The aim of the study was to evaluate the frequency and severity of dry eye in mask wearer and to give public awareness about dry eye disease and its serious consequences. This study provides a way of direction to diagnose dry eye and treat it timely before any serious complication. The awareness about preventive measures and treatment was given to participants. This was Descriptive Cross-sectional study design. The study was conducted in The University of Faisalabad. The duration of study was from December 2021 to February 2022. 100 participants were taken for this study. Non- Probability Convenient sampling technique was used for sample collection. We collected the data for our research through validated OSDI questionnaire. The analysis was presented in the form of Frequency Distribution. Out of 100 students 35 were male and 64 were females. Mean ± SD of age of patients was 20.62 ± 1.523 year. The severity level of Mask-Induced dry eye was Mild (49), Moderate (26%) and Severe (12%). Majority of participants wear surgical Mask (83%) only few wears fabric Mask (12%) and KN95 (5%). About 79% were non-spectacle users and 21% were spectacle users. The frequency of duration of Mask wear was 2-4 hours (19%), 4-6 hours (26%), 6-8 hours (32%) and 8-10 hours (23%). The present study was to determine the Frequency and Severity of Mask-Induced Dry eye in University Students. We found that majority of participants have mild and moderate type of dry eye after wearing mask.
Published in | Clinical Medicine Research (Volume 11, Issue 5) |
DOI | 10.11648/j.cmr.20221105.11 |
Page(s) | 120-125 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Dry-Eye Syndrome, Mask Wearing, Dry Eyes, COVID-19
[1] | The definition and classification of dry eye disease: Report of the Definition and Classification Subcommittee of the International Dry Eye WorkShop (2007) Ocul Surf. 2007; 5: 75–92. |
[2] | Gayton JL. Etiology, prevalence, and treatment of dry eye disease. Clin Ophthalmol. 2009; 3: 405–12. |
[3] | Denoyer A, Rabut G, Baudouin C. Tear film aberration dynamics and vision-related quality of life in patients with dry eye disease. Ophthalmology. 2012; 119: 1811–8. |
[4] | The decreased blink rate experienced during visual function tasks (for example extended computer use, reading, watching TV, working on microscope) can exacerbate dry eye and its signs and symptoms (like blurred vision, ocular surface staining, short tear film break-up time [TBUT]), which in turn, can limit patients’ visual functioning capabilities. |
[5] | Findlay Q, Reid K. Dry eye disease: when to treat and when to refer. Aust Prescr. 2018; 41: 160–3. |
[6] | Stapleton F, Alves M, Bunya VY, Jalbert I, Lekhanont K, Malet F, et al. TFOS DEWS II Epidemiology Report. Ocul Surf. 2017; 15 (3): 334–65. |
[7] | Sun C, Wang Y, Liu G, Liu Z. Role of the eye in transmitting human coronavirus: what we know and what we do not know. Front Public Health. 2020; 8: 155. |
[8] | Mastropasqua L, Lanzini M, Brescia L, D’Aloisio R, Nubile M, Ciancaglini M, et al. Face mask-related ocular surface modifications during COVID-19 pandemic: A clinical, in vivo confocal microscopy, and immune-cytology study. 2021; 10 (3): 22. |
[9] | Marinova E, Dabov D, Zdravkov Y. Ophthalmic complaints in face-mask wearing: prevalence, treatment, and prevention with a potential protective effect against SARS-CoV-2. Biotechnol Biotechnol Equip 2020; 34 (1): 1323–35. |
[10] | Azzam SH, Nama A, Badarni H, Asael H, Dahoud WA, Mimouni M, et al. Assessment of dry eye disease in N95 versus surgical face mask wearers during COVID-19. Indian J. 2022; 70 (3): 995–9. |
[11] | Pandey SK, Sharma V. Mask-associated dry eye disease and dry eye due to prolonged screen time: Are we heading towards a new dry eye epidemic during the COVID-19 era? Indian J Ophthalmol. 2021; 69 (2): 448–9. |
