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Manzke L, O'Sullivan K, Tiefenbeck V. "Did I buy that just now?" - Investigating factors influencing the accuracy of food choice self-reports in a simulated online grocery store. Appetite 2025:108032. [PMID: 40378893 DOI: 10.1016/j.appet.2025.108032] [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: 12/29/2024] [Revised: 04/24/2025] [Accepted: 04/29/2025] [Indexed: 05/19/2025]
Abstract
Food choices profoundly impact population health and the environment. Related research often relies on self-reported data, which is prone to biases, compromising the accuracy and validity of conclusions about consumer behavior. There are few systematic validations of self-reported data with behavioral data, or investigations of predictors for their accuracy. Consequently, this study examined possible predictors for the accuracy of self-reports by comparing them with observed food choices. Participants (N = 290) completed a shopping task in a simulated online grocery store, followed immediately by shopping self-reports and a survey, therefore minimizing recall-related distortions to self-reports due to time delays. Nevertheless, on average, participants had reporting errors in 3.81 out of 29 categories, with accuracy as low as a mean of 44 % for categories with no cues provided. Reporting accuracy significantly increased to 78 % with image-based memory aids for specific product categories (e.g., apples), and to 89 % with text-based memory aids for general categories (e.g., vegetables). Contrary to expectations related to social desirability bias, processed foods, often perceived as unhealthy, were overreported. Regression analysis revealed mental load during shopping, deliberation time per item, and dietary preferences as significant predictors of self-report accuracy, with mental load also predicting the accuracy of participants' estimates of the proportion of organic products in their shopping basket. Our findings show that even in conditions that minimize social desirability and recall limitations, substantial self-reporting errors persist. Accounting for mental load and product-specific biases is therefore necessary to enhance the validity of self-reports in food choice research.
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Affiliation(s)
- Leonie Manzke
- School of Business, Economics and Society, Friedrich-Alexander-University Erlangen-Nuremberg, Lange Gasse 20, Nuremberg, 90403, Germany.
| | - Kevin O'Sullivan
- Chair of Information Management, ETH Zurich, Weinbergstrasse 56/58, Zurich, 8092, Switzerland
| | - Verena Tiefenbeck
- School of Business, Economics and Society, Friedrich-Alexander-University Erlangen-Nuremberg, Lange Gasse 20, Nuremberg, 90403, Germany
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O'Brien M, Quirke R, Gowan R, McNicholas F. Prevalence of thiamine deficiency in anorexia nervosa: a systematic review and narrative synthesis. Eur Child Adolesc Psychiatry 2025; 34:1281-1293. [PMID: 39240360 DOI: 10.1007/s00787-024-02576-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 08/26/2024] [Indexed: 09/07/2024]
Abstract
Thiamine is an essential vitamin that plays a crucial role in many biochemical processes in the body. Anorexia nervosa (AN) is one potential cause of a state of deficiency which can result in grave medical sequelae. There is limited available evidence of the prevalence of thiamine deficiency in patients who suffer from AN. The current study aimed to systematically review all available evidence on the prevalence of thiamine deficiency in cohorts with AN. Studies were included where thiamine status in a group of participants with AN was measured, either through self-reporting or objective measurement. Eight databases (Scopus, CINAHL complete, Medline complete, EMBASE, WEB OF SCIENCE, PROSPERO, COCHRANE DATABASE OF SYSTEMATIC REVIEWS and Cochrane Central Register of Controlled Trials (CENTRAL) were searched. PRISMA guidelines were followed. The study was registered on PROSPERO. A minimum of two researchers conducted each part of the review. The search identified 42 articles whose full texts were screened for eligibility, with 17 retained for qualitative synthesis. The prevalence rates of thiamine deficiency in AN varied from 5.9% to 100% when based on self-report dietary intake. When objective measurements were taken, rates ranged from 0% to 56.7%. The review suggested that age, body mass index (BMI), duration of illness and subtype of AN were not associated with thiamine status. The limited available evidence suggested that the use of supplements, prior treatment and higher energy intakes were associated with a reduced risk of developing a thiamine deficiency among individuals with AN. Poor study methodology including small sample size, inconsistent deficiency definition and study heterogeneity limits the conclusions that can be drawn. Ultimately, there is insufficient strength of evidence to draw definitive clinical recommendations. This review highlights the need for further studies with more robust methodology to help further inform clinical practice.
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Affiliation(s)
- Michael O'Brien
- Maudsley Hospital, South London and Maudsley NHS Foundation Trust, London, UK.
| | - Rachael Quirke
- Department of Psychiatry, School of Medicine and Medical Science, University College Dublin, Dublin, Ireland
| | - Roisin Gowan
- National Maternity Hospital, Holles Street, Dublin, Ireland
| | - Fiona McNicholas
- Department of Psychiatry, School of Medicine and Medical Science, University College Dublin, Dublin, Ireland
- Children's Health Ireland at Crumlin, Dublin, Ireland
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Xu W, Li A, Yackel HD, Sarta ML, Salner A, Judge MP. Dietary consumption patterns in breast cancer survivors: Pilot evaluation of diet, supplements and clinical factors. Eur J Oncol Nurs 2024; 72:102678. [PMID: 39159551 DOI: 10.1016/j.ejon.2024.102678] [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: 04/24/2024] [Revised: 07/13/2024] [Accepted: 07/16/2024] [Indexed: 08/21/2024]
Abstract
PURPOSE Adherence to dietary intake guidelines is recommended for optimal nutrition and outcomes in breast cancer survivors. The purpose of this study was to examine dietary quality in a cohort of breast cancer survivors related to current guidelines, guiding further education-based research. METHODS This exploratory evaluation examined compliance with current dietary guidelines. Data collected included demographics, medical histories and repeated, three-day 24-h dietary recalls. Women with early-stage breast cancer (n = 97) who completed breast cancer treatment between 6 and 24 months were recruited. Descriptive statistics and frequencies were calculated for demographic and lifestyle characteristics, reported fish consumption, body mass index categories, supplement consumption, and adequacy of macronutrient and micronutrient consumption (classified as below, meeting, or exceeding needs). RESULTS In this cohort, 28.9% were classified as overweight and 35% were obese. The mean dietary macronutrient consumption was 44.3% (±8.9%) carbohydrates, 36.6% (±7.3%) fat, and 17.3% (±4.7%) protein. Additionally, 32.3% participants consumed >45 g sugar/d. The mean n-6 to n-3 ratio was 8.0 (±3.3):1. Further, 38% of survivors reported consuming less than 1 serving of fish per week. Participants consumed between 0 and 1.03 servings of fish per day, with an average consumption of 0.16 (±0.26) servings per day and 61.5% (n = 59) consuming 0 servings per day. The mean daily combined dietary and supplement consumption of multiple micronutrients was below the Recommended Daily Allowance for Vitamin D (30%), Calcium (52.6%), Magnesium (42.1%), and Vitamin E (80%). CONCLUSION Breast cancer survivors 0.5-2 years post-treatment are not meeting recommended nutrition consumption guidelines for a number of nutrients. Findings suggested that nutrition therapy targeting weight loss through reduced sugar, total and saturated fat, while increasing foods rich in omega-3, and ensuring adequate micronutrient consumption would promote better nutritional consumption patterns and improve overall health during survivorship.
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Affiliation(s)
- Wanli Xu
- University of Connecticut School of Nursing, Storrs, CT, 06269, United States
| | - Aolan Li
- University of Connecticut Department of Statistics, CT, 06269, United States
| | - Hayley D Yackel
- Hartford Healthcare Cancer Institute at Hartford Hospital, CT, 06106, United States
| | - Michelle L Sarta
- Charlotte Hungerford Hospital, Hartford Healthcare, Torrington, CT, 06790, United States
| | - Andrew Salner
- Hartford Healthcare Cancer Institute at Hartford Hospital, CT, 06106, United States
| | - Michelle P Judge
- University of Connecticut School of Nursing, Storrs, CT, 06269, United States.
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Tegegne TK, Tran LD, Nourse R, Gurrin C, Maddison R. Daily Activity Lifelogs of People With Heart Failure: Observational Study. JMIR Form Res 2024; 8:e51248. [PMID: 38381484 PMCID: PMC10918541 DOI: 10.2196/51248] [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: 07/26/2023] [Revised: 11/01/2023] [Accepted: 11/22/2023] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND Globally, heart failure (HF) affects more than 64 million people, and attempts to reduce its social and economic burden are a public health priority. Interventions to support people with HF to self-manage have been shown to reduce hospitalizations, improve quality of life, and reduce mortality rates. Understanding how people self-manage is imperative to improve future interventions; however, most approaches to date, have used self-report methods to achieve this. Wearable cameras provide a unique tool to understand the lived experiences of people with HF and the daily activities they undertake, which could lead to more effective interventions. However, their potential for understanding chronic conditions such as HF is unclear. OBJECTIVE This study aimed to determine the potential utility of wearable cameras to better understand the activities of daily living in people living with HF. METHODS The "Seeing is Believing (SIB)" study involved 30 patients with HF who wore wearable cameras for a maximum of 30 days. We used the E-Myscéal web-based lifelog retrieval system to process and analyze the wearable camera image data set. Search terms for 7 daily activities (physical activity, gardening, shopping, screen time, drinking, eating, and medication intake) were developed and used for image retrieval. Sensitivity analysis was conducted to compare the number of images retrieved using different search terms. Temporal patterns in daily activities were examined, and differences before and after hospitalization were assessed. RESULTS E-Myscéal exhibited sensitivity to specific search terms, leading to significant variations in the number of images retrieved for each activity. The highest number of images returned were related to eating and drinking, with fewer images for physical activity, screen time, and taking medication. The majority of captured activities occurred before midday. Notably, temporal differences in daily activity patterns were observed for participants hospitalized during this study. The number of medication images increased after hospital discharge, while screen time images decreased. CONCLUSIONS Wearable cameras offer valuable insights into daily activities and self-management in people living with HF. E-Myscéal efficiently retrieves relevant images, but search term sensitivity underscores the need for careful selection.
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Howes EM, Parker MK, Misyak SA, DiFeliceantonio AG, Davy BM, Brown LEC, Hedrick VE. The Impact of Weight Bias and Stigma on the 24 h Dietary Recall Process in Adults with Overweight and Obesity: A Pilot Study. Nutrients 2024; 16:191. [PMID: 38257084 PMCID: PMC10818297 DOI: 10.3390/nu16020191] [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: 10/30/2023] [Revised: 12/07/2023] [Accepted: 01/03/2024] [Indexed: 01/24/2024] Open
Abstract
People with overweight and obesity tend to both underreport dietary energy intake and experience weight stigma. This exploratory pilot study aimed to determine the relationship between weight bias and weight stigma and energy intake reporting accuracy. Thirty-nine weight-stable adults with BMI ≥ 25 completed three 24 h dietary recalls; indirect calorimetry to measure resting metabolic rate; a survey measuring weight stigma, psychosocial constructs, and physical activity; and a semi-structured qualitative interview. Multiple linear regression was used to determine if weight bias internalization, weight bias toward others, and experiences of weight stigma were predictive of the accuracy of energy reporting. A thematic analysis was conducted for the qualitative interviews. Weight stigma was reported by 64.1% of the sample. Weight stigma constructs did not predict the accuracy of energy intake reporting. People with obesity underreported by a mean of 477 kcals (p = 0.02). People classified as overweight overreported by a mean of 144 kcals, but this was not significant (p = 0.18). Participants reported a desire to report accurate data despite concerns about reporting socially undesirable foods. Future research should quantify the impact of weight stigma on energy reporting in 24 h recalls using a larger, more diverse sample size and objective measures like doubly labeled water for validation.
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Affiliation(s)
- Erica M. Howes
- Department of Human Nutrition, Foods and Exercise, Virginia Tech, Blacksburg, VA 24061, USA; (M.K.P.); (S.A.M.); (A.G.D.); (B.M.D.); (V.E.H.)
| | - Molly K. Parker
- Department of Human Nutrition, Foods and Exercise, Virginia Tech, Blacksburg, VA 24061, USA; (M.K.P.); (S.A.M.); (A.G.D.); (B.M.D.); (V.E.H.)
| | - Sarah A. Misyak
- Department of Human Nutrition, Foods and Exercise, Virginia Tech, Blacksburg, VA 24061, USA; (M.K.P.); (S.A.M.); (A.G.D.); (B.M.D.); (V.E.H.)
| | - Alexandra G. DiFeliceantonio
- Department of Human Nutrition, Foods and Exercise, Virginia Tech, Blacksburg, VA 24061, USA; (M.K.P.); (S.A.M.); (A.G.D.); (B.M.D.); (V.E.H.)
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA
| | - Brenda M. Davy
- Department of Human Nutrition, Foods and Exercise, Virginia Tech, Blacksburg, VA 24061, USA; (M.K.P.); (S.A.M.); (A.G.D.); (B.M.D.); (V.E.H.)
| | | | - Valisa E. Hedrick
- Department of Human Nutrition, Foods and Exercise, Virginia Tech, Blacksburg, VA 24061, USA; (M.K.P.); (S.A.M.); (A.G.D.); (B.M.D.); (V.E.H.)
