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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-...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
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.
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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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