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dc.contributor.authorSammoud, Senda
dc.contributor.authorNevill, Alan M.
dc.contributor.authorNegra, Yassine
dc.contributor.authorBouguezzi, Raja
dc.contributor.authorHelmi, Chaabene
dc.contributor.authorHachana, Younes
dc.date.accessioned2018-12-05T15:22:25Z
dc.date.available2018-12-05T15:22:25Z
dc.date.issued2018-11-15
dc.identifier.citationSenda Sammoud, Alan Michael Nevill, Yassine Negra, Raja Bouguezzi, Chaabene Helmi & Younés Hachana (2018) Key somatic variables in young backstroke swimmers, Journal of Sports Sciences, DOI: 10.1080/02640414.2018.1546547en_US
dc.identifier.issn0264-0414en_US
dc.identifier.doi10.1080/02640414.2018.1546547
dc.identifier.urihttp://hdl.handle.net/2436/621949
dc.description.abstractThe purpose of this study was to estimate the optimal body size, limb-segment length, girth or breadth ratios for 100-m backstroke mean speed performance in young swimmers. Sixty-three young swimmers (boys [n = 30; age: 13.98 ± 0.58 years]; girls [n = 33; age: 13.02 ± 1.20 years]) participated in this study. To identify the optimal body size and body composition components associated with 100-m backstroke speed performance, we adopted a multiplicative allometric log-linear regression model, which was refined using backward elimination. The multiplicative allometric model exploring the association between 100-m backstroke mean speed performance and the different somatic measurements estimated that biological age, sitting height, leg length for the lower-limbs, and two girths (forearm and arm relaxed girth) are the key predictors. Stature and body mass did not contribute to the model, suggesting that the advantage of longer levers was limb-specific rather than a general whole-body advantage. In fact, it is only by adopting multiplicative allometric models that the abovementioned ratios could have been derived. These findings highlighted the importance of considering somatic characteristics of young backstroke swimmers and can help swimming coaches to classify their swimmers and enable them to suggest what might be the swimmers’ most appropriate stroke (talent identification).en_US
dc.formatapplication/PDFen_US
dc.language.isoenen_US
dc.publisherRoutledgeen_US
dc.relation.urlhttps://www.tandfonline.com/doi/full/10.1080/02640414.2018.1546547en_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectallometric modelsen_US
dc.subjectanthropometric measuresen_US
dc.subjectbackstroke swimmingen_US
dc.subjectgenderen_US
dc.subjecttalent identificationen_US
dc.titleKey somatic variables in young backstroke swimmersen_US
dc.typeJournal article
dc.identifier.journalJournal of Sports Sciencesen_US
dc.date.accepted2018-11-16
rioxxterms.funderUniversity of Wolverhamptonen_US
rioxxterms.identifier.projectUOW051218ANen_US
rioxxterms.versionAMen_US
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
rioxxterms.licenseref.startdate2019-11-15en_US
dc.source.volume37
dc.source.issue10
dc.source.beginpage1162
dc.source.endpage1167
refterms.dateFCD2018-12-05T15:22:26Z
refterms.versionFCDAM


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