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Utility of Anthropometric Indexes for Detecting Metabolic Syndrome in Resource-Limited Regions of Northwestern China: Cross-Sectional Study

Utility of Anthropometric Indexes for Detecting Metabolic Syndrome in Resource-Limited Regions of Northwestern China: Cross-Sectional Study

LAP showed the highest AUC for females (0.89, 95% CI 0.89‐0.90). The optimal cutoff value and its corresponding sensitivity, specificity, and Youden index can be found in Table S1 in Multimedia Appendix 1. After stratifying by age, WHt R and LAP also had the highest AUC values among all age groups (Table S2 in Multimedia Appendix 1). The AUC values of all 8 anthropometric indexes declined with age.

Danyu Yang, Ling Ma, Yin Cheng, Hongjuan Shi, Yining Liu, Chao Shi

JMIR Public Health Surveill 2024;10:e57799