Evidence map›Paper›PMID 42058768›Full record

ArticlePublic health challenges2026

Prevalence and Risk Factors of Computer Vision Syndrome Among Bankers in Bangladesh.

Bodrunnahar Barna, Md Azad Uddin, Marzia Shormin, Md Shihab Mostafa, Abdullah Al Islam

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Article in Public health challenges, 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.

Bodrunnahar BarnaCredit Information Bureau Bangladesh Bank, Head Office Dhaka Bangladesh.ORCID https://orcid.org/0009-0000-1708-0391
Md Azad UddinCredit Information Bureau Bangladesh Bank, Head Office Dhaka Bangladesh.
Marzia ShorminCredit Information Bureau Bangladesh Bank, Head Office Dhaka Bangladesh.
Md Shihab MostafaDepartment of Statistics Shahjalal University of Science and Technology Sylhet Bangladesh.ORCID https://orcid.org/0009-0004-2969-5413
Abdullah Al IslamDepartment of Statistics Shahjalal University of Science and Technology Sylhet Bangladesh.ORCID https://orcid.org/0009-0005-3398-6907

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The increasing reliance on digital devices in modern workplaces has raised significant concerns about computer vision syndrome (CVS), particularly among professionals in screen-intensive environments, like the banking sector. Despite its widespread prevalence, limited research exists on CVS within the Bangladeshi banking sector. This study aims to estimate the prevalence of CVS among bank employees in Bangladesh and to evaluate the key demographic, occupational, and environmental risk factors associated with its occurrence. Methods: A cross-sectional study was conducted using a structured, self-administered questionnaire. The required sample size was calculated a prior based on an expected prevalence of 85.2%, a 5% margin of error, and a 95% confidence level, resulting in a target sample of 201 Bangladeshi bank employees. The presence of CVS was determined using the validated CVS-Q tool. Descriptive statistics were conducted to summarize demographic and socioeconomic characteristics of the study participants. Logistic regression analysis was performed to identify significant predictors of CVS. Results: The prevalence of CVS among participants was 55.2%. The most reported symptoms were headache (79%), burning eyes (63%), and eye pain (52%). Logistic regression analysis revealed that increased daily computer use (odds ratios [OR]: 2.05; 95% CI: 1.07-4.83) and very bright monitor (OR: 113; 95% CI: 1.88-18,710) were significantly associated with higher odds of CVS. Conversely, larger family size (OR: 0.63; 95% CI: 0.39-0.92), higher weekly overtime (OR: 0.77; 95% CI: 0.60-0.91), and number of leave days taken for eye problems (OR: 0.03; 95% CI: 0.00-0.41) were associated with reduced odds of CVS. Conclusion: CVS is a prevalent occupational health concern among Bangladeshi bank employees, driven by modifiable factors such as screen brightness and prolonged computer use. Findings underscore the need for ergonomic interventions, regular eye screening, and educational measures to mitigate CVS and promote workplace well-being.

Indexed as

Bangladeshbank employeescomputer vision syndromelogistic regressionrisk factors

Identifiers

PMID42058768
PMCPMC13123453

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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.