Zhou Peizhen, Liu Wei, Sun Kangning, Zhao Zekun, Zhu Wenqian, Zhang Jing, Wang Wenjun
Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan, 063210, China.
Weifang Nursing Vocational College, No. 9966 Yunmenshan South Road, Qingzhou, 262500, China.
Diabetol Metab Syndr. 2025 Apr 7;17(1):118. doi: 10.1186/s13098-025-01679-8.
Metabolic syndrome (MetS) is increasingly viewed as a pressing concern for public health globally. The objective of this study was to compare the predictive ability of 17 anthropometric indices for the risk of MetS in Chinese residents, to explore the differences in the predictive effect of the indices between different sexes, and to identify the optimal predictive indices of MetS for men and women.
This research utilized a cross-sectional study involving 5479 residents in Shandong Province, China. According to the subjects' working curve (ROC), TyG-WHtR, TyG-WC, METS-VF, CVAI, and LAP with the area under the curve (AUC) greater than 0.850 were included in the follow-up. To explore the associations between indices and the prevalence of MetS, three logistic regression models were employed. The dose-response relationship between the indices and the risk of MetS was performed by the Restricted cubic spline (RCS) curves.
The prevalence of MetS in this study is approximately 45.56%. The multivariate logistic regression showed the predictive capacity of the TyG-WC and METS-VF for MetS was superior in males, while only METS-VF in females. Furthermore, there is a non-linear relationship between MTES-VF and MetS risk both in men and women (non-linearity p < 0.001). The potential for the risk of MetS increased when the METS-VF exceeded 6.67 in males or 6.30 in females. In addition, in the male population, TyG-WC is non-linearly related to MetS risk (non-linear p < 0.001), and the risk of MetS may increase when TyG-WC is higher than 750.40.
TyG-WC and METS-VF have a good predictive value for the risk of MetS in the Chinese male population, with TyG-WC being better than METS-VF. For females, METS-VF could be regarded as the most reliable indicator.
代谢综合征（MetS）日益被视为全球公共卫生的紧迫问题。本研究的目的是比较17种人体测量指标对中国居民患MetS风险的预测能力，探讨这些指标在不同性别中的预测效果差异，并确定男性和女性MetS的最佳预测指标。
本研究采用横断面研究，涉及中国山东省的5479名居民。根据受试者工作曲线（ROC），曲线下面积（AUC）大于0.850的TyG-WHtR、TyG-WC、METS-VF、CVAI和LAP被纳入随访。为了探讨指标与MetS患病率之间的关联，采用了三个逻辑回归模型。指标与MetS风险之间的剂量反应关系通过受限立方样条（RCS）曲线进行分析。
本研究中MetS的患病率约为45.56%。多因素逻辑回归显示，TyG-WC和METS-VF对男性MetS的预测能力较强，而对女性而言，只有METS-VF具有较强预测能力。此外，男性和女性的MTES-VF与MetS风险之间均存在非线性关系（非线性p<0.001）。当男性的METS-VF超过6.67或女性超过6.30时，MetS风险增加。此外，在男性人群中，TyG-WC与MetS风险呈非线性相关（非线性p<0.001），当TyG-WC高于750.40时，MetS风险可能增加。
TyG-WC和METS-VF对中国男性人群患MetS风险具有良好的预测价值，其中TyG-WC优于METS-VF。对于女性，METS-VF可被视为最可靠的指标。
