1
|
Fan Z, Xing Y, Gao Y, San Y, Zheng L, Wang Z, Regenstein JM. Soy proteins modified using cavitation jet technology. Int J Biol Macromol 2024; 278:134988. [PMID: 39181369 DOI: 10.1016/j.ijbiomac.2024.134988] [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: 06/13/2024] [Revised: 08/07/2024] [Accepted: 08/21/2024] [Indexed: 08/27/2024]
Abstract
Soy proteins are seen as a promising alternative food source for meat with environmentally friendly properties. The problem is that the functional properties of soy proteins do not meet the needs of the food industry, and some existing modification technologies have adverse effects. Recently, cavitation jet technology (CJT) has been studied because it generates high heat, high pressure, strong shear and strong shock waves. This review summarizes the history and mechanism of cavitation jets. The energy generated during the cavitation jet process can open molecular structures, and the shock waves and microjets generated can pulverize the materials by erosion. The impact of the CJT on the morphology, structure, and functionality of soy proteins is discussed. The impact of combining CJT with other techniques on the production of soy proteins was also reviewed. The modification of proteins using two or more methods with complementary strengths, avoiding the disadvantages of certain techniques, makes the modification of proteins more effective. One of the most prominent effects is the combined treatment of cavitation jets with physical techniques. Finally, the review provides a comprehensive analysis of the application of modified soy proteins in the food industry and highlights promising avenues for future research.
Collapse
Affiliation(s)
- Zhijun Fan
- College of Food Science, Northeast Agricultural University, Harbin, Heilongjiang 150030, China; Heilongjiang Beidahuang Green Health Food Co., Ltd., Kiamusze, Heilongjiang 154007, China
| | - Yuejiao Xing
- College of Food Science, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
| | - Yue Gao
- College of Food Science, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
| | - Yue San
- College of Food Science, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
| | - Li Zheng
- College of Food Science, Northeast Agricultural University, Harbin, Heilongjiang 150030, China.
| | - Zhongjiang Wang
- College of Food Science, Northeast Agricultural University, Harbin, Heilongjiang 150030, China.
| | - Joe M Regenstein
- Department of Food Science, Cornell University, Ithaca, NY 14853-7201, USA.
| |
Collapse
|
2
|
Li C, Bishop TRP, Imamura F, Sharp SJ, Pearce M, Brage S, Ong KK, Ahsan H, Bes-Rastrollo M, Beulens JWJ, den Braver N, Byberg L, Canhada S, Chen Z, Chung HF, Cortés-Valencia A, Djousse L, Drouin-Chartier JP, Du H, Du S, Duncan BB, Gaziano JM, Gordon-Larsen P, Goto A, Haghighatdoost F, Härkänen T, Hashemian M, Hu FB, Ittermann T, Järvinen R, Kakkoura MG, Neelakantan N, Knekt P, Lajous M, Li Y, Magliano DJ, Malekzadeh R, Le Marchand L, Marques-Vidal P, Martinez-Gonzalez MA, Maskarinec G, Mishra GD, Mohammadifard N, O'Donoghue G, O'Gorman D, Popkin B, Poustchi H, Sarrafzadegan N, Sawada N, Schmidt MI, Shaw JE, Soedamah-Muthu S, Stern D, Tong L, van Dam RM, Völzke H, Willett WC, Wolk A, Yu C, Forouhi NG, Wareham NJ. Meat consumption and incident type 2 diabetes: an individual-participant federated meta-analysis of 1·97 million adults with 100 000 incident cases from 31 cohorts in 20 countries. Lancet Diabetes Endocrinol 2024; 12:619-630. [PMID: 39174161 DOI: 10.1016/s2213-8587(24)00179-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 06/04/2024] [Accepted: 06/10/2024] [Indexed: 08/24/2024]
Abstract
BACKGROUND Meat consumption could increase the risk of type 2 diabetes. However, evidence is largely based on studies of European and North American populations, with heterogeneous analysis strategies and a greater focus on red meat than on poultry. We aimed to investigate the associations of unprocessed red meat, processed meat, and poultry consumption with type 2 diabetes using data from worldwide cohorts and harmonised analytical approaches. METHODS This individual-participant federated meta-analysis involved data from 31 cohorts participating in the InterConnect project. Cohorts were from the region of the Americas (n=12) and the Eastern Mediterranean (n=2), European (n=9), South-East Asia (n=1), and Western Pacific (n=7) regions. Access to individual-participant data was provided by each cohort; participants were eligible for inclusion if they were aged 18 years or older and had available data on dietary consumption and incident type 2 diabetes and were excluded if they had a diagnosis of any type of diabetes at baseline or missing data. Cohort-specific hazard ratios (HRs) and 95% CIs were estimated for each meat type, adjusted for potential confounders (including BMI), and pooled using a random-effects meta-analysis, with meta-regression to investigate potential sources of heterogeneity. FINDINGS Among 1 966 444 adults eligible for participation, 107 271 incident cases of type 2 diabetes were identified during a median follow-up of 10 (IQR 7-15) years. Median meat consumption across cohorts was 0-110 g/day for unprocessed red meat, 0-49 g/day for processed meat, and 0-72 g/day for poultry. Greater consumption of each of the three types of meat was associated with increased incidence of type 2 diabetes, with HRs of 1·10 (95% CI 1·06-1·15) per 100 g/day of unprocessed red meat (I2=61%), 1·15 (1·11-1·20) per 50 g/day of processed meat (I2=59%), and 1·08 (1·02-1·14) per 100 g/day of poultry (I2=68%). Positive associations between meat consumption and type 2 diabetes were observed in North America and in the European and Western Pacific regions; the CIs were wide in other regions. We found no evidence that the heterogeneity was explained by age, sex, or BMI. The findings for poultry consumption were weaker under alternative modelling assumptions. Replacing processed meat with unprocessed red meat or poultry was associated with a lower incidence of type 2 diabetes. INTERPRETATION The consumption of meat, particularly processed meat and unprocessed red meat, is a risk factor for developing type 2 diabetes across populations. These findings highlight the importance of reducing meat consumption for public health and should inform dietary guidelines. FUNDING The EU, the Medical Research Council, and the National Institute of Health Research Cambridge Biomedical Research Centre.
Collapse
Affiliation(s)
- Chunxiao Li
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Tom R P Bishop
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Stephen J Sharp
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Matthew Pearce
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Soren Brage
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Ken K Ong
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Habibul Ahsan
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, USA
| | - Maira Bes-Rastrollo
- University of Navarra, Idisna, Department of Preventive Medicine and Public Health, CIBEROBN-Instituto de Salud Carlos III, Pamplona, Spain
| | - Joline W J Beulens
- Department of Epidemiology and Data Science, Amsterdam UMC, location Vrije Universiteit, Amsterdam, The Netherlands; Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Nicole den Braver
- Department of Epidemiology and Data Science, Amsterdam UMC, location Vrije Universiteit, Amsterdam, The Netherlands; Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Liisa Byberg
- Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Scheine Canhada
- Postgraduate Program in Epidemiology, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Zhengming Chen
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Hsin-Fang Chung
- Australian Women and Girls' Health Research Centre, School of Public Health, University of Queensland, Brisbane, QLD, Australia
| | - Adrian Cortés-Valencia
- Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico
| | - Luc Djousse
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Jamaica Plain, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Jean-Philippe Drouin-Chartier
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Faculté de Pharmacie, Université Laval, Quebec City, QC, Canada
| | - Huaidong Du
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Shufa Du
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Jamaica Plain, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Atsushi Goto
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan; Department of Public Health, School of Medicine, Yokohama City University, Yokohama, Japan
| | - Fahimeh Haghighatdoost
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Tommi Härkänen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Maryam Hashemian
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Frank B Hu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Till Ittermann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Ritva Järvinen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Maria G Kakkoura
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Nithya Neelakantan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Paul Knekt
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Martin Lajous
- Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico; Department of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Yanping Li
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Jamaica Plain, MA, USA
| | | | - Reza Malekzadeh
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland; Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Miguel A Martinez-Gonzalez
- University of Navarra, Idisna, Department of Preventive Medicine and Public Health, CIBEROBN-Instituto de Salud Carlos III, Pamplona, Spain
| | | | - Gita D Mishra
- Australian Women and Girls' Health Research Centre, School of Public Health, University of Queensland, Brisbane, QLD, Australia
| | - Noushin Mohammadifard
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Gráinne O'Donoghue
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Donal O'Gorman
- School of Health and Human Performance, Dublin City University, Dublin, Ireland
| | - Barry Popkin
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hossein Poustchi
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran; Faculty of Medicine, School of Population and Public Health, The University of British Columbia, Vancouver, BC, Canada
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Sabita Soedamah-Muthu
- Centre of Research on Psychological Disorders and Somatic Diseases (CORPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, Netherlands; Institute for Food, Nutrition and Health, University of Reading, Reading, UK
| | - Dalia Stern
- CONAHCyT - Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico
| | - Lin Tong
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, USA
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Walter C Willett
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
| | - Nicholas J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
| |
Collapse
|
3
|
Dunneram Y, Lee JY, Watling CZ, Fraser GE, Miles F, Prabhakaran D, Shridhar K, Kondal D, Mohan V, Ali MK, Narayan KMV, Tandon N, Tong TYN, Chiu THT, Lin MN, Lin CL, Yang HC, Liang YJ, Greenwood DC, Du H, Chen Z, Yu C, Kakkoura MG, Reeves GK, Papier K, Floud S, Sinha R, Liao LM, Loftfield E, Cade JE, Key TJ, Perez-Cornago A. Methods and participant characteristics in the Cancer Risk in Vegetarians Consortium: a cross-sectional analysis across 11 prospective studies. BMC Public Health 2024; 24:2095. [PMID: 39095780 PMCID: PMC11296327 DOI: 10.1186/s12889-024-19209-y] [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: 06/20/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND The associations of vegetarian diets with risks for site-specific cancers have not been estimated reliably due to the low number of vegetarians in previous studies. Therefore, the Cancer Risk in Vegetarians Consortium was established. The aim is to describe and compare the baseline characteristics between non-vegetarian and vegetarian diet groups and between the collaborating studies. METHODS We harmonised individual-level data from 11 prospective cohort studies from Western Europe, North America, South Asia and East Asia. Comparisons of food intakes, sociodemographic and lifestyle factors were made between diet groups and between cohorts using descriptive statistics. RESULTS 2.3 million participants were included; 66% women and 34% men, with mean ages at recruitment of 57 (SD: 7.8) and 57 (8.6) years, respectively. There were 2.1 million meat eaters, 60,903 poultry eaters, 44,780 pescatarians, 81,165 vegetarians, and 14,167 vegans. Food intake differences between the diet groups varied across the cohorts; for example, fruit and vegetable intakes were generally higher in vegetarians than in meat eaters in all the cohorts except in China. BMI was generally lower in vegetarians, particularly vegans, except for the cohorts in India and China. In general, but with some exceptions, vegetarians were also more likely to be highly educated and physically active and less likely to smoke. In the available resurveys, stability of diet groups was high in all the cohorts except in China. CONCLUSIONS Food intakes and lifestyle factors of both non-vegetarians and vegetarians varied markedly across the individual cohorts, which may be due to differences in both culture and socioeconomic status, as well as differences in questionnaire design. Therefore, care is needed in the interpretation of the impacts of vegetarian diets on cancer risk.
Collapse
Affiliation(s)
- Yashvee Dunneram
- Cancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK.
- Human Nutrition Research Centre, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK.
| | - Jia Yi Lee
- Cancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK
| | - Cody Z Watling
- Cancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK
| | - Gary E Fraser
- Centre for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA, USA
| | - Fayth Miles
- Centre for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA, USA
| | - Dorairaj Prabhakaran
- Centre for Chronic Disease Control, New Delhi, India
- Public Health Foundation of India, Gurugram, Haryana, India
- Emory Global Diabetes Research Center, Woodruff Health Sciences Centerand, Emory University , Atlanta, GA, USA
- London School of Hygiene and Tropical Medicine, London, UK
| | - Krithiga Shridhar
- Centre for Chronic Disease Control, New Delhi, India
- Centre for Health Analytics, Trivedi School of Bioscience, Ashoka University, Research, and Trends, Sonipat, Haryana, India
| | - Dimple Kondal
- Centre for Chronic Disease Control, New Delhi, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation (ICMR Center for Advanced Research On Diabetes) and Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Mohammed K Ali
- Emory Global Diabetes Research Center, Woodruff Health Sciences Centerand, Emory University , Atlanta, GA, USA
- Hubert Department of Global Health, Emory University, Atlanta, GA, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Kabayam M Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Centerand, Emory University , Atlanta, GA, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Nikhil Tandon
- Department of Endocrinology, All India Institute of Medical Sciences, New Delhi, India
| | - Tammy Y N Tong
- Cancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK
| | - Tina H T Chiu
- Department of Nutritional Science, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Ming-Nan Lin
- Department of Family Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, 622, Taiwan
- Department of Family Medicine, College of Medicine, Tzu Chi University, Hualien, 970, Taiwan
| | - Chin-Lon Lin
- Buddhist Tzu Chi Medical Foundation, Hualien City, Taiwan
| | - Hsin-Chou Yang
- Institute of Statistical Science, Academia Sinica, Taipei City, Taiwan
| | - Yu-Jen Liang
- Institute of Statistical Science, Academia Sinica, Taipei City, Taiwan
| | | | - Huaidong Du
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield, Department of Population Health , University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield, Department of Population Health , University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Canqing Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, China
| | - Maria G Kakkoura
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield, Department of Population Health , University of Oxford, Oxford, UK
| | - Gillian K Reeves
- Cancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK
| | - Keren Papier
- Cancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK
| | - Sarah Floud
- Cancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Janet E Cade
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - Timothy J Key
- Cancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK.
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK
| |
Collapse
|
4
|
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.
