Simic Vera, Vukomanovic Ivana Simic, Radevic Svetlana, Vukomanovic Vladimir, Djukic Svetlana, Darijan Albert, Radovanovic Jovana, Selakovic Viktor, Stepovic Milos, Fetahovic Ermin, Radovanovic Snezana
Department of Nursing, Secondary Medical School, Belgrade, Belgrade, Serbia.
Department of Social medicine, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Iran J Public Health. 2024 Apr;53(4):867-877. doi: 10.18502/ijph.v53i4.15563.
Lower socioeconomic groups were more affected by depressive symptoms among adults of Serbia. In this study, we tested a model that examines association between sociodemographic factors and depressive symptoms among adult population in Serbia.
The study was conducted within the National Health Survey of the Serbian population in 2019. The questionnaires used as instruments in this study were created in accordance with the questionnaires of the European Health Interview Survey -Third Wave. The Patient Health Questionnaire - 8 was used to evaluate the presence of depressive symptoms to the adult population aged 20 years and over. The relations between depression symptoms and a set of independent variables were examined with univariate and multivariate logistic regression analyses.
The prevalence of mild depressive symptoms was 6.6%, %, the prevalence of depressive episodes was 2.2%, while 91.2% of respondents had no depressive symptoms. In the univariate regression model, depressive episodes is 1.9 times more frequent in women (OR=1.909), 6.6 times more frequent in persons over 80 years of age (OR=6.610 ), 3.1 times more frequent in divorced or without a partner (OR=3.143 ), 6.6 times more frequent in persons with low education (OR=6.609), 3.3 times more frequent in persons with a poor well-being index (OR=3.373), 3.6 times more frequent in persons inactive (OR=3.649) and 1.9 times more frequent in persons from Vojvodina (OR=1.902).
Sociodemographic factors should be considered for policymaking and for the development of new interventions to lower prevalence of depressive symptoms in adults.
在塞尔维亚成年人中，社会经济地位较低的群体受抑郁症状影响更大。在本研究中，我们测试了一个模型，该模型考察了塞尔维亚成年人群体中社会人口学因素与抑郁症状之间的关联。
该研究于2019年在塞尔维亚全国人口健康调查中开展。本研究中用作工具的问卷是根据欧洲健康访谈调查第三波的问卷编制的。采用患者健康问卷 - 8来评估20岁及以上成年人群体中抑郁症状的存在情况。通过单变量和多变量逻辑回归分析来检验抑郁症状与一组自变量之间的关系。
轻度抑郁症状的患病率为6.6%，抑郁发作的患病率为2.2%，而91.2%的受访者没有抑郁症状。在单变量回归模型中，抑郁发作在女性中发生频率高1.9倍（比值比=1.909），在80岁以上人群中高6.6倍（比值比=6.610），在离婚或无伴侣者中高3.1倍（比值比=3.143），在低教育程度者中高6.6倍（比值比=6.609），在幸福感指数低的人群中高3.3倍（比值比=3.373），在不活动人群中高3.6倍（比值比=3.649），在伏伊伏丁那地区的人群中高1.9倍（比值比=1.902）。
在制定政策和开发新的干预措施以降低成年人抑郁症状患病率时，应考虑社会人口学因素。
