Morphological and skill-related fitness components as potential predictors of injury in elite netball players: A cohort study

Abstract

Background: A limited number of studies on the epidemiology of injuries and fitness profiles of netball players in South Africa have been conducted, but no research on the potential morphological and skill-related fitness predictors of injuries could be located.

Objectives: We investigated whether morphological or skill-related factors measured in the pre-season could predict injuries sustained in-season.

Method: In our cohort study, 77 under-18 (U18), U19, U21 and senior elite netball players underwent pre-season testing including anthropometry, balance, flexibility, explosive power, upper and lower body strength, core strength, speed and agility testing. A questionnaire was used to collect demographic data, elite-level experience and injury history. Injuries in pre-season, training and matches were recorded during the subsequent 2017–2018 season using an injury profile sheet.

Results: Amongst the 77 players who underwent pre-season fitness tests, 33 players (42.9%) had at least one injury. Regarding player morphology, a significant association of body mass and body fat percentage with injury risk was found in a simple logistic regression. In a multiple logistic regression analysis, only fat percentage (p = 0.0508) remained a significant predictor of injury at the 10% significance level, with higher fat percentage being associated with lower injury risk.

Conclusion: Heavier players and players with a higher fat percentage had a decreased injury risk.

Clinical implications: As a result of the apparent protective effect of heavier weight of players, referees should more strictly enforce the no-contact rule in netball. Further research on functional movement screening as a tool for potential prediction of injury in netball is recommended.