scholarly journals Developing predictive models for return to work using the Military Power, Performance and Prevention (MP3) musculoskeletal injury risk algorithm: a study protocol for an injury risk assessment programme

2016 ◽  
Vol 24 (1) ◽  
pp. 81-88 ◽  
Author(s):  
Daniel I Rhon ◽  
Deydre S Teyhen ◽  
Scott W Shaffer ◽  
Stephen L Goffar ◽  
Kyle Kiesel ◽  
...  
Keyword(s):  
Lower Extremity ◽  
Return To Work ◽  
Injury Risk ◽  
Prediction Models ◽  
Primary Source ◽  
Musculoskeletal Injury ◽  
Musculoskeletal Injuries ◽  
Power Performance ◽  
Risk Of Injury ◽  
Risk Algorithm

BackgroundMusculoskeletal injuries are a primary source of disability in the US Military, and low back pain and lower extremity injuries account for over 44% of limited work days annually. History of prior musculoskeletal injury increases the risk for future injury. This study aims to determine the risk of injury after returning to work from a previous injury. The objective is to identify criteria that can help predict likelihood for future injury or re-injury.MethodsThere will be 480 active duty soldiers recruited from across four medical centres. These will be patients who have sustained a musculoskeletal injury in the lower extremity or lumbar/thoracic spine, and have now been cleared to return back to work without any limitations. Subjects will undergo a battery of physical performance tests and fill out sociodemographic surveys. They will be followed for a year to identify any musculoskeletal injuries that occur. Prediction algorithms will be derived using regression analysis from performance and sociodemographic variables found to be significantly different between injured and non-injured subjects.DiscussionDue to the high rates of injuries, injury prevention and prediction initiatives are growing. This is the first study looking at predicting re-injury rates after an initial musculoskeletal injury. In addition, multivariate prediction models appear to have move value than models based on only one variable. This approach aims to validate a multivariate model used in healthy non-injured individuals to help improve variables that best predict the ability to return to work with lower risk of injury, after a recent musculoskeletal injury.Trial registration numberNCT02776930.

Athletes with unilateral patellar tendinopathy have increased subsequent lower extremity musculoskeletal injury risk

2021 ◽  
pp. 1-21
Author(s):  
Thouraya Fendri ◽  
Haithem Rebai ◽  
Mohammed Achraf Harrabi ◽  
Fatma Chaari ◽  
Sébastien Boyas ◽  
...  
Keyword(s):  
Lower Extremity ◽  
Injury Risk ◽  
Musculoskeletal Injury ◽  
Patellar Tendinopathy

scholarly journals Transitioning Out of Professional Sport: The Psychosocial Impact of Career-Ending Non-Musculoskeletal Injuries Among Male Cricketers From England and Wales

2019 ◽  
Vol 13 (4) ◽  
pp. 629-644 ◽  
Author(s):  
Monna Arvinen-Barrow ◽  
Kelsey DeGrave ◽  
Stephen Pack ◽  
Brian Hemmings
Keyword(s):  
Interpretative Phenomenological Analysis ◽  
Injury Risk ◽  
Sport Injury ◽  
Career Transition ◽  
Musculoskeletal Injury ◽  
Musculoskeletal Injuries ◽  
Structured Interviews ◽  
Post Injury ◽  
England And Wales ◽  
Negative Effect

The purpose of this study was to document the lived experiences of professional cricketers who had encountered a career-ending non-musculoskeletal injury. Three male cricketers each with over nine years of playing experience in professional cricket representing England and Wales participated in retrospective in-depth semi-structured interviews. The Interpretative Phenomenological Analysis revealed that at the time of the injury, the participants were at the “final stretch” of their professional sporting careers and that despite a range of unpleasant reactions to injury, all participants experienced a healthy career transition out of sport. To best prepare athletes for a life outside of sport, ensuring athletes have sufficient plans in motion early on in their careers can reduce external and internal stressors, which if not addressed, can increase sport injury risk and have a negative effect on athletes’ reactions post-injury.

scholarly journals Impact of interventions on work-related outcomes for individuals with musculoskeletal injuries after road traffic crash: a systematic review protocol

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Charlotte L. Brakenridge ◽  
Elise M. Gane ◽  
Esther J. Smits ◽  
Nicole E. Andrews ◽  
Venerina Johnston
Keyword(s):  
Systematic Review ◽  
Sick Leave ◽  
Return To Work ◽  
Work Ability ◽  
Road Traffic ◽  
Musculoskeletal Injury ◽  
Musculoskeletal Injuries ◽  
Road Traffic Crash ◽  
Traffic Crash ◽  
Work Related

