# Psychological Components of Disease Stigma Across Illnesses: Associations with Cultural and Personal Factors

**Authors:** Shiming Yao, Jiajia Zhu, Yan Mu

PMC · DOI: 10.3390/bs16020295 · Behavioral Sciences · 2026-02-19

## TL;DR

This study explores how people stigmatize different diseases, identifying three types of stigma and how they relate to personal and cultural factors.

## Contribution

The paper introduces a three-component model of disease stigma and links it to cultural and personal psychological traits.

## Key findings

- Three components of disease stigma were identified: exclusionary, prosocial, and attribution.
- Cultural tightness was linked to blame attribution, while self-control was tied to prosocial responses.
- Network analysis showed strong clustering within stigma components and a peripheral role for attribution.

## Abstract

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.

## Linked entities

- **Diseases:** COVID-19 (MONDO:0100096), depression (MONDO:0002050), schizophrenia (MONDO:0005090)

## Full-text entities

- **Diseases:** chronic pain (MESH:D059350), obesity (MESH:D009765), smoking- (MESH:D015208), depression (MESH:D003866), congenital disorders (MESH:D009358), Ebola (MESH:D019142), infectious (MESH:D003141), illness (MESH:D002908), SARS (MESH:D045169), HIV (MESH:D015658), flu (MESH:D007251), ID (MESH:C537985), Disease (MESH:D004194), injury to (MESH:D014947), schizophrenia (MESH:D012559), fibromyalgia (MESH:D005356), infected (MESH:D007239), substance use disorders (MESH:D019966), Mental illness (MESH:D001523), cancer (MESH:D009369), COVID-19 (MESH:D000086382), diabetes (MESH:D003920)
- **Species:** Human immunodeficiency virus 1 (no rank) [taxon 11676], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12937942/full.md

## References

131 references — full list in the complete paper: https://tomesphere.com/paper/PMC12937942/full.md

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Source: https://tomesphere.com/paper/PMC12937942