Collapse
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
| |
Collapse
|
5
|
Segun A, Zhang B, Mary AM, Kibenja D, Ma J, Said S, Adeniyi I, Barrow LF. Exploring the relationship between dietary patterns and obesity among Nigerian adults: a cross-sectional study. BMC Public Health 2024; 24:1319. [PMID: 38750540 PMCID: PMC11094914 DOI: 10.1186/s12889-024-18792-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 05/08/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND/OBJECTIVE No previous study has investigated the association between dietary pattern and both general and abdominal obesity risk among adults in Nigeria. This study aimed to evaluate the associations between dietary patterns and the risk of obesity among adult age 18 and above in Ekiti State, Southwestern Nigeria. METHODS AND STUDY DESIGNS A total of 1003 adults were included in this cross-sectional study (males = 558; females = 445). Body mass index (BMI) and waist-to-hip (WHR) were used to assess general and abdominal obesity respectively and they were categorized using WHO recommendation. Partial correlation analyses were performed to assess the associations of dietary patterns with BMI and WHR. Prevalence ratio between dietary pattern and both general and abdominal obesity were calculated using Robust Poisson Regression. RESULTS The prevalence of general obesity among adults was 15.9%, (11.6% among men and 20.2% among women); abdominal obesity was 32.3% (28.9% among males and 44.5% among females). Four dietary patterns were identified; diversified traditional pattern; typical traditional pattern; milk and bread pattern and egg and fish pattern. Diversified traditional pattern was negatively associated with BMI (PR = 0.571, 95%CI: 0.360 ~ 0.905, p = 0.017), and typical traditional pattern was positively associated with BMI (PR = 1.561, 95% CI: 1.043 ~ 2.339, p = 0.031) and WHR in females (PR = 1.849, 95% CI: 1.256 ~ 2.721, p = 0.005). In comparison to those in the lowest quartile, adults with the highest quartile of the typical traditional pattern had a higher risk for abdominal obesity (PR = 1.849, 95%CI = 1.256 ~ 2.721, p = 0.020). CONCLUSION This study reports an alarming increase in Obesity prevalence among Nigeria adults which is greatly influence by their lifestyle and eating pattern. We found out that a typical traditional food pattern was associated with a higher risk of both general and abdominal obesity, but a diverse traditional food pattern was associated to a reduced risk of general obesity.
Collapse
Affiliation(s)
- Asaolu Segun
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
| | - Bo Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
| | - Abiona Modupe Mary
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
| | - Dennis Kibenja
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
| | - Jie Ma
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
| | - Seif Said
- Department Of Nursing and Public Health, Faculty of Health and Allied Science, Zanzibar University, Zanzibar, Tanzania
| | - Idowu Adeniyi
- Federal Ministry of Industry, Trade and Investment, Abuja, Nigeria
| | - Lamin F Barrow
- The Department of Public and Environmental Health, School of Medicine and Allied Health Science, University of Gambia, Serekunda, The Gambia.
| |
Collapse
|
6
|
Miura K, Yu R, Entwistle TR, McKenzie SC, Green AC. Association of diet quality and weight increase in adult heart transplant recipients. J Hum Nutr Diet 2024; 37:408-417. [PMID: 37997547 DOI: 10.1111/jhn.13263] [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: 07/23/2023] [Accepted: 10/31/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND Understanding the quality of the diet of heart transplant recipients (HTRs) is essential to developing effective dietary interventions for weight control, but relevant evidence is scarce. We investigated diet quality and its association with post-transplant increase in weight adjusted for height (body mass index [BMI]) in Australian HTRs. METHODS We recruited adult HTRs from Queensland's thoracic transplant clinic, 2020-2021. Study participants completed a 3-day food diary using a smart-phone app. Socio-demographic information was collected by self-administered questionnaire, and height, serial weight and clinical information were obtained from medical records. We calculated the Dietary Approaches to Stop Hypertension (DASH) index based on nine food groups and nutrients (index of 90 indicates highest possible quality), and any changes in BMI (≤ 0 kg m-2 or >0 kg m-2) post-transplantation. Median DASH index values were assessed in relation to sex and BMI change using Mann-Whitney U test. RESULTS Among 49 consented HTRs, 25 (51%) completed the food diary (median age 48 years, 52% females). Median BMI at enrolment was 27.2 kg m-2; median BMI change since transplant was +3.7 kg m-2. Fruit, vegetable, and whole grain intakes were generally lower than recommended, giving a low overall median DASH index of 30 with no sex differences. HTRs for which the BMI increased post-transplant had significantly lower median DASH indices than those whose BMI did not increase (30 vs. 45, p = 0.013). CONCLUSIONS The diet quality of HTRs appears suboptimal overall, with fruit and vegetable intakes especially low. HTRs whose BMI increased post-transplant had substantially lower quality diets than HTRs whose BMI did not increase.
Collapse
Affiliation(s)
- Kyoko Miura
- Population Health Department, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
- Faculty of Medicine, The University of Queensland, Herston, QLD, Australia
| | - Regina Yu
- Population Health Department, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | | | - Scott C McKenzie
- Faculty of Medicine, The University of Queensland, Herston, QLD, Australia
- Advanced Heart Failure and Cardiac Transplant Unit, The Prince Charles Hospital, Chermside, QLD, Australia
| | - Adèle C Green
- Population Health Department, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
- CRUK Manchester Institute and University of Manchester, Manchester, UK
| |
Collapse
|
7
|
Salinas-Roca B, Sánchez E, Bermúdez-López M, Valdivielso JM, Farràs-Sallés C, Pamplona R, Torres G, Mauricio D, Castro E, Fernández E, Hernández M, Rius F, Lecube A. Association between adherence to the mediterranean diet, physical activity, and sleep apnea-hypopnea syndrome (SAHS) in a middle-aged population with cardiovascular risk: Insights from the ILERVAS cohort. Sleep Med 2024; 116:19-26. [PMID: 38408422 DOI: 10.1016/j.sleep.2024.02.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/31/2024] [Accepted: 02/19/2024] [Indexed: 02/28/2024]
Abstract
INTRODUCTION Sleep Apnea-Hypopnea Syndrome (SAHS) is a common sleep disorder influenced by factors like age, gender, and obesity. The Mediterranean Diet (MedDiet) and physical activity have shown health benefits in lung diseases, but their effects on SAHS remain underexplored. METHODS In a cross-sectional analysis of 678 middle-aged individuals with low-to-moderate cardiovascular risk from the ILERVAS cohort, we assessed adherence to the MedDiet and physical activity levels using validated tools. Sleep parameters, SAHS severity, and excessive daytime sleepiness were evaluated through non-attended cardiorespiratory polygraphy and the Epworth Sleepiness Scale. Multinomial logistic regression models were employed to assess the relationship between MedDiet adherence, physical activity, and SAHS severity. RESULTS The prevalence of severe, moderate, and mild SAHS was 15.5%, 23.2% and 36.1%, respectively. We found no significant associations between adherence to the MedDiet, physical activity levels, and the presence or severity of SAHS. However, we noted a significant interaction between MedDiet and physical activity with minimum SpO2 values (p = 0.049). Notably, consuming more than one serving of red meat per day was independently associated with a higher risk of moderate SAHS [OR = 2.65 (1.29-5.44), p = 0.008]. CONCLUSION Individually, MedDiet adherence and physical activity did not show independent correlations with SAHS. However, when considered together, a minimal but significant effect on minimum SpO2 was observed. Additionally, red meat consumption was associated with a moderate risk of SAHS. Further research is necessary to comprehend the intricate connections between lifestyle factors and sleep-breathing disorders, with a focus on personalized approaches for high-risk populations.
Collapse
Affiliation(s)
- Blanca Salinas-Roca
- Endocrinology and Nutrition Department, University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida. University of Lleida, Lleida, Spain; Facultat de Ciències de la Salut-Universitat Ramón Llull Blanquerna, Barcelona, Spain
| | - Enric Sánchez
- Endocrinology and Nutrition Department, University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida. University of Lleida, Lleida, Spain
| | - Marcelino Bermúdez-López
- Vascular and Renal Translational Research Group, IRBLleida. Red de Investigación Renal, Instituto de Salud Carlos III (RedinRen-ISCIII), Lleida, Spain; Department of Experimental Medicine, IRBLleida, University of Lleida, Lleida, Spain
| | - José Manuel Valdivielso
- Vascular and Renal Translational Research Group, IRBLleida. Red de Investigación Renal, Instituto de Salud Carlos III (RedinRen-ISCIII), Lleida, Spain
| | - Cristina Farràs-Sallés
- Centre d'Atenció Primària Cappont. Gerència Territorial de Lleida, Institut Català de la Salut. Research Support Unit Lleida, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gorina (IDIAPJGol), Barcelona, Spain
| | - Reinald Pamplona
- Department of Experimental Medicine, IRBLleida, University of Lleida, Lleida, Spain
| | - Gerard Torres
- Respiratory Medicine Department, University Hospital Arnau de Vilanova and Santa María. Group of Translational Research in Respiratory Medicine, IRBLleida. University of Lleida, Lleida, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Dídac Mauricio
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau. Sant Pau Biomedical Research Institute (IIB Sant Pau). Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII). Madrid, Spain
| | - Eva Castro
- Vascular and Renal Translational Research Group, IRBLleida. Red de Investigación Renal, Instituto de Salud Carlos III (RedinRen-ISCIII), Lleida, Spain
| | - Elvira Fernández
- Vascular and Renal Translational Research Group, IRBLleida. Red de Investigación Renal, Instituto de Salud Carlos III (RedinRen-ISCIII), Lleida, Spain
| | - Marta Hernández
- Endocrinology and Nutrition Department, University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida. University of Lleida, Lleida, Spain
| | - Ferran Rius
- Endocrinology and Nutrition Department, University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida. University of Lleida, Lleida, Spain
| | - Albert Lecube
- Endocrinology and Nutrition Department, University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida. University of Lleida, Lleida, Spain.
| |
Collapse
|
8
|
Goode JP, Smith KJ, Breslin M, Kilpatrick M, Dwyer T, Venn AJ, Magnussen CG. Modelling the replacement of red and processed meat with plant-based alternatives and the estimated effect on insulin sensitivity in a cohort of Australian adults. Br J Nutr 2024; 131:1084-1094. [PMID: 37981891 PMCID: PMC10876457 DOI: 10.1017/s0007114523002659] [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: 09/07/2023] [Revised: 11/12/2023] [Accepted: 11/15/2023] [Indexed: 11/21/2023]
Abstract
Dietary guidelines are increasingly promoting mostly plant-based diets, limits on red meat consumption, and plant-based sources of protein for health and environmental reasons. It is unclear how the resulting food substitutions associate with insulin resistance, a risk factor for type 2 diabetes. We modelled the replacement of red and processed meat with plant-based alternatives and the estimated effect on insulin sensitivity. We included 783 participants (55 % female) from the Childhood Determinants of Adult Health study, a population-based cohort of Australians. In adulthood, diet was assessed at three time points using FFQ: 2004–2006, 2009–2011 and 2017–2019. We calculated the average daily intake of each food group in standard serves. Insulin sensitivity was estimated from fasting glucose and insulin concentrations in 2017–2019 (aged 39–49 years) using homoeostasis model assessment. Replacing red meat with a combination of plant-based alternatives was associated with higher insulin sensitivity (β = 10·5 percentage points, 95 % CI (4·1, 17·4)). Adjustment for waist circumference attenuated this association by 61·7 %. Replacing red meat with either legumes, nuts/seeds or wholegrains was likewise associated with higher insulin sensitivity. Point estimates were similar but less precise when replacing processed meat with plant-based alternatives. Our modelling suggests that regularly replacing red meat, and possibly processed meat, with plant-based alternatives may associate with higher insulin sensitivity. Further, abdominal adiposity may be an important mediator in this relationship. Our findings support advice to prioritise plant-based sources of protein at the expense of red meat consumption.
Collapse
Affiliation(s)
- James P. Goode
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS7000, Australia
| | - Kylie J. Smith
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS7000, Australia
| | - Monique Breslin
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS7000, Australia
| | - Michelle Kilpatrick
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS7000, Australia
| | - Terence Dwyer
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS7000, Australia
- Heart Research Group, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, UK
| | - Alison J. Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS7000, Australia
| | - Costan G. Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS7000, Australia
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Centre for Population Health Research, University of Turku, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| |
Collapse
|
9
|
Mitsunami M, Wang S, Soria-Contreras DC, Mínguez-Alarcón L, Ortiz-Panozo E, Stuart JJ, Souter I, Rich-Edwards JW, Chavarro JE. Prepregnancy plant-based diets and risk of hypertensive disorders of pregnancy. Am J Obstet Gynecol 2024; 230:366.e1-366.e19. [PMID: 37598996 PMCID: PMC10875146 DOI: 10.1016/j.ajog.2023.07.057] [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: 04/18/2023] [Revised: 07/28/2023] [Accepted: 07/31/2023] [Indexed: 08/22/2023]
Abstract
BACKGROUND Plant-based diets have been associated with a lower risk of cardiovascular disease in nonpregnant adults, but specific evidence for their effects on risk of hypertensive disorders of pregnancy is scarce. OBJECTIVE This study aimed to evaluate the prospective association between adherence to plant-based diets before pregnancy and the risk for hypertensive disorders of pregnancy. We hypothesized that women with higher adherence to plant-based diets would have a lower risk for hypertensive disorders of pregnancy. STUDY DESIGN We followed 11,459 parous women (16,780 singleton pregnancies) without chronic diseases, a history of preeclampsia, and cancers who participated in the Nurses' Health Study II (1991-2009), which was a prospective cohort study. Diet was assessed every 4 years using a validated food frequency questionnaire from which we calculated the plant-based diet index (higher score indicates higher adherence) to evaluate the health associations of plant-based diets among participants while accounting for the quality of plant-based foods. Participants self-reported hypertensive disorders of pregnancy, including preeclampsia and gestational hypertension. We estimated the relative risk of hypertensive disorders of pregnancy in relation to plant-based diet index adherence in quintiles using generalized estimating equations log-binomial regression while adjusting for potential confounders and accounting for repeated pregnancies for the same woman. RESULTS The mean (standard deviation) age at first in-study pregnancy was 35 (4) years. A total of 1033 cases of hypertensive disorders of pregnancy, including 482 cases of preeclampsia (2.9%) and 551 cases of gestational hypertension (3.3%) were reported. Women in the highest quintile of plant-based diet index were significantly associated with a lower risk for hypertensive disorders of pregnancy than women in the lowest quintile (relative risk, 0.76; 95% confidence interval, 0.62-0.93). There was an inverse dose-response relationship between plant-based diet index and risk for hypertensive disorders of pregnancy. The multivariable-adjusted relative risk (95% confidence interval) of hypertensive disorders of pregnancy for women in increasing quintiles of plant-based diet index were 1 (ref), 0.93 (0.78-1.12), 0.86 (0.72-1.03), 0.84 (0.69-1.03), and 0.76 (0.62-0.93) with a significant linear trend across quintiles (P trend=.005). This association was slightly stronger for gestational hypertension (relative risk, 0.77; 95% confidence interval, 0.60-0.99) than for preeclampsia (relative risk, 0.80; 95% confidence interval, 0.61-1.04). Mediation analysis suggested that body mass index evaluation for dietary assessment and pregnancy explained 39% (95% confidence interval, 15%-70%]) of the relation between plant-based diet index and hypertensive disorders of pregnancy and 48% (95% confidence interval, 12%-86%]) of the relation between plant-based diet index and gestational hypertension. CONCLUSION Higher adherence to plant-based diets was associated with a lower risk of developing hypertensive disorders of pregnancy. Much of the benefit seems to be related to improved weight control.
