Background: Individualizing interventions is imperative to optimize physical activity in people with chronic stroke. This secondary analysis grouped individuals with chronic stroke into clinical profiles based on baseline characteristics and examined if these clinical profiles preferentially benefitted from a specific rehabilitation intervention to improve daily step activity. Methods: Participants had non cerebellar strokes >6 months prior to enrollment, were 21-85 years old, had walking speeds of 0.3-1.0 m/s, and took <8,000 steps per day. Participants were randomized to 1 of 3 interventions: high intensity treadmill training (FAST), a step activity behavioral intervention (SAM), or a combined intervention (FAST+SAM). The primary outcome was the interaction of latent class (clinical profile) and intervention group (FAST, SAM, FAST+SAM) on a change in steps per day. Key clinical characteristics to identify the latent classes included walking speed, walking endurance, balance self efficacy, cognition, and area deprivation. Results: Of the 190 participants with complete pre and post intervention data (mean [SD] age, 64 [12] years; 93 females [48.9%]), 3 distinct profiles of people with chronic stroke were identified. Within our sample, class 1 had the lowest walking capacity (speed and endurance), lowest balance self efficacy, and highest area deprivation, and had the greatest change in step activity when enrolled in the SAM (mean[95%CI], 1624 [426-2821]) or FAST+SAM (1150 [723-1577]) intervention. Class 2 had walking capacity, baseline steps per day, and self efficacy values between Class 1 and 3, and had the greatest change in step activity when enrolled in the SAM (2002 [1193-2811]) intervention. Class 3 had the highest walking capacity, highest self efficacy, and lowest area deprivation and the greatest change in step activity when enrolled in the FAST+SAM (1532 [915-2150]) intervention. Conclusions: People with chronic stroke require different interventions to optimize a change in step activity. Clinicians can use clinically relevant measures to personalize intervention selection to augment step activity in people with chronic stroke.
Competing Interest StatementThe authors have declared no competing interest.
Clinical Protocolshttps://www.ahajournals.org/doi/10.1161/STROKEAHA.123.044596
https://bmcneurol.biomedcentral.com/articles/10.1186/s12883-018-1044-1
Funding StatementThis work was primarily funded by NIH/NICHD: Promoting Recovery Optimization with WALKing Exercise after Stroke (PROWALKS), 1R01HD086362; NIH/NICHD Predoctoral Training in Physical Therapy and Rehabilitation Research, T32HD007490; This research has been supported in full or part from the Foundation for Physical Therapy Research; NIH NICHD/NCMRR R25HD105583: Reproducible Rehabilitation Research Educational Program. The funding sources played no role in study design, execution, administration, or dissemination.
Author DeclarationsI confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
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The details of the IRB/oversight body that provided approval or exemption for the research described are given below:
The Institutional Review Board of the University of Delaware gave ethical approval for this work.[878153]
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I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).
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I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable.
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Data AvailabilityAll data produced in the present study are available upon reasonable request to the authors. Data from the primary analysis of the parent randomized control trial are available on the NICHD DASH repository.
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