A systematic review on the cultural factors associated with stigma during pandemics

The Effect of Information Exposure on Stigma Toward the COVID-19 Patient Mediated by Perceived Risk, Attribution of Blame and Protection Norm Conformity

This study employed the model of stigma communication (MSC) to analyze how exposure to COVID-19-related information affected stigma-related information sharing about people who contracted COVID-19 during the pandemic and examined the cognitive process of the MSC in a collectivist culture. Based on a survey of 526 social media users during the COVID-19 pandemic in China, the study found that exposure to contact tracing information and pandemic control information had different impact on stigma-related information sharing through a series of cognitive variables. A dual-path model showed that perceived personal risk influenced stigma-related information sharing through attribution of blame toward the infected (the personal path), while perceived social risk influenced stigma-related information sharing through protection norm conformity (the social path). Compared to the personal path, the social path is more salient in shaping stigmatized attitudes and behaviors. The findings and discussions added to our understanding of the intricate stigma communication process in a collectivist culture.

The effect of parental regulatory focus on the loneliness stigma of college children

BACKGROUND

The present study aimed to examine the relationship between regulatory focus and loneliness stigma, as well as the intergenerational transmission of the two. Specifically, the study analyzed the effects of fathers' and mothers' regulatory focus on their own and their spouses' stigma of loneliness. In addition, a mediation model was constructed to explore how parents' regulatory focus influences their children's stigma of loneliness and the potential mediating mechanisms involved.

METHODS

Questionnaires were distributed to 470 college students and their parents, employing the Regulatory Focus Questionnaire (RFQ) and the Stigma of Loneliness Scale (SLS) to collect data.

RESULTS

The analysis of intergenerational transmission effects revealed that parents' regulatory focus and loneliness stigma significantly and positively predicted children's regulatory focus and loneliness stigma, respectively. The Actor-Partner Interdependence Model (APIM) elucidated that both fathers' and mothers' promotion focus exerted significant influence on both actor and partner's loneliness stigma. Furthermore, the mediation model analysis indicated that parents' loneliness stigma, along with children's regulatory focus operate as mediators in the influence of parental regulatory focus on loneliness stigma of their college-aged offspring.

CONCLUSIONS

From a familial context, this study, investigated the association between regulatory focus and loneliness stigma, along with the mediating roles within parent-child groups and couples. The findings enhanced our comprehension of the interrelation between regulatory focus and loneliness stigma, underpinned by empirical evidence.

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

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.