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May 7, 2026Journal of Clinical Hypertension1 citationsOpen Access

Potential Value of Weight‐Adjusted Waist Circumference Index in Estimating the Prevalence of Prehypertension and Hypertension in an Elderly Chinese Population

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RZRuoyu ZhuZDZhi DuXLXuanhan Lin

Key Points

  • The aim is to determine the correlation between weight-adjusted waist index and prehypertension and hypertension.
  • Cross-sectional study conducted in Zhejiang Province with 4885 participants.
  • Utilized logistic regression models and penalized spline functions for analysis.
  • Performed category-free analysis to assess WWI's estimation ability for hypertension.
  • Each standard deviation increase in WWI is associated with a 29% increased risk of prehypertension and a 50% increased risk of hypertension.
  • Participants in the highest WWI quartile showed a significant increase in hypertension risk (2.47) compared to the lowest quartile.
  • Adding WWI to traditional models improved predictive ability for prehypertension and hypertension.

Abstract

To determine the correlation between weight-adjusted-waist index (WWI) with prehypertension and hypertension in the general population. This cross-sectional study was conducted from September 13, 2023 to November 30, 2023 and included 4885 permanent residents in Zhejiang Province. The association between WWI with prehypertension and hypertension was carefully evaluated using logistic regression models and penalized spline functions. The category-free analysis was performed to corroborate whether WWI enhanced the ability to estimate prehypertension and hypertension. Multivariable logistic regression indicated that after adjustment for conventional risk factors, each standard deviation increase in WWI levels was associated with a 29% and 50% increased risk of prehypertension (hazard ratio, 1.29; 95% confidence interval, 1.14-1.45) and hypertension (1.50; 1.34-1.68), respectively. Referring to the participants in the lowest quartile of WWI, those in the highest quartile had a significantly increased risk of prehypertension (1.64; 1.17-2.30) and hypertension (2.47; 1.80-3.39). Smoothing curve fitting and trend logistic regression suggested a linear positive correlation, and the robustness of these findings was observed in interaction tests and subgroup analyses. The category-free analysis suggested that adding WWI levels to the traditional model ultimately improved the predictive ability of prehypertension and hypertension. The results of this study confirmed the significant correlation between WWI with prehypertension and hypertension, independent of conventional risk factors. More importantly, these findings suggested the potential usefulness of WWI levels to improve the risk stratification of hypertension and prehypertension.

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Cite This Study

Zhu et al. (2026) studied this question.

synapsesocial.com/papers/69fbefef164b5133a91a404chttps://doi.org/10.1111/jch.70270
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