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Fabios E, Zazpe I, García-Blanco L, de la O V, Martínez-González MÁ, Martín-Calvo N. Macronutrient quality and its association with micronutrient adequacy in children. Clin Nutr ESPEN 2024; 63:796-804. [PMID: 39173908 DOI: 10.1016/j.clnesp.2024.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 06/19/2024] [Accepted: 08/13/2024] [Indexed: 08/24/2024]
Abstract
BACKGROUND & AIMS The double burden of malnutrition compels us to reconsider macronutrients from a diet quality perspective. The Macronutrient Quality Index (MQI) has been designed to reflect overall macronutrient quality and is based on three sub-indexes: the carbohydrate quality index (CQI), the healthy plate protein quality index (HPPQI) and the fat quality index (FQI). Nutritional adequacy is an essential aspect of diet quality that should be captured by reliable dietary indexes. METHODS We analyzed the association between the Macronutrient Quality Index (MQI) and micronutrient adequacy. Participants were children aged 4 and 5 years, recruited in the SENDO cohort. Baseline information was collected through a self-administered online questionnaire, which included information on sociodemographic, dietary, and lifestyle variables. Dietary information was obtained using a 147-item validated semi-quantitative food frequency questionnaire. Participants were categorized into tertiles based on their MQI score. We evaluated the intake of 20 micronutrients and assessed the probability of micronutrient adequacy using the Estimated Average Requirement cut-off point. RESULTS Children in the highest tertile of MQI had 0.33-fold lower odds (95%CI 0.17-0.66) of having ≥3 inadequate micronutrient intakes than their peers in the lowest tertile, after adjusting for potential confounders. The adjusted proportions of children with inadequate intake of ≥3 micronutrients were 18%, 14% and 11% in the first, second, and third tertiles of MQI respectively. The MQI appears to be capable of capturing nutrient adequacy in children, although our results suggest that a modified MQI, with eggs and dairy products weighted positively, might be more adequate for the pediatric population.
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Affiliation(s)
- Elise Fabios
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, Pamplona, Spain
| | - Itziar Zazpe
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, Pamplona, Spain; IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Science and Physiology, School of Pharmacy, University of Navarra, Pamplona, Spain
| | - Lorena García-Blanco
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain; Olite Primary Care Health Center. Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - Victor de la O
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, Spain
| | - Miguel Ángel Martínez-González
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, Pamplona, Spain; IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain
| | - Nerea Martín-Calvo
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, Pamplona, Spain; IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
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Jebraeili H, Mirzababaei A, Abaj F, Mirzaei K. The association between carbohydrate quality index and headache severity, disability and duration among women with migraine : a cross-sectional study. Nutr Neurosci 2024; 27:1162-1173. [PMID: 38804008 DOI: 10.1080/1028415x.2024.2310880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
BACKGROUND & AIM This study aimed to examine the association between Carbohydrate Quality Index (CQI) and headache severity, disability and duration among women with migraine. MATERIALS & METHODS In this cross-sectional study, 266 women (aged 18-45 years) were enrolled using a 147-item food frequency questionnaire (FFQ). CQI was defined by four criteria: fiber intake, dietary glycemic index (DGI), whole grains/total grains ratio and solid carbohydrates/total carbohydrates ratio. Anthropometric measurements, visual analogue scale (VAS), migraine disability assessment (MIDAS), and headache duration were assessed for all participants. RESULTS Participants with a high adherence to CQI had lower odds of moderate pain (OR = 0.45; 95% CI = 0.21-0.94; P = 0.03) and severe pain (OR = 0.39; 95% CI = 0.18-0.82; P = 0.01) compared to those with a low adherence to CQI. After controlling for potential confounders, individuals with the greatest adherence to CQI showed a 78% reduced prevalence in severe pains and a 63% decreased occurrence in moderate pains compared to those with the lowest adherence (OR = 0.22; 95% CI = 0.09-0.55; P = 0.01 and OR = 0.37; 95% CI = 0.16-0.84; P = 0.01, respectively). Moreover, Subjects with higher adherence to CQI had lower odds of headache duration (OR = 0.54; 95% CI= 0.31-0.96; P = 0.03). The significant association remained (P < 0.05) even after confounding variables (OR = 0.59; 95 % CI = 0.35-1.002; P = 0.05). Despite adjusting for confounding valuables, there was no significant association between the CQI and MIDAS scores (P > 0.05). CONCLUSION Higher adherence to CQI was associated with lower severity and duration in patients with migraine. Further studies are needed to confirm these results.
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Affiliation(s)
- Haniyeh Jebraeili
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Atieh Mirzababaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Faezeh Abaj
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
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Li XY, Zhang YX, Wang XB, Nan YX, Wang DD, Sun MH, Chen HY, Guo RH, Leng X, Du Q, Pan BC, Wu QJ, Zhao YH. Associations between dietary macronutrient quality and asthenozoospermia risk: a hospital-based case-control study. Food Funct 2024; 15:6383-6394. [PMID: 38819120 DOI: 10.1039/d4fo01234h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Abstract
Background & aims: Macronutrients are the main part of the human diet and can affect multiple health outcomes. Nevertheless, associations between dietary macronutrient quality and asthenozoospermia risk have not been reported to date. Thus, this study aimed to be the first to explore the associations between macronutrient quality and asthenozoospermia risk using the novel multidimensional macronutrient quality index (MQI). Methods: A case-control study was conducted at infertility clinics of Shengjing Hospital of China Medical University during June and December 2020, including 552 asthenozoospermia cases and 585 normozoospermia controls. Data on diet were collected using a validated food frequency questionnaire. MQI was estimated according to the carbohydrate quality index (CQI), fat quality index (FQI), and protein quality index (PQI). Binary logistic regression models were performed to calculate the odds ratio (OR) with a 95% confidence interval (CI). Subgroup and interaction analyses were performed based on age, body mass index, physical activity, smoking, drinking, and education level. Dose-response relationships were evaluated by restricted cubic splines. Sensitivity analyses were performed in two ways. First, participants with a dietary change were excluded to lower potential reverse causation. Then, we used the healthy plate protein source quality index instead of PQI to redefine MQI. Results: No statistically significant association was observed between dietary MQI and asthenozoospermia risk (OR = 1.24, 95% CI: 0.88-1.73). The sub-indices of MQI, CQI, FQI, and PQI, failed to be identified as having a statistically significant association with asthenozoospermia risk (OR = 1.35, 95% CI: 0.92-1.97 for CQI; OR = 1.13, 95% CI: 0.84-1.53 for FQI; OR = 1.28, 95% CI: 0.92-1.78 for PQI). However, CQI showed a positive association with the risk of asthenozoospermia among non-drinkers (Ptrend < 0.05) and highly educated participants (OR = 1.82, 95% CI: 1.13-2.94; Ptrend < 0.05). Additionally, there was a multiplicative interaction between CQI and education level for asthenozoospermia risk (P < 0.05). Conclusions: Our findings demonstrated no association of MQI and its sub-indices with asthenozoospermia risk except for CQI. Although our findings are mostly non-significant, they contribute novel knowledge to this research field and lay the foundation for future studies.
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Affiliation(s)
- Xiao-Ying Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Xiao Zhang
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiao-Bin Wang
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Yu-Xin Nan
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Dong-Dong Wang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ming-Hun Sun
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Hong-Yu Chen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ren-Hao Guo
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Xu Leng
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qiang Du
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Bo-Chen Pan
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- NHC Key Laboratory of Advanced Reproductive Medicine and Fertility (China Medical University), National Health Commission, Shenyang, China
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
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Oliver Olid A, Fabios E, García-Blanco L, Moreno-Villares JM, Martínez-González MÁ, Martín-Calvo N. Higher adherence to the Mediterranean Diet is associated with lower micronutrient inadequacy in children: the SENDO project. Public Health Nutr 2023; 27:e8. [PMID: 38050795 PMCID: PMC10830367 DOI: 10.1017/s1368980023002707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 10/19/2023] [Accepted: 11/27/2023] [Indexed: 12/06/2023]
Abstract
OBJECTIVE To assess whether the Mediterranean Diet (MedDiet) is associated with lower micronutrients inadequacy in a sample of Spanish preschoolers. DESIGN We conducted a cross-sectional study with 4-5-year-old children participating in the SENDO project. Information was gathered through an online questionnaire completed by parents. Dietary information was collected with a previously validated semi-quantitative FFQ. The estimated average requirements or adequate intake levels as proposed by the Institute of Medicine were used as cut-off point to define inadequate intake. STATISTICAL ANALYSES Crude and multivariable adjusted estimates were calculated with generalised estimated equations to account for intra-cluster correlation between siblings. PARTICIPANTS We used baseline information of 1153 participants enrolled in the SENDO project between January 2015 and June 2022. MAIN OUTCOMES MEASURES OR and 95 % CI of presenting an inadequate intake of ≥ 3 micronutrients associated with the MedDiet. RESULTS The adjusted proportion of children with inadequate intake of ≥ 3 micronutrients was 27·2 %, 13·5 % and 8·1 % in the categories of low, medium and high adherence to the MedDiet, respectively. After adjusting for all potential confounders, children who had a low adherence to the MedDiet showed a significant lower odds of inadequate intake of ≥ 3 micronutrients compared to those with a high adherence (OR 9·85; 95 % CI 3·33, 29·09). CONCLUSION Lower adherence to the MedDiet is associated with higher odds of nutritional inadequacy.
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Affiliation(s)
- Asier Oliver Olid
- Department of Pediatrics, Hospital Universitario de Navarra, Pamplona, Spain
| | - Elise Fabios
- University of Navarra, School of Medicine, Department of Preventive Medicine and Public Health, Pamplona, Spain
| | - Lorena García-Blanco
- Olite Primary Care Health Center, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | | | - Miguel Ángel Martínez-González
- University of Navarra, School of Medicine, Department of Preventive Medicine and Public Health, Pamplona, Spain
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
- CIBER Pathophysiology of Obesity and Nutrition, Carlos III Health Institute, Madrid, Spain
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Nerea Martín-Calvo
- University of Navarra, School of Medicine, Department of Preventive Medicine and Public Health, Pamplona, Spain
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
- CIBER Pathophysiology of Obesity and Nutrition, Carlos III Health Institute, Madrid, Spain
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Cardoso LG, Monteiro LS, Sichieri R, Yokoo EM, Pereira RA. Changes in dietary carbohydrate and lipid quality indices between 2008 and 2018: Analysis of the Brazilian dietary surveys. NUTR BULL 2023; 48:546-558. [PMID: 37904632 DOI: 10.1111/nbu.12641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 09/22/2023] [Accepted: 10/02/2023] [Indexed: 11/01/2023]
Abstract
The aim of the study was to evaluate characteristics and changes over a decade in dietary carbohydrate and lipid quality according to socio-demographic variables. Data was obtained from two Brazilian National Dietary Surveys 2008-2009 (n = 34 003) and 2017-2018 (n = 46 164) examining a nationwide representative sample of individuals ≥10 years old. Food intake was assessed by means of two non-consecutive diet records (2008-2009) and 24 h diet recalls (2017-2018). Carbohydrate Quality Index is a score ranging from 4 to 20 calculated from fibre intake, global dietary glycaemic index, solid/total carbohydrate (CHO) and whole grains/total grains CHO. Lipid Quality Index was estimated by dividing the sum of the dietary content of monounsaturated and polyunsaturated fatty acids by the sum of saturated and trans fatty acids. Indices were categorised into five categories (1 for lowest and 5 for highest quality). Socio-demographic variables were sex, age, income, urban/rural area and place of food consumption. The estimates (95% CI) were generated separately for each survey and then compared to identify changes in time. Our main findings refer to changes in diet quality according to income. At the lowest income level, the proportions of individuals in the best carbohydrate and lipid quality categories reduced from 26.9% to 20.6% and from 30.0% to 24.9%, respectively. Alternatively, at the highest income level, these proportions increased from 22.9% to 26.6% and from 11.9% to 15.7%, respectively. Furthermore, the quality of lipids improved in women and among individuals reporting some away-from-home food consumption, while the quality of carbohydrates was reduced among adolescents and in rural areas.
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Affiliation(s)
- Luciana Guerra Cardoso
- Programa de Pós-graduação em Nutrição, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
- Universidade Federal do Estado do Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil
| | - Luana Silva Monteiro
- Instituto de Alimentação e Nutrição, Universidade Federal do Rio de Janeiro (UFRJ), Macaé, Brazil
| | - Rosely Sichieri
- Departamento de Epidemiologia, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | - Edna Massae Yokoo
- Departamento de Epidemiologia e Bioestatística, Universidade Federal Fluminense (UFF), Niterói, Brazil
| | - Rosângela Alves Pereira
- Departamento de Nutrição Social e Aplicada, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
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Fabios E, Martínez-González MÁ, García-Blanco L, de la O V, Santiago S, Zazpe I, Martín-Calvo N. Association between the Carbohydrate Quality Index (CQI) and Nutritional Adequacy in a Pediatric Cohort: The SENDO Project. CHILDREN (BASEL, SWITZERLAND) 2023; 10:1711. [PMID: 37892374 PMCID: PMC10605036 DOI: 10.3390/children10101711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 10/17/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023]
Abstract
Suboptimal micronutrient intake in children remains a public health concern around the world. This study examined the relationship between a previously defined dietary carbohydrate quality index (CQI) and the risk of micronutrient intake inadequacy in a pediatric cohort of Spanish preschoolers. Children aged 4-5 years old were recruited at their medical center or at school, and information on sociodemographic, dietary, and lifestyle variables were collected through a self-administered online questionnaire. Dietary information was obtained from a validated 147-item semi-quantitative food frequency questionnaire. We calculated the CQI and categorized participants into quartiles according to their scores. We assessed the intakes of 20 micronutrients and evaluated the probability of intake inadequacy by using the estimated average requirement cut-off point. Generalized estimating equations were used to adjust for potential confounders and account for the intra-cluster correlations between siblings. The adjusted proportions of children with an inadequate intake of ≥three micronutrients were 23%, 12%, 11%, and 9% in the first, second, third, and fourth quartiles of the CQI, respectively. Children in the highest quartile of the CQI had 0.22-fold lower odds (95% CI 0.10-0.48) of having ≥three inadequate micronutrient intakes than their peers in the lowest quartile. These findings reinforce the relevance of carbohydrate quality in children's diets.
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Affiliation(s)
- Elise Fabios
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (E.F.); (V.d.l.O.); (I.Z.); (N.M.-C.)
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (E.F.); (V.d.l.O.); (I.Z.); (N.M.-C.)
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, 31008 Pamplona, Spain;
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, 28029 Madrid, Spain
| | - Lorena García-Blanco
- San Juan Primary Care Health Center, Servicio Navarro de Salud-Osasunbidea, 31011 Pamplona, Spain;
| | - Víctor de la O
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (E.F.); (V.d.l.O.); (I.Z.); (N.M.-C.)
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, 28049 Madrid, Spain
| | - Susana Santiago
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, 31008 Pamplona, Spain;
- Department of Nutrition, Food Science and Physiology, School of Pharmacy, University of Navarra, 31008 Pamplona, Spain
| | - Itziar Zazpe
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (E.F.); (V.d.l.O.); (I.Z.); (N.M.-C.)
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, 31008 Pamplona, Spain;
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Nutrition, Food Science and Physiology, School of Pharmacy, University of Navarra, 31008 Pamplona, Spain
| | - Nerea Martín-Calvo
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (E.F.); (V.d.l.O.); (I.Z.); (N.M.-C.)
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, 31008 Pamplona, Spain;
- Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, 28029 Madrid, Spain
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Osugi K, Kusunoki Y, Ohigashi M, Kusunoki K, Inoue C, Inoue M, Takagi A, Tsunoda T, Kadoya M, Konishi K, Katsuno T, Koyama H. Association between low-carbohydrate diets and continuous glucose monitoring-derived time in ranges. J Diabetes Investig 2023; 14:659-668. [PMID: 38078864 PMCID: PMC10119912 DOI: 10.1111/jdi.13999] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 01/25/2023] [Accepted: 02/13/2023] [Indexed: 03/05/2023] Open
Abstract
AIMS Low-carbohydrate diets have become popular in the general community. The mutual relationship between the percentage of total energy intake from carbohydrates (CHO/E), glycemic control indices, and diabetes complications remains unclear. MATERIALS AND METHODS This cross-sectional study included 177 patients with type 2 diabetes mellitus who regularly visited outpatient clinics. In this study, dietary questionnaires were used to assess the intake ratio of the three macronutrients, and the low-carbohydrate-diet score was calculated. We investigated the association between the low-carbohydrate-diet score, continuous glucose monitoring (CGM)-derived short-term glycemic control indices, and diabetes complications in patients with type 2 diabetes mellitus. RESULTS The results are presented as medians (interquartile ranges) unless otherwise stated. Hemoglobin A1c was 7.1% (6.6-7.7%), CGM-derived time in range (TIR) was 75.3% (62.8-87.0%), body mass index (BMI) was 24.0 (22.1-26.3) kg/m2, and CHO/E was 49.8% (44.8-55.6%). BMI, triglycerides, and CGM-derived time above range decreased significantly with increasing low-carbohydrate-diet scores. However, no significant association was found between the low-carbohydrate-diet score and glycemic control indices, including TIR, mean amplitude of glycemic excursions, and vascular complications of type 2 diabetes mellitus. CONCLUSION Moderate-carbohydrate diets positively impact weight control and lipid metabolism but may have a limited effect on short-term glycemic variability in Japanese patients with type 2 diabetes mellitus.
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Affiliation(s)
- Keiko Osugi
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Yoshiki Kusunoki
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
- Kusunoki ClinicNeyagawa, OsakaJapan
| | - Mana Ohigashi
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | | | - Chikako Inoue
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Maki Inoue
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Ayako Takagi
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Taku Tsunoda
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Manabu Kadoya
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Kosuke Konishi
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Tomoyuki Katsuno
- Department of Occupational Therapy, School of RehabilitationHyogo Medical UniversityNishinomiyaHyogoJapan
| | - Hidenori Koyama
- Department of Diabetes, Endocrinology and Clinical Immunology, School of MedicineHyogo Medical UniversityNishinomiyaHyogoJapan
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Zheng G, Gong TT, Ma QP, Wei YF, Du ZD, Zhao JQ, Zou BJ, Yan S, Liu FH, Sun ML, Xiao Q, Gao S, Wu QJ, Zhao YH. The association of macronutrient quality and its interactions with energy intake with survival among patients with ovarian cancer: results from a prospective cohort study. Am J Clin Nutr 2023:S0002-9165(23)46306-X. [PMID: 37001589 DOI: 10.1016/j.ajcnut.2023.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 03/07/2023] [Accepted: 03/22/2023] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND Emerging evidence supports shifting the focus from the quantity of macronutrients to quality to obtain greater benefits for the prognosis of ovarian cancer (OC). Additionally, despite the high relevance between macronutrient quality and quantity, the interaction of these parameters on OC survival remains unknown. OBJECTIVE A multidimensional macronutrient quality index (MQI) was applied to investigate the association between overall macronutrient quality and the survival of patients with OC. METHODS A prospective cohort study was conducted with 701 females diagnosed with OC who were enrolled from 2015 to 2020. Dietary intake information was obtained from a validated food frequency questionnaire. The MQI was calculated based on 3 quality indices: carbohydrate quality index (CQI), fat quality index (FQI), and protein quality index (PQI). Cox proportional hazards regression was conducted to calculate HRs and 95% CIs. Furthermore, we evaluated whether energy intake status (total energy intake and energy balance) modified the association between MQI and OC survival. RESULTS During a median follow-up period of 38 (interquartile: 35-40) mo, 130 deaths occurred. The prediagnosis high MQI scores were associated with substantially improved survival among females with OC (HRtertile 3 vs. tertile 1 = 0.50, 95% CI: 0.33, 0.77). For sub-indices of the MQI, higher CQI (HR = 0.60, 95% CI: 0.36, 0.99), higher FQI (HR = 0.55, 95% CI: 0.34, 0.87), and higher PQI (HR = 0.58, 95% CI: 0.35, 0.94) scores were all associated with better survival. Notably, significant interactions were observed for the MQI score with total energy intake and energy balance as well as the quantity and quality of carbohydrates on survival. CONCLUSIONS Intake of high-quality macronutrients before diagnosis was associated with improved survival among females with OC, especially for those with energy imbalance. Am J Clin Nutr 2023;xxx:xx-xx.
