利用可穿戴技术数据阐释休闲跑者的损伤：一项前瞻性纵向可行性研究。

Using wearable technology data to explain recreational running injury: A prospective longitudinal feasibility study.

机构信息

School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Wivenhoe Park, Colchester, Essex, CO4 3SQ, United Kingdom.

Human Movement and Rehabilitation, School of Health and Society, University of Salford, Salford, United Kingdom; The Manchester Institute of Health and Performance, Manchester, United Kingdom.

出版信息

Phys Ther Sport. 2024 Jan;65:130-136. doi: 10.1016/j.ptsp.2023.12.010. Epub 2023 Dec 30.

DOI:10.1016/j.ptsp.2023.12.010

PMID:38181563

Abstract

OBJECTIVES

Investigate 1) if collecting and analysing wristwatch inertial measurement unit (IMU) and global positioning system (GPS) data using a commercially-available training platform was feasible in recreational runners and 2) which variables were associated with subsequent injury.

DESIGN

Prospective longitudinal cohort.

PARTICIPANTS

Healthy recreational runners.

MAIN OUTCOME MEASURES

We set a priori feasibility thresholds for recruitment (maximum six-months), acceptance (minimum 80%), adherence (minimum 70%), and data collection (minimum 80%). Participants completed three patient-reported outcome measures (PROMS) detailing their psychological health, sleep quality, and intrinsic motivation to run. We extracted baseline anthropometric, biomechanical, metabolic, and training load data from their IMU/GPS wristwatch for analysis. Participants completed a weekly injury status surveillance questionnaire over the next 12-weeks. Feasibility outcomes were analysed descriptively and injured versus non-injured group differences with 95% confidence intervals were calculated for PROM/IMU/GPS data.

RESULTS

149 participants consented; 86 participants completed (55 men, 31 women); 21 developed an injury (0.46 injuries/1000km). Feasibility outcomes were satisfied (recruitment = 47 days; acceptance = 133/149 [89%]; adherence = 93/133 [70%]; data collection = 86/93 [92%]). Acute load by calculated effort was associated with subsequent injury (mean difference -562.14, 95% CI -1019.42, -21.53).

CONCLUSION

Collecting and analysing wristwatch IMU/GPS data using a commercially-available training platform was feasible in recreational runners.

摘要

目的

调查 1）使用商业可用的训练平台收集和分析腕部惯性测量单元（IMU）和全球定位系统（GPS）数据在休闲跑者中是否可行，2）哪些变量与随后的损伤相关。

设计

前瞻性纵向队列研究。

参与者

健康的休闲跑者。

主要观察指标

我们设定了预先确定的可行性阈值，包括招募（最长 6 个月）、接受（最低 80%）、坚持（最低 70%）和数据收集（最低 80%）。参与者完成了三个患者报告的结局测量（PROM），详细描述了他们的心理健康、睡眠质量和跑步内在动机。我们从他们的 IMU/GPS 腕带中提取基线人体测量学、生物力学、代谢和训练负荷数据进行分析。参与者在接下来的 12 周内每周完成一次损伤状态监测问卷。使用 95%置信区间计算可行性结果的描述性分析和 PROM/IMU/GPS 数据中受伤与未受伤组之间的差异。

结果

149 名参与者同意参加；86 名参与者完成（55 名男性，31 名女性）；21 名参与者发生损伤（0.46 例/1000 公里）。可行性结果令人满意（招募时间为 47 天；接受率为 133/149 [89%]；坚持率为 93/133 [70%]；数据收集率为 86/93 [92%]）。通过计算努力得出的急性负荷与随后的损伤相关（平均差异-562.14，95%CI-1019.42，-21.53）。