Department of Physiotherapy, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa; Amsterdam Collaboration on Health & Safety in Sports, Department of Public and Occupational Health, Amsterdam Movement Science, Amsterdam UMC, Amsterdam, the Netherlands.
Department of Physiotherapy, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Phys Ther Sport. 2024 Jan;65:7-13. doi: 10.1016/j.ptsp.2023.10.004. Epub 2023 Nov 4.
Determine and compare the epidemiology, clinical characteristics, and injury severity among race entrants training towards different ultra-trail race distances.
Retrospective cross-sectional study.
The six months training period before the 2022 Mac Ultra races (46 km, 80 km, 161 km and 322 km).
Of the 245 race entrants, 162 (66% of Mac ultra-trail runners) consented to analyse their data.
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.
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.
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.
确定并比较不同超长跑距离训练的参赛种族的流行病学、临床特征和损伤严重程度。
回顾性横断面研究。
2022 年 Mac Ultra 比赛前六个月的训练期（46 公里、80 公里、161 公里和 322 公里）。
245 名参赛选手中，有 162 名（Mac 超长跑选手的 66%）同意分析他们的数据。
损伤率（每 1000 小时跑步的损伤数）、现患率（目前受伤参与者的百分比）、损伤严重程度（失时）以及赛前医疗筛查期间报告的损伤频率（n，%）。使用推理统计，我们比较了不同比赛距离类别的损伤率（46 公里、80 公里、161 公里、322 公里）。所有检验均在 5%的显著性水平上进行。
与 80 公里（每 1000 小时 0.68 次损伤；p=0.001）和 161 公里（每 1000 小时 1.09 次损伤；p=0.028）参与者相比，46 公里研究参与者的损伤率显著更高（每 1000 小时 3.09 次损伤）。下肢（89%）是受伤最严重的解剖区域，只有 46 公里研究参与者报告上肢、躯干和头部受伤（11%）。肌肉/肌腱是最常见的损伤组织类型（56%），肌肉损伤（31%）是最常见的病理类型。较短距离的超长跑选手报告的损伤严重程度最高。
训练超短距离超长跑的超长跑选手的损伤率更高，损伤类型更多，损伤严重程度更高。
