Psychosocial Risks and Sick Leave Due to Mental Disorders in Brazil: National Time-Series (2012–2024)
DOI:
https://doi.org/10.1590/SciELOPreprints.15455Keywords:
occupational health, mental disorders, psychosocial factors, social security, time series studiesAbstract
Objective: To analyze the temporal evolution of work-related sickness absence due to mental disorders in Brazil between 2012 and 2024.
Methods: Ecological time-series study using national data from SmartLab. Common (B31), work-related (B91), and total social security benefits were examined. GAMLSS modeling with a negative binomial type II distribution was applied, accounting for overdispersion and nonlinear trends, with model selection based on GAIC. Interpretation was grounded in psychosocial risk frameworks, particularly the demand–control and effort–reward imbalance models. Results: A growing and nonlinear trend in sickness absence was observed over the analyzed period. B31 benefits accounted for 95.5% of the total, while B91 represented 4.5%. For B91, the inclusion of an indicator variable for 2019 suggested a possible structural change in the series.
Conclusion: There was a consistent increase in sickness absence and a discrepancy in the recognition of occupational nexus, reinforcing the need to strengthen surveillance and management of psychosocial factors at work.
Downloads
Posted
How to Cite
Section
Copyright (c) 2026 Marsileidy Silva, Cláudia Mazzoni

This work is licensed under a Creative Commons Attribution 4.0 International License.
Plaudit
Data statement
-
The research data is available in one or more data repository(ies)


