Aleebrahim Forugh, Heidari Zahra, Yousefnejad Shahla, Kheirabadi Gholamreza, Tarrahi Mohammad Javad
Department of Epidemiology and Biostatistics, School of Health, Isfahan University of Medical Science, Isfahan, Iran.
Student Research Committee, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran.
J Res Med Sci. 2024 Feb 23;29:9. doi: 10.4103/jrms.jrms_728_22. eCollection 2024.
According to the report of the World Health Organization, mental disorders are one of the 10 most important causes of disability in the world. This study was conducted with the aim of determining the number and frequency of latent classes of depression and its determinants in Isfahan university of medical students.
A total of 1408 medical students from Isfahan University of Medical Sciences, Iran, were enrolled in the study in 2017. The symptoms and severity of depression were assessed using the standard Hospital Anxiety and Depression scale questionnaire. Latent class analysis was applied to seven symptoms of depression, all of which had four levels. Latent class subgroups were compared using the Chi-square test and analysis of variance test. The regression model was used to check the relationship between identified classes and related factors. Analyzes were done using SPSS-21 and Mplus7 software.
In this study, three latent classes were identified, that is, the group of healthy people, the group of borderline people, and the group of people suspected of depression. The prevalence of identified latent classes among medical students is 0.52, 0.32, and 0.16%, respectively. The regression results showed that compared to the healthy group, the factors affecting depression in the borderline and suspicious group were increasing age, female gender, interest in the field of study, physical activity, history of depression, and history of anxiety.
The three classes that were identified based on the students' answers to the depression symptoms questions differed only based on severity. The history of depression and anxiety were the strongest predictors of latent classes of depression.
根据世界卫生组织的报告，精神障碍是全球十大最重要的致残原因之一。本研究旨在确定伊朗伊斯法罕医科大学学生中抑郁症潜在类别及其决定因素的数量和频率。
2017年，共有1408名来自伊朗伊斯法罕医科大学的医科学生参与了本研究。使用标准的医院焦虑和抑郁量表问卷评估抑郁症的症状和严重程度。对抑郁症的七种症状进行潜在类别分析，所有症状均有四个等级。使用卡方检验和方差分析检验比较潜在类别亚组。回归模型用于检验已识别类别与相关因素之间的关系。分析使用SPSS - 21和Mplus7软件进行。
在本研究中，识别出三个潜在类别，即健康人群组、临界人群组和疑似抑郁症人群组。医科学生中已识别潜在类别的患病率分别为0.52%、0.32%和0.16%。回归结果表明，与健康组相比，临界组和疑似组中影响抑郁症的因素包括年龄增长、女性性别、对研究领域的兴趣、体育活动、抑郁症病史和焦虑症病史。
根据学生对抑郁症症状问题的回答所识别出的三个类别仅在严重程度上有所不同。抑郁症和焦虑症病史是抑郁症潜在类别的最强预测因素。
