Gupta Priyanka, Bansal Aditi, Aggarwal Anupriya, Singla Ritesh
Department of Ophthalmology, Adesh Institute of Medical Sciences and Research, Bathinda, Punjab, India.
Int J Appl Basic Med Res. 2023 Oct-Dec;13(4):240-245. doi: 10.4103/ijabmr.ijabmr_366_23. Epub 2023 Dec 8.
The purpose of this study was to evaluate face mask-associated factors causing dry eye among medical students.
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.
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.
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.
本研究旨在评估医学生中导致干眼的口罩相关因素。
这是一项针对各阶段本科医学和牙科学生的横断面研究,他们在参加线下课程时,需按照政府规定佩戴口罩。收集了社会人口统计学数据、眼部和病史、口罩佩戴习惯、屏幕使用情况,以及使用改良的眼表疾病指数(OSDI)问卷对症状进行量化。对患有干眼的学生进行了客观测试。定量变量的关联分析采用方差分析、曼-惠特尼检验和克鲁斯卡尔-沃利斯检验,而定性变量则采用卡方检验。多因素逻辑回归用于确定不同严重程度干眼的危险因素。
410名学生的平均年龄为21±1.6岁。根据OSDI,39.51%(162/410)的学生患有干眼,23.41%(96/410)患有轻度干眼,8.78%(36/410)患有中度干眼,7.32%(30/410)患有重度干眼。与干眼显著相关的口罩相关因素为N95口罩、宽松型口罩以及连续佩戴口罩6 - 8小时。分别对29名和20名学生进行了泪液分泌试验和泪膜破裂时间测试,非重度干眼学生的平均值分别为19.25±5.29毫米和10.15±1.41秒,重度干眼学生的平均值分别为6.53±1.55毫米和5.3±0.98秒。
对医学生进行教育并提高对“合适口罩佩戴行为”的认识,对于减少因使用口罩继发干眼的几率非常重要。