MAD-OHP
Department of psychology, NTNU
Modeling, Assessment, and Diagnostics in Occupational Health Psychology (MAD-OHP)
Job-related distress has become a focal concern among occupational health specialists and public decision-makers. The World Health Organization estimates that 12 billion working days are lost every year to depression and anxiety at a cost of US$ 1 trillion per year in lost productivity.
The MAD-OHP group aims to provide occupational health specialists with optimized assessment and measurement systems for job-related distress and resilience-promoting factors. The availability and use of robust assessment and measurement systems are primary conditions for the development of effective interventions and prevention policies.
Collaborators
- Alexandre J. S. Morin - Concordia University
- Wilmar B. Schaufeli - Utrecht University & KU Leuven
- Irvin Sam Schonfeld - City University of New York
- Jay Verkuilen - City University of New York
- Katarzyna Wac - University of Geneva