Evidence map›Paper›PMID 38433999›Full record

ArticleF1000Research2022

Behavioral and psychosocial predictors of depression in Bangladeshi medical students: a cross-sectional study.

Md Rizwanul Karim, Helal Uddin Ahmed, Shahnaz Akhter

Open access · goldAbstract read
In one paragraph

Article in F1000Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Md Rizwanul KarimDepartment of Community Medicine, Rajshahi Medical College (RMC), Rajshahi, 6000, Bangladesh.ORCID https://orcid.org/0000-0003-2922-9290
Helal Uddin AhmedDepartment of Child Adolescent & Family Psychiatry, National Institute of Mental Health (NIMH), Shyamoli, Dhaka, 1207, Bangladesh.
Shahnaz AkhterDepartment of Gynae and obstetrics, Combined Military Hospital, Jalalabad, Sylhet Cantonment, Sylhet, 3107, Bangladesh.
Rajshahi Medical College · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression, 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.

methodsThis 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.

resultsAmong 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.

conclusionsA 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.

Indexed as

anxietyDepressionFacebook addictionPerceived stresssleep quality

Identifiers

PMID38433999
PMCPMC10904939
OpenAlexW4283818714

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.