World Health Organization. Diabetes [Internet]. 2020. Available from: https://www.who.int/news-room/fact-sheets/detail/diabetes. Cited 2 Feb 2021.
Cho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, Ohlrogge AW, et al. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018;138:271–81 Elsevier.
Article
CAS
Google Scholar
World Health Organization. WHO reveals leading causes of death and disability worldwide: 2000-2019 [Internet]. 2020. Available from: https://www.who.int/news/item/09-12-2020-who-reveals-leading-causes-of-death-and-disability-worldwide-2000-2019. Cited 2 Feb 2021.
Schwingshackl L, Hoffmann G, Lampousi A-M, Knüppel S, Iqbal K, Schwedhelm C, et al. Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies. Eur J Epidemiol Springer. 2017;32:363–75.
Article
Google Scholar
Rezg R, Mornagui B, El-Fazaa S, Gharbi N. Organophosphorus pesticides as food chain contaminants and type 2 diabetes: a review. Trends Food Sci Technol. 2010;21:345–57.
Article
CAS
Google Scholar
Longnecker M, Daniels J. Environmental contaminants as etiologic factors for diabetes. Environ Health Perspect. 2001;109:871–6.
Google Scholar
Lind PM, Lind L. Endocrine-disrupting chemicals and risk of diabetes: an evidence-based review. Diabetologia. 2018;61:1495–502.
Article
CAS
Google Scholar
Han X, Zhang F, Meng L, Xu Y, Li Y, Li A, et al. Exposure to organochlorine pesticides and the risk of type 2 diabetes in the population of East China. Ecotoxicol Environ Saf. 2020;190:110125.
Article
CAS
Google Scholar
Evangelou E, Ntritsos G, Chondrogiorgi M, Kavvoura FK, Hernández AF, Ntzani EE, et al. Exposure to pesticides and diabetes: A systematic review and meta-analysis. Environ Int. 2016;91:60–8.
Article
CAS
Google Scholar
Juntarawijit C, Juntarawijit Y. Association between diabetes and pesticides: a case-control study among Thai farmers. Environ Health Prev Med. 2018;23:3.
Article
CAS
Google Scholar
Jaacks LM, Staimez LR. Association of persistent organic pollutants and non-persistent pesticides with diabetes and diabetes-related health outcomes in Asia: A systematic review. Environ Int. 2015;76:57–70.
Article
CAS
Google Scholar
Starling AP, Umbach DM, Kamel F, Long S, Sandler DP, Hoppin JA. Pesticide use and incident diabetes among wives of farmers in the Agricultural Health Study. Occup Environ Med. 2014;71:629–35 BMJ Publishing Group Ltd.
Article
Google Scholar
Montgomery MP, Kamel F, Saldana TM, Alavanja MCR, Sandler DP. Incident Diabetes and Pesticide Exposure among Licensed Pesticide Applicators: Agricultural Health Study, 1993–2003. Am J Epidemiol Oxford Academic. 2008;167:1235–46.
Article
CAS
Google Scholar
Raafat N, Abass MA, Salem HM. Malathion exposure and insulin resistance among a group of farmers in Al-Sharkia governorate. Clin Biochem. 2012;45:1591–5.
Article
CAS
Google Scholar
Taxvig C, Dreisig K, Boberg J, Nellemann C, Schelde AB, Pedersen D, et al. Differential effects of environmental chemicals and food contaminants on adipogenesis, biomarker release and PPARγ activation. Mol Cell Endocrinol. 2012;361:106–15.
Article
CAS
Google Scholar
Sun Y, Liu B, Du Y, Snetselaar LG, Sun Q, Hu FB, et al. Inverse association between organic food purchase and diabetes mellitus in US adults. Nutrients. 2018;10:1877 Multidisciplinary Digital Publishing Institute.
Article
CAS
Google Scholar
European Food Safety Authority. The European Union report on pesticide residues in food. EFSA J. 2017;(15):e04791.
Monitoring data on pesticide residues in food. results on organic versus conventionally produced food. EFSA Support Publ. 2018;15:1397E.
Google Scholar
Oates L, Cohen M, Braun L, Schembri A, Taskova R. Reduction in urinary organophosphate pesticide metabolites in adults after a week-long organic diet. Environ Res. 2014;132:105–11.
Article
CAS
Google Scholar
Baudry J, Debrauwer L, Durand G, Limon G, Delcambre A, Vidal R, et al. Urinary pesticide concentrations in French adults with low and high organic food consumption: results from the general population-based NutriNet-Santé. J Expo Sci Environ Epidemiol. 2018. Available from: http://www.nature.com/articles/s41370-018-0062-9. Cited 23 Nov 2018.
