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Trichia E, MacLean F, Perez-Cornago A, Tong TYN, Emberson JR, Key TJ, Lewington S, Carter JL. Associations of fruit intake with adiposity and cardiometabolic biomarkers in UK Biobank. BMC Public Health 2024; 24:2227. [PMID: 39148062 PMCID: PMC11328357 DOI: 10.1186/s12889-024-19505-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 07/16/2024] [Indexed: 08/17/2024] Open
Abstract
BACKGROUND Fruit consumption has been associated with a lower cardiovascular disease (CVD) risk but the underlying mechanisms are unclear. We investigated the cross-sectional and prospective associations of fruit consumption with markers of adiposity, blood pressure, lipids, low-grade inflammation, glycaemia, and oxidative stress. METHODS The main analyses included 365 534 middle-aged adults from the UK Biobank at baseline, of whom 11 510, and 38 988 were included in the first and second follow-up respectively, free from CVD and cancer at baseline. Fruit consumption frequency at baseline was assessed using a questionnaire. We assessed the cross-sectional and prospective associations of fruit with adiposity (body mass index, waist circumference and %body fat), systolic and diastolic blood pressure, lipids (low-density and high-density lipoproteins, triglycerides and apolipoprotein B), glycaemia (haemoglobin A1c), low-grade inflammation (C-reactive protein) and oxidative stress (gamma-glutamyl-transferase) using linear regression models adjusted for socioeconomic and lifestyle factors. Analyses were repeated in a subset with two to five complete 24-h dietary assessments (n = 26 596) allowing for adjustment for total energy intake. RESULTS Fruit consumption at baseline generally showed weak inverse associations with adiposity and biomarkers at baseline. Most of these relationships did not persist through follow-up, except for inverse associations with diastolic blood pressure, C-reactive protein, gamma-glutamyl transferase and adiposity. However, for most mechanisms, mean levels varied by less than 0.1 standard deviations (SD) between high and low fruit consumption (> 3 vs < 1 servings/day) in further adjusted models (while the difference was < 0.2 SD for all of them). For example, waist circumference and diastolic blood pressure were 1 cm and 1 mmHg lower in high compared to low fruit intake at the first follow-up (95% confidence interval: -1.8, -0.1 and -1.8, -0.3, respectively). Analyses in the 24-h dietary assessment subset showed overall similar associations. CONCLUSIONS We observed very small differences in adiposity and cardiometabolic biomarkers between those who reported high fruit consumption vs low, most of which did not persist over follow-up. Future studies on other mechanisms and detailed assessment of confounding might further elucidate the relevance of fruit to cardiovascular disease.
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Affiliation(s)
- Eirini Trichia
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Fiona MacLean
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jonathan R Emberson
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sarah Lewington
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jennifer L Carter
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
- Health Data Research UK, University of Oxford (HDRUK-Oxford), Oxford, UK.
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2
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Debras C, Cordova R, Mayén AL, Maasen K, Knaze V, Eussen SJPM, Schalkwijk CG, Huybrechts I, Tjønneland A, Halkjær J, Katzke V, Bajracharya R, Schulze MB, Masala G, Pala V, Pasanisi F, Macciotta A, Petrova D, Castañeda J, Santiuste C, Amiano P, Moreno-Iribas C, Borné Y, Sonestedt E, Johansson I, Esberg A, Aglago EK, Jenab M, Freisling H. Dietary intake of dicarbonyl compounds and changes in body weight over time in a large cohort of European adults. Br J Nutr 2024; 131:1902-1914. [PMID: 38383991 DOI: 10.1017/s0007114524000503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Dicarbonyl compounds are highly reactive precursors of advanced glycation end products (AGE), produced endogenously, present in certain foods and formed during food processing. AGE contribute to the development of adverse metabolic outcomes, but health effects of dietary dicarbonyls are largely unexplored. We investigated associations between three dietary dicarbonyl compounds, methylglyoxal (MGO), glyoxal (GO) and 3-deoxyglucosone (3-DG), and body weight changes in European adults. Dicarbonyl intakes were estimated using food composition database from 263 095 European Prospective Investigation into Cancer and Nutrition-Physical Activity, Nutrition, Alcohol, Cessation of Smoking, Eating Out of Home in Relation to Anthropometry participants with two body weight assessments (median follow-up time = 5·4 years). Associations between dicarbonyls and 5-year body-weight changes were estimated using mixed linear regression models. Stratified analyses by sex, age and baseline BMI were performed. Risk of becoming overweight/obese was assessed using multivariable-adjusted logistic regression. MGO intake was associated with 5-year body-weight gain of 0·089 kg (per 1-sd increase, 95 % CI 0·072, 0·107). 3-DG was inversely associated with body-weight change (-0·076 kg, -0·094, -0·058). No significant association was observed for GO (0·018 kg, -0·002, 0·037). In stratified analyses, GO was associated with body-weight gain among women and older participants (above median of 52·4 years). MGO was associated with higher body-weight gain among older participants. 3-DG was inversely associated with body-weight gain among younger and normal-weight participants. MGO was associated with a higher risk of becoming overweight/obese, while inverse associations were observed for 3-DG. No associations were observed for GO with overweight/obesity. Dietary dicarbonyls are inconsistently associated with body weight change among European adults. Further research is needed to clarify the role of these food components in overweight and obesity, their underlying mechanisms and potential public health implications.
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Affiliation(s)
- Charlotte Debras
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Reynalda Cordova
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Ana-Lucia Mayén
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Kim Maasen
- Department of Internal Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Viktoria Knaze
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Simone J P M Eussen
- Department of Epidemiology, CARIM School for Cardiovascular Diseases/CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Casper G Schalkwijk
- Department of Internal Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jytte Halkjær
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Verena Katzke
- Department of Cancer Epidemiology, German Cancer research Center (DKFZ), Heidelberg, Germany
| | - Rashmita Bajracharya
- Department of Cancer Epidemiology, German Cancer research Center (DKFZ), Heidelberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Valeria Pala
- Epidemiology and Prevention Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Fabrizio Pasanisi
- Department of Clinical Medicine and Surgery School of Medicine, Federico II University, Via Sergio Pansini 5, 80131, Naples, Italy
| | - Alessandra Macciotta
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
| | - Dafina Petrova
- Escuela Andaluza de Salud Pública (EASP), 18011 Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029Madrid, Spain
| | - Jazmin Castañeda
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet del Llobregat, Spain
| | - Carmen Santiuste
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Pilar Amiano
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, 2013 San Sebastian, Spain; Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, 20014 San Sebastián, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Conchi Moreno-Iribas
- Instituto de Salud Pública y Laboral de Navarra, 31003 Pamplona, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Navarra Institute for Health Research (IdiSNA), 31008Pamplona, Spain
| | - Yan Borné
- Nutrition Epidemiology, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
| | - Emily Sonestedt
- Nutrition Epidemiology, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
| | | | - Anders Esberg
- Department of Odontology, Umeå University, Umeå, Sweden
| | - Elom Kouassivi Aglago
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Mazda Jenab
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Heinz Freisling
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
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Wan Y, Tobias DK, Dennis KK, Guasch-Ferré M, Sun Q, Rimm EB, Hu FB, Ludwig DS, Devinsky O, Willett WC. Association between changes in carbohydrate intake and long term weight changes: prospective cohort study. BMJ 2023; 382:e073939. [PMID: 37758268 PMCID: PMC10523278 DOI: 10.1136/bmj-2022-073939] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/31/2023] [Indexed: 09/30/2023]
Abstract
OBJECTIVE To comprehensively examine the associations between changes in carbohydrate intake and weight change at four year intervals. DESIGN Prospective cohort study. SETTING Nurses' Health Study (1986-2010), Nurses' Health Study II (1991-2015), and Health Professionals Follow-Up Study (1986-2014). PARTICIPANTS 136 432 men and women aged 65 years or younger and free of diabetes, cancer, cardiovascular disease, respiratory disease, neurodegenerative disorders, gastric conditions, chronic kidney disease, and systemic lupus erythematosus before baseline. MAIN OUTCOME MEASURE Weight change within a four year period. RESULTS The final analyses included 46 722 women in the Nurses' Health Study, 67 186 women in the Nurses' Health Study II, and 22 524 men in the Health Professionals Follow-up Study. On average, participants gained 1.5 kg (5th to 95th centile -6.8 to 10.0) every four years, amounting to 8.8 kg on average over 24 years. Among men and women, increases in glycemic index and glycemic load were positively associated with weight gain. For example, a 100 g/day increase in starch or added sugar was associated with 1.5 kg and 0.9 kg greater weight gain over four years, respectively, whereas a 10 g/day increase in fiber was associated with 0.8 kg less weight gain. Increased carbohydrate intake from whole grains (0.4 kg less weight gain per 100 g/day increase), fruit (1.6 kg less weight gain per 100 g/day increase), and non-starchy vegetables (3.0 kg less weight gain per 100 g/day increase) was inversely associated with weight gain, whereas increased intake from refined grains (0.8 kg more weight gain per 100 g/day increase) and starchy vegetables (peas, corn, and potatoes) (2.6 kg more weight gain per 100 g/day increase) was positively associated with weight gain. In substitution analyses, replacing refined grains, starchy vegetables, and sugar sweetened beverages with equal servings of whole grains, fruit, and non-starchy vegetables was associated with less weight gain. The magnitude of these associations was stronger among participants with overweight or obesity compared with those with normal weight (P<0.001 for interaction). Most of these associations were also stronger among women. CONCLUSIONS The findings of this study highlight the potential importance of carbohydrate quality and source for long term weight management, especially for people with excessive body weight. Limiting added sugar, sugar sweetened beverages, refined grains, and starchy vegetables in favor of whole grains, fruit, and non-starchy vegetables may support efforts to control weight.
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Affiliation(s)
- Yi Wan
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Deirdre K Tobias
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Kristine K Dennis
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric B Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - David S Ludwig
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- New Balance Foundation Obesity Prevention Center, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Orrin Devinsky
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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4
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Li SY, Leung JCS, Lu ZH, Kwok TCY. Quantity and Variety of Fruit and Vegetable Intake with Changes in Measures of Adiposity among Community-Dwelling Chinese Older Adults. Nutrients 2023; 15:4096. [PMID: 37836380 PMCID: PMC10574446 DOI: 10.3390/nu15194096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/17/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND The association between fruit and vegetable intake, considering both quantity and variety, and weight change among older adults remains controversial. We aimed to investigate the association between fruit and vegetable intake, variety, and changes in adiposity measures among community-dwelling Chinese older adults. METHODS A total of 2944 participants aged ≥65 years from Hong Kong communities were included. Fruit and vegetable intake was estimated by a locally validated food frequency questionnaire. Adiposity measures (weight, body mass index (BMI), waist circumference, fat and lean mass) were assessed at baseline and the year four follow-up. Restricted cubic spline and logistic models were performed to estimate the associations between fruit and vegetable intake, variety, and changes in adiposity measures. RESULTS A nonlinear association between vegetable intake and weight change was found, following a J-shape curve. Increased vegetable intake was associated with less increases in weight, BMI, and fat mass among those below median intakes. However, these associations became insignificant at higher intakes (all P-nonlinearity < 0.05). The ORs (95% CIs) for weight gain across the quartiles of vegetable intake were as follows: 1.00 (reference), 0.81 (0.56, 1.17), 0.55 (0.36, 0.83), and 0.88 (0.58, 1.33). Similar patterns were observed in overweight and normal weight participants, but not in those with low body weight. No associations with weight change were found for fruit intake or fruit and vegetable variety. CONCLUSIONS Moderate vegetable intake was associated with less weight gain among community-dwelling Chinese older adults, but not in those with low body weight. No association was observed between fruit intake or variety with weight change.
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Affiliation(s)
- Shu-Yi Li
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Jason C. S. Leung
- Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong, China
| | - Zhi-Hui Lu
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Timothy C. Y. Kwok
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
- Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong, China
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5
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Rudzińska A, Juchaniuk P, Oberda J, Wiśniewska J, Wojdan W, Szklener K, Mańdziuk S. Phytochemicals in Cancer Treatment and Cancer Prevention-Review on Epidemiological Data and Clinical Trials. Nutrients 2023; 15:nu15081896. [PMID: 37111115 PMCID: PMC10144429 DOI: 10.3390/nu15081896] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 04/04/2023] [Accepted: 04/12/2023] [Indexed: 04/29/2023] Open
Abstract
Phytochemicals are a non-nutritive substances that are present in plants and contribute significantly to their flavor and color. These biologically active compounds are classified into five major groups, namely phenolics, carotenoids, organosulfur compounds, nitrogen-containing compounds, and alkaloids, and are known for their potential health benefits in the prevention of various diseases, including cancer. The purpose of this review article is to explore the potential therapeutic benefits of the dietary phytochemicals, such as flavonoids, phenolic acids, phytosterols, carotenoids, and stilbenes, in cancer treatment and prevention based on the epidemiological studies and clinical trials. Although the majority of epidemiological studies report a significant advantage of the heightened phytochemical consumption and increased serum levels of these compounds, linking increased exposure with a lower cancer risk across most cancer types, these effects could not be replicated in the most available clinical trials. In fact, many of these trials were withdrawn early due to a lack of evidence and/or risk of harm. Despite the strong anticancer effect of phytochemicals, as well as their proven efficacy in multiple epidemiological studies, there is still a great need for human studies and clinical trials, with great caution regarding the safety measures. This review article provides an overview of the epidemiological and clinical evidence supporting the potential chemopreventive and anticancer properties of phytochemicals, with a focus on the need for further research in this area.
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Affiliation(s)
- Anna Rudzińska
- Department of Clinical Oncology and Chemotherapy, Medical University of Lublin, 20-954 Lublin, Poland
| | - Pola Juchaniuk
- Department of Clinical Oncology and Chemotherapy, Medical University of Lublin, 20-954 Lublin, Poland
| | - Jakub Oberda
- Department of Clinical Oncology and Chemotherapy, Medical University of Lublin, 20-954 Lublin, Poland
| | - Jolanta Wiśniewska
- Department of Clinical Oncology and Chemotherapy, Medical University of Lublin, 20-954 Lublin, Poland
| | - Witold Wojdan
- Department of Clinical Oncology and Chemotherapy, Medical University of Lublin, 20-954 Lublin, Poland
| | - Katarzyna Szklener
- Department of Clinical Oncology and Chemotherapy, Medical University of Lublin, 20-954 Lublin, Poland
| | - Sławomir Mańdziuk
- Department of Clinical Oncology and Chemotherapy, Medical University of Lublin, 20-954 Lublin, Poland
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6
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Potential Role of Natural Antioxidant Products in Oncological Diseases. Antioxidants (Basel) 2023; 12:antiox12030704. [PMID: 36978952 PMCID: PMC10045077 DOI: 10.3390/antiox12030704] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/09/2023] [Accepted: 03/10/2023] [Indexed: 03/14/2023] Open
Abstract
Nutrition has a significant effect and a crucial role in disease prevention. Low consumption of fruit and vegetables and a sedentary lifestyle are closely related with the onset and development of many types of cancer. Recently, nutraceuticals have gained much attention in cancer research due to their pleiotropic effects and relatively non-toxic behavior. In fact, although in the past there have been conflicting results on the role of some antioxidant compounds as allies against cancer, numerous recent clinical studies highlight the efficacy of dietary phytochemicals in the prevention and treatment of cancer. However, further investigation is necessary to gain a deeper understanding of the potential anticancer capacities of dietary phytochemicals as well as the mechanisms of their action. Therefore, this review examined the current literature on the key properties of the bioactive components present in the diet, such as carotenoids, polyphenols, and antioxidant compounds, as well as their use in cancer therapy. The review focused on potential chemopreventive properties, evaluating their synergistic effects with anticancer drugs and, consequently, the side effects associated with current cancer treatments.