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Factors associated with fruit and vegetable consumption among Burmese refugees. Public Health Nutr 2023:1-7. [PMID: 36740943 DOI: 10.1017/s1368980023000125] [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: 02/07/2023]
Abstract
OBJECTIVE The Burmese population is one of the fast-growing refugee populations in the USA. This study investigated behavioural and environmental factors associated with fruit and vegetable (FV) consumption among Burmese refugees. DESIGN We conducted a cross-sectional interview survey in 2018-2019. The 24-h recall was used to assess dietary behaviour. Multivariable logistic regression models were constructed with meeting the daily FV consumption recommendation (two or more servings of fruits and three or more servings of vegetables) as the outcome variable. We selected socio-economics, nutritional knowledge, food shopping frequency, ethnicity of preferred food store owners, perceived neighbourhood food environment and network distance to preferred food stores as potential explanatory variables. SETTING Two Upstate New York counties. PARTICIPANTS Burmese refugees (n 173) aged ≥18 years. RESULTS Forty-five percentage of respondents met the daily FV consumption recommendation, and nearly all respondents identified ethnic (Burmese, Chinese/pan-Asian, or South Asian/halal) stores as their preferred stores to purchase FV. In the best-fit model, age (OR 1·08, 95 % CI (1·04, 1·12)) and shopping frequency (OR 1·51, 95 % CI (1·01, 2·26)) were positively associated, and network distance to preferred stores in kilometres (OR 0·81, 95 % CI (0·73, 0·90)) was negatively associated with meeting the daily FV consumption recommendation. No significant effect modifications by car ownership, poverty, length of stay in the USA and Supplemental Nutrition Assistance Program participation were detected. CONCLUSIONS The findings suggested that having Asian ethnic food stores within a short, walkable distance from home and shopping at these stores often can promote healthy dietary behaviour among Burmese refugees.
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Gauthier P, Desir C, Plombas M, Joffray E, Benhamou P, Borel A. Impact of sleep and physical activity habits on real‐life glycaemic variability in patients with type 2 diabetes. J Sleep Res 2022; 32:e13799. [PMID: 36495012 DOI: 10.1111/jsr.13799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 11/23/2022] [Accepted: 11/23/2022] [Indexed: 12/14/2022]
Abstract
The aim of this study was to better characterise whether sleep habits, eating schedule and physical activity in real-life are associated with glycaemic control in patients with type 2 diabetes. A total of 28 patients (aged 60 years [58; 66], 54% female) with type 2 diabetes treated with basal-bolus insulin therapy administered by insulin pumps were analysed. Glycaemic data measured by Flash Glucose Monitor System, physical activity and sleep data measured by accelerometer, and meal schedules were simultaneously collated with insulin pump administration data, for 7 days in real-life. Their respective impact on the time spent in target, in hypoglycaemia, in hyperglycaemia and on glycaemic variability was evaluated. Multiple regressions showed that the total daily dose of meal boluses of insulin was inversely associated with the coefficient of variation (CV; coefficient β = -0.073; 95% confidence interval: -0.130, -0.015; p = 0.016), as well as sleep duration. The higher the sleep duration, the lower the glycaemic variability (coefficient β = -0.012; 95% confidence interval: -0.023, -0.002; p = 0.027). The mean 7 days physical activity of the subjects was very low and was not associated with glycaemic control on the 7 days mean values. However, days with at least 1 hr spent in physical activity higher than 1.5 METs were associated with less glycaemic variability that same day. This real-life observation highlights the importance of sufficient sleep duration and regular physical activity to lessen the glycaemic variability of patients with type 2 diabetes.
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Affiliation(s)
| | | | | | | | - Pierre‐Yves Benhamou
- Laboratory of Fundamental and Applied Bioenergetics, Inserm U1055 Univ. Grenoble Alpes Grenoble France
- Department of Endocrinology Diabetology Nutrition Grenoble Alpes University Hospital Grenoble France
| | - Anne‐Laure Borel
- Department of Endocrinology Diabetology Nutrition Grenoble Alpes University Hospital Grenoble France
- Hypoxia‐physiopathology laboratory, Inserm U1300 Univ. Grenoble Alpes Grenoble France
- Centre Spécialisé de l'Obésité Grenoble Arc Alpin Grenoble France
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Vega-Salas MJ, Caro P, Johnson L, Papadaki A. Socio-economic inequalities in dietary intake in Chile: a systematic review. Public Health Nutr 2022; 25:1819-1834. [PMID: 34247696 PMCID: PMC9991770 DOI: 10.1017/s1368980021002937] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 06/02/2021] [Accepted: 07/07/2021] [Indexed: 01/02/2023]
Abstract
OBJECTIVE Understanding the socio-economic inequalities in dietary intake is crucial when addressing the socio-economic gradient in obesity rates and non-communicable diseases. We aimed to systematically assess the association between socio-economic position (SEP) and dietary intake in Chile. DESIGN We searched for peer-reviewed and grey literature from inception until 31 December 2019 in PubMed, Scopus, PsycINFO, Web of Sciences and LILACS databases. Observational studies published in English and Spanish, reporting the comparison of at least one dietary factor between at least two groups of different SEP in the general Chilean population, were selected. Two researchers independently conducted data searches, screening and extraction and assessed study quality using an adaptation of the Newcastle Ottawa Quality Assessment Scale. RESULTS Twenty-one articles (from eighteen studies) were included. Study quality was considered low, medium and high for 24, 52 and 24 % of articles, respectively. Moderate-to-large associations indicated lower intake of fruit and vegetables, dairy products and fish/seafood and higher pulses consumption among adults of lower SEP. Variable evidence of association was found for energy intake and macronutrients, in both children and adults. CONCLUSIONS Our findings highlight some socio-economic inequalities in diets in Chile, evidencing an overall less healthy food consumption among the lower SEP groups. New policies to reduce these inequalities should tackle the unequal distribution of factors affecting healthy eating among the lower SEP groups. These findings also provide important insights for developing strategies to reduce dietary inequalities in Chile and other countries that have undergone similar nutritional transitions.
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Affiliation(s)
- María Jesús Vega-Salas
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, 8 Priory Road, BristolBS8 1TZ, UK
| | - Paola Caro
- School for Policy Studies, University of Bristol, Bristol, UK
| | - Laura Johnson
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, 8 Priory Road, BristolBS8 1TZ, UK
| | - Angeliki Papadaki
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, 8 Priory Road, BristolBS8 1TZ, UK
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Whitton C, Healy JD, Dhaliwal SS, Shoneye C, Harray AJ, Mullan BA, McVeigh JA, Boushey CJ, Kerr DA. Demographic and psychosocial correlates of measurement error and reactivity bias in a four-day image-based mobile food record among adults with overweight and obesity. Br J Nutr 2022; 129:1-39. [PMID: 35587722 PMCID: PMC9899562 DOI: 10.1017/s0007114522001532] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 04/02/2022] [Accepted: 05/11/2022] [Indexed: 11/06/2022]
Abstract
Improving dietary reporting among people living with obesity is challenging as many factors influence reporting accuracy. Reactive reporting may occur in response to dietary recording but little is known about how image-based methods influence this process. Using a 4-day image-based mobile food record (mFRTM), this study aimed to identify demographic and psychosocial correlates of measurement error and reactivity bias, among adults with BMI 25-40kg/m2. Participants (n=155, aged 18-65y) completed psychosocial questionnaires, and kept a 4-day mFRTM. Energy expenditure (EE) was estimated using ≥4 days of hip-worn accelerometer data, and energy intake (EI) was measured using mFRTM. Energy intake: energy expenditure ratios were calculated, and participants in the highest tertile were considered to have Plausible Intakes. Negative changes in EI according to regression slopes indicated Reactive Reporting. Mean EI was 72% (SD=21) of estimated EE. Among participants with Plausible Intakes, mean EI was 96% (SD=13) of estimated EE. Higher BMI (OR 0.81, 95%CI 0.72-0.92) and greater need for social approval (OR 0.31, 95% CI 0.10-0.96), were associated with lower likelihood of Plausible Intakes. Estimated EI decreased by 3% per day of recording (IQR -14%,6%) among all participants. The EI of Reactive Reporters (n=52) decreased by 17%/day (IQR -23%,-13%). A history of weight loss (>10kg) (OR 3.4, 95% CI 1.5-7.8), and higher percentage of daily energy from protein (OR 1.1, 95%CI 1.0-1.2) were associated with greater odds of Reactive Reporting. Identification of reactivity to measurement, as well as Plausible Intakes, is recommended in community-dwelling studies to highlight and address sources of bias.
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Affiliation(s)
- Clare Whitton
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth6845, Australia
- Curtin Health Innovation Research Institute, Curtin University, Kent Street, GPO Box U1987, Perth6845, Australia
| | - Janelle D. Healy
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth6845, Australia
- Curtin Health Innovation Research Institute, Curtin University, Kent Street, GPO Box U1987, Perth6845, Australia
| | - Satvinder S. Dhaliwal
- Curtin Health Innovation Research Institute, Curtin University, Kent Street, GPO Box U1987, Perth6845, Australia
- Singapore University of Social Sciences, 463 Clementi Road, 599494, Singapore
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, 11800Minden, Pulau Pinang, Malaysia
- Duke-NUS Medical School, National University of Singapore, 8 College Rd, Singapore169857, Singapore
| | - Charlene Shoneye
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth6845, Australia
| | - Amelia J. Harray
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth6845, Australia
- Telethon Kids Institute, 15 Hospital Ave, Nedlands, WA6009, Australia
| | - Barbara A. Mullan
- Enable Institute, Curtin University, Kent Street, GPO Box U1987, Perth6845, Australia
| | - Joanne A. McVeigh
- Curtin School of Allied Health, Curtin University, Kent Street, GPO Box U1987, Perth6845, Australia
- Movement Physiology Laboratory, University of Witwatersrand, Johannesburg, South Africa
| | - Carol J. Boushey
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Deborah A. Kerr
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth6845, Australia
- Curtin Health Innovation Research Institute, Curtin University, Kent Street, GPO Box U1987, Perth6845, Australia
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Intake Differences between Subsequent 24-h Dietary Recalls Create Significant Reporting Bias in Adults with Obesity. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12052728] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In depth understanding of the dietary patterns of individuals with obesity is needed in practice and research, in order to support dietitians and physicians in the design and implementation of nutritional management. We aimed to analyze the consistency of energy, macro-, and micronutrient reported intakes in four non-consecutive 24-h dietary recalls from 388 adults with obesity using information collected in the NutriGen Study (ClinicalTrials.gov, NCT02837367). Significant decreases were identified for reported energy and several, macro- and micronutrient intakes, between the first and subsequent 24-h recalls. Significant differences of reported intakes were identified in sensitivity analyses, suggesting that the first recall (also the only one performed on site, face-to-face) might be a point of bias. A comparison of the differences in intakes between weekend and weekday, after adjustment for false discovery rate were non-statistically significant either in male, females, or in total. To overcome this potential bias, studies should be carefully conducted, starting from the design phase, through to the analysis and interpretation phases of the study. Prior to averaging specific intakes across all sessions of reporting, a preliminary analysis must be conducted to identify if a certain time point had significant differences from all other time points and overview potential sources of bias: reporting bias, training bias, or behavioral changes could be responsible for such differences.
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Bell BM, Alam R, Mondol AS, Ma M, Emi IA, Preum SM, de la Haye K, Stankovic JA, Lach J, Spruijt-Metz D. Validity and Feasibility of the Monitoring and Modeling Family Eating Dynamics System to Automatically Detect In-field Family Eating Behavior: Observational Study. JMIR Mhealth Uhealth 2022; 10:e30211. [PMID: 35179508 PMCID: PMC8900902 DOI: 10.2196/30211] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 09/28/2021] [Accepted: 12/03/2021] [Indexed: 01/02/2023] Open
Abstract
Background The field of dietary assessment has a long history, marked by both controversies and advances. Emerging technologies may be a potential solution to address the limitations of self-report dietary assessment methods. The Monitoring and Modeling Family Eating Dynamics (M2FED) study uses wrist-worn smartwatches to automatically detect real-time eating activity in the field. The ecological momentary assessment (EMA) methodology was also used to confirm whether eating occurred (ie, ground truth) and to measure other contextual information, including positive and negative affect, hunger, satiety, mindful eating, and social context. Objective This study aims to report on participant compliance (feasibility) to the 2 distinct EMA protocols of the M2FED study (hourly time-triggered and eating event–triggered assessments) and on the performance (validity) of the smartwatch algorithm in automatically detecting eating events in a family-based study. Methods In all, 20 families (58 participants) participated in the 2-week, observational, M2FED study. All participants wore a smartwatch on their dominant hand and responded to time-triggered and eating event–triggered mobile questionnaires via EMA while at home. Compliance to EMA was calculated overall, for hourly time-triggered mobile questionnaires, and for eating event–triggered mobile questionnaires. The predictors of compliance were determined using a logistic regression model. The number of true and false positive eating events was calculated, as well as the precision of the smartwatch algorithm. The Mann-Whitney U test, Kruskal-Wallis test, and Spearman rank correlation were used to determine whether there were differences in the detection of eating events by participant age, gender, family role, and height. Results The overall compliance rate across the 20 deployments was 89.26% (3723/4171) for all EMAs, 89.7% (3328/3710) for time-triggered EMAs, and 85.7% (395/461) for eating event–triggered EMAs. Time of day (afternoon odds ratio [OR] 0.60, 95% CI 0.42-0.85; evening OR 0.53, 95% CI 0.38-0.74) and whether other family members had also answered an EMA (OR 2.07, 95% CI 1.66-2.58) were significant predictors of compliance to time-triggered EMAs. Weekend status (OR 2.40, 95% CI 1.25-4.91) and deployment day (OR 0.92, 95% CI 0.86-0.97) were significant predictors of compliance to eating event–triggered EMAs. Participants confirmed that 76.5% (302/395) of the detected events were true eating events (ie, true positives), and the precision was 0.77. The proportion of correctly detected eating events did not significantly differ by participant age, gender, family role, or height (P>.05). Conclusions This study demonstrates that EMA is a feasible tool to collect ground-truth eating activity and thus evaluate the performance of wearable sensors in the field. The combination of a wrist-worn smartwatch to automatically detect eating and a mobile device to capture ground-truth eating activity offers key advantages for the user and makes mobile health technologies more accessible to nonengineering behavioral researchers.
