4.3 Article

Dual-Energy X-Ray Absorptiometry Body Composition in NCAA Division I Athletes: Exploration of Mass Distribution

期刊

SPORTS HEALTH-A MULTIDISCIPLINARY APPROACH
卷 11, 期 5, 页码 453-460

出版社

SAGE PUBLICATIONS INC
DOI: 10.1177/1941738119861572

关键词

lean mass; fat mass; body fat; collegiate

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Background: Body composition assessment is frequently used in sports medicine and athletic performance environments to assess change in response to strength training and nutrition programs. However, to effectively do so requires knowledge regarding expected body composition values relative to sport and sex. Dual-energy x-ray absorptiometry (DXA) is widely used to evaluate body composition, although its utility in relationship to specific sports, performance, or rehabilitation is not clearly defined. Hypothesis: Body composition metrics and distribution of National Collegiate Athletic Association Division I collegiate athletes will vary based on sport and sex. Study Design: Cross-sectional. Methods: A convenience sample of 337 athletes (229 men and 108 women) participating in football, wrestling, soccer, hockey, basketball, golf, softball, or volleyball was evaluated. DXA-measured total body composition, including bone mineral density (BMD), % lean, % fat, and regional distribution were compared by sex, sport, and an age-matched National Health and Nutrition Examination Survey (NHANES) population. Results: Men had higher BMD, lower % fat (16.4% vs 25.2%) and higher % lean (79.2% vs 70.6%) (P < 0.001). Regional composition varied by sport and sex, with women having a greater proportion of lean mass at the trunk and men in their arms (P < 0.0001). Leg lean mass was distributed similarly between sexes (35%). Overall, the normative group (NHANES) had lower BMD and higher percentage fat. Conclusion: DXA-measured body composition and lean mass distribution varies by sport and sex in Division I athletes. The observed difference to NHANES emphasizes challenges in identifying appropriate comparison populations, reinforcing the need to compare athletes with their own baseline.

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