The association between the functional movement screen outcome and the incidence of musculoskeletal injuries: A systematic review with meta-analysis

Bunn, Priscila dos Santos; Inoue, Allan; Silva, Elirez Bezerra da

doi:10.1016/j.ptsp.2018.11.011

Cited by 38 publications

(34 citation statements)

References 36 publications

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“…The 9+ screening battery total score among the 50 junior players in the reliability study varied from [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]…”

Section: Resultsmentioning

confidence: 99%

“…It consist of five tests from the Functional Movement Screen (FMS), one from the American tennis association (USTA HPP), plus five other tests added by the group to test for mobility, dynamic trunk strength and knee control (21,22) . In recent years, FMS has been tested for reliability (23,24) , non-contact and overuse injuries (25) , comparison with previous injuries (26) and predictive ability for time loss or medical attention injuries (27)(28)(29)(30) . "High risk" atheltes were shown to be 51% more likely to be affected by injury than "low risk", but with very low level of evidence (30) .…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, FMS has been tested for reliability (23,24) , non-contact and overuse injuries (25) , comparison with previous injuries (26) and predictive ability for time loss or medical attention injuries (27)(28)(29)(30) . "High risk" atheltes were shown to be 51% more likely to be affected by injury than "low risk", but with very low level of evidence (30) . Studies using 9+ on athletes have failed to show association between the player's total score and lower extremity injuries (31,32) , as well as intraindividual variability in the total score between seasons, regardless of the players injury (33) .…”

Section: Introductionmentioning

confidence: 99%

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Characteristics of functional movement screening testing in elite handball players: Indicative data from the 9+

Rafnsson

Myklebust

Bahr

et al. 2019

Physical Therapy in Sport

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Objectives:To test 9+ screening batterie's intra-rater reliability, to provide indicative data of elite handball players, and to analyze difference between age, playing positions and level of play. Design: Descriptive studySetting: Icelandic elite male handball players Participants: 182 elite male handball players. Main Outcome Measures: Nine+ screening battery.Results: Reliability test: Intra-class correlation for the total score was 0.95. The correlation of each of the test factors varied from 0.63 to 0.91. The mean total score was 22.3±2.9 (95%CI 16.7-28.1), with no difference in total score comparing players age or level of play. Goalkeepers displayed a higher total score than other players (F3,151=5.75, p=0.001). Junior players had a lower score than senior players in tests measuring abdominal strength and core stability; Test 5;  2 (3, 182)=41.5, p<0.0001, Test 6;  2 (3, 182)=55.7, p<0.0001, Test 7;  2 (3, 182)=11.8, p<0.005, but higher scores in tests measuring trunk and shoulder mobility Test 8;  2 (3, 182)=18.2, p<0.0001, Test 9;  2 (3, 182)=22.2, p=0.006. Conclusions:The 9+ intra-rater reliability was acceptable for the total score and individual tests. Age-related differences were provided in many individual tests.

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“…The 9+ screening battery total score among the 50 junior players in the reliability study varied from [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Characteristics of functional movement screening testing in elite handball players: Indicative data from the 9+

Rafnsson

Myklebust

Bahr

et al. 2019

Physical Therapy in Sport

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show abstract

“…In a meta-analysis by Bonazza et al (2017), it was found that the odds of sustaining an injury in the future was 2.7 higher with a score ≤ 14 points on the FMS™. Their results were supported by Bunn, Rodrigues, and Bezerra da Silva (2019), concluding that participants classified as "high risk" by FMS™ were 1.5 more likely to be affected by injury than those classified as having low risk. In contrast to Bonazza et al (2017) and Bunn, Rodrigues, and Bezerra da Silva (2019), Moran, Schneiders, Mason, and Sullivan (2017) concluded that the weak association between the composite score in FMS™ and subsequent injury questions its use as an injury prediction tool.…”

Section: Introductionmentioning

confidence: 83%

“…It has been argued whether screening tests can be a useful tool to predict injuries due to lack of sufficient accuracy (Bahr, 2016;Bonazza et al, 2017;Bunn, Rodrigues, and Bezerra da Silva, 2019;Moran, Schneiders, Mason, and Sullivan, 2017). One of the most frequently used movement screening tools to predict injury risk is the Functional Movement Screen (FMS™) (Bonazza et al, 2017;Moran, Schneiders, Mason, and Sullivan, 2017).…”

Section: Introductionmentioning

confidence: 99%

Handball and movement screening – can non-contact injuries be predicted in adolescent elite handball players? A 1-year prospective cohort study

Karlsson

Heijne

Rosen

2019

Physiotherapy Theory and Practice

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Introduction: The nine-test screening battery (9SB) consists of 11 tests used to assess injury risk in sports populations. Objectives: To evaluate the predictive value of the composite score and underlying factors of the 9SB for sustaining non-contact injury in adolescent elite handball players. Methods: Forty-five (23 females) adolescent elite handball players, median age 17 (range 16-18), pre-seasonally performed the 9SB, followed by weekly recordings of injuries for 52 weeks using a web-based questionnaire. Results: The median value for seasonal substantial injury prevalence was 22% (25-75 th percentiles 6-41). An exploratory factor analysis extracted three factors, complex movements, mobility, and lower extremity control, that explained a cumulative variance of 56%, where each factor contributed with 13-26% of the total variance. Based on the identified cutoff values, none of the factors or the complete 9SB could predict the risk of a non-contact new injury as well as the risk of reporting a substantial injury. Area under the curve values were ranged 0.50 to 0.59, with the corresponding 95% CI including 0.50 for all factors. Conclusion: Based on the limited predictive ability of the 9SB, it is not recommended that clinicians use the 9SB to predict injury in adolescent elite handball players.

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Effects of functional training on muscle strength, jumping, and functional movement screen in wushu athletes: A systematic review

Wang,

Soh,

Deng

et al. 2024

Heliyon

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The association between the functional movement screen outcome and the incidence of musculoskeletal injuries: A systematic review with meta-analysis

Cited by 38 publications

References 36 publications

Characteristics of functional movement screening testing in elite handball players: Indicative data from the 9+

Characteristics of functional movement screening testing in elite handball players: Indicative data from the 9+

Handball and movement screening – can non-contact injuries be predicted in adolescent elite handball players? A 1-year prospective cohort study

Effects of functional training on muscle strength, jumping, and functional movement screen in wushu athletes: A systematic review

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