Collapse
Affiliation(s)
- Makiko Mitsunami
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Siwen Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | | | - Lidia Mínguez-Alarcón
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Eduardo Ortiz-Panozo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; Center for Population Health Research, National Institute of Public Health, Mexico
| | - Jennifer J Stuart
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Irene Souter
- Fertility Center, Vincent Department of Obstetrics and Gynecology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Janet W Rich-Edwards
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Jorge E Chavarro
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
| |
Collapse
|
10
|
Tang D, Hu Y, Zhang N, Xiao X, Zhao X. Change analysis for intermediate disease markers in nutritional epidemiology: a causal inference perspective. BMC Med Res Methodol 2024; 24:49. [PMID: 38413862 PMCID: PMC10898035 DOI: 10.1186/s12874-024-02167-9] [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: 03/20/2023] [Accepted: 02/01/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Several approaches are commonly used to estimate the effect of diet on changes of various intermediate disease markers in prospective studies, including "change-score analysis", "concurrent change-change analysis" and "lagged change-change analysis". Although empirical evidence suggests that concurrent change-change analysis is most robust, consistent, and biologically plausible, in-depth dissection and comparison of these approaches from a causal inference perspective is lacking. We intend to explicitly elucidate and compare the underlying causal model, causal estimand and interpretation of these approaches, intuitively illustrate it with directed acyclic graph (DAG), and further clarify strengths and limitations of the recommended concurrent change-change analysis through simulations. METHODS Causal model and DAG are deployed to clarify the causal estimand and interpretation of each approach theoretically. Monte Carlo simulation is used to explore the performance of distinct approaches under different extents of time-invariant heterogeneity and the performance of concurrent change-change analysis when its causal identification assumptions are violated. RESULTS Concurrent change-change analysis targets the contemporaneous effect of exposure on outcome (measured at the same survey wave), which is more relevant and plausible in studying the associations of diet and intermediate biomarkers in prospective studies, while change-score analysis and lagged change-change analysis target the effect of exposure on outcome after one-period timespan (typically several years). Concurrent change-change analysis always yields unbiased estimates even with severe unobserved time-invariant confounding, while the other two approaches are always biased even without time-invariant heterogeneity. However, concurrent change-change analysis produces almost linearly increasing estimation bias with violation of its causal identification assumptions becoming more serious. CONCLUSIONS Concurrent change-change analysis might be the most superior method in studying the diet and intermediate biomarkers in prospective studies, which targets the most plausible estimand and circumvents the bias from unobserved individual heterogeneity. Importantly, careful examination of the vital identification assumptions behind it should be underscored before applying this promising method.
Collapse
Affiliation(s)
- Dan Tang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Xiamen Center for Disease Control and Prevention, Xiamen, China
| | - Yifan Hu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Ning Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xiong Xiao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
| |
Collapse
|
11
|
Davies KP, Gibney ER, O'Sullivan AM. Moving towards more sustainable diets: Is there potential for a personalised approach in practice? J Hum Nutr Diet 2023; 36:2256-2267. [PMID: 37545042 DOI: 10.1111/jhn.13218] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 07/13/2023] [Indexed: 08/08/2023]
Abstract
Discourse on the relationship between food production, healthy eating and sustainability has become increasingly prominent and controversial in recent years. Research groups often take one perspective when reporting on sustainable diets, and several often neglect considerations for the multiple aspects that make a diet truly sustainable, such as cultural acceptability, differences in nutritional requirements amongst the population and the efficiency of long-term dietary change. Plant-based diets are associated with lower greenhouse gas emissions (GHGEs) and have been linked with better health outcomes, including lower risk of diet-related chronic disease. However, foods associated with higher GHGE, such as lean red meat, fish and dairy, have beneficial nutritional profiles and contribute significantly to micronutrient intakes. Some research has shown that diets associated with lower GHGE can be less nutritionally adequate. Several countries now include sustainability recommendations in dietary guidelines but use vague language such as "increase" or "consume regularly" when referring to plant-based foods. General population-based nutrition advice has poor adherence and does not consider differences in nutritional needs. Although modelling studies show potential to significantly reduce environmental impact with dietary changes, personalising such dietary recommendations has not been studied. Adapting recommendations to the individual through reproducible methods of personalised nutrition has been shown to lead to more favourable and longer-lasting dietary changes compared to population-based nutrition advice. When considering sustainable healthy dietary guidelines, personalised feedback may increase the acceptability, effectiveness and nutritional adequacy of the diet. A personalised approach has the potential for delivering a new structure of more sustainable healthy food-based dietary guidelines. This review evaluates the potential to develop personalised sustainable healthy food-based dietary guidelines and discusses potential implications for policy and practice.
Collapse
Affiliation(s)
- Katie P Davies
- UCD Institute of Food and Health, School of Agriculture and Food Science, Dublin, Ireland
| | - Eileen R Gibney
- UCD Institute of Food and Health, School of Agriculture and Food Science, Dublin, Ireland
| | - Aifric M O'Sullivan
- UCD Institute of Food and Health, School of Agriculture and Food Science, Dublin, Ireland
| |
Collapse
|
12
|
Łuszczki E, Boakye F, Zielińska M, Dereń K, Bartosiewicz A, Oleksy Ł, Stolarczyk A. Vegan diet: nutritional components, implementation, and effects on adults' health. Front Nutr 2023; 10:1294497. [PMID: 38024367 PMCID: PMC10665534 DOI: 10.3389/fnut.2023.1294497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 10/30/2023] [Indexed: 12/01/2023] Open
Abstract
Vegan diet has emerged as a popular dietary choice for people worldwide in recent times, due to concerns such as health issues, animal rights and welfare, and the sustainability of the environment. The purpose of this literature review was to explain how a vegan diet may affect the health of adults and to point out beneficial components found in it as well as any difficulties associated with its implementation. Evidence supports that a vegan diet can reduce the risk of chronic diseases, such as type 2 diabetes, hypertension, and certain types of cancer. A well-planned vegan diet must include adequate calories and nutrients, as well as the necessary supplements, such as vitamin B12, vitamin D and EPA/DHA. Given the current growing interest in plant-based diets among the general population, it is crucial to understand both the barriers, risks, and benefits of the vegan diet among physicians, policy makers, and the general population.
Collapse
Affiliation(s)
- Edyta Łuszczki
- Institute of Health Sciences, Medical College of Rzeszów University, Rzeszów, Poland
| | - Faustina Boakye
- Institute of Health Sciences, Medical College of Rzeszów University, Rzeszów, Poland
| | - Magdalena Zielińska
- Institute of Health Sciences, Medical College of Rzeszów University, Rzeszów, Poland
| | - Katarzyna Dereń
- Institute of Health Sciences, Medical College of Rzeszów University, Rzeszów, Poland
| | - Anna Bartosiewicz
- Institute of Health Sciences, Medical College of Rzeszów University, Rzeszów, Poland
| | - Łukasz Oleksy
- Faculty of Health Sciences, Department of Physiotherapy, Jagiellonian University Medical College, Kraków, Poland
| | - Artur Stolarczyk
- Orthopedic and Rehabilitation Department, Medical University of Warsaw, Warsaw, Poland
| |
Collapse
|
13
|
Seeber F. Past and present seroprevalence and disease burden estimates of Toxoplasma gondii infections in Germany: An appreciation of the role of serodiagnostics. Int J Med Microbiol 2023; 313:151592. [PMID: 38056090 DOI: 10.1016/j.ijmm.2023.151592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/21/2023] [Accepted: 11/28/2023] [Indexed: 12/08/2023] Open
Abstract
Toxoplasmosis is one of the major foodborne parasitic diseases in Germany, with 49% of its population chronically infected with its causative agent, Toxoplasma gondii. Although the acute disease is usually benign in immunocompetent individuals, it is a threat for immunocompromised patients as well as for fetuses of seronegative mothers. As a result of infection, congenital and ocular toxoplasmosis can have serious lifelong consequences. Here I will highlight the epidemiologic situation, from its past in the two separate parts of Germany, to its unification 30 years ago and up to the present day. The main identified risk factor for infection in Germany is thought to be the consumption of undercooked or raw meat or sausages. However, the relative impact of this risky eating habit as well as that of other risk factors are changing and are discussed and compared to the situation in the Netherlands. Finally, the importance of robust and efficient high-throughput serological assays for obtaining reliable epidemiological data, on which public health decisions can be made, is highlighted. The potential of bead-based multiplex assays, which allow the incorporation of multiple antigens with different analytical properties and thus yield additional information, are described in this context. It illustrates the interdependence of new analytic assay developments and sound epidemiology, a foundation that decades-old data from Germany did not have.
Collapse
Affiliation(s)
- Frank Seeber
- FG 16 - Mycotic and parasitic agents and mycobacteria, Robert Koch-Institut, Seestrasse 10, D-13353 Berlin, Germany.
| |
Collapse
|
14
|
Toujgani H, Brunin J, Perraud E, Allès B, Touvier M, Lairon D, Mariotti F, Pointereau P, Baudry J, Kesse-Guyot E. The nature of protein intake as a discriminating factor of diet sustainability: a multi-criteria approach. Sci Rep 2023; 13:17850. [PMID: 37857699 PMCID: PMC10587119 DOI: 10.1038/s41598-023-44872-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 10/12/2023] [Indexed: 10/21/2023] Open
Abstract
Animal production is responsible for 56-58% of the GHG emissions and limiting meat consumption would strongly contribute to reducing human health risks in Western countries. This study aimed to investigate the nature of protein intake as a discriminating factor for diets' sustainability. Using data from 29,210 French adults involved in the NutriNet-Santé cohort, we identified clusters according to 23 protein sources. A multicriteria (environmental, economic, nutritional and health) sustainability analysis was then conducted on the identified clusters. The economic analysis focused on both food and protein expenditure structures, using a budget coefficient approach. Relative values of clusters compared to the whole sample were calculated. We identified five clusters: milk-based, meat-based, fast food-based, healthy-fish-based, and healthy-plant-based. We found that the healthy-plant-based and healthy-fish-based clusters were the most sustainable, conciliating the compromise between human health (0.25 and 0.53 respectively for the Health Risk Score) and the protection of the environment (- 62% and - 19% respectively for the pReCiPe indicator). Conversely, the highest environmental impacts (+ 33% for the pReCiPe indicator) and the highest health risk (0.95 for the HRS) were observed for the meat-based cluster, which was associated with the lowest nutritional scores (- 61% for the PNNS-GS2 score). The economic analysis showed that the healthy-plant-based cluster was the one with the highest food budget coefficient (+ 46%), followed by the healthy-fish-based cluster (+ 8%), partly explained by a strong share of organic food in the diet. However, the meat-based cluster spent more of their food budget on their protein intake (+ 13%), while the healthy-plant-based cluster exhibited the lowest expenditure for this intake (- 41%). Our results demonstrate that the nature of protein intake is a discriminating factor in diet sustainability. Also, reducing animal protein consumption would generate co-benefits beyond environmental impacts, by being favorable for health, while reducing the monetary cost associated with protein intake.
Collapse
Affiliation(s)
- Hafsa Toujgani
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 Rue Marcel Cachin, 93017, Bobigny, France.
| | - Joséphine Brunin
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 Rue Marcel Cachin, 93017, Bobigny, France
- ADEME, (Agence de l'Environnement et de la Maîtrise de l'Energie), 49004, Angers, France
| | - Elie Perraud
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France
| | - Benjamin Allès
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 Rue Marcel Cachin, 93017, Bobigny, France
| | - Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 Rue Marcel Cachin, 93017, Bobigny, France
| | - Denis Lairon
- Aix Marseille Université, Inserm, INRAE, C2VN, 13005, Marseille, France
| | - François Mariotti
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France
| | | | - Julia Baudry
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 Rue Marcel Cachin, 93017, Bobigny, France
| | - Emmanuelle Kesse-Guyot
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 Rue Marcel Cachin, 93017, Bobigny, France
| |
Collapse
|
15
|
Zhao Z, Zhen S, Yan Y, Liu N, Ding D, Kong J. Association of dietary patterns with general and central obesity among Chinese adults: a longitudinal population-based study. BMC Public Health 2023; 23:1588. [PMID: 37605199 PMCID: PMC10440870 DOI: 10.1186/s12889-023-16556-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 08/18/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Limited evidence exists for the association between dietary patterns and later obesity phenotypes among Chinese adults. This longitudinal study aimed to evaluate associations of dietary patterns with general and central obesity in Chinese adults. METHODS Based on the China Health and Nutrition Survey (CHNS) waves 2004 and 2015, the study was conducted on 4207 adult men and women (age range: 18-65 years). Dietary intakes were assessed by three consecutive 24-h dietary recalls, and dietary patterns were identified using exploratory factor analysis. Longitudinal associations of dietary patterns with general and central obesity were evaluated using logistic regression analyses. RESULTS The prevalence rates of general and central obesity were 14.2% and 42.1%, respectively. Factor analysis extracted three major dietary patterns: "traditional southern," "modern," and "traditional northern." After adjustment for potential confounders, adults in the highest quartile of the traditional southern dietary group were less likely to develop over 10 years general (odds ratio [OR] = 0.50, 95% confidence interval [95%CI]: 0.39, 0.65) and central (OR = 0.52, 95%CI: 0.43, 0.63) obesity compared to those in the lowest quartile group. The modern dietary pattern was not significantly associated with general and central obesity. Adherence to the traditional northern dietary pattern increased the chance of both general and central obesity (OR = 1.61, 95%CI: 1.23, 2.10; OR = 1.64, 95%CI: 1.36, 1.98) after 10 years. CONCLUSIONS Our study provides longitudinal evidence for associations between dietary patterns and later obesity phenotypes among Chinese adults. Our findings may guide the development of evidence-based preventive nutrition interventions to control the obesity epidemic.
Collapse
Affiliation(s)
- Zhongyi Zhao
- Department of Clinical Nutrition, Shengjing Hospital of China Medical University, Shenyang, 110004, China
- Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Shihan Zhen
- School of Public Health, China Medical University, Shenyang, 110122, China
| | - Yumeng Yan
- Department of Clinical Nutrition, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Ning Liu
- Department of Clinical Nutrition, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Ding Ding
- Department of Clinical Nutrition, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Juan Kong
- Department of Clinical Nutrition, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
| |
Collapse
|
16
|
Papier K, Kakkoura MG, Guo Y, Knuppel A, Pei P, Tong TYN, Yu C, Perez-Cornago A, Chang WC, Chen J, Lv J, Li L, Chen Z, Du H, Key TJ. Intakes of major food groups in China and UK: results from 100,000 adults in the China Kadoorie biobank and UK biobank. Eur J Nutr 2023; 62:819-832. [PMID: 36271961 PMCID: PMC9941233 DOI: 10.1007/s00394-022-03031-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 10/05/2022] [Indexed: 02/03/2023]
Abstract
PURPOSE Different populations may exhibit differences in dietary intakes, which may result in heterogeneities in diet-disease associations. We compared intakes of major food groups overall, by sex, and by socio-economic status (SES) (defined as both education and income), between participants in the China Kadoorie Biobank (CKB) and the UK Biobank (UKB). METHODS Data were from ~ 25,000 CKB participants who completed a validated interviewer-administered computer-based questionnaire (2013-2014) and ~ 74,000 UKB participants who completed ≥ 3 web-based 24-h dietary assessments (2009-2012). Intakes of 12 major food groups and five beverages were harmonized and compared between the cohorts overall, by sex and by SES. Multivariable-adjusted linear regression examined the associations between dietary intakes and body mass index (BMI) in each cohort. RESULTS CKB participants reported consuming more rice, eggs, vegetables, soya products, and less wheat, other staple foods (other than rice and wheat), fish, poultry, all dairy products, fruit, and beverages compared to UKB participants. Red meat intake was similar in both cohorts. Having a higher SES was generally associated with a higher consumption of foods and beverages in CKB, whereas in UKB dietary intakes differed more by education and income, with a positive association observed for meat and income in both UKB and CKB but an inverse association observed for education in UKB. Associations of dietary intakes with BMI varied between the two cohorts. CONCLUSION The large differences in dietary intakes and their associations with SES and BMI could provide insight into the interpretation of potentially different diet-disease associations between CKB and UKB.
