Evidence map›Paper›PMID 41255372›Full record

ArticleJournal of migration and health2025

Prevalence and factors associated with psychosocial distress and trauma among Rohingya refugees living in Cox's Bazar and Bhasan Char in Bangladesh.

Nuruzzaman Khan, Md Badsha Alam, Gemma Tarpey-Brown, M Mofizul Islam, Karen Block

Abstract read
In one paragraph

Article in Journal of migration and health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Nuruzzaman KhanNossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Australia.
Md Badsha AlamDepartment of Population Science, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh.
Gemma Tarpey-BrownNossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Australia.
M Mofizul IslamDepartment of Public Health, School of Psychology and Public Health, La Trobe University, Australia.
Karen BlockNossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study assessed and compared psychosocial distress among Rohingya refugees in Bhasan Char and Cox's Bazar. Methods: We conducted a secondary analysis of cross-sectional survey microdata collected by UNHCR in 2023 and 2024, comprising 9087 individuals, including 8274 from the Cox's Bazar refugee camps and 813 from the Bhasan Char refugee camps. The outcome variable examined was psychosocial distress and/or trauma (yes/no), while the primary explanatory variable was the individual's location (Cox's Bazar or Bhasan Char). Multivariable logistic regressions were conducted to examine the association between the outcome variable and explanatory variables, adjusted for potential confounders. Findings: Psychosocial distress and/or trauma were significantly higher in Bhasan Char (60.8 %) than in Cox's Bazar (38.4 %). Refugees in Bhasan Char had nearly three times higher odds of distress (aOR: 2.86, 95 % CI: 2.44-3.34, Conclusion: Psychosocial distress is significantly higher among Rohingya refugees in Bhasan Char than in Cox's Bazar, highlighting the need for targeted mental health support in isolated settings.

Indexed as

BangladeshPsychosocial distressRelocation to Bhasan CharRohingya refugeeTrauma

Identifiers

PMID41255372
PMCPMC12621445

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.