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Modelling binary data: A statistical analysis of the general injury incidence among Swedish floorball players
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Floorball – who plays and who gets injured? In the present study the general injury incidence among Swedish floorball players was investigated, along with possible sociodemographical effects on the injury incidence and the overall diversity within the sport. The main purpose was to map the occurrence of injuries in order to identify where injury prevention measures need to be taken.

The study was based on data form three national registries containing information on injury diagnostics and social information including age, gender, ethnicity and economic background. Analyses was based on contingency tables for binary data and binomial logistic regression, with odds ratios as the primary descriptive measurements.

The results indicate a need to develop and implement injury preventing measures within Swedish floorball, especially concerning injuries to the eyes, knees and ankles. Most distinctive was the high incidence for injuries to the cruciate ligament among female teenagers, where the odds for floorball players to suffer form an injury was more than five times higher than for the control group. This indicates a need to start focusing on knee injury prevention already among children and young adolescents.

Place, publisher, year, edition, pages
National Category
Probability Theory and Statistics
URN: urn:nbn:se:umu:diva-125021OAI: diva2:957577
Available from: 2016-09-14 Created: 2016-09-02 Last updated: 2016-09-14Bibliographically approved

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