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Prevalence of visual impairment among school children in three primary schools of Sekela Woreda, Amhara regional state, north-west Ethiopia.


ABSTRACT: Background:Although there are limited studies, recent data are lacking to determine the prevalence of eye problems in Ethiopia accurately and there is no scientific evidence of such study in Sekela Woreda. The purpose of this study was to determine the prevalence of visual impairment among school children in Sekela Woreda, Ethiopia. Methods:The study design was a community-based analytical cross-sectional with a multi-stage cluster random sampling technique from September to November 2016.Visual acuity was tested using Snellen's "E" chart while color vision was tested using Ishihara chart. The data were analyzed using SPSS version 20 software, and binary logistic regression was used to identify factors associated with visual impairment. Results:A total of 875 participants, 466 (53.3%) males and 409 (46.7%) females, with an age range of 8-18?years were screened for visual acuity and color vision deficiency. The prevalence of visual impairment (visual acuity???6/12) in "either eye" was 70 (8.0%). Among these, 37 (52.9%) were males and 33 (41.1%) were females. The prevalence of low vision (visual acuity ?6/36 ) and blindness (visual acuity?

SUBMITTER: Zelalem M 

PROVIDER: S-EPMC6537079 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Prevalence of visual impairment among school children in three primary schools of Sekela Woreda, Amhara regional state, north-west Ethiopia.

Zelalem Mengistu M   Abebe Yekoye Y   Adamu Yilikal Y   Getinet Tewodros T  

SAGE open medicine 20190510


<h4>Background</h4>Although there are limited studies, recent data are lacking to determine the prevalence of eye problems in Ethiopia accurately and there is no scientific evidence of such study in Sekela Woreda. The purpose of this study was to determine the prevalence of visual impairment among school children in Sekela Woreda, Ethiopia.<h4>Methods</h4>The study design was a community-based analytical cross-sectional with a multi-stage cluster random sampling technique from September to Novem  ...[more]

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