Cargando…

COVID-19-related stigma and its sociodemographic correlates: a comparative study

BACKGROUND: Coronavirus disease 2019 (COVID-19) is closely associated with physical and mental health problems; however, little is known about the severity of stigma caused by COVID-19 among its survivors. Thus, the aim of this study was to compare differences in stigma experiences of COVID-19 survi...

Descripción completa

Detalles Bibliográficos
Autores principales: Yuan, Yuan, Zhao, Yan-Jie, Zhang, Qing-E, Zhang, Ling, Cheung, Teris, Jackson, Todd, Jiang, Guo-Qing, Xiang, Yu-Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103123/
https://www.ncbi.nlm.nih.gov/pubmed/33962651
http://dx.doi.org/10.1186/s12992-021-00705-4
_version_ 1783689253996199936
author Yuan, Yuan
Zhao, Yan-Jie
Zhang, Qing-E
Zhang, Ling
Cheung, Teris
Jackson, Todd
Jiang, Guo-Qing
Xiang, Yu-Tao
author_facet Yuan, Yuan
Zhao, Yan-Jie
Zhang, Qing-E
Zhang, Ling
Cheung, Teris
Jackson, Todd
Jiang, Guo-Qing
Xiang, Yu-Tao
author_sort Yuan, Yuan
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19) is closely associated with physical and mental health problems; however, little is known about the severity of stigma caused by COVID-19 among its survivors. Thus, the aim of this study was to compare differences in stigma experiences of COVID-19 survivors versus healthy controls after the COVID-19 outbreak peak in China. METHODS: This cross-sectional study comprised 154 COVID-19 survivors and 194 healthy controls recruited through consecutive and convenience sampling methods, respectively. COVID-19 related stigma was measured by the Social Impact Scale (SIS). Stigma differences between the two groups were compared with analysis of covariance (ANCOVA) and a generalized linear model (GLM) was used to identify independent correlates of COVID-19-related stigma in this study. RESULTS: Compared with healthy controls, COVID-19 survivors reported more overall stigma (F((1,347)) = 60.82, p < 0.001), and stigma in domains of social rejection (F((1,347)) = 56.54, p < 0.001), financial insecurity (F((1,347)) = 19.96, p < 0.001), internalized shame (F((1,347)) = 71.40, p < 0.001) and social isolation (F((1,347)) = 34.73, p < 0.001). Status as a COVID-19 survivor, having family members infected with COVID-19, being married, economic loss during the COVID-19 pandemic, and depressive symptoms were positively associated with higher overall stigma levels (all p values < 0.05). CONCLUSION: COVID-19-related stigma is commonly experienced among COVID-19 survivors even though the outbreak has been well-contained in China. Routine assessment of stigma experiences should be conducted on COVID-19 survivors and appropriate psychological assistance, public education, and anti-stigma campaigns and policies should be enforced to reduce stigma within this vulnerable subpopulation.
format Online
Article
Text
id pubmed-8103123
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-81031232021-05-07 COVID-19-related stigma and its sociodemographic correlates: a comparative study Yuan, Yuan Zhao, Yan-Jie Zhang, Qing-E Zhang, Ling Cheung, Teris Jackson, Todd Jiang, Guo-Qing Xiang, Yu-Tao Global Health Research BACKGROUND: Coronavirus disease 2019 (COVID-19) is closely associated with physical and mental health problems; however, little is known about the severity of stigma caused by COVID-19 among its survivors. Thus, the aim of this study was to compare differences in stigma experiences of COVID-19 survivors versus healthy controls after the COVID-19 outbreak peak in China. METHODS: This cross-sectional study comprised 154 COVID-19 survivors and 194 healthy controls recruited through consecutive and convenience sampling methods, respectively. COVID-19 related stigma was measured by the Social Impact Scale (SIS). Stigma differences between the two groups were compared with analysis of covariance (ANCOVA) and a generalized linear model (GLM) was used to identify independent correlates of COVID-19-related stigma in this study. RESULTS: Compared with healthy controls, COVID-19 survivors reported more overall stigma (F((1,347)) = 60.82, p < 0.001), and stigma in domains of social rejection (F((1,347)) = 56.54, p < 0.001), financial insecurity (F((1,347)) = 19.96, p < 0.001), internalized shame (F((1,347)) = 71.40, p < 0.001) and social isolation (F((1,347)) = 34.73, p < 0.001). Status as a COVID-19 survivor, having family members infected with COVID-19, being married, economic loss during the COVID-19 pandemic, and depressive symptoms were positively associated with higher overall stigma levels (all p values < 0.05). CONCLUSION: COVID-19-related stigma is commonly experienced among COVID-19 survivors even though the outbreak has been well-contained in China. Routine assessment of stigma experiences should be conducted on COVID-19 survivors and appropriate psychological assistance, public education, and anti-stigma campaigns and policies should be enforced to reduce stigma within this vulnerable subpopulation. BioMed Central 2021-05-07 /pmc/articles/PMC8103123/ /pubmed/33962651 http://dx.doi.org/10.1186/s12992-021-00705-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yuan, Yuan
Zhao, Yan-Jie
Zhang, Qing-E
Zhang, Ling
Cheung, Teris
Jackson, Todd
Jiang, Guo-Qing
Xiang, Yu-Tao
COVID-19-related stigma and its sociodemographic correlates: a comparative study
title COVID-19-related stigma and its sociodemographic correlates: a comparative study
title_full COVID-19-related stigma and its sociodemographic correlates: a comparative study
title_fullStr COVID-19-related stigma and its sociodemographic correlates: a comparative study
title_full_unstemmed COVID-19-related stigma and its sociodemographic correlates: a comparative study
title_short COVID-19-related stigma and its sociodemographic correlates: a comparative study
title_sort covid-19-related stigma and its sociodemographic correlates: a comparative study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103123/
https://www.ncbi.nlm.nih.gov/pubmed/33962651
http://dx.doi.org/10.1186/s12992-021-00705-4
work_keys_str_mv AT yuanyuan covid19relatedstigmaanditssociodemographiccorrelatesacomparativestudy
AT zhaoyanjie covid19relatedstigmaanditssociodemographiccorrelatesacomparativestudy
AT zhangqinge covid19relatedstigmaanditssociodemographiccorrelatesacomparativestudy
AT zhangling covid19relatedstigmaanditssociodemographiccorrelatesacomparativestudy
AT cheungteris covid19relatedstigmaanditssociodemographiccorrelatesacomparativestudy
AT jacksontodd covid19relatedstigmaanditssociodemographiccorrelatesacomparativestudy
AT jiangguoqing covid19relatedstigmaanditssociodemographiccorrelatesacomparativestudy
AT xiangyutao covid19relatedstigmaanditssociodemographiccorrelatesacomparativestudy