Hollander Karsten, Johnson Caleb D, Outerleys Jereme, Davis Irene S
Department of Physical Medicine and Rehabilitation, Spaulding National Running Center, Harvard Medical School, Cambridge, MA.
Med Sci Sports Exerc. 2021 Jan;53(1):102-107. doi: 10.1249/MSS.0000000000002455.
Despite the health benefits of running, the prevalence of running-related injuries (RRI) remains high. The underlying risk factors between these injuries are still not well understood. Therefore, the aim of this study was to compare biomechanical, anthropometric, and demographic injury risk factors between different locations in injured recreational runners.
In this retrospective case-control analysis, 550 injured runners (49.6% female) with a medically diagnosed RRI were included. All runners had undergone an instrumented treadmill analysis to determine habitual footstrike pattern, vertical instantaneous load rate, peak vertical ground reaction force (vGRF) and cadence. Injuries were classified by location according to a recent consensus statement. A logistic regression model was used to determine the association between the biomechanical parameters and RRI locations. Because injuries can be associated with age, sex, and body mass index, these variables were also entered into the logistic regression.
Strike pattern and peak vGRF were the only biomechanical variable distinguishing an injury from the group of injuries. A midfoot strike differentiated Achilles tendon injuries (odds ratio [OR], 2.27; 90% confidence interval [CI], 1.17-4.41) and a forefoot strike distinguished posterior lower leg injuries (OR, 2.59; 90% CI, 1.50-4.47) from the rest of the injured group. Peak vGRF was weakly associated with hip injuries (OR, 1.14; 90% CI, 1.05-1.24). Female sex was associated with injuries to the lower leg (OR, 2.65; 90% CI, 1.45-4.87) and hip/groin (OR, 2.22; 90% CI, 1.43-3.45). Male sex was associated with Achilles tendon injuries (OR, 1.923; 90% CI, 1.094-3.378).
Sex, foot strike pattern, and vGRF were the only factors that distinguished specific injury locations from the remaining injury locations.
尽管跑步对健康有益,但与跑步相关的损伤(RRI)的发生率仍然很高。这些损伤背后的风险因素仍未得到充分理解。因此,本研究的目的是比较受伤的休闲跑步者不同部位之间的生物力学、人体测量学和人口统计学损伤风险因素。
在这项回顾性病例对照分析中,纳入了550名经医学诊断为RRI的受伤跑步者(49.6%为女性)。所有跑步者都进行了仪器化跑步机分析,以确定习惯性着地方式、垂直瞬时负荷率、垂直地面反作用力峰值(vGRF)和步频。根据最近的共识声明,损伤按部位分类。使用逻辑回归模型来确定生物力学参数与RRI部位之间的关联。由于损伤可能与年龄、性别和体重指数有关,这些变量也被纳入逻辑回归分析。
着地方式和vGRF峰值是区分损伤组中特定损伤的唯一生物力学变量。中足着地可将跟腱损伤(优势比[OR],2.27;90%置信区间[CI],1.17 - 4.41)区分出来,前足着地可将小腿后部损伤(OR,2.59;90%CI,1.50 - 4.47)与其他损伤组区分开来。vGRF峰值与髋部损伤弱相关(OR,1.14;90%CI,1.05 - 1.24)。女性与小腿损伤(OR,2.65;90%CI,1.45 - 4.87)和髋部/腹股沟损伤(OR,2.22;90%CI,1.43 - 3.45)相关。男性与跟腱损伤相关(OR,1.923;90%CI,1.094 - 3.378)。
性别、着地方式和vGRF是区分特定损伤部位与其他损伤部位的唯一因素。