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：3
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 CollegiateAthletes. 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 forIntercollegiate Athletics participated in the study. Height and weight were taken for each subject to determine BMI. Three regressionequations for estimating BF% based on BMI previously developed by Deurenberg et al. (DBMI-BF), Gallagher et al. (GBMI-BF), andJackson 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 ofagreement 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