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Nutrition and Health (including climate and ecological aspects)

EAT-Lancet Healthy Reference Diet score and diabetes incidence in a cohort of Mexican women

Abstract

To improve the health of our planet and develop sustainable food policies, it is important to understand the health impact of a diet pattern that considers planetary and population health. We used data from the Mexican Teachers’ Cohort (MTC) to estimate the association between the EAT-Lancet healthy reference diet (EAT-HRD) and type 2 diabetes (T2D) incidence. We included 74,671 women aged ≥25 years, free of T2D at baseline. A validated food frequency questionnaire (FFQ) was used to assess dietary intake. We created an EAT-HRD score based on 15 food groups recommended by the EAT-Lancet Commission (range from 0 to 15). T2D cases were identified through self-report and cross-linkage with clinical and administrative databases. We used Cox proportional hazards models to estimate the association between categories of the EAT-HRD score with T2D incidence. During a median follow-up of 2.16 y (IQR 1.8–4.3 y), we identified 3241 T2D incident cases. The median EAT-HRD score was 6 (IQR 5–7). In multivariable analyses, when comparing extreme categories, higher adherence to the EAT-HRD score was associated with lower T2D incidence (HR 0.90; 95% CI 0.75, 1.10), yet, the estimation was imprecise. Compared to those who did not meet the EAT-HRD recommendations, adhering to the red meat, legumes, and fish recommendations was associated with lower T2D incidence. Meeting the recommendation of dairy and added sugars was associated with an increased incidence of T2D. Higher adherence to a diet designed to promote environmental and human health may help prevent T2D incidence among women in a middle-income country.

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Data availability

The data that supports the findings of this study are available from the corresponding author (DS) upon request.

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The code that supports the findings of this study is available from the corresponding author (DS) upon request.

References

  1. Afshin A, Sur PJ, Fay KA, Cornaby L, Ferrara G, Salama JS, et al. Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2019;393:1958–72. http://www.thelancet.com/article/S0140673619300418/fulltext.

  2. Pan A, Sun Q, Bernstein AM, Manson JE, Willett WC, Hu FB. Changes in red meat consumption and subsequent risk of type 2 diabetes mellitus three cohorts of US men and women. 2013;173. http://www.ncbi.nlm.nih.gov/pubmed/23779232.

  3. Debras C, Chazelas E, Srour B, Kesse-Guyot E, Julia C, Zelek L, et al. Total and added sugar intakes, sugar types, and cancer risk: results from the prospective NutriNet-Santé cohort. Am J Clin Nutr. 2020;112:1267–79. https://pubmed.ncbi.nlm.nih.gov/32936868/.

  4. Tsilas CS, De Souza RJ, Mejia SB, Mirrahimi A, Cozma AI, Jayalath VH, et al. Relation of total sugars, fructose and sucrose with incident type 2 diabetes: a systematic review and meta-analysis of prospective cohort studies. CMAJ. 2017;189:E711–20. https://www.cmaj.ca/content/189/20/E711.

  5. Muraki I, Imamura F, Manson JE, Hu FB, Willett WC, Van Dam RM, et al. Fruit consumption and risk of type 2 diabetes: results from three prospective longitudinal cohort studies. BMJ. 2013;347:f5001. http://www.ncbi.nlm.nih.gov/pubmed/23990623.

  6. Schulze MB, Martínez-González MA, Fung TT, Lichtenstein AH, Forouhi NG. Food based dietary patterns and chronic disease prevention. BMJ. 2018;361:k2396. http://www.ncbi.nlm.nih.gov/pubmed/29898951.

  7. Mamluk L, O’Doherty MG, Orfanos P, Saitakis G, Woodside JV, Liao LM, et al. Fruit and vegetable intake and risk of incident of type 2 diabetes: results from the consortium on health and ageing network of cohorts in Europe and the United States (CHANCES). Eur J Clin Nutr. 2017;71:83–91. http://www.ncbi.nlm.nih.gov/pubmed/27530474.

  8. Wang PY, Fang JC, Gao ZH, Zhang C, Xie SY. Higher intake of fruits, vegetables or their fiber reduces the risk of type 2 diabetes: a meta-analysis. J Diabetes Investig. 2016;7:56–69. https://pubmed.ncbi.nlm.nih.gov/26816602/.

