Archive \ Volume.14 2023 Issue 3

Digital Eye Strain: Knowledge, Attitude and Practice Among University Students

, , ,

Abstract

The purpose of this study was to assess the knowledge, attitude, and practice towards digital eye strain (DES) among Northern Border University (NBU) students in Arar city. A total of 389 students from all nine NBU colleges willingly participated in this population-based cross-sectional study. The majority of the participants (65.6%) were in the age group 18-22 and females (76.3%), while 67.6% of the participants belonged to health-related colleges. Around 60% of students were familiar with the terms like DES and computer vision syndrome. More than fifty people (55.5%) had sufficient knowledge about DES. The most commonly used digital devices were IPads (56.6%). A significant difference in the knowledge in relation to the ages, faculty type, and academic year existed. A positive attitude regarding adjustment of brightness, appropriate seating position and viewing distance was demonstrated by 74%, 73.8%, and 81% of participants respectively. Regarding the duration, 61.2% of participants above six hours of total digital exposure per day. The symptoms associated with digital devices were fatigue of the eyes, foreign body sensation, and also non-ocular symptoms like shoulder or neck pain.  The commonest source of participants’ information about digital eye strain was an awareness campaign. 

Sufficient knowledge about DES was demonstrated above half of the studied population. The current study highlights the need to reduce the digital exposure hours among university students and also to strengthen awareness about DES and its methods of prevention with a target to reach out to the community at large.


Downloads: 365
Views: 1884

How to cite:
Vancouver
Parrey MUR, Alshammari AO, Bedaiwi AA, Salama B. Digital Eye Strain: Knowledge, Attitude and Practice Among University Students. Arch Pharm Pract. 2023;14(3):33-7. https://doi.org/10.51847/jwUgTazd60
APA
Parrey, M. U. R., Alshammari, A. O., Bedaiwi, A. A., & Salama, B. (2023). Digital Eye Strain: Knowledge, Attitude and Practice Among University Students. Archives of Pharmacy Practice, 14(3), 33-37. https://doi.org/10.51847/jwUgTazd60

Download Citation
References

1.        Kaur K, Gurnani B, Nayak S, Deori N, Kaur S, Jethani J, et al. Digital Eye Strain- A Comprehensive Review. Ophthalmol Ther. 2022;11(5):1655-80. doi:10.1007/s40123-022-00540-9

2.        Usgaonkar U, Shet Parkar SR, Shetty A. Impact of the use of digital devices on eyes during the lockdown period of COVID-19 pandemic. Indian J Ophthalmol. 2021;69(7):1901-6. doi:10.4103/ijo.IJO350020

3.        Basnet A, Pathak SB, Marasini A, Pandit R, Pradhan A. Digital Eye Strain among Adults Presenting to Tertiary Care Hospital in the Era of COVID-19 Pandemic: A Descriptive Cross-sectional Study. J Nepal Med Assoc. 2022;60(245):22-5. doi:10.31729/jnma.7092

4.        Ichhpujani P, Singh RB, Foulsham W, Thakur S, Lamba AS. Visual implications of digital device usage in school children: a cross-sectional study. BMC Ophthalmol. 2019;19(1):76. doi:10.1186/s12886-019-1082-5

5.        Gammoh Y. Digital Eye Strain and Its Risk Factors Among a University Student Population in Jordan: A Cross-Sectional Study. Cureus. 2021;13(2):e13575. doi:10.7759/cureus.13575

6.        Lemma MG, Beyene KG, Tiruneh MA. Computer Vision Syndrome and Associated Factors Among Secretaries Working in Ministry Offices in Addis Ababa, Ethiopia. Clin Optom (Auckl). 2020;12:213-22. doi:10.2147/OPTO.S284934

7.        Bhattacharya S, Saleem SM, Singh A. Digital eye strain in the era of COVID-19 pandemic: An emerging public health threat. Indian J Ophthalmol. 2020;68(8):1709-10. doi:10.4103/ijo.IJO178220

8.        Ganne P, Najeeb S, Chaitanya G, Sharma A, Krishnappa NC. Digital Eye Strain Epidemic amid COVID-19 Pandemic - A Cross-sectional Survey. Ophthalmic Epidemiol. 2021;28(4):285-92. doi:10.1080/09286586.2020.1862243

9.        Turkistani AN, Al-Romaih A, Alrayes MM, Al Ojan A, Al-Issawi W. Computer vision syndrome among Saudi population: An evaluation of prevalence and risk factors. J Family Med Prim Care. 2021;10(6):2313-8. doi:10.4103/jfmpc.jfmpc246620

10.      Altwaijri W, Almunyif RM, Alotaibi GH, Alowais LA, Wasim S, Alyabsi M. Medical students' awareness of Personal Digital Assistant Devices' impact on their health. J Family Med Prim Care. 2021;10(6):2336-41. doi:10.4103/jfmpc.jfmpc203820

11.      Almousa AN, Aldofyan MZ, Kokandi BA, Alsubki HE, Alqahtani RS, Gikandi P, et al. The impact of the COVID-19 pandemic on the prevalence of computer vision syndrome among medical students in Riyadh, Saudi Arabia [published online ahead of print, 2022 Sep 24]. Int Ophthalmol. 2022;1-9. doi:10.1007/s10792-022-02525-w

12.      Kharel Sitaula R, Khatri A. Knowledge, Attitude and practice of Computer Vision Syndrome among medical students and its impact on ocular morbidity. J Nepal Health Res Counc. 2018;16(3):291-6.

13.      Ranasinghe P, Wathurapatha WS, Perera YS, Lamabadusuriya DA, Kulatunga S, Jayawardana N, et al. Computer vision syndrome among computer office workers in a developing country: an evaluation of prevalence and risk factors. BMC Res Notes. 2016;9:150. doi:10.1186/s13104-016-1962-1

14.      Sawaya RI, El Meski N, Saba JB, Lahoud C, Saab L, Haouili M, et al. Asthenopia Among University Students: The Eye of the Digital Generation. J Family Med Prim Care. 2020;9(8):3921-32. doi:10.4103/jfmpc.jfmpc34020

15.      Logaraj M, Madhupriya V, Hegde S. Computer vision syndrome and associated factors among medical and engineering students in chennai. Ann Med Health Sci Res. 2014;4(2):179-85. doi:10.4103/2141-9248.129028

16.      Iqbal M, Said O, Ibrahim O, Soliman A. Visual Sequelae of Computer Vision Syndrome: A Cross-Sectional Case-Control Study. J Ophthalmol. 2021;2021:6630286. doi:10.1155/2021/6630286


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.