32nd Annual Student Research Conference
Comparison of Various Body Composition Methods in College Soccer Players
Ian N. McCluskey* and Jacob Gunn
Prof. Liz Jorn and Dr. Jerry Mayhew, Faculty Mentors
The purpose of this study was to evaluate the efficacy of different body fat (%fat) prediction techniques in college soccer players. Twenty men (age = 20.0 ± 1.2 yrs) were measured for 9 skinfolds (SKF) and single-frequency (50 Hz) hand-to-hand BIA (H-BIA) and foot-to-foot BIA (F-BIA) devices using an athletic settings. %fat was predicted using 5 SKF equations utilized for athletes. DXA was considered the standard for determining %fat. Repeated-measures ANOVA indicated that 4 SKF equations and both BIA devices were significantly lower than DXA, with one SKF significantly higher. Correlations between predicted techniques and DXA ranged from 0.46 to 0.79. Rank-order correlations between predicted techniques and DXA ranged from 0.29 to 0.78. The DXA-derived 7SKF equation appeared to perform best although it consistently under-estimated actual %fat by 1.6 ± 2.1%. Further investigation of the newly developed DXA equation should be performed to assess its accuracy on different sport athletes.
Keywords: body composition, skinfold, athletes, body fat, DXA, BIA
Topic(s):Exercise Science
Health Science
Presentation Type: Poster
Session: 5-3
Location: SUB GEO
Time: 3:00