Objective: Measures of neighborhood disadvantage demonstrate correlations to health outcomes in children. We compared differing indices of neighborhood disadvantage with emergency medical services (EMS) interventions in children.
Methods: We performed a retrospective study of EMS encounters for children (<18 years) from approximately 2000 US EMS agencies between 2021 and 2022. Our exposures were the Child Opportunity Index (COI; v2.0), 2021 Area Deprivation Index (ADI), and 2018 Social Vulnerability Index (SVI). We evaluated the agreement in how children were classified with each index using the intraclass correlation coefficient. We used logistic regression to evaluate the association of each index with transport status, presence of cardiac arrest, and condition-specific interventions and assessments.
Results: We included 738,892 encounters. The correlation between the indices indicated good agreement (intraclass correlation coefficient=0.75). There was overlap in relationships between the COI, ADI, and SVI for each of the study outcomes, both when visualized as a splined predictor and when using representative odds ratios (OR) comparing the third quartile of each index to the lower quartile (most disadvantaged). For example, the OR of non-transport was 1.12 (95% confidence interval [CI]: 1.10-1.14) for COI, 1.18 (95% CI: 1.16-1.20) for ADI, and 1.22 (95% CI: 1.20-1.23) for SVI.
Conclusion: The COI, ADI, and SVI had good correlation and demonstrated similar effect size estimates for a variety of clinical outcomes. While investigators should consider potential causal pathways for outcomes when selecting an index for neighborhood disadvantage, the relative strength of association between each index and all outcomes was similar.
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http://dx.doi.org/10.1016/j.acap.2024.10.004 | DOI Listing |
Environ Epidemiol
February 2025
Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, New York.
Background: Utility services for electricity, gas, heat, and hot water are necessities for everyday activities (e.g., lighting, cooking, and thermal safety).
View Article and Find Full Text PDFBMC Med
January 2025
Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Background: Since older adults spend significant time in their neighborhood environment, environmental factors such as neighborhood socioeconomic disadvantage, high racial segregation, low healthy food availability, low access to recreation, and minimal social engagement may have adverse effects on cognitive function and increase susceptibility to dementia. DNA methylation, which is associated with neighborhood characteristics as well as cognitive function and white matter hyperintensity (WMH), may act as a mediator between neighborhood characteristics and neurocognitive outcomes.
Methods: In this study, we examined whether DNA methylation in peripheral blood leukocytes mediates the relationship between neighborhood characteristics and cognitive function (N = 542) or WMH (N = 466) in older African American (AA) participants without preliminary evidence of dementia from the Genetic Epidemiology Network of Arteriopathy (GENOA).
BMC Health Serv Res
January 2025
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Background: Timely rehabilitative care is vital for functional recovery after stroke. Social determinants may influence access to and use of post-stroke care but have been inadequately explored. The study examined the relationship between the Social Vulnerability Index (SVI) and community-based rehabilitation utilization.
View Article and Find Full Text PDFCancer Causes Control
January 2025
Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, 60612, USA.
Purpose: The prevalence of obesity, a crucial risk factor for breast cancer, is markedly higher among Hispanic women. The interaction between ethnic enclaves and neighborhood socioeconomic status (SES) as a determinant of this disparity warrants further research. We aimed to identify neighborhood profiles based on ethnic enclaves and socioeconomic status to evaluate the association with obesity among Hispanic women in the metropolitan Chicago region.
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