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The ethnic density effect as a contextual influence in ecological disease models: Establishing its quantitative
1School of Geography, Queen Mary University of London, London, E1 4NS, UK.
Health & Place
|August 6, 2023
Summary
Higher ethnic density in neighborhoods may reduce psychosis risk for minority groups. This study found that non-white ethnicity
Area of Science:
- Epidemiology
- Social Psychiatry
- Geographic Information Systems
Background:
- Research indicates a link between neighborhood ethnic density and illness rates within ethnic groups.
- The 'ethnic density effect' may influence psychosis risk, particularly in areas with higher concentrations of ethnic minorities.
- Geographic and demographic factors can interact, potentially modifying health outcomes.
Purpose of the Study:
- To investigate the nonlinear impact of ethnic density on psychosis prevalence in London neighborhoods.
- To examine if ethnic density acts as a contextual factor that attenuates the association between minority ethnicity and psychosis risk.
- To explore the role of deprivation amplification in psychosis prevalence.
Main Methods:
- Analysis of psychosis prevalence data from 4835 London neighborhoods (2019-2020).
- Utilized clinical diagnosis data from primary care, offering a complete population perspective.
- Employed ecological disease regression and spatially varying coefficient models to assess ethnic density effects.
Main Results:
- Found evidence of nonlinear impacts of non-white ethnicity on psychosis prevalence.
- Psychosis risk remained relatively stable above a certain threshold of non-white population concentration.
- No evidence was found to support the 'deprivation amplification' hypothesis in this context.
Conclusions:
- Ethnic density appears to have a protective effect on psychosis risk for ethnic minority groups once a certain population threshold is reached.
- The findings suggest that contextual factors related to ethnic density can modify the relationship between ethnicity and mental health.
- Further research is needed to understand the mechanisms behind these observed geographic and demographic interactions.
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