The Role of Positive Emotion and Ego-Resilience in Determining Men’s Physical Activity Following a Workplace Health Intervention
Bibliographic record
Abstract
Men are a hard-to-reach group in the promotion of modifiable behaviors such as physical activity. Examining the individual differences among men that might predict positive behavior changes could support customization of health promotion programs. This study examined the role of emotional outlook, positive emotion, and ego-resilience in determining men’s physical activity and health-related quality of life following implementation of a gender-sensitive workplace health intervention. Using a pre–post within-subjects design, computer-assisted telephone interviewing (CATI) was used to collect measures of emotion and ego-resilience along with physical activity and health-related quality of life (using the 12-item short form [SF-12]) at baseline ( n = 139) and after 6 months ( n = 80) from adult men ( M age = 43.7, SD = 12.5). Baseline emotional outlook and ego-resilience were both positively related to increased physical activity at follow-up among men. Emotional outlook and positive emotion were positively related to ego-resilience, and ego-resilience mediated the relationship between these and the physical component of health-related quality of life. Workplace health interventions that incorporate the promotion of personal resources hold potential for greater impacts.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".