{"title":"Study of Face Mask-associated Dry Eye among Medical Students.","authors":"Priyanka Gupta, Aditi Bansal, Anupriya Aggarwal, Ritesh Singla","doi":"10.4103/ijabmr.ijabmr_366_23","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to evaluate face mask-associated factors causing dry eye among medical students.</p><p><strong>Methodology: </strong>This was a cross-sectional study conducted on undergraduate medical and dental students, of all phases, while they were attending offline classes and were required to wear face masks in accordance with the government regulations. Sociodemographic data, ocular and medical history, face mask-wearing practices, screen usage, and quantification of symptoms using the modified Ocular Surface Disease Index (OSDI) questionnaire were collected. Objective tests were conducted in students having dry eye. The association of quantitative variables was done using ANOVA, Mann-Whitney, and Kruskal-Wallis test, whereas the Chi-square test was done for qualitative variables. Multivariate logistic regression was used to identify the risk factors for varying severity of dry eye.</p><p><strong>Results: </strong>The mean age of the 410 students was 21 ± 1.6 years. According to the OSDI, 39.51% (162/410) of students had dry eyes, 23.41% (96/410) had mild dry eye, 8.78% (36/410) had moderate dry eye, and 7.32% (30/410) had severe dry eye. Face mask-associated factors which were significantly linked to dry eye were N95 masks, loose-fit masks, and 6-8 h of continuous mask use. The Schirmer's test and tear film break-up time were performed on 29 and 20 students, respectively, mean values being 19.25 ± 5.29 mm and 10.15 ± 1.41 s for nonsevere and 6.53 ± 1.55 mm and 5.3 ± 0.98 s for severe dry eye, respectively.</p><p><strong>Conclusion: </strong>It is important to educate medical students and create awareness regarding \"face mask-appropriate behavior\" to reduce the chances of dry eye secondary to face masks use.</p>","PeriodicalId":13727,"journal":{"name":"International Journal of Applied and Basic Medical Research","volume":"13 4","pages":"240-245"},"PeriodicalIF":0.8000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10789469/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied and Basic Medical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/ijabmr.ijabmr_366_23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/12/8 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: The purpose of this study was to evaluate face mask-associated factors causing dry eye among medical students.
Methodology: This was a cross-sectional study conducted on undergraduate medical and dental students, of all phases, while they were attending offline classes and were required to wear face masks in accordance with the government regulations. Sociodemographic data, ocular and medical history, face mask-wearing practices, screen usage, and quantification of symptoms using the modified Ocular Surface Disease Index (OSDI) questionnaire were collected. Objective tests were conducted in students having dry eye. The association of quantitative variables was done using ANOVA, Mann-Whitney, and Kruskal-Wallis test, whereas the Chi-square test was done for qualitative variables. Multivariate logistic regression was used to identify the risk factors for varying severity of dry eye.
Results: The mean age of the 410 students was 21 ± 1.6 years. According to the OSDI, 39.51% (162/410) of students had dry eyes, 23.41% (96/410) had mild dry eye, 8.78% (36/410) had moderate dry eye, and 7.32% (30/410) had severe dry eye. Face mask-associated factors which were significantly linked to dry eye were N95 masks, loose-fit masks, and 6-8 h of continuous mask use. The Schirmer's test and tear film break-up time were performed on 29 and 20 students, respectively, mean values being 19.25 ± 5.29 mm and 10.15 ± 1.41 s for nonsevere and 6.53 ± 1.55 mm and 5.3 ± 0.98 s for severe dry eye, respectively.
Conclusion: It is important to educate medical students and create awareness regarding "face mask-appropriate behavior" to reduce the chances of dry eye secondary to face masks use.