Evidence map›Paper›PMID 42432800›Full record

ArticleBMC psychology2026

The association of student activism, misinformation and disinformation with mental health: insights from university students in Bangladesh.

Tasnova Taz Prapti, Saquiba Yesmine, Muztahid Khan, Jakir Hossain Bhuiyan Masud, Ruksana Sharmin Swarna, Md Rohan Nadvi

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Article in BMC psychology, 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

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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

6 authors.

Tasnova Taz PraptiDepartment of Pharmacy, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.ORCID http://orcid.org/0009-0000-3242-8819
Saquiba YesmineDepartment of Pharmacy, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh. s.yesmine@juniv.edu.ORCID https://orcid.org/0000-0003-0668-9841
Muztahid KhanDepartment of Pharmacy, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.ORCID http://orcid.org/0009-0003-0063-314X
Jakir Hossain Bhuiyan MasudHealth Informatics, Public Health Informatics Foundation, Dhaka, Bangladesh.ORCID http://orcid.org/0000-0002-4542-3862
Ruksana Sharmin SwarnaNorth South University, Dhaka, 1229, Bangladesh.ORCID http://orcid.org/0009-0009-4732-1841
Md Rohan NadviDepartment of Pharmacy, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.ORCID http://orcid.org/0009-0009-9674-9940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe July-August 2024 student protest in Bangladesh was associated with a rise in misinformation and disinformation, threatening the mental well-being of students. This study investigated the association of student activism, exposure to misinformation and disinformation with mental health outcomes among the university students of Bangladesh during the July-August 2024 student protest.

methodsThe cross-sectional online survey was conducted from September to October 2024, among Bangladeshi university students aged 18-30 using a non-probability convenience sampling strategy (N = 565). A self-administered Google Form was distributed via online platforms. Anxiety and depression were assessed using standardized GAD-7 and PHQ-9 tools. Univariate, bivariate, and multivariate analyses were conducted in Stata version 14.2.

resultsParticipants were evenly distributed across age groups (18-30 years), with most coming from rural areas (68.5%). Among them, 38.05% participated in the protests occasionally, while 29.56% did so frequently, mostly motivated by personal beliefs (92.39%). Over one-third of respondents (38.05%) encountered misinformation, yet 85.39% felt moderately confident in recognizing it. The main contributor to this misinformation was self-belief bias (50.97%). The majority of the students reported severe anxiety and depression. Female participants had 1.67 times higher odds of elevated depression compared to males (95% CI: 1.22 to 2.29, p < 0.001). Distress related to the activism was highly associated with the outcomes (p < 0.001).

conclusionThe findings highlight the psychological vulnerability of university students and its significant connection to activism and exposure to misinformation and disinformation. It is essential to provide targeted mental health support and media information literacy, particularly for protesting students as their anxiety and depression may be prolonged affecting their quality of life.

Indexed as

AnxietyCommunicationDepressionDisinformationMental HealthStudentsAdolescentAdultBangladeshCross-Sectional StudiesFemaleHumansMaleUniversitiesYoung AdultAnxietyDepressionDisinformationGeneralized Anxiety Disorder-7 (GAD-7)Mental HealthMisinformationPatient Health Questionnaire-9 (PHQ-9)Student Activism

Identifiers

PMID42432800
PMCPMC13637388

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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.