Associations between occupational factors and self-rated health in the national Brazilian working population

BMC Public Health. 2019 Oct 26;19(1):1381. doi: 10.1186/s12889-019-7746-5.

Abstract

Background: The literature remains seldom on the topic of self-rated health (SRH) among the national working populations of emerging countries. The objectives of the study were to examine the associations of occupational factors with SRH in a national representative sample of the working population in Brazil.

Methods: This study relied on a cross-sectional sample of 36,442 workers, 16,992 women and 19,450 men. SRH was the studied health outcome. Sixteen occupational factors related to four topics were studied: employment characteristics, working time/hours, psychosocial work factors and physical and chemical work exposures. The associations between occupational factors and SRH were studied using logistic regression models with adjustment for sociodemographic characteristics (age, ethnicity and marital status). The analyses were performed for each gender separately and using weights.

Results: The prevalence of poor SRH was 26.71%, this prevalence being higher among women (29.77%) than among men (24.23%). The following risk factors for poor SRH were found among men and women: working as a self-employed worker, clerk/service worker, manual worker, part-time (≤ 20 h/week), exposure to work stress, exposure to high physical activity and exposure to sun. The risk factors for poor SRH among women only were: working as a domestic worker and exposure to noise, and among men, working in the agriculture sector.

Conclusions: Our study suggested that occupational factors related to both physical and psychosocial work environment may be associated with SRH in the working population in Brazil. Improving working conditions may be beneficial for health at work in Brazil.

Keywords: Occupational exposures, working conditions; Self-rated health; Self-reported health; Workers; Working population.

MeSH terms

  • Adult
  • Brazil
  • Cross-Sectional Studies
  • Diagnostic Self Evaluation*
  • Employment / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Risk Factors