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

Impact of overall diet quality on association between alcohol consumption and risk of hypertension: evidence from two national surveys with multiple ethnics

Abstract

Background/objectives

Alcohol is commonly consumed around mealtimes. This study hypothesized that the association between alcohol and hypertension was influenced by overall diet quality. This study aims to test the hypothesis that overall diet quality influenced associations between alcohol and risk of hypertension across different ethnicities.

Subjects/methods

Using nationally representative data from National Health and Nutrition Examination Survey(NHANES 03–12), China Health Nutrition Survey (CHNS), and an independent population-based study, 43,914 adults were included. Subgroup analysis included 6984 adults from CHNS with a 14-year follow-up. Light alcohol consumption was defined as <7standard drinks/week, moderate as 7–21 drinks/week, and heavy as >21 drinks/week. Alternative healthy eating index and diet balance index were calculated as indicators of diet quality.

Results

There were 3968 hypertensives in Caucasians (N = 11,325), 1976 in Africans (N = 5010), 1907 in Hispanics (N = 7274) and 5267 (N = 20,305) in Chinese. In context of high diet quality, light alcohol consumption was significantly associated with decreased risk of hypertension in Caucasians, and the risk of hypertension was not significantly increased with increasing in alcohol consumption in Caucasians, Chinese, and Hispanics (all Pfor trend > 0.05). On the contrary, in context of low diet quality, the risk of hypertension was significantly increased with increasing in alcohol consumption in Caucasians (Pfor trend = 0.005), Chinese (Pfor trend = 0.001) and Hispanics (Pfor trend = 0.022). Associations between alcohol consumption and risk of hypertension significantly varied by diet-quality scores in Caucasians, Hispanics, and Chinese (all Pfor interaction < 0.01) showing gradually changing from nonsignificant increasing trend to linear association.

Conclusions

This study firstly demonstrated that overall diet quality influenced associations between alcohol and risk of hypertension across different ethnicities, emphasizing that when examining health effects of alcohol on blood pressure, diet quality should be considered.

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: Association between alcohol consumption and risk of hypertension by diet quality.
Fig. 2: Joint association of overall diet quality and alcohol consumption with risk of hypertension.
Fig. 3: Association between alcohol consumption and subsequent risk of hypertension, and joint association of changing in diet quality and alcohol consumption with subsequent risk of hypertension.

Similar content being viewed by others

Data availability

NHANES could be download at http://www.cdc.gov/nchs/nhanes/. CHNS could be download at http://www.cpc.unc.edu/projects/china. For HDNNCDS, researchers should contact the principal investigator if they wish to explore the possibility of collaborative work.

References

  1. Room R, Babor T, Rehm J. Alcohol and public health. Lancet. 2005;365:51930.

    Google Scholar 

  2. Ronksley PE, Brien SE, Turner BJ, Mukamal KJ, Ghali WA. Association of alcohol consumption with selected cardiovascular disease outcomes: a systematic review and meta-analysis. BMJ. 2011;342:d671.

    Article  Google Scholar 

  3. Di CA, Costanzo S, Bagnardi V, Donati MB, Iacoviello L, de Gaetano G. Alcohol dosing and total mortality in men and women: an updated meta-analysis of 34 prospective studies. Arch Intern Med. 2006;166:2437–45.

    Article  Google Scholar 

  4. Howard AA, Arnsten JH, Gourevitch MN. Effect of alcohol consumption on diabetes mellitus: a systematic review. Ann Intern Med. 2004;140:211–9.

    Article  Google Scholar 

  5. Chikritzhs T, Stockwell T, Naimi T, Andreasson S, Dangardt F, Liang W. Has the leaning tower of presumed health benefits from ‘moderate’ alcohol use finally collapsed. Addiction. 2015;110:726–7.

