Prevalence of dermatological manifestations due to face mask use and its associated factors during COVID-19 among the general population of Bangladesh: A nationwide cross-sectional survey

Author:

Roy Simanta,Iktidar Mohammad AzmainORCID,Chowdhury Sreshtha,Islam A. M. Khairul,Deb Auditia,Chowdhury Shresta,Rahman Shahidur,Medha Madhuritu Bhadra,Gupta Antara Das,Tasnim Afia,Ara RifatORCID,Hawlader Mohammad Delwer Hossain

Abstract

Following the worldwide COVID-19 pandemic, individuals have begun to take preventive measures to avoid exposure. Among the precautionary measures, facemask was mostly emphasized. This study aimed to determine the prevalence of dermatological symptoms linked with face mask usage and explore other associated factors. This cross-sectional survey was conducted throughout all eight divisions of Bangladesh. 1297 people were approached using a fixed-step procedure on a random route sample where 803 fulfilled the inclusion criteria. The overall prevalence of dermatological manifestation in this study was 40.85%. The common dermatological manifestations due to facemasks use were acne (26%), allergy symptoms (24%), traumatic symptoms (24%), and other symptoms (26%). Two important frequently reported risk factors were previous history of skin diseases and obesity. Females were more likely to have acne (CI: 1.199, 3.098; p = .007) and allergy issues (CI: 1.042, 2.359; p = .031). N95 and KN95 masks were more likely to produce allergic symptoms, while surgical mask users were more likely to develop acne. Acne was prevalent more than twice (CI: 1.42, 4.26; p = 0.001) in persons with a COVID-19 infection history. Further exploration is required to find out the reason. Surgical mask users reported more complaints than other types of masks, and prolonged use caused more skin symptoms. Modifications in the pattern of facemask usage and planning for work recesses might also be advised to provide for a pause from uninterrupted facemask use.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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