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11.10 Factors associated with concussion rates in youth ice hockey players: data from the largest longitudinal cohort study in Canadian youth ice hockey
by
Eliason, Paul
, Carolyn, Emery
, Isla, Shill
, Jean-Michel, Galarneau
, Constance, Lebrun
, Ash, Kolstad
, Brent, Hagel
, Shelina, Babul
, Martin, Mrazik
in
Cohort analysis
/ Concussion
/ Females
/ Ice hockey
/ Second Round Abstract Submissions
2024
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11.10 Factors associated with concussion rates in youth ice hockey players: data from the largest longitudinal cohort study in Canadian youth ice hockey
by
Eliason, Paul
, Carolyn, Emery
, Isla, Shill
, Jean-Michel, Galarneau
, Constance, Lebrun
, Ash, Kolstad
, Brent, Hagel
, Shelina, Babul
, Martin, Mrazik
in
Cohort analysis
/ Concussion
/ Females
/ Ice hockey
/ Second Round Abstract Submissions
2024
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11.10 Factors associated with concussion rates in youth ice hockey players: data from the largest longitudinal cohort study in Canadian youth ice hockey
by
Eliason, Paul
, Carolyn, Emery
, Isla, Shill
, Jean-Michel, Galarneau
, Constance, Lebrun
, Ash, Kolstad
, Brent, Hagel
, Shelina, Babul
, Martin, Mrazik
in
Cohort analysis
/ Concussion
/ Females
/ Ice hockey
/ Second Round Abstract Submissions
2024
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11.10 Factors associated with concussion rates in youth ice hockey players: data from the largest longitudinal cohort study in Canadian youth ice hockey
Journal Article
11.10 Factors associated with concussion rates in youth ice hockey players: data from the largest longitudinal cohort study in Canadian youth ice hockey
2024
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Overview
ObjectivesTo examine factors associated with rates of game-related concussion in youth ice hockey.DesignFive-year prospective cohort.SettingCanadian ice hockey rinks.Participants4419 male and female ice hockey players (6585 player-seasons) participating in Under-13 (ages 11–12), Under-15 (ages 13–14), and Under-18 (ages 15–17) age groups were recruited.Assessment of Risk FactorsBody checking policy, age group, year of play, level of play, lifetime concussion history, sex, player weight, and position of play.Outcome MeasuresAll game-related concussions were identified using validated injury surveillance methodology. Players with a suspected concussion were referred to a study sport medicine physician for diagnosis and management.Main ResultsCrude concussion rates were 1.82 concussions/1000 game-hours (95% CI: 1.44–2.30) for Under-13s, 3.47 (95% CI: 3.00–4.02) for Under-15s, and 3.61 (95% CI: 3.06–4.27) for Under-18s. Based on multiple multilevel Poisson regression analysis including multiple imputation of missing covariates, female players (IRRFemale/Male=1.72; 95% CI: 1.21–2.46) and players with a previous concussion history (IRR=1.81; 95% CI: 1.51–2.17) had higher rates of game-related concussion. Policy disallowing body checking in games (IRR=0.55; 95% CI: 0.41–0.73) and being a goaltender (IRRGoaltenders/Forwards=0.64; 95% CI: 0.44–0.95) were protective against game-related concussion.ConclusionsIn the largest Canadian youth ice hockey longitudinal cohort study to date, female players (despite policy disallowing body checking) and players with a concussion history had higher rates of concussion. Goalies and players in leagues where policy disallowed body checking had lower rates of concussion. Policy prohibiting body checking continues to be the most effective concussion prevention strategy in youth ice hockey.
Publisher
BMJ Publishing Group Ltd and British Association of Sport and Exercise Medicine,BMJ Publishing Group LTD
Subject
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