Abstract Background Musculoskeletal injuries are the most common non-fatal injury from road traffic crashes. Even when the injuries are mild, they can cause pain which can affect return to work rates and work ability post-crash. Workplace output losses are the biggest cost from traffic crash-related injuries. There is a need to identify effective interventions that can improve work-related outcomes (e.g. time to return to work, sick leave, and work ability) in this group and a need to understand the intervention components, external factors, and participant characteristics that may be associated with improvement. Methods A systematic review will be conducted using seven databases and search terms related to road traffic crash, musculoskeletal injury, work-related outcomes, and study design. Intervention studies will be eligible if they report on at least one work-related outcome, include adults with a traffic crash-related musculoskeletal injury (e.g. fracture or whiplash), include a comparison group, and are written in English. Interventions can be medical, therapeutic, work-based, multicomponent, or other. Two researchers will independently screen titles and abstracts, review full texts for inclusion in the review, and perform the data extraction. The main outcomes of the review will be time until return to work and duration of sick leave. The results will be narratively described, with meta-analyses conducted where possible. Discussion This review will explore the effectiveness of interventions in individuals with traffic crash-related musculoskeletal injury on work-related outcomes and will act as a useful source for researchers, policy makers, and stakeholders when developing and implementing interventions in this group. Systematic review registration PROSPERO CRD42018103746

scholarly journals Lower Extremity Flexibility Profile in Basketball Players: Gender Differences and Injury Risk Identification

2021 ◽  
Vol 18 (22) ◽  
pp. 11956
Author(s):  
Antonio Cejudo
Keyword(s):  
Gender Differences ◽  
Lower Extremity ◽  
Injury Risk ◽  
Sports Injuries ◽  
Risk Identification ◽  
Ankle Dorsiflexion ◽  
Basketball Players ◽  
Risk Of Injury ◽  
Hip Abduction ◽  
Hip Flexion

Analysis of the flexibility profile of basketball players (BPs) can reveal differences in range of motion (ROM) by gender and also identify those players who are at higher risk for sports injuries. A descriptive observational study was conducted to determine the lower extremity flexibility profile of sixty-four basketball players and gender differences to identify players at higher risk of injury due to limited and asymmetric ROM in one or more movements. Participants: Sixty-four (33 male and 31 female) competitive athletes from the national leagues of the Spanish basketball league system participated in the present study (power of sample size ≥0.99). The eight passive ROM tests of the hip, knee and ankle were assessed using the ROM-SPORT battery. Each player completed a questionnaire on age, basic anthropometric data, dominant extremities, and training and sport-related variables. The lower extremity flexibility profile was established at 15° and 10° hip extension (HE), 39° and 38° ankle dorsiflexion with knee extended (ADF-KE), 40° and 39° ankle dorsiflexion with knee flexed (ADF-KF), 43° and 43° hip abduction (HAB), 75° and 61° hip abduction with the hip flexed (HAB-HF), 78° and 83° hip flexion with the knee extended (HF-KE), 134° and 120° knee flexion (KF), and 145° and 144° hip flexion (HF) by male and female basketball players, respectively. Sex differences in HE, HAB-HF, and KF were observed in BPs (p ≤ 0.01; Hedges’ g ≥ 1.04). Players reported limited ROM in ADF-KF, HE, HAB-HF, HF-KE, and KF; and asymmetric ROM mainly in HE, ADF-KE, KF, ADF-KF, and HF-KE. In conclusion, this study provides gender-specific lower extremity flexibility profile scores in BPs that can help athletic trainers and athletic and conditioning trainers to identify those players who are at higher risk of injury due to abnormal ROM scores.

Musculoskeletal Injuries and Their Association With Previous Concussion History: A Prospective Study of High School Volleyball and Soccer Players

2021 ◽  
pp. 036354652199711
Author(s):  
Kevin M. Biese ◽  
Stephanie A. Kliethermes ◽  
Andrew M. Watson ◽  
Timothy A. McGuine ◽  
Pamela J. Lang ◽  
...  
Keyword(s):  
High School ◽  
Lower Extremity ◽  
Female Athletes ◽  
Musculoskeletal Injury ◽  
Musculoskeletal Injuries ◽  
Lower Extremity Injury ◽  
Extremity Injury ◽  
Adolescent Athletes ◽  
Injury Rates ◽  
The Past

