Turk Psikiyatri Derg. 2024 Fall;35(3):167-177. doi: 10.5080/u27179.
This study aims to determine the prevalence of depressive symptoms in the adult population in Türkiye and to examine the relationship of depression with socio-demographic and behavioral variables and chronic diseases.
This sturdy utilized data from the 2019 Turkey Health Survey. The Patient Health Questionnaire Depression Module (PHQ- 8) was employed to assess depressive symptoms in the survey. Based on the analysis using the diagnostic algorithm of the PHQ-8, from a total of 17084 people aged 15+ years old who were, we selected 6.4% individuals with depressive symptoms. Then, we randomly selected 1101 individuals without depressive symptoms, comprising of a total of 2202 individuals as the study sample. We assessed the factors associated with depressive symptoms using multivariate logistic regression analyses.
The risk of developing depressive symptoms increased with age. Women were more likely to report depressive symptoms. Education, physical activity, and marital status were negatively correlated with reporting depressive symptoms. Further, social support was a protective factor to report depressive symptoms. The presence of chronic diseases was positively associated with depressive symptoms.
The results showed that point and annual prevalence of depressive symptoms were high. The findings provide a basis for further studies to explore the factors associated with a higher prevalence of depressive symptoms in Türkiye. Our findings could serve as a reference to monitor depression in the country, as well as help in the planning of health resource and identify high risk segments of the population.
本研究旨在确定土耳其成年人中抑郁症状的流行率,并探讨抑郁与社会人口学和行为变量以及慢性疾病的关系。
本研究利用了 2019 年土耳其健康调查的数据。采用患者健康问卷抑郁量表(PHQ-8)评估调查中的抑郁症状。根据 PHQ-8 诊断算法的分析,我们从 15 岁及以上的 17084 人中选择了 6.4%有抑郁症状的人。然后,我们随机选择了 1101 名没有抑郁症状的人,共计 2202 人作为研究样本。我们使用多变量逻辑回归分析评估与抑郁症状相关的因素。
抑郁症状的发病风险随年龄增长而增加。女性更有可能报告抑郁症状。教育、身体活动和婚姻状况与报告抑郁症状呈负相关。此外,社会支持是报告抑郁症状的保护因素。慢性疾病的存在与抑郁症状呈正相关。
结果表明,点患病率和年患病率都很高。这些发现为进一步研究探索与土耳其更高抑郁症状流行率相关的因素提供了依据。我们的研究结果可以作为监测该国抑郁状况的参考,帮助规划卫生资源,并确定高风险人群。