Collapse
Affiliation(s)
- Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Maria G Kakkoura
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
- Fuwai Hospital Chinese Academy of Medical Sciences, Beijing, China
| | - Anika Knuppel
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
| | - Pei Pei
- Fuwai Hospital Chinese Academy of Medical Sciences, Beijing, China
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, 100191, China
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Wing Ching Chang
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, 100191, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research 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
| |
Collapse
|
17
|
Almoraie NM, Shatwan IM, Althaiban MA, Hanbazaza MA, Wazzan HA, Aljefree NM. Associations between dietary intake, physical activity, and obesity among public school teachers in Jeddah, Saudi Arabia. Front Nutr 2023; 10:1081928. [PMID: 36761223 PMCID: PMC9902718 DOI: 10.3389/fnut.2023.1081928] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 01/09/2023] [Indexed: 01/26/2023] Open
Abstract
Objective We aimed to assess the dietary intake of certain food groups in a representative sample of public-school teachers living in Jeddah city. We also, examined the association of dietary intake with physical activity and obesity among schoolteachers. Methods The study was a cross-sectional online survey, conducted among 640 (177 male, 463 female) schoolteachers aged between 20 and 62 years old and working in public primary, intermediate, and high schools in Jeddah. Measurements included gender, weight, height, body mass index (BMI), health problems, and lifestyle behaviours, including physical activity levels, smoking status, and dietary intake. Results Based on gender, number of non-smoking women (94%) was higher than number of non-smoking men (57.1%) (P < 0.001). However, men were more active than women (P = 0.03). Regarding BMI, there were more overweight men than women, while obese women numbered more than men (P = 0.003). There was no significant difference in dietary intake between men and women except that men consumed more soft drinks than women (P = 0.002). Lower physically active schoolteachers were less likely to consume salad (OR = 0.6, 95% CI 0.4-0.9; P = 0.02), vegetables (OR = 0.6, 95% CI 0.3-0.9; P = 0.01), beans and legumes (OR = 0.4, 95% CI 0.2-0.7; P = 0.005), wholegrain bread (OR = 0.6, 95% CI 0.4-0.9; P = 0.03), dairy products (OR = 0.6, 95% CI 0.4-0.9; P = 0.01), snacks (OR = 0.5, 95% CI 0.2-0.8; P = 0.01), and fish (OR = 0.4, 95% CI 0.2-0.9; P = 0.04) compared to those with high levels of physical activity. Only fruit intake was considered statistically significant (OR = 0.4, 95% CI 0.3-0.7; P = 0.003). The study found a relationship between the BMI of schoolteachers and food intake. Obese schoolteachers had lower consumption of fruits (OR = 0.3, 95% CI 0.2-0.7; P = 0.007) and white meat (OR = 0.5, 95%CI 0.3-0.9; P = 0.03) than schoolteachers in the normal weight group. Conclusion The high prevalence of physical activity, dietary intake and body weight among Saudi teachers is a major public health concern. The present study identified several lifestyle factors associated with body weight that may represent valid targets for the prevention and management of obesity among Saudi school teachers. Promoting active lifestyles and healthy diets would be primary targets for obesity prevention.
Collapse
|
18
|
Red and White Meat Intake in Relation to Gut Flora in Obese and Non-Obese Arab Females. Foods 2023; 12:foods12020245. [PMID: 36673337 PMCID: PMC9857880 DOI: 10.3390/foods12020245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 12/20/2022] [Accepted: 12/28/2022] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND high meat intake may contribute to several chronic diseases including obesity. However, evidence is insufficient on the relation between red/white meat intake and gut flora among individuals with varying degrees of adiposity. OBJECTIVE investigate the association of red/white meat intake with gut flora in Saudi Arabian females with/without obesity. METHODS this observational study involved 92 females with and without obesity (n = 44, 48, respectively) aged 19-25 years. The whole-genome shotgun technique was used to analyze the gut flora. Shannon alpha and Bray-Curtis beta diversity as well as correlation coefficients were used. RESULTS in the total sample, there were positive correlations between Actinobacteria, Bacteroides (p ≤ 0.05), Flavonifractor plautii (p ≤ 0.0001), and total red meat intake. There were also positive correlations between total white meat intake, Bacteroides, and Faecalibacterium prausnitzii (p ≤ 0.05) in the total sample. In the group without obesity, there was a positive correlation between low white meat intake and Actinobacteria (p = 0.05). In the group with obesity, there was a positive correlation between high white meat intake and Bacteroides (p ≤ 0.001). CONCLUSION our findings suggest that meat intake had an impact on the gut flora of Arab adult females, independent of adiposity. Specific strains identified in this study need further investigation to determine their relation to meat intake and obesity.
Collapse
|
19
|
Damigou E, Kosti RI, Panagiotakos DB. White Meat Consumption and Cardiometabolic Risk Factors: A Review of Recent Prospective Cohort Studies. Nutrients 2022; 14:nu14245213. [PMID: 36558372 PMCID: PMC9781954 DOI: 10.3390/nu14245213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022] Open
Abstract
Although the association between meat consumption and cardiovascular diseases (CVDs) has been extensively investigated, studies focusing specifically on the relationship between white meat consumption and CVD risk factors are fewer with controversial findings. The aim was to evaluate the relationship between white meat consumption and the incidence of cardiometabolic risk factors. A comprehensive literature search of PubMed articles was conducted from 2010 to 2022 (1 November), according to PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. Thirteen prospective cohort studies were selected studying mainly poultry, with the exception of one study that also analyzed rabbit meat. From the seven studies on the risk of type 2 diabetes mellitus, four studies found no association, two studies found positive associations, and two studies found inverse associations when comparing poultry to other meats. Of the two studies on the risk of hypertension, one observed no association and one a positive association. Of the two studies on weight management, one observed a positive association with weight gain, the other study observed the same relationship only for chicken with skin, while for chicken without skin a positive relationship with relative weight loss was found. As for metabolic syndrome and its components, two studies revealed inverse associations with white meat intake. Only fresh lean white meat consumption seems to have potential beneficial effects on cardiometabolic risk factors. Future research should scrutinize consumption habits related to white meat intake when investigating its association with cardiometabolic risk factors.
Collapse
Affiliation(s)
- Evangelia Damigou
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 176 76 Athens, Greece
| | - Rena I. Kosti
- Department of Nutrition and Dietetics, School of Physical Education, Sports and Dietetics, University of Thessaly, 382 21 Trikala, Greece
| | - Demosthenes B. Panagiotakos
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 176 76 Athens, Greece
- Correspondence:
| |
Collapse
|
20
|
Khodayari S, Sadeghi O, Safabakhsh M, Mozaffari-Khosravi H. Meat consumption and the risk of general and central obesity: the Shahedieh study. BMC Res Notes 2022; 15:339. [PMID: 36320017 PMCID: PMC9628015 DOI: 10.1186/s13104-022-06235-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/21/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022] Open
Abstract
Objective This study aimed to investigate the relations of total meat intake and its subtypes, including red and processed meat, white meat, poultry, fish, and organ meat to the risk of general/central obesity. Methods This cross-sectional study included a total of 7312 Iranian adults with the age range of 35–70 years from the Shahedieh cohort study, Yazd, Iran. Dietary intake of subjects was evaluated using a validated 120-item Food Frequency Questionnaire. General obesity was defined as body mass index ≥ 30 kg/m2 and central obesity as waist circumference ≥ 102 cm in men and ≥ 88 cm in women. Results After controlling for potential covariates including energy intake, age, marital status, gender, physical activity, supplement use, house possession, education, family size, current smoking, night shift working, history of thyroid disease and depression, and intakes of vegetables, legumes, nuts, fruits, whole grains, and dairy, a significant direct association was found between the higher consumption of white meat (OR = 1.31; 95% CI: 1.06–1.61) and poultry (OR = 1.23; 95% CI: 1.04–1.45) with odds of general obesity. Processed meat was a significant predictor for central obesity in the fully adjusted model, so that individuals in the fourth quartile of processed meat intake, compared with those in the first quartile, had a 22% (OR = 1.22; 95% CI: 1.04–1.43) increased risk to be centrally obese. Conclusion This study reveals that higher intakes of white meat and poultry are associated with increased risk of general obesity, while, processed meat consumption was associated with central obesity.
Collapse
Affiliation(s)
- Shaghayegh Khodayari
- grid.412505.70000 0004 0612 5912Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Omid Sadeghi
- grid.411705.60000 0001 0166 0922Students’ Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran ,grid.411705.60000 0001 0166 0922Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Safabakhsh
- grid.411705.60000 0001 0166 0922Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Hassan Mozaffari-Khosravi
- grid.412505.70000 0004 0612 5912Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran ,grid.412505.70000 0004 0612 5912Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| |
Collapse
|
21
|
Makura-Kankwende CBT, Gradidge PJ, Crowther NJ, Ratshikombo T, Goedecke JH, Micklesfield LK, Norris SA, Chikowore T. Association of Longitudinal Nutrient Patterns with Body Composition in Black Middle-Aged South African Women: A Five-Year Follow-Up Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12792. [PMID: 36232088 PMCID: PMC9565998 DOI: 10.3390/ijerph191912792] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 09/22/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
This study aimed to evaluate the association of longitudinal nutrient patterns with body composition in a cohort of 132 black South African middle-aged women over five years. Nutrient patterns were identified using principal component analysis at baseline and follow-up 5 years later. Associations between nutrient patterns and repeated body composition measures were evaluated using generalized estimating equations, before and after adjusting for baseline education and repeated measures of age, socio-economic status, physical activity and employment. The animal-driven nutrient pattern was associated with increases in repeated measures of visceral adipose tissue (VAT) (β coefficient, 5.79 [95% CI, 0.01-11.57] cm2), fat mass index (FMI) (0.47 [0.01-0.93] kg·m-2) and lean mass index (LMI) (0.50 [0.18-1.17] kg·m-2) (p < 0.05) after adjustment. Vitamin C, sugar, and potassium-driven nutrient pattern was associated with higher FMI (0.50 [0.12-0.88] kg·m-2) and LMI (0.58 [0.07-1.10] kg·m-2) before and after adjustment (p < 0.05). These findings suggest that dietary interventions to curb obesity in black middle-aged South African women should focus on attenuation of nutrient patterns centred on added sugar, animal fat and animal protein.
Collapse
Affiliation(s)
- Caroline B. T. Makura-Kankwende
- SAMRC/Wits Developmental Pathways for Health Research Unit (DPHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2198, South Africa
| | - Philippe J. Gradidge
- Department of Exercise Science and Sports Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2198, South Africa
| | - Nigel J. Crowther
- Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2192, South Africa
| | - Tshifhiwa Ratshikombo
- SAMRC/Wits Developmental Pathways for Health Research Unit (DPHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2198, South Africa
| | - Julia H. Goedecke
- SAMRC/Wits Developmental Pathways for Health Research Unit (DPHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2198, South Africa
- Biomedical Research and Innovation Platform, South African Medical Research Council, Cape Town 7505, South Africa
- University of Stirling, Stirling FK9 4LA, UK
| | - Lisa K. Micklesfield
- SAMRC/Wits Developmental Pathways for Health Research Unit (DPHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2198, South Africa
| | - Shane A. Norris
- SAMRC/Wits Developmental Pathways for Health Research Unit (DPHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2198, South Africa
- School of Human Development and Health, University of Southampton, Southampton SO17 1BJ, UK
| | - Tinashe Chikowore
- SAMRC/Wits Developmental Pathways for Health Research Unit (DPHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2198, South Africa
| |
Collapse
|
22
|
Vela-Vásquez DA, Sifuentes-Rincón AM, Delgado-Enciso I, Ordaz-Pichardo C, Arellano-Vera W, Treviño-Alvarado V. Effect of Consuming Beef with Varying Fatty Acid Compositions as a Major Source of Protein in Volunteers under a Personalized Nutritional Program. Nutrients 2022; 14:3711. [PMID: 36145087 PMCID: PMC9501318 DOI: 10.3390/nu14183711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 09/03/2022] [Accepted: 09/05/2022] [Indexed: 11/16/2022] Open
Abstract
Beef is an excellent source of nutrients; unfortunately, most nutritional recommendations suggest limiting or even avoiding it. Studies have shown that the fatty acid composition of meat influences weight loss. This randomized controlled clinical trial evaluated the anthropometric and serum lipid changes after a food intervention that included frequent beef consumption (120 g consumed four days/week for four weeks). Volunteers were randomly assigned to the commercial or Wagyu-Cross beef groups, with the latter beef possessing higher fat and MUFA contents. Both groups exhibited reductions in body measurements and lipid profiles; however, the Wagyu-Cross group exhibited greater changes in weight (-3.75 vs. -2.90 kg) and BMI (-1.49 vs. -1.03) than the commercial group, without a significant difference between them. No significant group differences in lipid profiles were observed; however, the Wagyu-Cross group exhibited a more favorable change in decreasing the TC concentration (-7.00 mg/dL) and LDL-C concentration (-12.5 mg/dL). We suggest that high MUFA beef could be included in weight-loss programs since it does not affect weight loss and hasn't a negative influence on lipid metabolism.
