Residential Structural Racism and Prevalence of Chronic Health Conditions
Authors' conclusion
This cross-sectional study found several global and discrete structural racism indicators associated with increased prevalence of health conditions in residential neighborhoods. Although inferences from this cross-sectional and ecological study warrant caution, they may help guide the development of future community health interventions.
Study context
- Population
- 150 residential neighborhoods (US census block groups) in Durham County, North Carolina; public data (2012–2018) and deidentified electronic health records (2017–2018)
- Participants
- 150 neighborhoods
- Exposure
- Structural racism indicators (global and discrete) vs neighborhood prevalence of chronic kidney disease (CKD), diabetes and hypertension
- Outcome
- Neighborhood prevalence of CKD, diabetes and hypertension
Methodological detailsecological, bayesian models accounting for spatial correlations and residents' age, Data analyzed January 2021 to May 2023
- Ecological
- Bayesian models accounting for spatial correlations and residents' age
- Data analyzed January 2021 to May 2023
Main finding
As reported in the abstract
Neighborhood prevalence per 1-SD decrease in neighborhood White population percentage (global indicator)
CKD prevalence ratio (PR); 95% HDI 1.18-1.35
1.27
Diabetes PR; 95% HDI 1.37-1.52
1.43
Hypertension PR; 95% HDI 1.14-1.25
1.19
Observational data: associations, not effects.
Further findings
Neighborhood prevalence per 1-SD increase in reported violent crime (discrete indicator)
- CKD PR; 95% HDI 1.07-1.23
- 1.15
- Diabetes PR; 95% HDI 1.13-1.28
- 1.20
- Hypertension PR; 95% HDI 1.02-1.14
- 1.08
- Greater burden of structural racism (discrete indicators) associated with greater neighborhood prevalence of CKD, diabetes and hypertension
- 95% highest density interval (HDI)
Original publication
Residential Structural Racism and Prevalence of Chronic Health Conditions. JAMA Netw Open. Published 1 December 2023. doi:10. 1001/ jamanetworkopen. 2023. 48914
Composed by AI from the published abstract and checked against it. How Briefs are made →