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Injury surveillance of female adult Zumba® dancers
Pablo Domene
, Neil Clarke
, Anna Delextrat
, Chris Easton
School of Health and Life Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
7
Citations (Scopus)
163
Downloads (Pure)
Overview
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Dive into the research topics of 'Injury surveillance of female adult Zumba® dancers'. Together they form a unique fingerprint.
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Keyphrases
Dancers
100%
Female Adults
100%
Injury Surveillance
100%
Zumba
100%
Moderate-to-vigorous Physical Activity
22%
Injury Rate
22%
Injury Risk
22%
Group-based
11%
Logistic Regression Analysis
11%
Between-group
11%
Low Risk
11%
Inclusion Criteria
11%
Mann-Whitney Test
11%
Physical Activity Engagement
11%
Binomial Logistic Regression
11%
Injury Pattern
11%
Injury History
11%
Web-based Survey
11%
Demographic Background
11%
Survey Response
11%
Medicine and Dentistry
Physical Activity
100%
Injury Surveillance
100%
Logistic Regression Analysis
50%
Rank Sum Test
50%
Mathematics
Incidence Rate
100%
Response Rate
50%
Logistic Regression Analysis
50%
Rank Sum Test
50%
Nursing and Health Professions
Logistic Regression Analysis
100%
Rank Sum Test
100%
Psychology
Physical Activity
100%
Regression Analysis
50%