Evidence map›Paper›PMID 42206009›Full record

ArticleFrontiers in psychiatry2026

Revolution's aftermath: population based cross-sectional study to understand the intergeneration mental health and wellbeing following the 2024 student-led uprising.

Juma Rahman, Bapon Fakhruddin, Md Masudul Haque, Rodrigo Ramalho, Jenni Leppanen, Jubayer Mumin, Mohammed Islam Shakhu, Kazi Mizanur Rahman

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Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Juma RahmanThe University of Auckland, Auckland, New Zealand.
Bapon FakhruddinResearch & Evaluation Office (REO), Auckland, New Zealand.
Md Masudul HaqueResearch & Evaluation Office (REO), Auckland, New Zealand.
Rodrigo RamalhoThe University of Auckland, Auckland, New Zealand.
Jenni LeppanenOulun Yliopisto, Oulu, Finland.
Jubayer MuminKarolinska Institutet, Stockholm, Sweden.
Mohammed Islam ShakhuThe University of Auckland, Auckland, New Zealand.
Kazi Mizanur RahmanResearch & Evaluation Office (REO), Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bangladesh was confronted with a nationwide student uprising in July 2024, that exposed both participants and observers to widespread unrest and traumatic events. To better understand the kind of support the population will need, it is important to understand its immediate impact on mental wellbeing. Aim: Aim was to examine the prevalence of trauma symptoms among the Bangladeshi general population, aged 15+, within three-months following revolution. Methods: This cross-sectional survey using the Post Traumatic Stress Disorder (PTSD) Checklist for DSM-5 (PCL-5, five-point Likert scale), was combined with a one-off online workshop to sensitise this population on mental health, trauma, and resilience. Associations between sociodemographic factors and PCL-5 scores were examined with multiple linear regression (ANOVA/ANCOVA). Probable PTSD (PCL-5 ≥ 31) was assessed using log-binomial regression. We estimated Population Attributable Fractions (PAF), Absolute Risk Reduction (ARR) to estimate the proportion of high PTSD attributable to each exposure, and applied min-max normalisation of Likert scales for cross-item comparison. Results: More than half of the surveyed participants (n=207; mean age 27.6 ± 9.7 years; 72% Gen Z) had clinically suggestive PTSD. This was more common among women (53.7%), and respondents from Chattogram (57.4%) and Khulna (66.7%). Adjusted analyses suggested modestly higher prevalence among Millennials (PR 1.23, 95% CI 0.87-1.74). PAF estimates indicated small contributions from age groups (Millennials +6.5%, GenX/Boomers -3.6%), and gender (men -3.1%). Under hypothetical elimination of exposure, absolute PTSD reduction was greatest among Millennials. Symptom clusters varied: women, and older adults showed consistently higher scores, while Gen Z reported more negative thoughts/feelings. Conclusion: The study underscores the potential higher prevalence of probable PTSD following large-scale demonstrations and confrontations, and recommends targeted culturally appropriate mental health interventions. Further research involving a representative sample from the population and longitudinal data is recommended to monitor long-term psychological impacts in Bangladesh.

Indexed as

Bangladeshexposure to violencepost-traumatic stresspsychological traumarevolution

Identifiers

PMID42206009
PMCPMC13201506

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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.