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7
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Sedlmeier AM, Viallon V, Ferrari P, Peruchet-Noray L, Fontvieille E, Amadou A, Seyed Khoei N, Weber A, Baurecht H, Heath AK, Tsilidis K, Kaaks R, Katzke V, Inan-Eroglu E, Schulze MB, Overvad K, Bonet C, Ubago-Guisado E, Chirlaque MD, Ardanaz E, Perez-Cornago A, Pala V, Tumino R, Sacerdote C, Pasanisi F, Borch KB, Rylander C, Weiderpass E, Gunter MJ, Fervers B, Leitzmann MF, Freisling H. Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study. Br J Cancer 2023; 128:594-605. [PMID: 36460776 PMCID: PMC9938222 DOI: 10.1038/s41416-022-02071-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 11/10/2022] [Accepted: 11/14/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Classical anthropometric traits may fail to fully represent the relationship of weight, adiposity, and height with cancer risk. We investigated the associations of body shape phenotypes with the risk of overall and site-specific cancers. METHODS We derived four distinct body shape phenotypes from principal component (PC) analysis on height, weight, body mass index (BMI), waist (WC) and hip circumferences (HC), and waist-to-hip ratio (WHR). The study included 340,152 men and women from 9 European countries, aged mostly 35-65 years at recruitment (1990-2000) in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Cox proportional hazards regression was used to estimate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS After a median follow-up of 15.3 years, 47,110 incident cancer cases were recorded. PC1 (overall adiposity) was positively associated with the risk of overall cancer, with a HR per 1 standard deviation (SD) increment equal to 1.07 (95% confidence interval 1.05 to 1.08). Positive associations were observed with 10 cancer types, with HRs (per 1 SD) ranging from 1.36 (1.30-1.42) for endometrial cancer to 1.08 (1.03-1.13) for rectal cancer. PC2 (tall stature with low WHR) was positively associated with the risk of overall cancer (1.03; 1.02-1.04) and five cancer types which were not associated with PC1. PC3 (tall stature with high WHR) was positively associated with the risk of overall cancer (1.04; 1.03-1.05) and 12 cancer types. PC4 (high BMI and weight with low WC and HC) was not associated with overall risk of cancer (1.00; 0.99-1.01). CONCLUSIONS In this multi-national study, distinct body shape phenotypes were positively associated with the incidence of 17 different cancers and overall cancer.
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Affiliation(s)
- Anja M Sedlmeier
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Vivian Viallon
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Branch, Lyon, France
| | - Pietro Ferrari
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Branch, Lyon, France
| | - Laia Peruchet-Noray
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Branch, Lyon, France
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Emma Fontvieille
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Branch, Lyon, France
| | - Amina Amadou
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France
- INSERM UMR1296 Radiation: Defense, Health, Environment, Lyon, France
| | - Nazlisadat Seyed Khoei
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Vienna, Austria
| | - Andrea Weber
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Hansjörg Baurecht
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Kostas Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Elif Inan-Eroglu
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Catalina Bonet
- Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain
- Nutrition and Cancer Group, Epidemiology, Public Health, Cancer Prevention and Palliative Care Program, Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Esther Ubago-Guisado
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
| | - María-Dolores Chirlaque
- CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
- Department of Epidemiology, Regional Health Council, Murcia, Spain
- IMIB-Arrixaca, Murcia University, Murcia, Spain
| | - Eva Ardanaz
- CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
- Navarra Public Health Institute, IdiSNA, Pamplona, Spain
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Valeria Pala
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, AIRE - ONLUS, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Fabrizio Pasanisi
- Clinical Nutrition Unit, Department of Clinical Medicine and Surgery, Federico II University Hospital, Naples, Italy
| | - Kristin B Borch
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Charlotta Rylander
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Elisabete Weiderpass
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Branch, Lyon, France
| | - Marc J Gunter
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Branch, Lyon, France
| | - Béatrice Fervers
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France
- INSERM UMR1296 Radiation: Defense, Health, Environment, Lyon, France
| | - Michael F Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Branch, Lyon, France.
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8
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Association between Obesity and Intake of Different Food Groups among Japanese with Type 2 Diabetes Mellitus—Japan Diabetes Clinical Data Management Study (JDDM68). Nutrients 2022; 14:nu14153034. [PMID: 35893888 PMCID: PMC9331232 DOI: 10.3390/nu14153034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 07/19/2022] [Accepted: 07/19/2022] [Indexed: 12/04/2022] Open
Abstract
Background: We investigated the association between various food groups and obesity in Japanese patients with type 2 diabetes. Methods: 2070 patients with type 2 diabetes who attended 26 diabetes clinics throughout Japan were analyzed and were divided into obese and non-obese groups. Intakes of food groups determined by a food frequency questionnaire were compared. Odds ratios for obesity for quartiles of individual food groups were calculated using a logistic regression model. Results: Non-obese patients consumed a larger variety of food groups than obese patients, with the diets of non-obese individuals closer to the traditional Japanese diet characterized by fish, seaweed, and soybeans/soy products. Among 21 food groups, low vegetable intake and high sweets intake were the most strongly associated with obesity in both men and women. Low intake of both fruits and vegetables and the combination of high intake of sweets and low intake of fruits were associated with obesity. Conclusions: Food groups and their combinations that were strongly associated with obesity in Japanese patients with type 2 diabetes were identified. Our findings also suggested an inverse association between the traditional Japanese diet and obesity.
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Wu E, Ni J, Zhou W, You L, Tao L, Xie T. Consumption of fruits, vegetables, and legumes are associated with overweight/obesity in the middle- and old-aged Chongqing residents: A case-control study. Medicine (Baltimore) 2022; 101:e29749. [PMID: 35801775 PMCID: PMC9259125 DOI: 10.1097/md.0000000000029749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
This study aimed to investigate the association of dietary habits with the risk of overweight/obesity among middle-and-old-aged Chongqing residents and also to examine the joint effects of behavioral lifestyles, dietary habits, and overweight/obesity. In this case-control study, age (±3 years), sex, and time of physical exercise matched 979 overweight/obesity residents, and 979 normal weight residents were recruited. A validated questionnaire was used to collect participants' information. Conditional logistic regression analysis was performed to determine the adjusted odds ratios (ORs) and 95% CIs of dietary habits and lifestyles associated with overweight/obesity risk. Overweight/obesity was defined as body mass index (BMI) ≥ 24 kg·m-2, and normal weight was defined as 18.5 ≤ BMI < 24 kg·m-2. The multivariate-adjusted models showed the weekly intake frequency of fruits 0-1 (day/week) (OR = 1.79, 95% CI = 1.04-3.10), and legumes 0-1 (day/week) (OR = 2.45, 95% CI = 1.28-4.67), as well as the weekly intake percentage of vegetables ≥ 15% (OR = 2.44, 95% CI = 1.04-5.71) were associated with a higher risk of overweight/obesity. Besides, there were joint effects of lifestyles (smoking or drinking) and dietary habits on overweight/obesity risk (P for interaction < 0.05). The consumption of vegetables, fruits, legumes, and the joint effects of behavioral habits (smoking or drinking) may modify the risk of being overweight/obese. It is essential to consume fruits and legumes at least 2 days/week, quit smoking, and stop consuming alcohol to avoid overweight/obesity among middle-aged and elderly people in Chongqing, China.
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Affiliation(s)
- E Wu
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China and Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Juntao Ni
- Women’s Hospital School of medicine Zhejiang University, Hangzhou, Zhejiang, China
| | - Wei Zhou
- The Second People’s Hospital of Banan District, Chongqing, China
| | - Leiying You
- The Second People’s Hospital of Banan District, Chongqing, China
| | - Lin Tao
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China and Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Tian Xie
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China and Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, China
- *Correspondence: e-mail: (T.X.)
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Kim HL, Chung J, Kim KJ, Kim HJ, Seo WW, Jeon KH, Cho I, Park JJ, Lee MH, Suh J, Lim SY, Choi S, Kim SH. Lifestyle Modification in the Management of Metabolic Syndrome: Statement From Korean Society of CardioMetabolic Syndrome (KSCMS). Korean Circ J 2022; 52:93-109. [PMID: 35128848 PMCID: PMC8819565 DOI: 10.4070/kcj.2021.0328] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/08/2021] [Accepted: 12/01/2021] [Indexed: 11/11/2022] Open
Abstract
Metabolic syndrome (MetS) is highly prevalent and is associated with worse cardiovascular outcome. Lifestyle modification is the most effective way to reduce the incidence of cardiovascular complications caused by MetS. Here, we would like to review the effects and specific methods of the 6 lifestyle modifications (weight control, smoking cessation, alcohol drinking in moderation, diet control, exercise and physical activity, and cognitive behavioral therapy) and control of blood pressure, dyslipidemia, and blood sugar based on evidence in the management of MetS. With the recent rapid increase in obesity worldwide, metabolic syndrome (MetS) has gained significant importance. MetS is a cluster of obesity-related cardiovascular risk factors including abdominal obesity, atherogenic dyslipidemia, high blood pressure and impaired glucose tolerance. MetS is highly prevalent and strongly associated with an increased risk of developing diabetes and cardiovascular disease, putting a great burden on human society. Therefore, it is very important to reduce MetS risk, which can improve patients’ cardiovascular prognosis. The primary and most effective strategy to control each component of MetS is lifestyle change such as losing body weight, keeping regular exercise, adopting a healthy diet, quitting smoking and alcohol drinking in moderation. Many studies have shown that lifestyle modification has improved all components of MetS, and reduces the incidence of diabetes and cardiovascular disease. Here, the Korean Society of CardioMetabolic Syndrome has summarized specific and practical methods of lifestyle modification in the management of MetS in the healthcare field.
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Affiliation(s)
- Hack-Lyoung Kim
- Division of Cardiology, Department of Internal Medicine, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Jaehoon Chung
- Division of Cardiology, Department of Internal Medicine, National Medical Center, Seoul, Korea
| | - Kyung-Jin Kim
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University Medical Center, Ewha Womans University School of Medicine, Seoul, Korea
| | - Hyun-Jin Kim
- Department of Cardiology in Internal Medicine, Hanyang University Guri Hospital, Guri, Korea
| | - Won-Woo Seo
- Division of Cardiology, Department of Internal Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea
| | - Ki-Hyun Jeon
- Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Iksung Cho
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jin Joo Park
- Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Min-Ho Lee
- Division of Cardiology, Department of Internal Medicine, Soon Chun Hyang University Seoul Hospital, Seoul, Korea
| | - Jon Suh
- Division of Cardiology, Department of Internal Medicine, Soon Chun Hyang Bucheon Hospital, Soon Chun Hyang University College of Medicine, Bucheon, Korea
| | - Sang-Yup Lim
- Departments of Internal Medicine, Korea University Ansan Hospital, Ansan, Korea
| | - Seonghoon Choi
- Division of Cardiology, Department of Internal Medicine, Hallym University College of Medicine, Seoul, Korea
| | - Sang-Hyun Kim
- Division of Cardiology, Department of Internal Medicine, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
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11
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Cordova R, Kliemann N, Huybrechts I, Rauber F, Vamos EP, Levy RB, Wagner KH, Viallon V, Casagrande C, Nicolas G, Dahm CC, Zhang J, Halkjær J, Tjønneland A, Boutron-Ruault MC, Mancini FR, Laouali N, Katzke V, Srour B, Jannasch F, Schulze MB, Masala G, Grioni S, Panico S, van der Schouw YT, Derksen JWG, Rylander C, Skeie G, Jakszyn P, Rodriguez-Barranco M, Huerta JM, Barricarte A, Brunkwall L, Ramne S, Bodén S, Perez-Cornago A, Heath AK, Vineis P, Weiderpass E, Monteiro CA, Gunter MJ, Millett C, Freisling H. Consumption of ultra-processed foods associated with weight gain and obesity in adults: A multi-national cohort study. Clin Nutr 2021; 40:5079-5088. [PMID: 34455267 DOI: 10.1016/j.clnu.2021.08.009] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 07/02/2021] [Accepted: 08/16/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND There is a worldwide shift towards increased consumption of ultra-processed foods (UPF) with concurrent rising prevalence of obesity. We examined the relationship between the consumption of UPF and weight gain and risk of obesity. METHODS This prospective cohort included 348 748 men and women aged 25-70 years. Participants were recruited between 1992 and 2000 from 9 European countries in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Two body weight measures were available, at baseline and after a median follow-up time of 5 years. Foods and drinks were assessed at baseline by dietary questionnaires and classified according to their degree of processing using NOVA classification. Multilevel mixed linear regression was used to estimate the association between UPF consumption and body weight change (kg/5 years). To estimate the relative risk of becoming overweight or obese after 5 years we used Poisson regression stratified according to baseline body mass index (BMI). RESULTS After multivariable adjustment, higher UPF consumption (per 1 SD increment) was positively associated with weight gain (0·12 kg/5 years, 95% CI 0·09 to 0·15). Comparing highest vs. lowest quintile of UPF consumption was associated with a 15% greater risk (95% CI 1·11, 1·19) of becoming overweight or obese in normal weight participants, and with a 16% greater risk (95% CI 1·09, 1·23) of becoming obese in participants who were overweight at baseline. CONCLUSIONS These results are supportive of public health campaigns to substitute UPF for less processed alternatives for obesity prevention and weight management.
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Affiliation(s)
- Reynalda Cordova
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France; Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Nathalie Kliemann
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Fernanda Rauber
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil; Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Eszter P Vamos
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, UK
| | - Renata Bertazzi Levy
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil; Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Karl-Heinz Wagner
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Vivian Viallon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Corinne Casagrande
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Geneviève Nicolas
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | | | - Jie Zhang
- Department of Public Health, Aarhus University, Denmark
| | - Jytte Halkjær
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Marie-Christine Boutron-Ruault
- French National Institute of Health and Medical Research (INSERM), Centre for Research in Epidemiology and Population Health (CESP), UVSQ, Université Paris-Saclay, Université Paris-Sud, France; Institut Gustave Roussy, F-94805, Villejuif, France
| | - Francesca Romana Mancini
- French National Institute of Health and Medical Research (INSERM), Centre for Research in Epidemiology and Population Health (CESP), UVSQ, Université Paris-Saclay, Université Paris-Sud, France; Institut Gustave Roussy, F-94805, Villejuif, France
| | - Nasser Laouali
- French National Institute of Health and Medical Research (INSERM), Centre for Research in Epidemiology and Population Health (CESP), UVSQ, Université Paris-Saclay, Université Paris-Sud, France; Institut Gustave Roussy, F-94805, Villejuif, France
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bernard Srour
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Franziska Jannasch
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany; NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Giovanna Masala
- Molecular and Lifestyle Epidemiology Branch, Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network ISPRO, Florence, Italy
| | - Sara Grioni
- Epidemiology and Prevention Unit Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Venezian, 120133, Milano, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica E Chirurgia Federico II University, Naples, Italy
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Jeroen W G Derksen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Charlotta Rylander
- Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway
| | - Guri Skeie
- Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Barcelona, Spain; Blanquerna School of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Miguel Rodriguez-Barranco
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - José María Huerta
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Murcia, Spain
| | - Aurelio Barricarte
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Navarra Public Health Institute, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | | | - Stina Ramne
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Stina Bodén
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Alicia K Heath
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, UK
| | - Paolo Vineis
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, UK
| | - Elisabete Weiderpass
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Carlos Augusto Monteiro
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil; Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Christopher Millett
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, UK
| | - Heinz Freisling
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France.
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12
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Lim CGY, Whitton C, Rebello SA, van Dam RM. Diet Quality and Lower Refined Grain Consumption are Associated With Less Weight Gain in a Multi-Ethnic Asian Adult Population. J Nutr 2021; 151:2372-2382. [PMID: 33978192 DOI: 10.1093/jn/nxab110] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 03/18/2021] [Accepted: 03/26/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND The prevalence of obesity is increasing in many Asian countries. However, longitudinal data on the impacts of dietary factors on weight gain in Asian populations are sparse. OBJECTIVES We evaluated the relationship between changes in intakes of nutrients, foods, and beverages and diet quality and long-term changes in body weight. METHODS We used data (n = 3064) from the Singapore Multi-Ethnic Cohort, a prospective cohort including Chinese, Indian, and Malay residents aged 21-65 years. Dietary intakes were assessed using an FFQ, and body weight and waist circumference were measured during health examinations. Diet quality was evaluated using the Dietary Approaches to Stop Hypertension (DASH) and Alternative Healthy Eating Index (AHEI-2010) scores. Data were collected at baseline (2004-2010) and follow-up (2011-2016), with a mean follow-up of 6.0 years. Linear regression was used to assess the associations between dietary changes and weight change, adjusted for socio-demographic and lifestyle variables. RESULTS Improvements in dietary quality scores (DASH, -0.34 kg per 5 points; AHEI-2010, -0.35 kg per 10 points) and replacement of carbohydrates with protein (-0.44 kg per 5% of energy) were significantly associated with less weight gain. Increased intakes of white rice (+0.25 kg per serving/d), soft drinks (+0.69 kg), red meat (+0.58 kg), and poultry with skin (+0.74 kg) were directly associated with weight gain. The replacement of 1 serving per day of white rice with whole grains (-0.68 kg), vegetables (-0.33 kg), poultry without skin (-0.79 kg), and eggs (-0.87 kg) was associated with less weight gain. Similar associations were observed between changes in dietary factors and changes in waist circumference. CONCLUSIONS Among Asian adults, increasing dietary quality, reducing soft drink consumption, and replacing white rice with whole grains, vegetables, and selected high-protein foods was associated with less weight gain.
