Abstract
Introduction Running offers a 40% reduction in premature mortality risk, but high rates of musculoskeletal injury. We aimed to 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.
Materials and Methods We sought a minimum of 120 healthy recreational runners currently running with an IMU/GPS wristwatch. 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, before linking their IMU/GPS wristwatch to the commercially-available DashLX platform. We extracted baseline anthropometric, biomechanics, metabolic, and training load data from the prior 12-weeks for analysis. Participants completed a weekly injury surveillance questionnaire to confirm their injury status over the next 12-weeks. Feasibility outcomes were analysed descriptively and between group differences with 95% confidence intervals were calculated for PROM/IMU/GPS data.
Results 149 recreational runners participated. 86 participants completed the study (55 men, 31 women) and 21 became injured (0.46 injuries/1,000km). All feasibility outcomes were satisfied (recruitment=47 days; acceptance=133/149 [89%]; adherence=93/133 [70%]; data collection=86/93 [92%]). Acute load by 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 and could be scaled up for an adequately powered prospective cohort.
Materials and Methods We sought a minimum of 120 healthy recreational runners currently running with an IMU/GPS wristwatch. 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, before linking their IMU/GPS wristwatch to the commercially-available DashLX platform. We extracted baseline anthropometric, biomechanics, metabolic, and training load data from the prior 12-weeks for analysis. Participants completed a weekly injury surveillance questionnaire to confirm their injury status over the next 12-weeks. Feasibility outcomes were analysed descriptively and between group differences with 95% confidence intervals were calculated for PROM/IMU/GPS data.
Results 149 recreational runners participated. 86 participants completed the study (55 men, 31 women) and 21 became injured (0.46 injuries/1,000km). All feasibility outcomes were satisfied (recruitment=47 days; acceptance=133/149 [89%]; adherence=93/133 [70%]; data collection=86/93 [92%]). Acute load by 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 and could be scaled up for an adequately powered prospective cohort.
| Original language | English |
|---|---|
| Pages (from-to) | A7.2-A7 |
| Journal | Digital Health and Technology |
| Volume | 10 |
| Issue number | Suppl. 1 |
| DOIs | |
| Publication status | Published - 18 Jan 2024 |
| Event | Sportskongres 2024 - Copenhagen, Denmark Duration: 1 Feb 2024 → 3 Feb 2024 |
