Skip to main content
SpringerLink
Log in

Dietary Patterns, Diabetes, and Aging

  • Obesity and Diabetes (SML Ribeiro, Section Editor)
  • Published:
Current Geriatrics Reports Aims and scope Submit manuscript

Abstract

Purpose of Review

Several studies have suggested that eating patterns are associated with healthy aging and lower risk of diseases such as diabetes. The purpose of this paper is to review recent publications about dietary patterns, diabetes, and aging.

Recent Findings

The most robust research available on dietary patterns to reduce the risk of diabetes mainly indicates Mediterranean-style, DASH diet, vegetarian or vegan, and low-carb diet plans.

Summary

An optimal dietary pattern for healthy aging and the treatment of diabetes should emphasize plant-based food (vegetables, beans, nuts and seeds, fruits, and whole intact grains), fish and other seafood, olive oil as the principal source of dietary fat; low-fat dairy products (mainly yoghurt and cheese) in low to moderate amounts; minimized consumption of refined grains; and preference of whole foods over highly processed foods. Further research on this topic is needed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

Papers of particular interest, published recently, have been highlighted as: • Of importance

  1. World Health Organization (WHO). World report on ageing and health. Geneva; 2015.

  2. World Health Organization (WHO). Integrated care for older people. Geneva; 2019.

  3. • Schoufour JD, Voortman T, Franco OH, Kiefte-De Jong JC. Dietary Patterns and Healthy Aging. In: Food for the Aging Population. Woodhead Publishing Series in Food Science, Technology and Nutrition 2017; 223–254.doi: https://doi.org/10.1016/B978-0-08-100348-0.00011-1

  4. Esposito K, Chiodini P, Maiorino MI, Bellastella G, Panagiotakos D, Giugliano. Which diet for prevention of type 2 diabetes? A meta-analysis of prospective studies. Endocrine. 2014;47:107–16. https://doi.org/10.1007/s12020-014-0264-4.

    Article  CAS  PubMed  Google Scholar 

  5. • Previdelli ÁN, De Andrade SC, Fisberg RM, Marchioni DM. Using two different approaches to assess dietary patterns: hypothesis-driven and data-driven analysis. Nutrients. 2016;8(10):593. https://doi.org/10.3390/nu8100593.

    Article  PubMed Central  Google Scholar 

  6. Panagiotakos D. α-Priori versus α-posterior methods in dietary pattern analysis: a review in nutrition epidemiology. Nutr Bull. 2008;33(4):311–5. https://doi.org/10.1111/j.1467-3010.2008.00731.x.

    Article  Google Scholar 

  7. Thorpe MG, Milte CM, Crawford D, et al. A comparison of the dietary patterns derived by principal component analysis and cluster analysis in older Australians. Int J Behav Nutr Phys Act. 2016;13:30. doi.org. https://doi.org/10.1186/s12966-016-0353-2.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Herforth A, Arimond M, Álvarez-Sánchez C, Coates J, Christianson K, Muehlhoff E, A. Global review of food-based dietary guidelines. Adv Nutr; 2019;10(4): 590–605. doi: https://doi.org/10.1093/advances/nmy130.

  9. • World Health Organization (WHO). HEARTS – D Diagnosis and management of type 2 diabetes. Geneva; 2020.

  10. World Health Organization (WHO). Global Report on Diabetes. Geneve; 2016.

  11. • Evert AB, Dennison M, Gardner CD, et al. Nutrition therapy for adults with diabetes or prediabetes: a consensus report. Diabetes Care. 2019;42(5):731–54. https://doi.org/10.2337/dci19-0014.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Salas-Salvadó J, Bulló M, Estruch R, Ros E, Covas MI, Ibarrola-Jurado N, et al. Prevention of diabetes with Mediterranean diets: a subgroup analysis of a randomized trial. Ann Intern Med. 2014;160:1–10. https://doi.org/10.7326/M13-1725.

    Article  PubMed  Google Scholar 

  13. • Lee Y, Park K. Adherence to a vegetarian diet and diabetes risk: a systematic review and meta-analysis of observational studies. Nutrients. 2017;9(6):603. https://doi.org/10.3390/nu9060603.

    Article  CAS  PubMed Central  Google Scholar 

  14. • Schwingshackl L, Bogensberger B, Hoffmann G. Diet quality as assessed by the Healthy Eating Index, Alternate Healthy Eating Index, Dietary Approaches to Stop Hypertension score, and health outcomes: an updated systematic review and meta-analysis of cohort studies. J Acad Nutr Diet. 2018;118(1):74–100. https://doi.org/10.1016/j.jand.2017.08.024.