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Affiliation(s)
- Brooke Marie Bell
- Department of Chronic Disease Epidemiology, School of Public Health, Yale University, New Haven, CT, United States.,Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Ridwan Alam
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, United States.,Department of Electrical and Computer Engineering, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States
| | - Abu Sayeed Mondol
- Department of Computer Science, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States
| | - Meiyi Ma
- Department of Computer Science, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States.,Department of Computer Science, School of Engineering, Vanderbilt University, Nashville, TN, United States
| | - Ifat Afrin Emi
- Department of Computer Science, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States
| | - Sarah Masud Preum
- Department of Computer Science, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States.,Department of Computer Science, Dartmouth College, Hanover, NH, United States
| | - Kayla de la Haye
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - John A Stankovic
- Department of Computer Science, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States
| | - John Lach
- Department of Electrical and Computer Engineering, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States.,School of Engineering and Applied Science, The George Washington University, Washington, DC, United States
| | - Donna Spruijt-Metz
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.,Center for Economic and Social Research, Dornsife College of Letters, Arts, and Sciences, University of Southern California, Los Angeles, CA, United States.,Department of Psychology, Dornsife College of Letters, Arts, and Sciences, University of Southern California, Los Angeles, CA, United States
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12
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Heredia NI, Zhang X, Balakrishnan M, Daniel CR, Hwang JP, McNeill LH, Thrift AP. Physical activity and diet quality in relation to non-alcoholic fatty liver disease: A cross-sectional study in a representative sample of U.S. adults using NHANES 2017-2018. Prev Med 2022; 154:106903. [PMID: 34861339 PMCID: PMC8724407 DOI: 10.1016/j.ypmed.2021.106903] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 11/15/2021] [Accepted: 11/28/2021] [Indexed: 01/03/2023]
Abstract
The association of physical activity (PA) and diet quality with non-alcoholic fatty liver disease (NAFLD) and NAFLD-related fibrosis have never been examined in a representative sample of U.S. adults using a more precise form of measuring NAFLD. The purpose of this study was to assess the associations of PA and diet quality (Healthy Eating Index [HEI]-2015) with NAFLD and a subset with advanced fibrosis (F3-4) as assessed by vibration-controlled transient elastography with controlled attenuation parameter in a representative sample of U.S. adults. This cross-sectional analysis uses data from 2017-2018 National Health and Nutrition Examination Survey. NAFLD was defined as controlled attenuation parameter ≥285 dB/m, and high likelihood of advanced fibrosis as liver stiffness measurements ≥8.6 kPa. Associations of HEI-2015 from 24-h dietary recalls and self-reported PA and sedentary behavior were estimated in multivariable-adjusted logistic regression models of NAFLD and advanced fibrosis. In 2892 adults, the prevalence of NAFLD and advanced fibrosis was 35.6% and 5.6%, respectively. We found that high adherence to U.S. dietary recommendations (highest vs. lowest HEI-2015 tertile) and more PA (middle tertile vs. lowest) were associated with reduced odds of NAFLD (Adjusted OR and 95% CI; 0.60 (0.44, 0.84) and 0.65 (0.42, 0.99), respectively). More PA was inversely associated with advanced fibrosis (Adjusted OR = 0.35, 95%CI 0.16, 0.75). Diet quality and PA are associated with reduced odds of NAFLD, and PA may be critical even for those with advanced liver disease. These behaviors should be the focus of targeted public health interventions.
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Affiliation(s)
- Natalia I Heredia
- Department of Health Promotion & Behavioral Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
| | - Xiaotao Zhang
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Maya Balakrishnan
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Carrie R Daniel
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jessica P Hwang
- Department of General Internal Medicine, Division of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lorna H McNeill
- Department of Health Disparities Research, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Aaron P Thrift
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
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13
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Meyer LE, Porter L, Reilly ME, Johnson C, Safir S, Greenfield SF, Silverman BC, Hudson JI, Javaras KN. Using Wearable Cameras to Investigate Health-Related Daily Life Experiences: A Literature Review of Precautions and Risks in Empirical Studies. RESEARCH ETHICS 2022; 18:64-83. [PMID: 35874047 PMCID: PMC9307222 DOI: 10.1177/17470161211054021] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Automated, wearable cameras can benefit health-related research by capturing accurate and objective information about individuals' daily experiences. However, wearable cameras present unique privacy- and confidentiality-related risks due to the possibility of the images capturing identifying or sensitive information from participants and third parties. Although best practice guidelines for ethical research with wearable cameras have been published, limited information exists on the risks of studies using wearable cameras. The aim of this literature review was to survey risks related to using wearable cameras, and precautions taken to reduce those risks, as reported in empirical research. Forty-five publications, comprising 36 independent studies, were reviewed, and findings revealed that participants' primary concerns with using wearable cameras included physical inconvenience and discomfort in certain situations (e.g., public settings). None of the studies reviewed reported any serious adverse events. Although it is possible that reported findings do not include all risks experienced by participants in research with wearable cameras, our findings suggest a low level of risk to participants. However, it is important that investigators adopt recommended precautions, which can promote autonomy and reduce risks, including participant discomfort.
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Affiliation(s)
- Laurel E. Meyer
- McLean Hospital, Division of Women’s Mental Health, Belmont, MA
| | - Lauren Porter
- McLean Hospital, Division of Women’s Mental Health, Belmont, MA
| | | | | | - Salman Safir
- McLean Hospital, Division of Women’s Mental Health, Belmont, MA
| | - Shelly F. Greenfield
- McLean Hospital, Division of Women’s Mental Health, Belmont, MA,Harvard Medical School, Department of Psychiatry, Boston, MA
| | - Benjamin C. Silverman
- Harvard Medical School, Department of Psychiatry, Boston, MA,Human Research Affairs, Mass General Brigham, Boston, MA
| | - James I. Hudson
- McLean Hospital, Biological Psychiatry Laboratory, Belmont, MA,Harvard Medical School, Department of Psychiatry, Boston, MA
| | - Kristin N. Javaras
- McLean Hospital, Division of Women’s Mental Health, Belmont, MA,Harvard Medical School, Department of Psychiatry, Boston, MA
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14
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Whitton C, Healy JD, Collins CE, Mullan B, Rollo ME, Dhaliwal SS, Norman R, Boushey CJ, Delp EJ, Zhu F, McCaffrey TA, Kirkpatrick SI, Atyeo P, Mukhtar SA, Wright JL, Ramos-García C, Pollard CM, Kerr DA. Accuracy and Cost-effectiveness of Technology-Assisted Dietary Assessment Comparing the Automated Self-administered Dietary Assessment Tool, Intake24, and an Image-Assisted Mobile Food Record 24-Hour Recall Relative to Observed Intake: Protocol for a Randomized Crossover Feeding Study. JMIR Res Protoc 2021; 10:e32891. [PMID: 34924357 PMCID: PMC8726032 DOI: 10.2196/32891] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 11/03/2021] [Accepted: 11/10/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The assessment of dietary intake underpins population nutrition surveillance and nutritional epidemiology and is essential to inform effective public health policies and programs. Technological advances in dietary assessment that use images and automated methods have the potential to improve accuracy, respondent burden, and cost; however, they need to be evaluated to inform large-scale use. OBJECTIVE The aim of this study is to compare the accuracy, acceptability, and cost-effectiveness of 3 technology-assisted 24-hour dietary recall (24HR) methods relative to observed intake across 3 meals. METHODS Using a controlled feeding study design, 24HR data collected using 3 methods will be obtained for comparison with observed intake. A total of 150 healthy adults, aged 18 to 70 years, will be recruited and will complete web-based demographic and psychosocial questionnaires and cognitive tests. Participants will attend a university study center on 3 separate days to consume breakfast, lunch, and dinner, with unobtrusive documentation of the foods and beverages consumed and their amounts. Following each feeding day, participants will complete a 24HR process using 1 of 3 methods: the Automated Self-Administered Dietary Assessment Tool, Intake24, or the Image-Assisted mobile Food Record 24-Hour Recall. The sequence of the 3 methods will be randomized, with each participant exposed to each method approximately 1 week apart. Acceptability and the preferred 24HR method will be assessed using a questionnaire. Estimates of energy, nutrient, and food group intake and portion sizes from each 24HR method will be compared with the observed intake for each day. Linear mixed models will be used, with 24HR method and method order as fixed effects, to assess differences in the 24HR methods. Reporting bias will be assessed by examining the ratios of reported 24HR intake to observed intake. Food and beverage omission and intrusion rates will be calculated, and differences by 24HR method will be assessed using chi-square tests. Psychosocial, demographic, and cognitive factors associated with energy misestimation will be evaluated using chi-square tests and multivariable logistic regression. The financial costs, time costs, and cost-effectiveness of each 24HR method will be assessed and compared using repeated measures analysis of variance tests. RESULTS Participant recruitment commenced in March 2021 and is planned to be completed by the end of 2021. CONCLUSIONS This protocol outlines the methodology of a study that will evaluate the accuracy, acceptability, and cost-effectiveness of 3 technology-enabled dietary assessment methods. This will inform the selection of dietary assessment methods in future studies on nutrition surveillance and epidemiology. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12621000209897; https://tinyurl.com/2p9fpf2s. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/32891.
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Affiliation(s)
- Clare Whitton
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Janelle D Healy
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Clare E Collins
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia
| | - Barbara Mullan
- Enable Institute, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Megan E Rollo
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia
| | - Satvinder S Dhaliwal
- Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Perth, Australia
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Pulau Pinang, Malaysia
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Perth, Australia
| | - Richard Norman
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
- Enable Institute, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Carol J Boushey
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States
| | - Edward J Delp
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States
| | - Fengqing Zhu
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States
| | - Tracy A McCaffrey
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Australia
| | | | - Paul Atyeo
- Health Section, Health and Disability Branch, Australian Bureau of Statistics, Canberra, Australia
| | - Syed Aqif Mukhtar
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Janine L Wright
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - César Ramos-García
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
- Division of Health Sciences, Tonalá University Center, University of Guadalajara, Guadalajara, Mexico
| | - Christina M Pollard
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
- Enable Institute, Faculty of Health Sciences, Curtin University, Perth, Australia
- Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Deborah A Kerr
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
- Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Perth, Australia
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15
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Kanellakis S, Sidiropoulou S, Apostolidou E, Skoufas E, Bountouvi E, Prelorentzou T, Manios Y. Association of dietary intake underreporting with body image perception. CLINICAL NUTRITION OPEN SCIENCE 2021. [DOI: 10.1016/j.nutos.2021.09.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
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16
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Castellanos-Gutiérrez A, Rodríguez-Ramírez S, Bromage S, Fung TT, Li Y, Bhupathiraju SN, Deitchler M, Willett W, Batis C. Performance of the Global Diet Quality Score with Nutrition and Health Outcomes in Mexico with 24-h Recall and FFQ Data. J Nutr 2021; 151:143S-151S. [PMID: 34689195 PMCID: PMC8542100 DOI: 10.1093/jn/nxab202] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 04/12/2021] [Accepted: 06/01/2021] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND The Global Diet Quality Score (GDQS) is intended as a simple global diet quality metric feasible in low- and middle-income countries facing the double burden of malnutrition. OBJECTIVE The aim of this study was to evaluate the performance of the GDQS with markers of nutrient adequacy and chronic disease in nonpregnant nonlactating (NPNL) Mexican women of reproductive age and to compare it with the Alternate Healthy Eating Index-2010 (AHEI-2010) and the Minimum Dietary Diversity for Women (MDD-W). METHODS We included NPNL women aged 15 to 49 y from the Mexican National Health and Nutrition Surveys (2012 and 2016) with 24-h recall (n = 2542) or a FFQ (n = 4975) (separate samples). We evaluated the correlation of the GDQS with the energy-adjusted intake of several nutrients and evaluated its association with health parameters using covariate-adjusted linear regression models. RESULTS The GDQS was positively correlated with the intake of calcium, folate, iron, vitamin A, vitamin B-12, zinc, fiber, protein, and total fat (rho = 0.09 to 0.38, P < 0.05) and was inversely correlated with the intake of added sugar (rho = -0.37 and -0.38, P < 0.05) using both instruments, and with total fat, SFA, and MUFA only with 24-h recall data (rho = -0.06 to -0.16, P < 0.05). The GDQS was inversely associated with serum ferritin, BMI, waist circumference, and serum total and LDL cholesterol using FFQ data (P < 0.05), and was positively associated with serum folate using 24-h recall data (P < 0.05). Similar correlations and associations were observed with the MDD-W (only with micronutrients) and the AHEI-2010 (only with chronic disease-related nutrients and health markers). CONCLUSIONS In comparison to other diet metrics, the GDQS can capture both dimensions of nutrient adequacy and health markers related to the risk of chronic disease. The performance of the GDQS was satisfactory with either 24-h recall or FFQ.
