Prevalence of computer vision syndrome and associated ocular morbidity in a tertiary care hospital
DOI:
https://doi.org/10.18203/2320-6012.ijrms20231324Keywords:
Computer vision syndrome, SEBR, TBUTAbstract
Background: This study was done to determine the prevalence of computer vision syndrome and associated ocular morbidity in a tertiary care hospital.
Methods: A cross sectional observational study was conducted on 673 patients based on the inclusion criteria. The patients were asked to fulfil the computer vision syndrome survey form 3 and OSDI questionnaire. Spontaneous eye blink rate, Schirmer’s test 1, tear break up time, refraction were performed for these patients. Data was collected and analysed by SPSS software.
Results: The prevalence of computer vision syndrome was 73% with 294 males and 206 females. The mean age of the patients was 30.29 years. Most of the participants were between 21-30 years. The screen time for most of the study participants (59.80%) came out to be >6 hours/day on average. The chief complaint of majority patients was blurred vision and asthenopia whereas the secondary complaint was watering and headache. Maximum patients (38.20%) from our study were students and competitive exam aspirants followed by teachers and software engineers. The screen modality used by 34.20 % patients was mobile phones > laptops. The mean SEBR was 13.50 minutes. The mean OSDI was 17.44. The screen time was significantly correlated to SEBR (p<0.0001). Also the screen time and OSDI correlation came out to be significant (p<0.0001).
Conclusions: The present study revealed a significantly high prevalence of CVS among our patients. The ocular symptoms are predominantly affecting the convergence power of eyes and tear film instability causing blurred vision and dryness.
Metrics
References
Garber A, Klein E, Bruce S, Sankoh S, Mohideen P. Metformin‐glibenclamide versus metformin plus rosiglitazone in patients with type 2 diabetes inadequately controlled on metformin monotherapy. Diabetes, Obes Metab. 2006;8(2):156-63.
Blehm C, Vishnu S, Khattak A, Mitra S, Yee RW. Computer vision syndrome: a review. Surv Ophthalmol. 2005;50(3):253-62.
Talwar R, Kapoor R, Puri K, Bansal K, Singh S. A study of visual and musculoskeletal health disorders among computer professionals in NCR Delhi. Indian J Community Med. 2009;34:326.
Iwakiri K, Mori I, Sotoyama M, Horiguchi K, Ochiai T, Jonai H, et al. Survey on visual and musculoskeletal symptoms in VDT workers. Sangyo Eiseigaku Zasshi. 2004;46:201-12.
Verma S, Midya U, Gupta S, Shukla Y. A cross-sectional study of the prevalence of computer vision syndrome and dry eye in computer operators. TNOA J Ophthal Sci Res. 2021;59(2):160.
Basnet A, Basnet P, Karki P, Shrestha S. Computer vision syndrome prevalence and associated factors among the medical student in Kist Medical College. Nepal Med J. 2018;1(1):29-31.
Sitaula RK, Khatri A. Knowledge, attitudes and practice of computer vision syndrome among medical students and its impact on ocular morbidity. J Nepal Health Res Council. 2018;16(3):291-6.
Shrivastava SR, Bobhate PS. Computer related health problems among software professionals in Mumbai: A cross-sectional study. Int J Health Sci. 2012;1:74-8.
Rosenfield M, Jahan S, Nunez K, Chan K. Cognitive demand, digital screens and blink rate. Computers Hum Behav. 2015;51:403-6.