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Affiliation(s)
- Charlie G Y Lim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Clare Whitton
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.,School of Public Health, Curtin University, Perth, Australia
| | - Salome A Rebello
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.,Department of Nutrition and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Patriota P, Guessous I, Marques-Vidal P. No changes in dietary intake after quitting smoking; a prospective study in Switzerland. BMC Nutr 2021; 7:34. [PMID: 34256867 PMCID: PMC8278689 DOI: 10.1186/s40795-021-00440-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 05/10/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND After quitting smoking, quitters frequently increase their weight and change their dietary intake. Still, most studies on the topic are over 20 years old and focused on few dietary markers. We analysed the changes in weight and dietary intake after quitting smoking using a large panel of dietary markers. METHODS Prospective study including 5064 participants, 169 of whom (3.3%) quitted during a median follow-up of 5 years. Dietary intake was assessed using a food frequency questionnaire. Participants were excluded if they lacked dietary data or reported extreme total energy intakes (TEI) < 850 or > 4000 kcal/day. RESULTS Data from 128 participants (43.8% women, aged 56.0 ± 10.0 years) were used. After quitting smoking, mean weight increased 2.1 ± 0.7 kg; the majority (58%) of the participants gained over 1 kg, and only 7.1% were on a diet to reduce their weight. Total protein intake increased from (median [interquartile range]) 14.4 [12.9-16.4] to 15.1 [13.4-17.9] % of total energy intake (TEI), p = 0.008, while animal protein intake increased from 9.7 [8.0-12.1] to 10.8 [8.5-13.5] %TEI, p = 0.011. Fish intake increased from 27 [17-45] to 37 [19-55] g/day, p = 0.016 and dairy intake decreased from 177 [94-288] to 150 [77-243] g/day, p = 0.009. No other changes were found. Among the 68 (53%) participants who reported time since quitting, quitting for <=1 year led to a decreased consumption of fruits, while the opposite was found for participants who quit for longer than one year. No associations were found between weight or dietary changes and time since quitting. CONCLUSIONS People who quit smoking tend to gain weight, do not significantly change their dietary intake, and seem to make little effort to prevent weight gain. Systematic dietary support should be provided to all smokers wishing to quit.
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Affiliation(s)
- Pollyanna Patriota
- Department of Nutrition, Institute of Health Sciences, Federal University of Triangulo Mineiro, Uberaba, Brazil
| | - Idris Guessous
- Division of primary care medicine, Department of primary care medicine, Geneva university hospitals, Geneva, Switzerland
| | - Pedro Marques-Vidal
- Department of medicine, internal medicine, Lausanne university hospital (CHUV) and University of Lausanne, rue du Bugnon 46, 1011, Lausanne, Switzerland.
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14
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Fruit and vegetable consumption in relation to primary headaches: the MEPHASOUS study. Eat Weight Disord 2021; 26:1617-1626. [PMID: 32789621 DOI: 10.1007/s40519-020-00984-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Accepted: 06/25/2020] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Fruit and vegetable consumption may beneficially affect the odds of primary headaches due to their antioxidant contents. However, no study has examined the association between fruit and vegetable consumption and primary headaches among university students. AIM To assess the relation between fruit and vegetable intakes and primary headaches among Iranian university students. METHODS Overall, 83,214 university students with an age range of ≥ 18 years participated in the present study. Dietary intakes and also data on confounding variables were collected using validated questionnaires. Data on dietary intakes were collected using a validated dietary habits questionnaire. We used the International Classification of Headache Disorders-3 (ICHD-3) criteria to define primary headaches. RESULTS Fruit consumption was negatively associated with primary headaches; such that after controlling for potential confounders, greater intake of fruits was associated with 30% lower odds of primary headaches (OR: 0.70, 95% CI 0.58-0.84). Such an inverse association was also found for vegetable consumption. In the fully adjusted model, students in the top category of vegetable consumption were 16% less likely to have primary headaches compared with those in the bottom category (OR: 0.84, 95% CI 0.74-0.95). Subgroup analysis revealed that fruit consumption was inversely associated with primary headaches in females, unlike males, and vegetable consumption was inversely associated with these headaches in males, as opposed to females. Moreover, fruit and vegetable consumption was related to lower odds of primary headaches in normal-weight students. CONCLUSION Fruit and vegetable intakes were associated with reduced odds of primary headaches. LEVEL OF EVIDENCE Level III, cross-sectional analytic studies.
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15
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Abstract
BACKGROUND Weight gain following smoking cessation reduces the incentive to quit, especially among women. Exercise and diet interventions may reduce postcessation weight gain, but their long-term effect has not been estimated in randomized trials. METHODS We estimated the long-term reduction in postcessation weight gain among women under smoking cessation alone or combined with (1) moderate-to-vigorous exercise (15, 30, 45, 60 minutes/day), and (2) exercise and diet modification (≤2 servings/week of unprocessed red meat; ≥5 servings/day of fruits and vegetables; minimal sugar-sweetened beverages, sweets and desserts, potato chips or fried potatoes, and processed red meat). RESULTS Among 10,087 eligible smokers in the Nurses' Health Study and 9,271 in the Nurses' Health Study II, the estimated 10-year mean weights under smoking cessation were 75.0 (95% CI = 74.7, 75.5) kg and 79.0 (78.2, 79.6) kg, respectively. Pooling both cohorts, the estimated postcessation mean weight gain was 4.9 (7.3, 2.6) kg lower under a hypothetical strategy of exercising at least 30 minutes/day and diet modification, and 5.9 (8.0, 3.8) kg lower under exercising at least 60 minutes/day and diet modification, compared with smoking cessation without exercising. CONCLUSIONS In this study, substantial weight gain occurred in women after smoking cessation, but we estimate that exercise and dietary modifications could have averted most of it.
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Akbarzade Z, Djafarian K, Clark CCT, Lesani A, Shahinfar H, Shab-Bidar S. The association between major dietary patterns at dinner and obesity in adults living in Tehran: A population-based study. J Cardiovasc Thorac Res 2021; 12:269-279. [PMID: 33510875 PMCID: PMC7828749 DOI: 10.34172/jcvtr.2020.45] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 09/18/2020] [Indexed: 12/23/2022] Open
Abstract
Introduction: Findings of studies on the association between evening meal and obesity are inconclusive. Thus, we sought to investigate the association between major dietary patterns at evening meal and obesity among apparently healthy adults in Tehran. Methods: This cross-sectional research was conducted using 833 adult men and women who lived in Tehran (age range: 20-59 years). Their dietary intake was evaluated by three, 24-h dietary recalls(24hDRs), and major patterns were identified using exploratory factor analysis. The association between major dietary patterns at dinner with general and central obesity was assessed using logistic regression analysis. Results: We identified 3 major dietary patterns at dinner including "prudent", "potatoes and eggs" and"Western" patterns. There was no significant relationship between prudent and general obesity (OR:0.76, 95% CI = 0.21, 1.15, P value = 0.20), and, a significant association was not observed between potatoes and eggs and general obesity (OR: 0.89, 95% CI = 0.60, 1.32, P value = 0.57) also, there was no significant relationship between Western dietary pattern and general obesity in this study (OR: 0.95,95% CI = 0.63, 1.43, P value = 0.82). Further analyses showed that there was no significant relationship between central obesity with any of the dietary patterns. Conclusion: The results of this study do not support a possible relationship between major dietary patterns at dinner with general and central obesity. However, the presented findings should be confirmed in prospective studies.
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Affiliation(s)
- Zahra Akbarzade
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Kurosh Djafarian
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Cain C T Clark
- Centre for Sport, Exercise, and Life Sciences, Coventry University, Coventry, CV15FB, UK
| | - Azadeh Lesani
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Shahinfar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Sakineh Shab-Bidar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
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Cordova R, Knaze V, Viallon V, Rust P, Schalkwijk CG, Weiderpass E, Wagner KH, Mayen-Chacon AL, Aglago EK, Dahm CC, Overvad K, Tjønneland A, Halkjær J, Mancini FR, Boutron-Ruault MC, Fagherazzi G, Katzke V, Kühn T, Schulze MB, Boeing H, Trichopoulou A, Karakatsani A, Thriskos P, Masala G, Krogh V, Panico S, Tumino R, Ricceri F, Spijkerman A, Boer J, Skeie G, Rylander C, Borch KB, Quirós JR, Agudo A, Redondo-Sánchez D, Amiano P, Gómez-Gómez JH, Barricarte A, Ramne S, Sonestedt E, Johansson I, Esberg A, Tong T, Aune D, Tsilidis KK, Gunter MJ, Jenab M, Freisling H. Dietary intake of advanced glycation end products (AGEs) and changes in body weight in European adults. Eur J Nutr 2020; 59:2893-2904. [PMID: 31701336 DOI: 10.1007/s00394-019-02129-8] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 10/23/2019] [Indexed: 12/17/2022]
Abstract
PURPOSE Advanced glycation end products (AGEs) can be formed in foods by the reaction of reducing sugars with proteins, and have been shown to induce insulin resistance and obesity in experimental studies. We examined the association between dietary AGEs intake and changes in body weight in adults over an average of 5 years of follow-up. METHODS A total of 255,170 participants aged 25-70 years were recruited in ten European countries (1992-2000) in the PANACEA study (Physical Activity, Nutrition, Alcohol, Cessation of smoking, Eating out of home in relation to Anthropometry), a sub-cohort of the EPIC (European Prospective Investigation into Cancer and Nutrition). Body weight was measured at recruitment and self-reported between 2 and 11 years later depending on the study center. A reference database for AGEs was used containing UPLC-MS/MS-measured Nε-(carboxymethyl)-lysine (CML), Nε-(1-carboxyethyl)-lysine (CEL), and Nδ-(5-hydro-5-methyl-4-imidazolon-2-yl)-ornithine (MG-H1) in 200 common European foods. This reference database was matched to foods and decomposed recipes obtained from country-specific validated dietary questionnaires in EPIC and intake levels of CEL, CML, and MG-H1 were estimated. Associations between dietary AGEs intake and body weight change were estimated separately for each of the three AGEs using multilevel mixed linear regression models with center as random effect and dietary AGEs intake and relevant confounders as fixed effects. RESULTS A one-SD increment in CEL intake was associated with 0.111 kg (95% CI 0.087-0.135) additional weight gain over 5 years. The corresponding additional weight gain for CML and MG-H1 was 0.065 kg (0.041-0.089) and 0.034 kg (0.012, 0.057), respectively. The top six food groups contributing to AGEs intake, with varying proportions across the AGEs, were cereals/cereal products, meat/processed meat, cakes/biscuits, dairy, sugar and confectionary, and fish/shellfish. CONCLUSION In this study of European adults, higher intakes of AGEs were associated with marginally greater weight gain over an average of 5 years of follow-up.
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Affiliation(s)
- R Cordova
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - V Knaze
- Section of Early Detection and Prevention, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - V Viallon
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - P Rust
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - C G Schalkwijk
- Department of Internal Medicine, Laboratory of Metabolism and Vascular Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - E Weiderpass
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - K-H Wagner
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - A-L Mayen-Chacon
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - E K Aglago
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - C C Dahm
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - K Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - A Tjønneland
- Danish Cancer Society Research Center Copenhagen, Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - J Halkjær
- Danish Cancer Society Research Center Copenhagen, Copenhagen, Denmark
| | - F R Mancini
- CESP, Fac. de médecine, Univ. Paris-Sud, Fac. de médecine-UVSQ-INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - M-C Boutron-Ruault
- CESP, Fac. de médecine, Univ. Paris-Sud, Fac. de médecine-UVSQ-INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - G Fagherazzi
- CESP, Fac. de médecine, Univ. Paris-Sud, Fac. de médecine-UVSQ-INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - V Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - T Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - M B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutrition Science, University of Potsdam, Nuthetal, Germany
| | - H Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | | | - A Karakatsani
- Hellenic Health Foundation, Athens, Greece
- 2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, ATTIKON University Hospital, Haidari, Greece
| | - P Thriskos
- Hellenic Health Foundation, Athens, Greece
| | - G Masala
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network-ISPRO, Florence, Italy
| | - V Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - S Panico
- Dipartimento di Medicina Clinica E Chirurgia, Federico II University, Naples, Italy
| | - R Tumino
- Cancer Registry and Histopathology Unit, Azienda Sanitaria Provinciale (ASP) Ragusa, Ragusa, Italy
| | - F Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, Turin, TO, Italy
| | - A Spijkerman
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - J Boer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - G Skeie
- Department of Community Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway
| | - C Rylander
- Department of Community Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway
| | - K B Borch
- Department of Community Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway
| | - J R Quirós
- Public Health Directorate, Asturias, Spain
| | - A Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - D Redondo-Sánchez
- Andalusian School of Public Health. Biomedical Research Institute ibs.GRANADA, University of Granada, Granada, Spain
- CIBER of Epidemiology and Public Health, Madrid, Spain
| | - P Amiano
- CIBER of Epidemiology and Public Health, Madrid, Spain
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - J-H Gómez-Gómez
- Department of Epidemiology and Murcia Regional Health Council, Universidad de Murcia, Murcia, Spain
| | - A Barricarte
- CIBER of Epidemiology and Public Health, Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - S Ramne
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - E Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - I Johansson
- Department of Odontology, Umeå University, Umeå, Sweden
| | - A Esberg
- Department of Odontology, Umeå University, Umeå, Sweden
| | - T Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - D Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - K K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine University Campus Ioannina, Ioannina, Greece
| | - M J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - M Jenab
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC-WHO), 150 cours Albert Thomas, CEDEX 08, 69372, Lyon, France.
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18
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Zheng JS, Sharp SJ, Imamura F, Chowdhury R, Gundersen TE, Steur M, Sluijs I, van der Schouw YT, Agudo A, Aune D, Barricarte A, Boeing H, Chirlaque MD, Dorronsoro M, Freisling H, El-Fatouhi D, Franks PW, Fagherazzi G, Grioni S, Gunter MJ, Kyrø C, Katzke V, Kühn T, Khaw KT, Laouali N, Masala G, Nilsson PM, Overvad K, Panico S, Papier K, Quirós JR, Rolandsson O, Redondo-Sánchez D, Ricceri F, Schulze MB, Spijkerman AMW, Tjønneland A, Tong TYN, Tumino R, Weiderpass E, Danesh J, Butterworth AS, Riboli E, Forouhi NG, Wareham NJ. Association of plasma biomarkers of fruit and vegetable intake with incident type 2 diabetes: EPIC-InterAct case-cohort study in eight European countries. BMJ 2020; 370:m2194. [PMID: 32641421 PMCID: PMC7341350 DOI: 10.1136/bmj.m2194] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/02/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To investigate the association of plasma vitamin C and carotenoids, as indicators of fruit and vegetable intake, with the risk of type 2 diabetes. DESIGN Prospective case-cohort study. SETTING Populations from eight European countries. PARTICIPANTS 9754 participants with incident type 2 diabetes, and a subcohort of 13 662 individuals from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort of 340 234 participants: EPIC-InterAct case-cohort study. MAIN OUTCOME MEASURE Incident type 2 diabetes. RESULTS In a multivariable adjusted model, higher plasma vitamin C was associated with a lower risk of developing type 2 diabetes (hazard ratio per standard deviation 0.82, 95% confidence interval 0.76 to 0.89). A similar inverse association was shown for total carotenoids (hazard ratio per standard deviation 0.75, 0.68 to 0.82). A composite biomarker score (split into five equal groups), comprising vitamin C and individual carotenoids, was inversely associated with type 2 diabetes with hazard ratios 0.77, 0.66, 0.59, and 0.50 for groups 2-5 compared with group 1 (the lowest group). Self-reported median fruit and vegetable intake was 274 g/day, 396 g/day, and 508 g/day for participants in categories defined by groups 1, 3, and 5 of the composite biomarker score, respectively. One standard deviation difference in the composite biomarker score, equivalent to a 66 (95% confidence interval 61 to 71) g/day difference in total fruit and vegetable intake, was associated with a hazard ratio of 0.75 (0.67 to 0.83). This would be equivalent to an absolute risk reduction of 0.95 per 1000 person years of follow up if achieved across an entire population with the characteristics of the eight European countries included in this analysis. CONCLUSIONS These findings indicate an inverse association between plasma vitamin C, carotenoids, and their composite biomarker score, and incident type 2 diabetes in different European countries. These biomarkers are objective indicators of fruit and vegetable consumption, and suggest that diets rich in even modestly higher fruit and vegetable consumption could help to prevent development of type 2 diabetes.