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Affiliation(s)
- Gang Zheng
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Peng Ma
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Zong-Da Du
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Jun-Qi Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Bing-Jie Zou
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Shi Yan
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Ming-Li Sun
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qian Xiao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Reproductive and Genetic Medicine (China Medical University), National Health Commission, Shenyang, China.
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China.
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Asfura-Carrasco D, Santiago S, Zazpe I, Gómez-Donoso C, Bes-Rastrollo M, Martínez-González MÁ. Healthful and unhealthful provegetarian food patterns and micronutrient intake adequacy in the SUN cohort. Public Health Nutr 2023; 26:563-574. [PMID: 36124408 PMCID: PMC9989716 DOI: 10.1017/s136898002200204x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 08/12/2022] [Accepted: 08/23/2022] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To investigate the association between different versions of a provegetarian food pattern (FP) and micronutrient inadequacy. DESIGN Cross-sectional analysis. Dietary intake was assessed at baseline through a validated 136-item FFQ. Participants were classified according to groups of different versions of a provegetarian FP: overall, healthful and unhealthful. The prevalence of inadequate intake of vitamins B1, B2, B3, B6, B12, C, A, D, E, folic acid, Zn, I, Se, Fe, Ca, K, P, Mg and Cr was evaluated using the estimated average requirement (EAR) cut-point method and the probabilistic approach. Logistic regression analyses were conducted to estimate the probability of failing to meet EAR for either ≥ 3 or ≥ 6 micronutrients. SETTING Seguimiento Universidad de Navarra (SUN) cohort. PARTICIPANTS 17 825 Spanish adults. RESULTS Overall, subjects in the highest group of the unhealthful provegetarian FP had the highest prevalence of inadequate dietary intake for every vitamin and mineral, compared to those in the lowest group. The adjusted OR of failing to meet ≥ 3 EAR (highest v. lowest group) was 0·65 (0·54, 0·69) for the overall, 0·27 (0·24, 0·31) for the healthful and 9·04 (7·57, 10·4) for the unhealthful provegetarian FP. CONCLUSION A higher adherence to an overall and healthful provegetarian FP was inversely associated with the risk of failing to meet EAR values, whereas the unhealthful version was directly associated with micronutrient inadequacy. Provegetarian FP should be well planned, prioritising nutrient-dense plant foods and minimising ultra-processed and unhealthy ones.
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Affiliation(s)
- Daniela Asfura-Carrasco
- Department of Nutrition and Food Sciences and Physiology, University of Navarra, Pamplona, Spain
| | - Susana Santiago
- Department of Nutrition and Food Sciences and Physiology, University of Navarra, Pamplona, Spain
- Department of Preventive Medicine and Public Health, School of Medicine–Clínica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008Pamplona, Navarra, Spain
| | - Itziar Zazpe
- Department of Nutrition and Food Sciences and Physiology, University of Navarra, Pamplona, Spain
- Department of Preventive Medicine and Public Health, School of Medicine–Clínica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008Pamplona, Navarra, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Clara Gómez-Donoso
- Department of Preventive Medicine and Public Health, School of Medicine–Clínica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008Pamplona, Navarra, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, School of Medicine–Clínica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008Pamplona, Navarra, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, School of Medicine–Clínica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008Pamplona, Navarra, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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10
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de la O V, Zazpe I, de la Fuente-Arrillaga C, Santiago S, Goni L, Martínez-González MÁ, Ruiz-Canela M. Association between a new dietary protein quality index and micronutrient intake adequacy: a cross-sectional study in a young adult Spanish Mediterranean cohort. Eur J Nutr 2023; 62:419-432. [PMID: 36085527 PMCID: PMC9899725 DOI: 10.1007/s00394-022-02991-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 08/24/2022] [Indexed: 02/07/2023]
Abstract
PURPOSE There is no evidence of a dietary index that measures not only the quantity but also the quality of protein. The aim is to investigate the association between a new dietary protein quality index (PQI) and micronutrient intake adequacy in a Mediterranean cohort. DESIGN We assessed 17,535 participants' diet at baseline using a semi-quantitative FFQ. The PQI was calculated according to the ratio of protein (g/d) sources: [fish, seafood, lean meat, pulses, eggs, nuts, low-fat dairy, and whole grains]/[red and ultra-processed meats, whole-fat or semi-skimmed dairy, potatoes and refined grains]. Participants were classified into quintiles of PQI. We evaluated the intakes of Fe, Cr, I, K, Mg, Ca, P, Na, Se, Zn and vitamins A, B1, B2, B3, B6, B12, C, E and folic acid. Micronutrient adequacy was evaluated using DRIs. Logistic regression analysis was used to assess the micronutrient adequacy according to quintiles of PQI. RESULTS In this cross-sectional analysis, a total of 24.2% and 4.3% participants did not to meet DRIs in ≥ 4 and ≥ 8 micronutrients, respectively. The odds of failing to meet ≥ 4 and ≥ 8 DRI were lower in participants in the highest quintile of protein quality (OR = 0.22; IC 95% = 0.18, 0.26; P-trend < 0.001; and OR = 0.08; IC 95% = 0.05, 0.14; P-trend < 0.001, respectively) as compared to participants in the lowest quintile. CONCLUSION Higher PQI was found to be strongly associated with better micronutrient intake adequacy in this Mediterranean cohort. The promotion of high-quality protein intake may be helpful for a more adequate intake of micronutrients. The odds of failing to meet certain numbers of DRIs were lower rather than saying lower risk.
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Affiliation(s)
- Víctor de la O
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain ,grid.482878.90000 0004 0500 5302Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Itziar Zazpe
- grid.5924.a0000000419370271Department of Nutrition and Food Sciences and Physiology, Campus Universitario, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Carmen de la Fuente-Arrillaga
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Susana Santiago
- grid.5924.a0000000419370271Department of Nutrition and Food Sciences and Physiology, Campus Universitario, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Leticia Goni
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Miguel Ángel Martínez-González
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain ,grid.38142.3c000000041936754XDepartment of Nutrition, Harvard TH Chan School of Public Health, Boston, MA USA
| | - Miguel Ruiz-Canela
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
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11
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Zamanillo-Campos R, Chaplin A, Romaguera D, Abete I, Salas-Salvadó J, Martín V, Estruch R, Vidal J, Ruiz-Canela M, Babio N, Fiol F, de Paz JA, Casas R, Olbeyra R, Martínez-González MA, García-Gavilán JF, Goday A, Fernandez-Lazaro CI, Martínez JA, Hu FB, Konieczna J. Longitudinal association of dietary carbohydrate quality with visceral fat deposition and other adiposity indicators. Clin Nutr 2022; 41:2264-2274. [PMID: 36084360 PMCID: PMC9529821 DOI: 10.1016/j.clnu.2022.08.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 08/09/2022] [Accepted: 08/12/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND & AIMS The quality of dietary carbohydrates rather than total carbohydrate intake may determine the accumulation of visceral fat; however, to date, few studies have examined the impact of diet on adiposity using specific imaging techniques. Thus, the aim of this prospective study was to investigate the association between concurrent changes in carbohydrate quality index (CQI) and objectively-quantified adiposity distribution over a year. METHODS We analyzed a cohort of 1476 participants aged 55-75 years with overweight/obesity and metabolic syndrome (MetS) from the PREDIMED-Plus randomized controlled trial. Dietary intake information was obtained at baseline, 6- and 12-months from a validated 143-item semi-quantitative food-frequency questionnaire, and CQI (range: 4 to 20) was calculated based on four dietary criteria: total dietary fibre, glycemic index, wholegrain/total grain carbohydrate ratio, and solid/total carbohydrate ratio. Overall and regional adiposity (total body fat, visceral fat and android-to-gynoid fat ratio) was quantified using dual-energy X-ray absorptiometry at all three time points. Multiple adjusted linear mixed-effects models were used to assess associations between concurrent changes in repeatedly measured CQI and adiposity over time. RESULTS After controlling for potential confounding factors, a 3-point increment in CQI over 12-month follow-up was associated with a decrease in visceral fat (β -0.067 z-score, 95% CI -0.088; -0.046, p < 0.001), android-to-gynoid fat ratio (-0.038, -0.059; -0.017, p < 0.001), and total fat (-0.064, -0.080; -0.047, p < 0.001). Fibre intake and the ratio of wholegrain/total grain showed the strongest inverse associations with all adiposity indicators. CONCLUSIONS In this prospective cohort of older adults with overweight/obesity and MetS, we found that improvements in dietary carbohydrate quality over a year were associated with concurrent favorable changes in visceral and overall fat deposition. These associations were mostly driven by dietary fibre and the wholegrain/total grain ratio. TRIAL REGISTRATION The trial was registered at the International Standard Randomized. CONTROLLED TRIAL: (ISRCTN: http://www.isrctn.com/ISRCTN89898870) with number 89898870 and registration date of 24 July 2014, retrospectively registered.
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Affiliation(s)
- Rocío Zamanillo-Campos
- Research Group on Preventive Activities and Promotion Illes Balears (GRAPP-caIB), Health Research Institute of the Balearic Islands (IdISBa), Primary Care Research Unit of Mallorca (IB-Salut), Palma de Mallorca, Spain
| | - Alice Chaplin
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Dora Romaguera
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
| | - Itziar Abete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Jordi Salas-Salvadó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Pere Virgili (IISPV), Reus, Spain
| | - Vicente Martín
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Ramón Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Endocrinology, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Miguel Ruiz-Canela
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain
| | - Nancy Babio
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Pere Virgili (IISPV), Reus, Spain
| | - Francisca Fiol
- Atención Primaria Mallorca, Centro de Salud Son Serra de la Vileta, Palma de Mallorca, Spain
| | | | - Rosa Casas
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Romina Olbeyra
- Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Miguel A Martínez-González
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain
| | - Jesús F García-Gavilán
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Pere Virgili (IISPV), Reus, Spain
| | - Albert Goday
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute (IMIM), Department of Medicine, University of Barcelona, Barcelona, Spain; Departament de Medicina, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Cesar I Fernandez-Lazaro
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain
| | - J Alfredo Martínez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jadwiga Konieczna
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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12
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Nicholls J. Perspective: The Glycemic Index Falls Short as a Carbohydrate Food Quality Indicator to Improve Diet Quality. Front Nutr 2022; 9:896333. [PMID: 35529459 PMCID: PMC9067577 DOI: 10.3389/fnut.2022.896333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 03/29/2022] [Indexed: 11/13/2022] Open
Abstract
This perspective examines the utility of the glycemic index (GI) as a carbohydrate quality indicator to improve Dietary Guidelines for Americans (DGA) adherence and diet quality. Achieving affordable, high-quality dietary patterns can address multiple nutrition and health priorities. Carbohydrate-containing foods make important energy, macronutrient, micronutrient, phytochemical, and bioactive contributions to dietary patterns, thus improving carbohydrate food quality may improve diet quality. Following DGA guidance helps meet nutrient needs, achieve good health, and reduce risk for diet-related non-communicable diseases in healthy people, yet adherence by Americans is low. A simple indicator that identifies high-quality carbohydrate foods and improves food choice may improve DGA adherence, but there is no consensus on a definition. The GI is a measure of the ability of the available carbohydrate in a food to increase blood glucose. The GI is well established in research literature and popular resources, and some have called for including the GI on food labels and in food-based dietary guidelines. The GI has increased understanding about physiological responses to carbohydrate-containing foods, yet its role in food-based dietary guidance and diet quality is unresolved. A one-dimensional indicator like the GI runs the risk of being interpreted to mean foods are "good" or "bad," and it does not characterize the multiple contributions of carbohydrate-containing foods to diet quality, including nutrient density, a core concept in the DGA. New ways to define and communicate carbohydrate food quality shown to help improve adherence to high-quality dietary patterns such as described in the DGA would benefit public health.
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13
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Higher carbohydrate quality index is associated with better adequate micronutrient consumption in Brazilian women. NUTR HOSP 2022; 39:594-602. [DOI: 10.20960/nh.03662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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Vanegas P, Zazpe I, Santiago S, Fernandez-Lazaro CI, de la O V, Martínez-González MÁ. Macronutrient quality index and cardiovascular disease risk in the Seguimiento Universidad de Navarra (SUN) cohort. Eur J Nutr 2022; 61:3517-3530. [PMID: 35597843 PMCID: PMC9464119 DOI: 10.1007/s00394-022-02901-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 04/27/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE To assess the association between a multi-dimensional Macronutrient Quality Index (MQI) and the risk of cardiovascular disease (CVD) in a Mediterranean cohort. METHODS Prospective analyses among 18,418 participants (mean age 36 years, 60.8% women) of the Seguimiento Universidad de Navarra (SUN) cohort. Dietary intake information was obtained through a validated semi-quantitative food-frequency questionnaire (FFQ). The MQI (expressing high-quality macronutrient intake) was calculated based on three previously reported quality indices: the Carbohydrate Quality Index (CQI), the Fat Quality Index (FQI), and the Healthy Plate Protein source Quality Index (HPPQI). Adherence to the Mediterranean diet (MedDiet) and Provegetarian Diet was evaluated using the Trichopoulou index and the score proposed by Martínez-González, respectively. CVD was defined as new-onset stroke, myocardial infarction, or CVD death. RESULTS After a median follow-up time of 14 years (211,744 person-years), 171 cases of CVD were identified. A significant inverse association was found between the MQI and CVD risk with multivariable-adjusted HR for the highest vs. the lowest quartile of 0.60 (95% IC, 0.38-0.96; Ptrend = 0.024). CONCLUSION In this Mediterranean cohort, we found a significant inverse relationship between a multidimensional MQI (expressing high-quality macronutrient intake) and a lower risk of CVD.
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Affiliation(s)
- Paola Vanegas
- School of Pharmacy and Nutrition, Department of Nutrition and Food Sciences and Physiology, University of Navarra, Campus Universitario, 31080 Pamplona, Spain
| | - Itziar Zazpe
- School of Pharmacy and Nutrition, Department of Nutrition and Food Sciences and Physiology, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,School of Medicine, Department of Preventive Medicine and Public Health, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra Spain ,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Susana Santiago
- School of Pharmacy and Nutrition, Department of Nutrition and Food Sciences and Physiology, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra Spain
| | - Cesar I. Fernandez-Lazaro
- School of Medicine, Department of Preventive Medicine and Public Health, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra Spain
| | - Víctor de la O
- School of Medicine, Department of Preventive Medicine and Public Health, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra Spain ,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Miguel Ángel Martínez-González
- School of Medicine, Department of Preventive Medicine and Public Health, University of Navarra, Campus Universitario, 31080, Pamplona, Spain. .,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra, Spain. .,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. .,Department of Nutrition, Harvard T.H Chan School of Public Health, Boston, MA, USA.
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15
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Association between dietary related factors and central obesity among married women: China Health and Nutrition Survey. Appetite 2022; 168:105785. [PMID: 34728248 DOI: 10.1016/j.appet.2021.105785] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 10/25/2021] [Accepted: 10/29/2021] [Indexed: 12/31/2022]
Abstract
Waist-to-height ratio (WHtR) with a cut-off value of 0.5 has been recognized as an anthropometric indicator of central obesity to predict the risk of the chronic disease. The aim of our study was to identify dietary related risk factors of central obesity based on WHtR. We used cross-sectional data from the China Health and Nutrition Survey (CHNS) in 2011 obtained from 2881 married women aged 19-55. The association of dietary related factors and central obesity was analyzed using binary logistic regression and back-propagation artificial neural network. Overall, central obesity prevalence was 48.4% (1394/2881). Compared to the population of women without central obesity, the population of women with central obesity had an older average age (41.84 ± 6.89 years vs 38.45 ± 7.91 years, P < 0.001), and meanwhile an average lower per capita annual income (13904 ± 15916 CNY vs 16753 ± 19163 CNY, P < 0.001). Our analysis indicated that the score of dietary knowledge (adjusted odds ratio (aOR), 0.956; 95% confidence interval (CI), 0.936-0.976) and the score of food preferences (aOR, 0.961; 95% CI, 0.926-0.997) were significantly associated with lower risk of central obesity; whereas fast food (aOR, 1.002; 95% CI, 1.000-1.003) was associated with higher risk of central obesity. The study showed the score of dietary knowledge (15.5%), fast foods (10.2%), and the score of food preferences (8.8%) were the most important modifiable factors for central obesity. In summary, aging, fast food intake, and lower per capita annual income were positively associated with higher prevalence of central obesity, while higher scores of dietary knowledge and food preferences were negatively correlated. More nutrition education programs should be implemented by the government to strengthen the pro-healthy dietary behaviors.
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16
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Jebraeili H, Shabbidar S, Sajjadpour Z, Aghdam SD, Qorbani M, Rajab A, Sotoudeh G. The association between carbohydrate quality index and anthropometry, blood glucose, lipid profile and blood pressure in people with type 1 diabetes mellitus: a cross-sectional study in Iran. J Diabetes Metab Disord 2021; 20:1349-1358. [PMID: 34900786 PMCID: PMC8630175 DOI: 10.1007/s40200-021-00864-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 07/20/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND & AIM Both types and amounts of dietary carbohydrates have always been issues of discussion in diabetes mellitus. Therefore, this study aimed to investigate the association between carbohydrate quality index (CQI) and anthropometry, fasting blood glucose (FBG), lipid profile, systolic (SBP), and diastolic (DBP) blood pressure in adults with type 1 diabetes mellitus (T1DM). MATERIALS & METHODS This was a cross-sectional study conducted on 261 adults with T1DM aged 17-36 years who referred to the Iranian Diabetes Association or Diabetes Clinic of Tehran University of Medical Sciences. Dietary data were collected using a 147-item food frequency questionnaire (FFQ). The CQI was calculated from the three indices including dietary fiber, glycemic index (GI), and solid carbohydrates/total carbohydrates ratio. The weight, height, waist circumference, physical activity, HcA1c, SBP, DBP of all participants were measured. Biochemical assessment including serum lipids and FBG levels were analyzed on 81 individuals. RESULTS Participants with a higher CQI had a lower body weight, GI, glycemic load, energy, and macronutrient intake (p < 0.05). In addition, after adjustment for age, sex, duration of diabetes, body mass index, physical activity, and energy intake, the lowest level of glycated hemoglobin A1c (HbA1c) was observed in the third tertile of CQI (β = -0.2; SE = 0.1; p-trend = 0.04). No significant association was observed with respect to CQI with FBG, lipid profile, and blood pressure. CONCLUSION It was concluded that there was an inverse association between CQI and HbA1c. No significant association was found with respect to CQI with FBG, lipid profile and blood pressure.
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Affiliation(s)
- Haniyeh Jebraeili
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, No. 44, Hojjatdoost Alley, Naderi St. Keshavarz Blvd, P.O. Box: 1417653761, Tehran, Iran
| | - Sakineh Shabbidar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, No. 44, Hojjatdoost Alley, Naderi St. Keshavarz Blvd, P.O. Box: 1417653761, Tehran, Iran
| | - Zahra Sajjadpour
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, No. 44, Hojjatdoost Alley, Naderi St. Keshavarz Blvd, P.O. Box: 1417653761, Tehran, Iran
| | - Saeideh Delshad Aghdam
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, No. 44, Hojjatdoost Alley, Naderi St. Keshavarz Blvd, P.O. Box: 1417653761, Tehran, Iran
| | - Mostafa Qorbani
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | | | - Gity Sotoudeh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, No. 44, Hojjatdoost Alley, Naderi St. Keshavarz Blvd, P.O. Box: 1417653761, Tehran, Iran
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17
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Shang X, Hill E, Zhu Z, Liu J, Ge Z, Wang W, He M. Macronutrient Intake and Risk of Dementia in Community-Dwelling Older Adults: A Nine-Year Follow-Up Cohort Study. J Alzheimers Dis 2021; 85:791-804. [PMID: 34864666 DOI: 10.3233/jad-215042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Little is known about the association between macronutrient intake and incident dementia. OBJECTIVE To identify an optimal range of macronutrient intake associated with reduced risk of dementia. METHODS Our analysis included 93,389 adults aged 60-75 years from the UK Biobank. Diet was assessed using a web-based 24-h recall questionnaire between 2009-2012. Dementia was ascertained using hospital inpatient, death records, and self-reported data up to January 2021. We calculated a macronutrient score based on associations between an individual's macronutrient intake and incident dementia. RESULTS During a median follow-up of 8.7 years, 1,171 incident dementia cases were documented. We found U-shape relationships for carbohydrate, fat, and protein intake with incident dementia. Compared to individuals with optimal carbohydrate intake, those with high intake (HR (95%CI): 1.48(1.15-1.91)) but not low intake (1.19(0.89-1.57)) had a higher risk of dementia. In the multivariable analysis, a low-fat intake (HR (95%CI): 1.42(1.11-1.82)) was associated with a higher risk of all-cause dementia. After adjustment for covariates, a high (HR (95%CI): 1.41(1.09-1.83)) but not low protein intake (1.22(0.94-1.57)) was associated with an increased risk of dementia. Individuals in quintiles 3-5 of optimal macronutrient score had a lower risk of dementia compared with those in quintile 1 (HR (95%CI): 0.76(0.64-0.91) for quintile 3, 0.71(0.60-0.85) for quintile 4, 0.74(0.61-0.91) for quintile 5). The association between macronutrient score and incident dementia was significant across subgroups of age, gender, education, and smoking. CONCLUSION Moderate intakes of carbohydrate, fat, and protein were associated with the lowest risk of incident dementia.
