Preseason Functional Movement Screen Component Tests Predict Severe Contact Injuries in Professional Rugby Union Players

Tee, Jason; Klingbiel, Jannie F.G.; Collins, Robert M.; Lambert, Mike; Coopoo, Yoga

doi:10.1519/jsc.0000000000001422

Cited by 42 publications

(40 citation statements)

References 32 publications

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“…15,16 In contrast, 62 South African professional rugby union players completed the FMS to compare CS between injured and non-injured athletes. 17 The FMS CS was 13.2+1.7 vs. 14.5+1.5, which is lower than in the Lockie 15,16 study. Seventysix male union rugby players completed the FMS at the beginning of each half of a season.…”

Section: Introductioncontrasting

confidence: 54%

“…African professional rugby union players completed the FMS to compare CS between injured and non-injured athletes. 17 The FMS CS was 13.2+1.7 vs. 14.5+1.5, which is lower than the youth elite soccer players completed the FMS. 21 Functional movement scores were 13.87+2.93 vs. 14.96+2.07.…”

Section: Functional Movement Screen Composite Scores In Field Sportsmentioning

confidence: 75%

“…12 Recent research has focused on assessing the validity of the FMS on the screening tool's ability to assess injury risk and athletic performance. Numerous studies 13,17 compare mean FMS CS between injured versus non-injured groups. These studies collectively agree that the differences in FMS CS are insignificant.…”

Section: Methodsmentioning

confidence: 99%

“…High school athletes, varsity collegiate athletes and professional athletes participating in the field sports of rugby and soccer have received significant attention for musculoskeletal assessments using FMS composite scores (CS). [15][16][17][18][19][20] Twenty-two male recreational team sport athletes participating in soccer, basketball, rugby league, rugby union, Australian football, or touch football were assessed. 15,16 The mean FMS CS equated to 15.09+2.18.…”

Section: Introductionmentioning

confidence: 99%

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Functional Movement Screen Composite Scores for Collegiate Field Club Sport Athletes at One University

Camillone¹

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Functional Movement Screen Composite Scores For Collegiate Field Club Sport Athletes at One University Daniel Camillone, ATC, CSCS Context: Functional screening tools to detect musculoskeletal asymmetries and limitations present in functional movement patterns are available to use for the athletic population. Unfortunately, field club sport athletes do not have the opportunity to utilize functional screening tools. Further, normative data of Functional Movement Screen Composite Scores (FMS CS) has yet to be established in this population. Objective: The purpose of this study was to establish normative FMS CS among field club sport athletes, and determine if years of participation and current hours spent per week training have a significant effect on FMS CS. Foot type and orthotic use was also compared with FMS CS. Design: The study was a descriptive screening study. Setting: The assessments took place at a weight room and athletic training room at a DI Mid-Atlantic university. Patients and Other Participants: Thirty-one athletes (age 19.61±1.56 yrs, height 169.58±8.66 cm, weight 72.77±17.42 kg) participating in club soccer, rugby and lacrosse at a Division I Mid-Atlantic university during the 2017-2018 season volunteered for this study. Inclusion criteria for the study consisted of college students who are field club sport athletes between 18-23 years old who had not sustained an injury in the past twelve months that required removal from participation and training and completed the consent form. Exclusion criteria for the study consisted of an injury occurring in the past twelve months that required removal from participation and training and individuals not between the ages of 18-23 years old. Intervention: All participants completed the demographic questionnaire and seven movements of the FMS. A demographic questionnaire was completed to determine self-reported years of participation in the sport, number of hours spent training per week, foot type, and orthotic use. The participants were asked to complete the seven movements and three clearing tests of the FMS. Each participant completed three trials for each movement. Scores were calculated to determine FMS CS. Main Outcome Measures: The dependent variables were the Functional Movement Screen Composite Score and seven individual movement scores. Results: The mean FMS CS and standard deviation for all participants was 15.1±1.49. Women's Lacrosse (n=4) had the highest average FMS CS (16.0±0.0). Participants with fewer years in sports (15.29±1.2 vs14.94±1.71) and hours of participation (15.17±1.63 vs 15±1.36) scored higher on the FMS CS. Those not wearing orthotics (n=28, 15.2±1.34) scored higher than those who do wear orthotics (n=3, 14.0±0.0). The one participant that reported a pes planus foot (15.0±0.0) scored higher than the seven participants with a pes cavus foot (14.7±1.98). Conclusions: Collegiate field club sport athletes score higher or comparable to varsity collegiate athletes on the FMS. More years of participation and hours per week were associated...