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Affiliation(s)
| | - Sonia Rodríguez-Ramírez
- Health and Nutrition Research Center, National Institute of Public Health, Cuernavaca, Mexico
| | - Sabri Bromage
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Teresa T Fung
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Nutrition, Simmons University, Boston, MA, USA
| | - Yanping Li
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | | | - Megan Deitchler
- Intake – Center for Dietary Assessment, FHI Solutions, Washington, DC, USA
| | - Walter Willett
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Carolina Batis
- CONACYT—Health and Nutrition Research Center, National Institute of Public Health, Cuernavaca, Mexico
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17
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Rousset S, Médard S, Fleury G, Fardet A, Goutet O, Lacomme P. Energy Intake Evaluation by a Learning Approach Using the Number of Food Portions and Body Weight. Foods 2021; 10:2273. [PMID: 34681321 PMCID: PMC8535257 DOI: 10.3390/foods10102273] [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: 06/23/2021] [Revised: 09/20/2021] [Accepted: 09/22/2021] [Indexed: 11/16/2022] Open
Abstract
An accurate quantification of energy intake is critical; however, under-reporting is frequent. The aim of this study was to develop an indirect statistical method of the total energy intake estimation based on gender, weight, and the number of portions. The energy intake prediction was developed and evaluated for validity using energy expenditure. Subjects with various BMIs were recruited and assigned either in the training or the test group. The mean energy provided by a portion was evaluated by linear regression models from the training group. The absolute values of the error between the energy intake estimation and the energy expenditure measurement were calculated for each subject, by subgroup and for the whole group. The performance of the models was determined using the test dataset. As the number of portions is the only variable used in the model, the error was 26.5%. After adding body weight in the model, the error decreased to 8.8% and 10.8% for the normal-weight women and men, respectively, and 11.7% and 12.8% for the overweight women and men, respectively. The results prove that a statistical approach and knowledge of the usual number of portions and body weight is effective and sufficient to obtain a precise evaluation of energy intake after a simple and brief enquiry.
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Affiliation(s)
- Sylvie Rousset
- Unité de Nutrition Humaine, University Clermont Auvergne, UNH, UMR1019, INRAE, 63000 Clermont-Ferrand, France;
| | - Sébastien Médard
- Laboratoire d’Informatique (LIMOS, UMR CNRS 6158), University Clermont Auvergne, 63000 Clermont-Ferrand, France; (S.M.); (G.F.); (P.L.)
| | - Gérard Fleury
- Laboratoire d’Informatique (LIMOS, UMR CNRS 6158), University Clermont Auvergne, 63000 Clermont-Ferrand, France; (S.M.); (G.F.); (P.L.)
| | - Anthony Fardet
- Unité de Nutrition Humaine, University Clermont Auvergne, UNH, UMR1019, INRAE, 63000 Clermont-Ferrand, France;
| | - Olivier Goutet
- Openium, 15 rue Jean Claret Bâtiment le XV, La Pardieu, 63000 Clermont-Ferrand, France;
| | - Philippe Lacomme
- Laboratoire d’Informatique (LIMOS, UMR CNRS 6158), University Clermont Auvergne, 63000 Clermont-Ferrand, France; (S.M.); (G.F.); (P.L.)
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18
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Chan V, Davies A, Wellard-Cole L, Lu S, Ng H, Tsoi L, Tiscia A, Signal L, Rangan A, Gemming L, Allman-Farinelli M. Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App. Nutrients 2021; 13:nu13061806. [PMID: 34073378 PMCID: PMC8228902 DOI: 10.3390/nu13061806] [Citation(s) in RCA: 15] [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: 05/04/2021] [Revised: 05/17/2021] [Accepted: 05/24/2021] [Indexed: 01/02/2023] Open
Abstract
Technology-enhanced methods of dietary assessment may still face common limitations of self-report. This study aimed to assess foods and beverages omitted when both a 24 h recall and a smartphone app were used to assess dietary intake compared with camera images. For three consecutive days, young adults (18–30 years) wore an Autographer camera that took point-of-view images every 30 seconds. Over the same period, participants reported their diet in the app and completed daily 24 h recalls. Camera images were reviewed for food and beverages, then matched to the items reported in the 24 h recall and app. ANOVA (with post hoc analysis using Tukey Honest Significant Difference) and paired t-test were conducted. Discretionary snacks were frequently omitted by both methods (p < 0.001). Water was omitted more frequently in the app than in the camera images (p < 0.001) and 24 h recall (p < 0.001). Dairy and alternatives (p = 0.001), sugar-based products (p = 0.007), savoury sauces and condiments (p < 0.001), fats and oils (p < 0.001) and alcohol (p = 0.002) were more frequently omitted in the app than in the 24 h recall. The use of traditional self-report methods of assessing diet remains problematic even with the addition of technology and finding new objective methods that are not intrusive and are of low burden to participants remains a challenge.
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Affiliation(s)
- Virginia Chan
- Charles Perkins Centre, Nutrition and Dietetics Group, School of Life and Environmental Science, The University of Sydney, Camperdown, NSW 2006, Australia; (A.D.); (L.W.-C.); (S.L.); (H.N.); (L.T.); (A.T.); (A.R.); (L.G.); (M.A.-F.)
- Correspondence:
| | - Alyse Davies
- Charles Perkins Centre, Nutrition and Dietetics Group, School of Life and Environmental Science, The University of Sydney, Camperdown, NSW 2006, Australia; (A.D.); (L.W.-C.); (S.L.); (H.N.); (L.T.); (A.T.); (A.R.); (L.G.); (M.A.-F.)
| | - Lyndal Wellard-Cole
- Charles Perkins Centre, Nutrition and Dietetics Group, School of Life and Environmental Science, The University of Sydney, Camperdown, NSW 2006, Australia; (A.D.); (L.W.-C.); (S.L.); (H.N.); (L.T.); (A.T.); (A.R.); (L.G.); (M.A.-F.)
- Cancer Prevention and Advocacy Division, Cancer Council NSW, Woolloomooloo, NSW 2011, Australia
| | - Silvia Lu
- Charles Perkins Centre, Nutrition and Dietetics Group, School of Life and Environmental Science, The University of Sydney, Camperdown, NSW 2006, Australia; (A.D.); (L.W.-C.); (S.L.); (H.N.); (L.T.); (A.T.); (A.R.); (L.G.); (M.A.-F.)
| | - Hoi Ng
- Charles Perkins Centre, Nutrition and Dietetics Group, School of Life and Environmental Science, The University of Sydney, Camperdown, NSW 2006, Australia; (A.D.); (L.W.-C.); (S.L.); (H.N.); (L.T.); (A.T.); (A.R.); (L.G.); (M.A.-F.)
| | - Lok Tsoi
- Charles Perkins Centre, Nutrition and Dietetics Group, School of Life and Environmental Science, The University of Sydney, Camperdown, NSW 2006, Australia; (A.D.); (L.W.-C.); (S.L.); (H.N.); (L.T.); (A.T.); (A.R.); (L.G.); (M.A.-F.)
| | - Anjali Tiscia
- Charles Perkins Centre, Nutrition and Dietetics Group, School of Life and Environmental Science, The University of Sydney, Camperdown, NSW 2006, Australia; (A.D.); (L.W.-C.); (S.L.); (H.N.); (L.T.); (A.T.); (A.R.); (L.G.); (M.A.-F.)
| | - Louise Signal
- Health Promotion & Policy Research Unit, Department of Public Health, University of Otago, 6242 Wellington, New Zealand;
| | - Anna Rangan
- Charles Perkins Centre, Nutrition and Dietetics Group, School of Life and Environmental Science, The University of Sydney, Camperdown, NSW 2006, Australia; (A.D.); (L.W.-C.); (S.L.); (H.N.); (L.T.); (A.T.); (A.R.); (L.G.); (M.A.-F.)
| | - Luke Gemming
- Charles Perkins Centre, Nutrition and Dietetics Group, School of Life and Environmental Science, The University of Sydney, Camperdown, NSW 2006, Australia; (A.D.); (L.W.-C.); (S.L.); (H.N.); (L.T.); (A.T.); (A.R.); (L.G.); (M.A.-F.)
| | - Margaret Allman-Farinelli
- Charles Perkins Centre, Nutrition and Dietetics Group, School of Life and Environmental Science, The University of Sydney, Camperdown, NSW 2006, Australia; (A.D.); (L.W.-C.); (S.L.); (H.N.); (L.T.); (A.T.); (A.R.); (L.G.); (M.A.-F.)
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Dinnissen CS, Ocké MC, Buurma-Rethans EJM, van Rossum CTM. Dietary Changes among Adults in The Netherlands in the Period 2007-2010 and 2012-2016. Results from Two Cross-Sectional National Food Consumption Surveys. Nutrients 2021; 13:1520. [PMID: 33946365 PMCID: PMC8146163 DOI: 10.3390/nu13051520] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 04/26/2021] [Accepted: 04/27/2021] [Indexed: 11/22/2022] Open
Abstract
Insight into dietary trends is important for the development and evaluation of dietary policies. The aim of this study is to describe changes in dietary intakes of Dutch adults and to evaluate these changes by age, gender, and education. In 2007-2010 and 2012-2016, two national food consumption surveys were conducted including 2106 and 1540 adults, respectively. Data collection included two non-consecutive 24 h dietary recalls. Mean habitual intakes of foods and nutrients relevant for a healthy diet of both surveys were estimated. Between the two periods the mean consumption of red or processed meat, dairy, sodium and alcohol and the ratio of whole-grain to cereal products decreased by 4-30% and the consumption of fibre and unsaturated fatty acids increased by about 3% and 6%, respectively. For most food groups, changes in consumption were comparable for both sexes and in all age groups. A healthier consumption pattern and several favorable changes were observed among higher-educated people. Most, but not all, changes in food consumption are favorable from a public health point of view. However, there is still a large potential for further improvements. A healthier consumption pattern was observed in adults with a higher educational level which calls for attention to social disparities when developing dietary policies.
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Affiliation(s)
- Ceciel S. Dinnissen
- National Institute for Public Health and the Environment (RIVM), 3721 BA Bilthoven, The Netherlands; (M.C.O.); (E.J.M.B.-R.); (C.T.M.v.R.)
| | - Marga C. Ocké
- National Institute for Public Health and the Environment (RIVM), 3721 BA Bilthoven, The Netherlands; (M.C.O.); (E.J.M.B.-R.); (C.T.M.v.R.)
- Division of Human Nutrition and Health, Wageningen University and Research, 6708 WE Wageningen, The Netherlands
| | - Elly J. M. Buurma-Rethans
- National Institute for Public Health and the Environment (RIVM), 3721 BA Bilthoven, The Netherlands; (M.C.O.); (E.J.M.B.-R.); (C.T.M.v.R.)
| | - Caroline T. M. van Rossum
- National Institute for Public Health and the Environment (RIVM), 3721 BA Bilthoven, The Netherlands; (M.C.O.); (E.J.M.B.-R.); (C.T.M.v.R.)
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Barich F, Laamiri FZ, Mehdad S, Benaich S, Rami A, Idrissi M, Serbouti C, Lahmame H, Benkirane H, Rjimati M, Barkat A, Rjimati EA, Aguenaou H. Energy and Macronutrients Intakes among Childbearing Age Women Living in the Urban Area of Morocco: A Cross-Sectional Study. J Nutr Metab 2020; 2020:2685809. [PMID: 33005453 PMCID: PMC7508217 DOI: 10.1155/2020/2685809] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 08/07/2020] [Accepted: 08/27/2020] [Indexed: 01/01/2023] Open
Abstract
Over the last few decades, there have been significant dietary and lifestyle changes worldwide. In Morocco, these changes have led to serious nutritional disorders and increased risk of morbidity and mortality particularly among vulnerable groups such as women of childbearing age. We aimed to assess the average daily energy and macronutrient intakes and to investigate their association with socioeconomic factors and weight status among women aged 19-49 years in urban areas. A total of 542 women attending public health centers were recruited. Socioeconomic and demographic data were collected using a questionnaire. Anthropometric measurements were taken using standardized equipment. Food consumption data were obtained through the 24-hour dietary recall method, and the macronutrient composition of foods was estimated based on the Moroccan food composition table and the Nutrilog software. The average daily energy intake among the study population was 1591 kcal, composed of 56% from carbohydrates, 28% from fats, and 16% from protein. Reported energy intake by the majority of women (81.5%) was lower than recommended daily allowances for energy. There was a significant positive correlation between educational level and energy (p=0.001), carbohydrates (p=0.001), proteins (p=0.004), and fats intakes (p=0.032), respectively. A significant negative association of household size with protein intakes was also observed (p=0.034). Carbohydrates, proteins, and fats intakes tended to decrease; however, these associations were not statistically significant. Further studies and appropriate interventions are needed to address the trends in energy and macronutrients intakes in the development of policy initiatives aimed at nutrition education and chronic disease prevention among childbearing age women.
