2023 Student Research Conference:
36th Annual Student Research Conference

Relationship of Skinfold Measurements to DXA Percent Fat in College Women Athletes


Nicole M. Dorn
Dr. Jerry Mayhew (NA), Faculty Mentor

Skinfold (SKF) measurements have been a widely accepted technique for estimating %fat in women. Most of the previous equations were developed using densitometry as the criterion measure of %fat. Few prediction equations exist using SKF to estimate %fat from dual-energy
X-ray absorptiometry (DXA). The purpose of this study was to evaluate the efficacy of selected SKF prediction equations to estimate DXA %fat in women athletes. College athletes (n = 57) from 3 sports were measured for %fat and multiple SKF. Four athletic SKF prediction equations significantly underestimate %fat by 1.8% to 10.3%. A new 6-SKF equation was developed (r = 0.87, SEE = 2.6%). Cross-validation on women athletes from different sports (n = 23) showed good agreement (r = 0.89, SEE = 2.5%) and no significant difference between predicted and actual %fat. The new equation appears to be more accurate than previous equations developed using other criterion techniques.

Keywords: 

Topic(s):Exercise Science

Presentation Type: Poster Presentation

Session: 3-5
Location: Student Union Building Activities Room
Time: 3:00

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