Race/Ethnicity, Gender, and Monitoring Socioeconomic Gradients in Health: A Comparison of Area-Based Socioeconomic Measures—The Public Health Disparities Geocoding Project
Indexed incrossrefpubmed
Abstract
Use of multilevel frameworks and area-based socioeconomic measures (ABSMs) for public health monitoring can potentially overcome the absence of socioeconomic data in most US public health surveillance systems. To assess whether ABSMs can meaningfully be used for diverse race/ethnicity-gender groups, we geocoded and linked public health surveillance data from Massachusetts and Rhode Island to 1990 block group, tract, and zip code ABSMs. Outcomes comprised death, birth, cancer incidence, tuberculosis, sexually transmitted infections, childhood lead poisoning, and nonfatal weapons-related injuries. Among White, Black, and Hispanic women and men, measures of economic deprivation (e.g., percentage below poverty)…
Citation impact
716
total citations
- FWCI
- 15.52
- Percentile
- 100%
- References
- 66
Citations per year
Authors
5Topics & keywords
Topics
Keywords
- Socioeconomic status
- Geocoding
- Public health
- Ethnic group
- Health equity
- Environmental health
- Poverty
- Demography
UN Sustainable Development Goals
- No poverty
No related works found for this paper.