Meghan K Magee, Jennifer B Fields, Angela Miller, Andrew R Jagim, Debra Stroiney, Brittanie Lockard, Margaret T Jones
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Thirty athletes were randomly withheld for the hold-out sample, and the remaining 100 athletes were used in the development of the equation. Body composition was evaluated using ADP and DXA. Linear regression was used to develop a new prediction equation (Equation 1) with body density (ADP) as the independent variable and BF% (DXA) as the dependent variable. Repeated measures analysis of variance was used to identify differences between ADP-Brozek, DXA, and Equation 1. Interclass correlation coefficients (ICCs) were assessed to evaluate the reliability of the equation.</p><p><strong>Results: </strong>Significance was set to <i>p</i> < 0.05. Linear regression was conducted to create Equation 1, which explained 90.5% of the variance. ADP-Brozek reported lower BF% than Equation 1 (<i>p</i> < 0.001) in the development and hold-out samples; however, BF% from Equation 1 and DXA were not different from each other (<i>p</i> = 0.999). ICCs were strong in both samples (original sample: ICC = 0.975, <i>p</i> < 0.001; hold-out sample: ICC = 0.964, <i>p</i> < 0.001).</p><p><strong>Conclusion: </strong>The newly proposed equation may be used with ADP measurements to interpret BF% in an athletic population.</p>","PeriodicalId":17400,"journal":{"name":"Journal of the International Society of Sports Nutrition","volume":"22 1","pages":"2504578"},"PeriodicalIF":3.9000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12120859/pdf/","citationCount":"0","resultStr":"{\"title\":\"A new estimation equation to assess body composition in an athletic population.\",\"authors\":\"Meghan K Magee, Jennifer B Fields, Angela Miller, Andrew R Jagim, Debra Stroiney, Brittanie Lockard, Margaret T Jones\",\"doi\":\"10.1080/15502783.2025.2504578\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Research has shown air displacement plethysmography (ADP) to be a valid and reliable alternative to dual-energy X-ray absorptiometry (DXA) in the general population; however, its validity and reliability indicate conflicting evidence in an athletic population. The purpose of this study is to develop a novel estimation equation using body density obtained from ADP in an athletic population to assess body fat percent (BF%) more accurately.</p><p><strong>Methods: </strong>One hundred and thirty (males, <i>n</i> = 69; females, <i>n</i> = 61) National Collegiate Athletic Association Division I athletes participated in this study. Thirty athletes were randomly withheld for the hold-out sample, and the remaining 100 athletes were used in the development of the equation. Body composition was evaluated using ADP and DXA. Linear regression was used to develop a new prediction equation (Equation 1) with body density (ADP) as the independent variable and BF% (DXA) as the dependent variable. Repeated measures analysis of variance was used to identify differences between ADP-Brozek, DXA, and Equation 1. 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引用次数: 0
摘要
背景:研究表明,在普通人群中,空气置换容积脉搏波(ADP)是双能x线吸收仪(DXA)的有效和可靠的替代方法;然而,其有效性和可靠性在运动人群中表明了相互矛盾的证据。本研究的目的是建立一个新的估计方程,利用从ADP中获得的体密度在运动人群中更准确地评估体脂率(BF%)。方法:130名男性,n = 69;女,n = 61)参加本研究的是全国大学生体育协会一级运动员。30名运动员被随机抽取作为保留样本,剩下的100名运动员被用于方程的开发。采用ADP和DXA评价体成分。采用线性回归方法,以体密度(ADP)为自变量,BF% (DXA)为因变量,建立新的预测方程(式1)。使用重复测量方差分析来识别ADP-Brozek、DXA和方程1之间的差异。评估类间相关系数(ICCs)来评估方程的可靠性。结果:显著性为p p = 0.999)。两个样本的ICCs都很强(原始样本:ICC = 0.975, p p)。结论:新提出的方程可以与ADP测量一起用于解释运动人群的BF%。
A new estimation equation to assess body composition in an athletic population.
Background: Research has shown air displacement plethysmography (ADP) to be a valid and reliable alternative to dual-energy X-ray absorptiometry (DXA) in the general population; however, its validity and reliability indicate conflicting evidence in an athletic population. The purpose of this study is to develop a novel estimation equation using body density obtained from ADP in an athletic population to assess body fat percent (BF%) more accurately.
Methods: One hundred and thirty (males, n = 69; females, n = 61) National Collegiate Athletic Association Division I athletes participated in this study. Thirty athletes were randomly withheld for the hold-out sample, and the remaining 100 athletes were used in the development of the equation. Body composition was evaluated using ADP and DXA. Linear regression was used to develop a new prediction equation (Equation 1) with body density (ADP) as the independent variable and BF% (DXA) as the dependent variable. Repeated measures analysis of variance was used to identify differences between ADP-Brozek, DXA, and Equation 1. Interclass correlation coefficients (ICCs) were assessed to evaluate the reliability of the equation.
Results: Significance was set to p < 0.05. Linear regression was conducted to create Equation 1, which explained 90.5% of the variance. ADP-Brozek reported lower BF% than Equation 1 (p < 0.001) in the development and hold-out samples; however, BF% from Equation 1 and DXA were not different from each other (p = 0.999). ICCs were strong in both samples (original sample: ICC = 0.975, p < 0.001; hold-out sample: ICC = 0.964, p < 0.001).
Conclusion: The newly proposed equation may be used with ADP measurements to interpret BF% in an athletic population.
期刊介绍:
Journal of the International Society of Sports Nutrition (JISSN) focuses on the acute and chronic effects of sports nutrition and supplementation strategies on body composition, physical performance and metabolism. JISSN is aimed at researchers and sport enthusiasts focused on delivering knowledge on exercise and nutrition on health, disease, rehabilitation, training, and performance. The journal provides a platform on which readers can determine nutritional strategies that may enhance exercise and/or training adaptations leading to improved health and performance.