Predicting Body Fat Percentage from Anthropometric Measurements in Asian Athletes.

Journal of science in sport and exercise Pub Date : 2024-11-01 Epub Date: 2023-06-12 DOI:10.1007/s42978-023-00231-2

Liyan Huang, Cheryl Jia Hui Teo, Yuanyuan Luan, Carmen D Tekwe

{"title":"Predicting Body Fat Percentage from Anthropometric Measurements in Asian Athletes.","authors":"Liyan Huang, Cheryl Jia Hui Teo, Yuanyuan Luan, Carmen D Tekwe","doi":"10.1007/s42978-023-00231-2","DOIUrl":null,"url":null,"abstract":"Purpose: 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.Methods: We collected data from two samples of athletes on Singaporean national teams. With the first sample (n = 95), we developed an equation to predict BF%, and then tested the equation in the second sample (n = 21). We used backward stepwise regression and the Akaike information criteria (AIC) to determine the final equation.Results: Triceps, subscapular, front thigh, and (natural log of) abdominal skinfold thicknesses, waist circumference, and female sex were positively associated with BF% (P < 0.05).Conclusion: 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.","PeriodicalId":73941,"journal":{"name":"Journal of science in sport and exercise","volume":" ","pages":"368-377"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11737617/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of science in sport and exercise","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s42978-023-00231-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/12 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

Purpose: 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.

Methods: We collected data from two samples of athletes on Singaporean national teams. With the first sample (n = 95), we developed an equation to predict BF%, and then tested the equation in the second sample (n = 21). We used backward stepwise regression and the Akaike information criteria (AIC) to determine the final equation.

Results: Triceps, subscapular, front thigh, and (natural log of) abdominal skinfold thicknesses, waist circumference, and female sex were positively associated with BF% (P < 0.05).

Conclusion: 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.

查看原文本刊更多论文

从人体测量预测亚洲运动员的体脂百分比

目的：研究人员根据北美和欧洲运动员的皮褶厚度预测了双能x射线吸收仪（DXA）所显示的体脂率（BF%），而不是来自其他地区的运动员。我们试图用DXA作为参考方法，从亚洲优秀运动员的皮褶厚度和周长测量中估计一个预测BF%的方程。方法：我们收集了两个新加坡国家队运动员样本的数据。对于第一个样本（n = 95），我们开发了一个预测BF%的方程，然后在第二个样本（n = 21）中测试了该方程。我们使用逐步回归和赤池信息准则（AIC）来确定最终方程。结果：肱三头肌、肩胛骨下、大腿前方、腹部皮褶厚度（自然对数）、腰围、女性性别与BF%呈正相关（P < 0.05）。结论：我们的人体测量预测BF%的公式是第一个基于亚洲运动员的公式。如果没有DXA，这个公式可以帮助从业者估计亚洲运动员的BF%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of science in sport and exercise

自引率

0.00%

发文量