  9. Qian F, Liu G, Hu FB, Bhupathiraju SN, Sun Q. Association between plant-based dietary patterns and risk of type 2 diabetes: a systematic review and meta-analysis. JAMA Intern Med. 2019;179:1335–44.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Aune D, Norat T, Romundstad P, Vatten LJ. Whole grain and refined grain consumption and the risk of type 2 diabetes: A systematic review and dose-response meta-analysis of cohort studies. Eur J Epidemiol. 2013;28:845–58. https://pubmed.ncbi.nlm.nih.gov/24158434/.

  11. Hamer M, Chida Y. Intake of fruit, vegetables, and antioxidants and risk of type 2 diabetes: systematic review and meta-analysis. J Hypertens. 2007;25:2361–9. http://www.ncbi.nlm.nih.gov/pubmed/17984654.

  12. Wu Y, Zhang D, Jiang X, Jiang W. Fruit and vegetable consumption and risk of type 2 diabetes mellitus: a dose-response meta-analysis of prospective cohort studies. Nutr Metab Cardiovasc Dis. 2015;25:140–7. http://www.ncbi.nlm.nih.gov/pubmed/25456152.

  13. Bazzano LA, Li TY, Joshipura KJ, Hu FB. Intake of fruit, vegetables, and fruit juices and risk of diabetes in women. Diabetes Care. 2008;31:1311–7. http://www.ncbi.nlm.nih.gov/pubmed/18390796.

  14. MacDiarmid JI, Whybrow S. Nutrition from a climate change perspective. In: Proc Nutr Soc. 2019:380–7. https://doi.org/10.1017/S0029665118002896.

  15. Vermeulen SJ, Campbell BM, Ingram JSI. Climate change and food systems. Ann Rev Environ Resour. 2012;37:195–222. www.annualreviews.org.

  16. Springmann M, Godfray HCJ, Rayner M, Scarborough P. Analysis and valuation of the health and climate change cobenefits of dietary change. Proc Natl Acad Sci USA. 2016;113:4146–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Conrad Z, Niles MT, Neher DA, Roy ED, Tichenor NE, Jahns L. Relationship between food waste, diet quality, and environmental sustainability. PLoS ONE. 2018;13:e0195405.

  18. The International Food Policy Research Institute. Global Food Policy Report 2017. Volume 91. Washington, D.C.: International Food Policy Research Institute; 2017. p. 399–404. http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/131085.

  19. Springmann M, Clark M, Mason-D’Croz D, Wiebe K, Bodirsky BL, Lassaletta L, et al. Options for keeping the food system within environmental limits. Nature. 2018;562:519–25. http://www.nature.com/articles/s41586-018-0594-0.

  20. Willett W, Rockström J, Loken B, Springmann M, Lang T, Vermeulen S, et al. Food in the Anthropocene: the EAT–Lancet Commission on healthy diets from sustainable food systems. Lancet. 2019;393:447–92. https://linkinghub.elsevier.com/retrieve/pii/S0140673618317884.

  21. Milner J, Green R. Sustainable diets are context specific but are they realistic? Lancet Planet Health. 2018;2:e425–6. https://linkinghub.elsevier.com/retrieve/pii/S2542519618302079.

  22. EAT-Lancet Commission. Food Planet Health. Healthy diets from sustainable food systems summary report of the EAT-Lancet Commission. Lancet. 2019. https://eatforum.org/content/uploads/2019/04/EAT-Lancet_Commission_Summary_Report.pdf.

  23. Béné C, Oosterveer P, Lamotte L, Brouwer ID, de Haan S, Prager SD, et al. When food systems meet sustainability – current narratives and implications for actions. World Dev. 2019;113:116–30. https://www.sciencedirect.com/science/article/pii/S0305750X18303115.

  24. Chen C, Chaudhary A, Mathys A, Chen C, Chaudhary A, Mathys A. Dietary change scenarios and implications for environmental, nutrition, human health and economic dimensions of food sustainability. 2019;11:856. https://www.mdpi.com/2072-6643/11/4/856.

