Predictors of depression problems of adults who live in the security endangered territory

Author:

Mirkovic Momcilo1,Djuric Sladjana1,Trajkovic Goran2,Milosevic Jovana1,Sojevic-Timotijevic Zorica1

Affiliation:

1. School of Medicine, Kosovska Mitrovica

2. School of Medicine, Belgrade

Abstract

Introduction. By the year 2020, if current trends for demographic and epidemiological transition continue, the burden of depression will have increased to 5.7% of the total burden of disease, thus becoming the second leading cause of disability-adjusted life year (DALY) lost. Early detection of people at risk of developing any mental disorder is extremely important in the prevention of all mental disorders. Objective. The objective of the study was to determine depression predictors among adult residents in four Kosovo and Metohia municipalities predominantly inhabited by Serbian population. Methods. This cross-sectional study included the representative sample of adults in Leposavic, North Kosovska Mitrovica, Gnjilane and Pristina and was performed in October/November of 2009. The sample was selected from the list of citizens older than 18, received in the above mentioned municipalities. The Goldberg General Health Questionnaire (GHQ-28) was used as a research instrument. The methods of statistical analysis included descriptive statistics, simple and multiple logistic regression analysis, and analysis of variance, with a significance level of 0.05. Results. Problems with depression have been significantly associated with female sex (OR=2.24), older age (OR=1.01), lower levels of education (OR=0.50), unemployment (OR=1.09), poor financial situation (OR=0.45), abuse (OR=0.08) and assessment of the future political and security situation as a highly risky one (OR=3.01). Conclusion. To determine risk groups being in greater risk to suffer from depression is important for planning, enhancing, promoting and implementing the prevention strategies for this disease.

Publisher

National Library of Serbia

Subject

General Medicine

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