The predictive value of anthropometric indices for cardiometabolic risk factors in Chinese children and adolescents: A national multicenter school-based study

PLoS One. 2020 Jan 21;15(1):e0227954. doi: 10.1371/journal.pone.0227954. eCollection 2020.

Abstract

Objectives: This study aimed to assess the accuracy of body mass index (BMI) percentile, waist circumference (WC) percentile, waist-height ratio, and waist-hip ratio for identifying cardiometabolic risk factors in Chinese children and adolescents stratified by sex and BMI categories.

Methods: We measured anthropometric indices, fasting plasma glucose, lipid profile and blood pressure for 15698 participants aged 6-17 in a national survey between September and December 2013. The predictive accuracy of anthropometric indices for cardiometabolic risk factors was examined using receiver operating characteristic (ROC) analyses. The DeLong test and Z test were used for the comparisons of areas under ROC curves (AUCs).

Results: The prevalence of impaired fasting glucose, dyslipidemia, hypertension and cluster of risk factors were 2.9%, 27.3%, 10.5% and 5.7% respectively. The four anthropometric indices showed poor to fair discriminatory ability for cardiometabolic risk factors with the AUCs ranging from 0.53-0.72. Each index performed significantly better AUCs for dyslipidemia (0.59-0.63 vs. 0.56-0.59), hypertension (0.62-0.70 vs. 0.55-0.65) and clustered risk factors (0.70-0.73 vs. 0.60-0.64) in boys than that in girls. BMI percentile performed the best accuracy for hypertension in both sexes; WC percentile had the highest AUC for dyslipidemia and BMI percentile and waist-height ratio performed similarly the best AUCs for clustered risk factors in boys while BMI percentile, WC percentile and waist-height ratio performed similar and better AUCs for dyslipidemia and clustered risk factors in girls; whereas waist-hip ratio was consistently the poorest predictor for them regardless of sex. Though the anthropometric indices were more predictive of dyslipidemia, hypertension and clustered risk factors in overweight/obese group compared to their normal BMI peers, the AUCs in overweight/obese group remained in the poor range below 0.70.

Conclusions: Anthropometric indices are not effective screening tools for pediatric cardiometabolic risk factors, even in overweight/obese children.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Body Weights and Measures / methods*
  • Cardiovascular Diseases / prevention & control*
  • Child
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Risk Assessment
  • Risk Factors

Grants and funding

This study was supported by the research special fund for public welfare industry of health of the Ministry of Health of China (Grant No. 201202010). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.