Relationship between body mass index and body fat percentage, estimated by bioelectrical impedance in a sample of college students
Methods: A cross sectional study of 220 Indiana State University students comprising 81.4% female with a mean age of 20.9 (SD = 4.4) was conducted. Participants' body fat percentage was estimated from bioelectrical impedance analysis and the body mass index calculated from reported heights and weights. Pearsons' correlation coefficient (r) was calculated to assess the relationship between body mass index and body fat percentage. Multiple regression analysis was performed to determine the influence of age and gender on the relationship. Analyses were done using Statistical Package for Social Sciences (SPSS) for windows version 22.
Results: Of the participants, 68.9% were white .The mean body mass index was 26.2 (SD = 6.36) and mean body fat percentage was 24.4 (SD = 8.9). There was a significant positive correlation between body mass index and body fat percentage in males (r = 0.82, p < 0.001; SEE = 5.35) and in females (r = 0.89, p < 0.001; SEE = 3.80). The influence of age and gender on the body mass index- body fat percentage relationship was significant (p < 0.001); with more effect from gender.
Conclusions: The study findings indicate that BMI strongly and significantly correlate with body fat percentage estimated from bioelectrical impedance analysis in this sample of college students. Our results reinforce the need to consider age and gender when using body mass index to predict body fat percentage or adiposity in a population.
Public health or related research
Social and behavioral sciences
Assess the relationship between body mass index and body fat percentage.
Keyword(s): College Students
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