Bradman A, Quirós-Alcalá L, Castorina R, Aguilar Schall R, Camacho J, Holland NT, et al. Effect of Organic Diet Intervention on Pesticide Exposures in Young Children Living in Low-Income Urban and Agricultural Communities. Environ Health Perspect. 2015;123:1086–93.
Article
CAS
Google Scholar
Curl CL, Beresford SAA, Fenske RA, Fitzpatrick AL, Lu C, Nettleton JA, et al. Estimating Pesticide Exposure from Dietary Intake and Organic Food Choices: The Multi-Ethnic Study of Atherosclerosis (MESA). Environ Health Perspect. 2015;123:475–83.
Article
Google Scholar
Hercberg S, Castetbon K, Czernichow S, Malon A, Mejean C, Kesse E, et al. The Nutrinet-Santé Study: a web-based prospective study on the relationship between nutrition and health and determinants of dietary patterns and nutritional status. BMC Public Health. 2010;10:242.
Article
Google Scholar
Touvier M, Méjean C, Kesse-Guyot E, Pollet C, Malon A, Castetbon K, et al. Comparison between web-based and paper versions of a self-administered anthropometric questionnaire. Eur J Epidemiol. 2010;25:287–96.
Article
Google Scholar
Touvier M, Kesse-Guyot E, Méjean C, Pollet C, Malon A, Castetbon K, et al. Comparison between an interactive web-based self-administered 24 h dietary record and an interview by a dietitian for large-scale epidemiological studies. Br J Nutr. 2011;105:1055–64.
Article
CAS
Google Scholar
Vergnaud A-C, Touvier M, Méjean C, Kesse-Guyot E, Pollet C, Malon A, et al. Agreement between web-based and paper versions of a socio-demographic questionnaire in the NutriNet-Santé study. Int J Public Health. 2011;56:407–17.
Article
Google Scholar
Lassale C, Castetbon K, Laporte F, Camilleri GM, Deschamps V, Vernay M, et al. Validation of a Web-based, self-administered, non-consecutive-day dietary record tool against urinary biomarkers. Br J Nutr Cambridge University Press. 2015;113:953–62.
Article
CAS
Google Scholar
Lassale C, Castetbon K, Laporte F, Deschamps V, Vernay M, Camilleri GM, et al. Correlations between Fruit, Vegetables, Fish, Vitamins, and Fatty Acids Estimated by Web-Based Nonconsecutive Dietary Records and Respective Biomarkers of Nutritional Status. J Acad Nutr Diet. 2016;116:427-438.e5.
Article
Google Scholar
Lassale C, Péneau S, Touvier M, Julia C, Galan P, Hercberg S, et al. Validity of web-based self-reported weight and height: results of the Nutrinet-Santé study. J Med Internet Res. 2013;15:e152.
Article
Google Scholar
Baudry J, Méjean C, Allès B, Péneau S, Touvier M, Hercberg S, et al. Contribution of Organic Food to the Diet in a Large Sample of French Adults (the NutriNet-Santé Cohort Study). Nutrients. 2015;7:8615–32.
Article
Google Scholar
Kesse-Guyot E, Castetbon K, Touvier M, Hercberg S, Galan P. Relative validity and reproducibility of a food frequency questionnaire designed for French adults. Ann Nutr Metab. 2010;57:153–62.
Article
CAS
Google Scholar
Le Moullec N, Deheeger M, Hercberg S, Preziosi P, Monteiro P, Valeix P, et al. Validation du manuel-photos utilisé pour l’enquête alimentaire de l’étude SU.VI.MAX. Cah nutr diét. 1996;31:158–64 Paris: Masson.
Google Scholar
Etude NutriNet-Santé. Table de Composition des Aliments de l’étude NutriNet-Santé (Nutrinet-Santé Study Food Composition Database). 2013.
Google Scholar
Untersuchungsämter Baden-Württemberg. Chemisches und Veterinäruntersuchungsamt Stuttgart (Startseite) [Internet]. Available from: http://www.cvuas.de/pub/default.asp?subid=1. Cited 29 May 2019.
Baudry J, Pointereau P, Seconda L, Vidal R, Taupier-Letage B, Langevin B, et al. Improvement of diet sustainability with increased level of organic food in the diet: findings from the BioNutriNet cohort. Am J Clin Nutr. 2019;109:1173–88.
Article
Google Scholar
European Food Safety Authority. The European Union Report on Pesticide Residues in Food. EFSA J. 2016;(14):e04611.
GEMS/Food Euro. Second workshop on reliable evaluation of low-level contamination of food. Report on a workshop in the frame of GEMS/Food-Euro. Geneva: WHO; 1995.
European Food Safety Authority. Management of left-censored data in dietary exposure assessment of chemical substances. EFSA J. 2010;8:1557.
