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Record W1983835945 · doi:10.12968/ijtr.2011.18.9.520

Exercise perceptions among people with stroke: barriers and facilitators to participation

2011· article· en· W1983835945 on OpenAlexafffund
Lisa A. Simpson, Janice J. Eng, Amira Tawashy

Bibliographic record

VenueInternational Journal of Therapy and Rehabilitation · 2011
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsDalhousie UniversityUniversity of British Columbia
FundersCanadian Institutes of Health ResearchU.S. Public Health Service
KeywordsFacilitatorStroke (engine)Focus groupPsychological interventionPerceptionExploratory researchMedicineQualitative researchPsychologyPhysical activityPhysical therapyNursingSocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND/AIMS: People with stroke continue to lead sedentary lives despite the multiple benefits of exercise. Knowledge regarding stroke survivors' conception of exercise, which is essential for a thorough understanding of the barriers and facilitators to exercise, is lacking. This study aims to explore the perceptions of exercise among stroke survivors, including their concepts and definitions of exercise, as well as their perceptions of barriers and facilitators to exercise. METHODS: This study utilized a qualitative exploratory design. Focus groups were conducted with 11 community dwelling participants with stroke (mean 8 ± 3 years post stroke). Data was analysed using content analysis methods. FINDINGS: Six themes that provided information regarding participants' perceptions of exercise were identified: mobility, balance, self-efficacy, outcomes, support, and exercise as part of an active or healthy lifestyle. Although participants internalized specific benefits of exercise, they did not demonstrate an internalized link between exercise and stroke risk. Low self-efficacy was identified as a barrier to participating in exercise, whereas, support to exercise (e.g., external encouragement, qualified personnel) was identified as a facilitator. CONCLUSION: These findings may provide insight when developing exercise interventions which optimize adherence for people with stroke.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.281
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations130
Published2011
Admission routes2
Has abstractyes

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