Abstract

Objectives: This paper aims to estimate the associations between common mental disorders (CMD) as well as cases of alcohol abuse/dependence (ADD) with sociodemographic variables in population assisted by Family Health Program (FHP) in Santa Cruz do Sul, Southern Brazil. Methods: All residents over 14 years of age from 3 areas assisted by the FHP were invited to participate between 10 February 2006 to 10 February 2007. Results: Of 2921 participants, the prevalence estimates of suspected cases of CMD and ADD were 29.93% and 12.07%, respectively. Female, unfavorable employment situation, low schooling and low income showed a positive and independent association with CMD. Male, unfavorable employment situation and CMD showed an independent association with ADD. Conclusions: Groups with unfavorable socioeconomic conditions present the highest risk and should be taken into account when planning public mental health policies.

Highlights

  • Mental disorders are increasingly recognized as an important public health problem

  • This paper aims to estimate the associations between common mental disorders (CMD) as well as cases of alcohol abuse/dependence (ADD) with sociodemographic variables in population assisted by Family Health Program (FHP) in Santa Cruz do Sul, Southern Brazil

  • About 90% of these prevalence estimates are related to common mental disorders (CMD —mood, anxiety and somatization disorders) and alcohol abuse or dependence (AAD) [1]

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Summary

Introduction

Mental disorders are increasingly recognized as an important public health problem. Prevalence estimates of mental disorders in population survey studies range from 12.2% to 48.6%, depending on the screening or diagnostic methods used. About 90% of these prevalence estimates are related to common mental disorders (CMD —mood, anxiety and somatization disorders) and alcohol abuse or dependence (AAD) [1]. Among the ten main causes of global burden in this age group, six are mental disorders and among the ten main causes of YLD, seven are mental disorders [1]. Despite this fact, there is an important treatment gap in mental health. It is estimated that 40% to 70% of people suffering of mental disorder do not receive adequate diagnosis and treatment [2]

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