[12] | Abdulmannan DM, Naser AY, Mahmood AS, Alyoussef Alkrad J, Sweiss K, Alrawashdeh HM, Kautsar AP. Visual health and prevalence of dry eye syndrome among university students in Iraq and Jordan. BMC ophthalmology. 2022 Dec; 22 (1): 1-6. |
[13] | Tangmonkongvoragul C, Chokesuwattanaskul S, Khankaeo C, Punyasevee R, Nakkara L, Moolsan S, Unruan O. Prevalence of symptomatic dry eye disease with associated risk factors among medical students at Chiang Mai University due to increased screen time and stress during COVID-19 pandemic. PloS one. 2022 Mar 23; 17 (3): e0265733. |
[14] | Starr CE, Dana R, Pflugfelder SC, Holland EJ, Zhang S, Owen D, Brazzell K. Dry eye disease flares: A rapid evidence assessment. The Ocular Surface. 2021 Oct 1; 22: 51-9. |
[15] | O’Neil EC, Henderson M, Massaro-Giordano M, Bunya VY. Advances in dry eye disease treatment. Current opinion in ophthalmology. 2019 May; 30 (3): 166. |
[16] | Hantera MM. Trends in dry eye disease management worldwide. Clinical Ophthalmology (Auckland, NZ). 2021; 15: 165. |
[17] | Verjee MA, Brissette AR, Starr CE. Dry eye disease: early recognition with guidance on management and treatment for primary care family physicians. Ophthalmology and Therapy. 2020 Dec; 9 (4): 877-88. |
[18] | Barabino S. A narrative review of current understanding and classification of dry eye disease with new insights on the impact of dry eye during the COVID-19 Pandemic. Ophthalmology and therapy. 2021 Sep; 10 (3): 495-507. |
[19] | Craig JP, Muntz A, Wang MT, Luensmann D, Tan J, Huarte ST, Xue AL, Jones L, Willcox MD, Wolffsohn JS. Developing evidence-based guidance for the treatment of dry eye disease with artificial tear supplements: A six-month multicentre, double-masked randomised controlled trial. The ocular surface. 2021 Apr 1; 20: 62-9. |
[20] | Al-Mohtaseb Z, Schachter S, Lee BS, Garlich J, Trattler W. The relationship between dry eye disease and digital screen use. Clinical Ophthalmology (Auckland, NZ). 2021; 15: 3811. |
[21] | Lin YH, Wu HC, Hsieh PC, Tzeng IS, Wu SY, Kuo CY. An association rule analysis of combined acupoints for the treatment of patients with dry eye disease. Complementary Medicine Research. 2021; 28 (4): 317-24. |
[22] | Barabino S, Aragona P, di Zazzo A, Rolando M, with the contribution of selected ocular surface experts from the Società Italiana di Dacriologia e Superficie Oculare. Updated definition and classification of dry eye disease: Renewed proposals using the nominal group and Delphi techniques. European Journal of Ophthalmology. 2021 Jan; 31 (1): 42-8. |
[23] | Tong L, Lim L, Tan D, Heng WJ, Lim J, Chan C, Arundhati A, Tan A. Assessment and management of dry eye disease and meibomian gland dysfunction: providing a Singapore framework. Asia-pacific Journal of Ophthalmology (Philadelphia, Pa.). 2021 Nov; 10 (6): 530. |
APA Style
Rabia Bushra Ehsan, Fareena Tehreem, Fariah Ata, Namra Kanwal, Maryam Jabbar, et al. (2022). Assessment of Frequency and Severity of Mask-Induced Dry Eye in University Students During COVID-19. Clinical Medicine Research, 11(5), 120-125. https://doi.org/10.11648/j.cmr.20221105.11
ACS Style
Rabia Bushra Ehsan; Fareena Tehreem; Fariah Ata; Namra Kanwal; Maryam Jabbar, et al. Assessment of Frequency and Severity of Mask-Induced Dry Eye in University Students During COVID-19. Clin. Med. Res. 2022, 11(5), 120-125. doi: 10.11648/j.cmr.20221105.11
