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Perceived-stigma level of COVID-19 patients in China in the early stage of the epidemic: A cross-sectional research

OBJECTIVE: To investigate the perceived-stigma level of COVID-19 patients in the early stage of the epidemic and analysed related factors and correlations that affected the stigma levels. METHODS: The COVID-19 patients were selected using the convenience sampling method. Perceived-stigma level was e...

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Autores principales: Lin, Bihua, Zhong, Guiqin, Liang, Zeyan, Huang, Jianying, Wang, Xiaofang, Lin, Yanjuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486130/
https://www.ncbi.nlm.nih.gov/pubmed/34597354
http://dx.doi.org/10.1371/journal.pone.0258042
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author Lin, Bihua
Zhong, Guiqin
Liang, Zeyan
Huang, Jianying
Wang, Xiaofang
Lin, Yanjuan
author_facet Lin, Bihua
Zhong, Guiqin
Liang, Zeyan
Huang, Jianying
Wang, Xiaofang
Lin, Yanjuan
author_sort Lin, Bihua
collection PubMed
description OBJECTIVE: To investigate the perceived-stigma level of COVID-19 patients in the early stage of the epidemic and analysed related factors and correlations that affected the stigma levels. METHODS: The COVID-19 patients were selected using the convenience sampling method. Perceived-stigma level was evaluated using the Social Impact Scale (SIS). Frequency was used to describe the general information and disease investigation status of COVID-19 patients; mean and standard deviation were used for describing stigma levels, Wilcoxon signed-ranks test (nonparametric test) was applied for pairwise comparison. Kruskal-Wallis non-parametric test for grade data, and Dwass-Steel-Critchlow-Fligner test for multiple comparative analysis. Multiple linear regression analysis was performed, and statistically significant indicators in single-factor analysis were included to investigate the independent factors of stigma. The p<0.05 was considered statistically significant. RESULTS: SIS score of the 122 COVID-19 patients averaged 57.37±9.99 points. There were statistically significant differences in perceived-stigma levels among patients of different ages (p = 0.008), occupation (p <0.001), marital status (p = 0.009), and disease severity (p = 0.020). Multivariate logistic regression analysis revealed that age was the main influencing factor of stigma (p<0.05). CONCLUSIONS: The overall perceived-stigma level of COVID-19 patients in the early stage of the epidemic was moderate. Younger, unmarried, and severely ill patients had a higher level of perceived-stigma, with age being the main factor. More attention should be given to the young COVID-19 patients.
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spelling pubmed-84861302021-10-02 Perceived-stigma level of COVID-19 patients in China in the early stage of the epidemic: A cross-sectional research Lin, Bihua Zhong, Guiqin Liang, Zeyan Huang, Jianying Wang, Xiaofang Lin, Yanjuan PLoS One Research Article OBJECTIVE: To investigate the perceived-stigma level of COVID-19 patients in the early stage of the epidemic and analysed related factors and correlations that affected the stigma levels. METHODS: The COVID-19 patients were selected using the convenience sampling method. Perceived-stigma level was evaluated using the Social Impact Scale (SIS). Frequency was used to describe the general information and disease investigation status of COVID-19 patients; mean and standard deviation were used for describing stigma levels, Wilcoxon signed-ranks test (nonparametric test) was applied for pairwise comparison. Kruskal-Wallis non-parametric test for grade data, and Dwass-Steel-Critchlow-Fligner test for multiple comparative analysis. Multiple linear regression analysis was performed, and statistically significant indicators in single-factor analysis were included to investigate the independent factors of stigma. The p<0.05 was considered statistically significant. RESULTS: SIS score of the 122 COVID-19 patients averaged 57.37±9.99 points. There were statistically significant differences in perceived-stigma levels among patients of different ages (p = 0.008), occupation (p <0.001), marital status (p = 0.009), and disease severity (p = 0.020). Multivariate logistic regression analysis revealed that age was the main influencing factor of stigma (p<0.05). CONCLUSIONS: The overall perceived-stigma level of COVID-19 patients in the early stage of the epidemic was moderate. Younger, unmarried, and severely ill patients had a higher level of perceived-stigma, with age being the main factor. More attention should be given to the young COVID-19 patients. Public Library of Science 2021-10-01 /pmc/articles/PMC8486130/ /pubmed/34597354 http://dx.doi.org/10.1371/journal.pone.0258042 Text en © 2021 Lin et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lin, Bihua
Zhong, Guiqin
Liang, Zeyan
Huang, Jianying
Wang, Xiaofang
Lin, Yanjuan
Perceived-stigma level of COVID-19 patients in China in the early stage of the epidemic: A cross-sectional research
title Perceived-stigma level of COVID-19 patients in China in the early stage of the epidemic: A cross-sectional research
title_full Perceived-stigma level of COVID-19 patients in China in the early stage of the epidemic: A cross-sectional research
title_fullStr Perceived-stigma level of COVID-19 patients in China in the early stage of the epidemic: A cross-sectional research
title_full_unstemmed Perceived-stigma level of COVID-19 patients in China in the early stage of the epidemic: A cross-sectional research
title_short Perceived-stigma level of COVID-19 patients in China in the early stage of the epidemic: A cross-sectional research
title_sort perceived-stigma level of covid-19 patients in china in the early stage of the epidemic: a cross-sectional research
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486130/
https://www.ncbi.nlm.nih.gov/pubmed/34597354
http://dx.doi.org/10.1371/journal.pone.0258042
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