Eyeing computer vision syndrome: Awareness, knowledge, and its impact on sleep quality among medical students

Ashwini Patil; Bhavya; Suprakash Chaudhury; Smiti Srivastava

doi:10.4103/ipj.ipj_93_18

Eyeing computer vision syndrome: Awareness, knowledge, and its impact on sleep quality among medical students

Ind Psychiatry J. 2019 Jan-Jun;28(1):68-74. doi: 10.4103/ipj.ipj_93_18. Epub 2019 Dec 11.

Authors

Ashwini Patil¹, Bhavya¹, Suprakash Chaudhury², Smiti Srivastava³

Affiliations

¹ Department of Physiology, Dr. D.Y. Patil Medical College, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India.
² Department of Psychiatry, Dr. D.Y. Patil Medical College, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India.
³ Consultant Psychotherapist, Pune, Maharashtra, India.

Abstract

Background: Computer vision syndrome (CVS) encompasses a constellation of ocular and extraocular symptoms in computer users who either habitually or compulsively use computers for long periods of time. Electronic devices such as computers, smart phones, and tablets emit blue light (400-490 nm) from their light-emitting diodes and produce electromagnetic fields, both of which interfere with the circadian rhythm.

Aim: This study aims to assess the awareness, knowledge, and impact on sleep quality of CVS among medical students.

Materials and methods: This study included 500 medical students. All participants anonymously filled up a pro forma including sociodemographic details and three questionnaires that (a) tested for awareness and knowledge about CVS, (b) tested for CVS, and (c) the Pittsburgh sleep quality index (PSQI), respectively. Data from 463 complete questionnaires were analyzed.

Results: The mean (±standard deviation) age of the 463 individuals was 19.55 (±1.04) years. The prevalence of CVS was 77.5%. The prevalence was higher in boys (80.23%) compared to girls (75.87%), but the difference was not statistically significant. Only 34.1% of the medical students were aware of CVS. Good knowledge regarding various aspects of CVS was observed in 22.46% individuals, while 53.99% and 23.56% had average and poor knowledge, respectively. Poor sleep quality was present in 75.49% of individuals with CVS compared to 50.96% of students without CVS; the difference was statistically significant (odd's ratio [95% confidence interval]: 0.338 [0.214-0.531]). All the components of PSQI score, except components 1 and 6, had statistically significantly (P < 0.05) higher values in individuals with CVS as compared to individuals without CVS.

Conclusions: There is high prevalence but low level of awareness and knowledge about CVS among medical students. CVS is significantly associated with poor sleep quality in medical students.

Keywords: Circadian rhythm; computer vision syndrome; quality of sleep.