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Affiliation(s)
- Fatima Barich
- Joint Unit of Nutrition and Food Research, CNESTEN–Ibn Tofäιl University–URAC 39, Regional Designated Center for Nutrition (AFRA/IAEA), Rabat, Morocco
- Higher Institute of Nursing and Medical Professions, Rabat, Morocco
| | - Fatima Zahra Laamiri
- Mother and Child Couple Health and Nutrition Research Team, FMP de Rabat, Mohammed V University, Rabat, Morocco
- Health Sciences and Technology Laboratory, Higher Institute of Health Sciences of Settat, Hassan First University, Settat, Morocco
| | - Slimane Mehdad
- Physiology and Physiopathology Research Team, Faculty of Sciences, Mohammed V University, Rabat, Morocco
| | - Souad Benaich
- Physiology and Physiopathology Research Team, Faculty of Sciences, Mohammed V University, Rabat, Morocco
| | - Anass Rami
- Joint Unit of Nutrition and Food Research, CNESTEN–Ibn Tofäιl University–URAC 39, Regional Designated Center for Nutrition (AFRA/IAEA), Rabat, Morocco
| | - Mohamed Idrissi
- Joint Unit of Nutrition and Food Research, CNESTEN–Ibn Tofäιl University–URAC 39, Regional Designated Center for Nutrition (AFRA/IAEA), Rabat, Morocco
| | - Chaimae Serbouti
- Joint Unit of Nutrition and Food Research, CNESTEN–Ibn Tofäιl University–URAC 39, Regional Designated Center for Nutrition (AFRA/IAEA), Rabat, Morocco
| | - Houria Lahmame
- Joint Unit of Nutrition and Food Research, CNESTEN–Ibn Tofäιl University–URAC 39, Regional Designated Center for Nutrition (AFRA/IAEA), Rabat, Morocco
| | - Hasnae Benkirane
- Joint Unit of Nutrition and Food Research, CNESTEN–Ibn Tofäιl University–URAC 39, Regional Designated Center for Nutrition (AFRA/IAEA), Rabat, Morocco
| | - Manelle Rjimati
- Joint Unit of Nutrition and Food Research, CNESTEN–Ibn Tofäιl University–URAC 39, Regional Designated Center for Nutrition (AFRA/IAEA), Rabat, Morocco
| | - Amina Barkat
- Mother and Child Couple Health and Nutrition Research Team, FMP de Rabat, Mohammed V University, Rabat, Morocco
| | - El Arbi Rjimati
- Joint Unit of Nutrition and Food Research, CNESTEN–Ibn Tofäιl University–URAC 39, Regional Designated Center for Nutrition (AFRA/IAEA), Rabat, Morocco
- Higher Institute of Nursing and Medical Professions, Rabat, Morocco
| | - Hassan Aguenaou
- Joint Unit of Nutrition and Food Research, CNESTEN–Ibn Tofäιl University–URAC 39, Regional Designated Center for Nutrition (AFRA/IAEA), Rabat, Morocco
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Intentional weight gain efforts among young Canadian adults aged 17-32 years. Eat Behav 2020; 38:101407. [PMID: 32693348 DOI: 10.1016/j.eatbeh.2020.101407] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Revised: 05/19/2020] [Accepted: 06/12/2020] [Indexed: 11/22/2022]
Abstract
Research related to body weight management often focuses on weight loss but attempts to gain weight may be common given societal ideals related to body shape and size. The objectives of this study were to examine the prevalence and correlates of intentional weight gain attempts and to characterize weight gain strategies reported among young Canadian adults. Cross-sectional data were drawn from a 2017 online survey of young adults, aged 17 to 32 years, recruited from five large cities (n=976, 493 men and 483 women). The prevalence of weight gain attempts and specific strategies used were estimated, with multivariable logistic regression used to examine correlates of intent to gain weight. Over one in five men (23.1%) and approximately one in twenty women (6.0%) reported attempting to gain weight in the past 12 months. Men, those who perceived themselves as underweight (compared to "just about right"), and those who reported one or more racial/ethnic identity or did not state their race/ethnicity (compared to white only) had higher odds of reporting attempting to gain weight. Individuals who perceived themselves as overweight or who self-reported heights and weights corresponding to a BMI between 25 and 29.9 had lower odds of reporting attempting to gain weight. Those attempting to gain weight reported using three strategies on average, with the most prevalent among both men and women including eating more overall, eating more protein, and exercising/weightlifting. The results suggest that, while less common than dieting, weight gain attempts are not rare, especially among young men.
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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: 26] [Impact Index Per Article: 5.2] [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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Validation of a new software eAT24 used to assess dietary intake in the adult Portuguese population. Public Health Nutr 2020; 23:3093-3103. [PMID: 32611472 DOI: 10.1017/s1368980020001044] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE The aim of the current study was to evaluate the accuracy of the new software eAT24 used to assess dietary intake in the National Food, Nutrition and Physical Activity Survey (IAN-AF) against urinary biomarkers: N (nitrogen), K (potassium) and Na (sodium). DESIGN We conducted a cross-sectional study. Two non-consecutive 24-h dietary recalls (24-HDR) were applied, and a 24-h urine sample was collected. We examined differences between estimates from dietary and urine measures, Pearson correlation coefficients were calculated and the Bland-Altman plots were drawn. Multiple linear regression was used to evaluate the factors associated with the difference between estimates. SETTING Sub-sample from the Portuguese IAN-AF sampling frame. PARTICIPANTS Ninety-five adults (men and women) aged 18-84 years. RESULTS The estimated intake calculated using the dietary recall data was lower than that estimated from urinary excretion for the three biomarkers studied (protein 94·3 v. 100·4 g/d, K 3212 v. 3416 mg/d and Na 3489 v. 4003 mg/d). Considering 2 d of recall, the deattenuated correlation coefficients were 0·33, 0·64 and 0·26 for protein, K and Na, respectively. For protein, differences between dietary and urinary estimates varied according to BMI (β = -1·96, P = 0·017). The energy intake and 24-h urine volume were significantly associated with the difference between estimates for protein (β = 0·03, P < 0·001 and β = -0·02, P = 0·002, respectively), K (β = 0·71, P < 0·001 and β = -0·42, P = 0·040, respectively) and Na (β = 1·55, P < 0·001 and β = -0·81, P = 0·011, respectively). CONCLUSIONS The new software eAT24 performed well in estimating protein and K intakes, but lesser so in estimating Na intake, using two non-consecutive 24-HDR.
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Preoccupation with Body Weight and Under-Reporting of Energy Intake in Female Japanese Nutrition Students. Nutrients 2020; 12:nu12030830. [PMID: 32244995 PMCID: PMC7146226 DOI: 10.3390/nu12030830] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 03/18/2020] [Accepted: 03/18/2020] [Indexed: 02/03/2023] Open
Abstract
The present study aimed to examine associations between body image and under-reporting in female Japanese university students enrolled in a nutrition degree program. A total of 100 participants (aged 18-29 years) completed (1) a self-administered questionnaire including the Ben-Tovim Walker Body Attitudes Questionnaire (BAQ), (2) a dietary assessment using a brief-type self-administered diet history questionnaire (BDHQ), (3) a physical activity assessment using Bouchard's Physical Activity Record (BAR) and a tri-axial accelerometer, (4) detailed anthropometry, and (5) body composition assessment. Based on the energy intake to basal metabolic rate ratio (EI:BMR) and using a cut-off point of 1.35, 67% of participants were considered under-reporters (URs). While there was no between-group difference in BMI, URs had significantly (p < 0.05) greater percentage body fat (%BF) and trunk fat (%TF) compared with non-URs. Regression analyses indicated accuracy of body perception and a discrepancy between current and ideal weight were associated with EI:BMR, whereas the salience subscale of the BAQ was associated with reported EI. The study raises concerns regarding the validity of EI reported from young Japanese females as they are known to have a strong preoccupation with thinness, even with an acceptable BMI and health and nutritional knowledge.
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Cross-sectional association between diet quality and cardiometabolic risk by education level in Mexican adults. Public Health Nutr 2019; 23:264-274. [PMID: 31282318 DOI: 10.1017/s1368980019001678] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Understanding the association between diet quality and cardiometabolic risk by education level is important for preventing increased cardiometabolic risk in the Mexican population, especially considering pre-existing disparities in diet quality. The present study examined the cross-sectional association of overall diet quality with cardiometabolic risk, overall and by education level, among Mexican men and women. DESIGN Cardiometabolic risk was defined by using biomarkers and diet quality by the Mexican Diet Quality Index. We computed sex-specific multivariable logistic regression models. SETTING Mexico. PARTICIPANTS Mexican men (n 634) and women (n 875) participating in the Mexican National Health and Nutrition Survey 2012. RESULTS We did not find associations of diet quality with cardiometabolic risk factors in the total sample or in men by education level. However, we observed that for each 10-unit increase in the dietary quality score, the odds of diabetes risk in women with no reading/writing skills was 0·47 (95 % CI 0·26, 0·85) relative to the odds in women with ≥10 years of school (referent). Similarly, for each 10-unit increase of the dietary quality score, the odds of having three v. no lipid biomarker level beyond the risk threshold in lower-educated women was 0·27 (95 % CI 0·12, 0·63) relative to the odds in higher-educated women. CONCLUSIONS Diet quality has a stronger protective association with some cardiometabolic disease risk factors for lower- than higher-educated Mexican women, but no association with cardiometabolic disease risk factors among men. Future research will be needed to understand what diet factors could be influencing the cardiometabolic disease risk disparities in this population.
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Vivarini P, Kerr JA, Clifford SA, Grobler AC, Jansen PW, Mensah FK, Baur LA, Gibbons K, Wake M. Food choices: concordance in Australian children aged 11-12 years and their parents. BMJ Open 2019; 9:147-156. [PMID: 31273025 PMCID: PMC6624032 DOI: 10.1136/bmjopen-2017-020898] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 10/05/2018] [Accepted: 04/04/2019] [Indexed: 12/03/2022] Open
Abstract
OBJECTIVES Snack foods-typically high in salt, sugar, fat and/or energy-are likely important to the obesity epidemic. In the context of a population-based health assessment involving parent-child dyads at child age 11-12 years, we report cross-generational concordance in intake at a controlled snack food observation. DESIGN Cross-sectional study (Child Health CheckPoint), nested within the Longitudinal Study of Australian Children. SETTING Assessment centres in seven Australian cities, February 2015-March 2016. PARTICIPANTS Of all participating CheckPoint families (n=1874), 1299 children (50.3% girls) and 1274 parents (85.9% mothers) with snack data were included. Survey weights and methods were applied to account for the clustered multistage sample design. OUTCOME MEASURES Partway through the 3.5-hour assessment, parents and children attended Food Stop separately for a timed 15 min 'snack break'. One of four standardised box size/content combinations was randomly provided to all participants on any given day. Total food mass, energy, nutrients and sodium consumed was measured to the nearest 1 g. Pearson's correlation coefficients and adjusted multivariable linear regression models assessed parent-child concordance in each variable. RESULTS Children consumed less grams (151 g [SD 80] vs 165 g [SD 79]) but more energy (1393 kJ [SD 537] vs 1290 kJ [SD 658]) than parents. Parent-child concordance coefficients were small, ranging from 0.07 for sodium intake to 0.17 for carbohydrate intake. Compared with children with parents' energy intake on the 10th centile, children whose parents were on the 90th centile ate on average 227 kJ more. If extrapolated to one similar unsupervised snack on a daily basis, this equates to an additional 83 050 kJ per year, which could have a cumulative impact on additional body fat. CONCLUSIONS Although modest at an individual level, this measured parent-child concordance in unsupervised daily snack situations could account for substantial annual population differences in energy, fat and sodium intake for children aged 11-12 years. TRIAL REGISTRATION NUMBER ISRCTN12538380.
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Affiliation(s)
- Prudence Vivarini
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
| | - Jessica A Kerr
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Susan A Clifford
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Anneke C Grobler
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Pauline W Jansen
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Rotterdam, The Netherlands
- Department of Psychology, Education and Child Studies, Erasmus University, Rotterdam, The Netherlands
| | - Fiona K Mensah
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Louise A Baur
- Discipline of Child and Adolescent Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Kay Gibbons
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Institute of Health and Sport, Victoria University, Melbourne, Victoria, Australia
| | - Melissa Wake
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
- Department of Paediatrics and Liggins Institute, University of Auckland, Auckland, New Zealand
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Bouzas C, Bibiloni MDM, Tur JA. Relationship between Body Image and Body Weight Control in Overweight ≥55-Year-Old Adults: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16091622. [PMID: 31075869 PMCID: PMC6540116 DOI: 10.3390/ijerph16091622] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 04/27/2019] [Accepted: 05/07/2019] [Indexed: 12/15/2022]
Abstract
Objective: To assess the scientific evidence on the relationship between body image and body weight control in overweight ≥55-year-old adults. Methods: The literature search was conducted on MEDLINE database via PubMed, using terms related to body image, weight control and body composition. Inclusion criteria were scientific papers, written in English or Spanish, made on older adults. Exclusion criteria were eating and psychological disorders, low sample size, cancer, severe diseases, physiological disorders other than metabolic syndrome, and bariatric surgery. Results: Fifty-seven studies were included. Only thirteen were conducted exclusively among ≥55-year-old adults or performed analysis adjusted by age. Overweight perception was related to spontaneous weight management, which usually concerned dieting and exercising. More men than women showed over-perception of body image. Ethnics showed different satisfaction level with body weight. As age increases, conformism with body shape, as well as expectations concerning body weight decrease. Misperception and dissatisfaction with body weight are risk factors for participating in an unhealthy lifestyle and make it harder to follow a healthier lifestyle. Body image disturbance also made it more likely to underreport calorie intake. Conclusions: Aging is associated with a decrease in weight concerns and lower overweight perception, especially in women. However, when designing a program to improve body image in overweight ≥55-year-old adults, three items ought to be considered: physical activity, dietary and behavioral treatments.
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Affiliation(s)
- Cristina Bouzas
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands & CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), E-07122 Palma de Mallorca, Spain.
| | - Maria Del Mar Bibiloni
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands & CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), E-07122 Palma de Mallorca, Spain.
| | - Josep A Tur
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands & CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), E-07122 Palma de Mallorca, Spain.
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Ferreira-Nunes PM, Papini SJ, Corrente JE. Eating patterns and nutrient intake for older people: analysis with different methodological approaches. CIENCIA & SAUDE COLETIVA 2018; 23:4085-4094. [PMID: 30539993 DOI: 10.1590/1413-812320182312.28552016] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Accepted: 11/11/2016] [Indexed: 11/22/2022] Open
Abstract
This study aims to analyse the eating patterns and nutrient intake in different eating patterns of elderly persons. This is a cross-sectional study with elderly people from Botucatu, São Paulo state, Brazil. The mean daily nutrient intake of individuals with high adherence to the eating patterns identified by factor analysis was analysed, comparing the intake by analysis of variance. Individuals with high adherence to the Healthy eating pattern had the highest mean intake of retinol, vitamin A and vitamin E. Individuals with high adherence to the eating pattern Snacks and weekend meal presented lower means of vitamin B12, vitamin C, phosphorus, and retinol intake and the highest means of iron, manganese and magnesium intake. Individuals with high adherence to Fruits had the lowest mean fibre intake. Individuals with high adherence to Light and whole foods had the highest means of vitamin C intake. Individuals with high adherence to Soft diet showed lower protein intake and increased added sugar intake. Individuals with high adherence to the Traditional eating pattern presented high means of nutrient intake. In general, a better characterization of the eating behaviour of elderly people who adhere to each of these eating patterns was possible.
