BMC Public Health. 2025 Sep 9;25(1):3046. doi: 10.1186/s12889-025-24015-1.
ABSTRACT
BACKGROUND: Mental health problems are common in the working-age population. More knowledge is needed on how to support work participation and reduce sickness absence. The objective of the study was to estimate the distribution of mental well-being and work capacity in women and men in a working population and assess the association between mental well-being and work capacity, while adjusting for sociodemographic characteristics, health status, and working positions.
METHODS: Cross-sectional data were collected through an online survey distributed to individuals who were currently working. The study population consisted of 8462 employees (58% women). The WHO-5 Mental Well-being Index (scale ranging from 0 to 100 with higher scores representing a better mental well-being) and the Capacity to Work Instrument (C2WI) (scale ranging from 14 to 56 with higher scores representing a more strained work capacity) were used. Univariable and multivariable linear regressions were used to assess the associations between self-perceived mental well-being and capacity to work, adjusting for sociodemographic characteristics, health status, and working positions.
RESULTS: Low self-perceived mental well-being and strained work capacity were more common among women, particularly younger aged (18-34 years). Poor health status was associated with strained work capacity in both men and women. Regression analyses showed that lower self-perceived mental well-being was significantly associated with strained work capacity. Among women, the fully adjusted model showed a regression coefficient (B) of – 0.253 (95% CI: -0.264 to – 0.242); among men, it was – 0.225 (95% CI: -0.237 to – 0.213).
CONCLUSIONS: This study, focusing on a currently working population, identified disparities in self-perceived mental well-being and work capacity across gender and age groups. These findings underscore the importance of early workplace interventions to support mental well-being and work capacity in these sub-groups. Notably, the association between the WHO-5 and C2WI may be partly attributable to item-level overlap, as certain C2WI items may capture symptoms related to mental health. This potential overlap should be considered when interpreting the findings.
PMID:40926225 | DOI:10.1186/s12889-025-24015-1
