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Behavioral and psychosocial predictors of depression in Bangladeshi medical students: a cross-sectional study.
Karim, Md Rizwanul; Ahmed, Helal Uddin; Akhter, Shahnaz.
Afiliación
  • Karim MR; Department of Community Medicine, Rajshahi Medical College (RMC), Rajshahi, 6000, Bangladesh.
  • Ahmed HU; Department of Child Adolescent & Family Psychiatry, National Institute of Mental Health (NIMH), Shyamoli, Dhaka, 1207, Bangladesh.
  • Akhter S; Department of Gynae and obstetrics, Combined Military Hospital, Jalalabad, Sylhet Cantonment, Sylhet, 3107, Bangladesh.
F1000Res ; 11: 745, 2022.
Article en En | MEDLINE | ID: mdl-38433999
ABSTRACT

BACKGROUND:

Depression, stress, and anxiety were found in a large number of medical undergraduate students, indicating a neglected aspect of their psychology that required immediate attention. The goal of this study was to find out the prevalence of depression among medical students, as well as potential psychosocial and behavioral predictors for depression.

METHODS:

This cross-sectional study was conducted from July to November 2021 among 840 randomly selected medical students from four medical colleges using stratified random sampling. Data were collected using a semi-structured, self-administered questionnaire and were analyzed through the SPSS v.23 software. Multiple regression was performed to assess the effect of several behavioral and psychosocial factors on depression.

RESULTS:

Among the 840 study participants, 55.7% (n= 468) were female and 44.3% (n= 372) were male. According to the data, the prevalence of depression, anxiety, perceived stress among medical students was found to be 28.8%, 65% and 85% respectively. A strong link was found between depression and anxiety, stress, poor sleep quality, poor academic performance, and a negative social and romantic relationship status.

CONCLUSIONS:

A significant number of medical students are depressed. In order to prevent and treat depression, medical students should be screened for depression and its associated factors.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: F1000Res Año: 2022 Tipo del documento: Article País de afiliación: Bangladesh

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: F1000Res Año: 2022 Tipo del documento: Article País de afiliación: Bangladesh