Rebouillat P, Vidal R, Cravedi J-P, Taupier-Letage B, Debrauwer L, Gamet-Payrastre L, et al. Estimated dietary pesticide exposure from plant-based foods using NMF-derived profiles in a large sample of French adults. Eur J Nutr. 2020. Available from: https://doi.org/10.1007/s00394-020-02344-8. Cited 31 Jul 2020.
Bognár A. Tables on weight yield of food and retention factors of food constituents for the calculation of nutrient composition of cooked foods (dishes). Karlsruhe: BFE; 2002.
Bergström L. Nutrient losses and gains in the preparation of foods. Rapport 32/94. Upps Livsmedelsverket Natl Food Adm [Internet]. 1994; Available from: http://www.fao.org/uploads/media/Bergstroem_1994_32_Livsmedelsverket_nutrient_losses_and_gains.pdf
Yigit N, Velioglu YS. Effects of processing and storage on pesticide residues in foods. Crit Rev Food Sci Nutr [Internet]. 2019; Available from: https://doi.org/10.1080/10408398.2019.1702501. Cited 8 Jan 2020
Barański M, Średnicka-Tober D, Volakakis N, Seal C, Sanderson R, Stewart GB, et al. Higher antioxidant and lower cadmium concentrations and lower incidence of pesticide residues in organically grown crops: a systematic literature review and meta-analyses. Br J Nutr. 2014;112(5):794–811.
Article
CAS
Google Scholar
Hagströmer M, Oja P, Sjöström M. The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutr. 2006;9:755–62.
Article
Google Scholar
Srour B, Fezeu LK, Kesse-Guyot E, Allès B, Méjean C, Andrianasolo RM, et al. Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Santé). BMJ. 2019;365:l1451.
Article
Google Scholar
High Council for Public Health. French Nutrition and Health Programme’s dietary guidelines for adults for the period 2017–2021. 2017;7.
Chaltiel D, Adjibade M, Deschamps V, Touvier M, Hercberg S, Julia C, et al. Programme National Nutrition Santé – guidelines score 2 (PNNS-GS2): development and validation of a diet quality score reflecting the 2017 French dietary guidelines. Br J Nutr. 2019;122(3):331–42.
Martínez-González MA, Sánchez-Tainta A, Corella D, Salas-Salvadó J, Ros E, Arós F, et al. A provegetarian food pattern and reduction in total mortality in the Prevención con Dieta Mediterránea (PREDIMED) study. Am J Clin Nutr. 2014;100(Suppl 1):320S-S328.
Article
Google Scholar
Keaver L, Ruan M, Chen F, Du M, Ding C, Wang J, et al. Plant- and animal-based diet quality and mortality among US adults: a cohort study. Br J Nutr. 2020;18:1–11. Cambridge University Press.
Ferrari P, Slimani N, Ciampi A, Trichopoulou A, Naska A, Lauria C, et al. Evaluation of under- and overreporting of energy intake in the 24-hour diet recalls in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr Cambridge University Press. 2002;5:1329–45.
Article
CAS
Google Scholar
Seung D, Lee L. Algorithms for non-negative matrix factorization. Adv Neural Inf Process Syst. 2001;13:556–62.
Google Scholar
Béchaux C, Zetlaoui M, Tressou J, Leblanc J-C, Héraud F, Crépet A. Identification of pesticide mixtures and connection between combined exposure and diet. Food Chem Toxicol. 2013;59:191–8.
Article
CAS
Google Scholar
Traoré T, Béchaux C, Sirot V, Crépet A. To which chemical mixtures is the French population exposed? Mixture identification from the second French Total Diet Study. Food Chem Toxicol. 2016;98:179–88.
Article
CAS
Google Scholar
Traoré T, Forhan A, Sirot V, Kadawathagedara M, Heude B, Hulin M, et al. To which mixtures are French pregnant women mainly exposed? A combination of the second French total diet study with the EDEN and ELFE cohort studies. Food Chem Toxicol. 2018;111:310–28.
Article
CAS
Google Scholar
Mancini FR, Frenoy P, Fiolet T, Fagherazzi G, Crépet A. Identification of chemical mixtures to which women are exposed through the diet: Results from the French E3N cohort. Environ Int. 2021;152:106467.
Article
CAS
Google Scholar
Gaujoux R, Seoighe C. A flexible R package for nonnegative matrix factorization. BMC Bioinformatics. 2010;11:367.
Article
CAS
Google Scholar
Lee D-H, Steffes MW, Sjödin A, Jones RS, Needham LL, Jacobs DR. Low dose organochlorine pesticides and polychlorinated biphenyls predict obesity, dyslipidemia, and insulin resistance among people free of diabetes. PLoS ONE. 2011;6:e15977.
Article
CAS
Google Scholar
Tang M, Chen K, Yang F, Liu W. Exposure to Organochlorine Pollutants and Type 2 Diabetes: A Systematic Review and Meta-Analysis. PLOS One. 2014;9:e85556 Public Library of Science.
