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Systematic review of methods used to measure training load in dance

Valeriya G. Volkova, Anu M. Räisänen, Lauren C. Benson, Reed Ferber, Sarah Kenny

2023BMJ Open Sport & Exercise Medicine8 citationsDOIOpen Access PDF

Abstract

Dance is a popular physical activity. Increased dance training has been associated with an increased risk of injury. Given the established association between training load (TL) and injury in sport, knowledge of how TL is currently being measured in dance is critical. The objective of this study is to summarise published literature examining TL monitoring in dance settings. Six prominent databases (CINAHL, EMBASE, Medline, ProQuest, Scopus, SportDiscus) were searched and nine dance-specific journals were handsearched up to May 2022. Selected studies met inclusion criteria, where original TL data were collected from at least one dancer in a class, rehearsal and/or performance. Studies were excluded if TL was not captured in a dance class, rehearsal or performance. Two reviewers independently assessed each record for inclusion at title, abstract and full-text screening stages. Study quality was assessed using Joanna Briggs Institute Critical Appraisal Tool checklists for each study design. The 199 included studies reported on female dancers (61%), ballet genre (55%) and the professional level (31%). Dance hours were the most common tool used to measure TL (90%), followed by heart rate (20%), and portable metabolic systems (9%). The most common metric for each tool was mean weekly hours (n=381; median=9.5 hours, range=0.2-48.7 hours), mean heart rate (n=143) and mean oxygen consumption (n=93). Further research on TL is needed in dance, including a consensus on what tools and metrics are best suited for TL monitoring in dance.

Topics & Concepts

DanceCINAHLScopusPhysical therapyMedicineCritical appraisalPsychologyMEDLINEArtAlternative medicineVisual artsPsychological interventionNursingPathologyPolitical scienceLawSports injuries and preventionDiversity and Impact of DanceWinter Sports Injuries and Performance
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