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Affiliation(s)
- Xianwen Shang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Guangdong Cardiovascular Institute, Guangzhou, China.,Department of Medicine (Royal Melbourne Hospital), University of Melbourne, Melbourne, VIC, Australia
| | - Edward Hill
- Department of Medicine (Royal Melbourne Hospital), University of Melbourne, Melbourne, VIC, Australia.,Wicking Dementia Research and Education Centre, University of Tasmania, TAS, Australia
| | - Zhuoting Zhu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Guangdong Cardiovascular Institute, Guangzhou, China
| | - Jiahao Liu
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Zongyuan Ge
- Monash e-Research Center, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Center, Monash University, Melbourne, VIC, Australia
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Mingguang He
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.,Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC, Australia
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18
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Janbozorgi N, Djafarian K, Mohammadpour S, Zareie Abyane M, Zameni M, Badeli M, Akbarzade Z, C. T. Clark C, Shab-Bidar S. Association between carbohydrate quality index and general and central obesity in adults: A population-based study in Iran. J Cardiovasc Thorac Res 2021; 13:298-308. [PMID: 35047134 PMCID: PMC8749369 DOI: 10.34172/jcvtr.2021.47] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 09/07/2021] [Accepted: 09/24/2021] [Indexed: 12/18/2022] Open
Abstract
Introduction: To determine whether dietary carbohydrates quality index (CQI), glycemic index, and glycemic load is associated with general and abdominal obesity. Methods: 850 participants, 20 to 59 years old, were enrolled in a cross-sectional study from five Tehran districts through health houses. The 168 items in the semi--quantitative food frequency questionnaire were used to assess dietary intake. The CQI was calculated by using the following four components: glycemic index, total fiber, solid carbohydrate to total carbohydrate ratio, and whole grains: total grains ratio. Results: After adjusting for confounding factors, the chance of obesity in men (OR=0.38, 95% CI 0.15to 0.95; P =0.04) measured by waist circumference (WC) was significantly lower in the fourth quintile of CQI in comparison with the first quintile. In addition, OR for obesity in men (OR=2.53, 95% CI0.52 to 1.37; P =0.04) was significantly 2.5 times higher among those in the fourth quintile of glycemic index compared with those in the lowest quintile. There was no significant association between dietary carbohydrates with general obesity in men and women. Conclusion: In summary, dietary CQI is significantly inversely related to central obesity in men,according to this study. Additionally, adherence to a diet with a higher glycemic index in men is positively associated with central obesity.
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Affiliation(s)
- Nasim Janbozorgi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Kurosh Djafarian
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Saba Mohammadpour
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Mahtab Zareie Abyane
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Mahdi Zameni
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Mostafa Badeli
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Zahra Akbarzade
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Cain C. T. Clark
- Centre for Intelligent Healthcare, Coventry University, Coventry, CV15FB, U.K
| | - Sakineh Shab-Bidar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
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19
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Tsakoumaki F, Kyrkou C, Athanasiadis AP, Menexes G, Michaelidou AM. Nutritional Inadequacy: Unraveling the Methodological Challenges for the Application of the Probability Approach or the EAR Cut-Point Method-A Pregnancy Perspective. Nutrients 2021; 13:3473. [PMID: 34684473 PMCID: PMC8538604 DOI: 10.3390/nu13103473] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 09/20/2021] [Accepted: 09/28/2021] [Indexed: 12/17/2022] Open
Abstract
The aim of this study was to unravel the methodological challenges when exploring nutritional inadequacy, involving 608 healthy pregnant women. The usual intake of twenty-one nutrients was recorded by employing a validated FFQ. Simulated datasets of usual intake were generated, with randomly imposed uncertainty. The comparison between the usual intake and the EAR was accomplished with the probability approach and the EAR cut-point method. Point estimates were accompanied by bootstrap confidence intervals. Bootstrap intervals applied on the risk of inadequacy for raw and simulated data tended in most cases to overlap. A detailed statistical analysis, aiming to predict the level of inadequacy, as well as the application of the EAR cut-point method, along with bootstrap intervals, could effectively be used to assess nutrient inadequacy. However, the final decision for the method used depends on the distribution of nutrient-intake under evaluation. Irrespective of the applied methodology, moderate to high levels of inadequacy, calculated from FFQ were identified for certain nutrients (e.g., vitamins C, B6, magnesium, vitamin A), while the highest were recorded for folate and iron. Considering that micronutrient-poor, obesogenic diets are becoming more common, the underlying rationale may help towards unraveling the complexity characterizing nutritional inadequacies, especially in vulnerable populations.
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Affiliation(s)
- Foteini Tsakoumaki
- Department of Food Science and Technology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (F.T.); (C.K.)
| | - Charikleia Kyrkou
- Department of Food Science and Technology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (F.T.); (C.K.)
| | - Apostolos P. Athanasiadis
- 3rd Department of Obstetrics and Gynecology, School of Medicine, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece;
| | - Georgios Menexes
- Department of Field Crops and Ecology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece;
| | - Alexandra-Maria Michaelidou
- Department of Food Science and Technology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (F.T.); (C.K.)
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20
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Diet Quality Indices in the SUN Cohort: Observed Changes and Predictors of Changes in Scores Over a 10-Year Period. J Acad Nutr Diet 2021; 121:1948-1960.e7. [PMID: 33906824 DOI: 10.1016/j.jand.2021.03.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 03/16/2021] [Accepted: 03/16/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Dietary quality indices (DQI) are widely used in nutritional epidemiology. However, how they might change over time in a Mediterranean population is not well understood. OBJECTIVE To evaluate within-participant longitudinal changes in scores for nine a priori-defined DQIs: Fat Quality Index (FQI), Carbohydrate Quality Index (CQI), Pro-vegetarian Dietary Pattern (PVG), Mediterranean Diet Adherence Screener (MEDAS), Mediterranean Diet Score (MDS), Dietary Approaches to Stop Hypertension (DASH), Mediterranean-DASH Intervention for Neurodegenerative Delay Diet (MIND), Prime Diet Quality Score (PDQS) and Alternate Healthy Eating Index (AHEI-2010) in the "Seguimiento Universidad de Navarra" (SUN) cohort, a well-known Mediterranean cohort of university graduates, and to identify baseline predictors of improvement in MEDAS and AHEI-2010 after 10 years of follow-up. DESIGN In this longitudinal cohort study, DQI scores were calculated based on responses from a validated semiquantitative food-frequency questionnaire (FFQ). PARTICIPANTS/SETTING Spanish university graduates enrolled in the SUN cohort before March 2008, who completed the 10-year FFQ and reported total dietary intake at baseline and after 10 years of follow-up, included 2,244 men and 3,271 women, whose mean age at baseline was 36.3 years (standard deviation [SD], 10.7). MAIN OUTCOME MEASURES Main outcome measures were within-participant longitudinal changes for FQI, CQI, PVG, MEDAS, MDS, DASH, MIND, PDQS, and AHEI-2010. STATISTICAL ANALYSES PERFORMED Adjusted logistic regression models were used to evaluate within-participant longitudinal changes and to identify baseline predictors of improvements ≥10% in MEDAS and AHEI-2010 scores after 10 years of follow-up. RESULTS The comparison of the nine scores of DQI calculated at baseline and after 10 years of follow-up showed an improvement in all DQI scores except for PDQS. The greatest changes in DQIs were found for MEDAS (from 6.2 to 7.2, +22.9%) and MDS (from 4.3 to 4.4, +15.4%). The strongest predictors at baseline for ≥10% improvements in MEDAS or AHEI-2010 scores varied across indices. Being female, ≥35 years old, and more physically active at baseline were associated with improvement, whereas snacking between meals was associated with <10% improvements in both indices. CONCLUSIONS In this cohort, the changes in nine a priori-defined DQI scores suggested modest improvements in diet quality, in which MEDAS and MDS scores showed the largest improvements. Additional longitudinal studies, especially intervention trials with long follow-up, are warranted to establish the most appropriate DQIs to assess long-term changes in diet quality in adult populations.
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21
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Comparison of Indices of Carbohydrate Quality and Food Sources of Dietary Fiber on Longitudinal Changes in Waist Circumference in the Framingham Offspring Cohort. Nutrients 2021; 13:nu13030997. [PMID: 33808767 PMCID: PMC8003409 DOI: 10.3390/nu13030997] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/11/2021] [Accepted: 03/16/2021] [Indexed: 01/01/2023] Open
Abstract
The long-term impact of carbohydrate quality on abdominal weight gain is not fully understood. We aimed to examine the prospective relation of a carbohydrate quality index (CQI; defined by four criteria: dietary fiber, glycemic index, whole grain-to-total grain ratio, and solid-to-total carbohydrate ratio), total, cereal grain, vegetable, and fruit fiber, carbohydrate-to-total fiber ratio, and carbohydrate-to-cereal fiber ratio with changes in waist circumference (WC). Subjects were middle-aged to older, mostly white, participants in the Framingham Offspring cohort (n = 3101 subjects), with mean baseline age 54.9 ± 0.2 years (mean ± SE) and body mass index (BMI) 27.2 ± 0.1 kg/m2. Food frequency questionnaire (FFQ), health, and lifestyle data were collected approximately every four years over a median total follow-up of 18 years. Repeated measure mixed models were used to estimate adjusted mean change in WC per four-year interval across quartiles of carbohydrate variables. In the most adjusted model, a higher CQI was marginally associated with a smaller increase in WC (2.0 ± 0.1 vs. 2.4 ± 0.1 cm in highest vs. lowest quartile, p-trend = 0.04). Higher ratios of carbohydrate-to-fiber and carbohydrate-to-cereal fiber were associated with greater increases in WC per four-year interval (2.6 ± 0.1 vs. 2.0 ± 0.1 cm, p-trend < 0.001, and 2.5 ± 0.1 vs. 2.1 ± 0.1 cm in highest versus lowest categories, p-trend = 0.007, respectively); whereas higher intake of total fiber (1.8 ± 0.1 vs. 2.7 ± 0.1 cm, p-trend < 0.001), cereal fiber (2.0 ± 0.1 vs. 2.5 ± 0.1 cm, p-trend = 0.001), and fruit fiber (2.0 ± 0.1 vs. 2.7 ± 0.1 cm, p-trend < 0.001) were associated with smaller increases in WC compared to lower intakes. There was a significant interaction between total fiber and total carbohydrate (as % of total energy intake). After stratification, the association between fiber intake and change in WC was not maintained in the context of a high carbohydrate diet. Better carbohydrate quality, primarily higher fiber intake and lower carbohydrate-to-fiber ratios, may help attenuate increases in abdominal adiposity over time.
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Santiago S, Zazpe I, Fernandez-Lazaro CI, de la O V, Bes-Rastrollo M, Martínez-González MÁ. Macronutrient Quality and All-Cause Mortality in the SUN Cohort. Nutrients 2021; 13:972. [PMID: 33802782 PMCID: PMC8002396 DOI: 10.3390/nu13030972] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 03/12/2021] [Accepted: 03/15/2021] [Indexed: 11/24/2022] Open
Abstract
No previous study has assessed the relationship between overall macronutrient quality and all-cause mortality. We aimed to prospectively examine the association between a multidimensional macronutrient quality index (MQI) and all-cause mortality in the SUN (Seguimiento Universidad de Navarra) (University of Navarra Follow-Up) study, a Mediterranean cohort of middle-aged adults. Dietary intake information was obtained from a validated 136-item semi-quantitative food-frequency questionnaire. We calculated the MQI (categorized in quartiles) based on three quality indexes: the carbohydrate quality index (CQI), the fat quality index (FQI), and the healthy plate protein source quality index (HPPQI). Among 19,083 participants (mean age 38.4, 59.9% female), 440 deaths from all causes were observed during a median follow-up of 12.2 years (IQR, 8.3-14.9). No significant association was found between the MQI and mortality risk with multivariable-adjusted hazard ratio (HR) for the highest vs. the lowest quartile of 0.79 (95% CI, 0.59-1.06; Ptrend = 0.199). The CQI was the only component of the MQI associated with mortality showing a significant inverse relationship, with HR between extreme quartiles of 0.64 (95% CI, 0.45-0.90; Ptrend = 0.021). In this Mediterranean cohort, a new and multidimensional MQI defined a priori was not associated with all-cause mortality. Among its three sub-indexes, only the CQI showed a significant inverse relationship with the risk of all-cause mortality.
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Grants
- (RD 06/0045, CIBER-OBN, Grants PI10/02658, PI10/02293, PI13/00615, PI14/01668, PI14/01798, PI14/01764, PI17/01795, PI20/00564 and G03/140), Instituto de Salud Carlos III and European Regional Development Fund (FEDER)
- (45/2011, 122/2014, 41/2016), and the University of Navarra the Navarra Regional Government
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Affiliation(s)
- Susana Santiago
- Department of Nutrition and Food Sciences and Physiology, Campus Universitario, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (S.S.); (I.Z.)
| | - Itziar Zazpe
- Department of Nutrition and Food Sciences and Physiology, Campus Universitario, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (S.S.); (I.Z.)
| | - Cesar I. Fernandez-Lazaro
- Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.I.F.-L.); (V.d.l.O.); (M.B.-R.)
| | - Víctor de la O
- Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.I.F.-L.); (V.d.l.O.); (M.B.-R.)
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.I.F.-L.); (V.d.l.O.); (M.B.-R.)
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.I.F.-L.); (V.d.l.O.); (M.B.-R.)
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Seal CJ, Courtin CM, Venema K, de Vries J. Health benefits of whole grain: effects on dietary carbohydrate quality, the gut microbiome, and consequences of processing. Compr Rev Food Sci Food Saf 2021; 20:2742-2768. [PMID: 33682356 DOI: 10.1111/1541-4337.12728] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 01/26/2021] [Accepted: 01/26/2021] [Indexed: 02/06/2023]
Abstract
Grains are important sources of carbohydrates in global dietary patterns. The majority of these carbohydrates, especially in refined-grain products, are digestible. Most carbohydrate digestion takes place in the small intestine where monosaccharides (predominantly glucose) are absorbed, delivering energy to the body. However, a considerable part of the carbohydrates, especially in whole grains, is indigestible dietary fibers. These impact gut motility and transit and are useful substrates for the gut microbiota affecting its composition and quality. For the most part, the profile of digestible and indigestible carbohydrates and their complexity determine the nutritional quality of carbohydrates. Whole grains are more complex than refined grains and are promoted as part of a healthy and sustainable diet mainly because the contribution of indigestible carbohydrates, and their co-passenger nutrients, is significantly higher. Higher consumption of whole grain is recommended because it is associated with lower incidence of, and mortality from, CVD, type 2 diabetes, and some cancers. This may be due in part to effects on the gut microbiota. Although processing of cereals during milling and food manufacturing is necessary to make them edible, it also offers the opportunity to still further improve the nutritional quality of whole-grain flours and foods made from them. Changing the composition and availability of grain carbohydrates and phytochemicals during processing may positively affect the gut microbiota and improve health.
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Affiliation(s)
- Chris J Seal
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Christophe M Courtin
- Laboratory of Food Chemistry and Biochemistry and Leuven Food Science and Nutrition Research Centre (LFoRCe), KU Leuven, Kasteelpark Arenberg 20, B-3001, Leuven, Belgium
| | - Koen Venema
- Centre for Healthy Eating & Food Innovation, Maastricht University-Campus Venlo, St Jansweg 20, 5928 RC, Venlo, The Netherlands
| | - Jan de Vries
- Nutrition Solutions, Reuvekamp 26, 7213CE, Gorssel, The Netherlands
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Romanos-Nanclares A, Gea A, Martínez-González MÁ, Zazpe I, Gardeazabal I, Fernandez-Lazaro CI, Toledo E. Carbohydrate quality index and breast cancer risk in a Mediterranean cohort: The SUN project. Clin Nutr 2021; 40:137-145. [DOI: 10.1016/j.clnu.2020.04.037] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 03/20/2020] [Accepted: 04/24/2020] [Indexed: 12/22/2022]
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Julibert A, Del Mar Bibiloni M, Gallardo-Alfaro L, Abbate M, Martínez-González MÁ, Salas-Salvadó J, Corella D, Fitó M, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Cano-Ibañez N, Martín-Sánchez V, Pintó X, Gaforio JJ, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Sayon-Orea C, Becerra-Tomás N, Gimenez-Alba IM, Castañer O, Abete I, Tojal-Sierra L, Pérez-López J, Notario-Barandiaran L, Colom A, Garcia-Rios A, Castro-Barquero S, Bernal R, Santos-Lozano JM, Fernández-Lázaro CI, Hernández-Alonso P, Saiz C, Zomeño MD, Zulet MA, Belló-Mora MC, Basterra-Gortari J, Canudas S, Goday A, Tur JA. Metabolic Syndrome Features and Excess Weight Were Inversely Associated with Nut Consumption after 1-Year Follow-Up in the PREDIMED-Plus Study. J Nutr 2020; 150:3161-3170. [PMID: 33300039 DOI: 10.1093/jn/nxaa289] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 07/07/2020] [Accepted: 09/01/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND High nut consumption has been previously associated with decreased prevalence of metabolic syndrome (MetS) regardless of race and dietary patterns. OBJECTIVES The aim of this study was to assess whether changes in nut consumption over a 1-y follow-up are associated with changes in features of MetS in a middle-aged and older Spanish population at high cardiovascular disease risk. METHODS This prospective 1-y follow-up cohort study, conducted in the framework of the PREvención con DIeta MEDiterránea (PREDIMED)-Plus randomized trial, included 5800 men and women (55-75 y old) with overweight/obesity [BMI (in kg/m2) ≥27 and <40] and MetS. Nut consumption (almonds, pistachios, walnuts, and other nuts) was assessed using data from a validated FFQ. The primary outcome was the change from baseline to 1 y in features of MetS [waist circumference (WC), glycemia, HDL cholesterol, triglyceride (TG), and systolic and diastolic blood pressure] and excess weight (body weight and BMI) according to tertiles of change in nut consumption. Secondary outcomes included changes in dietary and lifestyle characteristics. A generalized linear model was used to compare 1-y changes in features of MetS, weight, dietary intakes, and lifestyle characteristics across tertiles of change in nut consumption. RESULTS As nut consumption increased, between each tertile there was a significant decrease in WC, TG, systolic blood pressure, weight, and BMI (P < 0.05), and a significant increase in HDL cholesterol (only in women, P = 0.044). The interaction effect between time and group was significant for total energy intake (P < 0.001), adherence to the Mediterranean diet (MedDiet) (P < 0.001), and nut consumption (P < 0.001). Across tertiles of increasing nut consumption there was a significant increase in extra virgin olive oil intake and adherence to the MedDiet; change in energy intake, on the other hand, was inversely related to consumption of nuts. CONCLUSIONS Features of MetS and excess weight were inversely associated with nut consumption after a 1-y follow-up in the PREDIMED-Plus study cohort. This trial was registered at isrctn.com as ISRCTN89898870.
