Clinical Original Article
Predictive value of anthropometric indicators for cardiovascular risk in metabolic syndrome
Lu Qiyun, Li Anxiang, Chen Benjian, Liang Qingshun, Fan Guanjie, Tao Yiming, Zhang Ronghua, Dai Fangfang, Hu Xiaoling, Liu Yunwei, He Yingxiao, Zhu Ying, Liu Zhenjie
Published 2023-01-25
Cite as Chin J Endocrinol Metab, 2023, 39(1): 26-33. DOI: 10.3760/cma.j.cn311282-20220901-00512
Abstract
ObjectiveTo evaluate the predictive value of anthropometric indicators in predicting cardiovascular risk in the population with metabolic syndrome(MS).
MethodsA 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/m2 and 24.36 kg/m2; the optimal cut points of VFI were 10.25 and 9.75; the optimal cut points of AVI were 17.3 cm2 and 15.53 cm2, 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/m2, and the optimal cut point of AVI in women was 18.08 cm2.
ConclusionBMI, 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.
Key words:
Anthropometric measures; Diagnostic prediction; Metabolic syndrome; Cardiovascular risk
Contributor Information
Lu Qiyun
Department of Endocrindogy, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
Li Anxiang
Department of Endocrindogy, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
Chen Benjian
Department of Endocrindogy, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
Liang Qingshun
Department of Endocrindogy, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
Fan Guanjie
Department of Endocrindogy, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
Tao Yiming
Department of Endocrindogy, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
Zhang Ronghua
Department of TCM, Pharmacy College of Jinan University, Guangzhou 510632, China
Dai Fangfang
Department of Endocrindogy, Jiangsu Province Hospital of TCM, Nanjing 210000, China
Hu Xiaoling
Department of Geriatrics, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China
Liu Yunwei
The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China
He Yingxiao
The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China
Zhu Ying
Department of Endocrindogy, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China
Liu Zhenjie
Department of Endocrindogy, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China