Walker Kathleen, Phillips Nicola, Sheeran Liba
School of Healthcare Sciences, Cardiff University, CF14 4XN, Cardiff, UK.
Phys Ther Sport. 2025 Jan;71:85-91. doi: 10.1016/j.ptsp.2024.12.004. Epub 2024 Dec 24.
Explore digital technology use among recreational runners in Wales and assess attitudes toward a proposed digital intervention for running-related injury (RRI) prevention and self-management.
Exploratory survey.
Online questionnaire, closed questions distributed to runners over a 7 week period.
Recreational runners living in Wales (N = 232).
Data analysed descriptively. Inferential analysis conducted via IBM SPSS v25. Pearson's Chi square and logistic regression applied to assess effects of age, sex, and weekly mileage on technology use.
97% of participants reported using digital technology to monitor training, primarily through running watches (45.1%) and smartphone apps (37.6%). Pearson's chi square indicated that younger (18-24 years) and less experienced runners (3 months-2 years) were more likely to use multiple apps. Runners felt these technologies did not offer realistic advice for RRI prevention or self-management. Most runners (84.5%) were interested in the proposed intervention. Runners wanted to see injury advice, exercises to improve running and a diagnostic feature within the proposed intervention.
Digital technologies are widely used by recreational runners but are not perceived as useful for injury prevention/self-management. There is therefore an opportunity to develop tailored, evidence-based digital interventions for RRI prevention and self-management.
探索威尔士休闲跑步者对数字技术的使用情况,并评估他们对一项拟议的针对跑步相关损伤(RRI)预防和自我管理的数字干预措施的态度。
探索性调查。
在线问卷,在7周内分发给跑步者的封闭式问题。
居住在威尔士的休闲跑步者(N = 232)。
进行描述性数据分析。通过IBM SPSS v25进行推断性分析。应用Pearson卡方检验和逻辑回归来评估年龄、性别和每周里程数对技术使用的影响。
97%的参与者报告使用数字技术来监测训练,主要通过跑步手表(45.1%)和智能手机应用程序(37.6%)。Pearson卡方检验表明,年龄较小(18 - 24岁)和经验较少的跑步者(3个月至2年)更有可能使用多个应用程序。跑步者认为这些技术没有提供关于RRI预防或自我管理的实际建议。大多数跑步者(84.5%)对拟议的干预措施感兴趣。跑步者希望在拟议的干预措施中看到损伤建议、改善跑步的练习和诊断功能。
数字技术在休闲跑步者中广泛使用,但未被视为对损伤预防/自我管理有用。因此,有机会开发针对RRI预防和自我管理的量身定制的、基于证据的数字干预措施。