Translational sports medicine最新文献

{"title":"Sex Differences in Participation and Performance Trends in Time-Limited Ultramarathon Events.","authors":"Mabliny Thuany, Thayse Natacha Gomes, Elias Villiger, Pantelis T Nikolaidis, Volker Scheer, Katja Weiss, Thomas Rosemann, Beat Knechtle","doi":"10.1155/tsm2/1129276","DOIUrl":"10.1155/tsm2/1129276","url":null,"abstract":"<p><p><b>Aim:</b> We aimed to analyze sex differences in time-limited ultramarathon participation, while also identifying trends in participation, age, and performance across different formats of events, from 1990 to 2020. <b>Method:</b> This is an exploratory study, using data obtained from the official event web pages. We downloaded information regarding the year of the event, athletes' year of birth, sex, race event, ranking, and mean running speed (km/h). The sex gap in participation was presented through equiplots. Regression models were fitted to analyze trends in participation, age, and performance, considering a 95% confidence interval. <b>Results:</b> A similar pattern of increase in participation and age was shown for athletes of both sexes until 2019. The sex gap remained, displaying different patterns across race events. A general trend of slower mean running speeds was shown. The random-effects analysis showed that sex and age played significant roles in the performance trajectory across the years, in each race event. <b>Conclusions:</b> Apart from the 8-day race among females, there was a decline in the performance across all race durations. Despite the trend of performance decline, future studies need to address the relevance of this decline in both theoretical and practical terms.</p>","PeriodicalId":75247,"journal":{"name":"Translational sports medicine","volume":"2024 ","pages":"1129276"},"PeriodicalIF":1.2,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11685318/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142916407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Positional Differences in Jump Loads and Force and Velocity Metrics Throughout a 16-Week Division I Volleyball Season.","authors":"Gabriel J Sanders, Stacie Skodinski, Damjana V Cabarkapa, Mason Howard, Dimitrije Cabarkapa, Corey A Peacock","doi":"10.1155/tsm2/5933923","DOIUrl":"10.1155/tsm2/5933923","url":null,"abstract":"<p><p>The study quantified total and high-intensity jump counts and assessed neuromuscular performance through countermovement jump (CMJ) force and velocity metrics by position. Twelve Division I female athletes (19.6 ± 1.3 years; 182.7 ± 6.5 cm) were included in the 16-week study using wearable microsensors to monitor daily jump loads. CMJ tests were conducted twice weekly using dual force plates to measure force and velocity metrics. There were significant main effects of position (<i>p</i> ≤ 0.001) for jump and force plate metrics. Middle blockers accumulated significantly more jump counts of 38.1 cm or higher (jumps 38+; 65.4 ± 39.2 counts) and jump counts of 50.8 cm or higher (jumps 50+; 39.5 ± 32.7 counts) compared to outside hitters (jumps 38+; 39.4 ± 25.9 counts and jumps 50+; 15.0 ± 15.6 counts) and opposite hitters (jumps 38+; 47.9 ± 24.1 counts and jumps 50+; 29.7 ± 18.1 counts), while setters had the fewest high-intensity jump counts (jumps 38+; 19.0 ± 16.6 counts and jumps 50+; 0.4 ± 0.8 counts). Middle blockers had the highest CMJ height (36.1 ± 6.4 cm), deepest CMJ depth (-41.7 ± 6.4 cm) and peak (2.75 ± 0.22 m/s) and average (1.49 ± 0.08 m/s) propulsion velocities (2.75 ± 0.22 m/s). Meanwhile, setters had significantly greater braking RFD (7839 ± 2617 N), average (1698 ± 223 N) and peak braking force (2061 ± 248 N), and average (1446 ± 88 N) and peak propulsion force (1994 ± 213 N), compared to all other positions. Opposite and outside hitters' data fell between setters and middle blockers. Regardless of position, neuromuscular performance fluctuates during the season and there are noticeable positional differences in jump loads and force and velocity metrics.