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Affiliation(s)
- Ju-Sheng Zheng
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Rajiv Chowdhury
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | | | - Marinka Steur
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Ivonne Sluijs
- Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Yvonne T van der Schouw
- Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology, Group of Research on Nutrition and Cancer, Bellvitge Biomedical Research Institute, L'Hospitalet of Llobregat, Barcelona, Spain
| | - Dagfinn Aune
- School of Public Health, Imperial College London, London, UK
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | | | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - María-Dolores Chirlaque
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | | | | | - Douae El-Fatouhi
- Centre of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France
| | - Paul W Franks
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Guy Fagherazzi
- Centre of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France
- Luxembourg Institute of Health (LIH), Department of Population Health, Strassen, Luxembourg
| | - Sara Grioni
- Epidemiology and Prevention Unit, Milan, Italy
| | - Marc J Gunter
- International Agency for Research on Cancer, Lyon, France
| | - Cecilie Kyrø
- Danish Cancer Society Research Centre, Copenhagen, Denmark
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Nasser Laouali
- Centre of Research in Epidemiology and Population Health, UMR 1018 Inserm, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network, Florence, Italy
| | - Peter M Nilsson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aarhus, Denmark
| | - Salvatore Panico
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Daniel Redondo-Sánchez
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Andalusian School of Public Health, Granada, Spain
- Institute of Biosanitary Research of Granada, Granada, Spain
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, Turin, Italy
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Centre for Diabetes Research, Neuherberg, Germany
- University of Potsdam, Institute of Nutritional Sciences, Potsdam, Germany
| | | | | | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Azienda Sanitaria Provinciale, Ragusa, Italy
| | | | - John Danesh
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Cambridge Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, UK
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - Adam S Butterworth
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Elio Riboli
- School of Public Health, Imperial College London, London, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
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Dreher ML, Ford NA. A Comprehensive Critical Assessment of Increased Fruit and Vegetable Intake on Weight Loss in Women. Nutrients 2020; 12:nu12071919. [PMID: 32610460 PMCID: PMC7399879 DOI: 10.3390/nu12071919] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 06/23/2020] [Accepted: 06/24/2020] [Indexed: 12/16/2022] Open
Abstract
No previous reviews or meta-analyses have specifically assessed the effects of increased fruit and vegetable (FV) intake on weight loss with a primary focus on women. Several studies show differences between men and women in how increased FV intake affects their weight loss and maintenance, risk of becoming overweight or obese, and the influence of eating speed and frequency on weight control. This analysis provides a comprehensive and visual assessment of the effects of increasing FV intake and long-term weight change from observational studies and weight loss from randomized controlled trials (RCTs) in women. Consistent evidence from prospective studies and RCTs shows that increased intake of FV is a chief contributor to weight loss in women. This effect is enhanced with concurrent dietary restriction of high energy density (ED) or high-fat foods. Yet, the type of FV differentially impacts weight loss in women. Whole FV intake may influence weight through a variety of mechanisms including a reduction in eating rate, providing a satisfying, very-low to low energy density, low glycemic load or low-fat content. Also, FV are the primary source of dietary fiber, which can provide additional support for weight loss in women when consumed at adequate levels.
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Affiliation(s)
- Mark L. Dreher
- Nutrition Science Solutions, LLC, 900 S Rainbow Ranch Rd, Wimberley, TX 78676, USA;
| | - Nikki A. Ford
- Avocado Nutrition Center, 25212 Marguerite Pkwy Ste. 250, Mission Viejo, CA 92692, USA
- Correspondence: ; Tel.: +1-949-341-3250
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20
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Associations between changes in fruit and vegetable consumption and weight change in Japanese adults. Eur J Nutr 2020; 60:217-227. [PMID: 32253544 DOI: 10.1007/s00394-020-02236-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 03/25/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Fruits and vegetables may induce greater satiety, reduce hunger, decrease energy intake, and modulate energy metabolism, thereby playing a role in weight loss. OBJECTIVE To determine the associations between changes in fruit and vegetable consumption and weight change over a 5-year interval in Japanese adults. METHODS This cohort study included 54,015 subjects (54.6% female, mean age 56.5 years) of the Japan Public Health Center-based Prospective Cohort Study who had no known history of major chronic diseases at baseline. Data on fruit and vegetable consumption were collected using a validated food frequency questionnaire. Body weight was self-reported. We used multivariable linear mixed-effects regression models to examine the associations between changes in fruit and vegetable consumption and change in body weight. RESULTS On average, body weight decreased by 25 g [95% confidence interval (CI), 3, 47] for every 100 g/d increase in total vegetable consumption. Change in fruit consumption was nonlinearly associated with weight change. Fruit consumption was directly associated with weight change among subjects who increased consumption (70 g; 95% CI, 39, 101) but was not associated with weight change among subjects who reduced or did not change fruit consumption. These associations did not vary by sex, age, and body mass index (BMI) at baseline. The association with vegetables was restricted to yellow/red vegetables (- 74 g; 95% CI, - 129, - 18) and allium vegetables (- 129 g; 95% CI, - 231, - 28). Lower-fiber vegetables were inversely associated with weight change, whereas lower-fiber fruits or higher-energy fruits were directly associated with weight change beyond 0 g/d change in consumption. CONCLUSIONS Change in vegetable consumption was inversely associated with weight change while fruit consumption was positively associated with weight change among subjects who increased consumption. The influence of fruits and vegetables on weight change may depend on the characteristics of the fruits and vegetables.
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21
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Rowles JL, Erdman JW. Carotenoids and their role in cancer prevention. Biochim Biophys Acta Mol Cell Biol Lipids 2020; 1865:158613. [PMID: 31935448 DOI: 10.1016/j.bbalip.2020.158613] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Revised: 01/03/2020] [Accepted: 01/05/2020] [Indexed: 12/21/2022]
Abstract
Approximately two of every five people will develop cancer in their lifetime. Dietary modifications are one of the most promising lifestyle changes that can adjust the risk of developing cancer by nearly 40%. Carotenoids are a diverse group of natural pigments and are present in many fruits and vegetables. The data surrounding carotenoids and their potential roles in carcinogenesis have been rapidly growing over the past two decades. This review summarizes the literature surrounding the associations between the most six common carotenoids in the diet and ten of the most commonly diagnosed cancers. In this study, preclinical, epidemiological, and toxicology data were reviewed. Data from these studies suggest that several carotenoids might provide a beneficial impact on reducing carcinogenesis. Further studies are needed to determine the causal relationships between individual carotenoids and cancer incidence and progression. This article is part of a Special Issue entitled Carotenoids recent advances in cell and molecular biology edited by Johannes von Lintig and Loredana Quadro.
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Affiliation(s)
- Joe L Rowles
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
| | - John W Erdman
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America; Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America.
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Ford A, Eadie D, Adams J, Adamson A, White M, Stead M. Parents' and carers' awareness and perceptions of UK supermarket policies on less healthy food at checkouts: A qualitative study. Appetite 2019; 147:104541. [PMID: 31778731 DOI: 10.1016/j.appet.2019.104541] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 10/31/2019] [Accepted: 11/25/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND In the retail environment strategic placement of food influences purchasing. Foods placed at checkouts have tended to be less healthy. In response to consumer concern some UK supermarkets voluntarily committed to removing less healthy food from their checkouts. We explored qualitatively the perceptions and experiences of parents and carers of younger children regarding food at supermarket checkouts, supermarket checkout food policies, and other supermarket stimuli which influences purchasing. METHODS Twelve focus groups were conducted in urban central Scotland with 91 parents/carers of primary school aged children (aged 5-11 years). RESULTS The availability of less healthy foods at checkouts was perceived as problematic, encouraging purchase requests by children and impulse buys by adults. Parents/carers were aware of a change in some supermarkets where less healthy foods had been replaced with healthier items and they were supportive of supermarket policies that placed restrictions on checkout food. Many parents/carers welcomed product-free checkouts, however the whole supermarket was perceived as manipulative and stimulating. CONCLUSION Voluntary supermarket policies which clearly and consistently restrict the placement of less healthy foods at checkouts have been welcomed by parents/carers of young children. Given that marketing strategies throughout the whole supermarket were viewed as problematic, public health policymakers and advocacy groups may want to encourage supermarkets to develop broader policies to support healthier food purchasing.
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Affiliation(s)
- Allison Ford
- Institute for Social Marketing, University of Stirling, Stirling, FK9 4LA, UK.
| | - Douglas Eadie
- Institute for Social Marketing, University of Stirling, Stirling, FK9 4LA, UK
| | - Jean Adams
- Centre for Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge, UK
| | - Ashley Adamson
- Fuse-the Centre for Translational Research in Public Health and Institute of Health & Society, Newcastle University, UK
| | - Martin White
- Centre for Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge, UK
| | - Martine Stead
- Institute for Social Marketing, University of Stirling, Stirling, FK9 4LA, UK
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de Sousa JR, Botelho RBA, Akutsu RDCCA, Zandonadi RP. Nutritional Quality of Breakfast Consumed by the Low-Income Population in Brazil: A Nationwide Cross-Sectional Survey. Nutrients 2019; 11:nu11061418. [PMID: 31238519 PMCID: PMC6628221 DOI: 10.3390/nu11061418] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 06/15/2019] [Accepted: 06/20/2019] [Indexed: 01/02/2023] Open
Abstract
Objective: This study aimed to characterize the nutritional quality of breakfast consumed by the low-income Brazilian population. Methods: A cross-sectional study was conducted with a sample of 1547 low-income individuals attending 36 Community Restaurants (CRs) in Brazil. Food consumption was analyzed by the frequency of food groups presented in the 24 h recall for three days. The nutritional consumption consisted of the analysis of the total energetic value (TEV) and the macronutrients, fibers, monounsaturated fatty acids, saturated fatty acids, trans fatty acids, calcium, and sodium. The nutrients were evaluated considering the percentage of contribution concerning the daily recommendation of consumption. Results: Among the 4641 breakfasts expected to be consumed and reported, 17.2% (n = 797) of the consumers did not consume breakfast. Therefore, we analyzed the 3844 breakfasts. The analysis of food groups showed a high consumption of dairy and cereals, and low consumption of fruits, roots/tubers, and meat/eggs. The percentages of energy contribution of the macronutrients in the TEV were adequate for a balanced diet. The mean intake of monounsaturated fatty acids was low, and the contribution percentages of saturated fatty acids and trans fatty acids were within the recommendations. The mean fiber intake of the breakfast was low, agreeing with the result of low fruit consumption. Calcium intake covered 73.49% of that expected for this meal, and sodium intake was adequate in breakfast. Conclusion: The individuals studied consumed a nutritionally balanced breakfast. Although dairy was one of the most consumed groups, calcium consumption was low, indicating the need to consume higher portions of food sources of this nutrient.
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Affiliation(s)
- Janice Ramos de Sousa
- Department of Nutrition, Faculty of Health Sciences, University of Brasilia, Brasilia 70910-900, Brazil
| | - Raquel B A Botelho
- Department of Nutrition, Faculty of Health Sciences, University of Brasilia, Brasilia 70910-900, Brazil.
| | - Rita de Cássia C A Akutsu
- Department of Nutrition, Faculty of Health Sciences, University of Brasilia, Brasilia 70910-900, Brazil.
| | - Renata Puppin Zandonadi
- Department of Nutrition, Faculty of Health Sciences, University of Brasilia, Brasilia 70910-900, Brazil.
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Guyenet SJ. Impact of Whole, Fresh Fruit Consumption on Energy Intake and Adiposity: A Systematic Review. Front Nutr 2019; 6:66. [PMID: 31139631 PMCID: PMC6518666 DOI: 10.3389/fnut.2019.00066] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 04/23/2019] [Indexed: 11/13/2022] Open
Abstract
Background: The energy content of whole, fresh fruit derives primarily from simple sugars, which are currently under heightened scrutiny for their potential contribution to obesity and chronic disease risk. Yet fruit also has a relatively low energy density, moderate palatability/reward value, and high fiber content, which together may limit energy intake. Although reasoned arguments can be made that fruit is fattening or slimming, the question is best resolved empirically. Methods: Methods were preregistered with PROSPERO (CRD42018111830). The primary outcome is the impact of whole, fresh fruit consumption on measures of adiposity including body weight in randomized controlled trials (RCTs). Secondary outcomes are the impact of whole, fresh fruit consumption on energy intake in RCTs, and the association between whole, fresh fruit consumption and changes in measures of adiposity in prospective observational studies. CENTRAL and PubMed databases were searched through October 2018. Cochrane risk of bias tool was used to assess risk of bias in RCTs, and the GRADE method was used to judge and convey the certainty of conclusions. Reporting follows PRISMA guidelines. Results: RCTs, and particularly those of higher quality, suggest that increasing whole, fresh fruit consumption promotes weight maintenance or modest weight loss over periods of 3-24 weeks (moderate certainty), with limited evidence suggesting that a high intake of fruit favors weight loss among people with overweight or obesity. Consistent with this, single-meal RCTs suggest that consuming whole, fresh fruit tends to decrease energy intake, particularly when consumed prior to a meal or when displacing more energy-dense foods (moderate certainty). Prospective observational studies suggest that habitually higher fruit intake is not associated with weight change, or is associated with modest protection against weight gain, over five or more years. Conclusions: Current evidence suggests that whole, fresh fruit consumption is unlikely to contribute to excess energy intake and adiposity, but rather has little effect on these outcomes or constrains them modestly. Single-meal RCTs, RCTs lasting 3-24 weeks, and long-term observational studies are relatively consistent in supporting this conclusion. Whole, fresh fruit probably does not contribute to obesity and may have a place in the prevention and management of excess adiposity.
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25
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Raptou E, Papastefanou G. An empirical investigation of the impact of smoking on body weight using an endogenous treatment effects model approach: the role of food consumption patterns. Nutr J 2018; 17:101. [PMID: 30396350 PMCID: PMC6217773 DOI: 10.1186/s12937-018-0408-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 10/23/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND This study explored the influence of cigarette smoking and food consumption patterns on BMI after adjusting for various socio-demographic characteristics. Since weight-based stereotypes may have an impact on smoking behaviour and both obesity and smoking have been associated with detrimental health effects, an interdependency between them is quite possible. METHODS Cross-sectional data were collected via a formal standardized questionnaire administered in personal interviews and two additional self-completion questionnaires from a random sample of 3471 German adults. The empirical framework considered potential endogeneity between smoking and body weight by employing an endogenous treatment effects model with an ordered outcome. The estimations derived from the endogenous treatment effects approach were also compared to the univariate ordered probit model results. RESULTS Our findings showed that ignoring potential endogeneity may affect both the statistical significance of the smoking estimate and the direction of the influence of smoking on BMI. Smoking was positively associated with BMI in both male (β = 1.236, p < 0.01) and female (β = 0.634, p < 0.10) participants. Smokers presented a 23.1% higher risk of obesity and a 24.3% lower likelihood of being within a healthy weight range. Male smokers also appeared to have a considerably augmented probability of being obese compared to their female counterparts (23.6% vs 15.1%). The relationship between smoking and BMI may be attributed to dietary practices, since smoking was correlated with poor dietary habits characterized by the frequent intake of more energy-dense foods (meat products and white-toasted bread) and less frequent consumption of healthy food items, such as whole-grain bread, vegetables and fruits. Concerning the impact of eating habits on body weight, frequent consumption of meat products and confectionery was found to have a direct association with BMI in both genders. Furthermore, white-toasted bread consumption was negatively linked with body weight in males (β = - 0.337, p < 0.01). CONCLUSIONS Our findings raised questions about the general belief that smoking is an effective weight control tool. Health interventions should be oriented toward a simultaneous decrease in smoking and obesity, since both behaviours seem to be interdependent. Nutrition programmes should also be designed according to the characteristics of different target groups in order to promote a healthy lifestyle.
