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Association of screen time, quality of sleep and dry eye in college-going women of Northern India
- Source :
- Indian Journal of Ophthalmology, Vol 70, Iss 1, Pp 51-58 (2022)
- Publication Year :
- 2022
- Publisher :
- Medknow, 2022.
-
Abstract
- Purpose: To evaluate the association of daily screen time and quality of sleep with the prevalence of dry eye among college-going women. Methods: This study was a cross-sectional, comparative questionnaire-based study of 547 college-going women in northern India. A 10-item Mini Sleep Questionnaire was used to check the quality of sleep, and the Standard Patient Evaluation of Eye Dryness (SPEED) scale was used to examine the prevalence of dry eye among college-going women. Results: Multinomial logistic regression showed a significant association between dry eye with daily screen time spent (P < 0.05) and the quality of sleep (P < 0.05) among college-going girls. Using Latent Class Analysis, two latent classes were selected based on the Bayesian Information Criteria. It was found that the majority population falls in class two and was having Severe Sleep-Wake difficulty. It was seen that the participants in class two belonged to the age bracket of 18–21 years, were from stream Humanities, education of father and mother equal to graduation, father working only, belonging to the nuclear family, having one sibling, hailing from the urban locality, spending more than 6 h daily on-screen, a majority of them using mobile phones, not using eye lubricants, and reported an increase in screen time during COVID-19. Conclusion: Dry eye and sleep quality are essential global health issues, and coupled with increased screen time, may pose a challenge in the present era. Preventive strategies need to be incorporated in school and college curriculums to promote physical, social, and psychological well-being and quality of life.
- Subjects :
- Adult
Adolescent
SARS-CoV-2
mini sleep questionnaire
COVID-19
India
Bayes Theorem
RE1-994
Screen Time
digital eye strain
Young Adult
Ophthalmology
Cross-Sectional Studies
Sleep Quality
Surveys and Questionnaires
latent class analysis
Quality of Life
Humans
computer vision syndrome
Dry Eye Syndromes
Female
speed questionnaire
Sleep
Subjects
Details
- ISSN :
- 03014738
- Volume :
- 70
- Database :
- OpenAIRE
- Journal :
- Indian Journal of Ophthalmology
- Accession number :
- edsair.doi.dedup.....77e359e91a524e24da07718b0b3ce809
- Full Text :
- https://doi.org/10.4103/ijo.ijo_1691_21