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Affiliation(s)
| | - Silvia Justina Papini
- Departamento de Enfermagem, Faculdade de Medicina de Botucatu, Universidade Estadual Paulista (Unesp). Botucatu SP Brasil
| | - José Eduardo Corrente
- Departamento de Bioestatística, Instituto de Biociências de Botucatu, Unesp. Botucatu SP Brasil
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Teufel-Shone NI, Jiang L, Rockell J, Chang J, Beals J, Bullock A, Manson SM. Food choices and distress in reservation-based American Indians and Alaska Natives with type 2 diabetes. Public Health Nutr 2018; 21:2367-2375. [PMID: 29681247 PMCID: PMC6542635 DOI: 10.1017/s1368980018000897] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2017] [Revised: 02/23/2018] [Accepted: 03/12/2018] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To examine the association between food choice and distress in a large national sample of American Indians/Alaska Natives (AI/AN) with type 2 diabetes. DESIGN Participants completed a sociodemographic survey, an FFQ and the Kessler-6 Distress Scale. Foods were identified as 'healthy' or 'unhealthy' using a classification grounded in the health education provided by the programme case managers; healthy and unhealthy food scores were calculated using reported intake frequencies. Pearson's correlation coefficients for distress and food scores were calculated for all participants and by gender. Multiple linear regression models stratified by gender assessed the association between distress and food scores, controlling for sociodemographics and duration of type 2 diabetes. SETTING Rural AI reservations and AN villages. SUBJECTS AI/AN (n 2484) with type 2 diabetes. RESULTS Both males (34·9 %) and females (65·1 %) had higher healthy food scores than unhealthy scores. In bivariate analysis, distress level had a significant negative correlation with healthy food scores among female participants, but the association was not significant among males. Significant positive correlations between distress and unhealthy food scores were found in both genders. In the final multivariate models, healthy food scores were not significantly related to distress; however, unhealthy food scores showed significant positive relationships with distress for both genders (females: β=0·078, P=0·0007; males: β=0·139, P<0·0001). CONCLUSIONS Health professionals working with AI/AN diagnosed with type 2 diabetes should offer food choice strategies during difficult times and recognize that males may be more likely than females to select unhealthy foods when distressed.
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Affiliation(s)
- Nicolette I Teufel-Shone
- Department of Health Sciences and Center for Health Equity Research, PO Box 4065, ARD Building, Suite 120, Northern Arizona University, Flagstaff, AZ 86011, USA
| | - Luohua Jiang
- Department of Epidemiology, University of California, Irvine, CA, USA
| | - Jennifer Rockell
- Centers for American Indian and Alaska Native Health, University of Colorado Anschutz Medical Center, Aurora, CO, USA
| | - Jennifer Chang
- Department of Epidemiology, University of California, Irvine, CA, USA
| | - Janette Beals
- Centers for American Indian and Alaska Native Health, University of Colorado Anschutz Medical Center, Aurora, CO, USA
| | - Ann Bullock
- Division of Diabetes Treatment and Prevention, Indian Health Service, Rockville, MD, USA
| | - Spero M Manson
- Centers for American Indian and Alaska Native Health, University of Colorado Anschutz Medical Center, Aurora, CO, USA
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Trijsburg L, Geelen A, Hollman PCH, Hulshof PJM, Feskens EJM, van’t Veer P, Boshuizen HC, de Vries JHM. BMI was found to be a consistent determinant related to misreporting of energy, protein and potassium intake using self-report and duplicate portion methods. Public Health Nutr 2017; 20:598-607. [PMID: 27724995 PMCID: PMC10261408 DOI: 10.1017/s1368980016002743] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Revised: 08/26/2016] [Accepted: 09/02/2016] [Indexed: 12/22/2022]
Abstract
OBJECTIVE As misreporting, mostly under-reporting, of dietary intake is a generally known problem in nutritional research, we aimed to analyse the association between selected determinants and the extent of misreporting by the duplicate portion method (DP), 24 h recall (24hR) and FFQ by linear regression analysis using the biomarker values as unbiased estimates. DESIGN For each individual, two DP, two 24hR, two FFQ and two 24 h urinary biomarkers were collected within 1·5 years. Also, for sixty-nine individuals one or two doubly labelled water measurements were obtained. The associations of basic determinants (BMI, gender, age and level of education) with misreporting of energy, protein and K intake of the DP, 24hR and FFQ were evaluated using linear regression analysis. Additionally, associations between other determinants, such as physical activity and smoking habits, and misreporting were investigated. SETTING The Netherlands. SUBJECTS One hundred and ninety-seven individuals aged 20-70 years. RESULTS Higher BMI was associated with under-reporting of dietary intake assessed by the different dietary assessment methods for energy, protein and K, except for K by DP. Men tended to under-report protein by the DP, FFQ and 24hR, and persons of older age under-reported K but only by the 24hR and FFQ. When adjusted for the basic determinants, the other determinants did not show a consistent association with misreporting of energy or nutrients and by the different dietary assessment methods. CONCLUSIONS As BMI was the only consistent determinant of misreporting, we conclude that BMI should always be taken into account when assessing and correcting dietary intake.
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Affiliation(s)
- Laura Trijsburg
- Division of Human Nutrition, Wageningen University, PO Box 8129, 6700 EV Wageningen, The Netherlands
| | - Anouk Geelen
- Division of Human Nutrition, Wageningen University, PO Box 8129, 6700 EV Wageningen, The Netherlands
| | - Peter CH Hollman
- Division of Human Nutrition, Wageningen University, PO Box 8129, 6700 EV Wageningen, The Netherlands
| | - Paul JM Hulshof
- Division of Human Nutrition, Wageningen University, PO Box 8129, 6700 EV Wageningen, The Netherlands
| | - Edith JM Feskens
- Division of Human Nutrition, Wageningen University, PO Box 8129, 6700 EV Wageningen, The Netherlands
| | - Pieter van’t Veer
- Division of Human Nutrition, Wageningen University, PO Box 8129, 6700 EV Wageningen, The Netherlands
| | - Hendriek C Boshuizen
- Division of Human Nutrition, Wageningen University, PO Box 8129, 6700 EV Wageningen, The Netherlands
- Biometris, Wageningen University, Wageningen, The Netherlands
| | - Jeanne HM de Vries
- Division of Human Nutrition, Wageningen University, PO Box 8129, 6700 EV Wageningen, The Netherlands
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Wang ML, Haughton CF, Frisard C, Pbert L, Geer C, Lemon SC. Perceived weight status and weight change among a U.S. adult sample. Obesity (Silver Spring) 2017; 25:223-228. [PMID: 27863126 PMCID: PMC5182114 DOI: 10.1002/oby.21685] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Revised: 08/08/2016] [Accepted: 08/09/2016] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Examine bidirectional associations between weight perception and weight change over time among adults. METHODS Data are from adult employees (N = 623) across 12 U.S. public high schools participating in a cluster-randomized multilevel weight gain prevention intervention. Data were collected at baseline, 12 months, and 24 months. Perceived weight status (very/somewhat underweight, just right, somewhat overweight, very overweight) were obtained via self-administered surveys. Weight (kg) was measured by trained staff. Change in weight was calculated as the difference between baseline weight and weight at each follow-up time point. Structural equation models were used to assess bidirectional associations of perceived weight status and change in weight over time. Models were adjusted for study condition, gender, age, race/ethnicity, education level, and previous time point. RESULTS The sample was 65% female with a mean age of 44.6 (SD = 11.3). Nearly two thirds of the sample consisted of people with overweight (38.8%) or obesity (27.3%). Structural equation models indicated that baseline weight predicted subsequent perceived weight status (β = 0.26; P < 0.001), whereas baseline perceived weight status did not predict subsequent change in weight, adjusting for previous time point and covariates. CONCLUSIONS Results do not support bidirectional causality between weight perception and weight change in an adult sample.
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Affiliation(s)
- Monica L. Wang
- Department of Community Health Sciences, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Christina F. Haughton
- UMass Worcester Prevention Research Center, Division of Preventive and Behavioral Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Christine Frisard
- UMass Worcester Prevention Research Center, Division of Preventive and Behavioral Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Lori Pbert
- UMass Worcester Prevention Research Center, Division of Preventive and Behavioral Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Christine Geer
- Department of Community Health Sciences, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Stephenie C. Lemon
- UMass Worcester Prevention Research Center, Division of Preventive and Behavioral Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA
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Social Desirability Trait: Biaser or Driver of Self-Reported Dietary Intake? J Acad Nutr Diet 2016; 116:1895-1898. [DOI: 10.1016/j.jand.2016.08.007] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2016] [Accepted: 08/03/2016] [Indexed: 10/21/2022]
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Rocks T, Pelly F, Slater G, Martin LA. The relationship between dietary intake and energy availability, eating attitudes and cognitive restraint in students enrolled in undergraduate nutrition degrees. Appetite 2016; 107:406-414. [PMID: 27567549 DOI: 10.1016/j.appet.2016.08.105] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 08/18/2016] [Accepted: 08/18/2016] [Indexed: 12/13/2022]
Abstract
The aim of this research was to explore the relationship of total energy and macronutrient intake, energy balance and energy availability to eating attitudes and cognitive restraint in students enrolled in undergraduate nutrition degrees. Energy and micronutrient intake was assessed in 63 students (n = 50 nutrition, and n = 13 occupation therapy degrees; n = 51 females, n = 12 males) using three 24-h dietary recalls. Energy requirements were calculated based on measured resting metabolic rate, estimated exercise energy expenditure, and dietary induced thermogenesis. Body composition was assessed using dual energy x-ray absorptiometry. Eating attitudes and cognitive restraint were measured using previously validated tools. Eighteen percent of nutrition students were classified as having low energy availability (<30 kcal kgFFM-1d-1) and 38% were in negative energy balance. Eating attitudes and cognitive restraint were not associated with total energy or macronutrient intake. However, female nutrition students with high cognitive restraint had greater exercise energy expenditure and thus lower energy availability than those with low cognitive restraint (371 (302) kcal d-1 compared to 145 (206) kcal d-1, P < 0.01, and 35 (7) kcal d-1 compared to 41 (10) kcal d-1 of fat free mass, P = 0.005). Additionally, in females, disordered eating attitudes and cognitive restraint negatively correlated with energy availability (rs = -0.37, P = 0.02 and rs = -0.51, P < 0.01 respectively). There were no differences in outcomes between nutrition and non-nutrition students. The current study suggests that those students with disordered eating attitudes and cognitive restraint may be controlling their energy balance through exercise, as opposed to restricting food intake.
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Affiliation(s)
- Tetyana Rocks
- School of Health and Sport Sciences, Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Maroochydore DC, Queensland, 4558 Australia.
| | - Fiona Pelly
- School of Health and Sport Sciences, Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Maroochydore DC, Queensland, 4558 Australia.
| | - Gary Slater
- School of Health and Sport Sciences, Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Maroochydore DC, Queensland, 4558 Australia.
| | - Lisa Anne Martin
- School of Health and Sport Sciences, Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Maroochydore DC, Queensland, 4558 Australia.
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Głąbska D, Włodarek D, Kołota A, Czekajło A, Drozdzowska B, Pluskiewicz W. Assessment of mineral intake in the diets of Polish postmenopausal women in relation to their BMI-the RAC-OST-POL study : Mineral intake in relation to BMI. JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2016; 35:23. [PMID: 27484324 PMCID: PMC5025999 DOI: 10.1186/s41043-016-0061-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2015] [Accepted: 07/25/2016] [Indexed: 05/08/2023]
Abstract
BACKGROUND The diets of postmenopausal women in Western countries tend to be deficient in minerals, even if the energy value is at the recommended level. The objective of the presented population-based cohort study was to assess the intake of minerals (sodium, potassium, calcium, phosphorus, magnesium, iron, zinc and copper) in the diets of women aged above 55 years and to analyse the relations between BMI and mineral intake in this group. METHODS The study was conducted in a group of 406 women who were randomly recruited from the general population of those aged above 55 years. The main outcome measures included BMI, reported sodium, potassium, calcium, phosphorus, magnesium, iron, zinc and copper intake assessed by dietary record (conducted during two typical, non-consecutive days). The distribution was verified with the use of the Shapiro-Wilk test. The comparison between groups was conducted using ANOVA with the LSD post hoc test or Kruskal-Wallis ANOVA with multiple comparisons. A comparison of satisfying nutritional needs was conducted using the chi-square test. RESULTS Normal body weight individuals were characterised by lower sodium intake per 1000 kcal of diet than obese class II and III individuals (BMI ≥ 35.0 kg/m(2)). Overweight individuals were characterised by lower potassium and magnesium intake per 1000 kcal of diet than obese class I individuals (BMIϵ < 30.0; 35.0 kg/m(2)). The majority of individuals was characterised by insufficient potassium, calcium and magnesium intake. No differences in satisfying nutritional needs between BMI groups were observed for all minerals. CONCLUSIONS Following an improperly balanced diet was observed in the group of postmenopausal female individuals analysed. It was stated that the daily intake of all the assessed minerals was not BMI-dependent for the postmenopausal female individuals, but the nutrient density of diet (for sodium, potassium and magnesium) was associated with BMI.
