Unknown

Dataset Information

[COVID-19-related self-stigma: association with vulnerability and trust in institutions].


ABSTRACT:

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 insti

SUBMITTER: Reibling N 

PROVIDER: S-EPMC10372126 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature