Psychological Components of Disease Stigma Across Illnesses: Associations with Cultural and Personal Factors
Understanding public stigma against patients (also known as disease stigma)-negative attitudes or discriminatory responses toward individuals with a disease-is essential for improving health outcomes and fostering inclusive communities. In this study, 279 participants rated their responses toward eight disease groups (e.g., HIV/AIDS, COVID-19, and depression). Using multiple factor analysis, we identified three components of disease stigma: exclusionary (e.g., avoidance and harmful evaluation), prosocial (e.g., sympathy and helping), and attribution (blame/responsibility). Confirmatory factor analysis supported this three-component structure. Repeated-measures ANOVAs revealed systematic differences across diseases: COVID-19 and schizophrenia elicited stronger exclusionary responses, depression evoked the strongest prosocial responses, and HIV/AIDS was associated with the highest attribution of blame. Linear mixed-effects models further indicated that perceived cultural tightness was positively associated with the attribution component, self-control was positively associated with the prosocial component, and higher self-esteem was linked to greater exclusionary responses. Furthermore, network analysis showed dense within-component clustering (e.g., trust-negative evaluation; sympathy-helping) and a peripheral positioning of attribution within the stigma network. These findings provide insights into the psychological components of disease stigma and its cultural and personal correlates, providing targets for component-specific stigma reduction strategies.
Authors
- Yan Mu
- Shiming Yao (ORCID: https://orcid.org/0009-0005-1705-4261)
- Jiajia Zhu
Institutions
- Institute of Psychology, Chinese Academy of Sciences (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Behavioral Sciences
- Published
- 2026-02-19
- DOI
- https://doi.org/10.3390/bs16020295
- Primary Topic
- Mental Health Treatment and Access
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- Institute of Psychology, Chinese Academy of Sciences