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Record W4409895496 · doi:10.1080/08870446.2025.2496226

Everyday moderate-to-vigorous physical activity in stroke survivors: the role of individual and joint intentions and self-efficacy

2025· article· en· W4409895496 on OpenAlexafffund
Elizabeth Zambrano Garza, Theresa Pauly, Rachel A. Murphy, Maureen C. Ashe, Kenneth Madden, Wolfgang Linden, Denis Gerstorf, Christiane A. Hoppmann

Bibliographic record

VenuePsychology and Health · 2025
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsSimon Fraser UniversityUniversity of British Columbia
FundersCanada Research ChairsHeart and Stroke Foundation of Canada
KeywordsStroke (engine)PsychologyJoint (building)Physical activitySelf-efficacyPhysical medicine and rehabilitationClinical psychologyPhysical therapyGerontologyDevelopmental psychologySocial psychologyMedicineEngineering

Abstract

fetched live from OpenAlex

OBJECTIVES: Corroborate and extend previous evidence on individual intentions and self-efficacy for moderate-to-vigorous physical activity in a sample of stroke survivors. Examine associations between joint (with their romantic partner) intentions and self-efficacy for moderate-to-vigorous physical activity. METHODS: = 10.79; 73% male; 35% with college degree; 82% White) reported their individual and joint intentions and self-efficacy in the morning, minutes engaged in moderate-to-vigorous physical activity in the evening and wore physical activity monitors. RESULTS: Individual self-efficacy was not related to moderate-to-vigorous physical activity, but individual intentions were associated with higher self-reported moderate-to-vigorous physical activity minutes. Joint variables (intentions and self-efficacy) were found to predict self-reported moderate-to-vigorous physical activity minutes, but not accelerometer-measured moderate-to-vigorous physical activity. CONCLUSION: Findings shed light on when and how individual intentions and intentions involving one's spouse are beneficial for moderate-to-vigorous physical activity among individuals living with the effects of a 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 score0.426
Threshold uncertainty score0.210

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 head0.034
GPT teacher head0.380
Teacher spread0.346 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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