Evidence map›Paper›PMID 40764080›Full record

ArticleBMJ open2025

Exploring computer vision syndrome among primary school students in Dhaka, Bangladesh: a cross-sectional study.

Hasibul Hassain Emon, Jakia Sultana Pingky, Hriday Halder, Santu Karmaker, Musfiqur Rahman, Fahim Muntasir Shishir, Tonima Rahaman Tithi, Suchana Akter, Moinur Rahman, Md Moyazzem Hossain

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Hasibul Hassain EmonDepartment of Statistics and Data Science, Jahangirnagar University, Dhaka, Bangladesh.ORCID http://orcid.org/0009-0000-9815-0741
Jakia Sultana PingkyDepartment of Statistics and Data Science, Jahangirnagar University, Dhaka, Bangladesh.ORCID http://orcid.org/0009-0004-9346-8303
Hriday HalderDepartment of Statistics and Data Science, Jahangirnagar University, Dhaka, Bangladesh.ORCID http://orcid.org/0009-0002-3296-3939
Santu KarmakerDepartment of Statistics and Data Science, Jahangirnagar University, Dhaka, Bangladesh.ORCID http://orcid.org/0009-0003-5787-3291
Musfiqur RahmanJahangirnagar University Research Society, Dhaka, Bangladesh.
Fahim Muntasir ShishirDepartment of Statistics and Data Science, Jahangirnagar University, Dhaka, Bangladesh.ORCID http://orcid.org/0009-0004-4053-3271
Tonima Rahaman TithiJahangirnagar University Research Society, Dhaka, Bangladesh.
Suchana AkterDepartment of Statistics and Data Science, Jahangirnagar University, Dhaka, Bangladesh.
Moinur RahmanDepartment of Statistics and Data Science, Jahangirnagar University, Dhaka, Bangladesh.ORCID http://orcid.org/0009-0000-4164-6279
Md Moyazzem HossainDepartment of Statistics and Data Science, Jahangirnagar University, Dhaka, Bangladesh hossainmm@juniv.edu.ORCID http://orcid.org/0000-0003-3593-6936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of different electronic devices is increasing among students due to rapid advancements in digital technology. The prevalence of computer vision syndrome (CVS) has increased among school children after the COVID-19 pandemic. Different symptoms of CVS, such as eye strain, headache, blurred vision and visual discomfort, have become major public health problems. This study aimed to assess the prevalence of CVS, identify its risk factors, evaluate parental awareness and examine the impact of COVID-19 on screen time among primary school children in Dhaka, Bangladesh.

methodsPrimary data were collected from the parents of 500 primary school students aged 5-14 years using a convenience sampling method through face-to-face interviews. A structured questionnaire was administered to collect demographic information, screen usage patterns, ambient conditions and details regarding the children's academic performance. The Computer Vision Syndrome Questionnaire scale was used to assess the prevalence and severity of CVS. Various statistical analyses were performed, including χ

resultsFindings revealed that 16.4% of children were affected by CVS, with key risk factors including age, school year, maternal education and daily screen time. Children with CVS commonly reported headaches and itchy eyes, which negatively impacted their academic performance. Surprisingly, 67.4% of parents were unaware of CVS, and the odds of developing CVS were 3.74 times higher among children using electronic devices for more than 4 hours daily.

conclusionsThe study explored the low prevalence of CVS among primary school students in Dhaka, Bangladesh. Several symptoms, like headaches and eye discomfort, were identified that impaired their academic performance. Additionally, many parents were largely unaware of CVS. Therefore, it is necessary to take proper strategies to be aware of the consequences and lessen the prevalence of CVS to save our future generation.

Indexed as

AsthenopiaCOVID-19Screen TimeStudentsAdolescentBangladeshChildChild, PreschoolCross-Sectional StudiesFemaleHeadacheHumansMalePrevalenceRisk FactorsSARS-CoV-2ChildCross-Sectional StudiesHealthInternetPUBLIC HEALTH

Identifiers

PMID40764080
PMCPMC12336490

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LicenceCC BY-NC
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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.