Injury surveillance of an Australian community netball club
Author(s)
Smith, Melinda M Franettovich
Mendis, M Dilani
Parker, Alexander
Grantham, Brittany
Stewart, Simon
Hides, Julie
Year published
2020
Metadata
Show full item recordAbstract
Objectives: To describe injuries associated with netball and risk factors for lower limb injuries. Design: Prospective study. In the preseason, risk factors were investigated using self-report questionnaires and physical measurements. During the season, injuries were reported using a standardised report, verified by follow-up phone calls. Player training and game hours were recorded. Setting: Australian community netball club. Participants: 269 players from 9 divisions, aged 7–42 years. Main outcome measures: Injury incidence rates per 1000 exposure hours were calculated. The most common mechanism, nature and consequence of ...
View more >Objectives: To describe injuries associated with netball and risk factors for lower limb injuries. Design: Prospective study. In the preseason, risk factors were investigated using self-report questionnaires and physical measurements. During the season, injuries were reported using a standardised report, verified by follow-up phone calls. Player training and game hours were recorded. Setting: Australian community netball club. Participants: 269 players from 9 divisions, aged 7–42 years. Main outcome measures: Injury incidence rates per 1000 exposure hours were calculated. The most common mechanism, nature and consequence of injury were determined from frequencies. Logistic regression was used to identify predictors of lower limb injury and determine adjusted odds ratios for each risk factor. Results: 169 injuries occurred with a rate of 13.8/1000 exposure hours (95% CI 11.8–16.0), majority (60%) to the lower limb. The most frequent injury mechanisms were collisions (28%) and awkward landings (27%), nature was ‘Inflammation/swelling’ (32%) and consequence was ‘unable to continue playing/training’ (50%). Previous history of injury (OR 6.9, 95% CI 3.7–13.0) and age greater than 13.5 years (OR 3.1, 95% CI 1.6–5.9) were significant risk factors for a season lower limb injury. Conclusion: Injury rates in this community netball club were high. Results suggest that further research regarding the implementation and effectiveness of injury prevention programs for community netballers is required.
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View more >Objectives: To describe injuries associated with netball and risk factors for lower limb injuries. Design: Prospective study. In the preseason, risk factors were investigated using self-report questionnaires and physical measurements. During the season, injuries were reported using a standardised report, verified by follow-up phone calls. Player training and game hours were recorded. Setting: Australian community netball club. Participants: 269 players from 9 divisions, aged 7–42 years. Main outcome measures: Injury incidence rates per 1000 exposure hours were calculated. The most common mechanism, nature and consequence of injury were determined from frequencies. Logistic regression was used to identify predictors of lower limb injury and determine adjusted odds ratios for each risk factor. Results: 169 injuries occurred with a rate of 13.8/1000 exposure hours (95% CI 11.8–16.0), majority (60%) to the lower limb. The most frequent injury mechanisms were collisions (28%) and awkward landings (27%), nature was ‘Inflammation/swelling’ (32%) and consequence was ‘unable to continue playing/training’ (50%). Previous history of injury (OR 6.9, 95% CI 3.7–13.0) and age greater than 13.5 years (OR 3.1, 95% CI 1.6–5.9) were significant risk factors for a season lower limb injury. Conclusion: Injury rates in this community netball club were high. Results suggest that further research regarding the implementation and effectiveness of injury prevention programs for community netballers is required.
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Journal Title
Physical Therapy in Sport
Volume
44
Subject
Sports science and exercise
Allied health and rehabilitation science
Science & Technology
Life Sciences & Biomedicine
Rehabilitation
Epidemiology