  25. Springmann M, Wiebe K, Mason-D’Croz D, Sulser TB, Rayner M, Scarborough P. Health and nutritional aspects of sustainable diet strategies and their association with environmental impacts: a global modelling analysis with country-level detail. Lancet Planet Health. 2018;2:e451–61. https://linkinghub.elsevier.com/retrieve/pii/S2542519618302067.

  26. Laine JE, Huybrechts I, Gunter MJ, Ferrari P, Weiderpass E, Tsilidis K, et al. Co-benefits from sustainable dietary shifts for population and environmental health: an assessment from a large European cohort study. 2021;5. www.thelancet.com/.

  27. Trijsburg L, Talsma EF, Crispim SP, Garrett J, Kennedy G, de Vries JHM, et al. Method for the development of wish, a globally applicable index for healthy diets from sustainable food systems. Nutrients. 2021;13:1–17.

    Google Scholar 

  28. Knuppel A, Papier K, Key TJ, Travis RC. EAT-Lancet score and major health outcomes: the EPIC-Oxford study. Lancet. 2019;394:213–4. http://www.ncbi.nlm.nih.gov/pubmed/31235280.

  29. Stubbendorff A, Sonestedt E, Ramne S, Drake I, Hallström E, Ericson U. Development of an EAT-Lancet index and its relation to mortality in a Swedish population. Am J Clin Nutr. 2021. https://pubmed.ncbi.nlm.nih.gov/34791011/.

  30. Cissé G. Food-borne and water-borne diseases under climate change in low- and middle-income countries: Further efforts needed for reducing environmental health exposure risks. Acta Trop. 2019;194:181–8. https://linkinghub.elsevier.com/retrieve/pii/S0001706X18309525.

  31. Scheelbeek PFD, Dangour AD, Jarmul S, Turner G, Sietsma AJ, Minx JC, et al. The effects on public health of climate change adaptation responses: a systematic review of evidence from low- and middle-income countries. Environ Res Lett. 2021;16:073001. https://iopscience.iop.org/article/10.1088/1748-9326/ac092c.

  32. Dempsey C. Guest post: are low- and middle-income countries bound to eat more meat? Carbon Brief Clear on climate. 2020. https://www.carbonbrief.org/guest-post-are-low-and-middle-income-countries-bound-to-eat-more-meat/.

  33. Ritchie H, Roser M. Meat and dairy production. Our World in Data. 2017. https://ourworldindata.org/meat-production#citation.

  34. He Y, Li Y, Yang X, Hemler EC, Fang Y, Zhao L, et al. The dietary transition and its associated cardiometabolic mortality among Chinese adults from 1982–2012: a cross-sectional population-based study. Lancet Diabetes Endocrinol. 2019;7:540.

    Article  PubMed  Google Scholar 

  35. López-Olmedo N, Stern D, Bakhtsiyarava M, Pérez-Ferrer C, Langellier B. Greenhouse gas emissions associated with the Mexican diet: identifying social groups with the largest carbon footprint. Front Nutr. 2022;9:791767.

  36. Satija A, Bhupathiraju SN, Rimm EB, Spiegelman D, Chiuve SE, Borgi L, et al. Plant-based dietary patterns and incidence of type 2 diabetes in US men and women: results from three prospective cohort studies. PLoS Med. 2016;13. https://pubmed.ncbi.nlm.nih.gov/27299701/.

  37. Lattimer JM, Haub MD. Effects of dietary fiber and its components on metabolic health. Nutrients. 2010;2:1266–89. https://pubmed.ncbi.nlm.nih.gov/22254008/.

  38. Chen Z, Drouin-Chartier JP, Li Y, Baden MY, Manson JAE, Willett WC, et al. Changes in plant-based diet indices and subsequent risk of type 2 diabetes in women and men: three U.S. prospective cohorts. Diabetes Care. 2021;44:663–71. https://care.diabetesjournals.org/content/44/3/663.

  39. Cacau LT, Benseñor IM, Goulart AC, Cardoso LO, Lotufo PA, Moreno LA, et al. Adherence to the planetary health diet index and obesity indicators in the Brazilian longitudinal study of adult health (ELSA-Brasil). Nutrients. 2021;13:3691.

