Cloosterman Kyra L A, Fokkema Tryntsje, de Vos Robert-Jan, van Oeveren Ben, Bierma-Zeinstra Sita M A, van Middelkoop Marienke
Department of General Practice, Erasmus MC University Medical Centre, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
Department of General Practice and Elderly Care Medicine, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.
BMC Sports Sci Med Rehabil. 2022 Apr 28;14(1):78. doi: 10.1186/s13102-022-00472-8.
The purpose of the present study was to explore the feasibility of collecting GPS data and the usability of GPS data to evaluate associations between the training load and onset of running-related knee injuries (RRKIs).
Participants of the INSPIRE-trial, a randomized-controlled trial on running injury prevention, were asked to participate in this study. At baseline, demographic variables were collected. Follow-up questionnaires assessed information on RRKIs. Participants with a new reported RRKI and uninjured participants were sent a GPS export request. Weekly GPS-based training distances were used to calculate Acute:Chronic Workload Ratios (ACWRs).
A total of 240 participants (62.7%) tracked their running training sessions with the use of a GPS-enabled device or platform and were willing to share their GPS data. From the participants (N = 144) who received a GPS export request, 50.0% successfully shared their data. The majority (69.4%) of the shared GPS data were usable for analyses (N = 50). GPS data were used to present weekly ACWRs of participants with and without an RRKI eight weeks prior to RRKI onset or running event.
It seems feasible to collect GPS data from GPS-enabled devices and platforms used by recreational runners. The results indicate that GPS data is usable to calculate weekly ACWRs to evaluate associations between training load and onset of RRKIs in recreational runners. Therefore, GPS-based ACWR measures can be used for future studies to evaluate associations between training load and onset of RRIs.
本研究的目的是探讨收集GPS数据的可行性以及GPS数据在评估训练负荷与跑步相关膝伤(RRKIs)发病之间关联的可用性。
邀请了INSPIRE试验(一项关于跑步损伤预防的随机对照试验)的参与者参加本研究。在基线时,收集人口统计学变量。随访问卷评估了有关RRKIs的信息。向新报告患有RRKI的参与者和未受伤的参与者发送了GPS数据导出请求。基于每周GPS的训练距离来计算急性:慢性工作量比率(ACWRs)。
共有240名参与者(62.7%)使用支持GPS的设备或平台跟踪他们的跑步训练课程,并愿意分享他们的GPS数据。在收到GPS数据导出请求的参与者(N = 144)中,50.0%成功分享了他们的数据。大部分(69.4%)共享的GPS数据可用于分析(N = 50)。GPS数据用于呈现RRKI发病或跑步事件前八周有和没有RRKI的参与者的每周ACWRs。
从休闲跑步者使用的支持GPS的设备和平台收集GPS数据似乎是可行的。结果表明,GPS数据可用于计算每周的ACWRs,以评估休闲跑步者训练负荷与RRKIs发病之间的关联。因此,基于GPS的ACWR测量可用于未来研究,以评估训练负荷与RRIs发病之间的关联。