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Section: Introductioncontrasting

confidence: 54%

Section: Functional Movement Screen Composite Scores In Field Sportsmentioning

confidence: 75%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Functional Movement Screen Composite Scores for Collegiate Field Club Sport Athletes at One University

Camillone¹

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“…Classification of injuries in studies of prediction of musculoskeletal injuries is one of the main challenges of the authors. According with Hägglund et al [29], an injury is defined when three criteria are met:…”

Section: Discussionmentioning

confidence: 99%

Performance in the Deep Squat Test and musculoskeletal injuries: a systematic review

Bunn

Silva

2018

Fisioter. mov.

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Introduction:The Deep Squat Test has been applied in pre-season evaluations of sports teams and in military courses to predict the risk of musculoskeletal injuries. Objective: To evaluate the association of DS performance and the risk of musculoskeletal injuries. Methods: In this systematic review, a search without language or time filters was carried out in MEDLINE, SciELO, SCOPUS, SPORTDiscuss, CINAHL and BVS databases with the following title words: injury prediction, injury risk and deep squat in December 2016. Participants' profile, sample size, classification of musculoskeletal injuries, follow-up time, study design and results were extracted from the studies. Bias risk analysis was performed with the Newcastle-Ottawa Scale. Results: Five studies were included, using different analyzes, whose results varied. Odds ratio ranged from 1.21 to 2.59 (95% CI = 1.01 -3.28); relative risk was 1.68 (95% CI = 1.50 -1.87), sensitivity from 3 to 24%, specificity from 90 to 99%, PPV from 42 to 63%, NPV from 72 to 75% and AUC from 51 to 58%. Conclusion: The DS can be a test whose presence of movement dysfunctions is a predictor of the risk of musculoskeletal injuries in individuals who practice physical exercises. However, due to the methodological limitations presented, caution is suggested when interpreting such results. PROSPERO registration: CRD4201706922.Introdução: O Teste de Agachamento Profundo (TAP) tem sido utilizado em avaliações pré-temporada de equipes esportivas e em cursos militares para classificar o risco de lesões musculoesqueléticas. Objetivo: Avaliar a associação do desempenho no TAP e o risco de lesões musculoesqueléticas. Métodos: Nesta revisão sistemática, uma pesquisa sem filtros de linguagem ou de tempo foi realizada nas bases de dados MEDLINE, SciELO, SCOPUS, SPORTDdiscuss, CINAHL e BVS com as seguintes palavras-título: predição de lesões, risco de lesão e agachamento profundo em dezembro de 2016. Perfil dos participantes, tamanho da amostra, classificação das lesões musculoesqueléticas, tempo de seguimento, desenho do estudo e os resultados foram extraídos dos estudos. A análise do risco de viés foi realizada com a Escala Newcastle-Ottawa. Resultados: Foram incluídos cinco estudos, utilizando diferentes análises, cujos resultados variaram. O odds ratio variou de 1,21 a 2,59 (IC 95% = 1,[1][2][3]28); O risco relativo foi de 1,68 (IC 95% = 1,87), sensibilidade de 3 a 24%, especificidade de 90 a 99%, VPP de 42 a 63%, VPN de 72 a 75% e AUC de 51 a 58%. Conclusão: O TAP pode ser um teste cuja presença de disfunções de movimento é um preditor do risco de lesões musculoesqueléticas em indivíduos que praticam exercícios físicos. No entanto, devido às limitações metodológicas apresentadas, sugere-se cautela ao interpretar esses resultados. Registro PROSPERO: CRD4201706922. Palavras-chave:Movimento. Lesões Atléticas. Triagem.

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Factors Influencing the Relationship Between the Functional Movement Screen and Injury Risk in Sporting Populations: A Systematic Review and Meta-analysis

et al. 2019

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Preseason Functional Movement Screen Component Tests Predict Severe Contact Injuries in Professional Rugby Union Players

Abstract: ABSTRACT

Cited by 42 publications

References 32 publications

Functional Movement Screen Composite Scores for Collegiate Field Club Sport Athletes at One University

Functional Movement Screen Composite Scores for Collegiate Field Club Sport Athletes at One University

Performance in the Deep Squat Test and musculoskeletal injuries: a systematic review

Factors Influencing the Relationship Between the Functional Movement Screen and Injury Risk in Sporting Populations: A Systematic Review and Meta-analysis

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