The Sustainability of a Workplace Wellness Program That Incorporates Gamification Principles: Participant Engagement and Health Benefits After 2 Years
Why this work is in the frame
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Bibliographic record
Abstract
Purpose: To evaluate the results of a workplace wellness program that incorporates gamification principles. Design: In this prospective cohort study, the participation rate and observed health outcomes were evaluated after approximately 2 years. Setting and participants: All permanent employees (n = 775) of a national company located in Canada were eligible to participate. Intervention: The wellness program included web-based challenges (team or individual) incorporating gamification strategies to improve exercise, nutrition, weight reduction, and mental health management behaviors. Measures and analysis: The primary outcomes were employee participation rates. The secondary pre-specified outcomes were the sustained benefits of the program on physical and mental health measures. Results: Participation rates in the health screenings were 78% (baseline), 54% (year 1), and 56% (year 2). Participation in the 4 team web-based challenges ranged from 33% to 68% with 76% to 86% of participants tracking their activity on at least half of the days. After 2 years, there were significant clinical improvements in systolic blood pressure (−1.3mm Hg), total cholesterol/high-density lipoprotein (HDL) ratio (−0.14), glycated haemoglobin (HbA 1c ; −0.1%), weekly physical activity (+264 Metabolic Equivalents [METs]), perceived stress score (−17%), insomnia severity index (−16%), general fatigue (−10%), and reductions in the cardiovascular age gap (−0.3 years). Greater benefits occurred among employees at higher risk. Conclusions: Workplace wellness programs that evolve over time and focus primarily on fun and competitive challenges may support long-term participation, behavior change, and sustained improvements in clinical outcomes.
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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 | 0.017 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it