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Promoting Psychological Well-Being at Work by Reducing Stress and Improving Sleep: Mixed-Methods Analysis
Denny Meyer1,2, Madawa W Jayawardana1, Samuel D Muir2
1Department of Statistics, Data Science and Epidemiology, Swinburne University of Technology, Melbourne, Australia.
This study evaluated a digital employee well-being program, finding it improved psychological well-being, sleep, and productivity. Engagement with most program modules and features positively impacted outcomes, especially for older employees.
Area of Science:
- Occupational Health
- Digital Health Interventions
- Employee Well-being Programs
Background:
- Workplace health and psychological well-being programs are increasingly common.
- Effectiveness and engagement factors for these programs are not well understood.
Purpose of the Study:
- To evaluate a broad, team-based, digital health and well-being program.
- To identify program elements that reduce work stress and improve employee psychological well-being, sleep quality, and productivity.
Main Methods:
- Mixed-methods evaluation of the Virgin Pulse Global Challenge program (May-September 2016).
- Collected pre- and post-program self-reported data on stress, sleep, productivity, and well-being.
- Used random forest and weighted hierarchical linear models to address low survey response rates (48% and 10%).
Main Results:
- The program showed greater benefits for older employees; women reported higher psychological well-being improvements than men.
- Most program modules significantly improved psychological well-being (4.1%-6.0%), sleep quality (3.2%-6.9%), stress reduction (1.7%-6.8%), and productivity (1.9%-4.2%).
- Healthy lifestyle descriptions correlated positively with outcomes, while physical activity and step tracking descriptions correlated negatively.
Conclusions:
- Mixed-methods analysis provided rich data for developing employee health programs.
- Low response rates and lack of a control group are limitations, despite analytical adjustments.
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