Evidence map›Paper›PMID 41760072›Full record

ArticleMedicine2026

Gender-based differences of post COVID-19 suicidal ideation among the university students of southern part of Bangladesh: A cross-sectional study.

Sabiha Shirin Sara, Chuton Deb Nath, Md Asikur Rahman, Riaz Rahman, Ashis Talukder

Abstract read
In one paragraph

Article in Medicine, 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

5 authors.

Sabiha Shirin SaraStatistics Discipline, Science Engineering and Technology School, Khulna University, Khulna, Bangladesh.
Chuton Deb NathMass Communication and Journalism Discipline, Khulna University, Khulna, Bangladesh.
Md Asikur RahmanStatistics Discipline, Science Engineering and Technology School, Khulna University, Khulna, Bangladesh.
Riaz RahmanStatistics Discipline, Science Engineering and Technology School, Khulna University, Khulna, Bangladesh.
Ashis TalukderStatistics Discipline, Science Engineering and Technology School, Khulna University, Khulna, Bangladesh.ORCID 0000-0002-2205-0696

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suicidal ideation (SI) represents a manifestation of self-destructive thoughts and behaviors with significant public health implications. This study aimed to determine the prevalence of SI and identify associated risk factors among male and female university students in southern Bangladesh. Data were collected through simple random sampling between April and June 2022 from university students in southern Bangladesh, yielding a final sample of 584 participants (51.5% male, 48.5% female). SI was assessed as the primary outcome variable. Statistical analyses included frequency distributions, chi-square tests, and binary logistic regression to determine prevalence rates and identify associated risk factors. The prevalence of SI was substantially higher among female participants (31.4%) compared to their male counterparts (9.0%). Among female participants, significant risk factors included sleeping <7 hours per night (odds ratio (OR) = 7.670, P = .020), having a positive relationship with a partner (OR = 0.336, P = .018), experiencing mild (OR = 0.073, P < .01) or moderate depression (OR = 0.259, P = .014), and reporting no anxiety (OR = 0.031, P = .002). For male participants, significant associations were found with having no anxiety (OR = 0.014, P = .004) and experiencing moderate anxiety (OR = 0.043, P = .009). Female university students demonstrated a significantly higher risk of SI, underscoring the critical importance of gender-sensitive mental health interventions. Findings suggest that female students should be encouraged to maintain regular sleep patterns and cultivate healthy interpersonal relationships. Mental health screening and support services should be prioritized for both genders, with particular attention to depression and anxiety management.

Indexed as

COVID-19StudentsSuicidal IdeationAdolescentAdultAnxietyBangladeshCross-Sectional StudiesDepressionFemaleHumansMalePrevalenceRisk FactorsSARS-CoV-2Sex FactorsCOVID-19gender differencesmental healthsleep durationsuicidal ideationuniversity students

Identifiers

PMID41760072
PMCPMC12956239

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.