scholarly journals 067 The use of artificial intelligence tools to estimate running-related injury risk profiles in recreational runners

2021 ◽  
Author(s):  
Gustavo Leporace ◽  
Gustavo Nakaoka ◽  
Leonardo Metsavaht ◽  
Luiz Hespanhol
Keyword(s):  
Artificial Intelligence ◽  
Injury Risk ◽  
Risk Profiles ◽  
Recreational Runners

Sports Medicine and Artificial Intelligence: A Primer

2021 ◽  
pp. 036354652110086
Author(s):  
Prem N. Ramkumar ◽  
Bryan C. Luu ◽  
Heather S. Haeberle ◽  
Jaret M. Karnuta ◽  
Benedict U. Nwachukwu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Sports Medicine ◽  
Injury Risk ◽  
Industrial Revolution ◽  
Improve Patient Care ◽  
Great Promise ◽  
Patient Reported ◽  
Athlete Injury ◽  
Improve Patient ◽  
Applications Of Ai

Artificial intelligence (AI) represents the fourth industrial revolution and the next frontier in medicine poised to transform the field of orthopaedics and sports medicine, though widespread understanding of the fundamental principles and adoption of applications remain nascent. Recent research efforts into implementation of AI in the field of orthopaedic surgery and sports medicine have demonstrated great promise in predicting athlete injury risk, interpreting advanced imaging, evaluating patient-reported outcomes, reporting value-based metrics, and augmenting the patient experience. Not unlike the recent emphasis thrust upon physicians to understand the business of medicine, the future practice of sports medicine specialists will require a fundamental working knowledge of the strengths, limitations, and applications of AI-based tools. With appreciation, caution, and experience applying AI to sports medicine, the potential to automate tasks and improve data-driven insights may be realized to fundamentally improve patient care. In this Current Concepts review, we discuss the definitions, strengths, limitations, and applications of AI from the current literature as it relates to orthopaedic sports medicine.

scholarly journals Mechanics, energetics and implementation of grounded running technique: a narrative review

2020 ◽  
Vol 6 (1) ◽  
pp. e000963
Author(s):  
Sheeba Davis ◽  
Aaron Fox ◽  
Jason Bonacci ◽  
Fiddy Davis
Keyword(s):  
Postural Stability ◽  
Injury Risk ◽  
Metabolic Cost ◽  
Duty Factor ◽  
Vertical Oscillation ◽  
Leg Stiffness ◽  
Speed Range ◽  
Impact Attenuation ◽  
Acute Increase ◽  
Recreational Runners

Grounded running predominantly differs from traditional aerial running by having alternating single and double stance with no flight phase. Approximately, 16% of runners in an open marathon and 33% of recreational runners in a 5 km running event adopted a grounded running technique. Grounded running typically occurs at a speed range of 2–3 m·s−1, is characterised by a larger duty factor, reduced vertical leg stiffness, lower vertical oscillation of the centre of mass (COM) and greater impact attenuation than aerial running. Grounded running typically induces an acute increase in metabolic cost, likely due to the larger duty factor. The increased duty factor may translate to a more stable locomotion. The reduced vertical oscillation of COM, attenuated impact shock, and potential for improved postural stability may make grounded running a preferred form of physical exercise in people new to running or with low loading capacities (eg, novice overweight/obese, elderly runners, rehabilitating athletes). Grounded running as a less impactful, but metabolically more challenging form, could benefit these runners to optimise their cardio-metabolic health, while at the same time minimise running-related injury risk. This review discusses the mechanical demands and energetics of grounded running along with recommendations and suggestions to implement this technique in practice.

scholarly journals Hand injuries in sports – a retrospective analysis of 364 cases

