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dc.contributor.authorDalen-Lorentsen, Torstein
dc.contributor.authorAndersen, Thor Einar
dc.contributor.authorBjørneboe, John Andreas
dc.contributor.authorVagle, Markus
dc.contributor.authorMartin, Kevin Nordanger
dc.contributor.authorKleppen, Michael
dc.contributor.authorFagerland, Morten
dc.contributor.authorClarsen, Benjamin Matthew
dc.date.accessioned2024-03-19T09:15:28Z
dc.date.available2024-03-19T09:15:28Z
dc.date.created2021-03-31T10:49:38Z
dc.date.issued2021
dc.identifier.citationJournal of Orthopaedic and Sports Physical Therapy. 2021, 51(4), 162-173.en_US
dc.identifier.issn0190-6011
dc.identifier.urihttps://hdl.handle.net/11250/3123027
dc.descriptionI Brage finner du siste tekst-versjon av artikkelen, og den kan inneholde ubetydelige forskjeller fra forlagets pdf-versjon. Forlagets pdf-versjon finner du på www.jospt.org / In Brage you'll find the final text version of the article, and it may contain insignificant differences from the journal's pdf version. The original publication is available at www.jospt.orgen_US
dc.description.abstractObjective: To investigate whether the relationship between the acute-chronic workload ratio (ACWR) and health problems varies when different methodological approaches are used to quantify it. Design: Prospective cohort study. Methods: An online questionnaire was used to collect daily health and training information from 86 elite youth footballers for 105 days. The relationship between players' training load and health was analyzed using a range of different definitions of ACWR and health problems. We used 21-day and 28-day chronic periods, coupled and uncoupled calculations, and the exponentially weighted moving average and rolling average. Acute-chronic workload ratio data were categorized as low, medium, or high, using predefined categories and z scores. We compared medium to high, medium to low, and low to high categories. The outcome was defined in 3 ways: “all health problems,” “all injuries,” and “new noncontact injuries.” We performed random-effects logistic regression analyses of all combinations, for a total of 108 analyses. Results: We recorded 6250 athlete-days and 196 health problems. Of the 108 analyses performed, 23 (21%) identified a statistically significant (P<.05) association between the ACWR and health problems. A greater proportion of significant associations were identified when using an exponentially weighted moving average (44% of analyses), when comparing low to high categories (33%), and when using the “all health problems” definition (33%). Conclusion: The relationship between the ACWR and health problems was dependent on methodological approach.en_US
dc.language.isoengen_US
dc.subjectACWRen_US
dc.subjectfootballen_US
dc.subjectinjuryen_US
dc.subjecttraining loaden_US
dc.titleA cherry, ripe for picking: The relationship between the acute-chronic workload ratio and health problemsen_US
dc.title.alternativeA Cherry, Ripe for Picking: The Relationship Between the Acute-Chronic Workload Ratio and Health Problemsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber162-173en_US
dc.source.volume51en_US
dc.source.journalJournal of Orthopaedic and Sports Physical Therapyen_US
dc.source.issue4en_US
dc.identifier.doi10.2519/jospt.2021.9893
dc.identifier.cristin1901811
dc.description.localcodeInstitutt for idrettsmedisinske fag / Department of Sports Medicineen_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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