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:

Epidemiology

Low diet quality and the risk of stroke mortality: the multiethnic cohort study

Abstract

Background/objectives

Several diets, e.g., those low in fruits/vegetables, high in sodium, and red/processed meat, have been related to a higher stroke risk. We investigated stroke mortality associated with a priori diet-quality indices in the Multiethnic Cohort study.

Subjects/methods

Based on 172,043 observations including 3548 stroke deaths, we investigated the Healthy Eating Index-2010 (HEI-2010), the Alternative HEI-2010, the alternate Mediterranean diet score, and the Dietary Approaches to Stop Hypertension index in relation to stroke mortality. Using Cox regression, we estimated adjusted population attributable risks (PAR) and hazard ratios (HR) for tertiles of the indices while adjusting for relevant confounders.

Results

The associations between all diet-quality indices and stroke mortality were consistent in direction; a low-quality diet was associated with a greater risk of stroke death, but the HEI-2010 was the strongest predictor. The PAR for stroke death based on HEI-2010 was 7.9% (95%-CI: 3.7–12.2%), indicating the preventable percentage of deaths if the total population had the same diet quality as those in the highest tertile for this diet-quality index. The lowest as compared to the highest tertile of the HEI-2010 was associated with a 1.23-fold (95%-CI: 1.13–1.34) risk. The PARs for low and medium adherence to the indices were similar by sex and follow-up time, but varied by ethnicity, with the highest PAR in Whites (15.4%) and no association in Latinos.

Conclusions

Findings for four diet-quality indices, in particular the HEI-2010, indicated that diet quality acts as an independent risk factor for stroke mortality. Promotion of a high diet quality could have a substantial impact on the prevention of stroke deaths.

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
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Kochanek KD, Murphy SL, Xu J, Tejada-Vera B, Deaths: final data for 2014. National Vital Statistics Reports. 2016;65:1–122. http://www.cdc.gov/nchs/data/nvsr/nvsr65/nvsr65_04.pdf.

  2. Miniño AM, Murphy SL, Xu J, Kochanek KD. Deaths: final data for 2008. National Vital Statistics Reports: From the Centers for Disease Control Prevention, National Center for Health Statistics, National Vital Statistics System. 2011;59:1–126..

  3. Feigin VL, Roth GA, Naghavi M, Parmar P, Krishnamurthi R, Chugh S, et al. Global burden of stroke and risk factors in 188 countries, during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet Neurol. 2016;15:913–24.

    Article  Google Scholar 

  4. O’Donnell MJ, Chin SL, Rangarajan S, Xavier D, Liu L, Zhang H, et al. Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (INTERSTROKE): a case-control study. Lancet. 2016;388:761–75.

    Article  Google Scholar 

  5. Gardener H, Rundek T, Wright CB, Elkind MSV, Sacco RL. Dietary sodium and risk of stroke in the Northern Manhattan study. Stroke. 2012;43:1200–5.

    Article  CAS  Google Scholar 

  6. Dauchet L, Amouyel P, Dallongeville J. Fruit and vegetable consumption and risk of stroke a meta-analysis of cohort studies. Neurology. 2005;65:1193–7.

    Article  Google Scholar 

  7. He FJ, Nowson CA, MacGregor GA. Fruit and vegetable consumption and stroke: meta-analysis of cohort studies. Lancet. 2006;367:320–6.

    Article  Google Scholar 

  8. Kaluza J, Wolk A, Larsson SC. Red meat consumption and risk of stroke a meta-analysis of prospective studies. Stroke. 2012;43:2556–60.

    Article  CAS  Google Scholar 

  9. Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13:3–9.

    Article  CAS  Google Scholar 

  10. Reedy J, Krebs-Smith SM, Miller PE, Liese AD, Kahle LL, Park Y, et al. Higher diet quality is associated with decreased risk of all-cause, cardiovascular disease, and cancer mortality among older adults. J Nutr. 2014;144:881–9.

    Article  CAS  Google Scholar 

  11. Fung TT, Rexrode KM, Mantzoros CS, Manson JE, Willett WC, Hu FB. Mediterranean diet and incidence of and mortality from coronary heart disease and stroke in women. Circulation. 2009;119:1093–100.

    Article  Google Scholar 

  12. Psaltopoulou T, Sergentanis TN, Panagiotakos DB, Sergentanis IN, Kosti R, Scarmeas N. Mediterranean diet, stroke, cognitive impairment, and depression: a meta‐analysis. Ann Neurol. 2013;74:580–91.

    Article  Google Scholar 

  13. Salehi-Abargouei A, Maghsoudi Z, Shirani F, Azadbakht L. Effects of Dietary Approaches to Stop Hypertension (DASH)-style diet on fatal or nonfatal cardiovascular diseases—incidence: a systematic review and meta-analysis on observational prospective studies. Nutrition. 2013;29:611–8.

    Article  Google Scholar 

  14. National Institutes of Health. Morbidity and Mortality. 2012 Chart Book on Cardiovascular, Heart and Lung Diseases. Bethesda, MD: National Institutes of Health; 2012.

    Google Scholar 

  15. Collaborators NMSS, Sacco RL, Boden-Albala B, Gan R, Chen X, Kargman DE, et al. Stroke incidence among white, black, and Hispanic residents of an urban community: the Northern Manhattan Stroke Study. Am J Epidemiol. 1998;147:259–68.

    Article  Google Scholar 

  16. Markus HS, Khan U, Birns J, Evans A, Kalra L, Rudd AG, et al. Differences in stroke subtypes between black and white patients with stroke. Circulation. 2007;116:2157–64.

