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Prevalence and Correlates of Likely Major Depressive Disorder among Medical Students in Alberta, Canada

Background: Medical students are exposed to multiple factors during their academic and clinical studies that contribute to depression. Aims: This study aims to examine the prevalence and correlates of likely major depressive disorder (MDD) among medical students. Methods: This study utilized a descr...

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Autores principales: Dhanoa, Sumeet, Oluwasina, Folajinmi, Shalaby, Reham, Kim, Esther, Agyapong, Belinda, Hrabok, Marianne, Eboreime, Ejemai, Kravtsenyuk, Maryana, Yang, Alicia, Nwachukwu, Izu, Moreau, Chantal, Abba-Aji, Adam, Li, Daniel, Agyapong, Vincent I. O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517002/
https://www.ncbi.nlm.nih.gov/pubmed/36141768
http://dx.doi.org/10.3390/ijerph191811496
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author Dhanoa, Sumeet
Oluwasina, Folajinmi
Shalaby, Reham
Kim, Esther
Agyapong, Belinda
Hrabok, Marianne
Eboreime, Ejemai
Kravtsenyuk, Maryana
Yang, Alicia
Nwachukwu, Izu
Moreau, Chantal
Abba-Aji, Adam
Li, Daniel
Agyapong, Vincent I. O.
author_facet Dhanoa, Sumeet
Oluwasina, Folajinmi
Shalaby, Reham
Kim, Esther
Agyapong, Belinda
Hrabok, Marianne
Eboreime, Ejemai
Kravtsenyuk, Maryana
Yang, Alicia
Nwachukwu, Izu
Moreau, Chantal
Abba-Aji, Adam
Li, Daniel
Agyapong, Vincent I. O.
author_sort Dhanoa, Sumeet
collection PubMed
description Background: Medical students are exposed to multiple factors during their academic and clinical studies that contribute to depression. Aims: This study aims to examine the prevalence and correlates of likely major depressive disorder (MDD) among medical students. Methods: This study utilized a descriptive cross-sectional design. Data were collected through a self-administered online survey, which included questions on sociodemographic characteristics and likely MDD using the PHQ-9. Data were analyzed using a descriptive, Chi-square test and logistic regression model. Results: There were 246 medical students who participated in the survey. The majority were females, 155 (65.1%); Caucasian, 158 (66.4%); and in a relationship, 168 (70.5%). The prevalence of likely MDD was 29.1%. Respondents who did not feel supported and respondents who were neutral about their social support, friends, and family, were 11 and 4 times more likely to experience MDD than those who felt well supported (OR = 11.14; 95% CI: 1.14–108.80) and (OR = 4.65; 95% CI: 1.10–19.56), respectively. Conclusions: This study suggests a high prevalence of likely MDD among medical students who do not feel they have sufficient social support from friends and family. Social adjustments, including talking to friends and family and participating in leisure activities, could reduce the level of depression among medical students.
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spelling pubmed-95170022022-09-29 Prevalence and Correlates of Likely Major Depressive Disorder among Medical Students in Alberta, Canada Dhanoa, Sumeet Oluwasina, Folajinmi Shalaby, Reham Kim, Esther Agyapong, Belinda Hrabok, Marianne Eboreime, Ejemai Kravtsenyuk, Maryana Yang, Alicia Nwachukwu, Izu Moreau, Chantal Abba-Aji, Adam Li, Daniel Agyapong, Vincent I. O. Int J Environ Res Public Health Article Background: Medical students are exposed to multiple factors during their academic and clinical studies that contribute to depression. Aims: This study aims to examine the prevalence and correlates of likely major depressive disorder (MDD) among medical students. Methods: This study utilized a descriptive cross-sectional design. Data were collected through a self-administered online survey, which included questions on sociodemographic characteristics and likely MDD using the PHQ-9. Data were analyzed using a descriptive, Chi-square test and logistic regression model. Results: There were 246 medical students who participated in the survey. The majority were females, 155 (65.1%); Caucasian, 158 (66.4%); and in a relationship, 168 (70.5%). The prevalence of likely MDD was 29.1%. Respondents who did not feel supported and respondents who were neutral about their social support, friends, and family, were 11 and 4 times more likely to experience MDD than those who felt well supported (OR = 11.14; 95% CI: 1.14–108.80) and (OR = 4.65; 95% CI: 1.10–19.56), respectively. Conclusions: This study suggests a high prevalence of likely MDD among medical students who do not feel they have sufficient social support from friends and family. Social adjustments, including talking to friends and family and participating in leisure activities, could reduce the level of depression among medical students. MDPI 2022-09-13 /pmc/articles/PMC9517002/ /pubmed/36141768 http://dx.doi.org/10.3390/ijerph191811496 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dhanoa, Sumeet
Oluwasina, Folajinmi
Shalaby, Reham
Kim, Esther
Agyapong, Belinda
Hrabok, Marianne
Eboreime, Ejemai
Kravtsenyuk, Maryana
Yang, Alicia
Nwachukwu, Izu
Moreau, Chantal
Abba-Aji, Adam
Li, Daniel
Agyapong, Vincent I. O.
Prevalence and Correlates of Likely Major Depressive Disorder among Medical Students in Alberta, Canada
title Prevalence and Correlates of Likely Major Depressive Disorder among Medical Students in Alberta, Canada
title_full Prevalence and Correlates of Likely Major Depressive Disorder among Medical Students in Alberta, Canada
title_fullStr Prevalence and Correlates of Likely Major Depressive Disorder among Medical Students in Alberta, Canada
title_full_unstemmed Prevalence and Correlates of Likely Major Depressive Disorder among Medical Students in Alberta, Canada
title_short Prevalence and Correlates of Likely Major Depressive Disorder among Medical Students in Alberta, Canada
title_sort prevalence and correlates of likely major depressive disorder among medical students in alberta, canada
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517002/
https://www.ncbi.nlm.nih.gov/pubmed/36141768
http://dx.doi.org/10.3390/ijerph191811496
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