Evidence map›Paper›PMID 41195179›Full record

ArticleFrontiers in medicine2025

Prevalence and associated risk factors of visual impairment in school children: mHealth-based vision screening in government schools of Rawalpindi, Pakistan.

Ayesha Javed, Shamaila Mohsin, Ramsha Habib, Uzma Ahsan Malik, Abdul Momin Rizwan Ahmad

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Article in Frontiers in medicine, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ayesha JavedNational University of Medical Sciences (NUMS), Rawalpindi, Pakistan.
Shamaila MohsinDepartment of Public Health, Armed Forces Postgraduate Medical Institute (AFPGMI), National University of Medical Sciences (NUMS), Rawalpindi, Pakistan.
Ramsha HabibNational University of Medical Sciences (NUMS), Rawalpindi, Pakistan.
Uzma Ahsan MalikDepartment of Pediatric Medicine, Hameed Latif Hospital, Lahore, Pakistan.
Abdul Momin Rizwan AhmadDepartment of Health Sciences, University of York, York, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: School-based vision screening plays a vital role in identifying visual problems at an early stage. There is limited evidence on the frequency of visual impairment and its associated risk factors among school-aged children. Objective: This research aimed to assess the prevalence of visual impairment and its associated risk factors among school children enrolled in Government Schools of Rawalpindi. Methodology: An analytical cross-sectional study was conducted among 320 schoolchildren in the Rawalpindi district of Punjab province from July to December 2024. Presenting visual acuity was assessed using the validated Peek Acuity app on smartphone with the tumbling E optotypes. Visual impairment was defined as presenting visual acuity worse than 6/12, based on failure to correctly identify at least four out of five optotypes at the 6/12 level at a testing distance of 3 m. A validated questionnaire was utilized to assess risk factors associated with visual impairment. The prevalence of visual impairment was presented as frequencies and percentages. Binary logistic regression was performed with visual impairment as the dependent variable, considering age, gender, father's educational status, mother's educational status, household income, maternal illness during pregnancy, parent with visual impairment, sibling with visual impairment, birth weight, gestational age, complications at birth, serious infection during childhood, history of head trauma or injury, duration of television exposure, and duration of mobile/computer exposure as independent variables. Variables with a Results: A total of 320 study participants were included in this study. Visual impairment was identified in 82 children (25.6%), consisting of 35 males (42.68%) and 47 females (57.3%). It was categorized as mild in 30 (36.58%) and moderate in 52 (63.41%) children. In multivariate analysis, parent with visual impairment [4.201 (2.221-7.948)], low birth weight [0.376 (0.189-0.749)], small gestational age [0.231 (0.113-0.475)] and exposure to mobile and computer devices [2.368 (1.040-5.393)] were factors significantly associated with visual impairment. Conclusion: This study identified a high burden of visual impairment among schoolchildren, with a greater proportion observed in females and predominantly presenting with moderate severity.

Indexed as

mHealth-based vision screeningPakistanpreventable blindnessrisk factorsschool age childrenvisual impairment

Identifiers

PMID41195179
PMCPMC12582945

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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.