Comparison of various anthropometric indices in predicting abdominal obesity in Chinese children: a cross-sectional study

Author: Chen, Gengdong; Yan, Huanchang; Hao, Yuting; Shrestha, Shiksha; Wang, Jue; Li, Yan; Wei, Yuanhuan; Pan, Jialiang; Zhang, Zheqing
Language: English
Published: 2019
Source: PubMed Central (PMC)
Online Access: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6482578/
https://doi.org/10.1186/s12887-019-1501-z
Identification number: ftpubmed:oai:pubmedcentral.nih.gov:6482578

Summary

BACKGROUND: Former evidence regarding reference values of abdominal fat percentage (AFP) and optimal anthropometric indicators in predicting abdominal obesity measured by dual-energy X-ray absorptiometry (DXA) scan in Chinese children were scarce. METHODS: A total of 452 Chinese children aged 6–9 years were included in this cross-sectional study. Abdominal fat and lean mass were measured by a DXA scan, and AFP were calculated. Anthropometric indicators including body mass index (BMI), chest circumference (CC), waist circumference (WC) and hip circumference (HC) were measured, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) was also calculated. RESULTS: By defining abdominal obesity as those with an AFP ≥ 85th percentile, the cutoffs values are 24.80, 30.29, 31.58, 31.86% in boys, and 25.02, 30.32, 31.66, 31.79% in girls, for children aged 6, 7, 8, and 9 years old, respectively. All anthropometric indicators were independently and positively associated with AFP (P all < 0.01). In girls, BMI was found to be the optimal predictors of childhood abdominal obesity. The values of area under curves (AUCs) were significantly higher (P all < 0.05) than other anthropometric indicators, except for WHtR (AUCs value: 0.886). However, in boys, WHtR instead of BMI, provided the largest AUCs value (0.922) in predicting abdominal obesity, followed by BMI ((AUCs value: 0.913). CONCLUSION: This study provides reference values of AFP measured by DXA in Chinese children aged 6–9 years. BMI and WHtR tend to be the optimal anthropometric indicators in predicting abdominal obesity in Chinese girls and boys, respectively.