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Affiliation(s)
- Dominika Głąbska
- Department of Dietetics, Faculty of Human Nutrition and Consumer Sciences, Warsaw University of Life Sciences-SGGW, 159c Nowoursynowska Street, 02-776 Warsaw, Poland
| | - Dariusz Włodarek
- Department of Dietetics, Faculty of Human Nutrition and Consumer Sciences, Warsaw University of Life Sciences-SGGW, 159c Nowoursynowska Street, 02-776 Warsaw, Poland
| | - Aleksandra Kołota
- Department of Dietetics, Faculty of Human Nutrition and Consumer Sciences, Warsaw University of Life Sciences-SGGW, 159c Nowoursynowska Street, 02-776 Warsaw, Poland
| | | | - Bogna Drozdzowska
- Department of Pathomorphology, Medical University of Silesia, Katowice, Poland
| | - Wojciech Pluskiewicz
- Metabolic Bone Diseases Unit, Department and Clinic of Internal Diseases, Diabetology and Nephrology, Medical University of Silesia, Katowice, Poland
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Wright H, Ford R, Botha C. A desire for weight loss in season increases disordered eating behaviour risk and energy deficiency in athletes. SOUTH AFRICAN JOURNAL OF CLINICAL NUTRITION 2016. [DOI: 10.1080/16070658.2014.11734500] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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36
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Tyrovolas S, Koyanagi A, Stickley A, Haro JM. Weight Perception, Satisfaction, Control, and Low Energy Dietary Reporting in the US Adult Population: Results from the National Health and Nutrition Examination Survey 2007-2012. J Acad Nutr Diet 2016; 116:579-89. [DOI: 10.1016/j.jand.2015.09.022] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Accepted: 09/29/2015] [Indexed: 10/22/2022]
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Antonio J, Ellerbroek A, Silver T, Vargas L, Peacock C. The effects of a high protein diet on indices of health and body composition--a crossover trial in resistance-trained men. J Int Soc Sports Nutr 2016; 13:3. [PMID: 26778925 PMCID: PMC4715299 DOI: 10.1186/s12970-016-0114-2] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Accepted: 01/12/2016] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Eight weeks of a high protein diet (>3 g/kg/day) coupled with a periodized heavy resistance training program has been shown to positively affect body composition with no deleterious effects on health. Using a randomized, crossover design, resistance-trained male subjects underwent a 16-week intervention (i.e., two 8-week periods) in which they consumed either their normal (i.e., habitual) or a higher protein diet (>3 g/kg/day). Thus, the purpose of this study was to ascertain if significantly increasing protein intake would affect clinical markers of health (i.e., lipids, kidney function, etc.) as well as performance and body composition in young males with extensive resistance training experience. METHODS Twelve healthy resistance-trained men volunteered for this study (mean ± SD: age 25.9 ± 3.7 years; height 178.0 ± 8.5 cm; years of resistance training experience 7.6 ± 3.6) with 11 subjects completing most of the assessments. In a randomized crossover trial, subjects were tested at baseline and after two 8-week treatment periods (i.e., habitual [normal] diet and high protein diet) for body composition, measures of health (i.e., blood lipids, comprehensive metabolic panel) and performance. Each subject maintained a food diary for the 16-week treatment period (i.e., 8 weeks on their normal or habitual diet and 8 weeks on a high protein diet). Each subject provided a food diary of two weekdays and one weekend day per week. In addition, subjects kept a diary of their training regimen that was used to calculate total work performed. RESULTS During the normal and high protein phase of the treatment period, subjects consumed 2.6 ± 0.8 and 3.3 ± 0.8 g/kg/day of dietary protein, respectively. The mean protein intake over the 4-month period was 2.9 ± 0.9 g/kg/day. The high protein group consumed significantly more calories and protein (p < 0.05) than the normal protein group. There were no differences in dietary intake between the groups for any other measure. Moreover, there were no significant changes in body composition or markers of health in either group. There were no side effects (i.e., blood lipids, glucose, renal, kidney function etc.) regarding high protein consumption. CONCLUSION In resistance-trained young men who do not significantly alter their training regimen, consuming a high protein diet (2.6 to 3.3 g/kg/day) over a 4-month period has no effect on blood lipids or markers of renal and hepatic function. Nor were there any changes in performance or body composition. This is the first crossover trial using resistance-trained subjects in which the elevation of protein intake to over four times the recommended dietary allowance has shown no harmful effects.
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Affiliation(s)
- Jose Antonio
- Exercise and Sports Sciences, Nova Southeastern University, 3532 S. University Drive, University Park Plaza Suite 3532, Davie, FL 33314 USA
| | - Anya Ellerbroek
- Exercise and Sports Sciences, Nova Southeastern University, 3532 S. University Drive, University Park Plaza Suite 3532, Davie, FL 33314 USA
| | - Tobin Silver
- Exercise and Sports Sciences, Nova Southeastern University, 3532 S. University Drive, University Park Plaza Suite 3532, Davie, FL 33314 USA
| | - Leonel Vargas
- Exercise and Sports Sciences, Nova Southeastern University, 3532 S. University Drive, University Park Plaza Suite 3532, Davie, FL 33314 USA
| | - Corey Peacock
- Exercise and Sports Sciences, Nova Southeastern University, 3532 S. University Drive, University Park Plaza Suite 3532, Davie, FL 33314 USA
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Subar AF, Freedman LS, Tooze JA, Kirkpatrick SI, Boushey C, Neuhouser ML, Thompson FE, Potischman N, Guenther PM, Tarasuk V, Reedy J, Krebs-Smith SM. Addressing Current Criticism Regarding the Value of Self-Report Dietary Data. J Nutr 2015; 145:2639-45. [PMID: 26468491 PMCID: PMC4656907 DOI: 10.3945/jn.115.219634] [Citation(s) in RCA: 715] [Impact Index Per Article: 71.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 09/14/2015] [Indexed: 12/30/2022] Open
Abstract
Recent reports have asserted that, because of energy underreporting, dietary self-report data suffer from measurement error so great that findings that rely on them are of no value. This commentary considers the amassed evidence that shows that self-report dietary intake data can successfully be used to inform dietary guidance and public health policy. Topics discussed include what is known and what can be done about the measurement error inherent in data collected by using self-report dietary assessment instruments and the extent and magnitude of underreporting energy compared with other nutrients and food groups. Also discussed is the overall impact of energy underreporting on dietary surveillance and nutritional epidemiology. In conclusion, 7 specific recommendations for collecting, analyzing, and interpreting self-report dietary data are provided: (1) continue to collect self-report dietary intake data because they contain valuable, rich, and critical information about foods and beverages consumed by populations that can be used to inform nutrition policy and assess diet-disease associations; (2) do not use self-reported energy intake as a measure of true energy intake; (3) do use self-reported energy intake for energy adjustment of other self-reported dietary constituents to improve risk estimation in studies of diet-health associations; (4) acknowledge the limitations of self-report dietary data and analyze and interpret them appropriately; (5) design studies and conduct analyses that allow adjustment for measurement error; (6) design new epidemiologic studies to collect dietary data from both short-term (recalls or food records) and long-term (food-frequency questionnaires) instruments on the entire study population to allow for maximizing the strengths of each instrument; and (7) continue to develop, evaluate, and further expand methods of dietary assessment, including dietary biomarkers and methods using new technologies.
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Affiliation(s)
- Amy F Subar
- Divisions of Cancer Control and Population Sciences and
| | - Laurence S Freedman
- Biostatistics Unit, Gertner Institute for Epidemiology and Health Policy Research, Tel Hashomer, Israel
| | | | - Sharon I Kirkpatrick
- School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada
| | - Carol Boushey
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Marian L Neuhouser
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Nancy Potischman
- Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Patricia M Guenther
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT; and
| | - Valerie Tarasuk
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Jill Reedy
- Divisions of Cancer Control and Population Sciences and
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Stice E, Palmrose CA, Burger KS. Elevated BMI and Male Sex Are Associated with Greater Underreporting of Caloric Intake as Assessed by Doubly Labeled Water. J Nutr 2015; 145:2412-8. [PMID: 26338886 PMCID: PMC4580962 DOI: 10.3945/jn.115.216366] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Accepted: 08/03/2015] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Inaccuracies in energy intake (EI) measurement hinder identification of risk factors that predict weight gain and evaluation of obesity prevention and treatment interventions. Research has used objective measures of EI to identify underreporting correlates, producing mixed results, suggesting the need to examine novel potential correlates. OBJECTIVE With the use of an objective measure of EI from doubly labeled water (DLW) this report examined multiple potential underreporting correlates. METHODS Adolescents from 2 studies (study 1, n = 91; mean age: 18.4 ± 0.58 y; 100% female; study 2, n = 162; mean age: 15.2 ± 1.99 y; 82 female adolescents; 80 male adolescents) completed a DLW assessment of EI, a food-frequency questionnaire, and measures of perceived pressure for thinness, thin-ideal internalization, body dissatisfaction, dieting, food-cue reactivity, eating disorder symptoms, socioeconomic status, and neural response to food; BMI (in kg/m(2)) was measured over a 2-y follow-up. RESULTS Elevated BMI correlated with underreported EI in study 1 (r = 0.26, P < 0.05) and study 2 (r = 0.20, P = 0.01), as did male sex in study 2 (r = 0.24, P < 0.01); the other survey measures did not. Underreporting correlated negatively (r = -0.29; uncorr P < 0.001) with responsivity of brain regions implicated in motor control to palatable food receipt and positively (r = 0.31; uncorr P < 0.001) with responsivity of a region implicated in taste processing to cues signaling impending milkshake receipt. Underreporting did not predict future change in BMI in either study. CONCLUSIONS Findings document marked underreporting and replicate evidence that BMI correlates positively with underreporting and extends this literature by revealing that several novel factors were unrelated to underreporting and further that neural responsivity to food correlated with underreporting, suggesting that adolescents who showed reduced responsivity in a motor control region to food receipt and elevated responsivity of gustatory regions to anticipated palatable food receipt showed greater underreporting. This trial was registered at clinicaltrials.gov as NCT00433680 and NCT02084836.
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Affiliation(s)
- Eric Stice
- Oregon Research Institute, Eugene, OR; and
| | | | - Kyle S Burger
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Robinson E, Hardman CA, Halford JCG, Jones A. Eating under observation: a systematic review and meta-analysis of the effect that heightened awareness of observation has on laboratory measured energy intake. Am J Clin Nutr 2015; 102:324-37. [PMID: 26178730 DOI: 10.3945/ajcn.115.111195] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Accepted: 05/19/2015] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Laboratory paradigms are commonly used to study human energy intake. However, the extent to which participants believe their eating behavior is being measured may affect energy intake and is a methodologic factor that has received little consideration. OBJECTIVE Our main objective was to examine available evidence for the effect that heightened awareness of observation has on energy intake in a laboratory setting. DESIGN We systematically reviewed laboratory studies that allowed for experimental examination of the effect that heightened awareness of observation has on energy intake. From these experimental studies we combined effect estimates using inverse variance meta-analysis, calculating the standardized mean difference (SMD) in energy intake between heightened-awareness and control conditions and qualitatively synthesized potential moderators of this effect. RESULTS Nine studies, providing 22 comparisons, were eligible for inclusion. These studies largely sampled young women and examined the energy intake of energy-dense snack foods. Evidence indicated that heightened awareness of observation was associated with reduced energy intake when compared with the control condition (random-effects SMD: 0.45; 95% CI: 0.25, 0.66; P < 0.0001). We found little evidence that the type of experimental manipulation used to heighten awareness moderated the overall effect. CONCLUSIONS The available evidence to date suggests that heightened awareness of observation reduces energy intake in a laboratory setting. These findings suggest that laboratory studies should attempt to minimize the degree to which participants are aware that their eating behavior is being measured.
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Affiliation(s)
- Eric Robinson
- Department of Psychological Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Charlotte A Hardman
- Department of Psychological Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Jason C G Halford
- Department of Psychological Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Andrew Jones
- Department of Psychological Sciences, University of Liverpool, Liverpool, United Kingdom
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Park CK, Timm V, Neupane B, Beyene J, Schmidt LA, McDonald SD. Factors Associated With Women's Plans to Gain Weight Categorized as Above or Below the National Guidelines During Pregnancy. JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA 2015; 37:225-235. [PMID: 26001869 DOI: 10.1016/s1701-2163(15)30308-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Given that planning to gain gestational weight categorized as above the national guidelines is associated with actually gaining above the guidelines, we sought to identify physical, lifestyle, knowledge, and psychological factors associated with planned weight gain. METHODS Using a piloted, self-administered questionnaire, a cross-sectional study of women with singleton pregnancies was conducted. Women's plans for weight gain were categorized as above, within, or below the guidelines. Univariate and multivariate analyses were performed. RESULTS The response rate was 90.7% (n = 330). Compared with women whose plans to gain weight were within the guidelines, women whose plans to gain were above the guidelines were more likely to be older (adjusted odds ratio [aOR] 1.09 per year; 95% CI 1.03 to 1.16), to have a greater pre-pregnancy BMI (aOR 1.17 per unit of BMI; 95% CI 1.10 to 1.25), to drink more than one glass of soft drink or juice per day (aOR 2.73; 95% CI 1.27 to 5.87), and to report receiving a recommendation by their care provider to gain weight above the guidelines (aOR 5.46; 95% CI 1.56 to 19.05). Women whose plans to gain weight were categorized as below the guidelines were more likely to eat lunch in front of a screen (aOR 2.27; 95% CI 1.11 to 4.66) and to aspire to greater social desirability (aOR 2.51; 95% CI 1.01 to 6.22). CONCLUSION Modifiable factors associated with planned gestational weight gain categorized as above the guidelines included soft drink or juice consumption and having a recommendation from a care provider, while planned weight gain categorized as below the guidelines was associated with eating lunch in front of a screen and social desirability.