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Affiliation(s)
- Alicia Julibert
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands, Palma de Mallorca, Spain
- Balearic Islands Health Research Institute (IdISBa), Palma de Mallorca, Spain
| | - Maria Del Mar Bibiloni
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands, Palma de Mallorca, Spain
- Balearic Islands Health Research Institute (IdISBa), Palma de Mallorca, Spain
| | - Laura Gallardo-Alfaro
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands, Palma de Mallorca, Spain
- Balearic Islands Health Research Institute (IdISBa), Palma de Mallorca, Spain
| | - Manuela Abbate
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands, Palma de Mallorca, Spain
- Balearic Islands Health Research Institute (IdISBa), Palma de Mallorca, Spain
| | - Miguel Á Martínez-González
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Jordi Salas-Salvadó
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, Pere Virgili Medical Research Institute (IISPV), Sant Joan University Hospital, University Rovira i Virgili, Reus, Spain
| | - Dolores Corella
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Montse Fitó
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - J Alfredo Martínez
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Cardiometabolics Nutrition Program, Madrid Institute for Advanced Research (IMDEA) Food, Excellence International Campus, Autonomous University of Madrid and Higher Council of Scientific Research (CEI UAM + CSIC), Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Ángel M Alonso-Gómez
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - Jesús Vioque
- Alicante Health and Biomedical Research Institute and Miguel Hernández University (ISABIAL-UMH),Alicante, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Dora Romaguera
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Balearic Islands Health Research Institute (IdISBa), Palma de Mallorca, Spain
| | - José Lopez-Miranda
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Ramon Estruch
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Internal Medicine, August Pi Sunyer Biomedical Research Institute (IDIBAPS), Clinic Hospital, University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, Málaga, Spain
| | - José Lapetra
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Sevilla Primary Health Care District, Sevilla, Spain
| | - Lluís Serra-Majem
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Naomi Cano-Ibañez
- CIBER Epidemiology and Public Health (CIBERESP), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Granada, Granada, Spain
| | - Vicente Martín-Sánchez
- CIBER Diabetes and Metabolic Diseases (CIBERDEM), Carlos III Health Institute (ISCIII), Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, Leon, Spain
| | - Xavier Pintó
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Bellvitge University Hospital, Hospitalet de Llobregat, Barcelona, Spain
| | - José J Gaforio
- CIBER Epidemiology and Public Health (CIBERESP), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Health Sciences, Center for Advanced Studies in Olive Grove and Olive Oils, University of Jaen, Jaen, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, San Carlos Hospital Health Research Institute (IdISSC), Madrid, Spain
| | - Josep Vidal
- Department of Endocrinology, August Pi Sunyer Biomedical Research Institute (IDIBAPS), Clinic Hospital, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Endocrinology, Jiménez-Díaz Foundation, Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, Madrid Institute for Advanced Research (IMDEA) Food, Excellence International Campus, Autonomous University of Madrid and Higher Council of Scientific Research (CEI UAM + CSIC), Madrid, Spain
| | - Emilio Ros
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, August Pi Sunyer Biomedical Research Institute (IDIBAPS), Clinic Hospital, University of Barcelona, Barcelona, Spain
| | - Carmen Sayon-Orea
- Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
- Navarra Health Service, Osasunbidea, Pamplona, Spain
| | - Nerea Becerra-Tomás
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, Pere Virgili Medical Research Institute (IISPV), Sant Joan University Hospital, University Rovira i Virgili, Reus, Spain
| | - Ignacio M Gimenez-Alba
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Itziar Abete
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Lucas Tojal-Sierra
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Jéssica Pérez-López
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - Leyre Notario-Barandiaran
- Alicante Health and Biomedical Research Institute and Miguel Hernández University (ISABIAL-UMH),Alicante, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Antoni Colom
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Balearic Islands Health Research Institute (IdISBa), Palma de Mallorca, Spain
| | - Antonio Garcia-Rios
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Sara Castro-Barquero
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Internal Medicine, August Pi Sunyer Biomedical Research Institute (IDIBAPS), Clinic Hospital, University of Barcelona, Barcelona, Spain
| | - Rosa Bernal
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, Málaga, Spain
| | - José M Santos-Lozano
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Sevilla Primary Health Care District, Sevilla, Spain
| | - Cesar I Fernández-Lázaro
- Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | - Pablo Hernández-Alonso
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, Pere Virgili Medical Research Institute (IISPV), Sant Joan University Hospital, University Rovira i Virgili, Reus, Spain
| | - Carmen Saiz
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Maria D Zomeño
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Maria A Zulet
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Maria C Belló-Mora
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Javier Basterra-Gortari
- Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
- Navarra Health Service, Osasunbidea, Pamplona, Spain
| | - Silvia Canudas
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, Pere Virgili Medical Research Institute (IISPV), Sant Joan University Hospital, University Rovira i Virgili, Reus, Spain
| | - Albert Goday
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Josep A Tur
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands, Palma de Mallorca, Spain
- Balearic Islands Health Research Institute (IdISBa), Palma de Mallorca, Spain
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26
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González-González AI, Perestelo-Pérez L, Koatz D, Ballester M, Pacheco-Huergo V, Ramos-García V, Torres-Castaño A, Rivero-Santana A, Toledo-Chávarri A, Valcárcel-Nazco C, Mateos-Rodilla J, Obaya-Rebollar JC, García-García J, Díaz-Sánchez S, Morales-Cobos L, Bosch-Fontcuberta JM, Vallejo-Camazón N, Rodríguez-Almodovar A, Del Castillo JC, Muñoz-Balsa M, Del Rey-Granado Y, Garrido-Elustondo S, Tello-Bernabé ME, Ramírez-Puerta AB, Orrego C. Effectiveness and cost-effectiveness of a virtual community of practice to improve the empowerment of patients with ischaemic heart disease: study protocol of a randomised controlled trial. BMJ Open 2020; 10:e037374. [PMID: 33046465 PMCID: PMC7552830 DOI: 10.1136/bmjopen-2020-037374] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 08/17/2020] [Accepted: 08/26/2020] [Indexed: 12/30/2022] Open
Abstract
INTRODUCTION Virtual Communities of Practice (VCoP) or knowledge-sharing virtual communities offer ubiquitous access to information and exchange possibilities for people in similar situations, which might be especially valuable for the self-management of patients with chronic diseases. In view of the scarce evidence on the clinical and economic impact of these interventions on chronic conditions, we aim to evaluate the effectiveness and cost-effectiveness of a VCoP in the improvement of the activation and other patient empowerment measures in patients with ischaemic heart disease (IHD). METHODS AND ANALYSIS A pragmatic randomised controlled trial will be performed in Catalonia, Madrid and Canary Islands, Spain. Two hundred and fifty patients with a recent diagnosis of IHD attending the participating centres will be selected and randomised to the intervention or control group. The intervention group will be offered participation for 12 months in a VCoP based on a gamified web 2.0 platform where there is interaction with other patients and a multidisciplinary professional team. Intervention and control groups will receive usual care. The primary outcome will be measured with the Patient Activation Measure questionnaire at baseline, 6, 12 and 18 months. Secondary outcomes will include: clinical variables; knowledge (Questionnaire of Cardiovascular Risk Factors), attitudes (Self-efficacy Managing Chronic Disease Scale), adherence to the Mediterranean diet (Mediterranean Diet Questionnaire), level of physical activity (International Physical Activity Questionnaire), depression (Patient Health Questionnaire), anxiety (Hospital Anxiety Scale-A), medication adherence (Adherence to Refill Medication Scale), quality of life (EQ-5D-5L) and health resources use. Data will be collected from self-reported questionnaires and electronic medical records. ETHICS AND DISSEMINATION The trial was approved by Clinical Research Ethics Committee of Gregorio Marañón University Hospital in Madrid, Nuestra Señora de Candelaria University Hospital in Santa Cruz de Tenerife and IDIAP Jordi Gol in Barcelona. The results will be disseminated through workshops, policy briefs, peer-reviewed publications, local/international conferences. TRIAL REGISTRATION NUMBER ClinicalTrials.gov Registry (NCT03959631). Pre-results.
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Affiliation(s)
- Ana Isabel González-González
- Goethe-Universitat Frankfurt am Main Institut fur Allgemeinmedizin, Frankfurt am Main, Hessen, Germany
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Madrid, Madrid, Spain
| | - Lilisbeth Perestelo-Pérez
- Servicio de Evaluación y Planificación del Servicio Canario de la Salud, Tenerife, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Tenerife, Spain
| | - Débora Koatz
- Avedis Donabedian Research Institute (FAD), Barcelona, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Barcelona, Spain
| | - Marta Ballester
- Avedis Donabedian Research Institute (FAD), Barcelona, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Barcelona, Spain
| | - Valeria Pacheco-Huergo
- Avedis Donabedian Research Institute (FAD), Barcelona, Spain
- Centro de Atención Primaria Turó, Instituto Catalán de la Salud, Barcelona, Spain
| | - Vanesa Ramos-García
- Fundación Canaria Instituto de Investigación Sanitaria de Canarias (FISC), Tenerife, Spain
| | | | - Amado Rivero-Santana
- Servicio de Evaluación y Planificación del Servicio Canario de la Salud, Tenerife, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Tenerife, Spain
| | - Ana Toledo-Chávarri
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Tenerife, Spain
- Fundación Canaria Instituto de Investigación Sanitaria de Canarias (FISC), Tenerife, Spain
| | | | - Juana Mateos-Rodilla
- Escuela Madrileña de Salud, Dirección General de Humanización y Atención al Paciente, Madrid, Spain
| | | | - Javier García-García
- Unidad de Calidad y Seguridad del Paciente. Hospital Universitario Nuestra Señora de Candelaria, Tenerife, Spain
| | | | - Luis Morales-Cobos
- Centro de Salud Las Américas, Gerencia Asistencial de Atención Primaria, Madrid, Spain
| | - Josep María Bosch-Fontcuberta
- Centro de Atención Primaria Encants, Instituto Catalán de la Salud, Barcelona, Spain
- Departament de Medicina Area de Medicina, Universitat Autonoma de Barcelona, Barcelona, Catalunya, Spain
| | | | | | | | - Marcos Muñoz-Balsa
- Unidad de Apoyo Técnico, Gerencia Asistencial Atención Primaria, Servicio Madrileño de Salud, Madrid, Spain
| | - Yolanda Del Rey-Granado
- Unidad de Apoyo Técnico, Gerencia Asistencial Atención Primaria, Servicio Madrileño de Salud, Madrid, Spain
| | - Sofía Garrido-Elustondo
- Centre Family and Community Care Teaching Multiprofessional Unit, Comunidad de Madrid Consejeria de Sanidad, Madrid, Spain
| | - María-Eugenia Tello-Bernabé
- Centro de Salud El Naranjo, Gerencia Asistencial Atención Primaria, Servicio Madrileño de Salud, Madrid, Spain
| | - Ana Belén Ramírez-Puerta
- Unidad de Apoyo Técnico, Gerencia Asistencial Atención Primaria, Servicio Madrileño de Salud, Madrid, Spain
| | - Carola Orrego
- Avedis Donabedian Research Institute (FAD), Barcelona, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Barcelona, Spain
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27
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Bouzas C, Bibiloni MDM, Garcia S, Mateos D, Martínez-González MÁ, Salas-Salvadó J, Corella D, Schröder H, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Micó-Pérez RM, Pintó X, Delgado-Rodríguez M, Ortíz-Ramos M, Altés-Boronat A, Luca BL, Daimiel L, Ros E, Sayon-Orea C, Becerra-Tomás N, Gimenez-Alba IM, Castañer O, Abete I, Tojal-Sierra L, Pérez-López J, Bernabé-Casanova A, Martin-Padillo M, Garcia-Rios A, Castro-Barquero S, Fernández-García JC, Santos-Lozano JM, Fernandez-Lazaro CI, Hernández-Alonso P, Saiz C, Zomeño MD, Zulet MA, Belló-Mora MC, Basterra-Gortari FJ, Canudas S, Goday A, Tur JA. Dietary Quality Changes According to the Preceding Maximum Weight: A Longitudinal Analysis in the PREDIMED-Plus Randomized Trial. Nutrients 2020; 12:3023. [PMID: 33023132 PMCID: PMC7600377 DOI: 10.3390/nu12103023] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 09/27/2020] [Accepted: 09/30/2020] [Indexed: 02/07/2023] Open
Abstract
One-year dietary quality change according to the preceding maximum weight in a lifestyle intervention program (PREDIMED-Plus trial, 55-75-year-old overweight or obese adults; n = 5695) was assessed. A validated food frequency questionnaire was used to assess dietary intake. A total of 3 groups were made according to the difference between baseline measured weight and lifetime maximum reported weight: (a) participants entering the study at their maximum weight, (b) moderate weight loss maintainers (WLM), and (c) large WLM. Data were analyzed by General Linear Model. All participants improved average lifestyle. Participants entering the study at their maximum weight were the most susceptible to improve significantly their dietary quality, assessed by adherence to Mediterranean diet, DII and both healthful and unhealthful provegetarian patterns. People at maximum weight are the most benefitted in the short term by a weight management program. Long term weight loss efforts may also reduce the effect of a weight management program.
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Grants
- PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI1 Instituto de Salud Carlos III
- CIBEROBN Instituto de Salud Carlos III
- N/A European Regional Development Fund
- Advanced Research Grant 2013-2018, 340918 European Research Council
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Affiliation(s)
- Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, & CIBEROBN, Guillem Colom Bldg, Campus E, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain;
| | - Maria del Mar Bibiloni
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, & CIBEROBN, Guillem Colom Bldg, Campus E, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain;
| | - Silvia Garcia
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, & CIBEROBN, Guillem Colom Bldg, Campus E, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain;
| | - David Mateos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, & CIBEROBN, Guillem Colom Bldg, Campus E, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain;
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008 Pamplona, Spain; (M.D.-R.); (C.S.-O.); (C.I.F.-L.); (F.J.B.-G.)
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Hospital Universitari de Sant Joan, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain;
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain;
| | - J. Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Cardiometabolic Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Ángel M. Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071 Málaga, Spain
| | - Jesús Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain;
- Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Miguel Hernández University, 46020 Alicante, Spain;
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain;
| | - José Lopez-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Francisco J. Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Endocrinology, Virgen de la Victoria Hospital, Instituto de Investigación Biomédica de Málaga, IBIMA, University of Málaga, 29010 Málaga, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Luís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016 Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Miguel Hernández University, 46020 Alicante, Spain;
- Department of Preventive Medicine, University of Granada, 18071 Granada, Spain
| | - Rafael M. Micó-Pérez
- Fundación Semergen, 28009 Madrid, Spain;
- Cátedra de Investigación en Cronicidad, Miguel Hernández University-Semergen, 03550 Sant Joan d’Alacant, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008 Pamplona, Spain; (M.D.-R.); (C.S.-O.); (C.I.F.-L.); (F.J.B.-G.)
- Department of Health Sciences, Center for Advanced Studies in Olive Grove and Olive Oils, University of Jaen, 23071 Jaen, Spain
| | - María Ortíz-Ramos
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain;
| | - Andreu Altés-Boronat
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain;
| | - Bogdana L. Luca
- Department of Endocrinology, Fundación Jiménez-Díaz, 28040 Madrid, Spain;
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Endocrinology and Nutrition, Lipid Clinic Unit, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Carmen Sayon-Orea
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008 Pamplona, Spain; (M.D.-R.); (C.S.-O.); (C.I.F.-L.); (F.J.B.-G.)
- Servicio Navarro de Salud, Osasunbidea, IDISNA, 31003 Pamplona, Spain
| | - Nerea Becerra-Tomás
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Hospital Universitari de Sant Joan, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Ignacio Manuel Gimenez-Alba
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain;
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Lucas Tojal-Sierra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - Jéssica Pérez-López
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071 Málaga, Spain
| | | | - Marian Martin-Padillo
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain;
| | - Antonio Garcia-Rios
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - José Carlos Fernández-García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Endocrinology, Virgen de la Victoria Hospital, Instituto de Investigación Biomédica de Málaga, IBIMA, University of Málaga, 29010 Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Cesar I. Fernandez-Lazaro
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008 Pamplona, Spain; (M.D.-R.); (C.S.-O.); (C.I.F.-L.); (F.J.B.-G.)
| | - Pablo Hernández-Alonso
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Hospital Universitari de Sant Joan, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Carmen Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Maria Dolors Zomeño
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain;
| | - Maria Angeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Maria C. Belló-Mora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - F. Javier Basterra-Gortari
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008 Pamplona, Spain; (M.D.-R.); (C.S.-O.); (C.I.F.-L.); (F.J.B.-G.)
- Servicio Navarro de Salud, Osasunbidea, IDISNA, 31003 Pamplona, Spain
| | - Silvia Canudas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Hospital Universitari de Sant Joan, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Albert Goday
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain;
| | - Josep A. Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (S.G.); (D.M.); (M.Á.M.-G.); (J.S.-S.); (D.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (X.P.); (E.R.); (N.B.-T.); (I.M.G.-A.); (O.C.); (I.A.); (L.T.-S.); (J.P.-L.); (A.G.-R.); (S.C.-B.); (J.C.F.-G.); (J.M.S.-L.); (P.H.-A.); (C.S.); (M.D.Z.); (M.A.Z.); (M.C.B.-M.); (S.C.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, & CIBEROBN, Guillem Colom Bldg, Campus E, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain;
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Vieira LM, Gottschall CB, Vinholes DB, Martinez-Gonzalez MA, Marcadenti A. Translation and cross-cultural adaptation of 14-item Mediterranean Diet Adherence Screener and low-fat diet adherence questionnaire. Clin Nutr ESPEN 2020; 39:180-189. [DOI: 10.1016/j.clnesp.2020.06.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 05/03/2020] [Accepted: 06/23/2020] [Indexed: 12/26/2022]
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Cano-Ibáñez N, Bueno-Cavanillas A, Martínez-González MÁ, Salas-Salvadó J, Corella D, Freixer GL, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Tinahones FJ, Lapetra J, Pintó X, Tur JA, García-Ríos A, García-Molina L, Delgado-Rodríguez M, Matía-Martín P, Daimiel L, Martín-Sánchez V, Vidal J, Vázquez C, Ros E, Bartolomé-Resano J, Palau-Galindo A, Portoles O, Torres L, Miquel-Fiol, Sánchez MTC, Sorto-Sánchez C, Moreno-Morales N, Abete I, Álvarez-Pérez J, Sacanella E, Bernal-López MR, Santos-Lozano JM, Fanlo-Maresma M, Bouzas C, Razquin C, Becerra-Tomás N, Ortega-Azorin C, LLimona R, Morey M, Román-Maciá J, Goicolea-Güemez L, Vázquez-Ruiz Z, Barrubés L, Fitó M, Gea A. Effect of changes in adherence to Mediterranean diet on nutrient density after 1-year of follow-up: results from the PREDIMED-Plus Study. Eur J Nutr 2020; 59:2395-2409. [PMID: 31523780 DOI: 10.1007/s00394-019-02087-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 08/30/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND The prevalence of overweight/obesity and related manifestations such as metabolic syndrome (MetS) is increasing worldwide. High energy density diets, usually with low nutrient density, are among the main causes. Some high-quality dietary patterns like the Mediterranean diet (MedDiet) have been linked to the prevention and better control of MetS. However, it is needed to show that nutritional interventions promoting the MedDiet are able to improve nutrient intake. OBJECTIVE To assess the effect of improving MedDiet adherence on nutrient density after 1 year of follow-up at the PREDIMED-Plus trial. METHODS We assessed 5777 men (55-75 years) and women (60-75 years) with overweight or obesity and MetS at baseline from the PREDIMED-Plus trial. Dietary changes and MedDiet adherence were evaluated at baseline and after 1 year. The primary outcome was the change in nutrient density (measured as nutrient intake per 1000 kcal). Multivariable-adjusted linear regression models were fitted to analyse longitudinal changes in adherence to the MedDiet and concurrent changes in nutrient density. RESULTS During 1-year follow-up, participants showed improvements in nutrient density for all micronutrients assessed. The density of carbohydrates (- 9.0%), saturated fatty acids (- 10.4%) and total energy intake (- 6.3%) decreased. These changes were more pronounced in the subset of participants with higher improvements in MedDiet adherence. CONCLUSIONS The PREDIMED-Plus dietary intervention, based on MedDiet recommendations for older adults, maybe a feasible strategy to improve nutrient density in Spanish population at high risk of cardiovascular disease with overweight or obesity.
