文章基本信息

标题：Cross-Validation of BMI-Based Equations for Predicting Percent Body Fat in Female Collegiate Athletes
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作者：Michael R. Esco ; Michael R. Esco ; Henry N. Williford 等
期刊名称：Journal of exercise physiology online
印刷版ISSN：1097-9751
出版年度：2011
卷号：14
期号：4
页码：43-52
语种：English
出版社：American Society of Exercise Physiologists
摘要：Esco MR, Williford WN, Russell AR. Cross-Validation of BMI-Based Equations for Predicting Percent Body Fat in Female Collegiate Athletes. JEPonline 2011;14(3):43-52. The purpose of this study was to cross-validate three body mass index (BMI) based equations for predicting body fat percentage (BF%) in college-age female athletes. Seventy-five female athletes from the National Association for Intercollegiate Athletics participated in the study. Height and weight were taken for each subject to determine BMI. Three regression equations for estimating BF% based on BMI previously developed by Deurenberg et al. (DBMI-BF), Gallagher et al. (GBMI-BF), and Jackson et al. (JBMI-BF) were used in the study. Dual energy X-ray absorptiometry (DEXA) was used to obtain the criterion BF% values. The results showed no significant difference (P > 0.05) in mean BF% values between 2 of the BMI-based BF% (DBMI-BF = 27.7 ± 2.9%, JBMI-BF = 28.4 ± 4.7%) equations versus DEXA (27.7 ± 6.2%), while GBMI-BF (30.2 ± 4.7%) was significantly (P < 0.05) higher compared to the criterion. The standard error of estimate ranged from 4.53% to 4.82%, total error ranged from 4.67% to 5.41%, and the limits of agreement ranged from approximately 12.1% above to 9.4% below the DEXA BF% values for each equation. Due to the findings of this investigation, BMI-based BF% equations could potentially be utilized within a field setting to predict mean BF% for an entire group of female athletes, but would not be appropriate for predicting BF% for individuals. Thus, extreme caution must be taken when using the BMIbased BF% equations to estimate BF% for this population.
关键词：Body Composition;Women;Dual X-Ray Absorptiometry