    Article  Google Scholar 

  6. Yeomans MR, Caton S, Hetherington MM. Alcohol and food intake. Curr Opin Clin Nutr Metab Care. 2003;6:639–44.

    Article  Google Scholar 

  7. Kesse E, Clavel–Chapelon F, Slimani N, van Liere M. Do eating habits differ according to alcohol consumption? Results of a study of the French cohort of the European Prospective Investigation into Cancer and Nutrition (E3N-EPIC). Am J Clin Nutr. 2001;74:322–7.

    Article  CAS  Google Scholar 

  8. Corrao G, Lepore AR, Torchio P, Galatola G, Aricò S, Di OF. Interaction between dietary pattern and alcohol intake on the risk of liver cirrhosis. The Provincial Group for the Study of Chronic Liver Disease. Rev Epidemiol Sante Publique. 1995;43:7–17.

    CAS  PubMed  Google Scholar 

  9. de Vries JH, Hollman PC, van Amersfoort I, Olthof MR, Katan MB. Red wine is a poor source of bioavailable flavonols in men. J Nutr. 2001;131:745–8.

    Article  Google Scholar 

  10. Bloch MJ. Worldwide prevalence of hypertension exceeds 1.3 billion. J Am Soc Hypertens. 2016;10:753–4.

    Article  Google Scholar 

  11. Han T, Gao J, Wang L, Li C, Qi L, Sun C, et al. The association of energy and macronutrient intake at dinner versus breakfast with disease-specific and all-cause mortality among people with diabetes: the U.S. National Health and Nutrition Examination Survey, 2003–2014. Diabetes Care. 2020;43:1442–8.

    Article  CAS  Google Scholar 

  12. Popkin BM, Du S, Zhai F, Zhang B. Cohort profile: the China Health and Nutrition Survey–monitoring and understanding socio-economic and health change in China, 1989-2011. Int J Epidemiol. 2010;39:1435–40.

    Article  Google Scholar 

  13. Na L, Wu X, Feng R, Li J, Han T, Lin L, et al. The Harbin Cohort Study on diet, nutrition and chronic non-communicable diseases: study design and baseline characteristics. PLoS ONE. 2015;10:e0122598.

    Article  Google Scholar 

  14. Xu X, Hall J, Byles J, Shi Z. Assessing dietary quality of older Chinese people using the Chinese Diet Balance Index (DBI). PLoS ONE. 2015;10:e0121618.

    Article  Google Scholar 

  15. Stade BC, Bailey C, Dzendoletas D, Sgro M, Dowswell T, Bennett D. Psychological and/or educational interventions for reducing alcohol consumption in pregnant women and women planning a pregnancy. Cochrane Database Syst Rev. 2009;2:CD004228.

    Google Scholar 

  16. Chudley AE, Conry J, Cook JL, Loock C, Rosales T, LeBlanc N, et al. Fetal alcohol spectrum disorder: Canadian guidelines for diagnosis. Can Med Assoc J. 2005;172:S1–21.

    Article  Google Scholar 

  17. John Godel MD, Canadian Pediatric Society. Fetal alcohol syndrome. Pediatr Child Health. 2002;7:161–74.

    Article  Google Scholar 

  18. Scientific report of the 2015 Dietary Guidelines Advisory Committee. Washington, DC: Department of Agriculture; 2015.

  19. Wang Y, Seitz HK, Wang XD. Moderate alcohol consumption aggravates high-fat diet induced steatohepatitis in rats. Alcohol Clin Exp Res. 2010;34:567–73.

    Article  CAS  Google Scholar 

  20. Gäbele E, Dostert K, Dorn C, Patsenker E, Stickel F, Hellerbrand C. A new model of interactive effects of alcohol and high-fat diet on hepatic fibrosis. Alcohol Clin Exp Res. 2011;35:1361–7.

    Article  Google Scholar 

  21. Chen Q, Turban S, Miller ER, Appel LJ. The effects of dietary patterns on plasma renin activity: results from the Dietary Approaches to Stop Hypertension trial. J Hum Hypertens. 2012;26:664–9.

