Authors
Jian-Fang Zhang, Haiyan Lu, Xiangwei Ding, Chuanmeng Zhang, Qingqing Zhang, Qingtao Ni, Hong Xu, Peng Gao, Jing Zheng, Suyun Jiang, Si Sun, Guoyu Wang
Published in
Clinical and experimental hypertension (New York, N.Y. : 1993). Volume 48. Issue 1. Pages 2744634. Dec 31, 2026. Epub Oct 09, 2026.
Abstract
The Chinese visceral adiposity index (CVAI) has been shown to be a practical indicator of visceral adiposity, but its association with prevalent hypertension in older adults remains unclear. This study aimed to investigate the association between CVAI and prevalent hypertension and to compare the discriminatory ability of CVAI with conventional obesity indicators among older adults in rural China.
This cross-sectional study included 3,280 adults aged 65 years or older who were recruited in Baima Town, Taizhou, China, in 2025. Logistic regression models with progressive adjustment were used to evaluate the association between CVAI and prevalent hypertension. Restricted cubic spline (RCS) analysis was performed to assess the dose-response relationship. Subgroup and sensitivity analyzes were conducted to examine the robustness of the findings. Receiver operating characteristic (ROC) curve analyzes were performed to compare the discriminatory ability of CVAI with body mass index (BMI) and waist circumference (WC).
Of the 3,280 participants, 2,692 (82.1%) had hypertension. Participants with hypertension had higher CVAI values than those without hypertension [108.35 (79.80-134.24) vs 86.34 (55.72-112.39), P < 0.001]. After full adjustment, each 10-unit and 1-standard deviation increase in CVAI was associated with higher odds of prevalent hypertension (OR = 1.143, 95% CI:1.114-1.173 and OR = 1.709, 95% CI:1.528-1.915, respectively; both P < 0.001). RCS analysis demonstrated a positive association between CVAI and prevalent hypertension, with no evidence of significant nonlinearity (P for nonlinearity = 0.153).
CVAI was independently associated with prevalent hypertension among older adults in rural China. CVAI may provide information for cardiometabolic risk assessment among older adults in rural China.
PMID:
42853626
Bibliographic data and abstract were imported from PubMed on 10 Oct 2026.
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