The Measurable Benefits of a Workplace Wellness Program in Canada
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to evaluate the impact of an employee wellness program in Canada. METHODS: A comprehensive program including web-based lifestyle challenges was evaluated with annual health screenings. RESULTS: Among 730 eligible employees, 688 (94%) registered for the program, 571 (78%) completed a health screening at baseline, and 314 (43%) at 1 year. Most (66%) employees tracked their activity for more than 6 weeks. At 1-year follow-up, there were significant clinical improvements in systolic blood pressure -3.4 mm Hg, and reductions in poor sleep quality (33% to 28%), high emotional stress (21% to 15%), and fatigue (11% to 6%). A positive dose-response was noted where the greatest improvements were observed among those who participated the most. CONCLUSION: The program had high employee engagement. After 1 year, the benefits included clinically important improvements in physical and mental health.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".