利用可穿戴技术数据解释休闲跑步损伤:前瞻性纵向可行性研究

IF 2.2 3区 医学 Q1 REHABILITATION
Bradley S. Neal , Christopher Bramah , Molly F. McCarthy-Ryan , Isabel S. Moore , Christopher Napier , Max R. Paquette , Allison H. Gruber
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引用次数: 0

摘要

主要结果测量指标我们预先设定了招募(最长六个月)、接受(最低 80%)、坚持(最低 70%)和数据收集(最低 80%)的可行性阈值。参与者完成了三项患者报告结果测量(PROMS),详细描述了他们的心理健康、睡眠质量和跑步的内在动力。我们从他们的 IMU/GPS 手表中提取了人体测量、生物力学、新陈代谢和训练负荷的基线数据进行分析。在接下来的 12 周内,参与者每周填写一份受伤状况监测问卷。对可行性结果进行了描述性分析,并计算了PROM/IMU/GPS数据中受伤组与未受伤组的差异以及95%的置信区间。可行性结果令人满意(招募 = 47 天;接受 = 133/149 [89%];坚持 = 93/133 [70%];数据收集 = 86/93 [92%])。结论:使用市售训练平台收集和分析腕式手表 IMU/GPS 数据在休闲跑步者中是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using wearable technology data to explain recreational running injury: A prospective longitudinal feasibility study

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.

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来源期刊
Physical Therapy in Sport
Physical Therapy in Sport 医学-康复医学
CiteScore
4.50
自引率
8.30%
发文量
125
审稿时长
39 days
期刊介绍: Physical Therapy in Sport is an international peer-reviewed journal that provides a forum for the publication of research and clinical practice material relevant to the healthcare professions involved in sports and exercise medicine, and rehabilitation. The journal publishes material that is indispensable for day-to-day practice and continuing professional development. Physical Therapy in Sport covers topics dealing with the diagnosis, treatment, and prevention of injuries, as well as more general areas of sports and exercise medicine and related sports science. The journal publishes original research, case studies, reviews, masterclasses, papers on clinical approaches, and book reviews, as well as occasional reports from conferences. Papers are double-blind peer-reviewed by our international advisory board and other international experts, and submissions from a broad range of disciplines are actively encouraged.
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