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Predicting Body Fat in College Students
Author(s) -
Notte Dana Renae,
Tyzbir Robert S.
Publication year - 2009
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.23.1_supplement.551.31
Subject(s) - bioelectrical impedance analysis , anthropometry , body mass index , body adiposity index , waist , body volume index , regression analysis , linear regression , medicine , body fat percentage , body shape index , mathematics , classification of obesity , fat mass , physiology , demography , statistics , sociology
The purpose of this study is to determine which anthropometric variables can be used to develop equations that best predict body fatness in college age students. The body mass index (BMI), waist to hip ratio (W/H), and conicity index (Ci), was calculated for men and women participating in an elective nutrition course from 1992 to 2007. These calculations were used to develop the following linear regression prediction equations using SPSS: These equations were then used to predict body fat for male and female students in 2008 and results were compared to the percent body fat measured using bioelectrical impedance (BEI). Our results indicate that in males the equation using W/H ratio is the best predictor of body fat followed by equations using BMI and Ci. However, in females, the BMI equation is the best predictor of body fat followed by W/H and Ci respectively. We conclude that equations derived from different anthropometric variables should be used when predicting body fat in males verses females. In males, the equation using W/H is best at predicting body fat while, in females, the equation using BMI is the best.