Background/Aim: Depression is a growing public health concern associated with
disability, decreased quality of life, increased multimorbidity, and
premature mortality. This study aimed to estimate the prevalence of
depressive symptoms in the general population of Serbia and to analyse its
association with sociodemographic factors. Methods: Data from the 2019
Serbian National Health Survey was analysed (a sample of 12,406
respondents). The questionnaires used in this study were in accordance with
the methodology of the European Health Interview Survey - EHIS Wave 3. The
Patient Health Questionnaire (PHQ-8) was used to determine the prevalence of
depressive symptoms among the population aged ? 15 years. Multivariate
logistic regression analyses were implemented to assess the association of
the prevalence of depressive symptoms with sociodemographic characteristics
of the population. Results: The prevalence of both mild (7.5% vs. 4.4%) and
moderate/severe depressive symptoms (2.6% vs. 1.5%) was higher among women
than men, and continuously increased with age (13.6% of adults aged ? 65
years had mild and 5.0% moderate/severe symptoms). The highest rates of
moderate/severe depressive symptoms had respondents from Vojvodina (2.7%),
those who lived without a partner (2.7%), lower educated (4.4%), and poor
(3.4%), with inactive employment status (3.7%) and with poor social support
(6.6%). Multivariate analyses showed that the highest odds of depressive
symptoms had respondents aged ? 65 years (OR=6.53; 95%CI: 6.37-6.69), in the
Vojvodina region, particularly males (OR=1.96, 95%CI: 1.89-2.04),
respondents who lived without a partner (OR=1.49, 95%CI: 1.47-1.51), lower
educated (OR=2.27; 95%CI: 2.22-2.33) and poor (OR=2.54; 95%CI: 2.49-2.58) as
well as those with poor social support (OR=3.71; 95%CI: 3.64-3.77).
Conclusion: The prevalence of depressive symptoms in the general population
of Serbia was relatively low and requires further monitoring. Female gender,
older age, living in the region of Vojvodina, life without a partner,
socioeconomic disadvantages, and lack of social support were identified as
the main associated factors.