Predicting Mental Health–Related Sick Leave Using Stress Check Data: Development and Validation of a Workplace Risk Model
The proposed model demonstrated robust predictive validity and outperformed the conventional high-stress classification. By providing quantitative and continuous risk stratification within the Stress Check framework, it offers a practical approach to support risk-based prioritization and decision-making in occupational health practice.
Authors
- Shunsuke Inoue (ORCID: https://orcid.org/0000-0002-3775-6536)
- Naoto Ito (ORCID: https://orcid.org/0000-0001-7082-9058)
- Koji Mori
- Yuka Takahashi
- Masahide Minami
- Tomohisa NAGATA
- Yusuke Hoshi
- Mika Sato
- Masayoshi Ida
Institutions
- University of Occupational and Environmental Health Japan (JP)
- Komatsu College (JP)
- Komatsu (Japan) (JP)
Publication Details
- Journal
- Journal of Occupational Health
- Published
- 2026-02-26
- DOI
- https://doi.org/10.1093/joccuh/uiag011
- Primary Topic
- Workplace Health and Well-being
- Type
- article
- Field-Weighted Citation Impact
- 0.00