Evidence map›Paper›PMID 40510529›Full record

ArticleHealth science reports2025

Prevalence and Pattern of Self-Harm Among University Students in Dhaka: A Cross-Sectional Study.

Abdullah Muhammad Fariduzzaman, Zunayed Al Azdi, Sayedul Ashraf Kushal, Yahia Md Amin, Krishna Roy, Jhowhar Datta, Erina Tabassum, Jhunu Shamsun Nahar

Abstract read
In one paragraph

Article in Health science reports, 2025. 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
–field-weighted citation impact
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

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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.

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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

8 authors.

Abdullah Muhammad FariduzzamanDepartment of Psychiatry Chandpur Medical College Chandpur Bangladesh.ORCID https://orcid.org/0009-0008-1889-2744
Zunayed Al AzdiLifeSpring Consultancy Limited, West Panthapath Dhaka Bangladesh.
Sayedul Ashraf KushalLifeSpring Consultancy Limited, West Panthapath Dhaka Bangladesh.
Yahia Md AminLifeSpring Consultancy Limited, West Panthapath Dhaka Bangladesh.
Krishna RoyDepartment of Psychiatry Rangpur Medical College Rangpur Bangladesh.
Jhowhar DattaDepartment of Psychiatry Cumilla Medical College Hospital Cumilla Bangladesh.
Erina TabassumDepartment of Gynecology Sir Salimullah Medical College and Hospital Dhaka Bangladesh.
Jhunu Shamsun NaharDepartment of Psychiatry Bangabandhu Sheikh Mujib Medical University Dhaka Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Self-harm remains a significant public health issue worldwide, with university students being particularly affected. This study examines its prevalence and associated factors among university students in Dhaka, Bangladesh, while considering broader global, regional, and local trends. Methods: This study utilized a cross-sectional design, surveying 200 students from the University of Dhaka and the Bangladesh University of Business and Technology. Data were gathered through in-person interviews and analyzed using SPSS version 26. Results: The study found that self-harm was prevalent at 17%, with a striking gender difference-females exhibited a four times higher occurrence than males. Bivariate analysis indicated no significant variations across institutions, academic disciplines, habitat, or socioeconomic status. However, logistic regression revealed key associations: females were more prone to self-harm, while middle and high socioeconomic status served as protective factors. Conclusion: This study highlights the critical need for customized mental health programs targeting university students in Dhaka. The identified prevalence and influencing factors provide a foundation for future research and support the development of evidence-based strategies to reduce self-harm and promote overall mental well-being on campus.

Indexed as

Bangladeshcross‐sectional studyprevalenceself‐harmuniversity students

Identifiers

PMID40510529
PMCPMC12158661

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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.