Test—retest reliability of the StepWatch Activity Monitor outputs in individuals with chronic stroke

Mudge, Suzie; Stott, N. Susan

doi:10.1177/0269215508092822

Cited by 77Physical Activity and HealthStroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems

Test—retest reliability of the StepWatch Activity Monitor outputs in individuals with chronic stroke

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Mudge, Suzie, Stott, N. Susan·2008·Clinical Rehabilitation

DOI 10.1177/0269215508092822

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Abstract

Objective: To examine the test—retest reliability of the StepWatch Activity Monitor outputs over two periods, a week apart, in participants with stroke. Design: Test—retest reliability study over monitoring periods of one, two and three days. Setting: Participant's usual environment. Participants: Forty participants more than six months post stroke. Main measures: StepWatch outputs: total step count, number of steps at high medium and low stepping rates, sustained activity indices, peak activity index. Results: The intraclass correlation coefficients were high for all StepWatch outputs and all monitoring periods but were highest for the three-day monitoring period (0.930—0.989) and lowest for the one-day monitoring period (0.830—0.950). The coefficient of variation ranged from 6.7% to 48.7% over the monitoring periods, with higher variation shown for shorter monitoring periods. The most reliable four outputs had 95% limits of agreement between three-day periods that were less than 40%. These were total step count (±37.8%), highest step rate in 1 minute (±23.0%), highest step rate in 5 minutes (±38.6%) and peak activity index (±29.8%). The highest step rate in 1 minute was the only StepWatch output that had 95% limits of agreement less than 40% for the two-day (±31.2%) and one-day (±36.7%) monitoring periods. Conclusions: Total step count, highest step rate in 1 minute, highest step rate in 5 minutes and peak activity index have good test—retest reliability over a three-day monitoring period, with lower reliability shown by the other StepWatch outputs. In general, monitoring over one or two days is less reliable.

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Measures based on gait over 1- or 3-day periods showed good test-retest reliability (ICC = 0.83-0.99).
“Measures based on gait (e.g., step counts and step rate) over 1- or 3-day periods showed good test–retest reliability (ICC = 0.83–0.99) [52].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [52]
In stroke, the step counts and measures of upper extremity and physical activity were shown to be reliable.
“In stroke, the step counts and measures of upper extremity and physical activity were shown to be reliable [48, 49, 52, 56–59]”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [52]

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Test-Retest Reliability of the StepWatch Activity Monitor Outputs in Healthy Adults
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Concurrent validity and reliability of an activity monitoring for rehabilitation (AMoR) platform for step counting and sitting/lying time in post-stroke individuals
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Agreement of activity monitors for assessment of patients with sub-acute stroke in an inpatient rehabilitation facility
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Authors: Mudge, S., & Stott, N. S.
Affiliations: University of Auckland (NZ)
Corresponding author: Mudge, Suzie
ORCID: Mudge, Suzie
Stott, N. Susan
Venue: Clinical Rehabilitation
Publisher: SAGE Publications
Published: 2008-10
Volume: 22
Issue: 10-11
Pages: 871-877
ISSN: 0269-2155 (ISSN-L)
1477-0873
DOI: 10.1177/0269215508092822
OpenAlex: W2142316258
Cited by: 77
References: 23
Citations by year: 2026: 1 · 2025: 1 · 2024: 3 · 2023: 2 · 2022: 3 · 2021: 6 · 2020: 5 · 2019: 8 · 2018: 6 · 2017: 7 · 2016: 7 · 2015: 3 · 2014: 4 · 2013: 4 · 2012: 5
FWCI: 2.72
Type: journal article
Language: en
Open access: green
hdl.handle.net
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Clinical Rehabilitation (publishedVersion)
PubMed (publishedVersion)
Tuwhera (Auckland University of Technology) (submittedVersion)
Funders: Auckland District Health Board
Topics: Health Sciences › Medicine › Physiology › Physical Activity and Health
Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords: test-retest reliability, chronic stroke, wearable activity trackers, step count, cadence, limits of agreement
MeSH terms: Stroke Rehabilitation, Activities of Daily Living, Aged, Chronic Disease, Disability Evaluation, Female, Humans, Male, Middle Aged, Motor Activity, Sensitivity and Specificity, Time Factors, Reproducibility of Results, Walking, Monitoring, Ambulatory, Recovery of Function

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Test—retest reliability of the StepWatch Activity Monitor outputs in individuals with chronic stroke

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