Latent class of depressive symptoms of and its determinants: A cross-sectional study among Iranian University students

Background: 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 uni...

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Main Authors: Forugh Aleebrahim, Zahra Heidari, Shahla Yousefnejad, Gholamreza Kheirabadi, Mohammad Javad Tarrahi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-02-01
Series:Journal of Research in Medical Sciences
Subjects:
Online Access:https://journals.lww.com/10.4103/jrms.jrms_728_22
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author Forugh Aleebrahim
Zahra Heidari
Shahla Yousefnejad
Gholamreza Kheirabadi
Mohammad Javad Tarrahi
author_facet Forugh Aleebrahim
Zahra Heidari
Shahla Yousefnejad
Gholamreza Kheirabadi
Mohammad Javad Tarrahi
author_sort Forugh Aleebrahim
collection DOAJ
description Background: 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. Materials and Methods: 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. Results: 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. Conclusion: 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.
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spelling doaj.art-f24191714a3541388406025d6c3945342024-08-02T14:56:59ZengWolters Kluwer Medknow PublicationsJournal of Research in Medical Sciences1735-19951735-71362024-02-012919910.4103/jrms.jrms_728_22Latent class of depressive symptoms of and its determinants: A cross-sectional study among Iranian University studentsForugh AleebrahimZahra HeidariShahla YousefnejadGholamreza KheirabadiMohammad Javad TarrahiBackground: 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. Materials and Methods: 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. Results: 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. Conclusion: 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.https://journals.lww.com/10.4103/jrms.jrms_728_22depressionlatent class analysisuniversity students
spellingShingle Forugh Aleebrahim
Zahra Heidari
Shahla Yousefnejad
Gholamreza Kheirabadi
Mohammad Javad Tarrahi
Latent class of depressive symptoms of and its determinants: A cross-sectional study among Iranian University students
Journal of Research in Medical Sciences
depression
latent class analysis
university students
title Latent class of depressive symptoms of and its determinants: A cross-sectional study among Iranian University students
title_full Latent class of depressive symptoms of and its determinants: A cross-sectional study among Iranian University students
title_fullStr Latent class of depressive symptoms of and its determinants: A cross-sectional study among Iranian University students
title_full_unstemmed Latent class of depressive symptoms of and its determinants: A cross-sectional study among Iranian University students
title_short Latent class of depressive symptoms of and its determinants: A cross-sectional study among Iranian University students
title_sort latent class of depressive symptoms of and its determinants a cross sectional study among iranian university students
topic depression
latent class analysis
university students
url https://journals.lww.com/10.4103/jrms.jrms_728_22
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