Author(s): Amala George, Amala Thomas, Archana S Nair, Blessy Varghese, Josna Joseph, Maria Subash, Rosemary Joseph, Starly SVM, Melvi Thomas

Email(s): Email ID Not Available

DOI: 10.5958/2454-2660.2021.00054.5   

Address: Ms. Amala George1, Ms. Amala Thomas1, Ms. Archana S Nair1, Ms. Blessy Varghese1, Ms. Josna Joseph1, Ms. Maria Subash1, Ms. Rosemary Joseph1, Sr. Starly SVM2, Mrs. Melvi Thomas3
1Third Year B.Sc. Nursing Students, Little Lourdes College of Nursing, Kidangoor, Kerala.
2Professor, Little Lourdes College of Nursing, Kidangoor, Kerala.
3Lecturer, Department of Medical Surgical, Little Lourdes College of Nursing, Kidangoor, Kerala.
*Corresponding Author

Published In:   Volume - 9,      Issue - 2,     Year - 2021


ABSTRACT:
Computer Vision Syndrome, also referred to as digital eye strain, describes a group of eye and vision related problems that result from prolonged computer, tablet, e-reader and cell phone use. Many individuals experience eye discomfort and vision problems when viewing digital screens for extended periods. The level of discomfort appears to increase with the amount of digital screen use. The study aims to assess the level of knowledge regarding computer vision syndrome among engineering students. The present study was done to assess the level of knowledge regarding computer vision syndrome among engineering students and to identify the association with selected socio-demographic variables. The sample consisted of 30 engineering students selected by convenience sampling technique. The design use was descriptive design with quantitative approach. Structured questionnaire on socio-demographic data and computer vision syndrome were used to assess the sample characteristics and level of knowledge regarding computer vision syndrome. The findings of the study were that majority (70%) of students were having average knowledge regarding computer vision syndrome. The study revealed that there was no significant correlation between the knowledge of engineering students regarding computer vision syndrome and the demographic variables. Thus the present study showed that, the knowledge regarding computer vision syndrome is independent of selected demographic variables.


Cite this article:
Amala George, Amala Thomas, Archana S Nair, Blessy Varghese, Josna Joseph, Maria Subash, Rosemary Joseph, Starly SVM, Melvi Thomas. A Study to Assess the Level of Knowledge regarding Computer Vision Syndrome among Engineering Students in A Selected College at Kottayam. Int. J. Nur. Edu. and Research. 2021; 9(2):226-229. doi: 10.5958/2454-2660.2021.00054.5

Cite(Electronic):
Amala George, Amala Thomas, Archana S Nair, Blessy Varghese, Josna Joseph, Maria Subash, Rosemary Joseph, Starly SVM, Melvi Thomas. A Study to Assess the Level of Knowledge regarding Computer Vision Syndrome among Engineering Students in A Selected College at Kottayam. Int. J. Nur. Edu. and Research. 2021; 9(2):226-229. doi: 10.5958/2454-2660.2021.00054.5   Available on: https://ijneronline.com/AbstractView.aspx?PID=2021-9-2-22


REFERENCES:
1.    Banoth Devender, Samyukta Nandari, Kataih Aishwarya. “A cross sectional study to assess the prevalence and associated factors of computer vision syndrome among engineering students of Hyderabad”. 30 November 2018. Available from http//dx.doi.org/10.18203/23946040.ifmph 20185264. Page 308-313.
2.    Gangamma M.P, Rajagopala Manjusha. “A clinical study on computer vision syndrome” and its management with Triphala eye drops and saptamritalauha. Available from PMCID: PMC3215371
3.    Reddy SC, NursalehaMp. Computer vision syndrome: “A study of knowledge and practices in university students”. Nepal. December 2013. Available from 10.31 26/nepjoph. V 512.8707
4.    Katalanda P, Kulatunga S, Pererays, Ranasinghe P. computer vision syndrome Among computer office workers in a developing country: An Evaluation of prevalence and risk factors. 2016 March. Available from pobmed. n/m.nih.gov.
5.    https://www.aoa.org/healthy-eyes/eye-and-vision-conditions/computers-vision- Syndrome?sso=y%20 bibliography.

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