Collapse
Affiliation(s)
- Diana A. Vela-Vásquez
- Animal Biotechnology Laboratory, Center for Genomic Biotechnology, Instituto Politécnico Nacional, Reynosa 88710, Mexico
| | - Ana M. Sifuentes-Rincón
- Animal Biotechnology Laboratory, Center for Genomic Biotechnology, Instituto Politécnico Nacional, Reynosa 88710, Mexico
| | - Iván Delgado-Enciso
- Faculty of Medicine, University of Colima, Colima 28040, Mexico
- State Institute of Cancerology of the Health Services of the State of Colima, Colima 28085, Mexico
| | - Cynthia Ordaz-Pichardo
- National School of Medicine and Homeopathy, Instituto Politécnico Nacional, Mexico City 07320, Mexico
| | - Williams Arellano-Vera
- Animal Biotechnology Laboratory, Center for Genomic Biotechnology, Instituto Politécnico Nacional, Reynosa 88710, Mexico
| | - Víctor Treviño-Alvarado
- School of Medicine, Tecnológico de Monterrey, Monterrey 64710, Mexico
- The Institute for Obesity Research, Tecnológico de Monterrey, Monterrey 64710, Mexico
| |
Collapse
|
23
|
Urbanization and Unfavorable Changes in Metabolic Profiles: A Prospective Cohort Study of Indonesian Young Adults. Nutrients 2022; 14:nu14163326. [PMID: 36014832 PMCID: PMC9414085 DOI: 10.3390/nu14163326] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/10/2022] [Accepted: 08/11/2022] [Indexed: 11/17/2022] Open
Abstract
The substantial increase in the prevalence of non-communicable diseases in Indonesia might be driven by rapid socio-economic development through urbanization. Here, we carried out a longitudinal 1-year follow-up study to evaluate the effect of urbanization, an important determinant of health, on metabolic profiles of young Indonesian adults. University freshmen/women in Jakarta, aged 16−25 years, who either had recently migrated from rural areas or originated from urban settings were studied. Anthropometry, dietary intake, and physical activity, as well as fasting blood glucose and insulin, leptin, and adiponectin were measured at baseline and repeated at one year follow-up. At baseline, 106 urban and 83 rural subjects were recruited, of which 81 urban and 66 rural were followed up. At baseline, rural subjects had better adiposity profiles, whole-body insulin resistance, and adipokine levels compared to their urban counterparts. After 1-year, rural subjects experienced an almost twice higher increase in BMI than urban subjects (estimate (95%CI): 1.23 (0.94; 1.52) and 0.69 (0.43; 0.95) for rural and urban subjects, respectively, Pint < 0.01). Fat intake served as the major dietary component, which partially mediates the differences in BMI between urban and rural group at baseline. It also contributed to the changes in BMI over time for both groups, although it does not explain the enhanced gain of BMI in rural subjects. A significantly higher increase of leptin/adiponectin ratio was also seen in rural subjects after 1-year of living in an urban area. In conclusion, urbanization was associated with less favorable changes in adiposity and adipokine profiles in a population of young Indonesian adults.
Collapse
|
24
|
Rodríguez-Ramírez S, Martinez-Tapia B, González-Castell D, Cuevas-Nasu L, Shamah-Levy T. Westernized and Diverse Dietary Patterns Are Associated With Overweight-Obesity and Abdominal Obesity in Mexican Adult Men. Front Nutr 2022; 9:891609. [PMID: 35811984 PMCID: PMC9263742 DOI: 10.3389/fnut.2022.891609] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 05/30/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction The prevalence of overweight and obesity in Mexican adults is very high. To identify the dietary characteristics related with this disorder is necessary to design intervention. The objective was to analyze the association between dietary patterns and obesity in Mexican adults. Materials and Methods This is a cross-sectional study carried out in Mexican adults (20-59 years old) participating in the Halfway National Health and Nutrition Survey 2016. Participants (n = 5,735) were classified as having normal weight, overweight-obesity and by their abdominal circumference as having abdominal obesity or not. With information from a 7-day food frequency questionnaire, we used a K-means cluster analysis to derive dietary patterns and calculated a healthy diet indicator to evaluate quality. The association between dietary patterns and overweight-obesity and abdominal obesity was assessed with Poisson regression models adjusted by some characteristics. Results We identified a Rural pattern characterized by tortilla, legumes and egg consumption; a Diverse pattern, characterized by fruits, meat and poultry, vegetables, and dairy beverages, and desserts; and a Westernized pattern, characterized by sweetened non-dairy beverages, fast food, bakery and cookies, candies and salty snacks. In men, Westernized pattern was associated with overweight-obesity (PR = 1.11, 95% CI 0.97-1.27), and abdominal obesity (PR = 1.15, 95% CI 1.00-1.33), the Diverse pattern was associated with overweight-obesity (PR = 1.18, 95% CI 1.00-1.38), and abdominal obesity (PR = 1.27, 95% CI 1.07-1.50), compared with the Rural pattern. In women, these dietary patterns were not associated with obesity. Discussion Westernized and Diverse patterns are associated with overweight and obesity and abdominal obesity in men. Gender-specific recommendations and surveillance are necessary in the Mexican adult population.
Collapse
Affiliation(s)
- Sonia Rodríguez-Ramírez
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Mexico
| | - Brenda Martinez-Tapia
- Center for Research on Evaluation and Surveys, National Institute of Public Health, Cuernavaca, Mexico
| | - Dinorah González-Castell
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Mexico
| | - Lucía Cuevas-Nasu
- Center for Research on Evaluation and Surveys, National Institute of Public Health, Cuernavaca, Mexico
| | - Teresa Shamah-Levy
- Center for Research on Evaluation and Surveys, National Institute of Public Health, Cuernavaca, Mexico
| |
Collapse
|
25
|
Bègue L, Shankland R. Is vegetarianism related to anxiety and depression? A cross-sectional survey in a French sample. JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2022; 41:18. [PMID: 35534854 PMCID: PMC9087979 DOI: 10.1186/s41043-022-00300-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 04/27/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The relationship between vegetarianism and mental health is controversial. The aim of the present study is to examine the cross-sectional association between anxiety, depression, and vegetarianism in a French sample while controlling for potential confounders. DESIGN Self-reported questionnaire data were obtained from a large cross-sectional sample. PARTICIPANTS AND SETTING We included an online sample of 6578 participants aged 18-90, 70.8% females. RESULTS Analyses of variance with age, gender, body mass index (BMI), educational level, monthly income, and city size as covariates showed that vegetarians and non-vegetarians did not appear to have significantly different levels of anxiety or depression. CONCLUSION Our findings do not suggest a link between plant-based diet and anxiety or depression, either before or after adjustment for relevant factors.
Collapse
Affiliation(s)
- Laurent Bègue
- LIP/PC2S, University Grenoble Alpes, Grenoble, France
| | | |
Collapse
|
26
|
Plant-Based Dietary Patterns for Human and Planetary Health. Nutrients 2022; 14:nu14081614. [PMID: 35458176 PMCID: PMC9024616 DOI: 10.3390/nu14081614] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/08/2022] [Accepted: 04/11/2022] [Indexed: 12/24/2022] Open
Abstract
The coronavirus pandemic has acted as a reset on global economies, providing us with the opportunity to build back greener and ensure global warming does not surpass 1.5 °C. It is time for developed nations to commit to red meat reduction targets and shift to plant-based dietary patterns. Transitioning to plant-based diets (PBDs) has the potential to reduce diet-related land use by 76%, diet-related greenhouse gas emissions by 49%, eutrophication by 49%, and green and blue water use by 21% and 14%, respectively, whilst garnering substantial health co-benefits. An extensive body of data from prospective cohort studies and controlled trials supports the implementation of PBDs for obesity and chronic disease prevention. The consumption of diets high in fruits, vegetables, legumes, whole grains, nuts, fish, and unsaturated vegetable oils, and low in animal products, refined grains, and added sugars are associated with a lower risk of all-cause mortality. Meat appreciation, health concerns, convenience, and expense are prominent barriers to PBDs. Strategic policy action is required to overcome these barriers and promote the implementation of healthy and sustainable PBDs.
Collapse
|
27
|
Angeles-Agdeppa I, Nakamura T, Sugita M, Toledo MB, Sampaga PC, Zamora JAT. Dietary risk factors of physical growth of Filipino school-aged children. Food Nutr Res 2022. [DOI: 10.29219/fnr.v66.7873] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
|
28
|
Lotfi K, Saneei P, Hajhashemy Z, Esmaillzadeh A. Adherence to the Mediterranean Diet, Five-Year Weight Change, and Risk of Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies. Adv Nutr 2022; 13:152-166. [PMID: 34352891 PMCID: PMC8803490 DOI: 10.1093/advances/nmab092] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 06/07/2021] [Accepted: 07/06/2021] [Indexed: 12/31/2022] Open
Abstract
Findings from earlier studies on the association between adherence to a Mediterranean diet and risk of overweight/obesity were inconsistent. We summarized cohort studies investigating the association between the Mediterranean diet and risk of overweight and/or obesity and weight change in adults. A systematic search of PubMed, Scopus, ISI Web of Science, and Google Scholar was conducted up to May 2021. Prospective cohorts that examined the Mediterranean diet adherence in adults as the exposure, and overweight and/or obesity or weight change as the outcomes, and reported RRs or β coefficients and 95% CIs as the effect sizes were included. Seven prospective cohort studies were included of which 6 studies (with 244,678 adult participants) reported the risk of overweight and/or obesity, and 4 cohorts (with 436,617 participants) reported the weight change (3 cohorts reported both overweight and/or obesity risk and weight change). Combining 15 effect sizes from 6 cohorts revealed that greater adherence to the Mediterranean diet was significantly associated with a 9% decreased risk of overweight and/or obesity (RR: 0.91; 95% CI: 0.88, 0.94; I2 = 44.7%; PQ-test = 0.031). This association was significant in the case of studies investigating combined overweight and obesity (RR: 0.92; 95% CI: 0.88, 0.96; I2 = 29.4%; PQ-test = 0.166), but not for studies that reported on obesity (RR: 0.68; 95% CI: 0.43, 1.10, I2 = 50.6%, PQ-test = 0.132). Linear dose-response analysis of 6 studies showed a 2% decreased risk of overweight and/or obesity for 1 additional Mediterranean diet score (RR: 0.98; 95% CI: 0.96, 0.99). Each unit increase in the Mediterranean diet score was associated with 0.04 kg less weight gain over 5 y (-0.04 kg; 95% CI: -0.07, -0.02 kg; 13 effect sizes from 4 cohorts). In conclusion, Mediterranean diet adherence is inversely associated with risk of overweight and/or obesity as well as 5-y weight gain and thus has practical importance for public health.
Collapse
Affiliation(s)
- Keyhan Lotfi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Parvane Saneei
- Department of Community Nutrition, School of Nutrition and Food Science, Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Zahra Hajhashemy
- Department of Community Nutrition, School of Nutrition and Food Science, Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ahmad Esmaillzadeh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
- Department of Community Nutrition, School of Nutrition and Food Science, Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
29
|
Nandy D, Craig SJC, Cai J, Tian Y, Paul IM, Savage JS, Marini ME, Hohman EE, Reimherr ML, Patterson AD, Makova KD, Chiaromonte F. Metabolomic profiling of stool of two-year old children from the INSIGHT study reveals links between butyrate and child weight outcomes. Pediatr Obes 2022; 17:e12833. [PMID: 34327846 PMCID: PMC8647636 DOI: 10.1111/ijpo.12833] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 05/11/2021] [Accepted: 06/09/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Metabolomic analysis is commonly used to understand the biological underpinning of diseases such as obesity. However, our knowledge of gut metabolites related to weight outcomes in young children is currently limited. OBJECTIVES To (1) explore the relationships between metabolites and child weight outcomes, (2) determine the potential effect of covariates (e.g., child's diet, maternal health/habits during pregnancy, etc.) in the relationship between metabolites and child weight outcomes, and (3) explore the relationship between selected gut metabolites and gut microbiota abundance. METHODS Using 1 H-NMR, we quantified 30 metabolites from stool samples of 170 two-year-old children. To identify metabolites and covariates associated with children's weight outcomes (BMI [weight/height2 ], BMI z-score [BMI adjusted for age and sex], and growth index [weight/height]), we analysed the 1 H-NMR data, along with 20 covariates recorded on children and mothers, using LASSO and best subset selection regression techniques. Previously characterized microbiota community information from the same stool samples was used to determine associations between selected gut metabolites and gut microbiota. RESULTS At age 2 years, stool butyrate concentration had a significant positive association with child BMI (p-value = 3.58 × 10-4 ), BMI z-score (p-value = 3.47 × 10-4 ), and growth index (p-value = 7.73 × 10-4 ). Covariates such as maternal smoking during pregnancy are important to consider. Butyrate concentration was positively associated with the abundance of the bacterial genus Faecalibacterium (p-value = 9.61 × 10-3 ). CONCLUSIONS Stool butyrate concentration is positively associated with increased child weight outcomes and should be investigated further as a factor affecting childhood obesity.
Collapse
Affiliation(s)
- Debmalya Nandy
- Department of StatisticsPenn State UniversityUniversity ParkPAUSA,Present address:
Department of Biostatistics and Informatics, Colorado School of Public HealthUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Sarah J. C. Craig
- Department of BiologyPenn State UniversityUniversity ParkPAUSA,Center for Medical GenomicsPenn State UniversityUniversity ParkPAUSA
| | - Jingwei Cai
- Department of Molecular ToxicologyPenn State UniversityUniversity ParkPAUSA,Present address:
Department of Drug Metabolism and PharmacokineticsGenentech Inc.South San FranciscoCaliforniaUSA
| | - Yuan Tian
- Department of Molecular ToxicologyPenn State UniversityUniversity ParkPAUSA
| | - Ian M. Paul
- Center for Medical GenomicsPenn State UniversityUniversity ParkPAUSA,Department of PediatricsPenn State College of MedicineHersheyPAUSA
| | - Jennifer S. Savage
- Department of Nutritional SciencesPenn State UniversityUniversity ParkPAUSA,Center for Childhood Obesity ResearchPenn State UniversityUniversity ParkPAUSA
| | - Michele E. Marini
- Center for Childhood Obesity ResearchPenn State UniversityUniversity ParkPAUSA
| | - Emily E. Hohman
- Center for Childhood Obesity ResearchPenn State UniversityUniversity ParkPAUSA
| | - Matthew L. Reimherr
- Department of StatisticsPenn State UniversityUniversity ParkPAUSA,Center for Medical GenomicsPenn State UniversityUniversity ParkPAUSA
| | - Andrew D. Patterson
- Department of Molecular ToxicologyPenn State UniversityUniversity ParkPAUSA,Department of Biochemistry & Molecular BiologyPenn State UniversityUniversity ParkPAUSA
| | - Kateryna D. Makova
- Department of BiologyPenn State UniversityUniversity ParkPAUSA,Center for Medical GenomicsPenn State UniversityUniversity ParkPAUSA
| | - Francesca Chiaromonte
- Department of StatisticsPenn State UniversityUniversity ParkPAUSA,Center for Medical GenomicsPenn State UniversityUniversity ParkPAUSA,Institute of EconomicsEMbeDS, Sant'Anna School of Advanced StudiesPisaItaly
| |
Collapse
|
30
|
Predicting meat consumption from concurrent, automatic appraisals: Introducing nuance to product appraisals. Appetite 2021; 170:105847. [PMID: 34879246 DOI: 10.1016/j.appet.2021.105847] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 11/26/2021] [Accepted: 12/02/2021] [Indexed: 11/21/2022]
Abstract
Research into the relationship between automatic product appraisals and consumer behaviour has largely been limited to measuring generic product evaluations (i.e., positive vs. negative). Especially in the context of meat consumption, this approach seems inadequate, as conflicting evaluative product dimensions may play a role in the preference for a plant-based vs. a meat-based diet (e.g., sustainability vs. taste vs. healthiness). We discuss the limitations of this approach and provide a novel tool that can measure automatic appraisals of several stimulus dimensions simultaneously. Using this tool, we register automatic appraisals (health, taste, price, sustainability, ethicality) of meat and vegetarian stimuli, and compare automatic and explicit appraisals in relation to a range of outcome measures, including self-reported likelihood of purchase and reducing meat consumption, willingness to pay, self-reported frequency of meat consumption, and Body Mass Index. Our findings suggest that the measured automatic appraisals represent unique constructs and vary in the degree to which they inform behaviour. Further, variation in the prediction of the outcome variables suggests that the appraisals captured by the explicit and automatic measures differed. Demonstrating unique contributions of the individual automatic appraisals has crucial implications for future research to understand behaviour and improve existing models.