    Article  PubMed  Google Scholar 

  15. Noto H, Goto A, Tsujimoto T, Noda M. Long-term low-carbohydrate diets and type 2 diabetes risk: a systematic review and meta-analysis of observational studies. J Gen Fam Med. 2016;17:60–70. https://doi.org/10.14442/jgfm.17.1_60.

    Article  Google Scholar 

  16. Sainsbury E, Kizirian NV, Partridge SR, Gill T, Colagiuri S, Gibson AA. Effect of dietary carbohydrate restriction on glycemic control in adults with diabetes: a systematic review and meta-analysis. Diabetes Res Clin Pract. 2018;139:239–52. https://doi.org/10.1016/j.diabres.2018.02.026.

    Article  CAS  PubMed  Google Scholar 

  17. Del Castillo MD, Iriondo-DeHond A, Iriondo-DeHond M, Gonzalez I, Medrano A, Filip R, et al. Healthy eating recommendations: good for reducing dietary contribution to the body’s advanced glycation/lipoxidation end products pool? Nutr Res Rev. 2020;26:1–16. https://doi.org/10.1017/S0954422420000141.

    Article  Google Scholar 

  18. Šebeková K, Šebeková KB. Glycated proteins in nutrition: friend or foe? Exp Gerontol. 2019;117:76–90. https://doi.org/10.1016/j.exger.2018.11.012.

    Article  CAS  PubMed  Google Scholar 

  19. Urribarri J, Woodruff S, Susan GS, et al. Advanced glycation end products in foods and a practical guide to their reduction in the diet. J Am Diet Assoc. 2010;110(6):911–16.e12. https://doi.org/10.1016/j.jada.2010.03.018.

    Article  Google Scholar 

  20. • Yoona K, Jennifer BK, Permal D, Peter MC. Differential effects of dietary patterns on advanced glycation end products: a randomized crossover study. Nutrients. 2020;12(6):1767. https://doi.org/10.3390/nu12061767.

    Article  CAS  Google Scholar 

  21. Ribeiro PVM, Tavares JF, Costa MAC, Mattar JB, Alfenas RCG. Effect of reducing dietary advanced glycation products on obesity-associated complications: a systematic review. Nutr Rev. 2019;1:77(10):725–34. https://doi.org/10.1093/nutrit/nuz034.

    Article  PubMed  Google Scholar 

  22. Cordova R, Knaze V, Viallon V, Rust P, Schalkwijk CG, Weiderpass E, et al. Dietary intake of advanced glycation end products (AGEs) and changes in body weight in European adults. Eur J Nutr. 2019;59:7–2904. https://doi.org/10.1007/s00394-019-02129-8.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Graduate Program in the Sciences of Aging, São Judas Tadeu University (USJT), Rua Taquari, 546, Mooca, São Paulo, SP, CEP: 03166-000, Brazil

    Rita de Cássia de Aquino, Érica Line de Oliveira Pedron & Adriana Machado-Lima

  2. Rua Nilo, 35 apto 61, Aclimação, São Paulo, SP, CEP 01533-010, Brazil

    Rita de Cássia de Aquino

  3. Nutrition Program, São Judas Tadeu University, Rua Taquari, 546, Mooca, São Paulo, SP, CEP: 03166-000, Brazil

    Ágatha Nogueira Previdelli

  4. Rua Dr. Vital Brazil, 241, apto 101, bloco 01, Vila Santa Luzia, São Bernardo do Campo, SP, CEP 09664-000, Brazil

    Érica Line de Oliveira Pedron

Authors
  1. Rita de Cássia de Aquino
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ágatha Nogueira Previdelli
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Érica Line de Oliveira Pedron
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Adriana Machado-Lima
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rita de Cássia de Aquino.

Ethics declarations

Conflict of Interest

Rita de Cássia de Aquino, Ágatha Nogueira Previdelli, Érica Line de Oliveira Pedron and Adriana Machado-Lima declare no conflict of interest.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection on Obesity and Diabetes

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

de Aquino, R.d.C., Previdelli, Á.N., de Oliveira Pedron, É.L. et al. Dietary Patterns, Diabetes, and Aging. Curr Geri Rep 9, 275–279 (2020). https://doi.org/10.1007/s13670-020-00335-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13670-020-00335-5

Keywords

Search

Navigation