  40. Ibsen DB, Christiansen AH, Olsen A, Tjønneland A, Overvad K, Wolk A, et al. Adherence to the EAT-lancet diet and risk of stroke and stroke subtypes: a cohort study. Stroke. 2022;53:154–63. https://pubmed.ncbi.nlm.nih.gov/34872335/.

  41. Xu C, Cao Z, Yang H, Hou Y, Wang X, Wang Y. Association between the EAT-lancet diet pattern and risk of type 2 diabetes: a prospective cohort study. Front Nutr. 2022;8:784018.

  42. Godfray HCJ, Aveyard P, Garnett T, Hall JW, Key TJ, Lorimer J, et al. Meat consumption, health, and the environment. Science. 2018;361. www.fao.org/faostat/en/?#data.

  43. Hallström E, Bergman K, Mifflin K, Parker R, Tyedmers P, Troell M, et al. Combined climate and nutritional performance of seafoods. J Clean Prod. 2019;230:402–11.

    Article  Google Scholar 

  44. Kirii K, Mizoue T, Iso H, Takahashi Y, Kato M, Inoue M, et al. Calcium, vitamin D and dairy intake in relation to type 2 diabetes risk in a Japanese cohort. Diabetologia. 2009;52:2542–50. http://link.springer.com/10.1007/s00125-009-1554-x.

  45. Sluijs I, Forouhi NG, Beulens JW, Van Der Schouw YT, Agnoli C, Arriola L, et al. The amount and type of dairy product intake and incident type 2 diabetes: results from the EPIC-InterAct Study. Am J Clin Nutr. 2012;96:382–90. https://academic.oup.com/ajcn/article/96/2/382/4576917.

  46. Tong X, Dong J-Y, Wu Z-W, Li W, Qin L-Q. Dairy consumption and risk of type 2 diabetes mellitus: a meta-analysis of cohort studies. Eur J Clin Nutr. 2011;65:1027–31. http://www.nature.com/articles/ejcn201162.

  47. Neuenschwander M, Ballon A, Weber KS, Norat T, Aune D, Schwingshackl L, et al. Role of diet in type 2 diabetes incidence: Umbrella review of meta-analyses of prospective observational studies. BMJ. 2019. https://doi.org/10.1136/bmj.l2368.

  48. Sharma M, Kishore A, Roy D, Joshi K. A comparison of the Indian diet with the EAT-Lancet reference diet. BMC Public Health. 2020;20:812.

  49. Tucci M, Martini D, Del Bo’ C0Marino M, Battezzati A, Bertoli S, et al. An italian-mediterranean dietary pattern developed based on the EAT-lancet reference diet (EAT-IT): a nutritional evaluation. Foods. 2021;10:558.

  50. Lassen AD, Christensen LM, Trolle E. Development of a danish adapted healthy plant-based diet based on the EAT-lancet reference diet. Nutrients. 2020;12:738.

  51. Mantzioris E, Villani A Translation of a mediterranean-style diet into the australian dietary guidelines: A nutritional, ecological and environmental perspective. Nutrients. 2019;11:2507.

  52. Castellanos-Gutiérrez A, Sánchez-Pimienta TG, Batis C, Willett W, Rivera JA. Toward a healthy and sustainable diet in Mexico: where are we and how can we move forward? Am J Clin Nutr. 2021;113:1177–84. https://academic.oup.com/ajcn/article/113/5/1177/6155852..

  53. Hirvonen K, Bai Y, Headey D, Masters WA. Affordability of the EAT–Lancet reference diet: a global analysis. Lancet Glob Health. 2020;8:e59–66. www.thelancet.com/lancetgh.

  54. Batis C, Marrón-Ponce JA, Stern D, Vandevijvere S, Barquera S, Rivera JA. Adoption of healthy and sustainable diets in Mexico does not imply higher expenditure on food. Nat Food. 2021;2:792–801. https://www.nature.com/articles/s43016-021-00359-w.

  55. Lajous M, Ortiz-Panozo E, Monge A, Santoyo-Vistrain R, García-Anaya A, Yunes-Díaz E, et al. Cohort Profile: The Mexican Teachers’ Cohort (MTC). Int J Epidemiol. 2015;10:dyv123. http://www.ije.oxfordjournals.org/lookup/doi/10.1093/ije/dyv123.

