Evidence map›Paper›PMID 40790479›Full record

ArticleBMC public health2025

The unforeseen tide: exploring mental health impacts of the 2024 flash flood in Bangladesh.

Md Mostafizur Rahman, Ifta Alam Shobuj, Samantha Alam, Arfina Monir Sadia, Suya Khanam, Md Tanvir Hossain, Edris Alam

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Mental health impacts of climate-related hazards among farmers: evidence from a community-based study.Journal of occupational medicine and toxicology (London, England) · 2026
    Article
  3. Article
  4. Article
  5. 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

7 authors.

Md Mostafizur RahmanDepartment of Disaster Management & Resilience, Faculty of Arts and Social Sciences, Bangladesh University of Professionals, Dhaka, 1216, Bangladesh. mostafizur@bup.edu.bd.ORCID http://orcid.org/0000-0002-0732-9437
Ifta Alam ShobujDepartment of Disaster Management & Resilience, Faculty of Arts and Social Sciences, Bangladesh University of Professionals, Dhaka, 1216, Bangladesh.
Samantha AlamDepartment of Disaster Management & Resilience, Faculty of Arts and Social Sciences, Bangladesh University of Professionals, Dhaka, 1216, Bangladesh.
Arfina Monir SadiaDepartment of Disaster Management & Resilience, Faculty of Arts and Social Sciences, Bangladesh University of Professionals, Dhaka, 1216, Bangladesh.
Suya KhanamDepartment of Disaster Management & Resilience, Faculty of Arts and Social Sciences, Bangladesh University of Professionals, Dhaka, 1216, Bangladesh.
Md Tanvir HossainSociology Discipline, Social Science School, Khulna University, Khulna, 9208, Bangladesh.
Edris AlamDepartment of Geography and Environmental Studies, University of Chittagong, Chittagong, 4331, Bangladesh. ealam@ra.ac.ae.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our study examines the mental health impacts of the flood, focusing on depression, anxiety, and stress, utilizing the Depression, Anxiety, and Stress Scale-21 (DASS-21). A total of 451 adult residents were surveyed through face-to-face interviews, selected via convenience and snowball sampling to ethically and effectively reach displaced, hard-to-access individuals affected by the 2024 flash flood in Cumilla District, Bangladesh. The survey collected data on sociodemographic factors, flood-related experiences, and the prevalence of mental health issues. Statistical analyses, including stepwise backward and multiple linear regression, identified key associations between sociodemographic variables (e.g., gender, age, education, chronic illness) and mental health outcomes. The results revealed a high prevalence of mental health disorders: 59.87% of participants experienced extremely severe anxiety, 37.69% experienced extremely severe depression, and 25.72% reported severe stress. Key predictors of mental health challenges included gender, age, education, and chronic illness, with women, older adults, and those with lower educational levels or chronic illnesses being particularly vulnerable. The study highlights the urgent need for targeted mental health interventions and enhanced disaster preparedness in flood-prone regions. Strengthening social networks, improving disaster management education, and addressing the vulnerabilities of specific groups are essential steps in building resilience against future natural disasters.

Indexed as

DepressionDisastersFloodsMental HealthStress, PsychologicalAdolescentAdultAgedAnxietyBangladeshFemaleHumansInterviews as TopicMaleMiddle AgedYoung AdultBangladeshDASS-21Disaster resilienceFlash floodMental health

Identifiers

PMID40790479
PMCPMC12337405

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.