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BackgroundDance involves movements of complexity and physical intensity which result in stress on the body. As a consequence, dancers are at risk of injury which can impact on their well-being. Screening tools are used for injury prevention to identify those dancers at risk of injury. The aim of this study was to investigate which screening tools can predict injury in dancers, encompassing all dance genres, levels and ages.MethodsAn electronic search of seven databases from their inception to December 2017 was conducted. The databases were the Allied and Complementary Medicine Database (AMED), CINAHL, eBOOK Collection (EBSCOhost), MEDLINE, Cochrane Database of Systematic Reviews, SPORTDiscus and PEDro: the Physiotherapy Evidence Base. The following search terms were used: (i) Dance AND injury AND Screening, (ii) Screening AND dance and (iii) Musculoskeletal AND Screening AND Dance. Studies were assessed using a 20-point scoring tool, and eligible studies were included in a meta-analysis.ResultsThe mean methodological quality score was 12.2 points. Injured dancers had a significantly higher compensated turnout range of motion than non-injured dancers: pooled mean difference of compensated turnout (23.29°; 95% CI 14.85–31.73; P < 0.00001; I2 = 0%). Injured dancers had significantly greater functional turnout range of motion when compared to non-injured dancers: pooled mean difference of functional turnout (14.08°; 95% CI 7.09–21.07; P < 0.0001; I2 = 0%). There also some evidence for use of hip range of motion as a predictor of dance injury.ConclusionsSome evidence exists for the potential use of dance-specific positions as a predictor of injury. A number of studies were limited by a lack of prospective injury design, injury definition and self-reporting of injury.

Dance is associated with a high risk of injury and fatigue is often a contributing factor. The Star Excursion Balance Test (SEBT) has been used to identify alterations in normal movement that may contribute to injury risk; however, there has been limited investigation of the potential effects of fatigue. The aim of this study was to explore the influence of dance-specific fatigue on SEBT performance, with implications for injury and performance in dance. Thirty-five university dancers completed the modified SEBT in anterior, posterolateral, and posteromedial directions prior to and immediately following the Dance Aerobic Fitness Test (DAFT). The SEBT was completed for dominant and non-dominant legs. Heart rate and rate of perceived exertion were quantified as measures of fatigue. Post-DAFT, the mean SEBT percentage maximized reach distances for dominant and nondominant legs were non-significant compared to pre-DAFT scores. Lack of a main effect for exercise was observed in each of the anterior dominant and non-dominant, posterolateral dominant and non-dominant, and posteromedial dominant and non-dominant scores. It is concluded that the limited changes in the ability of dancers to perform the SEBT suggest that they were able to maintain SEBT performance in both dominant and non-dominant legs following exercise. This resistance to fatigue may demonstrate a dance-specific performance adaptation so that potential alterations in movement performance that may increase injury risk were not observed.

Background: Rugby union is a collision sport which is associated with a high injury rate and therefore the development of effective injury prevention strategies is required.Purpose: This study aimed to determine whether the Functional Movement Screen™ (FMS™) components can predict injury in female and male rugby union players and whether differences exist in the FMS™ scores of injured and non-injured players.Study Design: Prospective cohort study.Methods: Sixty-four female university rugby union players (age: 20.39 ± 1.91 years) and 55 male university rugby union players (age: 21.05 ± 1.35 years) completed the FMS™ which assesses seven functional movements on a scale of 0 to 3 and provides a total or composite score out of 21. Players were subsequently monitored for injury during the season and injury rates calculated. Results:The training injury rates for females were 5.80 injuries/1000 hours and males 5.34 injuries/1000 hours while the match injury rates for females was 55.56 injuries/1000 hours and males 46.30 injuries/1000 hours. FMS™ composite score demonstrated a significant difference between injured females and non-injured males (p = 0.01) and a combined sample comparison of injured and non-injured subjects was significant (p = 0.01). FMS™ composite score was not a good predictor of injury however as FMS™ individual components predicted 37.4% of the variance in total days injured in females. ROC curve analysis revealed an injury cut off score of 11.5 for females and males and provided a sensitivity and specificity of 0.90 and 0.86 and 0.88 and 1.00 respectively. The combined sample FMS™ composite score of 'multiple injuries' participants demonstrated no significant difference between non-injured (p = 0.31) and single injury subjects (p = 0.76). Conclusion:Injury rates between female rugby and male rugby were similar with match injury rates higher in females. The FMS™ can be used to identify those players with the potential to develop injury and the FMS™ injury cut off point was 11.5 for both female rugby and male rugby players. Individual components of the FMS™ are a better predictor of injury than FMS™ composite score.

Injury incidence in dance is high, in large part due to the frequency of repetitive and complex movements that require the lower limb to absorb and utilize extreme forces. The aim of this study was to quantify the biomechanical demands of the Dance Aerobic Fitness Test (DAFT) via triaxial accelerometry and utilize it to compare loading at the cervical spine and distal aspect of the lower limb. University dancers (N = 26; age: 20.0 ± 1.5 years; height: 1.61 ± 0.08 m; body mass: 58.40 ± 6.20 kg) completed two trials (one familiarization and one experimental) of the DAFT, consisting of five incremental levels of dance performance. Micromechanical electrical systems (MEMS) accelerometry was used to calculate total accumulated PlayerLoad (PLTotal) and it's uniaxial (anteroposterior [PLAP], mediolateral [PLML], and vertical [PLV]) components for each level. MEMS units were positioned at cervical vertebra 7 (C7) and the center of gastrocnemius (LL). There was a significant main effect for each level, with loading increasing in relation to exercise duration. There was also a significant main effect for anatomical placement, with higher PLTotal (C7 = 41.05 ± 7.31 au; LL = 132.58 ± 35.70), PLAP (C7 = 12.96 ± 2.89 au; LL = 47.16 ± 13.18 au), and PLML (C7 = 10.68 ± 2.15; LL = 46.29 ± 12.62 au) at LL when compared to C7, with the converse relationship for PLV (LL = 20.05 ± 3.41 au; C7 = 44.89 ± 11.22 au). Significant interactions were displayed for all PL metrics. It is concluded that triaxial PlayerLoad was sensitive enough to detect increased loading associated with increases in exercise intensity, while lower limb accelerometer placement detected higher loading in all planes. The specificity in anatomical placement has practical implications, with lower limb accelerometry recommended to assess movement strategies in that location.