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dc.contributor.authorMuniz Y.G.
dc.contributor.authorCossio-Bolaños M.
dc.contributor.authorGómez-Campos R.
dc.contributor.authorGonçalves E.M.
dc.contributor.authorLázari E.
dc.contributor.authorUrra-Albornoz C.
dc.contributor.authorde Arruda M.
dc.date.accessioned2020-09-02T22:24:03Z
dc.date.available2020-09-02T22:24:03Z
dc.date.issued2017
dc.identifier.citation20, 3, 14-24
dc.identifier.issn10979751
dc.identifier.urihttps://hdl.handle.net/20.500.12728/5470
dc.descriptionThe purpose of the study was to develop regression equations to predict body fat percentage (BF%) in young male volleyball players by using the Dual-energy X-ray absorptiometry (DXA) method as a reference. The subjects consisted of 29 volleyball players (16.0 to 20.9 yrs of age) from a professional first division team in the Brazilian volleyball league. The subjects' years of experience, weight, height, sitting height, and 7 skinfolds (triceps, biceps, subscapular, iliac crest, abdominal, front thigh, and medial calf) were determined. Three equations were created to predict BF%: (a) Equation 1, (R2 = 0.76, SEE = 1.82); (b) Equation 2, (R2 = 0.79, SEE = 1.85); and (c) Equation 3, (R2 = 0.80, SEE = 1.81). All three equations developed may be used to predict BF% in young volleyball players. These equations may also be used as a reliable and valid alternative technique for research.
dc.language.isoen
dc.publisherAmerican Society of Exercise Physiologists
dc.subjectAbsorptiometry
dc.subjectAnthropometry
dc.subjectBody fat percentage
dc.subjectDual-energy X-Ray
dc.subjectVolleyball players
dc.subjectadult
dc.subjectanthropometry
dc.subjectbiceps brachii muscle
dc.subjectbody fat
dc.subjectcalf (mammal)
dc.subjectclinical article
dc.subjectdual energy X ray absorptiometry
dc.subjectheight
dc.subjecthuman
dc.subjectiliac crest
dc.subjectmale
dc.subjectnonhuman
dc.subjectskinfold
dc.subjectstatistical model
dc.subjectthigh
dc.subjecttriceps brachii muscle
dc.subjectvolleyball
dc.subjectyoung adult
dc.titleEstimate of body fat percentage in male volleyball players: Assessment based on skinfolds
dc.typeArticle


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