Risk models for lower extremity injuries among short- and long distance runners: A prospective cohort study

van Poppel, D; Scholten-Peeters, GGM; van Middelkoop, M; Koes, BW; Verhagen, AP

Risk models for lower extremity injuries among short- and long distance runners: A prospective cohort study

van Poppel, D Scholten-Peeters, GGM van Middelkoop, M Koes, BW Verhagen, AP

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Publication Type:: Journal Article
Citation:: Musculoskeletal Science and Practice, 2018, 36 pp. 48 - 53
Issue Date:: 2018-08-01

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Field	Value	Language
dc.contributor.author	van Poppel, D	en_US
dc.contributor.author	Scholten-Peeters, GGM	en_US
dc.contributor.author	van Middelkoop, M	en_US
dc.contributor.author	Koes, BW	en_US
dc.contributor.author	Verhagen, AP https://orcid.org/0000-0002-6195-0128	en_US
dc.date.available	2020-08-25T19:03:37Z
dc.date.issued	2018-08-01	en_US
dc.identifier.citation	Musculoskeletal Science and Practice, 2018, 36 pp. 48 - 53	en_US
dc.identifier.issn	2468-8630	en_US
dc.identifier.uri	http://hdl.handle.net/10453/128398
dc.description.abstract	© 2018 Background: Running injuries are very common. Risk factors for running injuries are not consistently described across studies and do not differentiate between runners of long- and short distances within one cohort. Objectives: The aim of this study is to determine risk factors for running injuries in recreational long- and short distance runners separately. Design: A prospective cohort study. Methods: Recreational runners from four different running events are invited to participate. They filled in a baseline questionnaire assessing possible risk factors about 4 weeks before the run and one a week after the run assessing running injuries. Using logistic regression we developed an overall risk model and separate risk models based on the running distance. Results: In total 3768 runners participated in this study. The overall risk model contained 4 risk factors: previous injuries (OR 3.7) and running distance during the event (OR 1.3) increased the risk of a running injury whereas older age (OR 0.99) and more training kilometers per week (OR 0.99) showed a decrease. Models between short- and long distance runners did not differ significantly. Previous injuries increased the risk of a running injury in all models, while more training kilometers per week decreased this risk. Conclusions: We found that risk factors for running injuries were not related to running distances. Previous injury is a generic risk factor for running injuries, as is weekly training distance. Prevention of running injuries is important and a higher weekly training volume seems to prevent injuries to a certain extent.	en_US
dc.relation.ispartof	Musculoskeletal Science and Practice	en_US
dc.relation.isbasedon	10.1016/j.msksp.2018.04.007	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.mesh	Lower Extremity	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Leg Injuries	en_US
dc.subject.mesh	Risk Assessment	en_US
dc.subject.mesh	Risk Factors	en_US
dc.subject.mesh	Cohort Studies	en_US
dc.subject.mesh	Prospective Studies	en_US
dc.subject.mesh	Running	en_US
dc.subject.mesh	Models, Theoretical	en_US
dc.subject.mesh	Adolescent	en_US
dc.subject.mesh	Adult	en_US
dc.subject.mesh	Aged	en_US
dc.subject.mesh	Aged, 80 and over	en_US
dc.subject.mesh	Middle Aged	en_US
dc.subject.mesh	Female	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Young Adult	en_US
dc.subject.mesh	Surveys and Questionnaires	en_US
dc.title	Risk models for lower extremity injuries among short- and long distance runners: A prospective cohort study	en_US
dc.type	Journal Article
utslib.citation.volume	36	en_US
utslib.for	1103 Clinical Sciences	en_US
utslib.for	1106 Human Movement and Sports Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Graduate School of Health
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	36	en_US

Abstract:

© 2018 Background: Running injuries are very common. Risk factors for running injuries are not consistently described across studies and do not differentiate between runners of long- and short distances within one cohort. Objectives: The aim of this study is to determine risk factors for running injuries in recreational long- and short distance runners separately. Design: A prospective cohort study. Methods: Recreational runners from four different running events are invited to participate. They filled in a baseline questionnaire assessing possible risk factors about 4 weeks before the run and one a week after the run assessing running injuries. Using logistic regression we developed an overall risk model and separate risk models based on the running distance. Results: In total 3768 runners participated in this study. The overall risk model contained 4 risk factors: previous injuries (OR 3.7) and running distance during the event (OR 1.3) increased the risk of a running injury whereas older age (OR 0.99) and more training kilometers per week (OR 0.99) showed a decrease. Models between short- and long distance runners did not differ significantly. Previous injuries increased the risk of a running injury in all models, while more training kilometers per week decreased this risk. Conclusions: We found that risk factors for running injuries were not related to running distances. Previous injury is a generic risk factor for running injuries, as is weekly training distance. Prevention of running injuries is important and a higher weekly training volume seems to prevent injuries to a certain extent.

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http://hdl.handle.net/10453/128398