ArticlePhysical therapy2014
Adherence to accelerometry measurement of community ambulation poststroke.
Article in Physical therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Wearable sensors for clinical applications in epilepsy, Parkinson's disease, and stroke: a mixed-methods systematic review.Journal of neurology · 2018Pooled it
- Measuring Habitual Physical Activity in Neuromuscular Disorders: A Systematic Review.Journal of neuromuscular diseases · 2017Pooled it
- Pooled it
- Predictors of Daily Steps at 1-Year Poststroke: A Secondary Analysis of a Randomized Controlled Trial.Stroke · 2021Trial
- Simple and rationale-providing SMS reminders to promote accelerometer use: a within-trial randomised trial comparing persuasive messages.BMC public health · 2018Trial
- Locomotor Training and Strength and Balance Exercises for Walking Recovery After Stroke: Response to Number of Training Sessions.Physical therapy · 2017Trial
- Replication of Sensor-Based Categorization of Upper-Limb Performance in Daily Life in People Post Stroke and Generalizability to Other Populations.Sensors (Basel, Switzerland) · 2025Article
- Sympathetic nervous system responses during complex walking tasks and community ambulation post-stroke.Scientific reports · 2023Article
- Monitoring and Managing Lifestyle Behaviors Using Wearable Activity Trackers: Mixed Methods Study of Views From the Huntington Disease Community.JMIR formative research · 2022Article
- Wearables for Neurologic Conditions: Considerations for Our Patients and Research Limitations.Neurology. Clinical practice · 2021Review
- Measuring Daily Compliance With Physical Activity Tracking in Ambulatory Surgery Patients: Comparative Analysis of Five Compliance Criteria.JMIR mHealth and uHealth · 2021Article
- Physical Activity Monitoring Using a Fitbit Device in Ischemic Stroke Patients: Prospective Cohort Feasibility Study.JMIR mHealth and uHealth · 2021Article
- Wearable Sensors to Monitor, Enable Feedback, and Measure Outcomes of Activity and Practice.Current neurology and neuroscience reports · 2018Review
- Article
- A Rehabilitation-Internet-of-Things in the Home to Augment Motor Skills and Exercise Training.Neurorehabilitation and neural repair · 2017Article
- Changes in Upper-Extremity Functional Capacity and Daily Performance During Outpatient Occupational Therapy for People With Stroke.The American journal of occupational therapy : official publication of the American Occupational Therapy AssociationObservational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundThe step activity monitor (SAM) quantifies steps taken in the home and community by patient populations. Although the SAM has been used to study individuals after stroke, adherence to the use of SAMs has not been addressed. Participants' adherence to wearing the monitor is critical for obtaining accurate assessments.
objectiveThe purpose of this study was to determine the rate of and predictors for inferred adherence to the use of the SAM after stroke.
designA cross-sectional design was used.
methodsCommunity-dwelling individuals (n=408) 2 months after stroke with moderate-to-severe gait impairment (gait speed of ≤0.8 m/s) were studied. Step activity was assessed for 2 days with the SAM. Inferred adherence was established in 3 periods: 6:00 am to 12:00 pm, 12:01 pm to 6:00 pm, and 6:01 pm to 12:00 am. Adherence was defined as activity recorded in all 3 periods. The percentage of participant adherence for the first day, second day, both days, and either day was calculated. Demographic and clinical characteristics of adherers and nonadherers were compared. Independent adherence predictors were identified by means of stepwise logistic regression.
resultsInferred adherence rates for the first day, second day, both days, and either day were 68%, 61%, 53%, and 76%, respectively. Upper and lower extremity impairment, balance control, and endurance were significantly different between adherers and nonadherers. On the other hand, older age, greater balance self-efficacy, and better walking endurance were significant predictors of adherence. LIMITATIONS: Participants were individuals with subacute stroke. Therefore, the findings of this study may not be generalized to individuals during the acute and chronic phases of stroke recovery.
conclusionsStrategies to improve adherence are needed when collecting data for more than 1 day and in samples with younger individuals and those with low levels of balance self-efficacy and walking endurance.
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