Background: Sports-related concussions may have a neurobiological recovery period that exceeds the period of clinical recovery, and one consequence of an extended neurobiological recovery may be the risk of subsequent musculoskeletal injuries. Most literature citing an increased risk of musculoskeletal injury after a sports-related concussion has been reported in populations other than adolescent athletes. Purpose/Hypothesis: The purpose was to prospectively determine if incidence rates of musculoskeletal injury differ between adolescent athletes with and without a previous sports-related concussion, while controlling for sex, sport, and age. A secondary aim was to determine if this relationship differs between male and female athletes of the same sport. Our hypotheses were that acute-noncontact injury rates would be higher in athletes with a previous sports-related concussion when compared with athletes without a previous sports-related concussion, and that this relationship would exist only in female athletes and not male athletes. Study Design: Cohort study; Level of evidence, 2. Methods: High school soccer and volleyball players were recruited in 2 prospective cohort studies that observed 4837 athletes during their sporting season (females, 80%; soccer, 57%; mean [SD] age, 15.6 [1.1] years). At preseason, all participants self-reported demographics and previous sports-related concussion within the past 12 months. During the sport season, team athletic trainers electronically recorded athlete exposures and injury data, including injury characteristics. Injury rates per 1000 athlete exposures and injury rate ratios (IRRs) with 95% confidence intervals were calculated. All injury rates and IRRs were adjusted for sex, age, and sport. Results: The rate of acute-noncontact lower extremity injury was 87% greater (IRR, 1.87; 95% CI, 1.29-2.74) in participants with a previous sports-related concussion versus those without one. The acute-noncontact lower extremity injury rates (IRRs) for females and males with a previous sports-related concussion were 1.76 (95% CI, 1.19-2.59) and 2.83 (95% CI, 0.85-9.50), respectively. No difference was detected in acute-contact (IRR, 0.98; 95% CI, 0.56-1.73) or overuse (IRR, 1.09; 95% CI, 0.51-2.37) lower extremity injury rates by previous sports-related concussion. Conclusion: Female adolescent athletes who reported a sports-related concussion within the past 12 months were more likely to sustain an acute-noncontact lower extremity injury during their high school sports season when compared with female athletes without a previous sport-related concussion.

scholarly journals Association Between Markerless Motion Capture Screenings and Musculoskeletal Injury Risk for Military Trainees: A Large Cohort and Reliability Study

2021 ◽  
Vol 9 (10) ◽  
pp. 232596712110416
Author(s):  
Ben R. Hando ◽  
W. Casan Scott ◽  
Jacob F. Bryant ◽  
Juste N. Tchandja ◽  
Ryan M. Scott ◽  
...  
Keyword(s):  
Lower Extremity ◽  
Motion Capture ◽  
Injury Risk ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Musculoskeletal Injury ◽  
Retest Reliability ◽  
Intraclass Correlation Coefficients ◽  
Markerless Motion Capture ◽  
Test Retest Reliability

Background: Markerless motion capture (MMC) systems used to screen for musculoskeletal injury (MSKI) risk have become popular in military and collegiate athletic settings. However, little is known regarding the test-retest reliability or, more importantly, the ability of these systems to accurately identify individuals at risk for MSKI. Purpose: To determine the association between scores from a proprietary MMC movement screen test and the likelihood of suffering a subsequent MSKI and establish the test-retest reliability of the MMC system used. Study Design: Cohort study; Level of evidence, 3. Methods: Trainees for the Air Force Special Warfare program underwent MMC screenings immediately before entering the 8-week training course. MSKI data were extracted from a database for the surveillance period for each trainee. Logistic regression analyses were performed to identify associations between baseline MMC scores and the likelihood of suffering any MSKI or, specifically, a lower extremity MSKI. The test-retest portion of the study collected MMC scores from 10 separate participants performing 4 trials of the standard test procedures. Reliability was assessed using intraclass correlation coefficients by a single rater. Results: Overall, 1570 trainees, of whom 800 (51%) suffered an MSKI, were included in the analysis. MMC scores poorly predicted the likelihood of any or a lower extremity MSKI (odds ratio, 1.01-1.02). Further, receiver operating characteristic curve analyses demonstrated poor sensitivity and specificity for prediction of MSKI with MMC scores (area under the curve = 0.53). Finally, intraclass correlation coefficients from the test-retest analysis of MMC scores ranged from 0.157 to 0.602. Conclusion: This MMC system displayed poor to moderate test-retest reliability and did not demonstrate the ability to discriminate between individuals who were and were not likely to suffer an MSKI.

Field-expedient screening and injury risk algorithm categories as predictors of noncontact lower extremity injury

2013 ◽  
Vol 23 (4) ◽  
pp. e225-e232 ◽  
Author(s):  
M. E. Lehr ◽  
P. J. Plisky ◽  
R. J. Butler ◽  
M. L. Fink ◽  
K. B. Kiesel ◽  
...  
Keyword(s):  
Lower Extremity ◽  
Injury Risk ◽  
Lower Extremity Injury ◽  
Extremity Injury ◽  
Risk Algorithm

scholarly journals The Impact of Prior Musculoskeletal Injury and Orthopaedic Surgery on Draft Position, Availability, and Performance in Major League Baseball: A Summative Analysis of 1,890 Predraft Players

