Predicting sport and occupational lower extremity injury risk through movement quality screening: a systematic review

Whittaker, Jackie L.; Booysen, Nadine; Motte, Sarah de la; Dennett, Liz; Lewis, Cara L.; Wilson, Dave; McKay, Carly; Warner, Martin; Padua, Darin A.; Emery, Carolyn A.; Stokes, María

doi:10.1136/bjsports-2016-096760

Cited by 75 publications

(48 citation statements)

References 34 publications

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“…Whitaker et al published a systematic review in 2016 investigating movement quality (15 out of 17 studies used FMS™ as the screening tool) and association with sport and occupational LE injury. 19 Based upon the quality of the individual studies included and mixed findings across studies, they reported that there was inconsistent evidence that poor movement quality was associated with increased risk of LE injury. 19 Two additional articles published in 2015 8,20 studying a similar population to the one in the current study, also showed similar results.…”

Section: Discussionmentioning

confidence: 99%

“…19 Based upon the quality of the individual studies included and mixed findings across studies, they reported that there was inconsistent evidence that poor movement quality was associated with increased risk of LE injury. 19 Two additional articles published in 2015 8,20 studying a similar population to the one in the current study, also showed similar results. The first article 20 investigated the FMS™ and found the FMS™ composite score to be a poor predictor of injury in a cohort of 167 male and female Division I collegiate athletes, with data collected across basketball, football, volleyball, cross country, track and field, swimming and diving, soccer, golf, and tennis athletes.…”

Section: Discussionmentioning

confidence: 99%

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Validity of Functional Screening Tests to Predict Lost-Time Lower Quarter Injury in a Cohort of Female Collegiate Athletes

Walbright¹,

Walbright

Ojha

et al. 2017

Intl J Sports Phys Ther

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Background: Lower quarter injuries account for more than 50% of all injuries in collegiate athletics. Neuromuscular screening tests could potentially identify athletes who are at risk for sustaining an injury. While previous research has studied individual tests, the authors of this paper are unaware of any study that has compared diagnostic accuracy of multiple neuromuscular screening tests within one study cohort. Hypothesis/Purpose:The purpose of this study was to examine the accuracy of three common neuromuscular screening tests to predict the occurrence of a lower quarter injury in female collegiate volleyball and basketball players. Study Design: Prospective CohortMethods: Thirty-five subjects underwent a pre-season screening by performing the Y-balance test, the Functional Movement Screen™, and Single Leg Hop test. Data were collected on lower quarter injury incidence, lost practice time, and lost competition time among subjects throughout the course of one season. Receiver operating characteristics curves were plotted and area under the curve was calculated to assess the relationship between lower extremity injury incidence and the scores of the functional tests. Results:Lost-time injuries occurred in 11 athletes (31.4%), of whom, six athletes (17.1%) lost 50 hours or greater. There were no significant relationships between occurrence of a lost-time lower extremity injury and scores on any of the three tests. Positive and negative likelihood ratios all included the value of 1.0. Conclusions:Although reliable, the screening tests under study did not appear to retain adequate validity to predict lower quarter injury risk within these female collegiate athletes. Level of Evidence: Level 2b

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Validity of Functional Screening Tests to Predict Lost-Time Lower Quarter Injury in a Cohort of Female Collegiate Athletes

Walbright¹,

Walbright

Ojha

et al. 2017

Intl J Sports Phys Ther

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“…Functional movement and sports performance tests are used to assess an athlete's conditions and prevent sportrelated injuries [4]. These tests could also be used as clinical tests to predict the risk of sports injury, because poor physical fitness, improper movement pattern, and insufficient sensorimotor control are vital factors in sports injuries [4,5]. Clinical screening tests, such as the functional movement screen (FMS), star excursion balance test (SEBT), and agility and muscle power tests, are commonly used to assess sports performance and injury prevention [6].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Functional Movement Screen, Star Excursion Balance Test, and Physical Fitness in Junior Athletes with Different Sports Injury Risk

