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Published on: December 15, 2023
[COVID-19-related self-stigma: association with vulnerability and trust in institutions]
Nadine Reibling1, Philipp Linden1, Torsten Schneider2
1Fachbereich Gesundheitswissenschaften, Hochschule Fulda, Fulda, Deutschland.
Background:
Self-stigmatization in the context of infectious diseases can be a psychosocial burden and reduce the cooperation with infection control measures. This study investigates for the first time the level of self-stigmatization among individuals with different social and medical vulnerabilities in Germany.
Methods:
Data are derived from an online survey (CAWI: Computer Assisted Web Interview) conducted during the COVID-19 pandemic in winter 2020/21. The quota sample (N = 2536) is representative for the key variables gender, age, education, and place of residence for the German adult population. For operationalizing COVID-19 related self-stigmatization, we developed a new scale. We also collected information on medical and social vulnerabilities as well as trust in institutions. Data analysis was based on descriptive statistics and multiple ordinary least squares (OLS) regression.
Results:
Overall, we find a level of self-stigmatization slightly over the scale mean. While socially vulnerable groups do not have higher levels of self-stigmatization - with the exception of women - individuals with medical vulnerabilities (higher infection risks, poor health status, risk group) show higher levels of self-stigma. Higher trust in institutions is associated with higher levels of self-stigmatization.
Discussion:
Stigmatization should be regularly monitored during pandemics and considered in communication measures. Thus, it is important to pay attention to less stigmatizing formulations and to point out risks without defining risk groups.
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