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Association between Social Engagements and Stigmatization of COVID-19 Infection among Community Population in Japan
In the face of unknown risks, including the coronavirus disease 2019 (COVID-19) pandemic, we tend to have stigmatized perceptions. The current study aimed to examine the association of social engagements with the level of stigmatization of COVID-19 infection among the general population. The data of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329772/ https://www.ncbi.nlm.nih.gov/pubmed/35897433 http://dx.doi.org/10.3390/ijerph19159050 |
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author | Koyama, Yuna Nawa, Nobutoshi Yamaoka, Yui Nishimura, Hisaaki Kuramochi, Jin Fujiwara, Takeo |
author_facet | Koyama, Yuna Nawa, Nobutoshi Yamaoka, Yui Nishimura, Hisaaki Kuramochi, Jin Fujiwara, Takeo |
author_sort | Koyama, Yuna |
collection | PubMed |
description | In the face of unknown risks, including the coronavirus disease 2019 (COVID-19) pandemic, we tend to have stigmatized perceptions. The current study aimed to examine the association of social engagements with the level of stigmatization of COVID-19 infection among the general population. The data of 429 participants of the Utsunomiya COVID-19 seroprevalence neighborhood association (U-CORONA) study, a population-based cohort study conducted in Utsunomiya City, Japan, were analyzed. Their stigmatized perception of people with COVID-19 infection was evaluated via a questionnaire for the situation if they or others in their community were to get infected. The association between social engagements (community social capital, social network diversity, and social network size) and stigmatization were analyzed by a multiple linear regression model with generalized estimating equations. Overall, females reported a higher stigmatized perception of people with COVID-19 than males. Lower education and depressive symptoms were also positively associated with higher stigmatization, while age, household income, and comorbidities were not. People with higher community social capital reported lower stigmatization (B = −0.69, 95% CI = −1.23 to −0.16), while social network diversity and social network size did not show an association with stigmatization. We found an association between community social capital and stigmatization, suggesting that enhancing their community social capital, but not social network diversity and size, has the potential to mitigate the levels of stigmatization. |
format | Online Article Text |
id | pubmed-9329772 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93297722022-07-29 Association between Social Engagements and Stigmatization of COVID-19 Infection among Community Population in Japan Koyama, Yuna Nawa, Nobutoshi Yamaoka, Yui Nishimura, Hisaaki Kuramochi, Jin Fujiwara, Takeo Int J Environ Res Public Health Article In the face of unknown risks, including the coronavirus disease 2019 (COVID-19) pandemic, we tend to have stigmatized perceptions. The current study aimed to examine the association of social engagements with the level of stigmatization of COVID-19 infection among the general population. The data of 429 participants of the Utsunomiya COVID-19 seroprevalence neighborhood association (U-CORONA) study, a population-based cohort study conducted in Utsunomiya City, Japan, were analyzed. Their stigmatized perception of people with COVID-19 infection was evaluated via a questionnaire for the situation if they or others in their community were to get infected. The association between social engagements (community social capital, social network diversity, and social network size) and stigmatization were analyzed by a multiple linear regression model with generalized estimating equations. Overall, females reported a higher stigmatized perception of people with COVID-19 than males. Lower education and depressive symptoms were also positively associated with higher stigmatization, while age, household income, and comorbidities were not. People with higher community social capital reported lower stigmatization (B = −0.69, 95% CI = −1.23 to −0.16), while social network diversity and social network size did not show an association with stigmatization. We found an association between community social capital and stigmatization, suggesting that enhancing their community social capital, but not social network diversity and size, has the potential to mitigate the levels of stigmatization. MDPI 2022-07-25 /pmc/articles/PMC9329772/ /pubmed/35897433 http://dx.doi.org/10.3390/ijerph19159050 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Koyama, Yuna Nawa, Nobutoshi Yamaoka, Yui Nishimura, Hisaaki Kuramochi, Jin Fujiwara, Takeo Association between Social Engagements and Stigmatization of COVID-19 Infection among Community Population in Japan |
title | Association between Social Engagements and Stigmatization of COVID-19 Infection among Community Population in Japan |
title_full | Association between Social Engagements and Stigmatization of COVID-19 Infection among Community Population in Japan |
title_fullStr | Association between Social Engagements and Stigmatization of COVID-19 Infection among Community Population in Japan |
title_full_unstemmed | Association between Social Engagements and Stigmatization of COVID-19 Infection among Community Population in Japan |
title_short | Association between Social Engagements and Stigmatization of COVID-19 Infection among Community Population in Japan |
title_sort | association between social engagements and stigmatization of covid-19 infection among community population in japan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329772/ https://www.ncbi.nlm.nih.gov/pubmed/35897433 http://dx.doi.org/10.3390/ijerph19159050 |
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