Article
CAS
Google Scholar
Park J, Park SK, Choi Y-H. Environmental pyrethroid exposure and diabetes in US adults. Environ Res. 2019;172:399–407.
Article
CAS
Google Scholar
Bao W, Liu B, Simonsen DW, Lehmler H-J. Association Between Exposure to Pyrethroid Insecticides and Risk of All-Cause and Cause-Specific Mortality in the General US Adult Population. JAMA Intern Med. 2020;180:367.
Article
CAS
Google Scholar
Liang X, Feswick A, Simmons D, Martyniuk CJ. Environmental toxicology and omics: A question of sex. J Proteomics. 2018;172:152–64.
Article
CAS
Google Scholar
Kesse-Guyot E, Rebouillat P, Payrastre L, Allès B, Fezeu LK, Druesne-Pecollo N, et al. Prospective association between organic food consumption and the risk of type 2 diabetes: findings from the NutriNet-Santé cohort study. Int J Behav Nutr Phys Act. 2020;17:136.
Article
Google Scholar
Rives C, Fougerat A, Ellero-Simatos S, Loiseau N, Guillou H, Gamet-Payrastre L, et al. Oxidative Stress in NAFLD: Role of Nutrients and Food Contaminants. Biomolecules. 2020;10:1702 Multidisciplinary Digital Publishing Institute.
Article
CAS
Google Scholar
Xiao X, Clark JM, Park Y. Potential contribution of insecticide exposure and development of obesity and type 2 diabetes. Food Chem Toxicol. 2017;105:456–74.
Article
CAS
Google Scholar
Kim J, Park Y, Yoon KS, Clark JM, Park Y. Imidacloprid, a neonicotinoid insecticide, induces insulin resistance. J Toxicol Sci. 2013;38:655–60.
Article
CAS
Google Scholar
Park Y, Kim Y, Kim J, Yoon KS, Clark J, Lee J, et al. Imidacloprid, a neonicotinoid insecticide, potentiates adipogenesis in 3T3-L1 adipocytes. J Agric Food Chem ACS Publications. 2013;61:255–9.
Article
CAS
Google Scholar
Egusquiza RJ, Blumberg B. Environmental Obesogens and Their Impact on Susceptibility to Obesity: New Mechanisms and Chemicals. Endocrinology [Internet]. 2020;161. Available from: https://doi.org/10.1210/endocr/bqaa024. Cited 28 Apr 2021
Alonso-Magdalena P, Quesada I, Nadal A. Endocrine disruptors in the etiology of type 2 diabetes mellitus. Nat Rev Endocrinol Nature Publishing Group. 2011;7:346–53.
Article
CAS
Google Scholar
Gore AC, Chappell VA, Fenton SE, Flaws JA, Nadal A, Prins GS, et al. EDC-2: The Endocrine Society’s Second Scientific Statement on Endocrine-Disrupting Chemicals. Endocr Rev. 2015;36:E1-150.
Article
CAS
Google Scholar
Andreeva VA, Salanave B, Castetbon K, Deschamps V, Vernay M, Kesse-Guyot E, et al. Comparison of the sociodemographic characteristics of the large NutriNet-Santé e-cohort with French Census data: the issue of volunteer bias revisited. J Epidemiol Community Health. 2015;69:893–8 BMJ Publishing Group Ltd.
Article
Google Scholar
Andreeva VA, Deschamps V, Salanave B, Castetbon K, Verdot C, Kesse-Guyot E, et al. Comparison of Dietary Intakes Between a Large Online Cohort Study (Etude NutriNet-Santé) and a Nationally Representative Cross-Sectional Study (Etude Nationale Nutrition Santé) in France: Addressing the Issue of Generalizability in E-Epidemiology. Am J Epidemiol. 2016;184:660–9.
Article
Google Scholar
Santé Publique France. L’état de santé de la population en France. Rapport 2017 [Internet]. 2017. Available from: https://www.santepubliquefrance.fr/docs/l-etat-de-sante-de-la-population-en-france.-rapport-2017.
Srour B, Fezeu LK, Kesse-Guyot E, Allès B, Debras C, Druesne-Pecollo N, et al. Ultraprocessed Food Consumption and Risk of Type 2 Diabetes Among Participants of the NutriNet-Santé Prospective Cohort. JAMA Intern Med American Medical Association. 2020;180:283–91.
Google Scholar
Lukowicz C, Ellero-Simatos S, Régnier M, Polizzi A, Lasserre F, Montagner A, et al. Metabolic Effects of a Chronic Dietary Exposure to a Low-Dose Pesticide Cocktail in Mice: Sexual Dimorphism and Role of the Constitutive Androstane Receptor. Environ Health Perspect. 2018;126:067007.
Article
Google Scholar