Predicting Metabolic Syndrome Using Anthropometric Indices among Chinese Adolescents with Different Nutritional Status: A Multicenter Cross-sectional Study.

Ya Mei LI; Zhi Yong Zou; Ying Hua MA; Jia You Luo; Jin Jing; Xin Zhang; Chun Yan Luo; Hong Wang; Hai Ping Zhao; De Hong Pan; Mi Yang Luo

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Predicting Metabolic Syndrome Using Anthropometric Indices among Chinese Adolescents with Different Nutritional Status: A Multicenter Cross-sectional Study.

Author: Ya Mei LI ¹ ; Zhi Yong ZOU ² ; Ying Hua MA ² ; Jia You LUO ¹ ; Jin JING ³ ; Xin ZHANG ⁴ ; Chun Yan LUO ⁵ ; Hong WANG ⁶ ; Hai Ping ZHAO ⁷ ; De Hong PAN ⁸ ; Mi Yang LUO ¹
Author Information

1. Xiangya School of Public Health, Central South University, Changsha 410008, Hunan, China.
2. Institute of Child and Adolescent Health, Peking University School of Public Health, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China.
3. Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
4. School of Public Health, Tianjin Medical University, Tianjin 300070, China.
5. Department of School Health, Shanghai Municipal Center for Disease Control and Prevention & Shanghai Institutes of Preventive Medicine, Shanghai 200336, China.
6. School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
7. School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, Ningxia, China.
8. Liaoning Health Supervision Bureau, Shenyang 110000, Liaoning, China.
Publication Type:Multicenter Study
Keywords: Adolescents; Anthropometry; Body mass index; Metabolic syndrome; Waist circumference; Waist-height ratio; Waist-hip ratio
MeSH: Adolescent; Asians; Body Weights and Measures; Child; China; Cross-Sectional Studies; Female; Humans; Male; Metabolic Syndrome/diagnosis*; Nutritional Status; Randomized Controlled Trials as Topic
From: Biomedical and Environmental Sciences 2021;34(9):673-682
CountryChina
Language:English
Abstract: Objective:To evaluate the predictive performance of anthropometric indices for metabolic syndrome (MetS) among Chinese adolescents with different nutritional status.
Methods:We recruited 9,513 adolescents aged 10-18 years from seven provinces in China during September 2014. Anthropometric indices and blood pressure were measured at recruitment, and blood samples were collected for determining fasting plasma glucose and lipid profile. Receiver operating characteristic (ROC) analyses were used to assess the predictive performance of anthropometric indices, including body mass index (BMI) percentile, waist circumference percentile, waist-height ratio, and waist-hip ratio.
Results:Overall, the four anthropometric indices showed good accuracy for predicting MetS with areas under ROC curves (AUCs) ranging from 0.86 to 0.94; similar AUCs ranging from 0.73 to 0.99 were observed for participants with normal weight. The performance of all four indices was poor in overweight and obese participants, with AUCs ranging from 0.66 to 0.77 and from 0.60 to 0.67, respectively. Waist circumference showed relatively better performance in all the subgroup analyses.
Conclusions:We suggest using anthropometric indices with the cutoff values presented here for predicting MetS in the overall and normal-weight adolescent population, but not in the overweight and obese adolescent population where more specific screening tests are required.