Collapse
|
31
|
Angulo E, Stern D, Castellanos-Gutiérrez A, Monge A, Lajous M, Bromage S, Fung TT, Li Y, Bhupathiraju SN, Deitchler M, Willett WC, Batis C. Changes in the Global Diet Quality Score, Weight, and Waist Circumference in Mexican Women. J Nutr 2021; 151:152S-161S. [PMID: 34689194 PMCID: PMC8542099 DOI: 10.1093/jn/nxab171] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 04/28/2021] [Accepted: 05/06/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Evidence on concurrent changes in overall diet quality and weight and waist circumference in women of reproductive age from low- and middle-income countries is limited. OBJECTIVES We examined the associations of changes in the Global Diet Quality Score (GDQS) and each GDQS food group with concurrent weight and waist circumference change in Mexican women. METHODS We followed prospectively 8967 nonpregnant nonlactating women aged 25-49 y in the Mexican Teachers' Cohort between 2006 and 2008. We assessed diet using an FFQ of the previous year and anthropometric measures were self-reported. Regression models were used to examine 2-y changes in the GDQS and each food group (servings/d) with weight and waist circumference changes within the same period, adjusting for demographic and lifestyle factors. RESULTS Compared with those with little change in the GDQS (-2 to 2 points), women with the largest increase in the GDQS (>5 points) had less weight (β: -0.81 kg/2 y; 95% CI: -1.11, -0.51 kg/2 y) and waist circumference gain (β: -1.05 cm/2 y; 95% CI: -1.62, -0.48 cm/2 y); likewise, women with the largest decrease in the GDQS (<-5 points) had more weight (β: 0.36 kg/2 y; 95% CI: 0.06, 0.66 kg/2 y) and waist circumference gain (β: 0.71 cm/2 y; 95% CI: 0.09, 1.32 cm/2 y). Increased intake of dark green leafy vegetables, cruciferous vegetables, deep orange vegetables, citrus fruits, and fish and shellfish was associated with less weight gain. In addition, deep orange vegetables, low fat and high fat dairy, whole grains, and fish were associated with less waist circumference gain within the 2-y period. CONCLUSIONS Improvements in diet quality over a 2-y period reflected by an increase in the GDQS and changes in consumption of specific components of the GDQS were associated with less weight and waist circumference gain in Mexican women.
Collapse
Affiliation(s)
- Erick Angulo
- Health and Nutrition Research Center, National Institute of Public Health, Cuernavaca, Mexico
| | - Dalia Stern
- CONACYT-Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico
| | | | - Adriana Monge
- Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico
| | - Martín Lajous
- Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico
- Department of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Sabri Bromage
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Teresa T Fung
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Yanping Li
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | | | - Megan Deitchler
- Intake-Center for Dietary Assessment, FHI Solutions, Washington, DC, USA
| | - Walter C Willett
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Carolina Batis
- CONACYT-Health and Nutrition Research Center, National Institute of Public Health, Cuernavaca, Mexico
| |
Collapse
|
32
|
Daneshzad E, Askari M, Moradi M, Ghorabi S, Rouzitalab T, Heshmati J, Azadbakht L. Red meat, overweight and obesity: A systematic review and meta-analysis of observational studies. Clin Nutr ESPEN 2021; 45:66-74. [PMID: 34620372 DOI: 10.1016/j.clnesp.2021.07.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 07/15/2021] [Accepted: 07/27/2021] [Indexed: 01/11/2023]
Abstract
AIM The present study aimed to review and perform a meta-analysis summarizing the available evidence on the association between red meat consumption and obesity. METHODS A computerized search strategy was performed up to Feb 9, 2020. PubMed, Scopus, and web of science were used to conduct a comprehensive search for all relevant publications. The quality of the included articles was determined by using the Newcastle-Ottawa Scale. A random-effects model was conducted for analysis of the included cross-sectional studies. In the case of significant heterogeneity, subgroup analyses were conducted to explore possible sources of inter-study heterogeneity. RESULTS In the overall pooled estimate of 3 studies, it was shown that red meat consumption was not associated with overweight (pooled effect size: 1.19, 95% CI: 0.97-1.46, p = 0.099). The results from combining 7 studies showed a non-significant association between red meat intake and obesity (pooled effect size: 1.16, 95% CI: 0.93-1.44, p = 0.199) with significant heterogeneity among studies (I2 = 87.3%, pheterogeneity < 0.0001). CONCLUSION In conclusion, results extend the evidence that red meat consumption was not associated with the risk of overweight as well as no association between total meat consumption and obesity.
Collapse
Affiliation(s)
- Elnaz Daneshzad
- Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Mohammadreza Askari
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Maedeh Moradi
- Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Sima Ghorabi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Tohid Rouzitalab
- Department of Biochemistry and Diet Therapy, Nutrition Research Center, School of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Javad Heshmati
- Songhor Healthcare Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Leila Azadbakht
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran; Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
33
|
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: 8] [Impact Index Per Article: 2.7] [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.
Collapse
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
| |
Collapse
|
34
|
Papier K, Knuppel A, Syam N, Jebb SA, Key TJ. Meat consumption and risk of ischemic heart disease: A systematic review and meta-analysis. Crit Rev Food Sci Nutr 2021; 63:426-437. [PMID: 34284672 DOI: 10.1080/10408398.2021.1949575] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
There is uncertainty regarding the association between unprocessed red and processed meat consumption and the risk of ischemic heart disease (IHD), and little is known regarding the association with poultry intake. The aim of this systematic review and meta-analysis was to quantitatively assess the associations of unprocessed red, processed meat, and poultry intake and risk of IHD in published prospective studies. We systematically searched CAB Abstract, MEDLINE, EMBASE, Web of Science, bioRxiv and medRxiv, and reference lists of selected studies and previous systematic reviews up to June 4, 2021. All prospective cohort studies that assessed associations between 1(+) meat types and IHD risk (incidence and/or death) were selected. The meta-analysis was conducted using fixed-effects models. Thirteen published articles were included (ntotal = 1,427,989; ncases = 32,630). Higher consumption of unprocessed red meat was associated with a 9% (relative risk (RR) per 50 g/day higher intake, 1.09; 95% confidence intervals (CI), 1.06 to 1.12; nstudies = 12) and processed meat intake with an 18% higher risk of IHD (1.18; 95% CI, 1.12 to 1.25; nstudies = 10). There was no association with poultry intake (nstudies = 10). This study provides substantial evidence that unprocessed red and processed meat, though not poultry, might be risk factors for IHD.
Collapse
Affiliation(s)
- Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Anika Knuppel
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Nandana Syam
- Medical Sciences Division, University of Oxford, Oxford, UK
| | - Susan A Jebb
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.,NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Tim J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| |
Collapse
|
35
|
Okumatsu K, Yamauchi H, Kotake R, Gosho M, Nakata Y. Association between Endocrine Therapy and Weight Gain after Breast Cancer Diagnosis among Japanese Patients: A Retrospective Cohort Study. ACTA ACUST UNITED AC 2021; 9:medsci9030050. [PMID: 34287341 PMCID: PMC8293471 DOI: 10.3390/medsci9030050] [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] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 07/07/2021] [Accepted: 07/09/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND This study aimed to investigate the association between endocrine therapy and weight gain with a history of breast cancer. METHODS This was a retrospective cohort study. Recruited patients consisted of those receiving endocrine therapy and those not receiving endocrine therapy. Weight at diagnosis was collected from medical records, and current body mass was measured using a digital scale (time since diagnosis was 4.0 ± 1.9 years). Moreover, we measured current physical activity using an accelerometer and dietary intake using a validated questionnaire. The primary analysis was a t-test for the body-mass change after diagnosis between the two groups. RESULTS We recruited 300 patients and collected data from 292. Mean weight gain after diagnosis was 1.3 ± 3.9 kg, and the change in body mass of patients taking endocrine therapy (1.3 ± 4.0 kg) was not significantly different from that of patients not taking endocrine therapy (1.4 ± 3.8 kg, p = 0.92). There was no association of endocrine therapy, physical activity, and dietary intake with a 5% weight gain after adjusting confounding factors (e.g., breast cancer stage and chemotherapy). CONCLUSIONS Caution is required with generalization because of sampling bias and ethnic differences.
Collapse
Affiliation(s)
- Koki Okumatsu
- Graduate School of Comprehensive Human Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8577, Japan;
| | - Hideko Yamauchi
- Department of Breast Surgical Oncology, St. Luke’s International Hospital, 9-1 Akashicho, Chuo-ku, Tokyo 104-8560, Japan; (H.Y.); (R.K.)
| | - Rina Kotake
- Department of Breast Surgical Oncology, St. Luke’s International Hospital, 9-1 Akashicho, Chuo-ku, Tokyo 104-8560, Japan; (H.Y.); (R.K.)
| | - Masahiko Gosho
- Department of Biostatistics, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8575, Japan;
| | - Yoshio Nakata
- Faculty of Health and Sport Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8577, Japan
- Correspondence: ; Tel.: +81-29-853-3957
| |
Collapse
|
36
|
Asoudeh F, Jayedi A, Kavian Z, Ebrahimi-Mousavi S, Nielsen SM, Mohammadi H. A systematic review and meta-analysis of observational studies on the association between animal protein sources and risk of rheumatoid arthritis. Clin Nutr 2021; 40:4644-4652. [PMID: 34237693 DOI: 10.1016/j.clnu.2021.05.026] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 05/21/2021] [Accepted: 05/28/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The aim of this study was to investigate the linear and nonlinear dose-response associations of animal-based dietary protein intake and risk of developing rheumatoid arthritis (RA). METHODS A systematic search of MEDLINE, Scopus and Embase was conducted up to October 2020. Observational studies that report risk estimates of RA for animal-based protein consumption were included. We calculated pooled relative risks (RRs) by using a random-effects model. Linear and non-linear dose-response analyses were performed to examine the dose-response relations between animal-based protein consumption and RA. RESULTS Seven cohort studies (n = 457,554) with 3545 incident cases and six case-control studies with 3994 cases and 5252 controls were identified. Highest compared with the lowest category of fish consumption was inversely associated with risk of RA (RR: 0.89; 95% CI, 0.80 to 0.99; I2 = 0%, n = 10). Also, a 100 g/day increment in fish intake was associated with a 15% decreased risk of RA. Dose-response analysis showed a modest U-shaped association between fish consumption and incidence of RA, with the lowest risk at a fish intake of 20-30 g/day (Pnon-linearity = 0.04). We found no significant association between consumption of red meat, poultry or dairy and the risk of RA. CONCLUSION The present study revealed a significant reverse association between fish consumption and risk of RA. While we observed no association between red meat, dairy or poultry consumption and risk of RA. Further well-designed prospective studies are needed to support our findings.
Collapse
Affiliation(s)
- Farzaneh Asoudeh
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Jayedi
- Food Safety Research Center (salt), Semnan University of Medical Sciences, Semnan, Iran
| | - Zahra Kavian
- Department of Nutrition, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Sara Ebrahimi-Mousavi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Sabrina Mai Nielsen
- Musculoskeletal Statistics Unit, The Parker Institute, Bispebjerg and Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark; Research Unit of Rheumatology, Department of Clinical Research, University of Southern Denmark, Odense University Hospital, Odense, Denmark
| | - Hamed Mohammadi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
37
|
Good M, Braun AC, Taylor CA, Spees CK. US Adults Fall Short of the Dietary Guidelines for Cancer Prevention Regardless of BMI Category. J Acad Nutr Diet 2021; 122:1737-1743. [PMID: 33810995 DOI: 10.1016/j.jand.2021.02.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 12/12/2020] [Accepted: 02/09/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Cancer risk is determined by specific factors, including body weight and dietary patterns. Accordingly, the World Cancer Research Fund/American Institute for Cancer Research published updated cancer prevention recommendations in 2018 based on comprehensive reviews of modifiable behaviors associated with cancer risk. OBJECTIVE The objective of this study was to determine the extent to which US adults meet these evidence-based recommendations and how adherence differs by weight status. DESIGN This was a cross-sectional study using nationally representative data from the 2005-2016 National Health and Nutrition Examination Survey (NHANES). PARTICIPANTS/SETTING Dietary intake data for 30,888 adults 18 years and older with normal body mass index (BMI), overweight, or obesity were analyzed. MAIN OUTCOME MEASURES Differences in dietary intakes and the proportion of adults meeting guidelines were compared across BMI categories. STATISTICAL ANALYSES PERFORMED Logistic regression and 1-way analysis of covariance were used to analyze differences in adherence to recommendations, controlling for age, sex, race/ethnicity, and family income as a percent of the federal poverty rate. RESULTS Regarding fruit and nonstarchy vegetables, 62.8% of adults with normal BMI, 64.5% with overweight, and 70.1% with obesity fell short of recommendations. Regarding whole grains, 67.9% of adults with normal BMI, 70.2% with overweight, and 73.1% with obesity did not meet the recommendation. Regarding red meat, 36.7% of adults with normal BMI, 41.6% with overweight, and 43.5% with obesity consumed >18 oz/week, with a significant difference in mean intakes between adults with normal BMI and obesity (P < .001). Adults with obesity consumed significantly less dietary fiber and more processed meat than adults with normal BMI and overweight (P < 0.001). CONCLUSIONS Few U.S. adults meet cancer prevention recommendations; adults with obesity are significantly less likely to do so. Future research should evaluate compounded risk resulting from obesity and poor dietary patterns inconsistent with current evidence-based guidelines, and inform targeted interventions to address these issues.
