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Record W6902348447 · doi:10.6084/m9.figshare.5082013

Patient and practitioner perspectives on reducing sedentary behavior at an exercise-based cardiac rehabilitation program

2017· article· en· W6902348447 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationPsychosocialBehavior changeIntrapersonal communicationSedentary behaviorHealth promotionThematic analysisFocus groupPsychological intervention

Abstract

fetched live from OpenAlex

Purpose: To understand the awareness of sedentary behavior, as well as the perceived facilitators and barriers to reducing sedentary behaviors from the perspectives of patients undertaking an exercise-based cardiac rehabilitation program, and from staff involved in supporting patient self-management. Materials and methods: A qualitative study was conducted at a large cardiac rehabilitation program in a metropolitan city in Canada. Guided by an ecological framework, semi-structured interviews were conducted individually with 15 patients, and in two focus groups with six staff. Transcribed interviews were analyzed by thematic analysis. Results: Patients placed little importance on reducing sedentary behavior as they were unconvinced of the health benefits, did not perceive themselves to be sedentary, or associated such behaviors with enjoyment and relaxation. While staff were aware of the risks, they saw them as less critical than other health behaviors. Intrapersonal factors (physical and psychosocial health) and environment factors (the information environment, socio-cultural factors) within leisure time, the home, and work, influenced sedentary behavior. Conclusions: While these findings require further testing, future interventions may be effective if aimed at increasing awareness of the health benefits of reducing sedentary behavior, utilizing existing behavior change strategies, and using a participatory approach to tailor strategies to patients.Implications for rehabilitationCardiac rehabilitation programs effectively use exercise promotion to improve the health of people with established cardiovascular disease.As sedentary lifestyles become more prevalent, recommendations to reduce the health risks of prolonged sedentary behavior that are specific to the characteristics and prognostic profiles of cardiac rehabilitation patients are needed.Cardiac rehabilitation programs must consider extending existing behavior change strategies utilized for exercise promotion towards addressing sedentary behaviors in order to be effective at reducing the sedentary time of patients.A participatory approach involving both patients and health professionals can support patients in reducing their sedentary behavior by providing a supportive environment for behavior change, increasing awareness and understanding of risks, discussing the feasibility of potential strategies, and setting achievable and actionable goals. Cardiac rehabilitation programs effectively use exercise promotion to improve the health of people with established cardiovascular disease. As sedentary lifestyles become more prevalent, recommendations to reduce the health risks of prolonged sedentary behavior that are specific to the characteristics and prognostic profiles of cardiac rehabilitation patients are needed. Cardiac rehabilitation programs must consider extending existing behavior change strategies utilized for exercise promotion towards addressing sedentary behaviors in order to be effective at reducing the sedentary time of patients. A participatory approach involving both patients and health professionals can support patients in reducing their sedentary behavior by providing a supportive environment for behavior change, increasing awareness and understanding of risks, discussing the feasibility of potential strategies, and setting achievable and actionable goals.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.373
Teacher spread0.339 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2017
Admission routes1
Has abstractyes

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