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Common mental disorders and sociodemographic characteristics: baseline findings of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

Overview of attention for article published in Revista Brasileira de Psiquiatria, January 2016
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Title
Common mental disorders and sociodemographic characteristics: baseline findings of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)
Published in
Revista Brasileira de Psiquiatria, January 2016
DOI 10.1590/1516-4446-2015-1714
Pubmed ID
Authors

Maria A. Nunes, Andréa P. Pinheiro, Marina Bessel, André R. Brunoni, Andrew H. Kemp, Isabela M. Benseñor, Dora Chor, Sandhi Barreto, Maria I. Schmidt

Abstract

To assess the prevalence of common mental disorders (CMD) and the association of CMD with sociodemographic characteristics in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort. We analyzed data from the cross-sectional baseline assessment of the ELSA-Brasil, a cohort study of 15,105 civil servants from six Brazilian cities. The Clinical Interview Schedule-Revised (CIS-R) was used to investigate the presence of CMD, with a score ≥ 12 indicating a current CMD (last week). Specific diagnostic algorithms for each disorder were based on the ICD-10 diagnostic criteria. Prevalence ratios (PR) of the association between CMD and sociodemographic characteristics were estimated by Poisson regression. CMD (CIS-R score ≥ 12) was found in 26.8% (95% confidence intervals [95%CI] 26.1-27.5). The highest burden occurred among women (PR 1.9; 95%CI 1.8-2.0), the youngest (PR 1.7; 95%CI 1.5-1.9), non-white individuals, and those without a university degree. The most frequent diagnostic category was anxiety disorders (16.2%), followed by depressive episodes (4.2%). The burden of CMD was high, particularly among the more socially vulnerable groups. These findings highlight the need to strengthen public policies aimed to address health inequities related to mental disorders.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 151 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 15%
Student > Bachelor 19 13%
Researcher 15 10%
Student > Doctoral Student 15 10%
Student > Ph. D. Student 11 7%
Other 33 22%
Unknown 35 23%
Readers by discipline Count As %
Medicine and Dentistry 43 28%
Nursing and Health Professions 27 18%
Psychology 12 8%
Social Sciences 8 5%
Computer Science 3 2%
Other 10 7%
Unknown 48 32%