Abstract
Objectives: Knowledge about the mechanism of the personal stigma of depression may inform strategies to reduce stigma and promote help-seeking. We examined the dimensionality and risk factors of the personal stigma of depression in older adults at risk of depression. Methods: Seven-hundred and one Hong Kong adults aged 50 years and older at risk of depression completed the personal stigma subscale of the depression Stigma Scale (DSS-personal) at two-time points. We used exploratory factor analysis (EFA) to explore the factor structure of DSS personal and confirmatory factor analysis to examine the model fit of the EFA-informed factor structure and structures proposed in previous studies. Regression analyses examined the relationships between risk factors and personal stigma dimensions. Results: Factor analyses identified a 3-factor structure of DSS-personal resembling the social-cognitive model consistent over time and included stereotype, prejudice, and discrimination (CFI = 0.95, TLI = 0.92, RMSEA = 0.05). Regression analyses indicated all stigma dimensions were associated with older age, less education, and no personal history of depression (B = –0.44 to 0.06); discrimination was also associated with more depressive symptoms (B = 0.10 to 0.12). Conclusion: Findings illustrated the potential theoretical underpinning of DSS-personal. Stigma reduction interventions could target and tailor to older adults with risk factors to enhance effectiveness and promote help-seeking.
| Original language | English |
|---|---|
| Pages (from-to) | 1644-1651 |
| Number of pages | 8 |
| Journal | Aging and Mental Health |
| Volume | 27 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - Feb 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- discrimination
- prejudice
- psychometrics
- social-cognitive model
- Stereotype
ASJC Scopus subject areas
- Phychiatric Mental Health
- Gerontology
- Geriatrics and Gerontology
- Psychiatry and Mental health
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