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Path analysis of factors affecting depression in medical students

Bibliographic Data

ID21375694
AuthorsParisasadat Bahroodi (0000-0003-3133-7055, Qazvin School of Nursing and Midwifery Qazvin University of Medical Science Qazvin Iran), Reza Zeighami (0000-0001-8993-1300, Nursing and Midwifery Faculty Qazvin University of Medical Sciences Qazvin Iran, corresponding author), Ali Sheidaei (0000-0002-0480-5768, Department of Epidemiology and Biostatistics, School of Public Health Tehran University of Medical Sciences (TUMS) Tehran Iran)
Year2023
Volume60
Issue4
Pages1249-1261
Publication date2023-04-01
Open AccessYes
TypeARTICLE
VenuePsychology in the Schools (JOURNAL)
Journal identifiersISSN: 0033-3085 • E-ISSN: 1520-6807
PublisherWiley (PUBLISHER • GB)
DOI10.1002/pits.22830
OpenAlexW4309492139
LanguageEN
Citations received1
References cited23

Depression is more prevalent among medical students. Its level can be changed by different factors. The present study was designed and implemented in order to determine the path analysis of factors affecting depression in students of Qazvin University of Medical Sciences. This descriptive‐analytical study was conducted on 291 randomly selected students of Qazvin University of Medical Sciences in 2018. Data were collected using demographic characteristics questionnaires, Beck Depression Inventory and Gadzla Academic Stress Questionnaire. The data were analysed using one‐way ANOVA and F test, independent t‐test, and Pearson correlation coefficient in SPSS software version 22, and significance level 0.05. According to the path analysis final model, there was a significant relationship between age and hope for continuing education with academic stress, and there was no significant relationship between satisfaction and academic stress. There was a significant relationship between age, hope for continuing education, academic satisfaction and stress with depression (p < 0.001). According to the obtained results, measures should be taken in order to reduce individual and environmental stresses and factors effective in depression. Detection and follow‐up in disease cases, especially in the younger generation, is important in preventing debilitative effects of the disease, and its consequences should be prevented by quick and timely detection.

Analysis of variance · Beck Depression Inventory · Depression (economics) · Descriptive statistics · Path analysis (statistics) · Pearson product-moment correlation coefficient · Psychiatry · Statistics · Stress (linguistics) · Test (biology) · Clinical Psychology · Health and Well-being Studies · Health, psychology, and well-being · Healthcare professionals’ stress and burnout · Internal Medicine · Medicine · Psychology

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Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

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