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Record W2743801430

Use of complementary theories to examine exercise adherence among cardiac rehabilitation initiates

2010· article· en· W2743801430 on OpenAlexaffabout
Tara Anderson, Lawrence R. Brawley

Bibliographic record

VenueJournal of Exercise, Movement, and Sport · 2010
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsRehabilitationSet (abstract data type)Affect (linguistics)PsychologyPerceptionGroup effectClinical psychologyMedicinePhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

Complementary use of theories may provide more information about adherence to exercise therapy than a single theory. Top-down theories (Self-Efficacy Theory: SET) outline cognitive processes that affect behavior. Bottom-up theories (Common Sense Model: CSM) consider individuals' appraisals that influence behavior. Both SET and CSM were used in complimentary fashion to examine psychological aspects of cardiac rehabilitation (CR) initiates' exercise adherence. A prospective design was used to examine participants during the 3-month initiation phase of a standard CR program. Our first purpose was to determine if strength of CSM illness perceptions (IP) could classify CR initiates to stronger/weaker IP groups. Our second purpose was to detect any differences between IP groups on SET variables and 3-month exercise adherence. Participants ( N =49) completed the IP Questionnaire, self-regulatory efficacy and negative outcome expectations (OEs) scales. At CR onset, cluster analysis successfully classified participants to weaker (n = 21) and stronger (n = 28) IP groups. Groups differed significantly on the IPs of illness identity, consequences, and emotion ( p = .0001). The stronger IP group had higher negative OEs ( p = .03) and was less adherent to CR exercise after 3 months ( p = .04). This study identifies new psychological differences relative to CR initiates' adherence to exercise by using complimentary theories. Acknowledgments: CIHR MSc & Canada Research Chair awards

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.046
GPT teacher head0.357
Teacher spread0.311 · 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 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

Citations0
Published2010
Admission routes2
Has abstractyes

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