ArticleScientific reports2023
The relationship between socio-demographic factors and depression: a cross sectional study among civilian participants in hostilities in Ukraine.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- What is the prevalence of depression and anxiety in externally and internally displaced Ukrainian refugees? A European mixed-methods study.BMC public health · 2026Article
- Article
- Does dispositional envy predict depression severity in Ukrainian adults living in wartime?Frontiers in psychology · 2026Article
- Development and Validation of a Nomogram to Predict Depression Risk in Patients with Cardiovascular Disease.Healthcare (Basel, Switzerland) · 2025Article
- Article
- Coping, meaning in life, and quality of life during ongoing conflict: insights from Israeli populations.Israel journal of health policy research · 2025Article
- Comparison of psychological distress, loneliness, and social network structure between Ukrainian war refugees and Polish citizens: a cross-sectional study in Wroclaw.Frontiers in public health · 2025Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is still a gap in scientific knowledge in relation to civilian participants in hostilities. This is despite the fact that there is an extensive body of literature on major depressive disorder (MDD) in individuals who have experienced armed conflict. The purpose of this article is to identify socio-demographic factors which are related to levels of depression among civilian participants in the war in Ukraine, based on a cross-sectional study that was conducted in 2019 from a convenience sample of 314 Ukrainian adults (235 males). Depression was assessed via the Beck Depression Inventory. Multiple regression analyses were conducted to identify possible predictors of depression. Significant predictors were: loss of a loved one, place of residence, age, health insurance, financial situation, and marital status (F (6, 224) = 10.515, p < 0.001, R
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