</p>","PeriodicalId":75247,"journal":{"name":"Translational sports medicine","volume":"2024 ","pages":"5933923"},"PeriodicalIF":1.2,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669427/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142901050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fat-Free Mass Is Positively Associated With Urine Specific Gravity in Athletes and Active Adults: A Quantitative Review.","authors":"Patrick B Wilson, Ian P Winter","doi":"10.1155/tsm2/8827027","DOIUrl":"10.1155/tsm2/8827027","url":null,"abstract":"<p><p><b>Background:</b> Urine specific gravity (USG) is a commonly used assessment method to estimate the prevalence of hypohydration, typically based on a common threshold of ≥ 1.020. Some research has shown that USG can vary based on body size and composition, but the evidence to date is limited. This review examined whether an association between fat-free mass (FFM), a component of body composition, and USG could be detected among published articles that have reported these variables in athletes and physically active individuals. <b>Methods:</b> By searching Google Scholar, the authors identified a large number of published articles (<i>n</i> = 161) reporting anthropometrics and USG. Only articles reporting data on adult samples of athletes or physically active individuals were included. Given differences in body composition and FFM between men and women, articles that did not report data separately for each sex were excluded. Spearman's rank correlation coefficient (<i>ρ</i>) was used to assess the association between variables. <b>Results:</b> In men, FFM showed a significant, weak-sized positive association with USG (<i>ρ</i> = 0.36, <i>p</i> < 0.001). Among women, FFM showed a significant, moderate-sized positive association with USG (<i>ρ</i> = 0.57, <i>p</i>=0.006). When results were combined independent of sex, the association between FFM and USG remained significant (<i>ρ</i> = 0.38, <i>p</i>  < 0.001). <b>Conclusion:</b> Athletes with larger amounts of FFM are more likely to have elevated USG. Protein and muscle metabolites such as creatinine, urea, and uric acid likely play some role in the observed relationships. If USG continues to be utilized in sport settings, more research is needed to determine if development of FFM-specific USG thresholds may be more appropriate for determining hydration status.</p>","PeriodicalId":75247,"journal":{"name":"Translational sports medicine","volume":"2024 ","pages":"8827027"},"PeriodicalIF":1.2,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11649348/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142840499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"'Every Run Is Hard': Endurance Athletes' Experiences of Return to Sports Participation After COVID-19-A Mixed Methods Study.","authors":"Cheryl Anne Haley, Helena Van Aswegen, Benita Olivier","doi":"10.1155/2024/1506534","DOIUrl":"10.1155/2024/1506534","url":null,"abstract":"<p><p>Protracted return to sport (RTS) following COVID-19 is common due to long-term cardiopulmonary symptoms and persistent fatigue. In athletes, low exercise tolerance may result in emotional distress. The aim of this study is to assess the symptom severity, the management thereof and the impact on quality of life (QOL) as endurance athletes return to their preillness level of sports participation. A cross-sectional survey-based mixed methods study of long-distance athletes was performed. Quantitative data included sport and disease characteristics, fatigue score and management of persistent symptoms. A total of 295 survey responses were included. The mean age was 45.1 (10.2) years and 54.7% were male. Barriers to exercise included tachycardia (72%), fatigue (72%), dyspnoea (58%) and inability to exercise at high intensities (75%). High physical and mental fatigue scores were found, the former significantly predicting return to sport. Qualitative data were collected through open-ended questions exploring challenges faced when returning to sport post-COVID-19 convalescence and the impact on their QOL. Biopsychosocial well-being constituted three themes: Physical, Psychological and Social. Categories with high code frequencies included persistent cardiopulmonary symptoms, physical fatigue, emotional distress and social disengagement. Mixing the methods revealed that the athletes' QOL deteriorated due to protracted RTS after COVID-19. A multidisciplinary approach to management may be required by endurance athletes.</p>","PeriodicalId":75247,"journal":{"name":"Translational sports medicine","volume":"2024 ","pages":"1506534"},"PeriodicalIF":1.2,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11623992/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142803825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Field Surface Type and Season-Ending Lower Extremity Injury in NFL Players.","authors":"William F McCormick, Mitchell J Lomis, Matthew T Yeager, Nicholas J Tsavaris, Christopher D Rogers","doi":"10.1155/2024/6832213","DOIUrl":"10.1155/2024/6832213","url":null,"abstract":"<p><p>There is growing concern over the safety of artificial turf when it comes to the incidence of player injuries. The artificial surfaces can withstand more play, are cheaper to maintain, and are more predictable. However, there is concern that this beneficial durability comes at the expense of the forgiveness of the