@article{10.11648/j.cmr.20221105.11, author = {Rabia Bushra Ehsan and Fareena Tehreem and Fariah Ata and Namra Kanwal and Maryam Jabbar and Muhammad Aneeq Alyas}, title = {Assessment of Frequency and Severity of Mask-Induced Dry Eye in University Students During COVID-19}, journal = {Clinical Medicine Research}, volume = {11}, number = {5}, pages = {120-125}, doi = {10.11648/j.cmr.20221105.11}, url = {https://doi.org/10.11648/j.cmr.20221105.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cmr.20221105.11}, abstract = {The aim of the study was to evaluate the frequency and severity of dry eye in mask wearer and to give public awareness about dry eye disease and its serious consequences. This study provides a way of direction to diagnose dry eye and treat it timely before any serious complication. The awareness about preventive measures and treatment was given to participants. This was Descriptive Cross-sectional study design. The study was conducted in The University of Faisalabad. The duration of study was from December 2021 to February 2022. 100 participants were taken for this study. Non- Probability Convenient sampling technique was used for sample collection. We collected the data for our research through validated OSDI questionnaire. The analysis was presented in the form of Frequency Distribution. Out of 100 students 35 were male and 64 were females. Mean ± SD of age of patients was 20.62 ± 1.523 year. The severity level of Mask-Induced dry eye was Mild (49), Moderate (26%) and Severe (12%). Majority of participants wear surgical Mask (83%) only few wears fabric Mask (12%) and KN95 (5%). About 79% were non-spectacle users and 21% were spectacle users. The frequency of duration of Mask wear was 2-4 hours (19%), 4-6 hours (26%), 6-8 hours (32%) and 8-10 hours (23%). The present study was to determine the Frequency and Severity of Mask-Induced Dry eye in University Students. We found that majority of participants have mild and moderate type of dry eye after wearing mask.}, year = {2022} }
TY - JOUR T1 - Assessment of Frequency and Severity of Mask-Induced Dry Eye in University Students During COVID-19 AU - Rabia Bushra Ehsan AU - Fareena Tehreem AU - Fariah Ata AU - Namra Kanwal AU - Maryam Jabbar AU - Muhammad Aneeq Alyas Y1 - 2022/09/05 PY - 2022 N1 - https://doi.org/10.11648/j.cmr.20221105.11 DO - 10.11648/j.cmr.20221105.11 T2 - Clinical Medicine Research JF - Clinical Medicine Research JO - Clinical Medicine Research SP - 120 EP - 125 PB - Science Publishing Group SN - 2326-9057 UR - https://doi.org/10.11648/j.cmr.20221105.11 AB - The aim of the study was to evaluate the frequency and severity of dry eye in mask wearer and to give public awareness about dry eye disease and its serious consequences. This study provides a way of direction to diagnose dry eye and treat it timely before any serious complication. The awareness about preventive measures and treatment was given to participants. This was Descriptive Cross-sectional study design. The study was conducted in The University of Faisalabad. The duration of study was from December 2021 to February 2022. 100 participants were taken for this study. Non- Probability Convenient sampling technique was used for sample collection. We collected the data for our research through validated OSDI questionnaire. The analysis was presented in the form of Frequency Distribution. Out of 100 students 35 were male and 64 were females. Mean ± SD of age of patients was 20.62 ± 1.523 year. The severity level of Mask-Induced dry eye was Mild (49), Moderate (26%) and Severe (12%). Majority of participants wear surgical Mask (83%) only few wears fabric Mask (12%) and KN95 (5%). About 79% were non-spectacle users and 21% were spectacle users. The frequency of duration of Mask wear was 2-4 hours (19%), 4-6 hours (26%), 6-8 hours (32%) and 8-10 hours (23%). The present study was to determine the Frequency and Severity of Mask-Induced Dry eye in University Students. We found that majority of participants have mild and moderate type of dry eye after wearing mask. VL - 11 IS - 5 ER -