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Community and Public Health Nursing

Volume  7, Issue 3, September-December 2022, Pages 115-119
 

Original Article

A Descriptive Study to Assess the Knowledge on Computer Vision Syndrome and Each Associate Risk Factor Among School Going Children

R Sindhu Priya 1 , S Lidiya 2 , M Maheswari 3

1 Clinical Instructor, 2 ,3 B.Sc Nursing Final Year Students, Department of Community Health Nursing, Saveetha College of Nursing, SIMATS, Thandalam, Chennai, Tamil Nadu 602105, India.

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DOI: http://dx.doi.org/10.21088/cphn.2455.8621.7322.4

Abstract

“Computer visional so known syndrome”as digital eye strain, describes a group of eye and vision related problems that result from prolonged computer use in higher secondary school at Porur. The present study was aim to assess the knowledge on computer vision syndrome and each associate risk factors among school going children. A quantitative approach with descriptive research design was adopted for the present study. This study has sample size of 100 school going children of 12-17 years old and simple random sampling technique was used. A self structured questionnaire method was used as a tool to assess the level of knowledge on computer vision syndrome and each associated factors of computers among school going children. The study findings revealed that out of 100 samples 6.2(6.2%) of children have inadequate knowledge, 31.3(31.3%) of children have moderate knowledge and 62.5(62.5%) of children have adequate. Hence the findings of present study concluded, this study incontestable that the level of knowledge on computer vision syndrome was found to be Porur, Chennai. Monthly wage, daily exposure time, sort of work and information were the foremost determinant factors for computer vision syndrome thus optimizing the exposure time and up the awareness of users. By faculty going students and management support are vital to eye drawback. Within the future, it's counseled to work out the additive impact of exploitation computers on CVS on or off operating time.

Keywords: Computer vision syndrome; School going children; Assess; Knowledge.


Corresponding Author : S. Lidhiya