surface, leading to more injuries. In this study, we aim to compare the incidence of in-game season-ending lower extremity injuries on natural and artificial playing surfaces in the National Football League (NFL) during the 2020, 2021, and 2022 seasons. For this study, we used publicly available data to determine and classify the specific injury, where the injury occurred, field surface type, and duration of recovery. All data were collected, and significance was determined using two-sample <i>T</i>-tests. Only in-game injuries were included in this study. Over the course of 2020, 2021, and 2022, there were 199 season-ending lower-extremity injuries. Of these, 79 occurred on natural turf (39.7%) and 120 on artificial turf (60.3%). Of the 891 games played in this three-year period, 396 were played on natural turf (44.4%) and 495 were played on artificial turf (55.6%). Natural turf saw an injury rate of 0.199 per game, and artificial turf saw 0.242 injuries per game. We determined that there is no significant difference in rates of season-ending lower-extremity injury between artificial and natural turf. Any perceived difference in injury rates could possibly be attributed to the increased amount of play on artificial surfaces and anecdotal evidence related to high profile cases. While there is no significant difference in incidence, surfaces should continue to be monitored and regulated for traits such as hardness, and player preferences should be considered for qualities that are not quantifiable.</p>","PeriodicalId":75247,"journal":{"name":"Translational sports medicine","volume":"2024 ","pages":"6832213"},"PeriodicalIF":1.2,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11567718/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142650009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of the Anatomical Cross-Sectional Area of Psoas Major Muscle Using an Ultrasound Imaging System Combined With an Inertial Measurement Unit: Improved Reliability in the US Using IMU-Based Positioning Techniques.","authors":"Kazuhiro Ito, Etsuko Maeshima, Nobuyuki Arai, Koichi Saito, Hiroya Koshiba, Junko Maruyama, Keiji Asada, Takaaki Nakamata, Kazuki Yamaguchi, Yasuhiko Hatanaka","doi":"10.1155/2024/7774612","DOIUrl":"10.1155/2024/7774612","url":null,"abstract":"<p><p><b>Introduction:</b> Recently, ultrasound (US) imaging has been used to estimate the cross-sectional area of skeletal muscle, but the reliability is uncertain. To improve the reliability of the US, we investigated skeletal muscle thickness measurement using an inertial measurement unit (IMU) to determine the direction of US beam incidence based on posture angle information. In addition, we examined whether the anatomical cross-sectional area (ACSA) of muscle can be estimated from the muscle thickness measured using the US with the IMU. <b>Methods:</b> In Experiment 1, two examiners measured the right psoas major at the fourth lumbar vertebra level in 10 university students using the US with and without an IMU. The intraclass correlation coefficient (ICC) was used to examine intra- and inter-rater variability. In Experiment 2, the two examiners measured the muscle thickness of the right psoas major in 31 male subjects using the US with an IMU. In addition, the ACSA of this muscle was measured using MRI. Pearson's correlation coefficient was used to examine the relationship between muscle thickness and ACSA, and a single regression analysis was performed. <b>Results:</b> Both intrarater reliability ICC (1, 2) and inter-rater reliability ICC (2, 2) were higher when US was used with IMU compared to without IMU (Experiment 1). A significant positive correlation (<i>r</i> = 0.84, <i>p</i> < 0.01) was observed between muscle thickness and ACSA (Experiment 2). The regression equation was significant at <i>R</i> ² = 0.71 (<i>p</i> < 0.01). <b>Conclusion:</b> Using an IMU during US measurement of the psoas major improves intra- and interexaminer reliability and can be used to estimate the ACSA of the muscle.