Chang

Chou

Chang

et al. 2020

BioMed Research International

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Objectives. The aim of this study was to assess the relationships between functional movement screen (FMS), star excursion balance test (SEBT), agility T test, and vertical jump test scores and sports injury risk in junior athletes. We compared these assessments and the differences between groups with high and low risks of sports injury. Subjects and Methods. Eleven volleyball, 12 basketball, and 9 handball athletes were recruited. All participants followed the routine training in school sports teams. Weekly training schedules followed a similar pattern. The 32 junior athletes (age=16.06±0.21 years; height=167.28±6.32 cm; and body mass=68.45±9.67 kg) were assessed using the FMS, SEBT, agility T test, and vertical jump test in random order. The correlations of composite and individual item scores of these assessments were analyzed, and the differences between groups with high and low risks of sports injury were compared. Results. All participants completed the study protocol. No significant differences were observed between FMS, SEBT, agility T test, and vertical jump test scores in groups with high and low risks of sports injuries. Fair and moderate-to-good correlations were observed for anterior reach maximum of SEBT and deep squat (r=0.47, P=0.02) as well as inline lunge (r=0.53, P=0.01) of FMS. The hurdle step of FMS also exhibited moderate-to-good (r=0.52, P=0.01) and fair (r=0.42, P=0.04) correlations with posterior medial and posterior lateral reach maximum of SEBT, respectively. A fair correlation was observed between posterior lateral reach maximum of SEBT and rotary stability of FMS (r=−0.23, P=0.03). Fair and moderate-to-good correlations were identified for agility T test and maximum anterior reach in the SEBT (r=−0.42, P=0.04) and trunk stability push-up in the FMS, respectively (r=−0.57 and P=0.006). Conclusions. Junior athletes with a high risk of sports injury did not exhibit differences in terms of FMS, SEBT, and physical fitness test scores. Deep squat, hurdle step, inline lunge, and rotary stability scores in the FMS were correlated with the item scores in the SEBT, which may be due to the use of similar movement patterns. Scores for anterior reach maximum in the SEBT and trunk stability push-up in the FMS were correlated with agility T test scores, suggesting a similar task requirement of trunk stability and dynamic weight shifting ability.

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“…Lower limb exercises are used in rehabilitation, performance assessment, injury screening and strength and conditioning (S&C) contexts [1][2][3]. Movement is deemed 'optimal' during these exercises when injury-risk is minimised and performance is maximised [4].…”

Section: Introductionmentioning

confidence: 99%

Wearable Inertial Sensor Systems for Lower Limb Exercise Detection and Evaluation: A Systematic Review

et al. 2018

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BackgroundAnalysis of lower limb exercises is traditionally completed with four distinct methods (i) 3D motion capture; (ii) depth-camera based systems (iii) visual analysis from a qualified exercise professional; (iv) self-assessment. Each method is associated with a number of limitations. ObjectiveThe aim of this systematic review is to synthesize and evaluate studies which have investigated the capacity for inertial measurement unit (IMU) technologies to assess movement quality in lower limb exercises. Data SourcesA systematic review of PubMed, ScienceDirect and Scopus was conducted. Study Eligibility CriteriaArticles written in English and published in the last 10 years which contained an IMU system for the analysis of repetition-based targeted lower limb exercises were included. Study Appraisal and Synthesis MethodsThe quality of included studies was measured using an adapted version of the STROBE assessment criteria for cross-sectional studies. The studies were categorised in to three groupings: exercise detection, movement classification or measurement validation. Each study was then qualitatively summarised. ResultsFrom the 2452 articles that were identified with the search strategies, 47 papers are included in this review. ConclusionsWearable inertial sensor systems for analysing lower limb exercises are a rapidly growing technology. Research over the past ten years has predominantly focused on validating measurements that the systems produce and classifying users' exercise quality. There have been very few user evaluation studies and no clinical trials in this field to date. Key PointsInertial measurement unit (IMU) systems have been extensively validated to successfully measure joint angle and temporal features during lower limb exercises.It is less understood if IMU systems can validly compute kinetic measures pertaining to lower limb exercises.IMU systems, which incorporate machine learning in to their data analysis pathways, have also been found to be effective in automated exercise detection and in classifying movement quality across a range of lower limb exercises.3

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Predicting sport and occupational lower extremity injury risk through movement quality screening: a systematic review

Cited by 75 publications

References 34 publications

Validity of Functional Screening Tests to Predict Lost-Time Lower Quarter Injury in a Cohort of Female Collegiate Athletes

Validity of Functional Screening Tests to Predict Lost-Time Lower Quarter Injury in a Cohort of Female Collegiate Athletes

Comparison of Functional Movement Screen, Star Excursion Balance Test, and Physical Fitness in Junior Athletes with Different Sports Injury Risk

Wearable Inertial Sensor Systems for Lower Limb Exercise Detection and Evaluation: A Systematic Review

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