Exploring computer vision syndrome among primary school students in Dhaka, Bangladesh: a cross-sectional study
- PMID: 40764080
- PMCID: PMC12336490
- DOI: 10.1136/bmjopen-2024-098366
Exploring computer vision syndrome among primary school students in Dhaka, Bangladesh: a cross-sectional study
Abstract
Background: The 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.
Methods: Primary 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 χ2 tests, Fisher's exact tests and logistic regression, to identify significant predictors of CVS (p<0.05).
Results: Findings 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.
Conclusions: The 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.
Keywords: Child; Cross-Sectional Studies; Health; Internet; PUBLIC HEALTH.
© Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group.
Conflict of interest statement
Competing interests: None declared.
Figures



Similar articles
-
The prevalence of computer vision syndrome and associated factors among university students in oman: a cross-sectional study.BMC Public Health. 2025 Aug 6;25(1):2668. doi: 10.1186/s12889-025-23823-9. BMC Public Health. 2025. PMID: 40770326 Free PMC article.
-
A New Measure of Quantified Social Health Is Associated With Levels of Discomfort, Capability, and Mental and General Health Among Patients Seeking Musculoskeletal Specialty Care.Clin Orthop Relat Res. 2025 Apr 1;483(4):647-663. doi: 10.1097/CORR.0000000000003394. Epub 2025 Feb 5. Clin Orthop Relat Res. 2025. PMID: 39915110
-
Learning together for mental health: feasibility of measures to assess a whole-school mental health and wellbeing intervention in secondary schools.Public Health Res (Southampt). 2025 Jun 25:1-18. doi: 10.3310/GFDT2323. Online ahead of print. Public Health Res (Southampt). 2025. PMID: 40580102
-
Optical correction of refractive error for preventing and treating eye symptoms in computer users.Cochrane Database Syst Rev. 2018 Apr 10;4(4):CD009877. doi: 10.1002/14651858.CD009877.pub2. Cochrane Database Syst Rev. 2018. PMID: 29633784 Free PMC article.
-
Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19.Cochrane Database Syst Rev. 2022 May 20;5(5):CD013665. doi: 10.1002/14651858.CD013665.pub3. Cochrane Database Syst Rev. 2022. PMID: 35593186 Free PMC article.
References
MeSH terms
LinkOut - more resources
Full Text Sources
Medical