  56. Hernández-Avila M, Romieu I, Parra S, Hernández-Avila J, Madrigal H, Willett W. Validity and reproducibility of a food frequency questionnaire to assess dietary intake of women living in Mexico City. Salud Publica Mex. 1998;40:133–40.

  57. Loken B, DeClerk F. Diets for a better future: rebooting and reimagining healthy and sustainable food systems in the G20. Oslo. 2020. https://eatforum.org/content/uploads/2020/07/Diets-for-a-Better-Future_G20_National-Dietary-Guidelines.pdf.

  58. Pan American Health Organization, WHO. Nutrient profile model. 2016. www.paho.org/permissions.

  59. USDA National Nutrient Database for Standard Reference, Legacy Release | Ag Data Commons. https://data.nal.usda.gov/dataset/usda-national-nutrient-database-standard-reference-legacy-release.

  60. Medina C, Monge A, Romero M, López-Ridaura R, Barquera S, Romieu I, et al. Reliability and validity of the Mexican teachers’ physical activity questionnaire (MTPAQ) in a subsample of female Mexican teachers. BMC Sport Sci Med Rehabil. 2021;13:1–8. https://bmcsportsscimedrehabil.biomedcentral.com/articles/10.1186/s13102-021-00371-4.

  61. Ortiz-Panozo E, Yunes-Díaz E, Lajous M, Romieu I, Monge A, López-Ridaura R. Validity of self-reported anthropometry in adult Mexican women. Salud Publica Mex. 2017;59:266–75.

    Article  PubMed  Google Scholar 

  62. Hernán MA, Hernández-Díaz S, Werler MM, Mitchell AM. Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology. Am J Epidemiol. 2002;155:176–84. https://pubmed.ncbi.nlm.nih.gov/11790682/.

  63. Toh S, García Rodríguez LA, Hernán MA. Analyzing partially missing confounder information in comparative effectiveness and safety research of therapeutics. Pharmacoepidemiol Drug Saf. 2012;21:13–20. https://pubmed.ncbi.nlm.nih.gov/22552975/.

  64. Haneuse S, Vanderweele TJ, Arterburn D. Using the E-value to assess the potential effect of unmeasured confounding in observational studies. 321, JAMA. 2019;321:602–3. https://pubmed.ncbi.nlm.nih.gov/30676631/.

  65. Van Der Weele TJ, Ding P. Sensitivity analysis in observational research: introducing the E-value. Ann Intern Med. 2017;167:268–74.

    Article  Google Scholar 

  66. Conen D, Ridker PM, Mora S, Buring JE, Glynn RJ. Blood pressure and risk of developing type 2 diabetes mellitus: The Women’s Health Study. Eur Heart J. 2007;28:2937–43. https://pubmed.ncbi.nlm.nih.gov/17925342/.

  67. Wei GS, Coady SA, Goff DC, Brancati FL, Levy D, Selvin E, et al. Blood pressure and the risk of developing diabetes in African Americans and Whites: ARIC, CARDIA, and the Framingham Heart Study. Diabetes Care. 2011;34:873–9. https://pubmed.ncbi.nlm.nih.gov/21346180/.

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Acknowledgements

We thank Antonio García-Anaya and Adrian Cortes for exceptional assistance with data management. We also thank ISSSTE (Social Security and Services Institute for Employees of the State) and Victor Sastre from Mexico’s Ministry of Education for their support over the years. In particular, we would like to thank Dr. Vesta Louise Richardson López Collada from ISSSTE for providing the MTC access to the Comprehensive Management of Diabetes by Stages (MIDE) program and the Observatory of Diabetes and Chronic Diseases (ODEC). We are extremely grateful to the Mexican Teachers’ Cohort participants, as, without their participation, this study would not have been possible.

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GEL and DS designed the work, GEL performed the analysis with supervision of DS, GEL and DS drafted the manuscript, and CB, CG, MC, ACV, RLR and ML revised the manuscript.

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Correspondence to Dalia Stern.

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López, G.E., Batis, C., González, C. et al. EAT-Lancet Healthy Reference Diet score and diabetes incidence in a cohort of Mexican women. Eur J Clin Nutr 77, 348–355 (2023). https://doi.org/10.1038/s41430-022-01246-8

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