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Grants
- FPU14/3630 Ministry of Education of Spain
- PI13/00673 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI13/00492 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI13/00272 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI13/01123 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI13/00462 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI13/00233 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI13/02184 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI13/00728 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI13/01090 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI13/01056 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI14/01722 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI14/00636 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI14/00618 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI14/00696 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI14/01206 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI14/01919 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI14/00853 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI14/01374 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI16/00473 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI16/00662 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI16/01873 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI16/01094 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI16/00501 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI16/00533 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI16/00381 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI16/00366 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI16/01522 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI16/01120 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI17/00764 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI17/01183 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI17/00855 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI17/01347 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI17/00525 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI17/01827 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI17/00532 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI17/00215 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI17/01441 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI17/00508 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI17/01732 Official funding agency for biomedical research of the Spanish Government, ISCIII
- PI17/00926 Official funding agency for biomedical research of the Spanish Government, ISCIII
- 2013ACUP00194 Recercaixa
- PI0458/2013 Consejería de Salud de la Junta de Andalucía
- PS0358/2016 Consejería de Salud de la Junta de Andalucía
- PI0137/2018 Consejería de Salud de la Junta de Andalucía
- PROMETEO/2017/017 Generalitat Valenciana
- CB06/03 CIBEROBN, ISCIII
- 201302 International Nut&Dried Fruit Council- FESNAD
- 340918 European Research Council
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Affiliation(s)
- Naomi Cano-Ibáñez
- Department of Preventive Medicine and Public Health, University of Granada, Avda. De la Investigación 11, 18016, Granada, Spain.
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain.
| | - Aurora Bueno-Cavanillas
- Department of Preventive Medicine and Public Health, University of Granada, Avda. De la Investigación 11, 18016, Granada, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, Medical School, University of Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdisNa), Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
| | - Jordi Salas-Salvadó
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Dolores Corella
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - Gal-la Freixer
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar, Institut Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Dora Romaguera
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - Jesús Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Nutritional Epidemiology Unit, Miguel Hernández University, ISABIAL-FISABIO, Alicante, Spain
| | - Ángel M Alonso-Gómez
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Malaga-Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - J Alfredo Martínez
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Nutrition, Food Sciences and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Lluis Serra-Majem
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Ramón Estruch
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - José Lapetra
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Seville, Spain
| | - Xavier Pintó
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Josep A Tur
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Antonio García-Ríos
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
| | - Laura García-Molina
- Department of Preventive Medicine and Public Health, University of Granada, Avda. De la Investigación 11, 18016, Granada, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Miguel Delgado-Rodríguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Health Sciences, University of Jaen, Jaen, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Vicente Martín-Sánchez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Clotilde Vázquez
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, Spain
| | - Emilio Ros
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Lipid Clinic Department of Endocrinology and Nutrition, IDIBAPS, Hospital Clinic, Barcelona, Spain
| | - Javier Bartolomé-Resano
- Department of Preventive Medicine and Public Health, Medical School, University of Navarra, Pamplona, Spain
- Navarra Health Service-Osasunbidea, Pamplona, Spain
| | - Antoni Palau-Galindo
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- ABS Reus V. Centre d'Assistència Primària Marià Fortuny, SAGESSA, Reus, Spain
| | - Olga Portoles
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - Laura Torres
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar, Institut Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Miquel-Fiol
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | | | - Carolina Sorto-Sánchez
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Noelia Moreno-Morales
- Department of Physiotherapy, School of Health Sciences, University of Malaga-Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Itziar Abete
- Navarra Institute for Health Research (IdisNa), Pamplona, Spain
- Department of Nutrition, Food Sciences and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Jacqueline Álvarez-Pérez
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Emilio Sacanella
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - María Rosa Bernal-López
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Internal Medicine, Regional University Hospital of Malaga, Instituto de Investigación Biomédica de Malaga (IBIMA), Malaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Seville, Spain
- Department of Medicine, Facultad de Medicina, University of Sevilla, Seville, Spain
| | - Marta Fanlo-Maresma
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Cristina Bouzas
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Cristina Razquin
- Department of Preventive Medicine and Public Health, Medical School, University of Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdisNa), Pamplona, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
| | - Nerea Becerra-Tomás
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Carolina Ortega-Azorin
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - Regina LLimona
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar, Institut Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Marga Morey
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | | | - Leire Goicolea-Güemez
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Zenaida Vázquez-Ruiz
- Department of Preventive Medicine and Public Health, Medical School, University of Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdisNa), Pamplona, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
| | - Laura Barrubés
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Montse Fitó
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar, Institut Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Alfredo Gea
- Department of Preventive Medicine and Public Health, Medical School, University of Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdisNa), Pamplona, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
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Bouzas C, Bibiloni MDM, Julibert A, Ruiz-Canela M, Salas-Salvadó J, Corella D, Zomeño MD, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Tinahones FJ, Lapetra J, Pintó X, García Ríos A, Bueno-Cavanillas A, Gaforio JJ, Matía-Martín P, Daimiel L, Martín-Sánchez V, Vidal J, Vázquez C, Ros E, Fernandez-Lázaro CI, Becerra-Tomás N, Gimenez-Alba IM, Muñoz J, Morey M, Oncina-Canovas A, Tojal-Sierra L, Pérez-López J, Abete I, Casañas-Quintana T, Castro-Barquero S, Bernal-López MR, Santos-Lozano JM, Galera A, Angullo-Martinez E, Basterra-Gortari FJ, Basora J, Saiz C, Castañer O, Martín M, Notario-Barandiarán L, Belló-Mora MC, Sayón-Orea C, García-Gavilán J, Goday A, Tur JA. Adherence to the Mediterranean Lifestyle and Desired Body Weight Loss in a Mediterranean Adult Population with Overweight: A PREDIMED-Plus Study. Nutrients 2020; 12:2114. [PMID: 32708828 PMCID: PMC7400596 DOI: 10.3390/nu12072114] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 07/03/2020] [Accepted: 07/09/2020] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Body weight dissatisfaction is a hindrance to following a healthy lifestyle and it has been associated with weight concerns. OBJECTIVES The aim of this study was to assess the association between the adherence to the Mediterranean lifestyle (diet and exercise) and the desired body weight loss in an adult Mediterranean population with overweight. METHODS Cross-sectional analysis in 6355 participants (3268 men; 3087 women) with metabolic syndrome and BMI (Body mass index) between 27.0 and 40.0 kg/m2 (55-75 years old) from the PREDIMED-Plus trial. Desired weight loss was the percentage of weight that participants wished to lose. It was categorized into four cut-offs of this percentage (Q1: <10%, n = 1495; Q2: 10-15%, n = 1804; Q3: <15-20%, n = 1470; Q4: ≥20%, n = 1589). Diet was assessed using a validated food frequency questionnaire and a 17-item Mediterranean diet questionnaire. Physical activity was assessed by the validated Minnesota-REGICOR and the validated Spanish version of the Nurses' Health Study questionnaire. RESULTS Participants reporting higher percentages of desired weight loss (Q3 and Q4) were younger, had higher real and perceived BMI and were more likely to have abdominal obesity. Desired weight loss correlated inversely to physical activity (Q1: 2106 MET min/week; Q4: 1585 MET min/week. p < 0.001) and adherence to Mediterranean diet (Q1: 8.7; Q4: 8.3. p < 0.001). CONCLUSIONS In older Mediterranean individuals with weight excess, desired weight loss was inversely associated with Mediterranean lifestyle adherence. Deeply rooted aspects of the MedDiet remained similar across groups. Longitudinal research is advised to be able to establish causality.
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Affiliation(s)
- Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Guillem Colom Bldg, Campus, 07122 Palma de Mallorca, Spain;
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Maria del Mar Bibiloni
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Guillem Colom Bldg, Campus, 07122 Palma de Mallorca, Spain;
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Alicia Julibert
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Guillem Colom Bldg, Campus, 07122 Palma de Mallorca, Spain;
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Miguel Ruiz-Canela
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Universitat Rovira i Virgili, Department of Biochemistry and Biotechnology, Human Nutrition Unit, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Maria Dolors Zomeño
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain
- Blanquerna School of Health Sciences, Universitat Ramon Llull, 08022 Barcelona, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Jesús Vioque
- Unit of Nutritional Epidemiology, Miguel Hernández University, ISABIAL-UMH, 46020 Alicante, Spain; (J.V.); (A.O.-C.); (L.N.-B.)
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (A.B.-C.); (J.J.G.)
| | - Ángel M. Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071 Málaga, Spain
| | - J. Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Luís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Francisco J. Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Virgen de la Victoria Hospital, Department of Endocrinology, Biomedical Research Institute of Málaga (IBIMA), University of Málaga, 29010 Málaga, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Antonio García Ríos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Aurora Bueno-Cavanillas
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (A.B.-C.); (J.J.G.)
- Department of Preventive Medicine, University of Granada, 18071 Granada, Spain
| | - José J. Gaforio
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (A.B.-C.); (J.J.G.)
- Department of Health Sciences, Centro de Estudios Avanzados en Olivar y Aceites de Oliva, University of Jaen, 23071 Jaen, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain;
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
| | - Vicente Martín-Sánchez
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain;
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain;
| | - Clotilde Vázquez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Endocrinology, Fundación Jiménez-Díaz, 28040 Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Cesar Ignacio Fernandez-Lázaro
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
| | - Nerea Becerra-Tomás
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Universitat Rovira i Virgili, Department of Biochemistry and Biotechnology, Human Nutrition Unit, 43201 Reus, Spain
| | - Ignacio Manuel Gimenez-Alba
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Julia Muñoz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Marga Morey
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Alejandro Oncina-Canovas
- Unit of Nutritional Epidemiology, Miguel Hernández University, ISABIAL-UMH, 46020 Alicante, Spain; (J.V.); (A.O.-C.); (L.N.-B.)
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (A.B.-C.); (J.J.G.)
| | - Lucas Tojal-Sierra
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Guillem Colom Bldg, Campus, 07122 Palma de Mallorca, Spain;
- Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - Jéssica Pérez-López
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071 Málaga, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Tamara Casañas-Quintana
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - M. Rosa Bernal-López
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Virgen de la Victoria Hospital, Department of Endocrinology, Biomedical Research Institute of Málaga (IBIMA), University of Málaga, 29010 Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Ana Galera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Escarlata Angullo-Martinez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Guillem Colom Bldg, Campus, 07122 Palma de Mallorca, Spain;
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- Escola Graduada Primary Health Care Center, IBSalut, 07002 Palma de Mallorca, Spain
| | - F. Javier Basterra-Gortari
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
- Servicio Navarro de Salud, Osasunbidea, 31071 Pamplona, Spain
| | - Josep Basora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Universitat Rovira i Virgili, Department of Biochemistry and Biotechnology, Human Nutrition Unit, 43201 Reus, Spain
| | - Carmen Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Marian Martín
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Leyre Notario-Barandiarán
- Unit of Nutritional Epidemiology, Miguel Hernández University, ISABIAL-UMH, 46020 Alicante, Spain; (J.V.); (A.O.-C.); (L.N.-B.)
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (A.B.-C.); (J.J.G.)
| | - María C. Belló-Mora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - Carmen Sayón-Orea
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
- Servicio Navarro de Salud, Osasunbidea, 31071 Pamplona, Spain
| | - Jesús García-Gavilán
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Universitat Rovira i Virgili, Department of Biochemistry and Biotechnology, Human Nutrition Unit, 43201 Reus, Spain
| | - Albert Goday
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Josep A. Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (C.B.); (M.d.M.B.); (A.J.); (M.R.-C.); (J.S.-S.); (D.C.); (M.D.Z.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (J.M.); (M.M.); (J.P.-L.); (I.A.); (T.C.-Q.); (S.C.-B.); (M.R.B.-L.); (J.M.S.-L.); (A.G.); (E.A.-M.); (F.J.B.-G.); (J.B.); (C.S.); (O.C.); (M.M.); (M.C.B.-M.); (C.S.-O.); (J.G.-G.); (A.G.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Guillem Colom Bldg, Campus, 07122 Palma de Mallorca, Spain;
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
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The association between carbohydrate quality and nutrient adequacy in Australian adults. Eur J Clin Nutr 2020; 74:1594-1602. [PMID: 32253376 DOI: 10.1038/s41430-020-0620-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 03/19/2020] [Accepted: 03/19/2020] [Indexed: 11/09/2022]
Abstract
BACKGROUND/OBJECTIVES To examine the association between various carbohydrate quality indicators and nutrient adequacy in Australian adults. SUBJECTS/METHODS Dietary data from adult participants of the 2011-2012 Australian Health Survey (weighted n = 6150) who had completed two 24 h recalls were analyzed. Glycaemic indices (GI) of foods were estimated based on a published method. Quartiles of dietary GI (dGI) and glycaemic load (dGL), and intakes of high (CHOhighGI) and low-GI carbohydrates (CHOlowGI) were derived. Estimated marginal means and standard errors of nutrient and food group intakes by quartiles were calculated using ANCOVA. Odds ratios of not meeting the nutrient reference values for Australia and New Zealand (NRVs) by quartiles of the carbohydrate quality indicators were calculated by logistic regression. Analyses were adjusted for known confounders. RESULTS Participants with higher CHOhighGI had lower intakes of the majority of nutrients examined, except sodium and %energy from free sugars. They were also more than 100% more likely to not meet the NRVs of vitamin A (2.19, 95% CI 1.89, 2.84), vitamin C (3.93, 95% CI: 1.61, 9.60), vitamin E (2.63, 95% CI: 2.08, 3.31), iron (2.27, 95% CI: 1.48, 3.49), magnesium (2.50, 95% CI: 2.01, 3.12), potassium (2.25, 95% CI: 1.79, 2.83), %EFS (2.74, 95% CI: 2.22, 3.38), and LCn3PUFA (2.35, 95% CI: 1.76, 3.16). Similar results were observed for dGI and dGL, while trends for CHOlowGI were in opposite direction in general. CONCLUSIONS Of the carbohydrate quality indicators examined, CHOhighGI was the strongest predictor of nutrient adequacy. Improvement in nutrient adequacy likely contributed to the health protective effect of a low-GI diet.
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Cano-Ibáñez N, Gea A, Ruiz-Canela M, Corella D, Salas-Salvadó J, Schröder H, Navarrete-Muñoz EM, Romaguera D, Martínez JA, Barón-López FJ, López-Miranda J, Estruch R, Riquelme-Gallego B, Alonso-Gómez Á, Tur JA, Tinahones FJ, Serra-Majem L, Martín V, Lapetra J, Vázquez C, Pintó X, Vidal J, Daimiel L, Gaforio JJ, Matía P, Ros E, Fernández-Carrión R, Díaz-López A, Zomeño MD, Candela I, Konieczna J, Abete I, Buil-Cosiales P, Basora J, Fitó M, Martínez-González MA, Bueno-Cavanillas A. Diet quality and nutrient density in subjects with metabolic syndrome: Influence of socioeconomic status and lifestyle factors. A cross-sectional assessment in the PREDIMED-Plus study. Clin Nutr 2020; 39:1161-1173. [PMID: 31101439 DOI: 10.1016/j.clnu.2019.04.032] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 04/23/2019] [Accepted: 04/24/2019] [Indexed: 02/05/2023]
Abstract
BACKGROUND Socioeconomic disparities and lifestyle factors are likely to determine the overall quality of the diet. In addition, overeating is compatible with inadequate micronutrient intake and it can lead to adverse health outcomes. OBJECTIVE To assess adequacy of dietary nutrient intake and to investigate the influence of socioeconomic and lifestyle factors on nutrient density in a large primary cardiovascular prevention trial conducted in healthy participants with metabolic syndrome (MetS) to assess the cardiovascular effects of an energy-restricted Mediterranean diet (PREDIMED-Plus). METHODS Baseline cross-sectional analysis of the PREDIMED-Plus trial with 6646 Spanish participants (aged 55-75 years in men and 60-75 years in women) with overweight/obesity and MetS. Energy and nutrient intake (for 10 nutrients) were calculated using a validated 143-item Food Frequency Questionnaire (FFQ) and nutrient density was estimated dividing the absolute nutrient intake by total energy intake. The prevalence of inadequate intake was estimated according to dietary reference intakes. Multivariable linear regression models were fitted to examine associations between socioeconomic status or lifestyle factors and nutrient density. RESULTS A considerable proportion of the screened participants showed a deficient intake of vitamins A, D, E, B9, calcium, magnesium and dietary fibre. Inadequate intake of four or more of the ten nutrients considered was present in 17% of participants. A higher nutrient density was directly and significantly associated with female sex, higher educational level and a better adherence to the Mediterranean diet. Lifestyle factors such as non-smoking and avoidance of sedentary lifestyles were also independently associated with better nutrient density. CONCLUSIONS Patients with MetS, despite being overweight, exhibited suboptimal nutrient intake, especially among men. Low nutrient density diet can be largely explained by differences in socioeconomic and lifestyle factors. These results highlight the importance of focussing on nutritional education in vulnerable populations, taking into account nutrient requirements.
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Affiliation(s)
- Naomi Cano-Ibáñez
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; CIBER de Epidemiología y Salud Pública(CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Instituto de Investigación Biosanitaria de Granada, IBS GRANADA, Granada, Spain.
| | - Alfredo Gea
- Department of Preventive Medicine and Public Health, Medical School, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdisNa), Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, Medical School, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdisNa), Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Department de Bioquímica I Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain
| | - Helmut Schröder
- CIBER de Epidemiología y Salud Pública(CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Eva Ma Navarrete-Muñoz
- CIBER de Epidemiología y Salud Pública(CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Nutritional Epidemiology Unit, Miguel Hernández University, ISABIAL-FISABIO, Alicante, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - J Alfredo Martínez
- Navarra Institute for Health Research (IdisNa), Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - F Javier Barón-López
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Public Health, University of Málaga-IBIMA, Málaga, Spain
| | - José López-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
| | - Ramón Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | | | - Ángel Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Josep A Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Francisco J Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - Lluis Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Vicente Martín
- CIBER de Epidemiología y Salud Pública(CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Clotilde Vázquez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Spain
| | - Josep Vidal
- Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, Barcelona, Spain; CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - José Juan Gaforio
- CIBER de Epidemiología y Salud Pública(CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Centro de Estudios Avanzados en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, Barcelona, Spain
| | - Rebeca Fernández-Carrión
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Andrés Díaz-López
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Department de Bioquímica I Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain
| | - M Dolors Zomeño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain; Human Nutrition Unit, Blanquerna-Ramon Llull University, Barcelona, Spain
| | - Inmaculada Candela
- CIBER de Epidemiología y Salud Pública(CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Nutritional Epidemiology Unit, Miguel Hernández University, ISABIAL-FISABIO, Alicante, Spain
| | - Jadwiga Konieczna
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Itziar Abete
- Navarra Institute for Health Research (IdisNa), Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Pilar Buil-Cosiales
- Department of Preventive Medicine and Public Health, Medical School, University of Navarra, Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Atención Primaria, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - Josep Basora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Department de Bioquímica I Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Miguel A Martínez-González
- Department of Preventive Medicine and Public Health, Medical School, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdisNa), Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Harvard TH Chan School of Public Health, Department of Nutrition, Boston, USA
| | - Aurora Bueno-Cavanillas
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; CIBER de Epidemiología y Salud Pública(CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Instituto de Investigación Biosanitaria de Granada, IBS GRANADA, Granada, Spain
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Bibiloni MDM, Bouzas C, Abbate M, Martínez-González MA, Corella D, Salas-Salvadó J, Zomeño MD, Vioque J, Romaguera D, Martínez JA, Wärnberg J, López-Miranda J, Estruch R, Bueno-Cavanillas A, Alonso-Gómez Á, Tinahones F, Serra-Majem L, Martín V, Lapetra J, Vázquez C, Pintó X, Vidal J, Daimiel L, Delgado-Rodríguez M, Matía P, Ros E, Fernández-Carrión R, Garcia-Rios A, Zulet MA, Asensio A, Schröder H, Fitó M, Becerra-Tomás N, Basora J, Cenoz JC, Diez-Espino J, Toledo E, Tur JA. Nutrient adequacy and diet quality in a Mediterranean population with metabolic syndrome: A cross-sectional study. Clin Nutr 2020; 39:853-861. [PMID: 30952534 DOI: 10.1016/j.clnu.2019.03.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2018] [Revised: 02/08/2019] [Accepted: 03/14/2019] [Indexed: 01/05/2023]
Abstract
BACKGROUND & AIMS Few studies have compared micronutrient intake and fulfilment of average requirements (EAR) in non-diabetic, pre-diabetic and diabetic adults at high cardiovascular risk. We assessed these variables in a large sample of participants in the PREDIMED-PLUS randomized trial of primary cardiovascular prevention with diet and physical activity. DESIGN Baseline assessment of nutritional adequacy in n = 5792 men and women, aged 55-75 years, with overweight/obesity and some metabolic syndrome features. METHODS Participants were categorised as non-diabetic (n = 2390), pre-diabetic (n = 1322) or diabetic (n = 2080) by standard criteria. Food and nutrient intake were assessed using a validated food frequency questionnaire. Micronutrients examined were vitamins B1, B2, B3, B6, B12, A, C, D, E and folic acid; Ca, K, P, Mg, Fe, Se, Cr, Zn, and iodine. The proportion of micronutrient inadequacy was evaluated using the EAR or adequate intake (AI) cut-offs. Diet quality was also determined using a 17-item energy-restricted Mediterranean diet (MedDiet) questionnaire. RESULTS Compared to non-diabetic participants, those with pre-diabetes had lower intakes of total carbohydrates (CHO) and higher intakes of total fat and saturated fatty acids (SFA) and were more likely to be below EAR for folic, while diabetic participants had lower intakes of total CHO and higher intakes of protein, total fat, monounsaturated fatty acids, SFA and cholesterol and were less likely to be below EAR for vitamins B2, and B6, Ca, Zn and iodine. Diabetic participants disclosed higher adherence to the MedDiet than the other two groups. CONCLUSIONS Older Mediterranean individuals with metabolic syndrome and diabetes had better nutrient adequacy and adherence to the MedDiet than those with pre-diabetes or no diabetes.
