2019 Student Research Conference:
32nd Annual Student Research Conference

Comparison of Various Body Composition Methods in College Soccer Players

Ian N. McCluskey* and Jacob Gunn
Ms. Elizabeth 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

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