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Affiliation(s)
- Elena Raptou
- Department of Agricultural Development, Laboratory of Management and Marketing, Democritus University of Thrace, Orestiada, Greece
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26
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Nour M, Lutze SA, Grech A, Allman-Farinelli M. The Relationship between Vegetable Intake and Weight Outcomes: A Systematic Review of Cohort Studies. Nutrients 2018; 10:E1626. [PMID: 30400139 PMCID: PMC6266069 DOI: 10.3390/nu10111626] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 10/19/2018] [Accepted: 10/24/2018] [Indexed: 12/17/2022] Open
Abstract
The relationship between vegetable consumption and measures of adiposity was assessed in cohort studies. Seven databases were searched from inception until February 2018. The quality of individual studies was assessed using the Joanna Briggs Institute Critical Appraisal of Cohort Studies tool. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) system was applied to determine the quality of the body of evidence. Ten studies were included. Six measured change in vegetable intake over time. Two showed that increasing vegetable consumption resulted in weight loss of 0.09⁻0.1 kg over four years (p < 0.001). Increased vegetable intake was also associated with a reduced risk of weight gain and overweight or obesity (Odds ratios (ORs) ranged from 0.18 to 0.88) in other studies. Four studies measured vegetable intake at the baseline only. One showed that intakes >4 servings/day reduced the risk of weight gain (OR 0.27 (95% confidence interval (CI) 0.08⁻0.99) and another found an inverse association with waist circumference in women (-0.36 cm per vegetable serving/day). This review provides moderate quality evidence for an inverse association between vegetable intake and weight-related outcomes in adults. When these findings are coupled with no apparent harm from vegetable consumption, the evidence-base can be used with acceptable confidence to guide practice and policy.
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Affiliation(s)
- Monica Nour
- Charles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia.
| | - Sarah Alice Lutze
- Charles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia.
| | - Amanda Grech
- Charles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia.
| | - Margaret Allman-Farinelli
- Charles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia.
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27
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Freisling H, Noh H, Slimani N, Chajès V, May AM, Peeters PH, Weiderpass E, Cross AJ, Skeie G, Jenab M, Mancini FR, Boutron-Ruault MC, Fagherazzi G, Katzke VA, Kühn T, Steffen A, Boeing H, Tjønneland A, Kyrø C, Hansen CP, Overvad K, Duell EJ, Redondo-Sánchez D, Amiano P, Navarro C, Barricarte A, Perez-Cornago A, Tsilidis KK, Aune D, Ward H, Trichopoulou A, Naska A, Orfanos P, Masala G, Agnoli C, Berrino F, Tumino R, Sacerdote C, Mattiello A, Bueno-de-Mesquita HB, Ericson U, Sonestedt E, Winkvist A, Braaten T, Romieu I, Sabaté J. Nut intake and 5-year changes in body weight and obesity risk in adults: results from the EPIC-PANACEA study. Eur J Nutr 2018; 57:2399-2408. [PMID: 28733927 DOI: 10.1007/s00394-017-1513-0] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Accepted: 07/15/2017] [Indexed: 01/10/2023]
Abstract
PURPOSE There is inconsistent evidence regarding the relationship between higher intake of nuts, being an energy-dense food, and weight gain. We investigated the relationship between nut intake and changes in weight over 5 years. METHODS This study includes 373,293 men and women, 25-70 years old, recruited between 1992 and 2000 from 10 European countries in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Habitual intake of nuts including peanuts, together defined as nut intake, was estimated from country-specific validated dietary questionnaires. Body weight was measured at recruitment and self-reported 5 years later. The association between nut intake and body weight change was estimated using multilevel mixed linear regression models with center/country as random effect and nut intake and relevant confounders as fixed effects. The relative risk (RR) of becoming overweight or obese after 5 years was investigated using multivariate Poisson regressions stratified according to baseline body mass index (BMI). RESULTS On average, study participants gained 2.1 kg (SD 5.0 kg) over 5 years. Compared to non-consumers, subjects in the highest quartile of nut intake had less weight gain over 5 years (-0.07 kg; 95% CI -0.12 to -0.02) (P trend = 0.025) and had 5% lower risk of becoming overweight (RR 0.95; 95% CI 0.92-0.98) or obese (RR 0.95; 95% CI 0.90-0.99) (both P trend <0.008). CONCLUSIONS Higher intake of nuts is associated with reduced weight gain and a lower risk of becoming overweight or obese.
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Affiliation(s)
- Heinz Freisling
- Nutritional Methodology and Biostatistics Group, Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), 150, Cours Albert Thomas, 69372, Lyon Cedex 08, France.
| | - Hwayoung Noh
- Nutritional Methodology and Biostatistics Group, Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), 150, Cours Albert Thomas, 69372, Lyon Cedex 08, France
| | - Nadia Slimani
- Nutritional Epidemiology Group, Section of Nutrition and Metabolism, International Agency for Research On Cancer (IARC-WHO), Lyon, France
| | - Véronique Chajès
- Nutritional Epidemiology Group, Section of Nutrition and Metabolism, International Agency for Research On Cancer (IARC-WHO), Lyon, France
| | - Anne M May
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Petra H Peeters
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Mazda Jenab
- Nutritional Epidemiology Group, Section of Nutrition and Metabolism, International Agency for Research On Cancer (IARC-WHO), Lyon, France
| | - Francesca R Mancini
- Inserm U1018, Gustave Roussy Institute, CESP, Villejuif, France
- University Paris-Saclay, University Paris-Sud, Villejuif, France
| | - Marie-Christine Boutron-Ruault
- Inserm U1018, Gustave Roussy Institute, CESP, Villejuif, France
- University Paris-Saclay, University Paris-Sud, Villejuif, France
| | - Guy Fagherazzi
- Inserm U1018, Gustave Roussy Institute, CESP, Villejuif, France
- University Paris-Saclay, University Paris-Sud, Villejuif, France
| | - Verena A Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Annika Steffen
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | | | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Camilla P Hansen
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Eric J Duell
- Unit of Nutrition and Cancer, IDIBELL, Catalan Institute of Oncology, Barcelona, Spain
| | - Daniel Redondo-Sánchez
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.GRANADA, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Pilar Amiano
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - Carmen Navarro
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain
| | - Aurelio Barricarte
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA) Pamplona, Pamplona, Spain
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Bjørknes University College, Oslo, Norway
| | - Heather Ward
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Androniki Naska
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Philippos Orfanos
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Cancer Research and Prevention Institute, ISPO, Florence, Italy
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Franco Berrino
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Unit, "Civic-M.P.Arezzo" Hospital, ASP Ragusa, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Amalia Mattiello
- Dipartimento di Medicina Clinica E Chirurgia, Federico II University, Naples, Italy
| | - H Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Ulrika Ericson
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Emily Sonestedt
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Tonje Braaten
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Isabelle Romieu
- Nutritional Epidemiology Group, Section of Nutrition and Metabolism, International Agency for Research On Cancer (IARC-WHO), Lyon, France
| | - Joan Sabaté
- Center for Nutrition, Healthy Lifestyle and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, USA
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Hu Y, Zong G, Liu G, Wang M, Rosner B, Pan A, Willett WC, Manson JE, Hu FB, Sun Q. Smoking Cessation, Weight Change, Type 2 Diabetes, and Mortality. N Engl J Med 2018; 379:623-632. [PMID: 30110591 PMCID: PMC6165582 DOI: 10.1056/nejmoa1803626] [Citation(s) in RCA: 158] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Whether weight gain after smoking cessation attenuates the health benefits of quitting is unclear. METHODS In three cohort studies involving men and women in the United States, we identified those who had reported quitting smoking and we prospectively assessed changes in smoking status and body weight. We estimated risks of type 2 diabetes, death from cardiovascular disease, and death from any cause among those who had reported quitting smoking, according to weight changes after smoking cessation. RESULTS The risk of type 2 diabetes was higher among recent quitters (2 to 6 years since smoking cessation) than among current smokers (hazard ratio, 1.22; 95% confidence interval [CI], 1.12 to 1.32). The risk peaked 5 to 7 years after quitting and then gradually decreased. The temporary increase in the risk of type 2 diabetes was directly proportional to weight gain, and the risk was not increased among quitters without weight gain (P<0.001 for interaction). In contrast, quitters did not have a temporary increase in mortality, regardless of weight change after quitting. As compared with current smokers, the hazard ratios for death from cardiovascular disease were 0.69 (95% CI, 0.54 to 0.88) among recent quitters without weight gain, 0.47 (95% CI, 0.35 to 0.63) among those with weight gain of 0.1 to 5.0 kg, 0.25 (95% CI, 0.15 to 0.42) among those with weight gain of 5.1 to 10.0 kg, 0.33 (95% CI, 0.18 to 0.60) among those with weight gain of more than 10.0 kg, and 0.50 (95% CI, 0.46 to 0.55) among longer-term quitters (>6 years since smoking cessation). Similar associations were observed for death from any cause. CONCLUSIONS Smoking cessation that was accompanied by substantial weight gain was associated with an increased short-term risk of type 2 diabetes but did not mitigate the benefits of quitting smoking on reducing cardiovascular and all-cause mortality. (Funded by the National Institutes of Health.).
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Affiliation(s)
- Yang Hu
- From the Departments of Nutrition (Y.H., G.Z., G.L., W.C.W., F.B.H., Q.S.), Epidemiology (Y.H., M.W., W.C.W., J.E.M., F.B.H.), and Biostatistics (M.W., B.R.), Harvard T.H. Chan School of Public Health, and the Channing Division of Network Medicine (M.W., W.C.W., J.E.M., F.B.H., Q.S.) and the Division of Preventive Medicine (J.E.M.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School - all in Boston; and the Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai (G.Z.), and the Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan (A.P.) - both in China
| | - Geng Zong
- From the Departments of Nutrition (Y.H., G.Z., G.L., W.C.W., F.B.H., Q.S.), Epidemiology (Y.H., M.W., W.C.W., J.E.M., F.B.H.), and Biostatistics (M.W., B.R.), Harvard T.H. Chan School of Public Health, and the Channing Division of Network Medicine (M.W., W.C.W., J.E.M., F.B.H., Q.S.) and the Division of Preventive Medicine (J.E.M.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School - all in Boston; and the Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai (G.Z.), and the Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan (A.P.) - both in China
| | - Gang Liu
- From the Departments of Nutrition (Y.H., G.Z., G.L., W.C.W., F.B.H., Q.S.), Epidemiology (Y.H., M.W., W.C.W., J.E.M., F.B.H.), and Biostatistics (M.W., B.R.), Harvard T.H. Chan School of Public Health, and the Channing Division of Network Medicine (M.W., W.C.W., J.E.M., F.B.H., Q.S.) and the Division of Preventive Medicine (J.E.M.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School - all in Boston; and the Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai (G.Z.), and the Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan (A.P.) - both in China
| | - Molin Wang
- From the Departments of Nutrition (Y.H., G.Z., G.L., W.C.W., F.B.H., Q.S.), Epidemiology (Y.H., M.W., W.C.W., J.E.M., F.B.H.), and Biostatistics (M.W., B.R.), Harvard T.H. Chan School of Public Health, and the Channing Division of Network Medicine (M.W., W.C.W., J.E.M., F.B.H., Q.S.) and the Division of Preventive Medicine (J.E.M.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School - all in Boston; and the Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai (G.Z.), and the Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan (A.P.) - both in China
| | - Bernard Rosner
- From the Departments of Nutrition (Y.H., G.Z., G.L., W.C.W., F.B.H., Q.S.), Epidemiology (Y.H., M.W., W.C.W., J.E.M., F.B.H.), and Biostatistics (M.W., B.R.), Harvard T.H. Chan School of Public Health, and the Channing Division of Network Medicine (M.W., W.C.W., J.E.M., F.B.H., Q.S.) and the Division of Preventive Medicine (J.E.M.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School - all in Boston; and the Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai (G.Z.), and the Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan (A.P.) - both in China
| | - An Pan
- From the Departments of Nutrition (Y.H., G.Z., G.L., W.C.W., F.B.H., Q.S.), Epidemiology (Y.H., M.W., W.C.W., J.E.M., F.B.H.), and Biostatistics (M.W., B.R.), Harvard T.H. Chan School of Public Health, and the Channing Division of Network Medicine (M.W., W.C.W., J.E.M., F.B.H., Q.S.) and the Division of Preventive Medicine (J.E.M.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School - all in Boston; and the Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai (G.Z.), and the Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan (A.P.) - both in China
| | - Walter C Willett
- From the Departments of Nutrition (Y.H., G.Z., G.L., W.C.W., F.B.H., Q.S.), Epidemiology (Y.H., M.W., W.C.W., J.E.M., F.B.H.), and Biostatistics (M.W., B.R.), Harvard T.H. Chan School of Public Health, and the Channing Division of Network Medicine (M.W., W.C.W., J.E.M., F.B.H., Q.S.) and the Division of Preventive Medicine (J.E.M.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School - all in Boston; and the Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai (G.Z.), and the Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan (A.P.) - both in China
| | - JoAnn E Manson
- From the Departments of Nutrition (Y.H., G.Z., G.L., W.C.W., F.B.H., Q.S.), Epidemiology (Y.H., M.W., W.C.W., J.E.M., F.B.H.), and Biostatistics (M.W., B.R.), Harvard T.H. Chan School of Public Health, and the Channing Division of Network Medicine (M.W., W.C.W., J.E.M., F.B.H., Q.S.) and the Division of Preventive Medicine (J.E.M.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School - all in Boston; and the Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai (G.Z.), and the Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan (A.P.) - both in China
| | - Frank B Hu
- From the Departments of Nutrition (Y.H., G.Z., G.L., W.C.W., F.B.H., Q.S.), Epidemiology (Y.H., M.W., W.C.W., J.E.M., F.B.H.), and Biostatistics (M.W., B.R.), Harvard T.H. Chan School of Public Health, and the Channing Division of Network Medicine (M.W., W.C.W., J.E.M., F.B.H., Q.S.) and the Division of Preventive Medicine (J.E.M.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School - all in Boston; and the Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai (G.Z.), and the Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan (A.P.) - both in China
| | - Qi Sun
- From the Departments of Nutrition (Y.H., G.Z., G.L., W.C.W., F.B.H., Q.S.), Epidemiology (Y.H., M.W., W.C.W., J.E.M., F.B.H.), and Biostatistics (M.W., B.R.), Harvard T.H. Chan School of Public Health, and the Channing Division of Network Medicine (M.W., W.C.W., J.E.M., F.B.H., Q.S.) and the Division of Preventive Medicine (J.E.M.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School - all in Boston; and the Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai (G.Z.), and the Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan (A.P.) - both in China
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Souza LG, Jardim TV, Rezende AC, Sousa ALL, Moreira HG, Perillo NB, de Souza SG, de Souza WKSB, Araújo YCL, do Rosário Gondim Peixoto M, Jardim PCBV. Predictors of overweight/obesity in a Brazilian cohort after 13 years of follow-up. Nutr J 2018; 17:10. [PMID: 29334952 PMCID: PMC5769518 DOI: 10.1186/s12937-018-0320-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Accepted: 01/05/2018] [Indexed: 01/15/2023] Open
Abstract
Background Obesity is a chronic complex disease with an increasing prevalence around the world. Prospective studies in adult cohorts are needed to provide information about predictors of new-onset overweight/obesity on population-based levels. The aim of this study was to identify factors associated with the risk of an adult individual become overweight/obese after 13 years of follow-up. Methods Second phase of an observational population-based prospective cohort study in a small town in the Midwest region of Brazil. A representative sample of the adult population (≥18 years) was assessed in 2002 (phase 1). Anthropometric, sociodemographic, dietary intake and lifestyle data were collected. After 13 years of follow-up (2015), the same variables were re-evaluated (phase 2). New-onset overweight/obesity was the outcome variable. Results A total of 685 subjects were included with a mean age in phase 1 of 42.7 ± 13.8 years and 56.1 ± 13.8 years in phase 2, the mean follow-up time was 13.2 years and female sex counted for 66.3% of the sample. Total weight gain was 5.9 ± 10.2 Kg, body mass index increased 2.6 ± 3.8 Kg/m2 and waist circumference (WC) values increased 8.0 ± 10.5 cm. The prevalence of overweight/obesity went from 49.1% in phase 1 to 69.8% in phase 2 (p < 0.001). The factors associated with a decreased risk of new-onset overweight/obesity were ages between 50 and 64 (RR 0.40; CI 0.24–0.67 – p = 0.001) and ≥65 years (RR 0.15; CI 0.06–0.35 - p < 0.001), being part of the second quartile of fat consumption (RR 0.59; CI 0.35–0.97 – p = 0.041), no alcohol consumption (RR 0.59; CI 0.37–0.93 – p = 0.024) and smoking (RR 0.58; CI 0.39–0.86 – p = 0,007) in phase 1. Conclusions We identified in thirteen years of follow-up that older ages, a moderate fat consumption compared to low consumption, no alcohol consumption and smoking habit were related to a decreased risk of new-onset overweight/obesity. Obesity prevention actions must focus on subjects at younger ages and include policies to reduce alcohol consumption.
