[Correlation between percentage of body fat and simple anthropometric parameters in children aged 6-9 years in

H C Yan1, Y T Hao1, Y F Guo2

  • 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.

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