Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Health issues and nutrition in the elderly

Diet quality in an ethnically diverse population of older men in Australia

Abstract

Background/objectives

To compare the Australian Dietary Guideline Index (DGI-2013) and the Pyramid-based Mediterranean Diet Score (pyrMDS) as measures of diet quality in an ethnically diverse group of older men.

Subjects/methods

Seven hundred and ninety-four older men aged ≥75 participated in wave 3 (2012–2013) of the Concord Health and Ageing in Men Project. Dietary intake was assessed using a validated diet history questionnaire. Ethnicity was based on self-reported country of birth and categorised as Australian-born (418 men), Italian or Greek migrants (188), and other migrants (188). Incident cardiovascular outcomes until March 2018 were measured using the composite of major adverse cardiovascular events (MACE), which comprises all-cause mortality, acute myocardial infarction, congestive cardiac failure, coronary revascularisation and/or ischaemic stroke. Ability to predict incident cardiovascular outcomes and all-cause mortality were compared between standardised DGI-2013 pyrMDS scores by comparison of hazard ratios, discrimination (Harrell’s C-statistic) and calibration (calibration plots).

Results

Italian and Greek migrant men had significantly lower DGI-2013 scores (91.7 vs. 93.9; p = 0.01) but significantly higher pyrMDS scores (8.8 vs. 8.2; p < 0.0001) than Australian-born men. In the whole sample (794 men), the pyrMDS was a better predictor of both MACE (age-adjusted HR = 0.84; 95% CI = 0.75–0.94 vs. HR = 0.92; 95% CI = 0.82–1.03 for DGI-2013) and all-cause mortality (age-adjusted HR = 0.69; 95% CI = 0.60–0.80 vs. HR = 0.86; 95% CI = 0.74–0.99). The pyrMDS also demonstrated superior discrimination for predicting all-cause mortality and superior calibration for MACE and all-cause mortality.

Conclusions

The DGI-2013 appears to underestimate diet quality in older Italian and Greek migrant men. The pyrMDS appears superior to the DGI-2013 for prediction of incident cardiovascular disease and mortality regardless of ethnic background.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Mean diet quality scores based on pyrMDS and DGI-2013 by country of birth (n = 794).
Fig. 2: Hazard ratios for MACE and all-cause mortality per SD increase in pyrMDS and DGI-2013 (n = 745).
Fig. 3: Comparison of discrimination in prediction of MACE and death between the pyrMDS and DGI-2013 (n = 745).
Fig. 4: Hazard ratios for MACE and all-cause mortality per SD increase in pyrMDS and DGI-2013 in sensitivity analysis excluding those reporting being on a special diet for their health (n = 601).

Similar content being viewed by others

References

  1. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2224–60.

  2. National Health and Medical Research Council. Eat for health: Australian Dietary Guidelines. Canberra: NHMRC; 2013.

  3. National Health and Medical Research Council. A review of the evidence to address targeted questions to inform the revision of the Australian Dietary Guidelines. Canberra: National Health and Medical Research Council; 2011.

  4. National Health and Medical Research Council. Nutrient reference values for Australia and New Zealand including recommended dietary intakes. Canberra: NHMRC; 2006.

  5. National Health and Medical Research Council. A modelling system to inform the revision of the australian guide to healthy eating. In: Ageing DoHa, editor. Canberra: NHMRC; 2011.

  6. Australian Bureau of Statistics. 2071.0 Census of Population and Housing: reflecting Australia—stories from the Census, 2016. Cultural Diversity in Australia, ABS; 2019.

  7. Humes KR, Jones NA, Ramirez RR. Overview of race and Hispanic origin: 2010. United States Census Bureau; 2011. Contract No.: C201 0BR-02. https://www.census.gov/content/dam/Census/library/publications/2011/dec/c2010br-02.pdf.

  8. Rechel B, Mladovsky P, Ingleby D, Mackenbach JP, McKee M. Migration and health in an increasingly diverse Europe. Lancet. 2013;381:1235–45.

    Article  Google Scholar 

  9. Census of Population and Housing. Findings based on use of ABS TableBuilder data. 2016.

  10. Kouris-Blazos A. Morbidity mortality paradox of 1st generation Greek Australians. Asia Pac J Clin Nutr. 2002;11:S569–S75.

    Article  Google Scholar 

  11. Sofi F, Cesari F, Abbate R, Gensini GF, Trichopoulou A, Casini A. Updated meta-analysis on adherence to Mediterranean diet and health status. Eur Heart J. 2010;31:684.

