Self-efficacy and physical activity among cardiac rehabilitation graduates: The moderating role of social support
Bibliographic record
Abstract
Social support and barrier self-efficacy are important variables for adults who have followed a cardiac rehabilitation program, but few studies have examined their interacting effects. Therefore, the purpose of this study was to examine whether social support moderated the relationship between barrier self-efficacy and physical activity in adults post-cardiac rehabilitation. Participants (N = 57, Mage = 63, 85.5% males, 14.5% females) were adults who previously completed a cardiac rehabilitation program. They wore an accelerometer (Actigraph GT3X) for a 9-day period and valid 7-day moderate to vigorous physical activity data were retained for the analyses. Participants completed a questionnaire assessing barrier self-efficacy and social support. Separate moderation analyses were conducted to examine if social support from either family, peers or spouse moderated the relationship between barrier self-efficacy and physical activity. Peer social support was a significant moderator of the self-efficacy - physical activity relationship (B = -2.43, 95% CI = -2.82, -0.13, R2-change = 9%). At low levels of self-efficacy, participants with high social support from peers had greater physical activity levels than participants with low social support. However, when self-efficacy was high, physical activity levels were similar across the peer social support spectrum. Social support from family (B = -1.67, 95% CI= -2.46, 0.72, R2-change = 3%) and spouse (B = -0.96, 95% CI= -2.44, 0.31, R2-change = 3%) were not significant moderators. Cardiac rehabilitation graduates with low levels of barrier self-efficacy appear to be more physically active when they report greater social support from peers. Future post-cardiac rehabilitation interventions could utilize the power of peers to help increase physical activity levels of individuals with lower confidence and motivation to overcome physical activity-related barriers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".