2020 ◽  
Author(s):  
Viola-Antonia Stoegner ◽  
Alexander Kaltenborn ◽  
Hans Laser ◽  
Peter Maria Vogt
Keyword(s):  
Injury Risk ◽  
Sports Injuries ◽  
Sports Injury ◽  
Hand Injuries ◽  
German Population ◽  
Prevention Measures ◽  
Risk Profiles ◽  
Trauma Registries ◽  
Equestrian Sports ◽  
Surveillance Programs

Abstract Background: Hand injuries are common in sports and associated with high dropout rates and costs. Hence, efforts should strive for further risk prevention measures in order to increase safety in sports. This implies knowledge of sports injury risk profiles. So far, major surveillance programs exist mainly in Anglo-American countries, reflecting the specific concerns of sports in this part of the world. Data on sports injuries within Europe are scarce. As sports behaviour appears to vary demographically, we hypothesised that risk injury profiles differ as well. Methods: To assess, whether the described sports injuries of the hand are applicable to the German population, we performed a five-year retrospective, single-centre analysis of sports-related hand injuries, using the data of the Enterprise Clinical Research Warehouse of the Hannover Medical School.Results: Notable differences in comparison to other data were observed. Ball sports, cycling and equestrian sports caused most of the recorded hand injuries, which were predominantly fractures of the wrist and hand. Hand injuries in equestrian sports were associated with significantly higher operation and hospitalisation rates as well as a significantly longer inpatient treatment. Conclusion: Risk profiles for sports-related hand injuries appear to differ not only age- and sex-dependent, but also geographically. National as well as European hand trauma registries as well as a broad registry participation are necessary in order to accurately assess these risk patterns in Europe and hence reduce hand injuries and the sequelae.

scholarly journals Injury incidence and risk factors: a cohort study of 706 8-km or 16-km recreational runners

2019 ◽  
Vol 5 (1) ◽  
pp. e000489 ◽  
Author(s):  
Joan Dallinga ◽  
Rogier Van Rijn ◽  
Janine Stubbe ◽  
Marije Deutekom
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Cohort Study ◽  
Injury Risk ◽  
Significant Risk ◽  
Personal Characteristics ◽  
Significant Risk Factor ◽  
Baseline Survey ◽  
Injury Incidence ◽  
Recreational Runners

ObjectivesTo report (1) the injury incidence in recreational runners in preparation for a 8-km or 16-km running event and (2) which factors were associated with an increased injury risk.MethodsProspective cohort study in Amsterdam, the Netherlands. Participants (n=5327) received a baseline survey to determine event distance (8 km or 16 km), main sport, running experience, previous injuries, recent overuse injuries and personal characteristics. Three days after the race, they received a follow-up survey to determine duration of training period, running distance per week, training hours, injuries during preparation and use of technology. Univariate and multivariate regression models were applied to examine potential risk factors for injuries.Results1304 (24.5%) participants completed both surveys. After excluding participants with current health problems, no signed informed consent, missing or incorrect data, we included 706 (13.3%) participants. In total, 142 participants (20.1%) reported an injury during preparation for the event. Univariate analyses (OR: 1.7, 95% CI 1.1 to 2.4) and multivariate analyses (OR: 1.7, 95% CI 1.1 to 2.5) showed that injury history was a significant risk factor for running injuries (Nagelkerke R-square=0.06).ConclusionAn injury incidence for recreational runners in preparation for a running event was 20%. A previous injury was the only significant risk factor for running-related injuries.

scholarly journals Interactions between running volume and running pace on injury occurrence in recreational runners: A secondary analysis.

