Predictive value of anthropometric indicators for cardiovascular risk in metabolic syndrome
10.3760/cma.j.cn311282-20220901-00512
- VernacularTitle:人体测量指标对代谢综合征心血管风险的预测价值
- Author:
Qiyun LU
1
;
Anxiang LI
;
Benjian CHEN
;
Qingshun LIANG
;
Guanjie FAN
;
Yiming TAO
;
Ronghua ZHANG
;
Fangfang DAI
;
Xiaoling HU
;
Yunwei LIU
;
Yingxiao HE
;
Ying ZHU
;
Zhenjie LIU
Author Information
1. 广东省中医院内分泌科，广州 510120
- Keywords:
Anthropometric measures;
Diagnostic prediction;
Metabolic syndrome;
Cardiovascular risk
- From:
Chinese Journal of Endocrinology and Metabolism
2023;39(1):26-33
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the predictive value of anthropometric indicators in predicting cardiovascular risk in the population with metabolic syndrome(MS).Methods:A cross-sectional study was used to analyze the correlation between anthropometric measures and cardiovascular risk in subjects with MS. Cardiometabolic risk was assessed with cardiometabolic risk index(CMRI). Receiver operating characteristic(ROC) curve analysis was used to assess the predictive power of anthropometric measures for cardiometabolic risk.Results:(1) The anthropometric measures [body mass index(BMI), waist-hip ratio(WHR), waist-to-height ratio(WtHR), body fat percentage(BFP), visceral fat index(VFI), conicity index(CI), a body shape index(ABSI), body roundness index(BRI), abdominal volume index(AVI)] in the MS group were significantly higher than those in the non-MS group( P<0.05). Moreover, there were significant differences in CMRI score and vascular risk between the two groups( P<0.05). (2) Logistic regression analysis showed that the cardiovascular risk was increased with the increases of BMI, VFI, WHR, WtHR, CI, BRI, and AVI after adjusting for confounding factors in the overall population, the non-MS population, and the MS population( P<0.05). (3) In the ROC analysis, the AUC values of BMI, VFI, and AVI were 0.767, 0.734, and 0.770 in the overall population; 0.844, 0.816, and 0.795 in the non-MS population; 0.701, 0.666, and 0.702 in the MS population, respectively. For the overall population and non-MS population, the optimal cut points of BMI to diagnose high cardiovascular risk were 26.04 kg/m 2 and 24.36 kg/m 2; the optimal cut points of VFI were 10.25 and 9.75; the optimal cut points of AVI were 17.3 cm 2 and 15.53 cm 2, respectively. In the MS population, the optimal cut point as a predictor of high cardiovascular risk in young and middle-aged men with MS was 27.63 kg/m 2, and the optimal cut point of AVI in women was 18.08 cm 2. Conclusion:BMI, VFI, and AVI can be used as predictors of cardiovascular risk in the general population. BMI can be used as a predicator of high cardiovascular risk in young and middle-age men with MS. AVI can be used as a predicator of high cardiovascular risk in women with MS.