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Affiliation(s)
- Maria Del Mar Bibiloni
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Manuela Abbate
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Miguel A Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, Reus, Spain
| | - M Dolors Zomeño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain; Human Nutrition Unit, Blanquerna-Ramon Llull University, Barcelona, Spain
| | - Jesús Vioque
- Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - José López-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Spain
| | - Ramón Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Aurora Bueno-Cavanillas
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spain; Department of Preventive Medicine, University of Granada, Granada, Spain
| | - Ángel Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Francisco Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, Málaga, Spain
| | - Lluis Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Institute for Biomedical Research, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Vicente Martín
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spain; Institute of Biomedicine (IBIOMED), University of León, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Clotilde Vázquez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; CIBER Diabetes y enfermedades metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Spain
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Miguel Delgado-Rodríguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spain; Department of Health Sciences, University of Jaen, Jaen, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Rebeca Fernández-Carrión
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Antonio Garcia-Rios
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Spain
| | - M Angeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Alberto Asensio
- Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
| | - Nerea Becerra-Tomás
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, Reus, Spain
| | - Josep Basora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, Reus, Spain
| | - Juan Carlos Cenoz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Javier Diez-Espino
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Estefanía Toledo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Josep A Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain.
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34
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Martínez-González MA, Fernandez-Lazaro CI, Toledo E, Díaz-López A, Corella D, Goday A, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Tinahones FJ, Lapetra J, Pintó X, Tur JA, López-Miranda J, Cano-Ibáñez N, Delgado-Rodríguez M, Matía-Martín P, Daimiel L, Sánchez VM, Vidal J, Vázquez C, Ros E, Buil-Cosiales P, Portoles O, Soria-Florido M, Konieczna J, Navarrete-Muñoz EM, Tojal-Sierra L, Fernández-García JC, Abete I, Henríquez-Sánchez P, Muñoz-Garach A, Santos-Lozano JM, Corbella E, Bibiloni MDM, Becerra-Tomás N, Barragán R, Castañer O, Fiol M, García de la Hera M, Belló-Mora MC, Gea A, Babio N, Fitó M, Ruiz-Canela M, Zazpe I, Salas-Salvadó J. Carbohydrate quality changes and concurrent changes in cardiovascular risk factors: a longitudinal analysis in the PREDIMED-Plus randomized trial. Am J Clin Nutr 2020; 111:291-306. [PMID: 31868210 DOI: 10.1093/ajcn/nqz298] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 11/08/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Overall quality of dietary carbohydrate intake rather than total carbohydrate intake may determine the risk of cardiovascular disease (CVD). OBJECTIVE We examined 6- and 12-mo changes in carbohydrate quality index (CQI) and concurrent changes in several CVD risk factors in a multicenter, randomized, primary-prevention trial (PREDIMED-Plus) based on an intensive weight-loss lifestyle intervention program. METHODS Prospective analysis of 5373 overweight/obese Spanish adults (aged 55-75 y) with metabolic syndrome (MetS). Dietary intake information obtained from a validated 143-item semiquantitative food-frequency questionnaire was used to calculate 6- and 12-mo changes in CQI (categorized in quintiles), based on 4 criteria (total dietary fiber intake, glycemic index, whole grain/total grain ratio, and solid carbohydrate/total carbohydrate ratio). The outcomes were changes in intermediate markers of CVD. RESULTS During the 12-mo follow-up, the majority of participants improved their CQI by increasing their consumption of fruits, vegetables, legumes, fish, and nuts and decreasing their consumption of refined cereals, added sugars, and sugar-sweetened beverages. After 6 mo, body weight, waist circumference (WC), systolic and diastolic blood pressure (BP), fasting blood glucose, glycated hemoglobin (HbA1c), triglyceride levels, triglycerides and glucose (TyG) index, and TyG-WC decreased across successive quintiles of improvement in the CQI. After 12 mo, improvements were additionally observed for HDL cholesterol and for the ratio of total to HDL cholesterol. Favorable improvements (expressed in common units of SD and 95% CI) for quintile 5 compared with quintile 1 of CQI change were observed for most risk factors, including TyG-WC (SD -0.20; 95% CI -0.26, -0.15), HbA1c (SD -0.16; 95% CI -0.23, -0.10), weight (SD -0.12; 95% CI -0.14, -0.09), systolic BP (SD -0.11; 95% CI -0.19, -0.02) and diastolic BP (SD -0.11; 95% CI -0.19, -0.04). CONCLUSIONS Improvements in CQI were strongly associated with concurrent favorable CVD risk factor changes maintained over time in overweight/obese adults with MetS. This trial was registered as ISRCTN 89898870.
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Affiliation(s)
- Miguel A Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, IdiSNA, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Cesar I Fernandez-Lazaro
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, IdiSNA, Pamplona, Spain
| | - Estefanía Toledo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, IdiSNA, Pamplona, Spain
| | - Andrés Díaz-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili, Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Albert Goday
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica, Barcelona, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain
- Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga Institute of Biomedical Research in Málaga (IBIMA), Málaga, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Luís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Nutrition Research Group, Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, IBIMA, University of Málaga, Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Naomi Cano-Ibáñez
- CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Miguel Delgado-Rodríguez
- CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain
- Division of Preventive Medicine, University of Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Vicente Martín Sánchez
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica, Barcelona, Spain
- Institute of Biomedicine, University of León, León, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jiménez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, Madrid, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, IDIBAPS, Hospital Clínic, Barcelona, Spain
| | - Pilar Buil-Cosiales
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, IdiSNA, Pamplona, Spain
- Atención Primaria, Servicio Navarro de Salud, Pamplona, Navarra, Spain
| | - Olga Portoles
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - María Soria-Florido
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica, Barcelona, Spain
- Department of Nutrition, Food Sciences and Gastronomy, University of Barcelona, Barcelona, Spain
| | - Jadwiga Konieczna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Eva M Navarrete-Muñoz
- CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain
- Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - José C Fernández-García
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, IBIMA, University of Málaga, Málaga, Spain
| | - Itziar Abete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Patricia Henríquez-Sánchez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Nutrition Research Group, Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Araceli Muñoz-Garach
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, IBIMA, University of Málaga, Málaga, Spain
| | - José M Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Emili Corbella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona Spain
| | - Maria Del Mar Bibiloni
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Nerea Becerra-Tomás
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili, Reus, Spain
| | - Rocío Barragán
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica, Barcelona, Spain
| | - Miquel Fiol
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Manoli García de la Hera
- CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain
- Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain
| | - María C Belló-Mora
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Alfredo Gea
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, IdiSNA, Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili, Reus, Spain
| | - Montse Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica, Barcelona, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, IdiSNA, Pamplona, Spain
| | - Itziar Zazpe
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine, IdiSNA, Pamplona, Spain
- Department of Nutrition and Food Sciences and Physiology, School of Pharmacy and Nutrition, University of Navarra
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili, Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain
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Abstract
BACKGROUND Patients with heart failure (HF) and their family caregivers usually consume similar diets, but there is a lack of evidence about diet quality of patients with HF and their family caregivers. OBJECTIVE The specific aim of this study was to compare diet quality of patients with HF with that of their family caregivers. METHODS In this cross-sectional study, 40 patients with HF and their 40 family caregivers completed a VioScreen Food Frequency Questionnaire from which Healthy Eating Index-2010 (HEI) diet quality scores (consisting of the total HEI score and 12 component scores) were calculated. RESULTS None of the 40 patient-caregiver dyads had a high diet quality score (ie, total HEI > 80), whereas 21% of participants had poor diet scores (ie, total HEI ≤ 50). There were no differences in total HEI scores (58.5 vs 59.4, P = .58) or the 12 component scores of the HEI within dyad members. Mean scores of 6 of the 12 components (ie, total fruit, greens and beans, total protein foods, seafood and plant proteins, fatty acids, empty calories) for both members of the HF dyad were lower than the national average. Interestingly, scores for the sodium component were similarly low in patients and caregivers (4.1 vs 3.4, P = .24), indicating high sodium intake. CONCLUSION Both patients and caregivers consume poor-quality diets that are high in sodium. These findings suggest that nutrition interventions to improve diet quality for patients with HF need to be targeted at the family as a unit.
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Abstract
The Mediterranean diet (MedDiet), abundant in minimally processed plant-based foods, rich in monounsaturated fat from olive oil, but lower in saturated fat, meats, and dairy products, seems an ideal nutritional model for cardiovascular health. Methodological aspects of Mediterranean intervention trials, limitations in the quality of some meta-analyses, and other issues may have raised recent controversies. It remains unclear whether such limitations are important enough as to attenuate the postulated cardiovascular benefits of the MedDiet. We aimed to critically review current evidence on the role of the MedDiet in cardiovascular health. We systematically searched observational prospective cohorts and randomized controlled trials which explicitly reported to assess the effect of the MedDiet on hard cardiovascular end points. We critically assessed all the original cohorts and randomized controlled trials included in the 5 most comprehensive meta-analyses published between 2014 and 2018 and additional prospective studies not included in these meta-analyses, totaling 45 reports of prospective studies (including 4 randomized controlled trials and 32 independent observational cohorts). We addressed the existing controversies on methodology and other issues. Some departures from individual randomization in a subsample of the landmark Spanish trial (PREDIMED [Prevención con Dieta Mediterránea]) did not represent any clinically meaningful attenuation in the strength of its findings and the results of PREDIMED were robust in a wide range of sensitivity analyses. The criteria for causality were met and potential sources of controversies did not represent any reason to compromise the main findings of the available observational studies and randomized controlled trials. The available evidence is large, strong, and consistent. Better conformity with the traditional MedDiet is associated with better cardiovascular health outcomes, including clinically meaningful reductions in rates of coronary heart disease, ischemic stroke, and total cardiovascular disease.
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Affiliation(s)
- Miguel A Martínez-González
- From the Department of Preventive Medicine and Public Health, IdiSNA, Navarra Institute for Health Research, University of Navarra, Pamplona, Spain (M.A.M.-G., A.G., M.R.-C.).,CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Carlos III Institute of Health, Madrid, Spain (M.A.M.-G., A.G., M.R.-C.).,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (M.A.M.-G.)
| | - Alfredo Gea
- From the Department of Preventive Medicine and Public Health, IdiSNA, Navarra Institute for Health Research, University of Navarra, Pamplona, Spain (M.A.M.-G., A.G., M.R.-C.).,CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Carlos III Institute of Health, Madrid, Spain (M.A.M.-G., A.G., M.R.-C.)
| | - Miguel Ruiz-Canela
- From the Department of Preventive Medicine and Public Health, IdiSNA, Navarra Institute for Health Research, University of Navarra, Pamplona, Spain (M.A.M.-G., A.G., M.R.-C.).,CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Carlos III Institute of Health, Madrid, Spain (M.A.M.-G., A.G., M.R.-C.)
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Ojeda-Rodríguez A, Zazpe I, Alonso-Pedrero L, Zalba G, Guillen-Grima F, Martinez-Gonzalez MA, Marti A. Association between diet quality indexes and the risk of short telomeres in an elderly population of the SUN project. Clin Nutr 2019; 39:2487-2494. [PMID: 31767135 DOI: 10.1016/j.clnu.2019.11.003] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 10/28/2019] [Accepted: 11/04/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Shorter telomeres are associated with several age-related diseases, and lifestyle factors could influence this relationship. The aim of this study was to examine associations between salivary telomere length (TL) and diet quality using 5 evidence-based dietary indexes in an elderly (>55 years old) Spanish population of the SUN project (n = 886). METHOD TL was measured using the quantitative real-time polymerase chain reaction. Age-adjusted TL variable through residuals methods was used for all analysis. Diet quality was assessed by the Prime Diet Quality Score (PDQS), Fat Quality Index (FQI), Mediterranean Diet Adherence Screener (MEDAS), Dietary Approaches to Stop Hypertension (DASH) index and the Alternative Healthy Eating Index (AHEI-2010). RESULTS TL did differ according to sex, smoking status, and dyslipidemia in elderly subjects of the SUN study. In addition, subjects with dyslipidemia (compared to absence of dyslipidemia) had a significantly higher risk (27% vs. 18%, p = 0.015) of short telomeres (<percentile 20th). Interestingly, a lower risk of having short telomeres was observed among participants in the top tertiles of the following diet quality score PDQS, MEDAS and DASH compared to the bottom tertiles in crude and adjusted models. Moreover, FQI and AHEI-2010 scores showed an inverse association with the risk of having short telomeres after adjustment for potential confounders (model adjusted for dyslipidemia interaction, p for trend = 0.025 and 0.021, respectively; and model additionally adjusted for sex and smoking status, p for trend = 0.033 and 0.029, respectively). CONCLUSION Adherence to high quality diet is associated to longer salivary TL in our elderly Spanish population of the SUN study.
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Affiliation(s)
- Ana Ojeda-Rodríguez
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, C/ Irunlarrea, 1, 31008, Pamplona, Spain; IdiSNA, Navarre's Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain.
| | - Itziar Zazpe
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, C/ Irunlarrea, 1, 31008, Pamplona, Spain; IdiSNA, Navarre's Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain; Department of Preventive Medicine and Public Health, School of Medicine-Clínica Universidad de Navarra, University of Navarra, C/ Irunlarrea, 1, 31008, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain.
| | - Lucía Alonso-Pedrero
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, C/ Irunlarrea, 1, 31008, Pamplona, Spain; IdiSNA, Navarre's Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain.
| | - Guillermo Zalba
- IdiSNA, Navarre's Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain; Department of Biochemistry and Genetics, University of Navarra, C/ Irunlarrea, 1, 31008, Pamplona, Spain.
| | - Francisco Guillen-Grima
- IdiSNA, Navarre's Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain; Department of Health Sciences, Public University of Navarre, Avenida de Barañain, 31008, Pamplona, Spain; Department of Preventive Medicine, University of Navarra Clinic, C/Pío XII, 36, 31008, Pamplona, Spain.
| | - Miguel A Martinez-Gonzalez
- IdiSNA, Navarre's Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain; Department of Preventive Medicine and Public Health, School of Medicine-Clínica Universidad de Navarra, University of Navarra, C/ Irunlarrea, 1, 31008, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; Department of Nutrition, Harvard TH Chan School of Public Health, Boston, USA.
| | - Amelia Marti
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, C/ Irunlarrea, 1, 31008, Pamplona, Spain; IdiSNA, Navarre's Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain.
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Sayón-Orea C, Razquin C, Bulló M, Corella D, Fitó M, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Tinahones FJ, Lapetra J, Pintó X, Tur JA, López-Miranda J, Bueno-Cavanillas A, Delgado-Rodríguez M, Matía-Martín P, Daimiel L, Sánchez VM, Vidal J, Vázquez C, Ros E, Ruiz-Canela M, Sorlí JV, Castañer O, Fiol M, Navarrete-Muñoz EM, Arós F, Gómez-Gracia E, Zulet MA, Sánchez-Villegas A, Casas R, Bernal-López R, Santos-Lozano JM, Corbella E, Bouzas C, García-Arellano A, Basora J, Asensio EM, Schröder H, Moñino M, García de la Hera M, Tojal-Sierra L, Toledo E, Díaz-López A, Goday A, Salas-Salvadó J, Martínez-González MA. Effect of a Nutritional and Behavioral Intervention on Energy-Reduced Mediterranean Diet Adherence Among Patients With Metabolic Syndrome: Interim Analysis of the PREDIMED-Plus Randomized Clinical Trial. JAMA 2019; 322:1486-1499. [PMID: 31613346 PMCID: PMC6802271 DOI: 10.1001/jama.2019.14630] [Citation(s) in RCA: 102] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 08/23/2019] [Indexed: 12/11/2022]
Abstract
IMPORTANCE High-quality dietary patterns may help prevent chronic disease, but limited data exist from randomized trials about the effects of nutritional and behavioral interventions on dietary changes. OBJECTIVE To assess the effect of a nutritional and physical activity education program on dietary quality. DESIGN, SETTING, AND PARTICIPANTS Preliminary exploratory interim analysis of an ongoing randomized trial. In 23 research centers in Spain, 6874 men and women aged 55 to 75 years with metabolic syndrome and no cardiovascular disease were enrolled in the trial between September 2013 and December 2016, with final data collection in March 2019. INTERVENTIONS Participants were randomized to an intervention group that encouraged an energy-reduced Mediterranean diet, promoted physical activity, and provided behavioral support (n = 3406) or to a control group that encouraged an energy-unrestricted Mediterranean diet (n = 3468). All participants received allotments of extra-virgin olive oil (1 L/mo) and nuts (125 g/mo) for free. MAIN OUTCOMES AND MEASURES The primary outcome was 12-month change in adherence based on the energy-reduced Mediterranean diet (er-MedDiet) score (range, 0-17; higher scores indicate greater adherence; minimal clinically important difference, 1 point). RESULTS Among 6874 randomized participants (mean [SD] age, 65.0 [4.9] years; 3406 [52%] men), 6583 (96%) completed the 12-month follow-up and were included in the main analysis. The mean (SD) er-MedDiet score was 8.5 (2.6) at baseline and 13.2 (2.7) at 12 months in the intervention group (increase, 4.7 [95% CI, 4.6-4.8]) and 8.6 (2.7) at baseline and 11.1 (2.8) at 12 months in the control group (increase, 2.5 [95% CI, 2.3-2.6]) (between-group difference, 2.2 [95% CI, 2.1-2.4]; P < .001). CONCLUSIONS AND RELEVANCE In this preliminary analysis of an ongoing trial, an intervention that encouraged an energy-reduced Mediterranean diet and physical activity, compared with advice to follow an energy-unrestricted Mediterranean diet, resulted in a significantly greater increase in diet adherence after 12 months. Further evaluation of long-term cardiovascular effects is needed. TRIAL REGISTRATION isrctn.com Identifier: ISRCTN89898870.
