Home > Journals > Community and Public Health Nursing

Community and Public Health Nursing

Submit your article Read this Journals View all journals
Full Text (PDF)
Original Article

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

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

Author Information

Licence:



Community and Public Health Nursing 7(3):p 115-119, September-December 2022. | DOI: http://dx.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 : N/A         Accepted : N/A          Published : N/A

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.

References

No records found.


About this article

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.

Licence:



Received Accepted Published
N/A N/A N/A
DOI: http://dx.doi.org/10.21088/cphn.2455.8621.7322.4

Keywords


Article Level Metrics

Last Updated

Saturday 28 February 2026, 22:30:43 (IST)

4424

Accesses

0
340
00

Citations


NA
NA
NA

Download citation


Article Keywords

Keyword Highlighting

Highlight selected keywords in the article text.


Timeline

Received N/A
Accepted N/A
Published N/A

licence




Access this article

Reprint Order Form
Buy this Article
Institutional Subscriptions

Share