</p>","PeriodicalId":75247,"journal":{"name":"Translational sports medicine","volume":"2024 ","pages":"7774612"},"PeriodicalIF":1.2,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11537743/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142585016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of 1-Week Weight Loss While Maintaining Total Body Water on Jump Performance.","authors":"Hiroyuki Sagayama, Makiko Toguchi, Jun Yasukata, Rie Tomiga-Takae, Yujiro Kose, Masahiro Ikenaga, Takaaki Komiyama, Mamiko Ichikawa, Nemanja Lakicevic, Yasuki Higaki, Hiroaki Tanaka, Hiroyuki Nunome","doi":"10.1155/2024/6458445","DOIUrl":"10.1155/2024/6458445","url":null,"abstract":"<p><p>Jumping performance is influenced by body composition and excess fat mass impairs performance. Maintaining optimal fat mass and fat-free mass (FFM) is crucial for enhancing jump height. However, there is limited evidence on short-term weight loss programs that reduce fat mass without water restriction and their effects on muscle function and jumping performance. This study aimed to clarify the effects of a 1-week weight loss program on jumping height and muscle function of volleyball players. The weight loss group engaged in two 40 min slow-paced jogging sessions in addition to their daily training routine. Energy intake was restricted without limitations on water intake. Total body water and body composition using the deuterium dilution method, muscle strength, and jump height before and after 1 week were evaluated for those in the weight loss and control groups. Body mass was significantly reduced in the weight loss group (-2.7 ± 1.3%, <i>p</i> < 0.05) with a significant reduction in fat mass (-17.7 ± 10.7%, <i>p</i> < 0.05). Meanwhile, there were no significant changes in total body water or FFM. Muscle strength and power tests indicated no significant differences between the groups; no notable differences were observed in handgrip strength or knee extension torque. The height of a single vertical and continuous jump remained consistent pre- and postintervention in the control group. In the weight loss group, although the height of a single vertical jump exhibited a slight decline postintervention, the height of a continuous jump displayed no significant changes. The short-term weight loss program significantly reduced fat mass without compromising muscle function, which is crucial for sports performance. These findings may benefit other athletes who require fat mass reduction while maintaining muscle function and help create new programs during specific training phases.</p>","PeriodicalId":75247,"journal":{"name":"Translational sports medicine","volume":"2024 ","pages":"6458445"},"PeriodicalIF":1.2,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11527525/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142559591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lower Extremity Asymmetry Values Derived From Multiple Strength Testing Modes Are Associated With Perceived Functional Capabilities Among University Athletes.","authors":"Zachary J McClean, Nathan Boon-van Mossel, Mark McKenzie, Per Aagaard, Walter Herzog, Kati Pasanen, Victor Lun, Matthew J Jordan","doi":"10.1155/2024/5589056","DOIUrl":"10.1155/2024/5589056","url":null,"abstract":"<p><p><b>Background:</b> Muscle strength asymmetry and athlete introspective measures are associated with musculoskeletal (MSK) sport injury and reinjury. However, the interrelationship between mechanical and subjective measures of concentric and eccentric limb function needs further exploration. This includes investigating if an athlete's perception of their overall MSK function influences limb asymmetry across different testing modalities. <b>Objectives:</b> To (i) explore the interrelationship between mechanical and subjective measures of lower limb function in university athletes and (ii) compare the consistency in interlimb strength asymmetries across different strength tests in groups of athletes with good, fair, and poor perceived limb function. <b>Methods:</b> University athletes (<i>n</i> = 175; <i>n</i> = 87 females) from six sports completed four tests of muscle strength, power, and plyometric function along with an assessment of perceived limb function using the Sport Fitness Index (SFI). Participants were categorized into high (GOOD_SFI), fair (FAIR_SFI), and poor (POOR_SFI) perceived overall MSK function (perceived function) groups. Strength asymmetry indexes evaluated interlimb differences in concentric and eccentric maximal strength, countermovement jump (CMJ) impulse, unilateral CMJ height, and reactive strength index in unilateral repeat hop testing. Cumulative link mixed-effects models assessed the relationship between strength asymmetries and perceived limb function. <b>Results:</b> The POOR_SFI group showed increased asymmetry in concentric strength testing (<i>p</i> = 0.022), more consistent interlimb asymmetries (<i>p</i> < 0.001), and reduced overall muscle strength compared to the GOOD_SFI group. <b>Conclusion:</b> Higher interlimb asymmetry in maximal concentric strength measures along with reduced muscle strength was found in the POOR_SFI group compared to the GOOD_SFI group. The POOR_SFI group also showed greater consistency in muscle strength asymmetry derived across different tasks.