    Article  Google Scholar 

  17. Kolonel LN, Henderson BE, Hankin JH, Nomura AM, Wilkens LR, Pike MC, et al. A multiethnic cohort in Hawaii and Los Angeles: baseline characteristics. Am J Epidemiol. 2000;151:346–57.

    Article  CAS  Google Scholar 

  18. Harmon BE, Boushey CJ, Shvetsov YB, Ettienne R, Reedy J, Wilkens LR, et al. Associations of key diet-quality indexes with mortality in the multiethnic cohort: the dietary patterns methods project. Am J Clin Nutr. 2015;101:587–97.

    Article  CAS  Google Scholar 

  19. Stram DO, Hankin JH, Wilkens LR, Pike MC, Monroe KR, Park S, et al. Calibration of the dietary questionnaire for a multiethnic cohort in Hawaii and Los Angeles. Am J Epidemiol. 2000;151:358–70.

    Article  CAS  Google Scholar 

  20. Sharma S, Murphy S, Wilkens L, Au D, Shen L, Kolonel L. Extending a multiethnic food composition table to include standardized food group servings. J Food Compos Anal. 2003;16:485–95.

    Article  Google Scholar 

  21. US Department of Health and Human Services and US Department of Agriculture. Dietary Guidelines for Americans. 7 edn. Washington, DC: US Government Printing Office; 2010.

  22. Guenther PM, Casavale KO, Reedy J, Kirkpatrick SI, Hiza HA, Kuczynski KJ, et al. Update of the healthy eating index: HEI-2010. J Acad Nutr Diet. 2013;113:569–80.

    Article  Google Scholar 

  23. Chiuve SE, Fung TT, Rimm EB, Hu FB, McCullough ML, Wang M, et al. Alternative dietary indices both strongly predict risk of chronic disease. J Nutr. 2012;142:1009–18. jn.111.157222

    Article  CAS  Google Scholar 

  24. Fung TT, McCullough ML, Newby P, Manson JE, Meigs JB, Rifai N, et al. Diet-quality scores and plasma concentrations of markers of inflammation and endothelial dysfunction. Am J Clin Nutr. 2005;82:163–73.

    Article  CAS  Google Scholar 

  25. Fung TT, Chiuve SE, McCullough ML, Rexrode KM, Logroscino G, Hu FB. Adherence to a DASH-style diet and risk of coronary heart disease and stroke in women. Arch Intern Med. 2008;168:713–20.

    Article  Google Scholar 

  26. NIH U. Department of Health and Human Services, National Institutes of Health, National Heart, Lung, and Blood Institute, Your guide to lowering your blood pressure with DASH. DASH eating plan 2006.

  27. Sacco RL, Kasner SE, Broderick JP, Caplan LR, Culebras A, Elkind MS, et al. An updated definition of stroke for the 21st century. Stroke. 2013;44:2064–89.

    Article  Google Scholar 

  28. McCormick N, Bhole V, Lacaille D, Avina-Zubieta JA. Validity of diagnostic codes for acute stroke in administrative databases: a systematic review. PloS One. 2015;10:e0135834

    Article  Google Scholar 

  29. Spiegelman D, Hertzmark E, Wand H. Point and interval estimates of partial population attributable risks in cohort studies: examples and software. Cancer Causes Control. 2007;18:571–9.

    Article  CAS  Google Scholar 

  30. Wickham H. ggplot2: elegant graphics for data analysis. New York: Springer Science and Business Media; 2009.

  31. R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2016.

  32. Dehghan M, Mente A, Teo KK, Gao P, Sleight P, Dagenais G, et al. Relationship between healthy diet and risk of cardiovascular disease among patients on drug therapies for secondary prevention a prospective cohort study of 31,546 high-risk individuals from 40 countries. Circulation. 2012;126:2705–12.

    Article  CAS  Google Scholar 

  33. Myint PK, O Bachmann M, Loke YK, D Musgrave S, Price GM, Hale R, et al. Important factors in predicting mortality outcome from stroke: findings from the Anglia Stroke Clinical Network Evaluation Study. Age Ageing. 2017;46:83–90.

    PubMed  Google Scholar 

  34. Wu SH, Woo J, Zhang X-H. Worldwide socioeconomic status and stroke mortality: an ecological study. Int J Equity Health. 2013;12:42.

    Article  Google Scholar 

  35. Wang H, Sandel ME, Terdiman J, Armstrong MA, Klatsky A, Camicia M, et al. Postacute care and ischemic stroke mortality: findings from an integrated health care system in northern California. PM&R. 2011;3:686–94.

    Article  Google Scholar 

  36. Williams LS, Eckert GJ, Gilbert J, Lapuerta P, Weinberger M. Regional variation in health care utilization and outcomes in ischemic stroke. J Stroke Cerebrovasc Dis. 2003;12:259–65.

    Article  Google Scholar 

Download references

Funding

The Multiethnic Cohort has been supported by NCI grant U01 CA164973 (PI: Drs. L. Le Marchand/C.A. Haiman/L.W. Wilkens). SJ was supported by a postdoctoral fellowship from the German Research Foundation (DFG, JA 2564/1-1). AA received funding from the German Exchange Service (DAAD) for her research stay at the University of Hawaii Cancer Center.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Annette Aigner.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Aigner, A., Becher, H., Jacobs, S. et al. Low diet quality and the risk of stroke mortality: the multiethnic cohort study. Eur J Clin Nutr 72, 1035–1045 (2018). https://doi.org/10.1038/s41430-018-0103-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41430-018-0103-4

This article is cited by

Search

Quick links