Functional Movement Screen as a Predictor of Occupational Injury Among Denver Firefighters

Shore, Erin; Dally, Miranda; Brooks, S. H.; Ostendorf, Danielle M.; Newman, Madeline; Newman, Lee S.

doi:10.1016/j.shaw.2020.04.006

Cited by 9 publications

(4 citation statements)

References 15 publications

(21 reference statements)

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“…Their responsibilities were different from those in charge of apprehending offenders. A study conducted in the United States exploring the association between FMS score and a worker’s compensation claim found that the FMS did not predict future occupational injuries among Denver Fire Department firefighters [ 18 ]. All injuries caused by sports are categorized as sports injuries, including injuries produced because of work activities during working hours that meet the identification standard, namely, occupational injuries.…”

Section: Discussionmentioning

confidence: 99%

Criterion Validity of Functional Movement Screen as a Predictor of Sports Injury Risk in Chinese Police Staff

Huang

Liu

2022

IJERPH

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The occurrence of sports injury has been proven to be highly associated with injury history. (1) Background: This study aimed to validate the feasibility and effectiveness of the Functional Movement Screen (FMS) as a predictor of sports injury risk for Chinese police staff by exploring the optimal cut-off value of the FMS total score for the identification of previous injury. (2) Methods: More than 160 Chinese police staff were recruited and completed the FMS and interviews. The recorders of 148 (79 females and 69 males) participants met the data analysis requirements. For the goal of evaluating the total score of the FMS as a predictor of sports injury risk, all data underwent statistical analysis, calculation of ROC and AUC, evaluation of threshold validity, and so on. (3) Results: The total score frequency distribution of participants’ FMS presented the shape of a normal distribution. The statistical results of the study showed that the FMS composite scores (10.6 ± 2.28) of the police staff with a sports injury history were indeed less than those without an injury history (12.4 ± 2.26). The threshold of a total score of the FMS test that warned of a sports injury risk in Chinese police staff on the basis of a previous injury history was 13.5, with an acceptable AUC value (0.701). In accord with the real social environment and the rule of natural human physiological change, the FMS results of this study showed a distinct deterioration trend with increasing age. (4) Conclusions: The FMS deserves consideration by trainers and clinicians as a pre-exercise physical examination for Chinese police staff to avoid sports injury.

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Section: Discussionmentioning

confidence: 99%

Criterion Validity of Functional Movement Screen as a Predictor of Sports Injury Risk in Chinese Police Staff

Huang

Liu

2022

IJERPH

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“…Purpose: This example exhibits the regular correlative beat of the scapular-thoracic area, thoracic spine and rib confine during corresponding furthest point shoulder movements. This likewise watches two-sided shoulder scope of movement, consolidating expansion, inward turn and adduction in one limit, and flexion, outside pivot, and snatching of the other (Shore, E., et al (2020). In this test 0 players get 0 score, 1 player get 1 score, 8 players get 2 scores and 1 player get 3 score as shown in figure1-4.…”

Section: ____________________________________________________________mentioning

confidence: 94%

Functional Movement Screening: A study on National Level Judo Players of Pakistan

Raza

Tabassum

2021

ojs

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Background: Functional Movement Screening (FMS) is a tool to screen the musculoskeletal factors of injury or dysfunctionality patterns in sports. The establishment of functional movement screening (FMS) has built a bridge between physiotherapy, rehabilitation, and physical training, to realize the integration of multiple disciplines. This study tends to investigate musculoskeletal risk factors through the FMS of Judo players in Pakistan. Method: A total of 10 national-level athletes were selected who had been national-level competitors in Pakistan. Different movement patterns/drills prescribed by FMS were performed by them under a secure environment. These movement patterns were designed to provide observable performance of basic locomotor, scheming, and stabilizing movements by putting a person in severe positions where weaknesses and imbalances become noticeable if proper movement and motor control are not utilized。FMS score sheet was used for marking along with total scores of all drills. Conclusion: Results showed that the majority of the Judo athletes were found under standardized grading out of whom only three players were able to get marked above 16 out of 21. Athletes were unaware of FMS and the majority of athletes failed to perform FMS drills which caused them problems in their balance, flexibility, and agility.

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“…Injury is a significant concern within first responder and military populations (2,17,20). The Functional Movement Screen (FMS) is commonly used to identify compensations when performing 7 specific movement patterns (deep squat [DS], hurdle step [HS], inline lunge [ILL], shoulder mobility [SM], active straight leg raise [ASLR], trunk stability push-up [PU], and rotary stability [RS]) (5,6).…”

Section: Introductionmentioning

confidence: 99%

Development of an Abbreviated Model for Predicting Functional Movement Screen Score Within Tactical Populations

Thompson,

Johnson,

Lindsay

et al. 2024

Journal of Strength &Amp; Conditioning Research

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Thompson, MB, Johnson, QR, Lindsay, KG, and Dawes, JJ. Development of an abbreviated model for predicting functional movement screen score within tactical populations. J Strength Cond Res 38(3): 607–611, 2024—The Functional Movement Screen (FMS) is a tool commonly used to identify compensations when performing 7 specific movement patterns. Timely administration of the full FMS is largely dependent on the practitioner's familiarity and experience with the screening battery. When working in populations that are time-poor (i.e., tactical professionals), administration of the full movement pattern battery is not always feasible. The purpose of this study was to determine which, if any, combination of movement patterns that comprise the FMS could be used to predict total score on this screen among first responders. Functional Movement Screen scores for 99 male subjects (mean ± SD; age: 37.55 ± 9.83 years; height: 180.38 ± 6.59 cm; and body mass: 97.87 ± 15.32 kg) and 9 female subjects (age: 33.22 ± 3.99 years; height: 172.11 ± 8.19 cm; and body mass: 83.99 ± 14.09 kg) from a single law enforcement and fire agency were used for this analysis. Subjects performed the full FMS, which consisted of the following movement patterns: deep squat (DS), hurdle step (HS), in-line lunge (ILL), shoulder mobility (SM), active straight leg raise (ASLR), trunk stability push-up (PU), and rotary stability (RS). A stepwise regression was used to determine the best predictors of the FMS 7-pattern model based on the model's R 2. Cronbach's alpha and Guttman's lambda-2 were used to determine the reliability of the proposed models. The regression indicated that a 4-pattern model consisting of DS, ILL, SM, and PU was sufficient to predict approximately 84% of the full model (adjusted R 2 = 0.84, p ≤ 0.001). This 4-pattern model was shown to be reliable with the 7-pattern model (α = 0.93, λ = 0.93). Using this modified version of the FMS may allow practitioners working in tactical populations a time-efficient method of identifying dysfunctional movement and determine whether the full 7-pattern model of the FMS should be considered.

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Functional Movement Screen as a Predictor of Occupational Injury Among Denver Firefighters

Cited by 9 publications

References 15 publications

Criterion Validity of Functional Movement Screen as a Predictor of Sports Injury Risk in Chinese Police Staff

Criterion Validity of Functional Movement Screen as a Predictor of Sports Injury Risk in Chinese Police Staff

Functional Movement Screening: A study on National Level Judo Players of Pakistan

Development of an Abbreviated Model for Predicting Functional Movement Screen Score Within Tactical Populations

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