    Article  CAS  Google Scholar 

  22. Lin PH, Allen JD, Li YJ, Yu M, Lien LF, Svetkey LP. Blood pressure-lowering mechanisms of the DASH dietary pattern. J Nutr Metab. 2012;2012:472396.

    Article  Google Scholar 

  23. Borgi L, Muraki I, Satija A, Willett WC, Rimm EB, Forman JP. Fruit and vegetable consumption and the incidence of hypertension in three prospective cohort studies. Hypertension. 2016;67:288–93.

    Article  CAS  Google Scholar 

  24. Heinonen I, Rinne P, Ruohonen ST, Ruohonen S, Ahotupa M, Savontaus E. The effects of equal caloric high fat and western diet on metabolic syndrome, oxidative stress and vascular endothelial function in mice. Acta Physiol. 2014;211:515–27.

    Article  CAS  Google Scholar 

  25. Meyer J, Döring A, Herder C, Roden M, Koenig W, Thorand B. Dietary patterns, subclinical inflammation, incident coronary heart disease and mortality in middle-aged men from the MONICA/KORA Augsburg cohort study. Eur J Clin Nutr. 2011;65:800–7.

    Article  CAS  Google Scholar 

  26. Lopez-Garcia E, Schulze MB, Fung TT, Meigs JB, Rifai N, Manson JE, et al. Major dietary patterns are related to plasma concentrations of markers of inflammation and endothelial dysfunction. Am J Clin Nutr. 2004;80:1029–35.

    Article  CAS  Google Scholar 

  27. Zapolski TC, Pedersen SL, McCarthy DM, Smith GT. Less drinking, yet more problems: understanding African American drinking and related problems. Psychol Bull. 2014;140:188–233.

    Article  Google Scholar 

  28. Lindhorst J, Alexander N, Blignaut J, Rayner B. Differences in hypertension between blacks and whites: an overview. Cardiovasc J Afr. 2007;18:241–7.

    PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This research was supported funds from National Natural Science Foundation (81803227 to TH), National Key R&D Program of China (2017YFC1307401 to CS), and used data from National Health and Nutrition Examination Survey (NHANES), China Health and Nutrition Survey (CHNS) and the Harbin Cohort Study on Diet, Nutrition and Chronic Noncommunicable Disease (HDNNCDS). We thank the National Institute for Nutrition and Health, China Center for Disease Control and Prevention, Carolina Population Center (P2C HD050924, T32 HD007168), the University of North Carolina at Chapel Hill, the NIH (R01-HD30880, DK056350, R24 HD050924, and R01-HD38700) and the NIH Fogarty International Center (D43 TW009077, D43 TW007709) for financial support for the CHNS data collection and analysis files from 1989 to 2015 and future surveys, and the China-Japan Friendship Hospital, Ministry of Health for support for CHNS 2009, Chinese National Human Genome Center at Shanghai since 2009, and Beijing Municipal Center for Disease Prevention and Control since 2011. We are indebted to the participants of NHANES and HDNNCDS for their cooperation and participation.

Funding

This research was supported funds from National Natural Science Foundation (81803227 to TH), National Key R&D Program of China (2017YFC1307401 to CS).

Author information

Authors and Affiliations

Authors

Contributions

YL and TH planned the work. TH and CS conducted and reported the work. WJ and XM were involved in the data collection. MW, XW, and XC were involved in analysis of data. PW, WH, and YW wrote the paper. All the authors were responsible for revising the paper and approved the final version.

Corresponding authors

Correspondence to Tianshu Han or Ying Li.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

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

Jiang, W., Meng, X., Hou, W. et al. Impact of overall diet quality on association between alcohol consumption and risk of hypertension: evidence from two national surveys with multiple ethnics. Eur J Clin Nutr 75, 112–122 (2021). https://doi.org/10.1038/s41430-020-00708-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41430-020-00708-1

Search

Quick links