Are cluster profiles of work-related psychosocial circumstances associated with health-related indicators among employees of a Swedish public organization
Work-related circumstances have consistently been found important for mental health. Yet, most research is variable-oriented, ignoring individual variations. This study used a complementary person-oriented approach to investigate associations between work-related psychosocial factors and health-related indicators among white-collar workers in a large Swedish public organization. The overall aim was to identify distinct cluster profiles of psychosocial work circumstances and examine differences in health-related indicators across these cluster profiles. Online questionnaires were distributed to all employees, with 1,692 volunteering anonymous participation. Measures included mostly single-items of psychosocial factors (autonomy, work demands, social support, and social climate), and health-related indicators (self-rated health, recovery from work, and work/life balance). Cluster analysis yielded four distinct cluster profiles: the supporting cluster profile with nearly 50% of employees; the challenging and the demanding cluster profiles, each including about one third of the employees; and the constraining cluster, the smallest group. Overall, the supporting cluster profile had the highest levels of self-rated health, recovery, and work/life balance, followed by the challenging and the demanding cluster profile. The constraining cluster profile exhibited the poorest health. Taken together, most employees had supporting psychosocial circumstances with opportunities to do a good job while maintaining long-term health, whereas other employees may face poor health over time. This underscores the need for tailored interventions to improve the psychosocial work environment for different groups. Although the cross-sectional design is a limitation, the person-oriented approach provides insights into the variability of work-related psychosocial circumstances, regardless of demographics, and their implications for organizational sustainability.







