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Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis
BACKGROUND: Perceived stigma has greatly influenced the life quality of the COVID-19 patients who recovered and were discharged (RD hereafter). It is essential to understand COVID-19 stigma of RD and its related risk factors. The current study aims to identify the characteristics of perceived COVID-...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070756/ https://www.ncbi.nlm.nih.gov/pubmed/37026126 http://dx.doi.org/10.3389/fpubh.2023.1111900 |
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author | Wu, Yijin Dai, Zhenwei Xiao, Weijun Wang, Hao Huang, Yiman Si, Mingyu Fu, Jiaqi Chen, Xu Jia, Mengmeng Leng, Zhiwei Cui, Dan Mak, Winnie W. S. Su, Xiaoyou |
author_facet | Wu, Yijin Dai, Zhenwei Xiao, Weijun Wang, Hao Huang, Yiman Si, Mingyu Fu, Jiaqi Chen, Xu Jia, Mengmeng Leng, Zhiwei Cui, Dan Mak, Winnie W. S. Su, Xiaoyou |
author_sort | Wu, Yijin |
collection | PubMed |
description | BACKGROUND: Perceived stigma has greatly influenced the life quality of the COVID-19 patients who recovered and were discharged (RD hereafter). It is essential to understand COVID-19 stigma of RD and its related risk factors. The current study aims to identify the characteristics of perceived COVID-19 stigma in RD using latent profile analysis (LPA), to explore its psycho-social influencing factors, and to determine the cut-off point of the stigma scale using receiver operating characteristic (ROC) analysis. METHODS: A cross-sectional study was conducted among COVID-19 RD in 13 communities in Jianghan District, Wuhan City, Hubei Province, China from June 10 to July 25, 2021, enrolling total 1,297 participants. Data were collected on demographic characteristics, COVID-19 perceived stigma, post-traumatic stress disorder (PTSD), anxiety, depression, sleep disorder, fatigue, resilience, social support, and peace of mind. LPA was performed to identify different profiles of perceived COVID-19 stigma level. Univariate analysis and multinominal logistic regression analysis were conducted to explore the influencing factors in different profiles. ROC analyses was carried out to identify the cut-off value of perceived stigma. RESULTS: Among the participants, three profiles of perceived stigma were identified: “low perceived COVID-19 stigma” (12.8%), “moderate perceived COVID-19 stigma” (51.1%), and “severe perceived COVID-19 stigma” (36.1%). Multinominal logistic regression analysis revealed that older age, living with other people, anxiety, and sleep disorder were positively associated with moderate perceived COVID-19 stigma, while higher educational level was negatively associated with moderate perceived COVID-19 stigma. Female, older age, living with other people, anxiety, and sleep disorder were positively associated with severe perceived COVID-19 stigma, while higher educational level, social support, and peace of mind were negatively associated with severe perceived COVID-19 stigma. ROC curve of the Short Version of COVID-19 Stigma Scale (CSS-S) for screening perceived COVID-19 stigma showed that the optimal cut-off value was ≥ 20. CONCLUSION: The study focuses on the issue of perceived COVID-19 stigma and its psycho-socio influencing factors. It provides evidence for implementing relevant psychological interventions to COVID-19 RD. |
format | Online Article Text |
id | pubmed-10070756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100707562023-04-05 Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis Wu, Yijin Dai, Zhenwei Xiao, Weijun Wang, Hao Huang, Yiman Si, Mingyu Fu, Jiaqi Chen, Xu Jia, Mengmeng Leng, Zhiwei Cui, Dan Mak, Winnie W. S. Su, Xiaoyou Front Public Health Public Health BACKGROUND: Perceived stigma has greatly influenced the life quality of the COVID-19 patients who recovered and were discharged (RD hereafter). It is essential to understand COVID-19 stigma of RD and its related risk factors. The current study aims to identify the characteristics of perceived COVID-19 stigma in RD using latent profile analysis (LPA), to explore its psycho-social influencing factors, and to determine the cut-off point of the stigma scale using receiver operating characteristic (ROC) analysis. METHODS: A cross-sectional study was conducted among COVID-19 RD in 13 communities in Jianghan District, Wuhan City, Hubei Province, China from June 10 to July 25, 2021, enrolling total 1,297 participants. Data were collected on demographic characteristics, COVID-19 perceived stigma, post-traumatic stress disorder (PTSD), anxiety, depression, sleep disorder, fatigue, resilience, social support, and peace of mind. LPA was performed to identify different profiles of perceived COVID-19 stigma level. Univariate analysis and multinominal logistic regression analysis were conducted to explore the influencing factors in different profiles. ROC analyses was carried out to identify the cut-off value of perceived stigma. RESULTS: Among the participants, three profiles of perceived stigma were identified: “low perceived COVID-19 stigma” (12.8%), “moderate perceived COVID-19 stigma” (51.1%), and “severe perceived COVID-19 stigma” (36.1%). Multinominal logistic regression analysis revealed that older age, living with other people, anxiety, and sleep disorder were positively associated with moderate perceived COVID-19 stigma, while higher educational level was negatively associated with moderate perceived COVID-19 stigma. Female, older age, living with other people, anxiety, and sleep disorder were positively associated with severe perceived COVID-19 stigma, while higher educational level, social support, and peace of mind were negatively associated with severe perceived COVID-19 stigma. ROC curve of the Short Version of COVID-19 Stigma Scale (CSS-S) for screening perceived COVID-19 stigma showed that the optimal cut-off value was ≥ 20. CONCLUSION: The study focuses on the issue of perceived COVID-19 stigma and its psycho-socio influencing factors. It provides evidence for implementing relevant psychological interventions to COVID-19 RD. Frontiers Media S.A. 2023-03-21 /pmc/articles/PMC10070756/ /pubmed/37026126 http://dx.doi.org/10.3389/fpubh.2023.1111900 Text en Copyright © 2023 Wu, Dai, Xiao, Wang, Huang, Si, Fu, Chen, Jia, Leng, Cui, Mak and Su. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Wu, Yijin Dai, Zhenwei Xiao, Weijun Wang, Hao Huang, Yiman Si, Mingyu Fu, Jiaqi Chen, Xu Jia, Mengmeng Leng, Zhiwei Cui, Dan Mak, Winnie W. S. Su, Xiaoyou Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis |
title | Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis |
title_full | Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis |
title_fullStr | Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis |
title_full_unstemmed | Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis |
title_short | Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis |
title_sort | perceived stigma among discharged patients of covid-19 in wuhan, china: a latent profile analysis |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070756/ https://www.ncbi.nlm.nih.gov/pubmed/37026126 http://dx.doi.org/10.3389/fpubh.2023.1111900 |
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