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Affiliation(s)
- Ludimila Garcia Souza
- Nutrition and Health Post Graduation Program. Nutrition School (FANUT), Federal University of Goias (UFG), Rua 236, nº 343, Setor Universitário, Goiania, GO, 74610-070, Brazil.
| | - Thiago Veiga Jardim
- Hypertension League, Federal University of Goias (UFG), Goiania, GO, Brazil.,Division of Cardiovascular Medicine, Brigham & Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA
| | | | | | | | | | | | | | | | - Maria do Rosário Gondim Peixoto
- Nutrition and Health Post Graduation Program. Nutrition School (FANUT), Federal University of Goias (UFG), Rua 236, nº 343, Setor Universitário, Goiania, GO, 74610-070, Brazil
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30
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Eating at Food Outlets and "On the Go" Is Associated with Less Healthy Food Choices in Adults: Cross-Sectional Data from the UK National Diet and Nutrition Survey Rolling Programme (2008-2014). Nutrients 2017; 9:nu9121315. [PMID: 29207469 PMCID: PMC5748765 DOI: 10.3390/nu9121315] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Revised: 11/26/2017] [Accepted: 11/29/2017] [Indexed: 12/19/2022] Open
Abstract
Eating location has been linked with variations in diet quality including the consumption of low-nutrient energy-dense food, which is a recognised risk factor for obesity. Cross-sectional data from 4736 adults aged 19 years and over from Years 1–6 of the UK National Diet and Nutrition Survey (NDNS) Rolling Programme (RP) (2008–2014) were used to explore food consumption patterns by eating location. Eating location was categorized as home, work, leisure places, food outlets and “on the go”. Foods were classified into two groups: core (included in the principal food groups and considered important/acceptable within a healthy diet) and non-core (all other foods). Out of 97,748 eating occasions reported, the most common was home (67–90% of eating occasions). Leisure places, food outlets and “on the go” combined contributed more energy from non-core (30%) than from core food (18%). Analyses of modulating factors revealed that sex, income, frequency of eating out and frequency of drinking were significant factors affecting consumption patterns (p < 0.01). Our study provides evidence that eating patterns, behaviours and resulting diet quality vary by location. Public health interventions should focus on availability and access to healthy foods, promotion of healthy food choices and behaviours across multiple locations, environments and contexts for food consumption.
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Penney TL, Jones NRV, Adams J, Maguire ER, Burgoine T, Monsivais P. Utilization of Away-From-Home Food Establishments, Dietary Approaches to Stop Hypertension Dietary Pattern, and Obesity. Am J Prev Med 2017; 53:e155-e163. [PMID: 28818414 PMCID: PMC5640390 DOI: 10.1016/j.amepre.2017.06.003] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 05/09/2017] [Accepted: 06/05/2017] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Eating meals away from home has been associated with the consumption of unhealthy foods and increased body weight. However, more rigorous assessment of the contribution of different types of away-from-home food establishments to overall diet quality and obesity is minimal. This study examined usage of these food establishments, accordance to the Dietary Approaches to Stop Hypertension (DASH) dietary pattern and obesity status in a nationally representative sample of adults in the United Kingdom. METHODS A cross-sectional analysis of data from a national survey (N=2,083 aged ≥19 years, from 2008 to 2012) with dietary intake measured using a 4-day food diary, and height and weight measured objectively. Exposures included usage of (i.e., by proportion of energy) all away-from-home food establishments combined, and fast-food outlets, restaurants, and cafés separately. Outcomes included accordance with the DASH diet, and obesity status. Multivariable logistic regressions were conducted in 2016 to estimate associations between food establishments, diet quality, and obesity. RESULTS People consuming a higher proportion of energy from any away-from-home food establishment had lower odds of DASH accordance (OR=0.45, 95% CI=0.31, 0.67) and increased odds of obesity (OR=1.48, 95% CI=1.10, 1.99). After adjustment, only use of fast-food outlets was significantly associated with lower odds of DASH accordance (OR=0.48, 95% CI=0.33, 0.69) and higher odds of obesity (OR=1.30, 95% CI=1.01, 1.69). CONCLUSIONS Although a greater reliance on eating away-from-home is associated with less-healthy diets and obesity, dietary public health interventions that target these food establishments may be most effective if they focus on modifying the use of fast-food outlets.
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Affiliation(s)
- Tarra L Penney
- UK Clinical Research Collaboration Centre for Diet and Activity Research, Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
| | - Nicholas R V Jones
- UK Clinical Research Collaboration Centre for Diet and Activity Research, Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Jean Adams
- UK Clinical Research Collaboration Centre for Diet and Activity Research, Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Eva R Maguire
- UK Clinical Research Collaboration Centre for Diet and Activity Research, Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Thomas Burgoine
- UK Clinical Research Collaboration Centre for Diet and Activity Research, Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Pablo Monsivais
- UK Clinical Research Collaboration Centre for Diet and Activity Research, Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom; Department of Nutrition and Exercise Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington
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White WS, Zhou Y, Crane A, Dixon P, Quadt F, Flendrig LM. Modeling the dose effects of soybean oil in salad dressing on carotenoid and fat-soluble vitamin bioavailability in salad vegetables. Am J Clin Nutr 2017; 106:1041-1051. [PMID: 28814399 PMCID: PMC5611781 DOI: 10.3945/ajcn.117.153635] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Accepted: 07/13/2017] [Indexed: 11/14/2022] Open
Abstract
Background: Previously, we showed that vegetable oil is necessary for carotenoid absorption from salad vegetables. Research is needed to better define the dose effect and its interindividual variation for carotenoids and fat-soluble vitamins.Objective: The objective was to model the dose-response relation between the amount of soybean oil in salad dressing and the absorption of 1) carotenoids, phylloquinone, and tocopherols in salad vegetables and 2) retinyl palmitate formed from the provitamin A carotenoids.Design: Women (n = 12) each consumed 5 vegetable salads with salad dressings containing 0, 2, 4, 8, or 32 g soybean oil. Blood was collected at selected time points. The outcome variables were the chylomicron carotenoid and fat-soluble vitamin area under the curve (AUC) and maximum content in the plasma chylomicron fraction (Cmax). The individual-specific and group-average dose-response relations were investigated by fitting linear mixed-effects random coefficient models.Results: Across the entire 0-32-g range, soybean oil was linearly related to the chylomicron AUC and Cmax values for α-carotene, lycopene, phylloquinone, and retinyl palmitate. Across 0-8 g of soybean oil, there was a linear increase in the chylomicron AUC and Cmax values for β-carotene. Across a more limited 0-4-g range of soybean oil, there were minor linear increases in the chylomicron AUC for lutein and α- and total tocopherol. Absorption of all carotenoids and fat-soluble vitamins was highest with 32 g oil (P < 0.002). For 32 g oil, the interindividual rank order of the chylomicron AUCs was consistent across the carotenoids and fat-soluble vitamins (P < 0.0001).Conclusions: Within the linear range, the average absorption of carotenoids and fat-soluble vitamins could be largely predicted by the soybean oil effect. However, the effect varied widely, and some individuals showed a negligible response. There was a global soybean oil effect such that those who absorbed more of one carotenoid and fat-soluble vitamin also tended to absorb more of the others. This trial was registered at clinicaltrials.gov as NCT02867488.
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Affiliation(s)
| | - Yang Zhou
- Departments of Food Science and Human Nutrition and
| | - Agatha Crane
- Departments of Food Science and Human Nutrition and
| | | | - Frits Quadt
- Quadt Consultancy B.V., Oostvoorne, Netherlands; and
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Bezerra IN, Moreira TMV, Cavalcante JB, Souza ADM, Sichieri R. Food consumed outside the home in Brazil according to places of purchase. Rev Saude Publica 2017; 51:15. [PMID: 28355339 PMCID: PMC5342326 DOI: 10.1590/s1518-8787.2017051006750] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2015] [Accepted: 02/02/2016] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVE This study aims to describe the places of purchase of food consumed outside the home, characterize consumers according to the places of consumption, and identify the food purchased by place of consumption in Brazil. METHODS We have used data from the Pesquisa de Orçamento Familiar (Household Budget Survey) of 2008-2009 with a sample of 152,895 subjects over 10 years of age. The purchase of food outside the home was collected from the records of all expenditures made in seven days. The places of purchase were grouped according to their characteristics: supermarket, bakery, street food, restaurant, snack bar, fruit shop, and other places. The types of food were grouped into nine categories, considering the nutritional aspects and the marketing characteristics of the item. We have estimated the frequency of purchase in the seven groups of places in Brazil and according to gender and type of food purchased per place. We have calculated the average age, income and years of education, as well as the per capita expenditure according to places of purchase of food consumed outside the home. RESULTS The purchase of food outside the home was reported by 41.2% of the subjects, being it greater among men than women (44% versus 38.5%). Adults had a higher frequency (46%) than teenagers (37.7%) and older adults (24.2%). The highest frequency of places of purchase were snack bar (16.9%) and restaurant (16.4%), while the fruit shop (1.2%) presented the lowest frequency. Sweets, snack chips and soft drinks were the most purchased items in most places. Average expenditure was higher for restaurant (R$33.20) and lower for fruit shop (R$4.10) and street food (R$5.00). CONCLUSIONS The highest percentage of food consumed outside the home comes from snack bars and restaurants, pointing to important places for the development of public policies focused on promoting healthy eating. OBJETIVO Descrever os locais de aquisição dos alimentos consumidos fora do lar, caracterizar os consumidores de acordo com os locais de consumo e identificar os alimentos adquiridos por local de consumo no Brasil. MÉTODOS Utilizaram-se dados da Pesquisa de Orçamento Familiar 2008-2009 em uma amostra de 152.895 indivíduos acima de 10 anos. A aquisição de alimentos para consumo fora do lar foi coletada por registros de todos os gastos realizados no período de sete dias. Os locais de aquisição de alimentos foram agrupados de acordo com suas características: supermercado, padaria, comida de rua, restaurante, lanchonete, frutaria e outros. Os tipos de alimentos adquiridos foram alocados em nove categorias de alimentos, considerando os aspectos nutricionais e as características de comercialização do item. Estimou-se a frequência de aquisição de alimentos nos sete grupos de locais no Brasil e por sexo e o tipo de alimento adquirido por local. Calculou-se a média de idade, de renda e de anos de escolaridade, bem como da despesa per capita segundo locais de aquisição de alimentos consumidos fora do lar. RESULTADOS A aquisição de alimentos fora do lar foi reportada por 41,2% dos indivíduos, sendo maior entre os homens do que nas mulheres (44% versus 38,5%). Os adultos apresentaram maior frequência de aquisição (46%) do que os adolescentes (37,7%) e os idosos (24,2%). Os locais com maiores frequências de consumo de alimentos fora do lar foram lanchonete (16,9%) e restaurante (16,4%), enquanto frutaria (1,2%) apresentou a menor frequência. Doces, salgadinhos e refrigerante foram os alimentos mais adquiridos na maioria dos locais. Os gastos médios com alimentos foram maiores para restaurante (R$33,20) e menores para frutaria (R$4,10) e comida de rua (R$5,00). CONCLUSÕES O maior percentual de consumo de alimentos fora do lar é proveniente de lanchonete e restaurante, apontando importantes locais para o desenvolvimento de políticas públicas com foco na promoção da alimentação saudável.
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Affiliation(s)
- Ilana Nogueira Bezerra
- Mestrado Acadêmico em Nutrição e Saúde. Centro de Ciências da Saúde. Universidade Estadual do Ceará. Fortaleza, CE, Brasil
| | | | | | - Amanda de Moura Souza
- Departamento de Epidemiologia e Bioestatística. Instituto de Estudos em Saúde Coletiva. Universidade Federal do Rio de Janeiro. Rio de Janeiro, RJ, Brasil
| | - Rosely Sichieri
- Departamento de Epidemiologia. Instituto de Medicina Social. Universidade do Estado do Rio de Janeiro. Rio de Janeiro, RJ, Brasil
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Freisling H, Pisa PT, Ferrari P, Byrnes G, Moskal A, Dahm CC, Vergnaud AC, Boutron-Ruault MC, Fagherazzi G, Cadeau C, Kühn T, Neamat-Allah J, Buijsse B, Boeing H, Halkjær J, Tjonneland A, Hansen CP, Quirós JR, Travier N, Molina-Montes E, Amiano P, Huerta JM, Barricarte A, Khaw KT, Wareham N, Key TJ, Romaguera D, Lu Y, Lassale CM, Naska A, Orfanos P, Trichopoulou A, Masala G, Pala V, Berrino F, Tumino R, Ricceri F, de Magistris MS, Bueno-de-Mesquita HB, Ocké MC, Sonestedt E, Ericson U, Johansson M, Skeie G, Weiderpass E, Braaten T, Peeters PHM, Slimani N. Main nutrient patterns are associated with prospective weight change in adults from 10 European countries. Eur J Nutr 2016; 55:2093-2104. [PMID: 26303194 DOI: 10.1007/s00394-015-1023-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2015] [Accepted: 08/13/2015] [Indexed: 01/10/2023]
Abstract
PURPOSE Various food patterns have been associated with weight change in adults, but it is unknown which combinations of nutrients may account for such observations. We investigated associations between main nutrient patterns and prospective weight change in adults. METHODS This study includes 235,880 participants, 25-70 years old, recruited between 1992 and 2000 in 10 European countries. Intakes of 23 nutrients were estimated from country-specific validated dietary questionnaires using the harmonized EPIC Nutrient DataBase. Four nutrient patterns, explaining 67 % of the total variance of nutrient intakes, were previously identified from principal component analysis. Body weight was measured at recruitment and self-reported 5 years later. The relationship between nutrient patterns and annual weight change was examined separately for men and women using linear mixed models with random effect according to center controlling for confounders. RESULTS Mean weight gain was 460 g/year (SD 950) and 420 g/year (SD 940) for men and women, respectively. The annual differences in weight gain per one SD increase in the pattern scores were as follows: principal component (PC) 1, characterized by nutrients from plant food sources, was inversely associated with weight gain in men (-22 g/year; 95 % CI -33 to -10) and women (-18 g/year; 95 % CI -26 to -11). In contrast, PC4, characterized by protein, vitamin B2, phosphorus, and calcium, was associated with a weight gain of +41 g/year (95 % CI +2 to +80) and +88 g/year (95 % CI +36 to +140) in men and women, respectively. Associations with PC2, a pattern driven by many micro-nutrients, and with PC3, a pattern driven by vitamin D, were less consistent and/or non-significant. CONCLUSIONS We identified two main nutrient patterns that are associated with moderate but significant long-term differences in weight gain in adults.