</p>","PeriodicalId":75247,"journal":{"name":"Translational sports medicine","volume":"2024 ","pages":"5589056"},"PeriodicalIF":1.2,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11524692/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142549366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Athlete Monitoring Systems in Elite Men's Basketball: Challenges, Recommendations, and Future Perspectives.","authors":"Jakob Burger, Alexander-Stephan Henze, Thomas Voit, Richard Latzel, Othmar Moser","doi":"10.1155/2024/6326566","DOIUrl":"10.1155/2024/6326566","url":null,"abstract":"<p><p>Athlete monitoring systems (AMSs) provide a centralized platform for integrating, processing, analyzing, and graphing various monitoring data to help coaches manage the rigorous demands of elite men's basketball players, who frequently participate in high-stress games with minimal recovery time. This review synthesizes current challenges in deploying AMSs, underscores their role in injury prevention and performance optimization, and discusses technological advances that could enhance their utility. Key challenges include selecting appropriate monitoring methods based on human and financial resources, accuracy of data collection, real-time data processing, and personalization of training regimens. Due to the weaknesses and limitations of each monitoring method, it is recommended that both objective (e.g., external load data, heart rate measures, and biomarkers) and subjective (athlete-reported outcome measures) monitoring data be integrated into an AMS to provide a holistic insight of the athlete's health and readiness. In addition, decision support systems integrated into an AMS can help coaches quickly gain an overview of their players' current condition and make informed decisions about daily load and recovery management. In this context, future perspectives suggest the potential for AMSs to incorporate predictive analytics and artificial intelligence to further enhance decision-making processes in elite men's basketball. Our findings underscore the need for continued innovation and rigorous validation of AMS technologies to ensure they meet the evolving demands of professional sports environments.</p>","PeriodicalId":75247,"journal":{"name":"Translational sports medicine","volume":"2024 ","pages":"6326566"},"PeriodicalIF":1.2,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11511587/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142514397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Injury Prevention Programme in Physical Education Teacher Education Students: Process Evaluation Using the RE-AIM Sports Setting Matrix.","authors":"Lennert Goossens, Greet Cardon, Erik Witvrouw, Evert A L M Verhagen, Dirk De Clercq","doi":"10.1155/2024/5717748","DOIUrl":"https://doi.org/10.1155/2024/5717748","url":null,"abstract":"<p><p>This study aimed to evaluate the feasibility and effectiveness of an injury prevention programme for Physical Education Teacher Education (PETE) students, consisting of an injury awareness module and implementing prevention strategies during intracurricular lessons. Participants from four PETE programmes formed the intervention group (<i>n</i> = 4 programme directors, <i>n</i> = 38 sports lecturers, <i>n</i> = 859 students), while those from four other programmes were the controls (<i>n</i> = 4 programme directors, <i>n</i> = 34 sports lecturers, <i>n</i> = 721 students). Programme directors and sports lecturers received a three-hour workshop on sports injury prevention. The feasibility and effectiveness of the intervention were evaluated following the RE-AIM Sports Setting Matrix. Reach, adoption, and implementation of the prevention strategies were high, but implementation of the awareness module was moderate, ranging from 25% to 75%. Maintenance in terms of intentions ranged from 25% to 75% for aspects of the awareness module and averaged 68% for the prevention strategies. Significantly more static stretching (<i>p</i>=0.029), dynamic stabilisation (<i>p</i> < 0.001), and core stability (<i>p</i>=0.001) were implemented in the intervention group compared to the control group. Injury prevention behaviour and knowledge in students did not increase after the intervention. In conclusion, moderate feasibility of an injury prevention intervention for PETE students was found. Sports lecturers implemented prevention strategies in their lessons frequently, but future interventions should develop more dissemination initiatives.</p>","PeriodicalId":75247,"journal":{"name":"Translational sports medicine","volume":"2024 ","pages":"5717748"},"PeriodicalIF":1.2,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11412748/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142303027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}