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Background: Although studies have shown that wearing masks can affect the skin microbiome, more detailed and comprehensive research on wearing masks needs to be further explored.
Objective: This study aimed to characterize the influence of mask wearing on the diversity and structural characteristics of the facial skin microbial community of medical staff during the COVID-19 pandemic by means of metagenomic sequencing (mNGS).
Methods: A total of 40 samples were taken by swabbing the cheek in the 2 × 2 cm area before and after wearing the masks. DNA was extracted for metagenomic sequencing.
Results: A statistically significant decrease was found in the α diversity between BN and AN groups and between B2 h and A2 h groups. BN and AN mean groups before and after 8 h of wearing the medical protective mask (N95), including 10 volunteers, respectively. B2 h and A2 h mean groups before and after 8 h of wearing masks, including 10 volunteers changing mask every 2 h, respectively. The β diversity was found to be statistically reduced between BS and AS groups ( = 0.025), BN and AN groups ( = 0.009), and B2 h and A2 h group ( = 0.042). The fungal beta diversity was significantly decreased in every group before and after wearing masks. The main bacteria on the face before and after wearing masks were (68.02 and 71.73%). Among the fungi, predominated the facial skin surface before and after wearing masks (35.81 and 39.63%, respectively).
Conclusion: Wearing different types of masks and changing masks according to different frequency will have different effects on the facial skin's microbiota.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640980 | PMC |
http://dx.doi.org/10.3389/fmicb.2023.1274050 | DOI Listing |
J Relig Health
September 2025
Center for Climate Action and Social Transformations (4CAST) Institute of Psychology, SWPS University, Warsaw, Poland.
The present study examined responses to COVID-19 at the beginning of the pandemic, April 2020, among a representative sample of 880 Poles. Participants described their religious beliefs, their emotional reactions to the pandemic, the changes they had made in their behavior since the onset of the pandemic, and their political orientation (left-right). Roman Catholics felt more threatened by the pandemic than non-believers, and Catholics reacted more strongly to the pandemic than non-believers in terms of feeling scared, paralyzed by fear, panicked, fearful, sad, woebegone, and lost, whereas there were no such differences on other emotional reactions.
View Article and Find Full Text PDFBMC Public Health
September 2025
Turpanjian College of Health Sciences, American University of Armenia, 40 Marshal Baghramyan Ave., Yerevan, 0019, Armenia.
Health behavior theories have proven effective in understanding individuals' COVID-19-related protective behaviors. This study aimed to identify predictors of mask-wearing behavior during the COVID-19 pandemic in Armenia using the constructs of the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB). We conducted a telephone survey in 2021 in a nationwide sample of adult Armenian population selected via stratified two stage random sampling.
View Article and Find Full Text PDFSci Rep
September 2025
Computer Engineering Department, University of Qom, Qom, Iran.
Image-based virtual try-on aims to generate realistic images of individuals wearing target garments by synthesizing input clothing and person images. Traditional methods often follow separate stages, including garment warping, segmentation map generation, and final image synthesis. However, the lack of interaction between these stages frequently causes misalignments and visual artifacts, particularly in scenarios involving occlusions or complex poses.
View Article and Find Full Text PDFSci Rep
September 2025
Department of Research and Medical Innovation, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, 10300, Thailand.
Long-term exposure to particulate matter (PM2.5) primarily affects the respiratory and cardiovascular systems, resulting in millions of premature deaths per year. However, the influence of PM2.
View Article and Find Full Text PDFBMC Psychiatry
August 2025
Department of psychiatry, College Health Science, Mekelle University, Mekelle, Ethiopia.
Background: Schizophrenia is one of the most disruptive of neuropsychiatric disorders, affecting around 1% of the world's population. Antipsychotic medications have been the backbone of schizophrenia treatment for the past 50 years. Extrapyramidal side effects of antipsychotic medication are a major problem which is associated with various factors.
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