80. Prediction equation for estimating percentage body fat in adults using anthropometric indices
Main Article Content
Abstract
The prevalence of obesity among adults in Ho Chi Minh City is increasing. Percentage body fat (PBF) is a key indicator for assessing obesity and related health conditions. Dual-energy X-ray absorptiometry (DXA) is considered the “gold standard” for measuring body composition, but its high cost and limited accessibility hinder widespread community use. This study aimed to develop predictive equations for estimating PBF using anthropometric indicators. A cross-sectional study was conducted on 248 adults aged ≥ 18 at Pham Ngoc Thach University of Medicine in 2024. Anthropometric measurements were averaged from two repeated assessments, and PBF was measured using DXA. Statistical tests and multivariable linear regression models were applied with a significance threshold of p < 0.05. The optimal model for estimating PBF in males included height, hip circumference (HC), age group, and waist-to-hip ratio (WHR) (adjusted R² = 0.5666; RMSE = 3.46), while the model for females included HC, mid-upper arm circumference (MUAC), and WHR (adjusted R² = 0.5522; RMSE = 2.72).
Article Details
Keywords
Obesity, percent body fat, DXA
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