Huang Liyan, Teo Cheryl Jia Hui, Luan Yuanyuan, Tekwe Carmen D
Sport Science and Sport Medicine Center, Singapore Sport Institute, Sport Singapore, Singapore, Singapore.
Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN 47403, USA.
J Sci Sport Exerc. 2024 Nov;6(4):368-377. doi: 10.1007/s42978-023-00231-2. Epub 2023 Jun 12.
Researchers have predicted body fat percentage (BF%), as indicated by dual energy X-ray absorptiometry (DXA), from skinfold thicknesses in North American and European athletes, but not athletes from other regions. We sought to estimate an equation to predict BF% in elite Asian athletes from their skinfold thickness and girth measurements, with DXA as a reference method.
We collected data from two samples of athletes on Singaporean national teams. With the first sample ( = 95), we developed an equation to predict BF%, and then tested the equation in the second sample ( = 21). We used backward stepwise regression and the Akaike information criteria (AIC) to determine the final equation.
Triceps, subscapular, front thigh, and (natural log of) abdominal skinfold thicknesses, waist circumference, and female sex were positively associated with BF% ( < 0.05).
Our equation for predicting BF% from anthropometric measurements is the first one based on Asian athletes. This equation could help practitioners estimate BF% of Asian athletes if DXA is unavailable.
研究人员已根据北美和欧洲运动员的皮褶厚度，通过双能X线吸收法（DXA）预测体脂百分比（BF%），但尚未对其他地区的运动员进行过此类研究。我们试图通过皮褶厚度和围度测量来估算一个用于预测亚洲优秀运动员BF%的方程，并以DXA作为参考方法。
我们从新加坡国家队的两个运动员样本中收集数据。对于第一个样本（n = 95），我们建立了一个预测BF%的方程，然后在第二个样本（n = 21）中对该方程进行测试。我们使用向后逐步回归和赤池信息准则（AIC）来确定最终方程。
肱三头肌、肩胛下、大腿前侧皮褶厚度以及腹部皮褶厚度的（自然对数）、腰围和女性性别与BF%呈正相关（P < 0.05）。
我们基于人体测量学指标预测BF%的方程是首个以亚洲运动员为基础建立的方程。如果无法进行DXA测量，该方程可帮助从业者估算亚洲运动员的BF%。
