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Prevalence of Depression Among Employees in the Public Administration, Private and Industrial Sectors Cover

Prevalence of Depression Among Employees in the Public Administration, Private and Industrial Sectors

Open Access
|May 2023

Abstract

Background

Symptoms of depressive disorder have been found to be particularly common among employees in the private administration, public, and industrial sectors.

Aims

This study aimed to assess the prevalence of depression among the specified groups of workers and to identify the main stressors that lead to symptoms of this condition.

Materials and methods

A self-administrated questionnaire was completed by respondents comprised of three groups of workers in the Republic of North Macedonia – Skopje. The survey assessed the sociodemographic characteristics and mental health (Patient Health Questonnaire-9). Logistic regression models were used to estimate associations between depressive symptoms and demographics, working environment and lifestyle parameters.

Results

The analysis of the total PHQ-9 score divided into two groups (≤ 10 and ≥ 10) indicated that 89% of the respondents had minimal/mild depression and 11% had moderate/severe depression. We have found a significant association between the group to which the respondent belongs and the degree of depression. Severe depression was significantly associated with work in public institutions.

Conclusion

Screening for depression among workers is necessary because of its high prevalence and high rates of underdiagnosis in the workplace. Early diagnosis and appropriate interventions are recommended, including actions focused on the risk factors for depression at the workplace.

DOI: https://doi.org/10.2478/amb-2023-0018 | Journal eISSN: 2719-5384 | Journal ISSN: 0324-1750
Language: English
Page range: 42 - 48
Submitted on: Nov 13, 2022
Accepted on: Jan 31, 2023
Published on: May 14, 2023
Published by: Sofia Medical University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 N. Stancheva-Pargov, V. Stoyanova, published by Sofia Medical University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.