    Google Scholar 

  12. Harriss LR, English DR, Powles J, Giles GG, Tonkin AM, Hodge AM, et al. Dietary patterns and cardiovascular mortality in the melbourne collaborative cohort study. Am J Clin Nutr. 2007;86:221–9.

    Article  CAS  Google Scholar 

  13. Prinelli F, Yannakoulia M, Anastasiou CA, Adorni F, Di Santo SG, Musicco M, et al. Mediterranean diet and other lifestyle factors in relation to 20-year all-cause mortality: a cohort study in an Italian population. Br J Nutr. 2015;113:1003–11.

    Article  CAS  Google Scholar 

  14. Ribeiro RV, Hirani V, Senior AM, Gosby AK, Cumming RG, Blyth FM, et al. Diet quality and its implications on the cardio-metabolic, physical and general health of older men: the Concord Health and Ageing in Men Project (CHAMP). Br J Nutr. 2017;118:130–43.

    Article  CAS  Google Scholar 

  15. Stanaway FF, Blyth FM, Naganathan V, Le Couteur DG, Ribeiro R, Hirani V, et al. Mortality paradox of older Italian-born men in Australia: the Concord Health and Ageing in Men Project. J Immigr Minor Health. 2020;22(1):102–9. https://doi.org/10.1007/s10903-019-00874-w.

    Article  PubMed  Google Scholar 

  16. Cumming RG, Handelsman D, Seibel MJ, Creasey H, Sambrook P, Waite L, et al. Cohort profile: The Concord Health and Ageing in Men Project (CHAMP). Int J Epidemiol. 2009;38:374–8.

    Article  Google Scholar 

  17. Burke BS. The dietary history as a tool in research. J Am Diet Assoc. 1947;23:1041–6.

    Article  Google Scholar 

  18. Waern RVR, Cumming R, Travison T, Blyth F, Naganathan V, Allman-Farinelli M, et al. Relative validity of a diet history questionnaire against a four-day weighed food record among older men in Australia: the Concord Health and Ageing in Men Project (CHAMP). J Nutr Health Aging. 2015;19:603–10.

    Article  Google Scholar 

  19. Thorpe MG, Milte CM, Crawford D, McNaughton SA. A revised Australian Dietary Guideline Index and its association with key sociodemographic factors, health behaviors and body mass index in peri-retirement aged adults. Nutrients. 2016;8:160.

  20. Bach-Faig A, Berry EM, Lairon D, Reguant J, Trichopoulou A, Dernini S, et al. Mediterranean diet pyramid today. Science and cultural updates. Public Health Nutr. 2011;14:2274–84.

    Article  Google Scholar 

  21. Tong TYN, Wareham NJ, Khaw KT, Imamura F, Forouhi NG. Prospective association of the Mediterranean diet with cardiovascular disease incidence and mortality and its population impact in a non-Mediterranean population: the EPIC-Norfolk study. BMC Med. 2016;14:135.

  22. Hu FB, Stampfer MJ, Rimm E, Ascherio A, Rosner BA, Spiegelman D, et al. Dietary fat and coronary heart disease: A comparison of approaches for adjusting for total energy intake and modeling repeated dietary measurements. Am J Epidemiol. 1999;149:531–40.

    Article  CAS  Google Scholar 

  23. Gnanenthiran SR, Ng ACC, Cumming R, Brieger DB, Le Couteur D, Waite L, et al. Low total cholesterol is associated with increased major adverse cardiovascular events in men aged ≥70 years not taking statins. BMJ Heart. 2020;106(9):698–705. https://doi.org/10.1136/heartjnl-2019-315449.

    Article  CAS  Google Scholar 

  24. Washburn RA, Smith KW, Jette AM, Janney CA. The Physical-Activity Scale for the Elderly (PASE)—Development and Evaluation. J Clin Epidemiol. 1993;46:153–62.

    Article  CAS  Google Scholar 

  25. Tobias DK, Hu FB. Does being overweight really reduce mortality? Obesity. 2013;21:1746–9.

    Article  Google Scholar 

  26. Royston P, Sauerbrei W. Multivariable model-building: a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables. Chichester, UK: Wiley; 2008.

  27. Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, et al. Assessing the performance of prediction models a framework for traditional and novel measures. Epidemiolog. 2010;21:128–38.

    Article  Google Scholar 

  28. Milte CM, Russell AP, Ball K, Crawford D, Salmon J, McNaughton SA. Diet quality and telomere length in older Australian men and women. Eur J Nutr. 2018;57:363–72.