2019 ◽  
Vol 7 (7_suppl5) ◽  
pp. 2325967119S0044
Author(s):  
Prem N. Ramkumar ◽  
Sergio M. Navarro ◽  
Bryan C. Luu ◽  
Heather S. Haeberle ◽  
Lonnie Soloff ◽  
...  
Keyword(s):  
Medical Records ◽  
Medical Personnel ◽  
Musculoskeletal Injury ◽  
Musculoskeletal Injuries ◽  
Anova Analysis ◽  
Short Term ◽  
Batting Average ◽  
Risk Of Injury ◽  
And Performance ◽  
The Impact

Objectives: Despite the value to future coaches, franchise management, and medical personnel, little is known about the epidemiology of musculoskeletal injuries and surgeries and their future impact prior to the MLB draft. The purpose of this study was to determine the (1) epidemiology of all musculoskeletal injuries and surgeries for predraft MLB players; (2) risk of injury or surgery on draft position; (3) risk of injury or surgery on availability within the first two years; and (4) risk of injury or surgery on performance. Methods: A total of 1,890 medical records conducted by MLB team physicians prior to the draft were retrospectively reviewed from 2014 to 2018. Players were divided into three groups: non-injured (no musculoskeletal history), non-operative (previously injured but treated non-operatively), and operative (previous injury requiring surgery). Game statistics, including draft round, missed games, batting average (BA), and earned run average (ERA) for the first 2 seasons of MLB play were obtained for all available players, Players were matched for position, and confounders were analyzed for age, draft round using ANOVA analysis. Results: A total of 927 pitchers and 963 position players were evaluated, and 38.9% had no reported injury history, 48.6% reported injury but were treated non-operatively, and 12.4% were treated operatively. The most common pre-draft injuries were elbow tendonitis (n=312), UCL injury (n=212), and shoulder labral tear (n=76). The most common pre-draft treatments were physical therapy (922, 25.3%), UCL reconstruction (115, 3.2%), and fracture fixation (69, 1.9%). No difference was found between non-injured, non-operative, and operative groups in terms of draft position, games missed, and performance (BA for position players, p = 0.7246; ERA for pitchers, p=0.1956). After position matching, age and draft round were non-confounding. Conclusion: More than half of players entering the MLB report a musculoskeletal injury requiring treatment, with the most common pathology involves the shoulder and elbow. After position matching and analyzing for confounding factors like age and draft round, musculoskeletal history did not macroscopically impact draft position, short-term availability, or performance.

scholarly journals Machine Learning to Predict Lower Extremity Musculoskeletal Injury Risk in Student Athletes

2020 ◽  
Vol 2 ◽  
Author(s):  
Maria Henriquez ◽  
Jacob Sumner ◽  
Mallory Faherty ◽  
Timothy Sell ◽  
Brinnae Bent
Keyword(s):  
Machine Learning ◽  
Lower Extremity ◽  
Injury Risk ◽  
Student Athletes ◽  
Musculoskeletal Injury

The Axial Impact Response and Plantar Load Distribution of the Hybrid III and MIL-Lx Under Altered Ankle Postures

2021 ◽  
Author(s):  
Julia de Lange ◽  
Cheryl Quenneville
Keyword(s):  
Lower Extremity ◽  
Load Distribution ◽  
Injury Risk ◽  
Motor Vehicle ◽  
Ankle Injuries ◽  
Plantar Surface ◽  
Piezoresistive Sensors ◽  
Risk Of Injury ◽  
Foot Injury ◽  
Hybrid Iii

Abstract Foot injuries as a result of automotive collisions are frequent and impactful. Anthropomorphic Test Devices (ATDs), used to assess injury risk during impact scenarios such as motor vehicle collisions, typically assess risk of foot/ankle injuries by analyzing data in tibia load cells. The peak axial force (Fz) and the Tibia Index (TI) are metrics commonly used to evaluate risk of injury to the lower extremity but do not directly account for injury risk to the foot, or the risk of injury associated with out-of-position loading. Two ATDs, the Hybrid III lower leg and the Military Lower Extremity (MIL-Lx), were exposed to axial impacts at seven different ankle postures. An array of piezoresistive sensors located on the insole of a boot was employed during these tests to assess the load distribution variations among postures and between ATD models on the plantar surface of the foot. Both posture and ATD model affected the load distribution on the foot, highlighting the need for regional injury risk assessments in this vulnerable anatomical region. The increase in forefoot loading during plantarflexion was not reflected in the standard industry metrics of Fz or TI, suggesting that increased fracture risk to the forefoot would not be detected. The variations in load distribution between the models could also alter injury risk assessment in frontal collisions based on differences in attenuation. These data could be used for regional foot injury assessment and to inform the design of an improved ATD foot.

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