School of Allied Health, University of Limerick, Limerick, Ireland.
School of Health and Human Performance, Dublin City University, Dublin, Ireland.
PLoS One. 2023 Aug 17;18(8):e0288814. doi: 10.1371/journal.pone.0288814. eCollection 2023.
Given the high incidence and heavy burden of running related injuries, large-scale, prospective multifactorial investigations examining potential risk factors are warranted. This study aimed to identify factors associated with running related injuries and to evaluate their potential in injury screening.
Prospective cohort study.
Two hundred and seventy-four recreational runners were recruited. Clinical measures (strength, range of motion, foot position), injury and training history (via questionnaire), impact loading (via accelerometery) and running technique measures were collected at baseline. Runners were tracked for injury for one year via fortnightly check-ins. A binary logistic regression, (injury versus no injury), was performed for each variable univariably, and then adjusting for age, sex and mileage. A multivariable regression was also performed to evaluate the model's discriminative ability.
Of the 225 runners included in the final analysis 52% experienced a running related injury. Injury history in the past year, less navicular drop, and measures of running technique (knee, hip, and pelvis kinematics) were associated with increased odds of injury (p < .05). The multivariable logistic regression model was statistically significant, χ2(11) = 56.45, p < .001, correctly classifying 74% of cases with a sensitivity and specificity of 72% and 76%, respectively. The area under the receiver operating characteristic curve was 0.79 (CI95% = 0.73-0.85), demonstrating acceptable discriminative ability.
This study found a number of clinical and running technique factors to be associated with prospective running related injuries among recreational runners. With the exception of injury history, the factors identified as being significantly associated with injury may be modifiable and therefore, could form the basis of interventions. Range of motion, spatiotemporal parameters and strength measures were not associated with injury and thus their utilisation in injury prevention practices should be reconsidered.
鉴于跑步相关损伤的高发病率和沉重负担，需要进行大规模、前瞻性的多因素研究，以检查潜在的风险因素。本研究旨在确定与跑步相关损伤相关的因素，并评估其在损伤筛查中的潜力。
前瞻性队列研究。
招募了 274 名休闲跑者。在基线时收集了临床测量（力量、运动范围、足位）、损伤和训练史（通过问卷）、冲击负荷（通过加速度计）和跑步技术测量值。通过每两周一次的检查，对跑者进行为期一年的损伤跟踪。对每个变量进行单变量的二元逻辑回归（损伤与无损伤），然后根据年龄、性别和里程数进行调整。还进行了多变量回归，以评估模型的判别能力。
在最终分析的 225 名跑者中，有 52%的人经历了跑步相关的损伤。过去一年的损伤史、较小的足弓下降和跑步技术测量值（膝关节、髋关节和骨盆运动学）与损伤的几率增加相关（p<0.05）。多变量逻辑回归模型具有统计学意义，χ2（11）=56.45，p<0.001，正确分类了 74%的病例，敏感性和特异性分别为 72%和 76%。受试者工作特征曲线下的面积为 0.79（CI95%=0.73-0.85），表明具有可接受的判别能力。
本研究发现了一些与休闲跑者前瞻性跑步相关损伤相关的临床和跑步技术因素。除了损伤史外，与损伤显著相关的因素可能是可改变的，因此可以作为干预措施的基础。运动范围、时空参数和力量测量值与损伤无关，因此应重新考虑其在损伤预防实践中的应用。
