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Problematic Internet Use Associated with Symptomatic Dry Eye Disease in Medical Students from Peru

Overview
Journal Clin Ophthalmol
Publisher Dove Medical Press
Specialty Ophthalmology
Date 2021 Nov 8
PMID 34744432
Citations 8
Authors
Affiliations
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Abstract

Purpose: Dry eye is a multifactorial ocular surface disease (DED) characterized by a loss of tear film homeostasis, which is widely associated with alterations in mental health. Problematic internet use (PIU) is defined as the feeling of concern about using this tool irresistibly, for longer periods than usual, accompanied by anguish that results from not doing so without reaching mania or hypomania behaviors. Both PIU and DED present a theoretical link; however, there are no published studies that report its relationship with problematic internet use. Therefore, this study aims to determine the association between PIU and symptomatic DED in Peruvian medical students.

Patients And Methods: Analytical cross-sectional study that included human medical students from Peru. For the measurement of main variables, the Ocular Surface Disease Index (OSDI) and the Internet Addiction Test (IAT) were used. To study their relationship, the Poisson regression analysis was used, we consider a p-value <0.05 as significant.

Results: Data from 844 medical students were analyzed, 35.7% male and 64.3% female, with an average age of 21.8 ± 3.3 years. Likewise, the prevalence of symptomatic DED was 70.9%, and the internet's controlled use was 85.3%. In the analysis adjusted for symptomatic DED, the men showed significant differences in the controlled use of the internet (p <0.003), of which those who had PIU, 50% had severe symptomatic DED, as well as 80% of those addicted to the internet. The adjusted model showed that the PIU increases the prevalence of symptomatic DED in men (PR = 1.17, 95% CI: 1.06-1.29); however, in women, no association was found between both variables.

Conclusion: PIU and symptomatic DED showed a significant association in male medical students from Peru.

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Li Y, Tang Y, Huang S, Tan L, Huang Q, Chen X JMIR Serious Games. 2023; 11:e40130.

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