Liyan Huang, Cheryl Jia Hui Teo, Yuanyuan Luan, Carmen D Tekwe
{"title":"从人体测量预测亚洲运动员的体脂百分比","authors":"Liyan Huang, Cheryl Jia Hui Teo, Yuanyuan Luan, Carmen D Tekwe","doi":"10.1007/s42978-023-00231-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>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.</p><p><strong>Methods: </strong>We collected data from two samples of athletes on Singaporean national teams. With the first sample (<i>n</i> = 95), we developed an equation to predict BF%, and then tested the equation in the second sample (<i>n</i> = 21). We used backward stepwise regression and the Akaike information criteria (AIC) to determine the final equation.</p><p><strong>Results: </strong>Triceps, subscapular, front thigh, and (natural log of) abdominal skinfold thicknesses, waist circumference, and female sex were positively associated with BF% (<i>P</i> < 0.05).</p><p><strong>Conclusion: </strong>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.</p>","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":"{\"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\":\"<p><strong>Purpose: </strong>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.</p><p><strong>Methods: </strong>We collected data from two samples of athletes on Singaporean national teams. With the first sample (<i>n</i> = 95), we developed an equation to predict BF%, and then tested the equation in the second sample (<i>n</i> = 21). We used backward stepwise regression and the Akaike information criteria (AIC) to determine the final equation.</p><p><strong>Results: </strong>Triceps, subscapular, front thigh, and (natural log of) abdominal skinfold thicknesses, waist circumference, and female sex were positively associated with BF% (<i>P</i> < 0.05).</p><p><strong>Conclusion: </strong>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.</p>\",\"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}","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}
Predicting Body Fat Percentage from Anthropometric Measurements in Asian Athletes.
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.
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