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Affiliation(s)
- Carmen Sayón-Orea
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Cristina Razquin
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Mónica Bulló
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Jesús Vioque
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Ángel M. Alonso-Gómez
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - J. Alfredo Martínez
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Luís Serra-Majem
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Francisco J. Tinahones
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Josep A. Tur
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Aurora Bueno-Cavanillas
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Pilar Matía-Martín
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Vicente Martín Sánchez
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Josep Vidal
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - José V. Sorlí
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Olga Castañer
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Miquel Fiol
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Eva M. Navarrete-Muñoz
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Fernando Arós
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Enrique Gómez-Gracia
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - M. Angeles Zulet
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Rosa Casas
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Rosa Bernal-López
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - José M. Santos-Lozano
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Emili Corbella
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Cristina Bouzas
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Ana García-Arellano
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Josep Basora
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Eva M. Asensio
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Helmut Schröder
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Manuel Moñino
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Estefanía Toledo
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Andrés Díaz-López
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Albert Goday
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red (CIBER), Instituto de Salud Carlos III, Madrid, Spain
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Julibert A, Bibiloni MDM, Mateos D, Angullo E, Tur JA. Dietary Fat Intake and Metabolic Syndrome in Older Adults. Nutrients 2019; 11:E1901. [PMID: 31416272 PMCID: PMC6723812 DOI: 10.3390/nu11081901] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 08/09/2019] [Accepted: 08/12/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Metabolic Syndrome (MetS) is associated with higher rates of cardiovascular disease (CVD), type 2 diabetes mellitus, and cancer worldwide. OBJECTIVE To assess fat intake in older adults with or without MetS. DESIGN Cross-sectional nutritional survey in older adults living in the Balearic Islands (n = 477, 48% women, 55-80 years old) with no previous CVD. METHODS Assessment of fat (total fat, MUFA, PUFA, SFA, TFA, linoleic acid, α-linolenic acid, marine and non-marine ω-3 FA, animal fat and vegetable fat, cholesterol) and macronutrient intake using a validated food frequency questionnaire, and its comparison with recommendations of the US Institute of Medicine (IOM) and the Spanish Society of Community Nutrition (SENC). RESULTS Participants with MetS showed higher BMI, lower physical activity, higher total fat and MUFA intake, and lower intake of energy, carbohydrates, and fiber than participants without MetS. Men and women with MetS were below the Acceptable Macronutrient Distribution Range (AMDR) proposed by IOM for carbohydrates and above the AMDR for total fat and MUFAs, and women were below the AMDR proposed for α-linolenic acid (ALA) compared with participants without MetS. CONCLUSIONS Subjects with MetS were less likely to meet IOM and SENC recommendations for fat and macronutrient intakes as compared to non-MetS subjects.
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Affiliation(s)
- Alicia Julibert
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, IDISBA & CIBEROBN, 07122 Palma de Mallorca, Spain
| | - Maria Del Mar Bibiloni
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, IDISBA & CIBEROBN, 07122 Palma de Mallorca, Spain
| | - David Mateos
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, IDISBA & CIBEROBN, 07122 Palma de Mallorca, Spain
| | - Escarlata Angullo
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, IDISBA & CIBEROBN, 07122 Palma de Mallorca, Spain
- Escola Graduada Primary Health Care Center, IBSalut, 07001 Palma de Mallorca, Spain
| | - Josep A Tur
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, IDISBA & CIBEROBN, 07122 Palma de Mallorca, Spain.
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Gómez-Donoso C, Martínez-González MÁ, Martínez JA, Gea A, Sanz-Serrano J, Perez-Cueto FJA, Bes-Rastrollo M. A Provegetarian Food Pattern Emphasizing Preference for Healthy Plant-Derived Foods Reduces the Risk of Overweight/Obesity in the SUN Cohort. Nutrients 2019; 11:nu11071553. [PMID: 31324022 PMCID: PMC6683267 DOI: 10.3390/nu11071553] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 06/24/2019] [Accepted: 07/05/2019] [Indexed: 01/20/2023] Open
Abstract
Provegetarian diets (i.e., preference for plant-derived foods but not exclusion of animal foods) have been associated with a reduced risk of long-term weight gain and could be more easily embraced than strict vegetarian diets. However, not all plant-derived foods are equally healthy. In the “Seguimiento Universidad de Navarra” (SUN) cohort, we prospectively evaluated the association between different provegetarian food patterns and the incidence of overweight/obesity in 11,554 participants with initial body mass index <25 kg/m2. A provegetarian food pattern (FP) was built by assigning positive scores to plant foods and reverse scores to animal foods. A healthful and an unhealthful provegetarian FP, which distinguished between healthy (fruits/vegetables/whole grains/nuts/legumes/olive oil/coffee) and less-healthy plant foods (fruit juices/potatoes/refined grains/pastries/sugary beverages), were also built. A total of 2320 new cases of overweight or obesity were identified after a median follow-up of 10.3 years. Higher baseline conformity with the overall provegetarian FP was inversely associated with overweight/obesity (HR comparing extreme quintiles: 0.85; 95% CI: 0.75 to 0.96; p-trend: 0.014). This association was stronger for the healthful FP (HR: 0.78; 95% CI: 0.67 to 0.90; p-trend: <0.001) and was not apparent for the unhealthful FP (HR: 1.07; 95% CI: 0.92 to 1.23; p-trend: 0.551). In a large prospective cohort of relatively young adults, better conformity with a healthy provegetarian diet was associated with a reduced long-term risk of overweight/obesity, whereas no consistent trend was found for a FP that emphasized less-healthy plant foods.
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Affiliation(s)
- Clara Gómez-Donoso
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain
- Biomedical Research Centre Network of Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, 28029 Madrid, Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain
- Biomedical Research Centre Network of Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, 28029 Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | - J Alfredo Martínez
- Biomedical Research Centre Network of Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, 28029 Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
- Department of Nutrition, Food Sciences and Physiology, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain
| | - Alfredo Gea
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain
- Biomedical Research Centre Network of Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, 28029 Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Julen Sanz-Serrano
- Department of Pharmacology and Toxicology, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain
| | - Federico J A Perez-Cueto
- Food Design and Consumer Behavior Section, Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain.
- Biomedical Research Centre Network of Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, 28029 Madrid, Spain.
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain.
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41
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Serra-Majem L, Román-Viñas B, Sanchez-Villegas A, Guasch-Ferré M, Corella D, La Vecchia C. Benefits of the Mediterranean diet: Epidemiological and molecular aspects. Mol Aspects Med 2019; 67:1-55. [PMID: 31254553 DOI: 10.1016/j.mam.2019.06.001] [Citation(s) in RCA: 128] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 06/03/2019] [Accepted: 06/04/2019] [Indexed: 01/16/2023]
Abstract
More than 50 years after the Seven Countries Study, a large number of epidemiological studies have explored the relationship between the Mediterranean diet (MD) and health, through observational, case-control, some longitudinal and a few experimental studies. The overall results show strong evidence suggesting a protective effect of the MD mainly on the risk of cardiovascular disease (CVD) and certain types of cancer. The beneficial effects have been attributed to the types of food consumed, total dietary pattern, components in the food, cooking techniques, eating behaviors and lifestyle behaviors, among others. The aim of this article is to review and summarize the knowledge derived from the literature focusing on the benefits of the MD on health, including those that have been extensively investigated (CVD, cancer) along with more recent issues such as mental health, immunity, quality of life, etc. The review begins with a brief description of the MD and its components. Then we present a review of studies evaluating metabolic biomarkers and genotypes in relation to the MD. Other sections are dedicated to observation and intervention studies for various pathologies. Finally, some insights into the relationship between the MD and sustainability are explored. In conclusion, the research undertaken on metabolomics approaches has identified potential markers for certain MD components and patterns, but more investigation is needed to obtain valid measures. Further evaluation of gene-MD interactions are also required to better understand the mechanisms by which the MD diet exerts its beneficial effects on health. Observation and intervention studies, particularly PREDIMED, have provided invaluable data on the benefits of the MD for a wide range of chronic diseases. However further research is needed to explore the effects of other lifestyle components associated with Mediterranean populations, its environmental impact, as well as the MD extrapolation to non-Mediterranean contexts.
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Affiliation(s)
- Lluis Serra-Majem
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Nutrition Research Foundation, University of Barcelona Science Park, Barcelona, Spain.
| | - Blanca Román-Viñas
- Nutrition Research Foundation, University of Barcelona Science Park, Barcelona, Spain; School of Health and Sport Sciences (EUSES), Universitat de Girona, Salt, Spain; Department of Physical Activity and Sport Sciences, Blanquerna, Universitat Ramon Llull, Barcelona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Almudena Sanchez-Villegas
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H.Chan School of Public Health, Boston, MA, USA; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Dolores Corella
- Genetic and Molecular Epidemiology Unit. Department of Preventive Medicine. University of Valencia, Valencia, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20133, Milan, Italy
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42
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Julibert A, Bibiloni MDM, Bouzas C, Martínez-González MÁ, Salas-Salvadó J, Corella D, Zomeño MD, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Tinahones FJ, Lapetra J, Pintó X, Lopez-Miranda J, García-Molina L, Gaforio JJ, Matía-Martín P, Daimiel L, Martín-Sánchez V, Vidal J, Vázquez C, Ros E, Toledo E, Becerra-Tomás N, Pórtoles O, Pérez-Vega KA, Fiol M, Torres-Collado L, Tojal-Sierra L, Carabaño-Moral R, Abete I, Sanchez-Villegas A, Casas R, Bernal-López MR, Santos-Lozano JM, Galera A, Ugarriza L, Ruiz-Canela M, Babio N, Coltell O, Schröder H, Konieczna J, Orozco-Beltrán D, Sorto-Sánchez C, Eguaras S, Barrubés L, Fitó M, Tur JA. Total and Subtypes of Dietary Fat Intake and Its Association with Components of the Metabolic Syndrome in a Mediterranean Population at High Cardiovascular Risk. Nutrients 2019; 11:1493. [PMID: 31261967 PMCID: PMC6682917 DOI: 10.3390/nu11071493] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 06/23/2019] [Accepted: 06/27/2019] [Indexed: 12/22/2022] Open
Abstract
Background: The effect of dietary fat intake on the metabolic syndrome (MetS) and in turn on cardiovascular disease (CVD) remains unclear in individuals at high CVD risk. Objective: To assess the association between fat intake and MetS components in an adult Mediterranean population at high CVD risk. Design: Baseline assessment of nutritional adequacy in participants (n = 6560, men and women, 55-75 years old, with overweight/obesity and MetS) in the PREvención con DIeta MEDiterránea (PREDIMED)-Plus randomized trial. Methods: Assessment of fat intake (total fat, monounsatured fatty acids: MUFA, polyunsaturated fatty acids: PUFA, saturated fatty acids: SFA, trans-fatty acids: trans-FA, linoleic acid, α-linolenic acid, and ω-3 FA) using a validated food frequency questionnaire, and diet quality using 17-item Mediterranean dietary questionnaire and fat quality index (FQI). Results: Participants in the highest quintile of total dietary fat intake showed lower intake of energy, carbohydrates, protein and fiber, but higher intake of PUFA, MUFA, SFA, TFA, LA, ALA and ω-3 FA. Differences in MetS components were found according to fat intake. Odds (5th vs. 1st quintile): hyperglycemia: 1.3-1.6 times higher for total fat, MUFA, SFA and ω-3 FA intake; low high-density lipoprotein cholesterol (HDL-c): 1.2 higher for LA; hypertriglyceridemia: 0.7 lower for SFA and ω-3 FA intake. Conclusions: Dietary fats played different role on MetS components of high CVD risk patients. Dietary fat intake was associated with higher risk of hyperglycemia.
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Grants
- PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI16/00473, PI16/00662, PI16/01873, PI1 Instituto de Salud Carlos III
- CIBEROBN Instituto de Salud Carlos III
- Advanced Research Grant 2013-2018; 340918 European Research Council
- 2013ACUP00194 Recercaixa
- PI0458/2013; PS0358/2016; PI0137/2018 Consejería de Salud de la Junta de Andalucía
- PROMETEO/2017/017 Generalitat Valenciana
- no ref. SEMERGEN grant
- no ref. FEDER funds
- 201302 ISCIII. International Nut & Dried Fruit Council - FESNAD
- 35/2011 Balearic Islands Gov
- CA16112 European Cooperation in Science and Technology
- 201630.10 Fundació La Marató TV3
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Affiliation(s)
- Alicia Julibert
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Maria Del Mar Bibiloni
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Maria Dolors Zomeño
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Jesús Vioque
- Miguel Hernández University, ISABIAL-FISABIO, 46020 Alicante, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Ángel M Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071 Málaga, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
- Cardiometabolics Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Luís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Francisco J Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, 29010 Málaga, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - José Lopez-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Laura García-Molina
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Preventive Medicine, University of Granada, 18071 Granada, Spain
| | - José Juan Gaforio
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Health Sciences, University of Jaen, 23071 Jaen, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Vicente Martín-Sánchez
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Clotilde Vázquez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Endocrinology, Fundación Jiménez-Díaz, 28040 Madrid, Spain
| | - Emili Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Estefanía Toledo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
| | - Nerea Becerra-Tomás
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Olga Pórtoles
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Karla A Pérez-Vega
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Miquel Fiol
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Laura Torres-Collado
- Miguel Hernández University, ISABIAL-FISABIO, 46020 Alicante, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Lucas Tojal-Sierra
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
- Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Rosa Carabaño-Moral
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Unidad de Gestión Clínica de Arroyo de la Miel. Distrito de Atención Primaria Costa del Sol, Servicio Andaluz de Salud, 29630 Benalmádena, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Almudena Sanchez-Villegas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
| | - Rosa Casas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - María Rosa Bernal-López
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, 29010 Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Ana Galera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Lucía Ugarriza
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Miguel Ruiz-Canela
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
| | - Nancy Babio
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Oscar Coltell
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Computer Languages and Systems. Universitat Jaume I, 12071 Castellon, Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Jadwiga Konieczna
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Domingo Orozco-Beltrán
- Miguel Hernández University, ISABIAL-FISABIO, 46020 Alicante, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Carolina Sorto-Sánchez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Sonia Eguaras
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
| | - Laura Barrubés
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Josep A Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain.
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain.
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43
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Massoud R, Khosravi-Darani K, Bagheri SM, Mortazavian AM, Sohrabvandi S. Vitamin B12: From Deficiency to Biotechnological Solution. CURRENT NUTRITION & FOOD SCIENCE 2019. [DOI: 10.2174/1573401314666171207145429] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Vitamin B12 production by using propionibacteria and enriching food to produce functional foods is an important subject for researches. Some microorganisms have the potential to produce a wide range of components that are health promoting for human. Among them Propionibacteria has been identified as an effective producer of vitamin B12 and anti-microbial compounds such as propionic acid for decades. In this study at first, the structure, health beneficial effects and properties of vitamin B12 as well as scaled up production of vitamin are mentioned. Then biotechnological strategy is described as a solution to overcome vitamin deficiency and production of functional food. Finally, the specification of propionibacteria and its growth condition as well as bacterium ability to produce some other interesting metabolite in human food as byproduct are discussed.
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Affiliation(s)
- Ramona Massoud
- Department of Food Research, Standards Organization, Tehran, Iran
| | - Kianoush Khosravi-Darani
- Research Department of Food Technology, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, P.O. Box: 19395-4741, Tehran, Iran
| | - Seyed M.H. Bagheri
- Department of Food Sciences and Technology, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amir M. Mortazavian
- Department of Food Sciences and Technology, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sara Sohrabvandi
- Research Department of Food Technology, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, P.O. Box: 19395-4741, Tehran, Iran
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44
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Bibiloni MDM, Julibert A, Bouzas C, Martínez-González MA, Corella D, Salas-Salvadó J, Zomeño MD, Vioque J, Romaguera D, Martínez JA, Wärnberg J, López-Miranda J, Estruch R, Bueno-Cavanillas A, Arós F, Tinahones F, Serra-Majem L, Martín V, Lapetra J, Vázquez C, Pintó X, Vidal J, Daimiel L, Delgado-Rodríguez M, Matía P, Ros E, Fernández-Carrión R, Garcia-Rios A, Zulet MA, Orozco-Beltrán D, Schröder H, Fitó M, Bulló M, Basora J, Cenoz JC, Diez-Espino J, Toledo E, Tur JA. Nut Consumptions as a Marker of Higher Diet Quality in a Mediterranean Population at High Cardiovascular Risk. Nutrients 2019; 11:754. [PMID: 30935087 PMCID: PMC6521169 DOI: 10.3390/nu11040754] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 03/20/2019] [Accepted: 03/28/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Nut consumption has been associated with improved nutrient adequacy and diet quality in healthy adult populations but this association has never been explored in individuals at high cardiovascular risk. OBJECTIVE to assess the associations between consumption of nuts and nutrient adequacy and diet quality in a Mediterranean population at high cardiovascular risk. DESIGN baseline assessment of nutritional adequacy in participants (n = 6060, men and women, with ages 55⁻75 years old, with overweight/obesity and metabolic syndrome) in the PREDIMED-PLUS primary cardiovascular prevention randomized trial. METHODS nut intake was assessed using a validated food frequency questionnaire. Participants who reported consuming zero quantity of nuts were classified as 'non-nut consumers'. 'Nut consumers' were participants who reported consuming any quantity of nuts. Nineteen micronutrients were examined (vitamins B1, B2, B3, B6, B12, A, C, D, E and folic acid; Ca, K, P, Mg, Fe, Se, Cr, Zn, and iodine). The proportion of micronutrient inadequacy was estimated using the estimated average requirements (EAR) or adequate intake (AI) cut-points. Diet quality was also assessed using a 17-item Mediterranean dietary questionnaire (Mediterranean diet score, MDS), a carbohydrate quality index (CQI) and a fat quality index (FQI). RESULTS eighty-two percent of participants were nut consumers (median of nut consumption 12.6 g/day; interquartile range: 6.0⁻25.2). Nut consumers were less likely to be below the EAR for vitamins A, B1, B2, B6, C, D, E, folic acid, and Ca, Mg, Se and Zn than non-nut consumers. Nut consumers were also more likely to be above the AI for K and Cr than non-nut consumers. Nut consumers had lower prevalence of inadequate micronutrient intakes, but also higher CQI, higher FQI, and better scores of adherence to the Mediterranean diet (Mediterranean diet score, MDS). CONCLUSIONS nut consumers had better nutrient adequacy, diet quality, and adherence to the MedDiet than those non-nut consumers.
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Grants
- PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI16/00473, PI16/00662, PI16/01873, PI1 Instituto de Salud Carlos III
- CIBEROBN and FEDER funds (CB06/03) Instituto de Salud Carlos III
- Advanced Research Grant 2013-2018; 340918 European Research Council
- 2013ACUP00194 Recercaixa
- PI0458/2013; PS0358/2016 Consejería de Salud de la Junta de Andalucía
- PROMETEO/2017/017 Generalitat Valenciana
- grant SEMERGEN
- 35/2011 Balearic Islands Gov.; FEDER funds
- Action CA16112 COST
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Affiliation(s)
- Maria Del Mar Bibiloni
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain.
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain.
| | - Alicia Julibert
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain.
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain.
| | - Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain.
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain.
| | - Miguel A Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, University of Navarra-IDISNA, 31008 Pamplona, Spain.
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain.
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43201 Reus, Spain.
| | - M Dolors Zomeño
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain.
- Human Nutrition Unit, Blanquerna-Ramon Llull University, 08022 Barcelona, Spain.
| | - Jesús Vioque
- Miguel Hernandez University, ISABIAL-FISABIO, 46020 Alicante, Spain.
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain.
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain.
- Cardiometabolics Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain.
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- School of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29010 Málaga, Spain.
| | - José López-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain.
| | - Ramón Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain.
| | - Aurora Bueno-Cavanillas
- Miguel Hernandez University, ISABIAL-FISABIO, 46020 Alicante, Spain.
- Department of Preventive Medicine, University of Granada, 18016 Granada, Spain.
| | - Fernando Arós
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country UPV/EHU, 01006 Vitoria-Gasteiz, Spain.
| | - Francisco Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Department of Endocrinology, Virgen de la Victoria Hospital, University of Málaga, 29010 Málaga, Spain.
| | - Lluis Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35001 Las Palmas, Spain.
| | - Vicente Martín
- Miguel Hernandez University, ISABIAL-FISABIO, 46020 Alicante, Spain.
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain.
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain.
| | - Clotilde Vázquez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Department of Endocrinology, Fundación Jiménez-Díaz, 28040 Madrid, Spain.
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain.
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain.
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain.
| | - Miguel Delgado-Rodríguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Department of Health Sciences, University of Jaen, 23071 Jaen, Spain.
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain.
| | - Rebeca Fernández-Carrión
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain.
| | - Antonio Garcia-Rios
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain.
| | - M Angeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain.
| | - Domingo Orozco-Beltrán
- Miguel Hernandez University, ISABIAL-FISABIO, 46020 Alicante, Spain.
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
| | - Helmut Schröder
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain.
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain.
| | - Mónica Bulló
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43201 Reus, Spain.
| | - Josep Basora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43201 Reus, Spain.
| | - Juan Carlos Cenoz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, University of Navarra-IDISNA, 31008 Pamplona, Spain.
| | - Javier Diez-Espino
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, University of Navarra-IDISNA, 31008 Pamplona, Spain.
| | - Estefanía Toledo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, University of Navarra-IDISNA, 31008 Pamplona, Spain.
| | - Josep A Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain.
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain.
