Are there risk factors for snowboard injuries? A case-control multicentre study of 559 snowboarders

British Journal of Sports Medicine - Tập 44 Số 11 - Trang 816-821 - 2010
Rebecca M. Hasler1, Simeon Berov2, Lorin M. Benneker3, Simon Dubler1, Jonathan Spycher4, Dominik Heim5, Heinz Zimmermann1, Aristomenis K. Exadaktylos1
1Department of Emergency Medicine, Inselspital University of Bern, Bern, Switzerland
2Department of Orthopaedic Surgery, Spital Interlaken, Interlaken, Switzerland
3Department of Orthopaedic Surgery, Inselspital, Bern University Hospital, CH-3010 Bern, Switzerland
4Department of Orthopaedic Surgery, Inselspital, University of Bern, Bern, Switzerland
5Department of Surgery, Spital Frutigen, Frutigen, Switzerland

Tóm tắt

ObjectiveTo analyse risk factors leading to injuries during snowboarding.DesignA case–control multicentre survey of injured and non-injured snowboarders.SettingOne tertiary and two secondary trauma centres in Bern, Switzerland.MethodsAll snowboard injuries admitted to our tertiary and two affiliated secondary trauma centres from 1 November 2007 to 15 April 2008 were analysed on the basis of a completed questionnaire incorporating 15 variables. The same questionnaire was applied in non-injured controls at valley stations after a snowboarding day during the same period. A multiple logistic regression was performed (dichotomous variables). Patterns of combined risk factors were calculated by inference trees.Results306 patients and 253 controls were interviewed. The following variables were statistically significant for the injured patients: low readiness for speed (OR 0.20, 95% CI 0.06 to 0.64, p=0.0037), bad weather/visibility (OR 19.06, 95% CI 2.70 to 134.73, p=0.0031) and old snow (OR 0.11, 95% CI 0.02 to 0.68, p=0.0323). Not wearing a helmet and riding on icy slopes emerged as a combination of risk factors associated with injury.ConclusionsSeveral risk factors and combinations exist, and different risk profiles were identified. Future research should be aimed at more precise identification of groups at risk and developing specific recommendations for each group—for example, a snow-weather conditions index at valley stations.

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