| Autor: |
Karinharju KS; School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, QLD, Australia.; Satakunta University of Applied Sciences, Pori, Finland., Boughey AM; School of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, QLD, Australia., Tweedy SM; School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, QLD, Australia.; I.M. Sechenov First Moscow State Medical University, Moscow, Russia., Clanchy KM; School of Allied Health Sciences, Griffith University, Southport, QLD, Australia., Trost SG; Institute of Health and Biomedical Innovation at Queensland Centre for Children's Health, Research, Queensland University of Technology, South Brisbane, QLD, Australia., Gomersall SR; School of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, QLD, Australia. |
| Abstrakt: |
Objective: A recent Apple Watch ® activity-monitoring innovation permits manual wheelchair users to monitor daily push counts. This study evaluated the validity of the Apple Watch ® push count estimate. Design: Criterion validity. Setting : Southern Finland and Southeast Queensland, Australia. Participants : Twenty-six manual wheelchair users from Finland and Australia were filmed completing a standardized battery of activities while wearing the Apple Watch ® (dominant wrist). Outcome Measures: Wheelchair pushes as determined by the Apple Watch ® were compared to directly observed pushes. Results: Agreement between Apple Watch ® push counts and directly observed pushes was evaluated using Intraclass correlation coefficients (ICC), Pearson correlations and Bland-Altman analyses. Apple Watch ® pushes and directly observed push counts were strongly correlated (ICC = 0.77, P < 0.01) ( r = 0.84, P < 0.01). Bland Altman plots indicated that the Apple Watch ® underestimated push counts (M = -103; 95% ULoA = 217; LLoA = -423 pushes). Mean absolute percentage error was 13.5% which is comparable to studies evaluating agreement between pedometer-based step counts and directly observed steps. Conclusion: Apple Watch ® push-count estimates are acceptable for personal, self-monitoring purposes and for research entailing group-level analyses, but less acceptable where accurate push-count measures for an individual is required. |
