ArticleSports health
Identification of Risk Factors Prospectively Associated With Musculoskeletal Injury in a Warrior Athlete Population.
Article in Sports health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06268366 (Effects of Exercise-Based Interventions on Symmio Self-Movement Screen Scores in Untrained Adults_ A Randomized Controlled Trial), which is not on this map. Cited by 35 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effects of Exercise-Based Interventions on Symmio Self-Movement Screen Scores in Untrained Adults_ A Randomized Controlled Trial
Who cites it
35 citing papers in PubMed.
- Can Baseline Recruit Characteristics Predict Actual Injuries Sustained During New Zealand Army Basic Training?Military medicine · 2026Article
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- Model for Musculoskeletal Injury Risk Factors Among US Army Basic Combat Trainees.JAMA network open · 2025Article
- Incidence of Occupational Injuries Among Military Working Dog Handlers, 2016-2023.American journal of industrial medicine · 2025Article
- Predictive Utility of the Functional Movement Screen and Y-Balance Test: Current Evidence and Future Directions.Sports (Basel, Switzerland) · 2025Review
- Does a Standardized Load Carriage Increase Spatiotemporal Gait Asymmetries in Police Recruits? A Population-based Study.Military medicine · 2025Article
- Movement Clearing Screens for Military Service Member Musculoskeletal Injury Risk Identification.Journal of athletic training · 2025Article
- Collegiate Student-Athlete Perception of Value and Programming Barriers in Pre-Participation Movement Screen Implementation.International journal of sports physical therapy · 2025Article
- Spatiotemporal Gait Asymmetries Remain Unaffected by Increased Load Carriage in Professional Intervention Police Officers.Bioengineering (Basel, Switzerland) · 2024Article
- Side differences in upper quarter mobility/stability are not related to serve velocity in tennis players with different levels of training experience.BMC research notes · 2024Article
- Carrying Police Load Increases Gait Asymmetry in Ground Reaction Forces and Plantar Pressures Beneath Different Foot Regions in a Large Sample of Police Recruits.Bioengineering (Basel, Switzerland) · 2024Article
- Precision Rehabilitation After Neurostimulation Implantation for Multifidus Dysfunction in Nociceptive Mechanical Chronic Low Back Pain.Archives of rehabilitation research and clinical translation · 2024Article
- Predictive Validity of Multifactorial Injury Risk Models and Associated Clinical Measures in the U.S. Population.Sports (Basel, Switzerland) · 2024Article
- Genetic Variations in Susceptibility to Traumatic Muscle Injuries and Muscle Pain among Brazilian High-Performance Athletes.International journal of molecular sciences · 2024Article
- A machine learning framework to classify musculoskeletal injury risk groups in military service members.Frontiers in artificial intelligence · 2024Article
- Limitations of Separating Athletes into High or Low-Risk Groups based on a Cut-Off. A Clinical Commentary.International journal of sports physical therapy · 2024Article
- Risk Factors for Musculoskeletal Health: A Review of the Literature and Clinical Application.International journal of sports physical therapy · 2024Article
- Profiles of Recruits Entering Army Basic Training in New Zealand.Military medicine · 2023Article
- Female Collegiate Dancers' Physical Fitness across Their Four-Year Programs: A Prospective Analysis.Journal of functional morphology and kinesiology · 2023Article
- Musculoskeletal Injury Risk Stratification: A Traffic Light System for Military Service Members.Healthcare (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMusculoskeletal injuries are a primary source of disability. Understanding how risk factors predict injury is necessary to individualize and enhance injury reduction programs. HYPOTHESIS: Because of the multifactorial nature of musculoskeletal injuries, multiple risk factors will provide a useful method of categorizing warrior athletes based on injury risk. STUDY
designProspective observational cohort study. LEVEL OF EVIDENCE: Level 2.
methodsBaseline data were collected on 922 US Army soldiers/warrior athletes (mean age, 24.7 ± 5.2 years; mean body mass index, 26.8 ± 3.4 kg/m
resultsOf the 922 warrior athletes, 38.8% suffered a time-loss injury (TLI). Overall, 35 variables had a significant relationship with TLIs. The logistic regression equation, consisting of 11 variables of interest, was significant (adjusted
conclusionThe sum of individual risk factors (prior injury, prior work restrictions, lower perceived recovery from injury, asymmetrical ankle dorsiflexion, decreased or asymmetrical performance on the Lower and Upper Quarter Y-Balance test, pain with movement, slower 2-mile run times, age, and sex) produced a highly sensitive and specific multivariate model for TLI in military servicemembers. CLINICAL RELEVANCE: A better understanding of characteristics associated with future injury risk can provide a foundation for prevention programs designed to reduce medical costs and time lost.
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