    Article  CAS  Google Scholar 

  29. Livingstone KM, McNaughton SA. Diet quality is associated with obesity and hypertension in Australian adults: a cross sectional study. BMC Public Health. 2016;16:1037.

  30. Livingstone KM, McNaughton SA. Association between diet quality, dietary patterns and cardiometabolic health in Australian adults: a cross-sectional study. Nutr J. 2018;17:19.

  31. Huddy RL, Torres SJ, Milte CM, McNaughton SA, Teychenne M, Campbell KJ. Higher adherence to the Australian Dietary Guidelines is associated with better mental health status among Australian adult first-time mothers. J Acad Nutr Diet. 2016;116:1406–12.

    Article  Google Scholar 

  32. Martin JC, Moran LJ, Teede HJ, Ranasinha S, Lombard CB, Harrison CL. Diet quality in a weight gain prevention trial of reproductive aged women: a secondary analysis of a Cluster Randomized Controlled Trial. Nutrients. 2019;11:49.

  33. Opie RS, Ball K, Abbott G, Crawford D, Teychenne M, McNaughton SA. Adherence to the Australian dietary guidelines and development of depressive symptoms at 5 years follow-up amongst women in the READI cohort study. Nutr J. 2020;19:30.

  34. Milte CM, Thorpe MG, Crawford D, Ball K, McNaughton SA. Associations of diet quality with health-related quality of life in older Australian men and women. Exp Gerontol. 2015;64:8–16.

    Article  Google Scholar 

  35. Milte CM, Ball K, Crawford D, McNaughton SA. Diet quality and cognitive function in mid-aged and older men and women. BMC Geriatr. 2019;19:361.

  36. Alhazmi A, Stojanovski E, McEvoy M, Brown W, Garg ML. Diet quality score is a predictor of type 2 diabetes risk in women: the Australian Longitudinal Study on Women’s Health. Br J Nutr. 2014;112:945–51.

    Article  CAS  Google Scholar 

  37. Stanaway FF, Cumming RG, Naganathan V, Blyth FM, Creasey HM, Waite LM, et al. Depressive symptoms in older male Italian immigrants in Australia: the Concord Health and Ageing in Men Project. Med J Aust. 2010;192:158–62.

    Article  Google Scholar 

  38. Chen L, Magliano DJ, Balkau B, Colagiuri S, Zimmet PZ, Tonkin AM, et al. AUSDRISK: an Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures. Med J Aust. 2010;192:197–202.

    Article  Google Scholar 

  39. Forouhi NG, Krauss RM, Taubes G, Willett W. Dietary fat and cardiometabolic health: evidence, controversies, and consensus for guidance. BMJ. 2018;361:k2139.

  40. Salas-Salvado J, Bullo 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.

    Article  Google Scholar 

  41. Guasch-Ferré M, Hu FB, Martínez-González MA, Fitó M, Bulló M, Estruch R, et al. Olive oil intake and risk of cardiovascular disease and mortality in the PREDIMED Study. BMC Med. 2014;12:78.

    Article  Google Scholar 

  42. Gibson RS. Principles of nutritional assessment. 2nd ed. New York, Auckland, N.Z.: Oxford University Press; 2005.

  43. Shahar S, Earland J, Abdulrahman S. Validation of a Dietary History Questionnaire against a 7-D weighed record for estimating nutrient intake among rural elderly Malays. Malays J Nutr. 2000;6:33–44.

    CAS  PubMed  Google Scholar 

  44. Margetts B, Nelson M. Design concepts in nutritional epidemiology. 2nd ed. New York, NY: Oxford University Press; 1997.

  45. Willett W. Nutritional epidemiology. New York, NY: Oxford University Press; 1998.

Download references

Funding

The CHAMP study is funded by the National Health and Medical Research Council of Australia (Project Grant No. 301916) and the Ageing and Alzheimer’s Institute and the Sydney Medical School Foundation. This work was supported by the Australian Research Council Centre of Excellence in Population Aging Research (Project number CE170100005). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

FFS and RVR conceived the study in discussion with RGC and VH. All authors played an important role in interpreting the results. FFS and RVR drafted the manuscript and all other authors played a critical role in revising the manuscript. All authors approved the final version. All authors are accountable for the work.

Corresponding author

Correspondence to Fiona F. Stanaway.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

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

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Stanaway, F.F., Ribeiro, R.V., Khalatbari-Soltani, S. et al. Diet quality in an ethnically diverse population of older men in Australia. Eur J Clin Nutr 75, 1792–1800 (2021). https://doi.org/10.1038/s41430-021-00893-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41430-021-00893-7

This article is cited by

Search

Quick links