Collapse
|
38
|
Papier K, Fensom GK, Knuppel A, Appleby PN, Tong TYN, Schmidt JA, Travis RC, Key TJ, Perez-Cornago A. Meat consumption and risk of 25 common conditions: outcome-wide analyses in 475,000 men and women in the UK Biobank study. BMC Med 2021; 19:53. [PMID: 33648505 PMCID: PMC7923515 DOI: 10.1186/s12916-021-01922-9] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 01/20/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND There is limited prospective evidence on the association between meat consumption and many common, non-cancerous health outcomes. We examined associations of meat intake with risk of 25 common conditions (other than cancer). METHODS We used data from 474,985 middle-aged adults recruited into the UK Biobank study between 2006 and 2010 and followed up until 2017 (mean follow-up 8.0 years) with available information on meat intake at baseline (collected via touchscreen questionnaire), and linked hospital admissions and mortality data. For a large sub-sample (~ 69,000), dietary intakes were re-measured three or more times using an online, 24-h recall questionnaire. RESULTS On average, participants who reported consuming meat regularly (three or more times per week) had more adverse health behaviours and characteristics than participants who consumed meat less regularly, and most of the positive associations observed for meat consumption and health risks were substantially attenuated after adjustment for body mass index (BMI). In multi-variable adjusted (including BMI) Cox regression models corrected for multiple testing, higher consumption of unprocessed red and processed meat combined was associated with higher risks of ischaemic heart disease (hazard ratio (HRs) per 70 g/day higher intake 1.15, 95% confidence intervals (CIs) 1.07-1.23), pneumonia (1.31, 1.18-1.44), diverticular disease (1.19, 1.11-1.28), colon polyps (1.10, 1.06-1.15), and diabetes (1.30, 1.20-1.42); results were similar for unprocessed red meat and processed meat intakes separately. Higher consumption of unprocessed red meat alone was associated with a lower risk of iron deficiency anaemia (IDA: HR per 50 g/day higher intake 0.80, 95% CIs 0.72-0.90). Higher poultry meat intake was associated with higher risks of gastro-oesophageal reflux disease (HR per 30 g/day higher intake 1.17, 95% CIs 1.09-1.26), gastritis and duodenitis (1.12, 1.05-1.18), diverticular disease (1.10, 1.04-1.17), gallbladder disease (1.11, 1.04-1.19), and diabetes (1.14, 1.07-1.21), and a lower IDA risk (0.83, 0.76-0.90). CONCLUSIONS Higher unprocessed red meat, processed meat, and poultry meat consumption was associated with higher risks of several common conditions; higher BMI accounted for a substantial proportion of these increased risks suggesting that residual confounding or mediation by adiposity might account for some of these remaining associations. Higher unprocessed red meat and poultry meat consumption was associated with lower IDA risk.
Collapse
Affiliation(s)
- Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK.
| | - Georgina K Fensom
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
- Department of International Development, University of Oxford, 3 Mansfield Rd, Oxford, OX1 3TB, UK
| | - Anika Knuppel
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Paul N Appleby
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK
| |
Collapse
|
39
|
Treich N. Cultured Meat: Promises and Challenges. ENVIRONMENTAL & RESOURCE ECONOMICS 2021; 79:33-61. [PMID: 33758465 PMCID: PMC7977488 DOI: 10.1007/s10640-021-00551-3] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/08/2021] [Indexed: 05/19/2023]
Abstract
Cultured meat involves producing meat from animal cells, not from slaughtered animals. This innovation has the potential to revolutionize the meat industry, with wide implications for the environment, health and animal welfare. The main purpose of this paper is to stimulate some economic research on cultured meat. In particular, this paper includes a prospective discussion on the demand and supply of cultured meat. It also discusses some early results on the environmental impacts of cultured meat, emphasizing the promises (e.g., regarding the reduction in land use) but also the uncertainties. It then argues that cultured meat is a moral improvement compared to conventional meat. Finally, it discusses some regulatory issues, and the need for more public support to the innovation.
Collapse
Affiliation(s)
- Nicolas Treich
- Toulouse School of Economics, INRAE, University Toulouse Capitole, Toulouse, France
| |
Collapse
|
40
|
Vasbinder A, Tinker LF, Neuhouser ML, Pettinger M, Hale L, Di C, Zaslavsky O, Hayman LL, Lin X, Eaton C, Wang D, Scherman A, Stefanick ML, Barrington WE, Reding KW. Risk of metabolic syndrome and metabolic phenotypes in relation to biomarker-calibrated estimates of energy and protein intakes: an investigation from the Women's Health Initiative. Am J Clin Nutr 2020; 113:706-715. [PMID: 33381804 PMCID: PMC7948844 DOI: 10.1093/ajcn/nqaa334] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 10/22/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) is associated with increased mortality independent of BMI, resulting in discordant metabolic phenotypes, such as metabolically healthy obese and metabolically unhealthy normal-weight individuals. Studies investigating dietary intake in MetS have reported mixed results, due in part to the limitations of self-reported measures. OBJECTIVES To investigate the role of biomarker-calibrated estimates of energy and protein in MetS and metabolic phenotypes. METHODS Postmenopausal participants from the Women's Health Initiative (WHI) study who were free of MetS at baseline, had available data from FFQs at baseline, and had components of MetS at Year 3 (n = 3963) were included. Dietary energy and protein intakes were estimated using biomarker calibration methods. MetS was defined as 3 or more of the following: elevated serum triglycerides (≥150 mg/dL), low HDL cholesterol (<50 mg/dL), hypertension [systolic blood pressure (BP) ≥130 or diastolic BP ≥85 mmHg], elevated serum glucose (>100 mg/dL), and abdominal adiposity (waist circumference > 89 cm). Models were adjusted for age, WHI study component, race/ethnicity, education, income, smoking, recreational physical activity, disease history, and parity. RESULTS For every 10% increment in total calibrated energy intake, women were at a 1.37-fold elevated risk of MetS (95% CI, 1.15-1.63); a 10% increment in calibrated total protein intake was associated with a 1.21-fold elevated risk of MetS (95% CI, 1.00-1.47). Specifically, animal protein intake was associated with MetS (OR, 1.08; 95% CI, 1.02-1.14), whereas vegetable protein intake was not (OR, 0.99; 95% CI, 0.95-1.03). No differences were seen when examining metabolic phenotypes. CONCLUSIONS We found that higher calibrated total energy, total protein, and total animal protein intakes were strongly associated with MetS. If replicated in clinical trials, these results will have implications for the promotion of energy and animal protein restrictions for the reduction of MetS risks.
Collapse
Affiliation(s)
- Alexi Vasbinder
- Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, WA, USA
| | - Lesley F Tinker
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Marian L Neuhouser
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Mary Pettinger
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lauren Hale
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Chongzhi Di
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Oleg Zaslavsky
- Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, WA, USA
| | - Laura L Hayman
- Department of Nursing, University of Massachusetts Boston, Boston, MA, USA,Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Boston, MA, USA
| | - Xioachen Lin
- Department of Epidemiology, Center for Global Cardiometabolic Health, Brown University, Providence, RI, USA
| | - Charles Eaton
- Department of Family Medicine and Epidemiology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Di Wang
- Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, WA, USA
| | - Ashley Scherman
- Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, WA, USA
| | - Marcia L Stefanick
- Department of Medicine, Stanford Prevention Research Center, Stanford, CA, USA
| | - Wendy E Barrington
- Child, Family, Population Health Nursing, University of Washington School of Nursing, Seattle, WA, USA
| | | |
Collapse
|
41
|
Pulses for Healthy and Sustainable Food Systems: The Effect of Origin on Market Price. SUSTAINABILITY 2020. [DOI: 10.3390/su13010185] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Pulses are widely acknowledged for their high nutritional value due to high protein content, low content in calories, and low glycemic index; they are a good alternative to animal proteins thus offering a considerable number of social, environmental, and health benefits. Despite pulses being widely acknowledged as healthy and sustainable food, in mainly European countries, consumption is growing but still lower than the recommended level, production is unprofitable in comparison to the current market prices level, and a reduction in harvested area has led to a strong dependence on import for pulses supply. Pulses are particularly fitting to the feature of local food because they can be suitably grown in any context, even in the most complex areas, and consumer interest and awareness of food origin has strongly increased in recent years. Lentils were selected as a case study in this paper that aims to define which features are effective on market price and, in particular, the role of origin declaration on label plays in defining the market price and how the origin attributes may enhance market price and farms competitiveness. The methodological tool for this investigation is the hedonic price model, useful to explain the effects of attributes of pulses affecting the market price. Results contribute to a better understanding of the pulse market, emphasizing that the “origin declaration” on label may have a positive effect on market price.
Collapse
|
42
|
Nutrient Patterns and Body Composition Parameters of Black South African Women. Nutrients 2020; 13:nu13010006. [PMID: 33375014 PMCID: PMC7822018 DOI: 10.3390/nu13010006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 12/12/2020] [Accepted: 12/16/2020] [Indexed: 02/05/2023] Open
Abstract
Obesity is more prevalent in black South African women than men. However, little is known about the nutrient patterns associated with body composition indices in black African women. Principle Component Analysis (PCA) was applied to 25 nutrients derived from quantified food frequency questionnaires (QFFQs) in 498 middle aged black South African women. Three nutrient patterns, the plant driven, animal driven and Vitamin C, sugar and potassium driven nutrient patterns, accounted for 59% of the variance of nutrient intake. Linear models of the body composition parameters as outcome variables indicated that a standard deviation increase in the animal driven nutrient pattern was significantly associated with increases in body mass index (BMI) (1.29 kg·m−2 (95% CI, 0.54–2.04; p = 0.001), subcutaneous adipose tissue (SAT) (26.30 cm2 (7.97–44.63); p = 0.005), visceral adipose tissue (VAT) (9.88 cm2 (5.13–14.63); p < 0.001), VAT/SAT ratio (0.01 (0.00–0.02); p = 0.018), whole body fat mass index (0.74 kg·m−2 (0.25–1.22); p = 0.003), and whole body lean mass index (0.53 kg·m−2 (0.23–0.83); p = 0.001). An increase in plant driven nutrient pattern was significantly associated with an increase in SAT of 20.45 cm2 (0.47–40.43); p = 0.045. This study demonstrates that animal driven nutrient pattern, characterised by the consumption of more animal protein and fat nutrients, similar to the western diet is associated with increased body fat and lean mass.
Collapse
|
43
|
Ibsen DB, Steur M, Imamura F, Overvad K, Schulze MB, Bendinelli B, Guevara M, Agudo A, Amiano P, Aune D, Barricarte A, Ericson U, Fagherazzi G, Franks PW, Freisling H, Quiros JR, Grioni S, Heath AK, Huybrechts I, Katze V, Laouali N, Mancini F, Masala G, Olsen A, Papier K, Ramne S, Rolandsson O, Sacerdote C, Sánchez MJ, Santiuste C, Simeon V, Spijkerman AMW, Srour B, Tjønneland A, Tong TYN, Tumino R, van der Schouw YT, Weiderpass E, Wittenbecher C, Sharp SJ, Riboli E, Forouhi NG, Wareham NJ. Replacement of Red and Processed Meat With Other Food Sources of Protein and the Risk of Type 2 Diabetes in European Populations: The EPIC-InterAct Study. Diabetes Care 2020; 43:2660-2667. [PMID: 32868270 PMCID: PMC7576430 DOI: 10.2337/dc20-1038] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 07/24/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE There is sparse evidence for the association of suitable food substitutions for red and processed meat on the risk of type 2 diabetes. We modeled the association between replacing red and processed meat with other protein sources and the risk of type 2 diabetes and estimated its population impact. RESEARCH DESIGN AND METHODS The European Prospective Investigation into Cancer (EPIC)-InterAct case cohort included 11,741 individuals with type 2 diabetes and a subcohort of 15,450 participants in eight countries. We modeled the replacement of self-reported red and processed meat with poultry, fish, eggs, legumes, cheese, cereals, yogurt, milk, and nuts. Country-specific hazard ratios (HRs) for incident type 2 diabetes were estimated by Prentice-weighted Cox regression and pooled using random-effects meta-analysis. RESULTS There was a lower hazard for type 2 diabetes for the modeled replacement of red and processed meat (50 g/day) with cheese (HR 0.90, 95% CI 0.83-0.97) (30 g/day), yogurt (0.90, 0.86-0.95) (70 g/day), nuts (0.90, 0.84-0.96) (10 g/day), or cereals (0.92, 0.88-0.96) (30 g/day) but not for replacements with poultry, fish, eggs, legumes, or milk. If a causal association is assumed, replacing red and processed meat with cheese, yogurt, or nuts could prevent 8.8%, 8.3%, or 7.5%, respectively, of new cases of type 2 diabetes. CONCLUSIONS Replacement of red and processed meat with cheese, yogurt, nuts, or cereals was associated with a lower rate of type 2 diabetes. Substituting red and processed meat by other protein sources may contribute to the prevention of incident type 2 diabetes in European populations.
Collapse
Affiliation(s)
- Daniel B Ibsen
- Research Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Marinka Steur
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Kim Overvad
- Research Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | - Benedetta Bendinelli
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Marcela Guevara
- Navarre Public Health Institute, Pamplona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO), and Nutrition and Cancer Group, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Pilar Amiano
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, San Sebastian, Spain
- Instituto Biodonostia, Basque Government, San Sebastian, Spain
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital Ullevål, Oslo, Norway
| | | | - Ulrika Ericson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Guy Fagherazzi
- Digital Epidemiology and e-Health Research Hub, Department of Population Health, Luxembourg Institute of Health, Luxembourg
- Center of Epidemiology and Population Health, UMR 1018, INSERM, Paris South-Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | | | - Heinz Freisling
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | | | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Inge Huybrechts
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Verena Katze
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nasser Laouali
- Center of Epidemiology and Population Health, UMR 1018, INSERM, Paris South-Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | - Francesca Mancini
- Center of Epidemiology and Population Health, UMR 1018, INSERM, Paris South-Paris Saclay University, Gustave Roussy Institute, Villejuif, France
| | - Giovanna Masala
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Anja Olsen
- Research Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, U.K
| | - Stina Ramne
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Olov Rolandsson
- Family Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino and Center for Cancer Prevention (CPO), Turin, Italy
| | - Maria-José Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Escuela Andaluza de Salud Pública, Granada, Spain
- Instituto de Investigación Biosanitaria ibs. Granada, Granada, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Carmen Santiuste
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Authority, IMIB-Arrixaca, Murcia, Spain
| | - Vittorio Simeon
- Department of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, Naples, Italy
| | | | - Bernard Srour
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, U.K
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Azienda Sanitaria Provinciale, Ragusa, Italy
- Associazone Iblea per la Ricerca Epidemiologica - Organizazione Non Lucrativa di Utilità Sociale (AIRE-ONLUS), Ragusa, Italy
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K.
| | - Nick J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| |
Collapse
|
44
|
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: 32] [Impact Index Per Article: 8.0] [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.
