A self-regulation resource model of self-compassion and health behavior intentions in emerging adults
Bibliographic record
Abstract
OBJECTIVE: This study tested a self-regulation resource model (SRRM) of self-compassion and health-promoting behavior intentions in emerging adults. The SRRM posits that positive and negative affect in conjunction with health self-efficacy serve as valuable self-regulation resources to promote health behaviors. METHODS: An online survey was completed by 403 emerging adults recruited from the community and a Canadian University in late 2008. Multiple meditation analyses with bootstrapping controlling for demographics and current health behaviors tested the proposed explanatory role of the self-regulation resource variables (affect and self-efficacy) in linking self-compassion to health behavior intentions. RESULTS: Self-compassion was positively associated with intentions to engage in health-promoting behaviors. The multiple mediation model explained 23% of the variance in health behavior intentions, with significant indirect effects through health self-efficacy and low negative affect. CONCLUSION: Interventions aimed at increasing self-compassion in emerging adults may help promote positive health behaviors, perhaps through increasing self-regulation resources.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".