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JOURNAL ARTICLE
VALIDATION STUDIES
Assessing Fat Mass of Adolescent Swimmers Using Anthropometric Equations: A DXA Validation Study.
PURPOSE: The aim of the present study was to determine which of the published anthropometric equations is the most appropriate to estimate body-fat percentage (BF%) in adolescent swimmers.
METHOD: Eighty-eight swimmers (45 boys, 43 girls) participated in this study. Following the recommendations of the International Society of the Advancement of Kinanthropometry, biceps, triceps, subscapular, iliac-crest, supraspinale, front-thigh, and medial calf skinfold thicknesses were measured. Waist, hip, midthigh, calf, relaxed arm, and arm flexed and tensed girths were also registered. BF% was measured with dual-energy X-ray absorptiometry (DXA) to obtain the reference value. Existing anthropometric equations were applied, and BF% results obtained from anthropometric equations were compared to DXA BF% results with the modified Bland-Altman.
RESULTS: The Flavel, Durnin-Rahaman-Siri, and Durnin-Rahaman-Brozek were the only equations that did not demonstrate statistically significant differences when compared with DXA.
CONCLUSION: The present study showed that the best anthropometric equation from existing literature to estimate BF% in swimmers is that proposed by Durnin-Rahaman (independently of applying the Siri or Brozek equation).
METHOD: Eighty-eight swimmers (45 boys, 43 girls) participated in this study. Following the recommendations of the International Society of the Advancement of Kinanthropometry, biceps, triceps, subscapular, iliac-crest, supraspinale, front-thigh, and medial calf skinfold thicknesses were measured. Waist, hip, midthigh, calf, relaxed arm, and arm flexed and tensed girths were also registered. BF% was measured with dual-energy X-ray absorptiometry (DXA) to obtain the reference value. Existing anthropometric equations were applied, and BF% results obtained from anthropometric equations were compared to DXA BF% results with the modified Bland-Altman.
RESULTS: The Flavel, Durnin-Rahaman-Siri, and Durnin-Rahaman-Brozek were the only equations that did not demonstrate statistically significant differences when compared with DXA.
CONCLUSION: The present study showed that the best anthropometric equation from existing literature to estimate BF% in swimmers is that proposed by Durnin-Rahaman (independently of applying the Siri or Brozek equation).
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