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首页> 外文期刊>American Journal of Sports Science and Medicine >Equivalence Reliability and Convergent Validity of Percent Body Fat Prediction Equations
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Equivalence Reliability and Convergent Validity of Percent Body Fat Prediction Equations

机译：体脂预测百分比方程的等价可靠性和收敛性

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Background: The fitness professional may often benefit from the use of a simple equation in determining a health outcome for an individual in lieu of a more complicated or expensive procedure. Therefore, the purpose of this study was to examine the reliability and validity of several standard prediction equations for percent body fat (PBF). Methods: Data used for this study came from a body composition assessment of N = 131 college students. Five different PBF prediction equations were used, with body mass index (BMI), age, and sex as inputs for each (PBFEQ1 thru PBFEQ5). Additionally, PBF using a bioelectric impedance (BIA) handheld device (PBFHH) was measured for each participant. Equivalence reliability was examined across the five PBF prediction equations using different analysis of variance (ANOVA) models of the intraclass correlation coefficient (ICC). Convergent validity between the prediction equations and PBFHH was determined by examining Pearson correlation coefficients and Bland and Altman limits of agreement (LOA). Reliability and validity was also examined for obesity classification using the Kappa statistic. Results: Reliability across the five PBF prediction equations was excellent for all ICC models in both female (ICCs > .985) and male (ICCs > .976) analyses. PBFHH scores adequately converged with scores from each prediction equation in both female (rs > .913) and male (rs > .817) analyses. LOA between PBFHH and PBFEQ5 indicate small to moderate bias of 4.0 ± 5.1% and 4.7 ± 7.9% in female and male analyses, respectively. Finally, reliability and validity of the prediction equations to classify participants into obese and non-obese categories ranged from moderate to almost perfect. Conclusion: This study provides psychometric evidence supporting the use of PBF prediction equations in a college student population.
机译：背景：健身专业人员通常可以通过使用简单的公式来确定个人的健康结局，而不是使用更复杂或更昂贵的程序。因此，本研究的目的是检验几种标准的人体脂肪百分比（PBF）预测方程的可靠性和有效性。方法：本研究使用的数据来自N = 131名大学生的身体成分评估。使用了五个不同的PBF预测方程，其中体重指数（BMI），年龄和性别分别作为输入（PBFEQ1至PBFEQ5）。此外，针对每个参与者测量了使用生物电阻抗（BIA）手持设备（PBFHH）的PBF。使用组内相关系数（ICC）的不同方差分析（ANOVA）模型，对五个PBF预测方程式的等效可靠性进行了检查。预测方程与PBFHH之间的收敛效度是通过检查Pearson相关系数以及Bland和Altman一致性极限（LOA）来确定的。还使用Kappa统计量检查了肥胖分类的信度和效度。结果：在女性（ICC> .985）和男性（ICC> .976）分析中，对于所有ICC模型，五个PBF预测方程式的可靠性都非常好。在女性（rs> .913）和男性（rs> .817）分析中，PBFHH得分与每个预测方程的得分充分收敛。 PBFHH和PBFEQ5之间的LOA表明，在女性和男性分析中，偏倚分别为4.0±5.1％和4.7±7.9％。最后，将参与者分为肥胖和非肥胖类别的预测方程的信度和效度从中等到几乎完美。结论：这项研究提供了心理学上的证据，支持在大学生群体中使用PBF预测方程。

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