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Affiliation(s)
- Heinz Freisling
- International Agency for Research on Cancer (IARC-WHO), 150, Cours Albert Thomas, 69372, Lyon Cedex 08, France.
| | - Pedro T Pisa
- International Agency for Research on Cancer (IARC-WHO), 150, Cours Albert Thomas, 69372, Lyon Cedex 08, France
- Wits Reproductive Health and HIV Institute, University of the Witwatersrand, Johannesburg, South Africa
| | - Pietro Ferrari
- International Agency for Research on Cancer (IARC-WHO), 150, Cours Albert Thomas, 69372, Lyon Cedex 08, France
| | - Graham Byrnes
- International Agency for Research on Cancer (IARC-WHO), 150, Cours Albert Thomas, 69372, Lyon Cedex 08, France
| | - Aurelie Moskal
- International Agency for Research on Cancer (IARC-WHO), 150, Cours Albert Thomas, 69372, Lyon Cedex 08, France
| | - Christina C Dahm
- Section of Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Anne-Claire Vergnaud
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Marie-Christine Boutron-Ruault
- Centre for Research in Epidemiology and Population Health (CESP), Nutrition, Hormones and Women's Health Team, INSERM, Villejuif, France
- Université Paris Sud, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Guy Fagherazzi
- Centre for Research in Epidemiology and Population Health (CESP), Nutrition, Hormones and Women's Health Team, INSERM, Villejuif, France
- Université Paris Sud, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Claire Cadeau
- Centre for Research in Epidemiology and Population Health (CESP), Nutrition, Hormones and Women's Health Team, INSERM, Villejuif, France
- Université Paris Sud, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jasmine Neamat-Allah
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Brian Buijsse
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbruecke, Nuthetal, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbruecke, Nuthetal, Germany
| | - Jytte Halkjær
- Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
| | - Anne Tjonneland
- Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
| | - Camilla P Hansen
- Section of Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
| | | | - Noémie Travier
- Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - Esther Molina-Montes
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs, Hospitales Universitarios de Granada, Universidad de Granada, Granada, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Pilar Amiano
- Public Helath Division of Gipuzkoa, Basque Health Department, BioDonostia Research Institute, San Sebastián, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública-CIBERESP), Madrid, Spain
| | - José M Huerta
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Aurelio Barricarte
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública-CIBERESP), Madrid, Spain
- Navarre Public Health Institute, Pamplona, Spain
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Nicholas Wareham
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Tim J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Dora Romaguera
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Instituto de Investigación Sanitaria de Palma (IdISPa), CIBER Fisiopatología de la Obesidad y Nutrición (CIBER-OBN), Madrid, Spain
| | - Yunxia Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Camille M Lassale
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Androniki Naska
- Hellenic Health Foundation, Athens, Greece
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Philippos Orfanos
- Hellenic Health Foundation, Athens, Greece
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Giovanna Masala
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute, ISPO, Florence, Italy
| | - Valeria Pala
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Franco Berrino
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Rosario Tumino
- Cancer Registry, Azienda Ospedaliera "Civile M.P. Arezzo", Ragusa, Italy
| | - Fulvio Ricceri
- Unit of Cancer Epidemiology - CERMS, Department of Medical Sciences, University of Turin and Città della Salute e della Scienza Hospital, Turin, Italy
| | | | - H Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre Utrecht, Utrecht, The Netherlands
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Marga C Ocké
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Emily Sonestedt
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Ulrika Ericson
- Diabetes and Cardiovascular Disease, Genetic Epidemiology, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Mattias Johansson
- International Agency for Research on Cancer (IARC-WHO), 150, Cours Albert Thomas, 69372, Lyon Cedex 08, France
- Department of Biobank Research, Umea University, Umeå, Sweden
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsö, Norway
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsö, Norway
- Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Genetic Epidemiology, Folkhälsan Research Center, Helsinki, Finland
| | - Tonje Braaten
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsö, Norway
| | - Petra H M Peeters
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Nadia Slimani
- International Agency for Research on Cancer (IARC-WHO), 150, Cours Albert Thomas, 69372, Lyon Cedex 08, France
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Yuan YQ, Li F, Meng P, You J, Wu M, Li SG, Chen B. Gender Difference on the Association between Dietary Patterns and Obesity in Chinese Middle-Aged and Elderly Populations. Nutrients 2016; 8:nu8080448. [PMID: 27455322 PMCID: PMC4997363 DOI: 10.3390/nu8080448] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2016] [Revised: 07/10/2016] [Accepted: 07/12/2016] [Indexed: 11/16/2022] Open
Abstract
Dietary patterns are linked to obesity, but the gender difference in the association between dietary patterns and obesity remains unclear. We explored this gender difference in a middle-aged and elderly populations in Shanghai. Residents (n = 2046; aged ≥45 years; 968 men and 1078 women) who participated in the Shanghai Food Consumption Survey were studied. Factor analysis of data from four periods of 24-h dietary recalls (across 2012-2014) identified dietary patterns. Height, body weight, and waist circumference were measured to calculate the body mass index. A log binominal model examined the association between dietary patterns and obesity, stratified by gender. Four dietary patterns were identified for both genders: rice staple, wheat staple, snacks, and prudent patterns. The rice staple pattern was associated positively with abdominal obesity in men (prevalence ratio (PR) = 1.358; 95% confidence interval (CI) 1.132-1.639; p = 0.001), but was associated negatively with general obesity in women (PR = 0.745; 95% CI: 0.673-0.807; p = 0.031). Men in the highest quartile of the wheat staple pattern had significantly greater risk of central obesity (PR = 1.331; 95% CI: 1.094-1.627; p = 0.005). There may be gender differences in the association between dietary patterns and obesity in middle-aged and elderly populations in Shanghai, China.
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Affiliation(s)
- Ya-Qun Yuan
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Fan Li
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Pai Meng
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Jie You
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Min Wu
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Shu-Guang Li
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Bo Chen
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China.
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Villarini M, Lanari C, Nucci D, Gianfredi V, Marzulli T, Berrino F, Borgo A, Bruno E, Gargano G, Moretti M, Villarini A. Community-based participatory research to improve life quality and clinical outcomes of patients with breast cancer (DianaWeb in Umbria pilot study). BMJ Open 2016; 6:e009707. [PMID: 27251681 PMCID: PMC4893863 DOI: 10.1136/bmjopen-2015-009707] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION Breast cancer (BC) is the most frequent cancer in Europe and the International Agency for Research on Cancer (IARC) has estimated over 460 000 incident cases per year. Survival among patients with BC has increased in the past decades and EUROCARE-5 has estimated a 5-year relative survival rate of 82% for patients diagnosed in 2000-2007. There is growing evidence that lifestyle (such as a diet based on Mediterranean principles associated with moderate physical activity) may influence prognosis of BC; however, this information is not currently available to patients and is not considered in oncology protocols. Only a few epidemiological studies have investigated the role of diet in BC recurrence and metastasis. METHODS AND ANALYSIS DianaWeb is a community-based participatory research dedicated to patients with BC and represents a collaborative effort between participants and research institutions to determine if specified changes in lifestyle would result in improved outcomes in terms of quality of life or survival. The aim of the study is to recruit a large number of participants, to monitor their lifestyle and health status over time, to provide them tips to encourage sustainable lifestyle changes, to analyse clinical outcomes as a function of baseline risk factors and subsequent changes, and to share with patients methodologies and results. DianaWeb uses a specific interactive website (http://www.dianaweb.org/) and, with very few exceptions, all communications will be made through the web. In this paper we describe the pilot study, namely DianaWeb in Umbria. ETHICS AND DISSEMINATION DianaWeb does not interfere with prescribed oncological treatments; rather, it recommends that participants should follow the received prescriptions. The results will be used to plan guidelines for nutrition and physical activity for patients with BC. The pilot study was approved by the ethics committee of the University of Perugia (reference number 2015-002), and is supported by Fondazione Cassa di Risparmio di Perugia (2013.0185 021).
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Affiliation(s)
- Milena Villarini
- Department of Pharmaceutical Sciences, University of Perugia, Perugia, Italy
| | - Chiara Lanari
- Department of Pharmaceutical Sciences, University of Perugia, Perugia, Italy
| | - Daniele Nucci
- Department of Experimental Medicine, University of Perugia, Perugia, Italy
| | - Vincenza Gianfredi
- School of Specialization in Hygiene and Preventive Medicine, University of Perugia, Perugia, Italy
| | - Tiziana Marzulli
- School of Specialization in Hygiene and Preventive Medicine, University of Perugia, Perugia, Italy
| | | | - Alessandra Borgo
- Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Eleonora Bruno
- Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Giuliana Gargano
- Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Massimo Moretti
- Department of Pharmaceutical Sciences, University of Perugia, Perugia, Italy
| | - Anna Villarini
- Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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Abstract
Smoking continues to be the leading cause of preventable death in the USA, despite the vast and widely publicized knowledge about the negative health effects of tobacco smoking. Data show that smoking cessation is often accompanied by weight gain and an improvement in insulin sensitivity over time. However, paradoxically, post-cessation-related obesity might contribute to insulin resistance. Furthermore, post-cessation weight gain is reportedly the number one reason why smokers, especially women, fail to initiate smoking cessation or relapse after initiating smoking cessation. In this Review, we discuss the metabolic effects of stopping smoking and highlight future considerations for smoking cessation programs and therapies to be designed with an emphasis on reducing post-cessation weight gain.
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Affiliation(s)
- Kindred K Harris
- Division of Endocrinology, Metabolism and Molecular Medicine, Charles R. Drew University of Medicine and Science, 1731 East 120th Street, Los Angeles, California 90059, USA
| | - Mohan Zopey
- Division of Endocrinology, Metabolism and Molecular Medicine, Charles R. Drew University of Medicine and Science, 1731 East 120th Street, Los Angeles, California 90059, USA
| | - Theodore C Friedman
- Division of Endocrinology, Metabolism and Molecular Medicine, Charles R. Drew University of Medicine and Science, 1731 East 120th Street, Los Angeles, California 90059, USA
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Soltani S, Shirani F, Chitsazi MJ, Salehi-Abargouei A. The effect of dietary approaches to stop hypertension (DASH) diet on weight and body composition in adults: a systematic review and meta-analysis of randomized controlled clinical trials. Obes Rev 2016; 17:442-54. [PMID: 26990451 DOI: 10.1111/obr.12391] [Citation(s) in RCA: 165] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2015] [Revised: 01/24/2016] [Accepted: 01/25/2016] [Indexed: 12/14/2022]
Abstract
BACKGROUND Dietary approaches to stop hypertension (DASH) diet is rich in foods that are proposed to be inversely associated with obesity. Therefore, DASH might better affect body weight; however, published data are conflicting. OBJECTIVE To assess the effect of DASH on body weight and composition in adults. METHODS PubMed, EMBASE, Scopus and Google scholar were searched up to December 2015, for relevant randomized controlled clinical trials. Mean changes in body weight, body mass index (BMI) and waist circumference (WC) were extracted. RESULTS Thirteen articles (ten for body weight, six for BMI and two for WC) were eligible. Meta-analysis revealed that adults on DASH diet lose more weight (weighted mean difference [WMD] = -1.42 kg, 95% confidence interval [95%CI]: -2.03, -0.82) in 8-24 weeks, BMI (WMD = -0.42 kg m(-2) , 95%CI: -0.64, -0.20) in 8-52 weeks and WC (WMD = -1.05 cm, 95%CI: -1.61, -0.49) in 24 weeks compared with controls. Low caloric DASH led to even more weight reduction when compared with other low-energy diets. In addition, the effect was greater in overweight/obese participants and when compared with typical (Western or population's usual) diets. CONCLUSION DASH diet is a good choice for weight management particularly for weight reduction in overweight and obese participants.
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Affiliation(s)
- Sepideh Soltani
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Shirani
- Nutrition and Metabolic Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Maryam J Chitsazi
- Nutrition and Food Security Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.,Department of Nutrition, Faculty of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Amin Salehi-Abargouei
- Nutrition and Food Security Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.,Department of Nutrition, Faculty of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
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Abstract
Nutrition plays an increasingly significant role in lifestyle strategies for cardiovascular prevention. Foods and dietary patterns that encompass specific foods and beverages and their combinations, with synergies among their components, are the subject of much epidemiologic and clinical research in relation to health issues, including cardiovascular disease. Foods with the highest evidence for beneficial effects on cardiovascular outcomes (mainly fatal and nonfatal coronary artery disease and stroke) and intermediate risk markers (principally cholesterol and blood pressure) are fruits and vegetables, legumes, nuts, whole grains, dairy products, fish, and alcohol consumed in moderation. Epidemiologic and clinical trial evidence on cardiovascular health issues is reviewed for these foods and for the dietary pattern with the highest probability of a causal link with cardiovascular protection, namely the Mediterranean diet. When pertinent, mechanisms of protection derived from specific nutrients in foods are also examined. The explosion of knowledge in cardioprotective foods and diets needs to be translated to the public, as dietary quality is still far from optimal in large segments of the population.
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40
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Schwingshackl L, Hoffmann G, Kalle-Uhlmann T, Arregui M, Buijsse B, Boeing H. Fruit and Vegetable Consumption and Changes in Anthropometric Variables in Adult Populations: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. PLoS One 2015; 10:e0140846. [PMID: 26474158 PMCID: PMC4608571 DOI: 10.1371/journal.pone.0140846] [Citation(s) in RCA: 143] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2015] [Accepted: 10/01/2015] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Randomized controlled trials provide conflicting results on the effects of increased fruit and vegetable consumption on changes in body weight. We aimed to perform a systematic review and meta-analysis of prospective cohort studies on fruit and vegetable consumption in relation to changes in anthropometric measures. METHODS PubMed and EMBASE were searched up to July 2015 for prospective studies reporting on habitual fruit and/or vegetable consumption in relation to changes in body weight or waist circumference or to risk of weight gain/overweight/obesity in adults. Random-effects meta-analysis was applied to pool results across studies. FINDINGS Seventeen cohort studies (from 20 reports) including 563,277 participants met our inclusion criteria. Higher intake of fruits was inversely associated with weight change (decrease) (beta-coefficient per 100-g increment, -13.68 g/year; 95% CI, -22.97 to -4.40). No significant changes could be observed for combined fruit and vegetable consumption or vegetable consumption. Increased intake of fruits was inversely associated with changes (decrease) in waist circumference (beta: -0.04 cm/year; 95% CI, -0.05 to -0.02). Comparing the highest combined fruit & vegetable, fruit, and vegetable intake categories were associated with a 9%, 17%, and 17% reduced risk of adiposity (odds ratio [OR]: 0.91, 95% CI, 0.84 to 0.99), (OR: 0.83, 95% CI, 0.71 to 0.99), and (OR: 0.83, 95% CI, 0.70 to 0.99), respectively. CONCLUSION This meta-analysis showed several inverse associations between fruit and vegetable intake and prospective improvements in anthropometric parameters, and risk of adiposity. The present meta-analysis seems to be limited by low study quality. Nevertheless, when combined with evolutionary nutrition and epidemiological modeling studies, these findings have public health relevance and support all initiatives to increase fruit and vegetable intake.
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Affiliation(s)
- Lukas Schwingshackl
- German Institute of Human Nutrition, Arthur-Scheunert-Allee 114–116, 14558 Nuthetal, Germany
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Althanstraße 14 (UZAII), A-1090 Vienna, Austria
| | - Georg Hoffmann
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Althanstraße 14 (UZAII), A-1090 Vienna, Austria
| | - Tamara Kalle-Uhlmann
- German Institute of Human Nutrition, Arthur-Scheunert-Allee 114–116, 14558 Nuthetal, Germany
| | - Maria Arregui
- German Institute of Human Nutrition, Arthur-Scheunert-Allee 114–116, 14558 Nuthetal, Germany
| | - Brian Buijsse
- German Institute of Human Nutrition, Arthur-Scheunert-Allee 114–116, 14558 Nuthetal, Germany
| | - Heiner Boeing
- German Institute of Human Nutrition, Arthur-Scheunert-Allee 114–116, 14558 Nuthetal, Germany
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Bertoia ML, Mukamal KJ, Cahill LE, Hou T, Ludwig DS, Mozaffarian D, Willett WC, Hu FB, Rimm EB. Changes in Intake of Fruits and Vegetables and Weight Change in United States Men and Women Followed for Up to 24 Years: Analysis from Three Prospective Cohort Studies. PLoS Med 2015; 12:e1001878. [PMID: 26394033 PMCID: PMC4578962 DOI: 10.1371/journal.pmed.1001878] [Citation(s) in RCA: 200] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2014] [Accepted: 08/12/2015] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Current dietary guidelines recommend eating a variety of fruits and vegetables. However, based on nutrient composition, some particular fruits and vegetables may be more or less beneficial for maintaining or achieving a healthy weight. We hypothesized that greater consumption of fruits and vegetables with a higher fiber content or lower glycemic load would be more strongly associated with a healthy weight. METHODS AND FINDINGS We examined the association between change in intake of specific fruits and vegetables and change in weight in three large, prospective cohorts of 133,468 United States men and women. From 1986 to 2010, these associations were examined within multiple 4-y time intervals, adjusting for simultaneous changes in other lifestyle factors, including other aspects of diet, smoking status, and physical activity. Results were combined using a random effects meta-analysis. Increased intake of fruits was inversely associated with 4-y weight change: total fruits -0.53 lb per daily serving (95% CI -0.61, -0.44), berries -1.11 lb (95% CI -1.45, -0.78), and apples/pears -1.24 lb (95% CI -1.62, -0.86). Increased intake of several vegetables was also inversely associated with weight change: total vegetables -0.25 lb per daily serving (95% CI -0.35, -0.14), tofu/soy -2.47 lb (95% CI, -3.09 to -1.85 lb) and cauliflower -1.37 lb (95% CI -2.27, -0.47). On the other hand, increased intake of starchy vegetables, including corn, peas, and potatoes, was associated with weight gain. Vegetables having both higher fiber and lower glycemic load were more strongly inversely associated with weight change compared with lower-fiber, higher-glycemic-load vegetables (p < 0.0001). Despite the measurement of key confounders in our analyses, the potential for residual confounding cannot be ruled out, and although our food frequency questionnaire specified portion size, the assessment of diet using any method will have measurement error. CONCLUSIONS Increased consumption of fruits and non-starchy vegetables is inversely associated with weight change, with important differences by type suggesting that other characteristics of these foods influence the magnitude of their association with weight change.
