Carel Viljoen , Eileen du Toit , Tyla van Niekerk , Sylvester Mashaba , Zinhle Ndaba , Michelle Verster , Andre Bellingan , Dimakatso Ramagole , Audrey Jansen van Rensburg , Tanita Botha , Dina C. Janse van Rensburg
{"title":"Training for shorter ultra-trail races results in a higher injury rate, a more diverse injury profile, and more severe injuries: 2022 Mac ultra races","authors":"Carel Viljoen , Eileen du Toit , Tyla van Niekerk , Sylvester Mashaba , Zinhle Ndaba , Michelle Verster , Andre Bellingan , Dimakatso Ramagole , Audrey Jansen van Rensburg , Tanita Botha , Dina C. Janse van Rensburg","doi":"10.1016/j.ptsp.2023.10.004","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><p>Determine and compare the epidemiology, clinical characteristics, and injury severity among race entrants training towards different ultra-trail race distances.</p></div><div><h3>Design</h3><p>Retrospective cross-sectional study.</p></div><div><h3>Setting</h3><p>The six months training period before the 2022 Mac Ultra races (46 km, 80 km, 161 km and 322 km).</p></div><div><h3>Participants</h3><p>Of the 245 race entrants, 162 (66% of Mac ultra-trail runners) consented to analyse their data.</p></div><div><h3>Outcome measures</h3><p>Injury rate (injuries per 1000 h of running), point prevalence (% of currently injured participants), injury severity (time loss), and the frequency (n, %) of injuries reported during pre-race medical screening in the six months before the race. Using inferential statistics, we compared the injury rates between the different race distance categories (46 km, 80 km, 161 km, 322 km). All tests were performed at a 5% level of significance.</p></div><div><h3>Results</h3><p>We reported a statistically significantly higher injury rate among 46 km study participants (3.09 injuries per 1000 h) compared to the injury rates reported among 80 km (0.68 injuries per 1000 h; p = 0.001) and 161 km (1.09 injuries per 1000 h; p = 0.028) participants. The lower limb (89%) was the most injured anatomical region, with only 46 km study participants reporting upper limb, trunk, and head injuries<span> (11%). Muscle/tendon was the most reported injured tissue type (56%), with muscle injuries (31%) the most reported pathology type. Shorter distance ultra-trail runners reported the highest injury severity.</span></p></div><div><h3>Conclusion</h3><p>Ultra-trail runners training towards shorter ultra-trail distance races presented with a higher injury rate, more diverse injury profile, and a higher injury severity.</p></div>","PeriodicalId":49698,"journal":{"name":"Physical Therapy in Sport","volume":"65 ","pages":"Pages 7-13"},"PeriodicalIF":2.2000,"publicationDate":"2023-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Therapy in Sport","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1466853X2300130X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REHABILITATION","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives
Determine and compare the epidemiology, clinical characteristics, and injury severity among race entrants training towards different ultra-trail race distances.
Design
Retrospective cross-sectional study.
Setting
The six months training period before the 2022 Mac Ultra races (46 km, 80 km, 161 km and 322 km).
Participants
Of the 245 race entrants, 162 (66% of Mac ultra-trail runners) consented to analyse their data.
Outcome measures
Injury rate (injuries per 1000 h of running), point prevalence (% of currently injured participants), injury severity (time loss), and the frequency (n, %) of injuries reported during pre-race medical screening in the six months before the race. Using inferential statistics, we compared the injury rates between the different race distance categories (46 km, 80 km, 161 km, 322 km). All tests were performed at a 5% level of significance.
Results
We reported a statistically significantly higher injury rate among 46 km study participants (3.09 injuries per 1000 h) compared to the injury rates reported among 80 km (0.68 injuries per 1000 h; p = 0.001) and 161 km (1.09 injuries per 1000 h; p = 0.028) participants. The lower limb (89%) was the most injured anatomical region, with only 46 km study participants reporting upper limb, trunk, and head injuries (11%). Muscle/tendon was the most reported injured tissue type (56%), with muscle injuries (31%) the most reported pathology type. Shorter distance ultra-trail runners reported the highest injury severity.
Conclusion
Ultra-trail runners training towards shorter ultra-trail distance races presented with a higher injury rate, more diverse injury profile, and a higher injury severity.
期刊介绍:
Physical Therapy in Sport is an international peer-reviewed journal that provides a forum for the publication of research and clinical practice material relevant to the healthcare professions involved in sports and exercise medicine, and rehabilitation. The journal publishes material that is indispensable for day-to-day practice and continuing professional development. Physical Therapy in Sport covers topics dealing with the diagnosis, treatment, and prevention of injuries, as well as more general areas of sports and exercise medicine and related sports science.
The journal publishes original research, case studies, reviews, masterclasses, papers on clinical approaches, and book reviews, as well as occasional reports from conferences. Papers are double-blind peer-reviewed by our international advisory board and other international experts, and submissions from a broad range of disciplines are actively encouraged.