Body Mass Index Superior to Body Adiposity Index in Predicting Adiposity in Female Collegiate Athletes.

Abstract

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^1.5 - 18. Eighty-eight female non-athletes and 72 female athletes from soccer (n = 27), softball (n = 28), and basketball (n = 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: r = .725, p < .001; BAI: r = .556, p < .001) and nonathletic (BMI: r = .650, p < .001; BAI: r = .499, p < .001) groups. The strongest anthropometric predictor of %Fat within the non-athlete population was BMI (r² = .42, p < .001). Waist circumference was the strongest predictor in the athletic population (r² = .62, p < .001). BMI outperformed BAI in its ability to predict %Fat.