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Does the Chronic Stress of Everyday Discrimination or Race Itself Better Predict AD Onset Risk?
Katharine M Gary1, Masudul Hoque1, Arseniy P Yashkin1
1Duke University, Durham, NC, USA.
Gerontology & Geriatric Medicine
|December 22, 2022
Summary
Everyday discrimination predicts Alzheimer's Disease (AD) onset risk. Black individuals face more discrimination, but were not more vulnerable to its effects on AD, possibly due to biased diagnoses or mortality selection.
Area of Science:
- Neuroscience
- Sociology
- Public Health
Background:
- Everyday discrimination is a documented chronic strain for Black individuals, acting as a social determinant of illness.
- Limited research exists on the specific links between discrimination, race, and Alzheimer's Disease (AD) onset risk.
Purpose of the Study:
- To investigate racial disparities in Alzheimer's Disease onset risk.
- To examine the relationship between everyday discrimination, race, and AD onset risk using the Health and Retirement Study.
- To explore racial differences in exposure and vulnerability to everyday discrimination.
Main Methods:
- Utilized Cox Proportional Hazard Models to analyze data from the Health and Retirement Study.
- Examined racial differences in exposure to and vulnerability to everyday discrimination.
- Assessed the predictive relationship between everyday discrimination and AD onset risk across racial groups.
Main Results:
- Everyday discrimination was found to predict Alzheimer's Disease onset risk.
- Black individuals reported higher exposure to everyday discrimination as a chronic strain.
- Contrary to the stress process model, Black respondents did not exhibit greater vulnerability to the effects of discrimination on AD onset risk.
Conclusions:
- Discrimination is a significant factor in predicting Alzheimer's Disease risk.
- Racial bias in medical diagnosis and mortality selection bias may influence observed effects.
- Findings highlight the need to address systemic biases in healthcare and consider their impact on AD diagnosis and outcomes in minority populations.
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