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Updated: Feb 18, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
[Correlation between percentage of body fat and simple anthropometric parameters in children aged 6-9 years in
1Department of Nutrition and Food Hygiene, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Insights
Body mass index (BMI) accurately identifies childhood obesity in Guangzhou. This study found BMI to be the best predictor of body fat percentage (BF%) in children aged 6-9 years.
Area of Science:
- Pediatric Endocrinology
- Nutritional Science
- Public Health
Background:
- Childhood obesity is a growing global health concern.
- Accurate anthropometric measures are crucial for early diagnosis and intervention.
- Simple, cost-effective screening tools are needed for pediatric populations.
Purpose of the Study:
- To assess the diagnostic accuracy of simple anthropometric parameters for obesity in Guangzhou children.
- To compare the effectiveness of Body Mass Index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) against body fat percentage (BF%).
Main Methods:
- A cross-sectional study involving 465 children aged 6-9 years in Guangzhou.
- Measurements included height, weight, WC, and hip circumference; BMI, WHR, and WHtR were calculated.
- Body fat percentage (BF%) determined by dual-energy X-ray absorptiometry; Receiver Operating Characteristic (ROC) curve analysis used.
Main Results:
- Body Mass Index (BMI) demonstrated the strongest correlation with BF% in both boys and girls.
- BMI achieved the highest Area Under the ROC Curve (AUC) values (0.908 for boys, 0.895 for girls).
- Waist-to-height ratio (WHtR) and waist circumference (WC) had AUCs < 0.8, while WHR showed the lowest accuracy.
Conclusions:
- Body Mass Index (BMI) is a reliable and accurate predictor of body fat percentage in children aged 6-9 years in Guangzhou.
- Simple anthropometric measurements like BMI can effectively screen for obesity in pediatric populations.
- Further research may explore optimal cut-off points for BMI in diverse ethnic groups.
Abstract:
Objective: To evaluate the accuracy of simple anthropometric parameters in diagnosing obesity in children in Guangzhou. Methods: A cross-sectional study, including 465 children aged 6-9 years, was carried out in Guangzhou. Their body height and weight, waist circumference (WC) and hip circumference were measured according to standard procedure. Body mass index (BMI), waist to hip ratio (WHR) and waist-to-height ratio (WHtR) were calculated. Body fat percentage (BF%) was determined by dual-energy X-ray absorptiometry. Multiple regression analysis was applied to evaluate the correlations between age-adjusted physical indicators and BF%, after the adjustment for age. Obesity was defined by BF%. Receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic accuracy of the indicators for childhood obesity. Area under-ROC curves (AUCs) were calculated and the best cut-off point that maximizing 'sensitivity + specificity-1' was determined. Results: BMI showed the strongest association with BF% through multiple regression analysis. For 'per-standard deviation increase' of BMI, BF% increased by 5.3% (t=23.1, P<0.01) in boys and 4.6% (t=17.5, P<0.01) in girls, respectively. The ROC curve analysis indicated that BMI exhibited the largest AUC in both boys (AUC=0.908) and girls (AUC=0.895). The sensitivity was 80.8% in boys and 81.8% in girls, and the specificity was 88.2% in boys and 87.1% in girls. Both the AUCs for WHtR and WC were less than 0.8 in boys and girls. WHR had the smallest AUCs (<0.8) in both boys and girls. Conclusion: BMI appeared to be a good predicator for BF% in children aged 6-9 years in Guangzhou.
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