Race/Ethnicity, Gender, and Monitoring Socioeconomic Gradients in Health: A Comparison of Area-Based Socioeconomic MeasuresThe Public Health Disparities Geocoding Project
Nancy Krieger, PhD,
Jarvis T. Chen, ScD,
Pamela D. