Association of adiposity indicators with hypertension among Chinese adults

Nutr Metab Cardiovasc Dis. 2021 May 6;31(5):1391-1400. doi: 10.1016/j.numecd.2021.01.001. Epub 2021 Jan 21.

Abstract

Background and aims: Obesity has been linked to the development of hypertension, but the comparison of relationships between different obesity parameters with hypertension are scarcely studied with nationally representative Chinese adults samples. We sought to compare the predictive strengths of different obesity indicators to hypertension.

Methods and results: Data in this study were obtained from the Chinese National Stroke Prevention Project with a nationally representative sample of Chinese aged 40 years and older. A total of 162,880 individuals were included. Multi-level analyses and Receiver Operating Characteristic (ROC) curves were used to examine the risk of hypertension in relation to different obesity parameters, including body mass index (BMI), waist circumference (WC), lipid accumulation product index (LAP), visceral adiposity index (VAI), and body adiposity index (BAI). As results, the BMI, WC, LAP, VAI, and BAI were positively associated with the risk of hypertension (P < 0.001). In total, BMI had the strongest association with hypertension when compared with other obesity indicators, and one SD up of BMI would increase the risk of hypertension by 53.9% (95% CI: 1.514-1.566). For men, WC was most associated with hypertension, and one SD up of WC would increase the risk of hypertension by 73.3% (95% CI: 1.685-1.782). For women, BMI showed the strongest predictive power, one SD up of BMI would increase the risk of hypertension by 51.0% (95% CI: 1.479-1.543).

Conclusions: BMI, WC, LAP, VAI, and BAI are all positively corrected to hypertension, but gender disparities should be considered in predicting hypertension by obesity indicators.

Keywords: Adiposity indicators; China; Hypertension; Multi-level model.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adiposity*
  • Adult
  • Aged
  • Anthropometry*
  • Blood Pressure*
  • China
  • Cross-Sectional Studies
  • Female
  • Health Status Disparities
  • Humans
  • Hypertension / diagnosis
  • Hypertension / epidemiology*
  • Hypertension / physiopathology
  • Male
  • Middle Aged
  • Obesity / diagnosis*
  • Obesity / epidemiology
  • Obesity / physiopathology
  • Predictive Value of Tests
  • Prevalence
  • Prognosis
  • Risk Assessment
  • Risk Factors
  • Sex Factors