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Affiliation(s)
- Monica L. Bertoia
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail:
| | - Kenneth J. Mukamal
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Leah E. Cahill
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Tao Hou
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - David S. Ludwig
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
- New Balance Foundation Obesity Prevention Center, Boston Children's Hospital, Boston, Massachusetts, United States of America
| | - Dariush Mozaffarian
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, United States of America
| | - Walter C. Willett
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Frank B. Hu
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Eric B. Rimm
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
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Fung TT, Pan A, Hou T, Chiuve SE, Tobias DK, Mozaffarian D, Willett WC, Hu FB. Long-Term Change in Diet Quality Is Associated with Body Weight Change in Men and Women. J Nutr 2015; 145:1850-6. [PMID: 26084363 PMCID: PMC4516763 DOI: 10.3945/jn.114.208785] [Citation(s) in RCA: 85] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Accepted: 05/26/2015] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Little evidence exists on change in diet quality and weight change. OBJECTIVES We examined the association between change of diet quality indexes and concurrent weight change over 20 y. METHODS In this analysis we followed 50,603 women in the Nurses' Health Study (NHS), 22,973 men in the Health Professionals Follow-Up Study (HPFS) between 1986 and 2006, and 72,495 younger women from the Nurses' Health Study II (NHS II) between 1989 and 2007. Diet was measured every 4 y. We computed the Alternate Mediterranean Diet, the Alternate Health Eating Index-2010 (AHEI-2010), and the Dietary Approaches to Stop Hypertension adherence scores for each participant. All scores emphasize fruits and vegetables, whole grains, and nuts, but they differ in score range and components such as dairy, sodium, and sweetened beverages. Regression models were used to examine 4-y changes in these scores and weight change within the same period, adjusting for lifestyle factors. RESULTS Mean age at baseline was 49.4 y for NHS, 48.0 y for HPFS, and 36.3 y for NHS II. Baseline BMI (in kg/m(2)) was similar (23.7 for NHS, 24.7 for HPFS, and 23.0 for NHS II). We observed significantly less weight gain over 4-y periods with each SD increase of each diet quality score in both men and women. Results were significantly stronger in the younger cohort (NHS II) than in the older cohorts (e.g., -0.67 kg less weight gain in NHS II vs. -0.39 kg in NHS for each SD increase in AHEI-2010; P-heterogeneity: <0.001). Improvement of any of the diet scores benefited overweight (-0.27 to -1.08 kg less weight gain for each SD increase in score) more than normal-weight individuals (-0.10 to -0.40 kg; P-interaction: <0.001). CONCLUSION Improvement of diet quality is associated with less weight gain, especially in younger women or overweight individuals.
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Affiliation(s)
- Teresa T Fung
- Department of Nutrition, Simmons College, Boston, MA; Departments of Nutrition and
| | - An Pan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Tao Hou
- Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | | | | | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | - Walter C Willett
- Nutrition and Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and
| | - Frank B Hu
- Nutrition and Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and
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Penney TL, Brown HE, Maguire ER, Kuhn I, Monsivais P. Local food environment interventions to improve healthy food choice in adults: a systematic review and realist synthesis protocol. BMJ Open 2015; 5:e007161. [PMID: 25941180 PMCID: PMC4420941 DOI: 10.1136/bmjopen-2014-007161] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
INTRODUCTION Local food environments have been linked with dietary intake and obesity in adults. However, overall evidence remains mixed with calls for increased theoretical and conceptual clarity related to how availability of neighbourhood food outlets, and within-outlet food options, influence food purchasing and consumption. The purpose of this work is to develop a programme theory of food availability, supported by empirical evidence from a range of local food environment interventions. METHODS AND ANALYSIS A systematic search of the literature will be followed by duplicate screening and quality assessment (using the Effective Public Health Practice Project tool). Realist synthesis will then be conducted according to the Realist And Meta-narrative Evidence Syntheses: Evolving Standards (RAMESES) publication standards, including transparent appraisal, synthesis and drawing conclusions via consensus. DISSEMINATION The final synthesis will propose an evidence-based programme theory of food availability, including evidence mapping to demonstrate contextual factors, pathways of influence and potential mechanisms. With the paucity of empirically supported programme theories used in current local food environment interventions to improve food availability, this synthesis may be used to understand how and why interventions work, and thus inform the development of theory-driven, evidence-based interventions to improve healthy food choice and future empirical work. TRIAL REGISTRATION NUMBER PROSPERO CRD42014009808.
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Affiliation(s)
- Tarra L Penney
- UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Helen Elizabeth Brown
- UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Eva R Maguire
- UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Isla Kuhn
- Medical Library, University of Cambridge, School of Clinical Medicine, Cambridge, UK
| | - Pablo Monsivais
- UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
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Rautiainen S, Wang L, Lee IM, Manson JE, Buring JE, Sesso HD. Higher Intake of Fruit, but Not Vegetables or Fiber, at Baseline Is Associated with Lower Risk of Becoming Overweight or Obese in Middle-Aged and Older Women of Normal BMI at Baseline. J Nutr 2015; 145:960-8. [PMID: 25934663 PMCID: PMC4408735 DOI: 10.3945/jn.114.199158] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2014] [Accepted: 01/13/2015] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Fruit, vegetable, and dietary fiber intake have been associated with lower risk of cardiovascular disease (CVD); however, little is known about their role in obesity prevention. OBJECTIVE Our goal was to investigate whether intake of fruits, vegetables, and dietary fiber is associated with weight change and the risk of becoming overweight and obese. METHODS We studied 18,146 women aged ≥45 y from the Women's Health Study free of CVD and cancer with an initial body mass index (BMI) of 18.5 to <25 kg/m². Fruit, vegetable, and dietary fiber intakes were assessed at baseline through a 131-item food-frequency questionnaire, along with obesity-related risk factors. Women self-reported body weight on annual questionnaires. RESULTS During a mean follow-up of 15.9 y, 8125 women became overweight or obese (BMI ≥25 kg/m²). Intakes of total fruits and vegetables, fruits, and dietary fiber were not associated with the longitudinal changes in body weight, whereas higher vegetable intake was associated with greater weight gain (P-trend: 0.02). In multivariable analyses, controlling for total energy intake and physical activity along with other lifestyle, clinical, and dietary factors, women in the highest vs. lowest quintile of fruit intake had an HR of 0.87 (95% CI: 0.80, 0.94; P-trend: 0.01) of becoming overweight or obese. No association was observed for vegetable or dietary fiber intake. The association between fruit intake and risk of becoming overweight or obese was modified by baseline BMI (P-interaction: <0.0001) where the strongest inverse association was observed among women with a BMI <23 kg/m² (HR: 0.82; 95% CI: 0.71, 0.94). CONCLUSION Our results suggest that greater baseline intake of fruit, but not vegetables or fiber, by middle-aged and older women with a normal BMI at baseline is associated with lower risk of becoming overweight or obese.
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Affiliation(s)
- Susanne Rautiainen
- Divisions of Preventive Medicine and Harvard Medical School, Boston, MA; Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden; and
| | - Lu Wang
- Divisions of Preventive Medicine and,Harvard Medical School, Boston, MA
| | - I-Min Lee
- Divisions of Preventive Medicine and,Harvard Medical School, Boston, MA;,Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - JoAnn E Manson
- Divisions of Preventive Medicine and,Harvard Medical School, Boston, MA;,Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Julie E Buring
- Divisions of Preventive Medicine and,Harvard Medical School, Boston, MA;,Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Howard D Sesso
- Divisions of Preventive Medicine and,Department of Epidemiology, Harvard School of Public Health, Boston, MA
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45
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Mirmiran P, Bahadoran Z, Moslehi N, Bastan S, Azizi F. Colors of fruits and vegetables and 3-year changes of cardiometabolic risk factors in adults: Tehran lipid and glucose study. Eur J Clin Nutr 2015; 69:1215-9. [PMID: 25852026 DOI: 10.1038/ejcn.2015.49] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2014] [Revised: 01/06/2015] [Accepted: 02/23/2015] [Indexed: 11/09/2022]
Abstract
BACKGROUND/OBJECTIVES We aimed to investigate the associations of colors of fruit and vegetable (FV) subgroups, with 3-year changes of cardiometabolic risk factors. SUBJECTS/METHODS This longitudinal study was conducted in the framework of Tehran Lipid and Glucose Study, between 2006-2008 and 2009-2011, on 1272 adults. Total intake of FV and their subgroups have been assessed by a validated semi-quantitative food frequency questionnaire at baseline (2006-2008) and again at the second examination (2009-2011). Demographics, anthropometrics and biochemical measures were evaluated at baseline and 3 years later. The associations of anthropometric and lipid profile changes with FV subgroups were estimated. RESULTS The mean age of men and women at baseline was 39.8±12.7 and 37.3±12.1 years, respectively. Mean total intake of FV, red/purple, yellow, green, orange and white FV was 706±337, 185±95, 141±91, 152±77, 141±87 and 22±18 g/day, respectively. In men, 3-year changes of weight (β=-0.13, P=0.01) and waist circumference (β=-0.14, P=0.01) were related to intake of red/purple FV; the yellow group was inversely associated with 3-year changes of total cholesterol (β=-0.09, P=0.03) and High-density lipoprotein cholesterol (β=-0.11, P=0.03). Consumption of green and white FV was inversely related to abdominal fat gain, and atherogenic lipid parameters in men (P<0.05). In women, higher intake of red/purple FV was associated to lower weight and abdominal fat gain, fasting serum glucose and total cholesterol (P<0.05); yellow FV was also related to 3-year weight gain (β=-0.11, P=0.01). CONCLUSIONS Various colors of FV subgroups had different effects on cardiometabolic risk factors; higher intake of red/purple FV may be related to lower weight and abdominal fat gain, and yellow, green and white FV may be related to lipid parameters.
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Affiliation(s)
- P Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Z Bahadoran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - N Moslehi
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - S Bastan
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - F Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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46
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van Kleef E, van den Broek O, van Trijp HC. Exploiting the Spur of the Moment to Enhance Healthy Consumption: Verbal Prompting to Increase Fruit Choices in a Self-Service Restaurant. Appl Psychol Health Well Being 2015; 7:149-66. [DOI: 10.1111/aphw.12042] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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47
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Ability of self-reported estimates of dietary sodium, potassium and protein to detect an association with general and abdominal obesity: comparison with the estimates derived from 24 h urinary excretion. Br J Nutr 2015; 113:1308-18. [DOI: 10.1017/s0007114515000495] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
As under-reporting of dietary intake, particularly by overweight and obese subjects, is common in dietary surveys, biases inherent in the use of self-reported dietary information may distort true diet–obesity relationships or even create spurious ones. However, empirical evidence of this possibility is limited. The present cross-sectional study compared the relationships of 24 h urine-derived and self-reported intakes of Na, K and protein with obesity. A total of 1043 Japanese women aged 18–22 years completed a 24 h urine collection and a self-administered diet history questionnaire. After adjustment for potential confounders, 24 h urine-derived Na intake was associated with a higher risk of general obesity (BMI ≥ 25 kg/m2) and abdominal obesity (waist circumference ≥ 80 cm; both P for trend = 0·04). For 24 h urine-derived protein intake, positive associations with general and abdominal obesity were observed (P for trend = 0·02 and 0·053, respectively). For 24 h urine-derived K intake, there was an inverse association with abdominal obesity (P for trend = 0·01). Conversely, when self-reported dietary information was used, only inverse associations between K intake and general and abdominal obesity were observed (P for trend = 0·04 and 0·02, respectively), with no associations of Na or protein intake. In conclusion, we found positive associations of Na and protein intakes and inverse associations of K intake with obesity when using 24 h urinary excretion for estimating dietary intakes. However, no association was observed based on using self-reported dietary intakes, except for inverse association of K intake, suggesting that the ability of self-reported dietary information using the diet history questionnaire for investigating diet–obesity relationships is limited.
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48
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Tucker LA, Tucker JM, Bailey BW, LeCheminant JD. Dietary Patterns as Predictors of Body Fat and BMI in Women: A Factor Analytic Study. Am J Health Promot 2015; 29:e136-46. [DOI: 10.4278/ajhp.130327-quan-129] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Purpose. To identify independent patterns of diet using factor analysis to determine the extent to which dietary patterns account for differences in body fat percentage (BF%) and body mass index (BMI). Also, to ascertain the extent to which the associations are influenced by age, education, menopause, energy intake, and physical activity. Design. Study design was cross-sectional. Setting. Study setting was approximately 20 cities in the Mountain West. Subjects. The study included 281 apparently healthy female nonsmokers. Measures. Diet was assessed using 7-day weighed food records, and foods were categorized using the American Diabetes and American Dietetic Associations Exchange Lists and expressed as servings per 1000 kcal. BF% was measured using the Bod Pod, and physical activity was estimated using accelerometers worn for 1 week. Analysis. We used factor analysis, general linear models, and partial correlations. Results. Three dietary patterns were identified: (1) Prudent Pattern, (2) Low-fat Milk, and (3) Meat. Higher consumption of the Prudent Pattern corresponded with significantly lower BF% (F = 8.5, p = .0038) and BMI (F = 4.4, p = .0363). The Low-fat Milk pattern was inversely related to BF% (F= 5.4, p = .0207) and BMI (F= 9.5, p = .0023). Higher intake of the Meat pattern was related to higher levels of BF% (F= 4.5, p= .0346) and BMI (F= 4.2, p = .0418). Conclusion. These findings support an association between dietary patterns and body composition. Dietary patterns reflect the complex interrelationships inherent in day-to-day eating and are strongly related to differences in BF% and BMI in women.
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Casazza K, Brown A, Astrup A, Bertz F, Baum C, Brown MB, Dawson J, Durant N, Dutton G, Fields DA, Fontaine KR, Heymsfield S, Levitsky D, Mehta T, Menachemi N, Newby PK, Pate R, Raynor H, Rolls BJ, Sen B, Smith DL, Thomas D, Wansink B, Allison DB. Weighing the Evidence of Common Beliefs in Obesity Research. Crit Rev Food Sci Nutr 2015; 55:2014-53. [PMID: 24950157 PMCID: PMC4272668 DOI: 10.1080/10408398.2014.922044] [Citation(s) in RCA: 73] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Obesity is a topic on which many views are strongly held in the absence of scientific evidence to support those views, and some views are strongly held despite evidence to contradict those views. We refer to the former as "presumptions" and the latter as "myths." Here, we present nine myths and 10 presumptions surrounding the effects of rapid weight loss; setting realistic goals in weight loss therapy; stage of change or readiness to lose weight; physical education classes; breastfeeding; daily self-weighing; genetic contribution to obesity; the "Freshman 15"; food deserts; regularly eating (versus skipping) breakfast; eating close to bedtime; eating more fruits and vegetables; weight cycling (i.e., yo-yo dieting); snacking; built environment; reducing screen time in childhood obesity; portion size; participation in family mealtime; and drinking water as a means of weight loss. For each of these, we describe the belief and present evidence that the belief is widely held or stated, reasons to support the conjecture that the belief might be true, evidence to directly support or refute the belief, and findings from randomized controlled trials, if available. We conclude with a discussion of the implications of these determinations, conjecture on why so many myths and presumptions exist, and suggestions for limiting the spread of these and other unsubstantiated beliefs about the obesity domain.
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Affiliation(s)
- Krista Casazza
- a Department of Nutrition Sciences , University of Alabama at Birmingham , Birmingham , Alabama USA
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Meal types as sources for intakes of fruits, vegetables, fish and whole grains among Norwegian adults. Public Health Nutr 2014; 18:2011-21. [PMID: 25384694 DOI: 10.1017/s1368980014002481] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To study how different meals contribute to intakes of fruits, vegetables, fish and whole grains in a group of Norwegian adults and in subgroups of this population. Moreover, to investigate the consequences of skipping the meal contributing most to the intake of each food group (main contributing meal). DESIGN Cross-sectional dietary survey in Norwegian adults. Dietary data were collected using two non-consecutive telephone-administered 24 h recalls. The recorded meal types were breakfast, lunch, dinner, supper/evening meal and snacks. SETTING Nationwide, Norway (2010-2011). SUBJECTS Adults aged 18-70 years (n 1787). RESULTS Dinner was the main contributing meal for fish and vegetables, while snacks were the main contributing meal for fruit intake. For whole grains, breakfast was the main contributing meal. The main contributing meal did not change for any of the food groups when studying subgroups of the participants according to intake of each food group, educational level or age. A substantially lower intake of the food groups in question was found on days when the main contributing meal was skipped. CONCLUSIONS Intakes of fruits, vegetables, fish and whole grains largely depend on one meal type. Inclusion of these foods in other meals in addition to the main contributing meal, preferably replacing energy-dense nutrient-poor foods, should be promoted.
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