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Body Composition of Women’s Ice Hockey Players: Comparison of Estimates Using Skinfolds and iDXA
Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation, Sports Medicine.ORCID iD: 0000-0003-4690-6759
2017 (English)In: Journal of Strength and Conditioning Research, ISSN 1064-8011, E-ISSN 1533-4287Article in journal (Refereed) Epub ahead of print
Abstract [en]

The purpose of this study was to compare percent fat (% Fat) estimates from anthropometric equations using skinfolds (SKF) in women’s ice hockey players to estimates obtained from Lunar iDXA. Data were collected on 19 elite female Swedish hockey players (mean age ± SD = 18.4 ± 2.4 y). Four skinfolds (SKF) (triceps, abdominal, suprailiac, and thigh) were measured within two hours of iDXA assessments. The % Fat estimates from iDXA and four anthropometric equations were compared using paired t-tests, and a one-way ANOVA was used to compare % Fat estimates from the anthropometric equations. Bland Altman analyses were used to assess agreement between % Fat estimates from SKF and iDXA. The significance level was set a priori at p<0.05. The % Fat estimates from anthropometric equations were significantly lower than those from iDXA (mean ± SD: 26.85 ± 4.93%,p=0.000). Bland Altman analyses indicated mean differences of -7.96 to -10.13 percentage points between anthropometric equations and iDXA. Estimates of % Fat from anthropometric equations (range: 16.72% to 18.89%) were within the range reported in earlier studies using the Sum of 7 SKF. Thus, SKF offer a reasonable alternative to iDXA for this population, but result in underestimates of % Fat relative to iDXA. Strength and conditioning coaches should use the same body composition assessment method consistently, and interpret the results with caution, as they are estimates and not true values.

Place, publisher, year, edition, pages
2017.
Keywords [en]
women’s ice hockey, female athletes, relative fatness, skinfolds, DXA
National Category
Sport and Fitness Sciences Other Medical Sciences not elsewhere specified
Identifiers
URN: urn:nbn:se:umu:diva-148368DOI: 10.1519/JSC.0000000000002400PubMedID: 29239987OAI: oai:DiVA.org:umu-148368DiVA, id: diva2:1213238
Available from: 2018-06-04 Created: 2018-06-04 Last updated: 2019-05-20

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Gilenstam, Kajsa

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CiteExportLink to record
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