AUTHOR=Lee Xiaohan , Gao Yanan , Zhang Yuting , Feng Yong , Gao Linna , Wang Aiwen , Jiang Yongbao , Huang Huiming 

TITLE=Comparison of 10 obesity-related indices for predicting hypertension based on ROC analysis in Chinese adults

JOURNAL=Frontiers in Public Health

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2022.1042236

DOI=10.3389/fpubh.2022.1042236

ISSN=2296-2565

ABSTRACT=Objective: To compare the predictive performance of the percentage body fat (PBF), body mass index (BMI), waist circumference (WC), hip circumference (HC), waist–hip ratio (WHR), waist–height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), abdominal volume index (AVI), and conicity index (CI) for identifying hypertension.
Methods: A cross-sectional study was undertaken of 2801 adults (1499 men and 1302 women) aged 18 to 81 from Ningbo city in China. Receiver operator characteristic (ROC) analyses and multiple nonparametric Z tests were used to compare the areas under the curve (AUC). The maximum Youden’s indices were used to determine the optimal cut-off points of 10 obesity-related indices (ORI) for hypertension risk.
Results: The AUC of all the indices were statistically significant (P < 0.05). The AUC of all the indices in men and women were 0.67–0.73 and 0.72–0.79, respectively. Further nonparametric Z tests showed that WHR had the highest AUC values in both men (0.73 (95% CI: 0.70, 0.76)) and women (0.79 (95% CI: 0.75, 0.83)), and several central ORI (men: WHR, WC, BRI, AVI, and CI, 0.71–0.73; women: WC, WHR, and AVI, 0.77–0.79) were higher than general ORI (PBF and BMI, 0.68 in men; 0.72–0.75 in women), with adjusted P < 0.05. The optimal cut-off points for identifying hypertension in men and women were as follows: PBF (23.55%, 32.55%), BMI (25.72 kg/m2, 23.46 kg/m2), HC (97.59 cm, 94.82 cm), WC (90.26 cm, 82.78 cm), WHR (0.91, 0.88), WHtR (0.51, 0.55), ABSI (0.08 m7/6/kg2/3, 0.08 m7/6/kg2/3), BRI (4.05, 4.32), AVI (16.31 cm2, 13.83 cm2), and CI (1.23 m2/3/kg1/2, 1.27 m2/3/kg1/2). Multivariate logistic regression models showed that all indices were statistically significant (P < 0.05) with the adjusted ORs (per 1-SD increase) at 1.39-2.06 and ORs (over the optimal cut-off points) at 1.80-2.64.
Conclusions: All 10 ORI (PBF, BMI, HC, WC, WHR, WHtR, ABSI, BRI, AVI, and CI) can effectively predict hypertension, among which WHR should be recommended as the best predictor. Central ORI (WHR, WC, and AVI) have better predictive performance than general ORI (PBF and BMI) when predicting the risk of hypertension.