Longitudinal study of dietary patterns and hypertension in adults: China Health and Nutrition Survey 1991-2018

Hypertens Res. 2023 Oct;46(10):2264-2271. doi: 10.1038/s41440-023-01322-x. Epub 2023 Jun 19.

Abstract

China is undergoing the nutrition transition that may explain partly the high prevalence of hypertension. We aimed to investigate the longitudinal association between dietary patterns and hypertension in Chinese adults over 28 years of follow-up. We used data collected in the China Health and Nutrition Survey from 1991 to 2018. Adults aged 18 years and above (n = 15,929) were included in the analysis, for whom questionnaires and anthropometric data were collected during at least two waves. Factor analysis was conducted to derive food patterns based on 18 foods or food groups. We constructed three-level mixed-effect linear regression models to estimate systolic blood pressure (SBP) and diastolic blood pressure (DBP) in relation to quartiles of dietary pattern score and performed three-level mixed-effect logistic regression models to assess the risk of hypertension. Participants in the top quartile of the modern pattern had a decrease in SBP (β = - 0.51; 95% CI -0.86, -0.16; P < 0.01) when adjusted for all potential confounders, whereas participants in the top quartile of the meat pattern had an increase in DBP (β = 0.31; 95% CI 0.08, 0.53; P < 0.01). Participants in the highest quartile of the meat pattern were more likely to have hypertension (OR = 1.14; 95% CI 1.03, 1.24; P < 0.01). Adherence to the modern pattern characterized by high intake of fruits and dairy products was inversely associated with SBP, whereas the meat pattern was positively associated with DBP and the risk of hypertension. These findings may well have important public health implications.

Keywords: Adult; Blood Pressure; Factor Analysis; Hypertension; Nutrition Surveys.

MeSH terms

  • Adult
  • Blood Pressure / physiology
  • China / epidemiology
  • Diet
  • Humans
  • Hypertension* / epidemiology
  • Hypertension* / etiology
  • Longitudinal Studies
  • Nutrition Surveys