Ruth McCullagh1, Christina Dillon2, Ann Marie O'Connell3, N Frances Horgan4, Suzanne Timmons3. 1. Centre for Gerontology and Rehabilitation, University College Cork, Cork, Ireland. Electronic address: r.mccullagh@ucc.ie. 2. Department of Epidemiology and Public Health, University College Cork, Cork, Ireland. 3. Centre for Gerontology and Rehabilitation, University College Cork, Cork, Ireland. 4. School of Physiotherapy, Royal College of Surgeons in Ireland, Dublin, Ireland.
Abstract
OBJECTIVE: To measure the step-count accuracy of an ankle-worn accelerometer, a thigh-worn accelerometer, and a pedometer in older and frail inpatients. DESIGN: Cross-sectional design study. SETTING: Research room within a hospital. PARTICIPANTS: Convenience sample of inpatients (N=32; age, ≥65 years) who were able to walk 20m independently with or without a walking aid. INTERVENTIONS: Patients completed a 40-minute program of predetermined tasks while wearing the 3 motion sensors simultaneously. Video recording of the procedure provided the criterion measurement of step count. MAIN OUTCOME MEASURES: Mean percentage errors were calculated for all tasks, for slow versus fast walkers, for independent walkers versus walking-aid users, and over shorter versus longer distances. The intraclass correlation was calculated, and accuracy was graphically displayed by Bland-Altman plots. RESULTS: Thirty-two patients (mean age, 78.1±7.8y) completed the study. Fifteen (47%) were women, and 17 (51%) used walking aids. Their median speed was .46m/s (interquartile range [IQR], .36-.66m/s). The ankle-worn accelerometer overestimated steps (median error, 1% [IQR, -3% to 13%]). The other motion sensors underestimated steps (median error, 40% [IQR, -51% to -35%] and 38% [IQR -93% to -27%], respectively). The ankle-worn accelerometer proved to be more accurate over longer distances (median error, 3% [IQR, 0%-9%]) than over shorter distances (median error, 10% [IQR, -23% to 9%]). CONCLUSIONS: The ankle-worn accelerometer gave the most accurate step-count measurement and was most accurate over longer distances. Neither of the other motion sensors had acceptable margins of error.
OBJECTIVE: To measure the step-count accuracy of an ankle-worn accelerometer, a thigh-worn accelerometer, and a pedometer in older and frail inpatients. DESIGN: Cross-sectional design study. SETTING: Research room within a hospital. PARTICIPANTS: Convenience sample of inpatients (N=32; age, ≥65 years) who were able to walk 20m independently with or without a walking aid. INTERVENTIONS:Patients completed a 40-minute program of predetermined tasks while wearing the 3 motion sensors simultaneously. Video recording of the procedure provided the criterion measurement of step count. MAIN OUTCOME MEASURES: Mean percentage errors were calculated for all tasks, for slow versus fast walkers, for independent walkers versus walking-aid users, and over shorter versus longer distances. The intraclass correlation was calculated, and accuracy was graphically displayed by Bland-Altman plots. RESULTS: Thirty-two patients (mean age, 78.1±7.8y) completed the study. Fifteen (47%) were women, and 17 (51%) used walking aids. Their median speed was .46m/s (interquartile range [IQR], .36-.66m/s). The ankle-worn accelerometer overestimated steps (median error, 1% [IQR, -3% to 13%]). The other motion sensors underestimated steps (median error, 40% [IQR, -51% to -35%] and 38% [IQR -93% to -27%], respectively). The ankle-worn accelerometer proved to be more accurate over longer distances (median error, 3% [IQR, 0%-9%]) than over shorter distances (median error, 10% [IQR, -23% to 9%]). CONCLUSIONS: The ankle-worn accelerometer gave the most accurate step-count measurement and was most accurate over longer distances. Neither of the other motion sensors had acceptable margins of error.
Authors: Venkata K Puppala; Benjamin C Hofeld; Amberly Anger; Sudhi Tyagi; Scott J Strath; Judith Fox; Marcie G Berger; Kwang Woo Ahn; Michael E Widlansky Journal: BMC Geriatr Date: 2020-05-06 Impact factor: 3.921