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

S. Lidhiya null, R Sindhu Priya 1 null, S Lidiya 2 null, M Maheswari 3 null

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Community and Public Health Nursing 7(3):p 115-119, September-December 2022. | DOI: https://doi.org/10.21088/cphn.2455.8621.7322.4

How Cite This Article:

How to cite this article: R Sindhu Priya, S Lidiya, M Maheswari/A Descriptive Study to Assess the Knowledge on Computer Vision Syndrome and Each Associate Risk Factor Among School Going Children/Community and Public Health Nursing. 2022;7(3):115–119.

Timeline

Received : September 01, 2022         Accepted : September 25, 2022          Published : November 11, 2022

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.

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Data Sharing Statement

There are no additional data available. All raw data and code are available upon request.

Funding

This research received no funding.

Author Contributions

All authors contributed significantly to the work and approve its publication.

Ethics Declaration

Provide information related to the Ethics Committee approval with approval number OR write This article does not involve any human or animal subjects, and therefore does not require ethics approval.

Acknowledgements

We would like to express our gratitude to the patients, their families, and all those who have contributed to this study.

Conflicts of Interest

The authors report no conflicts of interest in this work.

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Cite this article

How to cite this article: R Sindhu Priya, S Lidiya, M Maheswari/A Descriptive Study to Assess the Knowledge on Computer Vision Syndrome and Each Associate Risk Factor Among School Going Children/Community and Public Health Nursing. 2022;7(3):115–119.

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Received Accepted Published
September 01, 2022 September 25, 2022 November 11, 2022
DOI: https://doi.org/10.21088/cphn.2455.8621.7322.4

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Timeline

Received September 01, 2022
Accepted September 25, 2022
Published November 11, 2022

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