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Screening Tools as a Predictor of Injury in Dance: Systematic Literature Review and Meta-analysis

BACKGROUND: Dance involves movements of complexity and physical intensity which result in stress on the body. As a consequence, dancers are at risk of injury which can impact on their well-being. Screening tools are used for injury prevention to identify those dancers at risk of injury. The aim of t...

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Autores principales: Armstrong, Ross, Relph, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051954/
https://www.ncbi.nlm.nih.gov/pubmed/30022294
http://dx.doi.org/10.1186/s40798-018-0146-z
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author Armstrong, Ross
Relph, Nicola
author_facet Armstrong, Ross
Relph, Nicola
author_sort Armstrong, Ross
collection PubMed
description BACKGROUND: Dance involves movements of complexity and physical intensity which result in stress on the body. As a consequence, dancers are at risk of injury which can impact on their well-being. Screening tools are used for injury prevention to identify those dancers at risk of injury. The aim of this study was to investigate which screening tools can predict injury in dancers, encompassing all dance genres, levels and ages. METHODS: An electronic search of seven databases from their inception to December 2017 was conducted. The databases were the Allied and Complementary Medicine Database (AMED), CINAHL, eBOOK Collection (EBSCOhost), MEDLINE, Cochrane Database of Systematic Reviews, SPORTDiscus and PEDro: the Physiotherapy Evidence Base. The following search terms were used: (i) Dance AND injury AND Screening, (ii) Screening AND dance and (iii) Musculoskeletal AND Screening AND Dance. Studies were assessed using a 20-point scoring tool, and eligible studies were included in a meta-analysis. RESULTS: The mean methodological quality score was 12.2 points. Injured dancers had a significantly higher compensated turnout range of motion than non-injured dancers: pooled mean difference of compensated turnout (23.29°; 95% CI 14.85–31.73; P < 0.00001; I(2) = 0%). Injured dancers had significantly greater functional turnout range of motion when compared to non-injured dancers: pooled mean difference of functional turnout (14.08°; 95% CI 7.09–21.07; P < 0.0001; I(2) = 0%). There also some evidence for use of hip range of motion as a predictor of dance injury. CONCLUSIONS: Some evidence exists for the potential use of dance-specific positions as a predictor of injury. A number of studies were limited by a lack of prospective injury design, injury definition and self-reporting of injury.
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spelling pubmed-60519542018-08-07 Screening Tools as a Predictor of Injury in Dance: Systematic Literature Review and Meta-analysis Armstrong, Ross Relph, Nicola Sports Med Open Systematic Review BACKGROUND: Dance involves movements of complexity and physical intensity which result in stress on the body. As a consequence, dancers are at risk of injury which can impact on their well-being. Screening tools are used for injury prevention to identify those dancers at risk of injury. The aim of this study was to investigate which screening tools can predict injury in dancers, encompassing all dance genres, levels and ages. METHODS: An electronic search of seven databases from their inception to December 2017 was conducted. The databases were the Allied and Complementary Medicine Database (AMED), CINAHL, eBOOK Collection (EBSCOhost), MEDLINE, Cochrane Database of Systematic Reviews, SPORTDiscus and PEDro: the Physiotherapy Evidence Base. The following search terms were used: (i) Dance AND injury AND Screening, (ii) Screening AND dance and (iii) Musculoskeletal AND Screening AND Dance. Studies were assessed using a 20-point scoring tool, and eligible studies were included in a meta-analysis. RESULTS: The mean methodological quality score was 12.2 points. Injured dancers had a significantly higher compensated turnout range of motion than non-injured dancers: pooled mean difference of compensated turnout (23.29°; 95% CI 14.85–31.73; P < 0.00001; I(2) = 0%). Injured dancers had significantly greater functional turnout range of motion when compared to non-injured dancers: pooled mean difference of functional turnout (14.08°; 95% CI 7.09–21.07; P < 0.0001; I(2) = 0%). There also some evidence for use of hip range of motion as a predictor of dance injury. CONCLUSIONS: Some evidence exists for the potential use of dance-specific positions as a predictor of injury. A number of studies were limited by a lack of prospective injury design, injury definition and self-reporting of injury. Springer International Publishing 2018-07-18 /pmc/articles/PMC6051954/ /pubmed/30022294 http://dx.doi.org/10.1186/s40798-018-0146-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Systematic Review
Armstrong, Ross
Relph, Nicola
Screening Tools as a Predictor of Injury in Dance: Systematic Literature Review and Meta-analysis
title Screening Tools as a Predictor of Injury in Dance: Systematic Literature Review and Meta-analysis
title_full Screening Tools as a Predictor of Injury in Dance: Systematic Literature Review and Meta-analysis
title_fullStr Screening Tools as a Predictor of Injury in Dance: Systematic Literature Review and Meta-analysis
title_full_unstemmed Screening Tools as a Predictor of Injury in Dance: Systematic Literature Review and Meta-analysis
title_short Screening Tools as a Predictor of Injury in Dance: Systematic Literature Review and Meta-analysis
title_sort screening tools as a predictor of injury in dance: systematic literature review and meta-analysis
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051954/
https://www.ncbi.nlm.nih.gov/pubmed/30022294
http://dx.doi.org/10.1186/s40798-018-0146-z
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