ArticlePeerJ2021
Prediction and injury risk based on movement patterns and flexibility in a 6-month prospective study among physically active adults.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- A comparison of dynamic warm-up and "warm-up" using self-massage tools on subsequent sit-and-reach displacement.PloS one · 2024Trial
- Diurnal variation in physical activity and musculoskeletal injury risk across sex and habitual exercise timing among physically active students.Scientific reports · 2026Article
- Sit-to-Stand Navicular Drop Test-Based Injury Risk Zones Derived from a U-Shaped Relationship in Male University Athletes.Journal of clinical medicine · 2026Article
- Integrated Behavioral Profiles of Physical Activity and Dietary Intake in Young Adults and Their Associations with Lower Limb Injury Occurrence.Nutrients · 2025Article
- Predictive Models for Injury Risk Across Body Regions and Sport Types in Physically Active Students: Cross-Sectional Design.Journal of clinical medicine · 2025Article
- Youth Soccer Lower Extremity Injuries Presenting to US Emergency Departments Are Decreasing: A 10-Year Analysis of National Injury Data.Arthroscopy, sports medicine, and rehabilitation · 2025Article
- Physical Activity Together for MS: Quality Participation Experiences of People With Multiple Sclerosis and Their Caregivers in a Dyadic Physical Activity Intervention.International journal of MS care · 2025Article
- Frontal Plane Body Posture as a Predictor of Musculoskeletal Injuries in Amateur Athletes: A Comprehensive Study of 89 Participants Over 12 Months.Medical science monitor : international medical journal of experimental and clinical research · 2024Article
- The Impact of Interaction between Body Posture and Movement Pattern Quality on Injuries in Amateur Athletes.Journal of clinical medicine · 2024Article
- Prognostic Power of Foot Mobility in Identifying the Risk of Musculoskeletal Injuries: A Cross-Sectional Study of Male Volleyball Players at Different Competitive Levels.Journal of clinical medicine · 2024Article
- The effects of community-based exercise modalities and volume on musculoskeletal health and functions in elderly people.Frontiers in physiology · 2023Article
- Self-Movement Screening using the Symmio Application is Reliable and Valid for Identifying Musculoskeletal Risk Factors.International journal of sports physical therapy · 2023Article
- Clustered Associations between Musculoskeletal Fitness Tests and Functional Movement Screen in Physically Active Men.BioMed research international · 2023Article
- Prognostic Potential of the Body Composition Indices in Predicting Positive Changes in Resting Blood Pressure after High-Intensity Interval Training in Adolescents.International journal of environmental research and public health · 2022Article
- Risk of Single and Multiple Injuries Due to Static Balance and Movement Quality in Physically Active Women.International journal of environmental research and public health · 2022Article
- Article
- The Impact of Physical Performance on Functional Movement Screen Scores and Asymmetries in Female University Physical Education Students.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Physical activity has many health benefits but also carries a risk of injury. Some universal factors are connected with an increased risk regardless of the type of sport. Identifying these factors may help predict injuries and aid in their prevention. Aim: The aim of this study is to determine the level of injury risk and the accuracy of injury prediction during a prospective 6-month period based on the quality of movement patterns and level of flexibility among average physically active young adults. Material and Methods: A group of 123 young, physically active adults were recruited for this study. The International Physical Activity Questionnaire (IPAQ) was used to determine their level of physical activity. The authors own Injury History Questionnaire (IHQ) was used to retrospectively collect injury data from the 12 months before the study and prospectively collect data during the six month observation period. The Functional Movement Screen (FMS) test was conducted to assess the movement patterns quality and a sit-and-reach test was conducted to measure lower back and hamstrings flexibility. Results: Low-quaility movement patterns (14 FMS) increased the injury risk level sevenfold. A level of flexibility reduced by one cm increased the risk of injury by 6%. Previous injuries also increased the risk of injury reccurence 6.4 times. Predicting injury occurrence based on the quality of movement patterns allows for an accuracy of 73%, whereas flexibility allows for a 41% accuracy. The simultaneous use of these two factors did not improve injury prediction accuracy. Conclusion: The risk of an injury increases with low-quality movement patterns, a low level of flexibility, and previous injuries. Preventative strategies should include shaping high-quality movement patterns, the right level of flexibility, and the full healing of injuries before resuming activities. The quality of movement patterns is an accurate predictor of injury risk, but lower back and hamstrings flexibility is not a reliable predictor of injury.
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