Association between Social Engagements and Stigmatization of COVID-19 Infection among Community Population in Japan.
Int J Environ Res Public Health
; 19(15)2022 07 25.
Article
in English
| MEDLINE | ID: covidwho-1957324
ABSTRACT
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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Social Capital
/
COVID-19
Type of study:
Cohort study
/
Experimental Studies
/
Observational study
/
Prognostic study
Limits:
Female
/
Humans
/
Male
Country/Region as subject:
Asia
Language:
English
Year:
2022
Document Type:
Article
Affiliation country:
Ijerph19159050
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