514 Factors associated to return to work after sickness absence due to mental disorders among brazilian workers

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Abstract

Introduction

Mental disorders are the third leading cause for grant sickness social security benefit in Brazil. Those workers have longer time to return to work (RTW) comparing to other disabilities. This study aims to analyse factors associated to RTW after an episode of sickness absence due to mental disorders (MD).

Methods

A longitudinal study was conducted in the city of São Paulo, Brazil, from 2014–2016. Included 204 workers requiring sickness social security benefit due to MD. At baseline, participants fill questionnaires about sociodemographic, health risk behaviours, work characteristics, health conditions and social security history. They were followed for 365 days after the first day of sickness absence. Survival analysis (Kaplan-Meier curve and Cox regression) were performed to identify factors influencing the first RTW.

Result

The group was composed mostly by women (71.1%), people aged under 40 (67.6%) education equal or higher 12 years (80.4%) and diagnosed as depressed (52.9%). Many worked in customer service jobs (44.1%), reported effort-reward imbalance at work (57.4%) and high overcommitment (74.2%). The average time for return to work was approximately six months among the 63.0% who tried to resume their work activities. Factors associated to return to work within one year after sick leave were: aged between 30–39 years (HR 1.76; 95% CI: 1.08 to 2.79), 12 or more years of education (HR 1.87; 95% CI: 1.10 to 3.17), low alcohol intake (HR 2.65; 95% CI: 1.75 to 4.02) and low level of anxiety symptoms at baseline (HR 0.17; 95% CI: 0.04 to 0.74) – when analysis were adjusted by sex and job title.

Discussion

Sociodemographic characteristics, risk health behaviours and medical conditions at baseline were associated to RTW after sick leave due to MD. Further studies, with larger sample, are needed to improve estimates and discussion focused in interventions to early RTW in public and private sectors. Acknowledgments: CNPq grant no442051/2014–0.

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