2021 ◽  
Author(s):  
Daniel Ramskov ◽  
Sten Rasmussen ◽  
Henrik Sørensen ◽  
Erik Thorlund Parner ◽  
Martin Lind ◽  
...  
Keyword(s):  
Injury Risk ◽  
Secondary Analysis ◽  
Risk Difference ◽  
Training Data ◽  
Positive Interaction ◽  
Positioning Systems ◽  
Injury Occurrence ◽  
Global Positioning ◽  
Recreational Runners

Abstract Context The combination of an excessive increase in running pace and volume is essential to consider when investigating associations between running and running-related injury. Objectives The purpose of the present study was to complete a secondary analysis on a dataset from a randomized trial, to investigate the interactions between relative or absolute weekly changes in running volume and running pace on running injury occurrence among a cohort of injury-free recreational runners in Denmark. Design Prospective cohort study Setting Running volume and pace were collected during a 24-week follow-up using global positioning systems (GPS) data. Training data was used to calculate relative and absolute weekly changes in running volume and pace. Patients or Other Participants A total of 586 recreational runners were included in the analysis. All participants were injury-free at inclusion. Main Outcome Measure(s) Running-related injury was the outcome. Injury data were collected weekly using a modified version of the OSTRC questionnaire. Risk difference (RD) was the measure of injury risk. Results A total of 133 runners sustained a running-related injury. A relative weekly change of progression >10% in running volume and progression in running pace (RD=8.1%, 95%CI: - 9.3;25.6%) and an absolute weekly change of progression >5km in running volume and progression in running pace (RD=5.2%, 95%CI: -12.0;22.5%), were not associated with a statistically significant positive interaction. Conclusions As coaches, clinicians and athletes may agree that excessive increase in running pace and excessive increase in running volume are important contributors to injury development, we analyzed the interaction between them. Although a statistically significant positive interaction on an additive scale in runners who progressed both running pace and running volume were not identified in the present study, readers of scientific articles should be aware that interaction is an important analytical approach that could be applied to other datasets in future publications.

scholarly journals Current Approaches to the Use of Artificial Intelligence for Injury Risk Assessment and Performance Prediction in Team Sports: a Systematic Review

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
João Gustavo Claudino ◽  
Daniel de Oliveira Capanema ◽  
Thiago Vieira de Souza ◽  
Julio Cerca Serrão ◽  
Adriano C. Machado Pereira ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Risk Assessment ◽  
Performance Prediction ◽  
Injury Risk ◽  
Team Sports ◽  
And Performance

scholarly journals Leg Stiffness, Joint Stiffness, and Running-Related Injury: Evidence From a Prospective Cohort Study

2021 ◽  
Vol 9 (5) ◽  
pp. 232596712110112
Author(s):  
John J. Davis ◽  
Allison H. Gruber
Keyword(s):  
Cohort Study ◽  
Injury Risk ◽  
Joint Stiffness ◽  
Injury Rate ◽  
Knee Stiffness ◽  
Ankle Stiffness ◽  
Leg Stiffness ◽  
Wide Range ◽  
Recreational Runners

Background: The spring-like behavior of the leg and the joints of the lower body during running are thought to influence a wide range of physiologic and mechanical phenomena, including susceptibility to overuse injury. If leg and joint stiffness are associated with running-related injuries, altering joint or leg stiffness may be a useful avenue for injury rehabilitation and injury prevention programs. Purpose: To test the associations between running-related injury and leg stiffness, knee stiffness, and ankle stiffness in a prospective study of recreational runners. Study Design: Cohort study; Level of evidence, 2. Methods: A total of 49 healthy recreational runners took part in a year-long study. Participants completed a 3-dimensional kinematic and kinetic biomechanical assessment at baseline and reported training volume and injury status in a weekly survey during the follow-up period. Relationships between stiffness and injury were assessed at the level of individual legs (n = 98) using spline terms in Cox proportional hazards models. Results: During follow-up, 23 participants (29 legs) sustained injury. The median time to injury was 27 weeks (53.27 hours of training). Relative injury rate as a function of knee stiffness displayed a weak and nonsignificant U-shaped curve ( P = .187-.661); ankle and leg stiffness displayed no discernable associations with relative injury rate (leg stiffness, P = .215-.605; ankle stiffness, P = .419-.712). Conclusion: Leg and joint stiffness may not be important factors in the development of running-related injuries. Moderate changes in leg and joint stiffness are unlikely to substantially alter injury risk.

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