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dc.contributor.authorJohnston, Richard
dc.contributor.authorCahalan, Roisin
dc.contributor.authorBonnett, Laura
dc.contributor.authorMaguire, Matthew
dc.contributor.authorNevill, Alan
dc.contributor.authorGlasgow, Philip
dc.contributor.authorO'Sullivan, Kieran
dc.contributor.authorComyns, Thomas
dc.date.accessioned2019-06-04T13:51:57Z
dc.date.available2019-06-04T13:51:57Z
dc.date.issued2019-04-07
dc.identifier.citationJohnston R, Cahalan R, Bonnett L, Maguire M, Nevill A, Glasgow P, O'Sullivan K, Comyns T. Int J Sports Physiol Perform. 2019 May 1;14(5):590-597. doi: 10.1123/ijspp.2018-0644. Epub 2019 Apr 7.en
dc.identifier.issn1555-0265en
dc.identifier.pmid30427240
dc.identifier.doi10.1123/ijspp.2018-0644en
dc.identifier.urihttp://hdl.handle.net/2436/622403
dc.description.abstractPurpose: To determine the association between training-load (TL) factors, baseline characteristics, and new injury and/or pain (IP) risk in an endurance sporting population (ESP). Methods: Ninety-five ESP participants from running, triathlon, swimming, cycling, and rowing disciplines initially completed a questionnaire capturing baseline characteristics. TL and IP data were submitted weekly over a 52-wk study period. Cumulative TL factors, acute:chronic workload ratios, and exponentially weighted moving averages were calculated. A shared frailty model was used to explore time to new IP and association to TL factors and baseline characteristics. Results: 92.6% of the ESP completed all 52 wk of TL and IP data. The following factors were associated with the lowest risk of a new IP episode: (a) a low to moderate 7-d lag exponentially weighted moving averages (0.8-1.3: hazard ratio [HR] = 1.21; 95% confidence interval [CI], 1.01-1.44; P = .04); (b) a low to moderate 7-d lag weekly TL (1200-1700 AU: HR = 1.38; 95% CI, 1.15-1.65; P < .001); (c) a moderate to high 14-d lag 4-weekly cumulative TL (5200-8000 AU: HR = 0.33; 95% CI, 0.21-0.50; P < .001); and (d) a low number of previous IP episodes in the preceding 12 mo (1 previous IP episode: HR = 1.11; 95% CI, 1.04-1.17; P = .04). Conclusions: To minimize new IP risk, an ESP should avoid high spikes in acute TL while maintaining moderate to high chronic TLs. A history of previous IP should be considered when prescribing TLs. The demonstration of a lag between a TL factor and its impact on new IP risk may have important implications for future ESP TL analysis.en
dc.formatapplication/PDFen
dc.languageeng
dc.language.isoenen
dc.publisherHuman Kineticsen
dc.relation.urlhttps://journals.humankinetics.com/doi/10.1123/ijspp.2018-0644en
dc.subjectmultidiscipline sportsen
dc.subjectrisken
dc.subjectsingle-discipline sporten
dc.subjectworkloaden
dc.titleTraining Load and Baseline Characteristics Associated With New Injury/Pain Within an Endurance Sporting Population: A Prospective Studyen
dc.typeJournal articleen
dc.identifier.eissn1555-0273
dc.identifier.journalInternational journal of sports physiology and performanceen
dc.date.updated2019-05-21T08:25:20Z
pubs.place-of-publicationUnited States
dc.date.accepted2019-03
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectPDF-2015-08-044en
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2019-06-04en
dc.source.volume14
dc.source.issue5
dc.source.beginpage590
dc.source.endpage597
dc.description.versionPublished version
refterms.dateFCD2019-06-04T13:49:57Z
refterms.versionFCDAM
refterms.dateFOA2019-06-04T13:51:58Z


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