Collapse
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.
| |
Collapse
|
45
|
Niewiadomska K, Kosicka-Gębska M, Gębski J, Gutkowska K, Jeżewska-Zychowicz M, Sułek M. Game Meat Consumption-Conscious Choice or Just a Game? Foods 2020; 9:foods9101357. [PMID: 32987949 PMCID: PMC7601238 DOI: 10.3390/foods9101357] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 09/18/2020] [Accepted: 09/20/2020] [Indexed: 12/19/2022] Open
Abstract
Game meat is constantly present on the European meat market, but a limited number of consumers are interested in its consumption. Considering the unique features of wild animal meat, we should explore what pushes consumers to include it in their diet. To identify the motives determining the choice of game meat, a quantitative survey based on the computer-assisted telephone interview (CATI) method was conducted among 450 participants. The statistical analysis based on the logistic regression model allowed us to assess the significance of emotional motives leading to game eating and to investigate the importance of the rational motives related to the quality attributes of game for consumers. It was shown that rational motives influence the consumers’ choice more than emotional factors, while the most important motives are connected with healthcare issues. Consumers, for whom the crucial attributes of quality are taste, nutritional value, and low fat content, constitute a group that might more often include game in their diet in the future. Among the emotional motives, the familiarity, described as a feeling of knowing the product, also has a statistically significant impact on the consumers’ choice. The results obtained may be useful for academic theoreticians and market experts as well.
Collapse
|
46
|
Deschasaux M, Huybrechts I, Julia C, Hercberg S, Egnell M, Srour B, Kesse-Guyot E, Latino-Martel P, Biessy C, Casagrande C, Murphy N, Jenab M, Ward HA, Weiderpass E, Overvad K, Tjønneland A, Rostgaard-Hansen AL, Boutron-Ruault MC, Mancini FR, Mahamat-Saleh Y, Kühn T, Katzke V, Bergmann MM, Schulze MB, Trichopoulou A, Karakatsani A, Peppa E, Masala G, Agnoli C, De Magistris MS, Tumino R, Sacerdote C, Boer JM, Verschuren WM, van der Schouw YT, Skeie G, Braaten T, Redondo ML, Agudo A, Petrova D, Colorado-Yohar SM, Barricarte A, Amiano P, Sonestedt E, Ericson U, Otten J, Sundström B, Wareham NJ, Forouhi NG, Vineis P, Tsilidis KK, Knuppel A, Papier K, Ferrari P, Riboli E, Gunter MJ, Touvier M. Association between nutritional profiles of foods underlying Nutri-Score front-of-pack labels and mortality: EPIC cohort study in 10 European countries. BMJ 2020; 370:m3173. [PMID: 32938660 PMCID: PMC7491938 DOI: 10.1136/bmj.m3173] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/03/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To determine if the Food Standards Agency nutrient profiling system (FSAm-NPS), which grades the nutritional quality of food products and is used to derive the Nutri-Score front-of-packet label to guide consumers towards healthier food choices, is associated with mortality. DESIGN Population based cohort study. SETTING European Prospective Investigation into Cancer and Nutrition (EPIC) cohort from 23 centres in 10 European countries. PARTICIPANTS 521 324 adults; at recruitment, country specific and validated dietary questionnaires were used to assess their usual dietary intakes. A FSAm-NPS score was calculated for each food item per 100 g content of energy, sugars, saturated fatty acids, sodium, fibre, and protein, and of fruit, vegetables, legumes, and nuts. The FSAm-NPS dietary index was calculated for each participant as an energy weighted mean of the FSAm-NPS score of all foods consumed. The higher the score the lower the overall nutritional quality of the diet. MAIN OUTCOME MEASURE Associations between the FSAm-NPS dietary index score and mortality, assessed using multivariable adjusted Cox proportional hazards regression models. RESULTS After exclusions, 501 594 adults (median follow-up 17.2 years, 8 162 730 person years) were included in the analyses. Those with a higher FSAm-NPS dietary index score (highest versus lowest fifth) showed an increased risk of all cause mortality (n=53 112 events from non-external causes; hazard ratio 1.07, 95% confidence interval 1.03 to 1.10, P<0.001 for trend) and mortality from cancer (1.08, 1.03 to 1.13, P<0.001 for trend) and diseases of the circulatory (1.04, 0.98 to 1.11, P=0.06 for trend), respiratory (1.39, 1.22 to 1.59, P<0.001), and digestive (1.22, 1.02 to 1.45, P=0.03 for trend) systems. The age standardised absolute rates for all cause mortality per 10 000 persons over 10 years were 760 (men=1237; women=563) for those in the highest fifth of the FSAm-NPS dietary index score and 661 (men=1008; women=518) for those in the lowest fifth. CONCLUSIONS In this large multinational European cohort, consuming foods with a higher FSAm-NPS score (lower nutritional quality) was associated with a higher mortality for all causes and for cancer and diseases of the circulatory, respiratory, and digestive systems, supporting the relevance of FSAm-NPS to characterise healthier food choices in the context of public health policies (eg, the Nutri-Score) for European populations. This is important considering ongoing discussions about the potential implementation of a unique nutrition labelling system at the European Union level.
Collapse
Affiliation(s)
- Mélanie Deschasaux
- Sorbonne Paris Nord University, Inserm, Inrae, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre - University of Paris (CRESS), Bobigny, France
- French network for Nutrition And Cancer Research (NACRe network), France
| | - Inge Huybrechts
- French network for Nutrition And Cancer Research (NACRe network), France
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Chantal Julia
- Sorbonne Paris Nord University, Inserm, Inrae, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre - University of Paris (CRESS), Bobigny, France
- Department of Public Health, Hôpitaux Universitaires Paris Seine-Saint-Denis (AP-HP), Bobigny, France
| | - Serge Hercberg
- Sorbonne Paris Nord University, Inserm, Inrae, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre - University of Paris (CRESS), Bobigny, France
- French network for Nutrition And Cancer Research (NACRe network), France
- Department of Public Health, Hôpitaux Universitaires Paris Seine-Saint-Denis (AP-HP), Bobigny, France
| | - Manon Egnell
- Sorbonne Paris Nord University, Inserm, Inrae, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre - University of Paris (CRESS), Bobigny, France
| | - Bernard Srour
- Sorbonne Paris Nord University, Inserm, Inrae, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre - University of Paris (CRESS), Bobigny, France
- French network for Nutrition And Cancer Research (NACRe network), France
| | - Emmanuelle Kesse-Guyot
- Sorbonne Paris Nord University, Inserm, Inrae, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre - University of Paris (CRESS), Bobigny, France
- French network for Nutrition And Cancer Research (NACRe network), France
| | - Paule Latino-Martel
- Sorbonne Paris Nord University, Inserm, Inrae, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre - University of Paris (CRESS), Bobigny, France
- French network for Nutrition And Cancer Research (NACRe network), France
| | - Carine Biessy
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Corinne Casagrande
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Neil Murphy
- French network for Nutrition And Cancer Research (NACRe network), France
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Mazda Jenab
- French network for Nutrition And Cancer Research (NACRe network), France
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Heather A Ward
- Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus C, Denmark
| | - Anne Tjønneland
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Danish Cancer Society Research Centre, Diet, Genes and Environment, Copenhagen, Denmark
| | | | | | - Francesca Romana Mancini
- CESP, INSERM U1018, Université Paris-Sud, UVSQ, Université Paris-Saclay, Paris, France
- Gustave Roussy, Villejuif, France
| | - Yahya Mahamat-Saleh
- CESP, INSERM U1018, Université Paris-Sud, UVSQ, Université Paris-Saclay, Paris, France
- Gustave Roussy, Villejuif, France
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Manuela M Bergmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutrition Science, University of Potsdam, Nuthetal, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutrition Science, University of Potsdam, Nuthetal, Germany
| | | | - Anna Karakatsani
- Hellenic Health Foundation, Athens, Greece
- 2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, Attikon University Hospital, Haidari, Greece
| | | | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Rosario Tumino
- Cancer Registry and Histopathology Department, Provincial Health Authority ASP Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Centre for Cancer Prevention (CPO), Turin, Italy
| | - Jolanda Ma Boer
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Wm Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
| | - Yvonne T van der Schouw
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tonje Braaten
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | | | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology - ICO, Group of Research on Nutrition and Cancer, Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet of Llobregat, Barcelona, Spain
| | - Dafina Petrova
- Andalusian School of Public Health (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Spain
| | - Sandra M Colorado-Yohar
- CIBER of Epidemiology and Public Health (CIBERESP), Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Aurelio Barricarte
- CIBER of Epidemiology and Public Health (CIBERESP), Spain
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Pilar Amiano
- CIBER of Epidemiology and Public Health (CIBERESP), Spain
- Public Health Division of Gipuzkoa, Biodonostia Health Research Institute, Ministry of Health of the Basque Government, San Sebastian, Spain
| | - Emily Sonestedt
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Ulrika Ericson
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Julia Otten
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Björn Sundström
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK
| | - Paolo Vineis
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Konstantinos 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, Ioannina, Greece
| | - Anika Knuppel
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Pietro Ferrari
- French network for Nutrition And Cancer Research (NACRe network), France
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Elio Riboli
- Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Marc J Gunter
- French network for Nutrition And Cancer Research (NACRe network), France
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, Inserm, Inrae, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre - University of Paris (CRESS), Bobigny, France
- French network for Nutrition And Cancer Research (NACRe network), France
| |
Collapse
|
47
|
Greger M. A Whole Food Plant-Based Diet Is Effective for Weight Loss: The Evidence. Am J Lifestyle Med 2020; 14:500-510. [PMID: 32922235 PMCID: PMC7444011 DOI: 10.1177/1559827620912400] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
What does the best available balance of scientific evidence show is the optimum way to lose weight? Calorie density, water content, protein source, and other components significantly influence the effectiveness of different dietary regimes for weight loss. By "walling off your calories," preferentially deriving your macronutrients from structurally intact plant foods, some calories remain trapped within indigestible cell walls, which then blunts the glycemic impact, activates the ileal brake, and delivers prebiotics to the gut microbiome. This may help explain why the current evidence indicates that a whole food, plant-based diet achieves greater weight loss compared with other dietary interventions that do not restrict calories or mandate exercise. So, the most effective diet for weight loss appears to be the only diet shown to reverse heart disease in the majority of patients. Plant-based diets have also been found to help treat, arrest, and reverse other leading chronic diseases such as type 2 diabetes and hypertension, whereas low-carbohydrate diets have been found to impair artery function and worsen heart disease, the leading killer of men and women in the United States. A diet centered on whole plant foods appears to be a safe, simple, sustainable solution to the obesity epidemic.
Collapse
|
48
|
Clapham AR, Root MM, Ekker-Runde C. Body mass index mediates the association between meat intake and insulin sensitivity. Nutr Res 2020; 80:28-35. [PMID: 32679433 DOI: 10.1016/j.nutres.2020.06.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 05/19/2020] [Accepted: 06/05/2020] [Indexed: 10/24/2022]
Abstract
The purpose of this study was to examine the possible inverse relationship between total meat intake and processed meat intake and insulin sensitivity as mediated by body mass index (BMI). The Quantitative Insulin Sensitivity Check Index (QUICKI) was used to assess participants' insulin sensitivity: decreased insulin sensitivity indicated at a score of <0.36. Cross-sectional data were used from Visit 1 of the Atherosclerosis Risk in Communities (ARIC) cohort. Mediation analysis was conducted using the PROCESS macro for SPSS. The mean BMI was 27.3 ± 5.0 kg/m2, total meat intake was 1.76 ± 0.89 servings per day, processed meat intake was 0.44 ± 0.46 servings per day, and the mean QUICKI score was 0.34 ± 0.039. This suggested decreased insulin sensitivity was prevalent in this population. As hypothesized and previously shown, both total meat intake and processed meat were inversely and significantly associated with insulin sensitivity after adjusting for key covariates including BMI. In mediation analysis, the significant inverse direct association model between total meat and QUICKI was -0.0017 (95% CI: -0.0026, -0.0008). BMI had a significant indirect association with QUICKI of -0.0028 (95% CI: -0.0033, -0.0023) which accounted for 62% of the association between total meat intake and insulin sensitivity. In the processed meat intake and QUICKI mediation model, BMI accounted for a significant 43% of the relationship. Our results suggest that the association between total meat and processed meat intake and insulin sensitivity is mediated by BMI.
Collapse
Affiliation(s)
- Abigale R Clapham
- Department of Nutrition and Health Care Management, Appalachian State University, 1179 State Farm Road, Boone, NC 28607, USA.
| | - Martin M Root
- Department of Nutrition and Health Care Management, Appalachian State University, 1179 State Farm Road, Boone, NC 28607, USA.
| | - Camilla Ekker-Runde
- Department of Nutrition and Health Care Management, Appalachian State University, 1179 State Farm Road, Boone, NC 28607, USA.
| |
Collapse
|
49
|
Koga F, Kitagami S, Izumi A, Uemura T, Takayama O, Koga T, Mizoguchi T. Relationship between nutrition and reproduction. Reprod Med Biol 2020; 19:254-264. [PMID: 32684824 PMCID: PMC7360971 DOI: 10.1002/rmb2.12332] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 05/16/2020] [Accepted: 05/21/2020] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Recently, the relationship between nutrition and reproduction is being studied. In particular, when older women receive reproductive treatment, egg aging causes greater problems than organic factors. METHODS This study investigated the relationship between nutrition and reproduction with a focus on factors that cause aging, including oxidation, glycation, and chronic inflammation. A large volume of data concerning each nutrient's relationship with reproductive medicine was collected from a number of observational studies. MAIN FINDINGS The results showed that refined carbohydrates should be avoided and care should be taken to achieve proper intake of omega-3 fatty acids. Folic acid and vitamin D were also effective. For men, antioxidant measures are especially effective. The effects of antioxidants are related to insulin resistance, which causes chronic inflammation. CONCLUSION Recent research has shown that rather than meal content, meal intervals are more important for improving insulin resistance. Future research should examine lifestyle-related nutrition factors and their relationships to reproductive treatment.
Collapse
|
50
|
Ayenigbara IO. The Accumulation of Visceral Fat and Preventive Measures among the Elderly. CARDIOVASCULAR INNOVATIONS AND APPLICATIONS 2020. [DOI: 10.15212/cvia.2019.0573] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Visceral fat is a specific fat that is produced in the body, transformed into cholesterol, and circulated in the blood to other parts of the body. The circulated cholesterol usually in the form of low-density lipoproteins forms plaque on the walls of the arteries, thereby constricting
and blocking them and preventing the free flow of nutrients to various vital organs in the body. Visceral fat is deleterious to the health of elderly people because it is mostly found in the region of the abdomen that houses vital organs such as the pancreas, liver, and digestive tract, and
it further affects the normal functioning of hormones in the body. Globally, 15 million people die of a noncommunicable disease (NCD) annually between the age of 30 years and the age of 69 years, and there is an increase in NCD morbidity among people older than 70 years. Accumulated visceral
fat in elderly people could have deleterious health consequences, as it is a predisposing factor for many other NCDs and chronic health conditions. Sedentary lifestyle, unhealthy eating, stress, and inactivity are the major causes of excessive visceral fat. However, measures to prevent the
accumulation of visceral fat are straightforward, and impressive results are achieved with regular physical exercise, healthy diet choices, and proper stress management.
Collapse
|