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Record W3072262965 · doi:10.1037/rep0000361

Self-regulatory efficacy for exercise in cardiac rehabilitation: Review and recommendations for measurement.

2020· review· en· W3072262965 on OpenAlexfundno aff
Sean Locke, Casey McMahon, Lawrence R. Brawley

Bibliographic record

VenueRehabilitation Psychology · 2020
Typereview
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsnot available
FundersCanada Research Chairs
KeywordsRehabilitationPhysical therapyPhysical medicine and rehabilitationMedicinePsychology

Abstract

fetched live from OpenAlex

PURPOSE: Self-regulatory efficacy (SRE) is a psychological resource necessary for cardiac rehabilitation (CR) exercise adoption and maintenance. A 2008 review of self-efficacy for CR exercise identified the need for more high-quality research on SRE. The present review had 4 purposes: (a) to review the characteristics of empirical SRE and CR exercise research since 2008; (b) to examine the quality of SRE measurement; (c) to determine whether varying quality of SRE measurement moderated the relationship between SRE, exercise, and CR social cognitions; and (d) to make recommendations for better measurement for future research. METHOD: An initial search of 766 possible studies identified 29 for review. These included individuals engaged in or completing CR where SRE for exercise and relevant outcomes was assessed. Meta-analysis examined whether SRE measurement quality was associated with the magnitude of effects observed and to determine potential moderation by quality. RESULTS: There were 11 unique operationalizations of SRE for exercise. Problematic factors included: non-SRE variables assessed as the construct, using global versus specific measures, and lack of a time frame over which SRE applied. Effect size was related to stronger relationships as level of study and measurement quality increased. CONCLUSION: Since 2008, an increase in studies examining SRE and CR exercise was observed. To advance SRE and CR exercise research, measurement and research quality improvements are recommended that have implications for future mediation and CR intervention assessment. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
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 head0.078
GPT teacher head0.463
Teacher spread0.385 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2020
Admission routes1
Has abstractyes

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