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45
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Beulen Y, Martínez-González MA, van de Rest O, Salas-Salvadó J, Sorlí JV, Gómez-Gracia E, Fiol M, Estruch R, Santos-Lozano JM, Schröder H, Alonso-Gómez A, Serra-Majem L, Pintó X, Ros E, Becerra-Tomas N, González JI, Fitó M, Martínez JA, Gea A. Quality of Dietary Fat Intake and Body Weight and Obesity in a Mediterranean Population: Secondary Analyses within the PREDIMED Trial. Nutrients 2018; 10:2011. [PMID: 30572588 PMCID: PMC6315420 DOI: 10.3390/nu10122011] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 12/12/2018] [Accepted: 12/14/2018] [Indexed: 12/21/2022] Open
Abstract
A moderately high-fat Mediterranean diet does not promote weight gain. This study aimed to investigate the association between dietary intake of specific types of fat and obesity and body weight. A prospective cohort study was performed using data of 6942 participants in the PREDIMED trial, with yearly repeated validated food-frequency questionnaires, and anthropometric outcomes (median follow-up: 4.8 years). The effects of replacing dietary fat subtypes for one another, proteins or carbohydrates were estimated using generalized estimating equations substitution models. Replacement of 5% energy from saturated fatty acids (SFA) with monounsaturated fatty acids (MUFA) or polyunsaturated fatty acids (PUFA) resulted in weight changes of -0.38 kg (95% Confidece Iinterval (CI): -0.69, -0.07), and -0.51 kg (95% CI: -0.81, -0.20), respectively. Replacing proteins with MUFA or PUFA decreased the odds of becoming obese. Estimates for the daily substitution of one portion of red meat with white meat, oily fish or white fish showed weight changes up to -0.87 kg. Increasing the intake of unsaturated fatty acids at the expense of SFA, proteins, and carbohydrates showed beneficial effects on body weight and obesity. It may therefore be desirable to encourage high-quality fat diets like the Mediterranean diet instead of restricting total fat intake.
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Grants
- RTIC G03/140, RTIC RD 06/0045 Instituto de Salud Carlos III
- - CIBERobn
- CNIC 06/2007 Centro Nacional de Investigaciones Cardiovasculares
- PI04-2239, PI 05/2584, CP06/00100, PI07/0240, PI07/1138, PI07/0954, PI 07/0473, PI10/01407, PI10/02658, PI11/01647, P11/02505 Fondo de Investigación Sanitaria - Fondo Europeo de Desarrollo Regional
- AGL-2009-13906-C02, AGL2010-22319-C03 Ministerio de Ciencia e Innovación
- Fundación Mapfre 2010 Fundación Mapfre 2010
- PI0105/2007 Consejería de Salud de la Junta de Andalucía
- ACOMP06109, GVACOMP2010-181, GVACOMP2011-151, CS2010-AP-111, CS2011-AP-042, and PROMETEO17/2017 Public Health Division of the Department of Health of the Autonomous Government of Catalonia, Generalitat Valenciana
- P27/2011 Regional Government of Navarra
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Affiliation(s)
- Yvette Beulen
- Division of Human Nutrition, Wageningen University, 6708 Wageningen, The Netherlands.
| | - Miguel A Martínez-González
- Department of Preventive Medicine & Public Health, University of Navarra, 31008 Pamplona, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
| | - Ondine van de Rest
- Division of Human Nutrition, Wageningen University, 6708 Wageningen, The Netherlands.
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Pere Virgili Health Research Institute, Rovira i Virgili University, 43002 Reus, Spain.
| | - José V Sorlí
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain.
| | | | - Miquel Fiol
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
- Institute of Health Sciences IUNICS, University of Balearic Islands and Hospital Son Espases, 07010 Palma de Mallorca, Spain.
| | - Ramón Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
- Department of Internal Medicine, Department of Endocrinology and Nutrition Biomedical Research Institute August Pi Sunyer (IDI- BAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain.
| | - José M Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Centro de Salud Universitario San Pablo, 41013 Sevilla, Spain.
| | - Helmut Schröder
- Cardiovascular and Nutrition Research Group (Regicor Study Group), Hospital del Mar Research Institute (IMIM), 08003 Barcelona, Spain.
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
| | - Angel Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
- Department of Cardiology, University Hospital of Alava, 48940 Vitoria, Spain.
| | - Luis Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Service of Preventive Medicine, Complejo Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canary Health Service, 35016 Las Palmas de Gran Canaria, Spain.
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain.
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
- Lipid Clinic, Department of Endocrinology and Nutrition Biomedical Research Institute August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain.
| | - Nerea Becerra-Tomas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Pere Virgili Health Research Institute, Rovira i Virgili University, 43002 Reus, Spain.
| | - José I González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain.
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
- Cardiovascular and Nutrition Research Group (Regicor Study Group), Hospital del Mar Research Institute (IMIM), 08003 Barcelona, Spain.
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spanish Government, 28029 Madrid, Spain.
- Department of Nutrition and Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain.
| | - Alfredo Gea
- Department of Preventive Medicine & Public Health, University of Navarra, 31008 Pamplona, Spain.
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46
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Cano-Ibáñez N, Bueno-Cavanillas A, Martínez-González MA, Corella D, Salas-Salvadó J, Zomeño MD, García-de-la-Hera M, Romaguera D, Martínez JA, Barón-López FJ, García-Ríos A, Estruch R, García-Molina L, Alonso Gómez Á, Tur JA, Tinahones F, Serra-Majem L, Cubelos-Fernández N, Lapetra J, Vázquez C, Pintó X, Vidal J, Daimiel L, Gaforio JJ, Matía P, Ros E, Diez-Espino J, Fernández-Carrión R, Basora J, Fitó M, Zazo JM, Colom A, Toledo E, Díaz-López A, Muñoz MÁ, Ruiz-Canela M, Gea A. Dietary Intake in Population with Metabolic Syndrome: Is the Prevalence of Inadequate Intake Influenced by Geographical Area? Cross-Sectional Analysis from PREDIMED-Plus Study. Nutrients 2018; 10:1661. [PMID: 30400355 PMCID: PMC6266979 DOI: 10.3390/nu10111661] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 10/28/2018] [Accepted: 10/31/2018] [Indexed: 12/30/2022] Open
Abstract
Inadequate diet influences chronic diseases such as cardiovascular disease (CVD), the leading cause of death in Spain. CVD figures vary from one geographical region to another; this could be associated with different food choices. Our aim was to analyse the influence of geographical area on nutrient intakes among the Spanish adult population with Metabolic Syndrome (MetS). We analysed cross-sectional baseline data from the PREDIMED-Plus study: 6646 Spanish adults, aged 55⁻75 years, with overweight/obesity and MetS in four geographical areas. A validated 143-item Food Frequency Questionnaire (FFQ) was used to assess energy and nutrient intakes. The prevalence of inadequate nutrient intake was estimated according to Dietary Reference Intakes (DRIs). Multivariable-adjusted logistic regression was used to assess the relationship between geographical area (North, Central, East and South areas) and inadequate nutrient intake. People in the North area consumed significantly lower amounts of vegetables and fish but more sugar and alcohol (p < 0.001) than other areas. Dietary fibre, vitamin A, E, calcium and magnesium intakes were all lower among men of North area than in the other areas (p < 0.001). Sex (women), non-smoker and physical activity were also associated to adequate nutrient intake. Geographical area influences nutrient intakes. Its effect on dietary quality should be taken into account when planning food policies.
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Grants
- FPU14/03630 Ministerio de Educación, Cultura y Deporte
- PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14-00696, PI14/01206, PI14/01919, PI14/00853 Instituto de Salud Carlos III
- Advanced Research Grant 2013-2018; 340918 European Research Council
- 2013ACUP00194 Recercaixa
- PI0458/2013 Consejería de Salud, Junta de Andalucía
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Affiliation(s)
- Naomi Cano-Ibáñez
- Department of Preventive Medicine and Public Health, University of Granada, 18011 Granada, Spain.
- CIBER of Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, 28029 Madrid, Spain.
| | - Aurora Bueno-Cavanillas
- Department of Preventive Medicine and Public Health, University of Granada, 18011 Granada, Spain.
- CIBER of Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, 28029 Madrid, Spain.
| | - Miguel A Martínez-González
- Department of Preventive Medicine and Public Health, Medical School, University of Navarre, 31008 Pamplona, Spain.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
| | - Dolores Corella
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain.
| | - Jordi Salas-Salvadó
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43002 Reus, Spain.
| | - M Dolors Zomeño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), 08003 Barcelona, Spain.
- Human Nutrition Unit, Blanquerna-Ramon Llull University, 08001 Barcelona, Spain.
| | - Manoli García-de-la-Hera
- CIBER of Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, 28029 Madrid, Spain.
- Miguel Hernández University, ISABIAL-FISABIO, 03202 Alicante, Spain.
| | - Dora Romaguera
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain.
| | - J Alfredo Martínez
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Department of Nutrition, Food Sciences and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain.
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain.
| | - F Javier Barón-López
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Department of Public Health, University of Málaga-IBIMA, 29016 Málaga, Spain.
| | - Antonio García-Ríos
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, 14004 Córdoba, Spain.
| | - Ramón Estruch
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain.
| | - Laura García-Molina
- Department of Preventive Medicine and Public Health, University of Granada, 18011 Granada, Spain.
- CIBER of Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, 28029 Madrid, Spain.
| | - Ángel Alonso Gómez
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country (UPV/EHU), 48940 Vitoria-Gasteiz, Spain.
| | - Josep A Tur
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain.
| | - Francisco Tinahones
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, 29010 Málaga, Spain.
| | - Lluis Serra-Majem
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016 Las Palmas, Spain.
| | | | - José Lapetra
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria, 41013 Sevilla, Spain.
| | - Clotilde Vázquez
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Department of Endocrinology, Fundación Jiménez-Díaz, 28040 Madrid, Spain.
| | - Xavier Pintó
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain.
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain.
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain.
| | - José Juan Gaforio
- CIBER of Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, 28029 Madrid, Spain.
- Centro de Estudios Avanzados en Olivar y Aceites de Oliva, University of Jaén, 23071 Jaén, Spain.
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
| | - Emilio Ros
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigació Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, 08036 Barcelona, Spain.
| | - Javier Diez-Espino
- Department of Preventive Medicine and Public Health, Medical School, University of Navarre, 31008 Pamplona, Spain.
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Servicio Navarro de Salud, Osasunbidea, 31002 Pamplona, Spain.
| | - Rebeca Fernández-Carrión
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain.
| | - Josep Basora
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43002 Reus, Spain.
| | - Montse Fitó
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), 08003 Barcelona, Spain.
| | - Juan Manuel Zazo
- CIBER of Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, 28029 Madrid, Spain.
- Miguel Hernández University, ISABIAL-FISABIO, 03202 Alicante, Spain.
| | - Antoni Colom
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain.
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, Medical School, University of Navarre, 31008 Pamplona, Spain.
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
| | - Andrés Díaz-López
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43002 Reus, Spain.
| | - Miguel Ángel Muñoz
- Primary Care Division of Barcelona, Institut Català de la Salud-IDIAP Jordi Gol, 08007 Barcelona, Spain.
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, Medical School, University of Navarre, 31008 Pamplona, Spain.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
| | - Alfredo Gea
- Department of Preventive Medicine and Public Health, Medical School, University of Navarre, 31008 Pamplona, Spain.
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, Spain.
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Sánchez-Villegas A, Pérez-Cornago A, Zazpe I, Santiago S, Lahortiga F, Martínez-González MA. Micronutrient intake adequacy and depression risk in the SUN cohort study. Eur J Nutr 2018; 57:2409-2419. [PMID: 28871327 DOI: 10.1007/s00394-017-1514-z] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 07/19/2017] [Indexed: 12/14/2022]
Abstract
PURPOSE The aim of the study was to prospectively assess the association between micronutrient intake adequacy and risk of depression. METHODS This dynamic cohort study involves Spanish university graduates (SUN Project). Dietary intake was assessed at baseline and after 10 years of follow-up with a semi-quantitative food frequency questionnaire. Micronutrient intake adequacy for vitamins B1, B2, B3, B6, B12, C, A, D, E, folic acid, zinc, iodine, selenium, iron, calcium, potassium, phosphorus, magnesium and chrome was estimated. Inadequate intake for each nutrient was defined when the intake of the nutrient was below the estimated average requirements (EAR) if available or the adequate intake levels, if EARs were not available. We compared participants with inadequate intake for ≥4 nutrients vs. those with one nutrient. Participants were classified as having incident depression if they had no previous history of depression or antidepressants use at baseline, but they reported during follow-up a new clinical diagnosis of depression by a physician, use of antidepressant drugs, or both. Time-dependent multivariable Cox regression models were fitted. RESULTS After a median follow-up of 8.5 years, 953 new cases of depression were observed among 13,983 participants. Participants with inadequate intake for ≥4 nutrients showed a significantly higher risk of depression [multivariable hazard ratio (HR) = 1.37; 95% confidence interval (CI) 1.01-1.85]. When the analyses were updated with repeated assessments of intakes, the association was attenuated and it was no longer statistically significant (Multivariable HR = 1.11; 95% CI 0.82-1.51). CONCLUSIONS Micronutrient inadequacy in four or more micronutrients could exert a moderate role in the development of depression.
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Affiliation(s)
- Almudena Sánchez-Villegas
- Nutrition Research Group, Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, C/Dr. Pasteur s/n, Trasera Hospital Insular, CP 35016, Las Palmas de Gran Canaria, Spain.
- Ciber de Fisiopatología de la Obesidad y Nutrición (CIBER OBN), Instituto de Salud Carlos III, 28029, Madrid, Spain.
| | - Aurora Pérez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Itziar Zazpe
- Ciber de Fisiopatología de la Obesidad y Nutrición (CIBER OBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Nutrition and Food Sciences and Physiology, University of Navarra-IDISNA, 31008, Pamplona, Spain
| | - Susana Santiago
- Department of Nutrition and Food Sciences and Physiology, University of Navarra-IDISNA, 31008, Pamplona, Spain
| | - Francisca Lahortiga
- Department of Psychiatry and Medical Psychology, University Clinic of Navarra, 31008, Pamplona, Spain
| | - Miguel Angel Martínez-González
- Ciber de Fisiopatología de la Obesidad y Nutrición (CIBER OBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra-IDISNA, 31008, Navarra, Spain
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, 02115, USA
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The Mediterranean diet, an environmentally friendly option: evidence from the Seguimiento Universidad de Navarra (SUN) cohort. Public Health Nutr 2018; 21:1573-1582. [PMID: 29380717 DOI: 10.1017/s1368980017003986] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
OBJECTIVE How food is produced and consumed has consequences for ecosystems, such as resource use and greenhouse gas (GHG) emission among others. The Mediterranean diet (MedDiet) was proposed as a sustainable dietary model, due to its nutritional, environmental, economic and sociocultural dimensions. However, further evidence is needed. Thus, our objective was to evaluate the impact on resource (land, water and energy) use and GHG emission of better adherence to the MedDiet in a Mediterranean Spanish cohort. DESIGN We analysed the dietary pattern of participants through a validated FFQ. The outcomes were land use, water and energy consumption and GHG emission according to MedDiet adherence. The specific environmental footprints of food item production and processing were obtained from different available life-cycle assessments. SETTING Spanish university graduates. SUBJECTS Participants (n 20 363) in the Seguimiento Universidad de Navarra (SUN) cohort. RESULTS Better adherence to the MedDiet was associated with lower land use (-0·71 (95 % CI -0·76, -0·66) m2/d), water consumption (-58·88 (95 % CI -90·12, -27·64) litres/d), energy consumption (-0·86 (95 % CI -1·01, -0·70) MJ/d) and GHG emission (-0·73 (95 % CI -0·78, -0·69) kg CO2e/d). A statistically significant linear trend (P<0·05) was observed in all these analyses. CONCLUSIONS In this Mediterranean cohort, better adherence to the MedDiet was an eco-friendly option according to resource consumption and GHG emission.
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49
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Santiago S, Zazpe I, Gea A, Nuñez-Córdoba JM, Carlos S, Bes-Rastrollo M, Martínez-González MA. Fat Quality Index and Risk of Cardiovascular Disease in the Sun Project. J Nutr Health Aging 2018; 22:526-533. [PMID: 29582893 DOI: 10.1007/s12603-018-1003-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To examine the association between a dietary fat quality index (FQI), and the risk of incident cardiovascular events or deaths in the Seguimiento Universidad de Navarra (SUN) cohort. DESIGN Longitudinal analysis during 10.1 years of median follow-up. Cox models were used to estimate adjusted hazard ratios (HR) of incident cardiovascular diseases (CVD) according to tertiles of FQI and of different fat subtypes. SETTING University of Navarra, Spain. PARTICIPANTS 19,341 middle-aged adults. MEASUREMENTS Fat intake was measured with a validated food-frequency questionnaire. The FQI was calculated according to the ratio: (monounsaturated+polyunsaturated) / (saturated+trans fatty acids). RESULTS We observed 140 incident cases of CVD. No association was found for FQI (HR=0.94, 95 %CI 0.61-1.47 for the highest vs the lowest tertile, p for trend=0.884). No significant associations were found for different dietary fat subtypes on CVD risk. The results suggest no clear association between a higher FQI and a higher amount of energy from fat and incidence of CVD (p for interaction: 0.259 and p for trend only among participants with a percentage of energy from fat ≥35% of total energy: 0.272). CONCLUSION In this Mediterranean cohort, the FQI was not associated with cardiovascular events. A "heart-healthy diet" should focus its attention on dietary fat sources and should use an overall dietary pattern approach, rather than limiting the focus on fat subtypes. More research is needed to validate dietary advice on specific fatty acids intake or saturated fatty acids replacements for reducing CVD risk.
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Affiliation(s)
- S Santiago
- Dr. Itziar Zazpe. University of Navarra, Department of Nutrition and Food Sciences and Physiology. Irunlarrea 1, 31080 Pamplona, Navarra, Spain. E-mail: . Tel: +34 948 42 56 00 Ext: 6560. Fax: + 34 948 42 56 49
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50
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Zazpe I, Santiago S, Gea A, Ruiz-Canela M, Carlos S, Bes-Rastrollo M, Martínez-González MA. Association between a dietary carbohydrate index and cardiovascular disease in the SUN (Seguimiento Universidad de Navarra) Project. Nutr Metab Cardiovasc Dis 2016; 26:1048-1056. [PMID: 27524801 DOI: 10.1016/j.numecd.2016.07.002] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Revised: 06/20/2016] [Accepted: 07/05/2016] [Indexed: 11/22/2022]
Abstract
BACKGROUND AND AIMS Beyond the quantity of carbohydrate intake, further research is needed to know the relevance of carbohydrate quality following operational indices. No previous longitudinal study has assessed the association between an index for quality of dietary carbohydrate intake and the risk of cardiovascular disease (CVD). Here, we examined the association between a carbohydrate quality index (CQI) and the risk of CVD. METHODS AND RESULTS We used a validated semi-quantitative 136-item food-frequency questionnaire (FFQ) in a prospective follow-up study of 17,424 middle-aged adults from Spain. The CQI was defined by four criteria: dietary fiber intake, glycemic index, whole-grain/total-grain carbohydrate ratio, and solid/total carbohydrate ratio. We observed 129 incident cases of CVD during 10.1 y of median follow-up. An inverse association for CQI was found (hazard ratio = 0.44, 95% confidence interval (CI): 0.25-0.78 for the highest versus the lowest tertile, p for trend = 0.008). Participants in the highest tertile of the whole-grain/total-grain carbohydrate ratio had 47% lower risk of CVD (95% CI: 0.33-0.85, p for trend = 0.008). Participants with higher baseline CQI and higher baseline energy from carbohydrates had the lowest risk of CVD. CONCLUSION In this Mediterranean cohort, a better quality of dietary carbohydrates measured by the CQI, showed a significant inverse association with the incidence of CVD. Specially, a higher proportion of carbohydrates from whole grains was strongly inversely associated with CVD. "Heart-healthy" diets should be focused not only on carbohydrate quantity but also on a multidimensional assessment of the type and quality of carbohydrates.
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Affiliation(s)
- I Zazpe
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain; Department of Nutrition and Food Sciences and Physiology, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - S Santiago
- Department of Nutrition and Food Sciences and Physiology, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - A Gea
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - M Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - S Carlos
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - M Bes-Rastrollo
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - M A Martínez-González
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.
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