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 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 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".