Grams Annika C, Acevedo Anthony M, Price Payton, Alvarez Kyli, Nowlen Malia, Morton Riley, Campa Estephania, Zeigler Zachary S
College of Science, Engineering, and Technology, Grand Canyon University, Phoenix, AZ, USA.
Int J Exerc Sci. 2024 Jan 1;16(4):1487-1498. doi: 10.70252/CJWQ8241. eCollection 2023.
Body mass index (BMI) is moderately correlated with %Fat and often used to assess obesity in athletes. Limited research assesses BMI as a surrogate for %Fat in female collegiate athletes. Body Adiposity Index (BAI) is an anthropometric measurement suggested to be superior to BMI at predicting adiposity but has not been well assessed within female athletic populations. This study aimed to determine if BAI is superior to other anthropometric indices to predict %Fat in female collegiate athletes and college-aged female non-athletes. Collegiate female athletes and female non-athletes were invited into the laboratory for anthropometrics and %Fat measurements via BOD POD. BAI was calculated as Hip Circumference/Height - 18. Eighty-eight female non-athletes and 72 female athletes from soccer ( = 27), softball ( = 28), and basketball ( = 17) completed the study. Using BMI, 19% of non-athletes had a false positive (FP). Sensitivity of BMI in non-athletes was 85.5%, while specificity was 73%. 16% of athletes had a FP. Sensitivity of BMI within athletes was 100%, specificity was 81%. BMI outperformed BAI in athletic (BMI: = .725, < .001; BAI: = .556, < .001) and nonathletic (BMI: = .650, < .001; BAI: = .499, < .001) groups. The strongest anthropometric predictor of %Fat within the non-athlete population was BMI ( = .42, < .001). Waist circumference was the strongest predictor in the athletic population ( = .62, < .001). BMI outperformed BAI in its ability to predict %Fat.
体重指数（BMI）与体脂百分比呈中度相关，常用于评估运动员的肥胖情况。有限的研究将BMI作为女大学生运动员体脂百分比的替代指标进行评估。身体肥胖指数（BAI）是一种人体测量指标，在预测肥胖方面被认为优于BMI，但在女性运动员群体中尚未得到充分评估。本研究旨在确定BAI在预测女大学生运动员和大学年龄非运动员的体脂百分比方面是否优于其他人体测量指标。邀请大学女运动员和非运动员到实验室进行人体测量，并通过体脂测量仪测量体脂百分比。BAI的计算方法为臀围/身高 - 18。88名非运动员女性和来自足球（n = 27）、垒球（n = 28）和篮球（n = 17）项目的72名女运动员完成了该研究。使用BMI时，19%的非运动员出现假阳性（FP）。非运动员中BMI的敏感性为85.5%，特异性为73%。16%的运动员出现假阳性。运动员中BMI的敏感性为100%，特异性为81%。在运动员组（BMI：r = 0.725，P < 0.001；BAI：r = 0.556，P < 0.001）和非运动员组（BMI：r = 0.650，P < 0.001；BAI：r = 0.499，P < 0.001）中，BMI的表现均优于BAI。非运动员群体中，预测体脂百分比最强的人体测量指标是BMI（r = 0.42，P < 0.001）。在运动员群体中，腰围是最强的预测指标（r = 0.62，P < 0.001）。在预测体脂百分比方面，BMI的表现优于BAI。