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Affiliation(s)
| | - Valerie Timm
- School of Nursing, Western University, London ON
| | - Binod Neupane
- Department of Clinical Epidemiology and Biostatistics, Hamilton ON
| | - Joseph Beyene
- Department of Clinical Epidemiology and Biostatistics, Hamilton ON
| | - Louis A Schmidt
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton ON
| | - Sarah D McDonald
- Department of Clinical Epidemiology and Biostatistics, Hamilton ON; Departments of Obstetrics and Gynecology (Division of Maternal-Fetal Medicine) and Radiology, Hamilton ON
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Validation of a Web-based, self-administered, non-consecutive-day dietary record tool against urinary biomarkers. Br J Nutr 2015; 113:953-62. [DOI: 10.1017/s0007114515000057] [Citation(s) in RCA: 118] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
New technologies are promising for the use of short-term instruments for dietary data collection; however, innovative tools should be validated against objective biomarkers. The aim of the present study was to investigate the validity of a Web-based, self-administered dietary record (DR) tool using protein, K and Na intakes against 24 h urinary biomarkers (24 h U). Of the total participants, 199 adult volunteers (104 men and 95 women, mean age 50·5 (23–83 years)) of the NutriNet-Santé Study were included in the protocol. They completed three non-consecutive-day DR and two 24 h U on the first and third DR days. Relative differences between reported (DR) and measured (24 h U) intakes were calculated from the log ratio (DR/24 h U) for protein, K and Na intakes: − 14·4,+2·6 and − 2·1 % for men; and − 13·9, − 3·7 and − 8·3 % for women, respectively. The correlations between reported and true intakes were 0·61, 0·78 and 0·47 for men and 0·64, 0·42 and 0·37 for women for protein, K and Na, respectively. Attenuation factors, that represent attenuation of the true diet–disease relationship due to measurement error (a value closer to 1 indicating lower attenuation), ranged from 0·23 (Na, women) to 0·60 (K, men). We showed that the Web-based DR tool used in the NutriNet-Santé cohort study performs well in estimating protein and K intakes and fairly well in estimating Na intake. Furthermore, three non-consecutive-day DR appear to be valid for estimating usual intakes of protein and K, although caution is advised regarding the generalisability of these findings to other nutrients and general population.
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Abstract
Studies on the role of diet in the development of chronic diseases often rely on self-report surveys of dietary intake. Unfortunately, many validity studies have demonstrated that self-reported dietary intake is subject to systematic under-reporting, although the vast majority of such studies have been conducted in industrialised countries. The aim of the present study was to investigate whether or not systematic reporting error exists among the individuals of African ancestry (n 324) in five countries distributed across the Human Development Index (HDI) scale, a UN statistic devised to rank countries on non-income factors plus economic indicators. Using two 24 h dietary recalls to assess energy intake and the doubly labelled water method to assess total energy expenditure, we calculated the difference between these two values ((self-report - expenditure/expenditure) × 100) to identify under-reporting of habitual energy intake in selected communities in Ghana, South Africa, Seychelles, Jamaica and the USA. Under-reporting of habitual energy intake was observed in all the five countries. The South African cohort exhibited the highest mean under-reporting ( - 52·1% of energy) compared with the cohorts of Ghana ( - 22·5%), Jamaica ( - 17·9%), Seychelles ( - 25·0%) and the USA ( - 18·5%). BMI was the most consistent predictor of under-reporting compared with other predictors. In conclusion, there is substantial under-reporting of dietary energy intake in populations across the whole range of the HDI, and this systematic reporting error increases according to the BMI of an individual.
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Quesada KR, Novais PFS, Detregiachi CRP, Barbalho SM, Rasera I, Oliveira MRM. Comparative analysis of approaches for assessing energy intake underreporting by female bariatric surgery candidates. J Am Coll Nutr 2014; 33:155-62. [PMID: 24724773 DOI: 10.1080/07315724.2013.874893] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
OBJECTIVE To test six variations in the Goldberg equation for evaluating the underreporting of energy intake (EI) among obese women on the waiting list for bariatric surgery, considering variations in resting metabolic rate (RMR), physical activity, and food intake levels in group and individual approaches. METHODS One hundred obese women aged 20 to 45 years (33.3 ± 6.08) recruited from a bariatric surgery waiting list participated in the study. Underreporting assessment was based on the difference between reported energy intake, indirect calorimetry measurements and RMR (rEI:RMR), which is compatible with the predicted physical activity level (PAL). Six approaches were used for defining the cutoff points. The approaches took into account variances in the components of the rEI:RMR = PAL equation as a function of the assumed PAL, sample size (n), and measured or estimated RMR. RESULTS The underreporting percentage varied from 55% to 97%, depending on the approach used for generating the cutoff points. The ratio rEI:RMR and estimated PAL of the sample were significantly different (p = 0.001). Sixty-one percent of the women reported an EI lower than their RMR. The PAL variable significantly affected the cutoff point, leading to different proportions of underreporting. The RMR measured or estimated in the equation did not result in differences in the proportion of underreporting. The individual approach was less sensitive than the group approach. CONCLUSION RMR did not interfere in underreporting estimates. However, PAL variations were responsible for significant differences in cutoff point. Thus, PAL should be considered when estimating underreporting, and even though the individual approach is less sensitive than the group approach, it may be a useful tool for clinical practice.
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Affiliation(s)
- Karina R Quesada
- a UNESP-Universidade Estadual Paulista "Julio de Mesquita Filho", Campus Araraquara and Botucatu , -São Paulo , BRAZIL
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Banna JC, Fialkowski MK, Townsend MS. Misreporting of dietary intake affects estimated nutrient intakes in low-income Spanish-speaking women. J Acad Nutr Diet 2014; 115:1124-33. [PMID: 25132121 DOI: 10.1016/j.jand.2014.06.358] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2013] [Accepted: 06/16/2014] [Indexed: 11/28/2022]
Abstract
Misreporting of dietary intake affects the validity of data collected and conclusions drawn in studies exploring diet and health outcomes. One consequence of misreporting is biological implausibility. Little is known regarding how accounting for biological implausibility of reported intake affects nutrient intake estimates in Hispanics, a rapidly growing demographic in the United States. Our study explores the effect of accounting for plausibility on nutrient intake estimates in a sample of Mexican-American women in northern California in 2008. Nutrient intakes are compared with Dietary Reference Intake recommendations, and intakes of Mexican-American women in a national survey are presented as a reference. Eighty-two women provided three 24-hour recalls. Reported energy intakes were classified as biologically plausible or implausible using the reported energy intakes to total energy expenditure cutoff of <0.76 or >1.24, with low-active physical activity levels used to estimate total energy expenditure. Differences in the means of nutrient intakes between implausible (n=36) and plausible (n=46) reporters of energy intake were examined by bivariate linear regression. Estimated energy, protein, cholesterol, dietary fiber, and vitamin E intakes were significantly higher in plausible reporters than implausible. There was a significant difference between the proportions of plausible vs implausible reporters meeting recommendations for several nutrients, with a larger proportion of plausible reporters meeting recommendations. Further research related to misreporting in Hispanic populations is warranted to explore the causes and effects of misreporting in studies measuring dietary intake, as well as actions to be taken to prevent or account for this issue.
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Nutrient intake and food habits of soccer players: analyzing the correlates of eating practice. Nutrients 2014; 6:2697-717. [PMID: 25045939 PMCID: PMC4113765 DOI: 10.3390/nu6072697] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Revised: 06/03/2014] [Accepted: 07/01/2014] [Indexed: 11/17/2022] Open
Abstract
Despite the impact and popularity of soccer, and the growing field of soccer-related scientific research, little attention has been devoted to the nutritional intake and eating habits of soccer players. Moreover, the few studies that have addressed this issue suggest that the nutritional intake of soccer players is inadequate, underscoring the need for better adherence to nutritional recommendations and the development and implementation of nutrition education programs. The objective of these programs would be to promote healthy eating habits for male and female soccer players of all ages to optimize performance and provide health benefits that last beyond the end of a player's career. To date, no well-designed nutrition education program has been implemented for soccer players. The design and implementation of such an intervention requires a priori knowledge of nutritional intake and other correlates of food selection, such as food preferences and the influence of field position on nutrient intake, as well as detailed analysis of nutritional intake on match days, on which little data is available. Our aim is to provide an up-to-date overview of the nutritional intake, eating habits, and correlates of eating practice of soccer players.
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Hébert JR, Hurley TG, Steck SE, Miller DR, Tabung FK, Peterson KE, Kushi LH, Frongillo EA. Considering the value of dietary assessment data in informing nutrition-related health policy. Adv Nutr 2014; 5:447-55. [PMID: 25022993 PMCID: PMC4085192 DOI: 10.3945/an.114.006189] [Citation(s) in RCA: 107] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Dietary assessment has long been known to be challenged by measurement error. A substantial amount of literature on methods for determining the effects of error on causal inference has accumulated over the past decades. These methods have unrealized potential for improving the validity of data collected for research studies and national nutritional surveillance, primarily through the NHANES. Recently, the validity of dietary data has been called into question. Arguments against using dietary data to assess diet-health relations or to inform the nutrition policy debate are subject to flaws that fall into 2 broad areas: 1) ignorance or misunderstanding of methodologic issues; and 2) faulty logic in drawing inferences. Nine specific issues are identified in these arguments, indicating insufficient grasp of the methods used for assessing diet and designing nutritional epidemiologic studies. These include a narrow operationalization of validity, failure to properly account for sources of error, and large, unsubstantiated jumps to policy implications. Recent attacks on the inadequacy of 24-h recall-derived data from the NHANES are uninformative regarding effects on estimating risk of health outcomes and on inferences to inform the diet-related health policy debate. Despite errors, for many purposes and in many contexts, these dietary data have proven to be useful in addressing important research and policy questions. Similarly, structured instruments, such as the food frequency questionnaire, which is the mainstay of epidemiologic literature, can provide useful data when errors are measured and considered in analyses.
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Affiliation(s)
- James R Hébert
- Departments of Epidemiology and Biostatistics and Cancer Prevention and Control Program, and Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, SC;
| | | | - Susan E Steck
- Departments of Epidemiology and Biostatistics and Cancer Prevention and Control Program, and Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, SC
| | - Donald R Miller
- Department of Health Policy and Management, Boston University School of Public Health, Boston, MA; Center for Healthcare Organization and Implementation Research, Bedford Veterans Affairs Medical Center, Bedford, MA
| | - Fred K Tabung
- Departments of Epidemiology and Biostatistics and Cancer Prevention and Control Program, and
| | - Karen E Peterson
- Human Nutrition Program, Department of Environmental Health Sciences, School of Public Health and Center for Human Growth and Development, University of Michigan, Ann Arbor, MI; Department of Nutrition, Harvard School of Public Health, Boston, MA
| | - Lawrence H Kushi
- Division of Research, Kaiser Permanente Northern California, Oakland, CA; and School of Medicine, University of California, Davis, Sacramento, CA
| | - Edward A Frongillo
- Health Promotion, Education, and Behavior, Arnold School of Public Health, Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, SC
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Abstract
OBJECTIVE Self-reported screening questions are considered as an effective way to identify patients with limited health literacy. Yet research has shown that individuals tend to over-report their reading level. Moreover, the likelihood of over-reporting may differ between gender groups. This study examined if systematic differences exist between men and women in their response to self-reported screening questions. DESIGN A national survey in Taiwan with participants selected using a multistage stratified, probability-proportional-to-size sampling strategy. PARTICIPANTS A total of 5682 Taiwanese adults aged 18 and older were sampled and recruited. Of those adults, 3491 participated in the survey, resulting in a 62.1% response rate. Both gender groups were equally represented in the final study sample. MAIN MEASURES Self-reported health literacy was assessed using two sets of questions that asked how difficult it was for the respondent to understand written health materials and how often the participant needed assistance from others to understand written health materials. The objective level of health literacy was measured using the Mandarin Health Literacy Scale (MHLS). RESULTS A significant gender difference was observed among participants who had inadequate health literacy: while women's self-report was in line with the MHLS test result, men had a significant tendency to over-report their comprehension of health information. CONCLUSIONS In Taiwan, screening questions are prone to socially desirable response and may underidentify male patients with inadequate health literacy. Development of a brief and easy-to-use health literacy test may be a more effective approach to health literacy screening in clinical settings. Alternatively, clinicians can verify patient comprehension of health information via the 'teach back' or 'show me' technique in order to improve communication and patient care. Research is needed to examine if gender differences in self-report of health literacy exist in other countries.
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Affiliation(s)
- Shoou-Yih Daniel Lee
- Department of Health Management and Policy, The University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Tzu-I Tsai
- School of Nursing, National Yang-Ming University, Taipei, Taiwan
| | - Yi-Wen Tsai
- Institute of Health and Welfare Policy, National Yang-Ming University, Taipei, Taiwan
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Martins CM, Fonseca FA, Ballus CA, Figueiredo-Neto AM, Meinhart AD, de Godoy HT, Izar MC. Common sources and composition of phytosterols and their estimated intake by the population in the city of São Paulo, Brazil. Nutrition 2013; 29:865-71. [DOI: 10.1016/j.nut.2012.12.017] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2012] [Revised: 12/05/2012] [Accepted: 12/10/2012] [Indexed: 10/27/2022]
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50
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Abstract
The field of nutrigenomics shows tremendous promise for improved understanding of the effects of dietary intake on health. The knowledge that metabolic pathways may be altered in individuals with genetic variants in the presence of certain dietary exposures offers great potential for personalized nutrition advice. However, although considerable resources have gone into improving technology for measurement of the genome and biological systems, dietary intake assessment remains inadequate. Each of the methods currently used has limitations that may be exaggerated in the context of gene × nutrient interaction in large multiethnic studies. Because of the specificity of most gene × nutrient interactions, valid data are needed for nutrient intakes at the individual level. Most statistical adjustment efforts are designed to improve estimates of nutrient intake distributions in populations and are unlikely to solve this problem. An improved method of direct measurement of individual usual dietary intake that is unbiased across populations is urgently needed.
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Affiliation(s)
- Katherine L Tucker
- Department of Health Sciences, Northeastern University, Boston, MA 02115, USA.
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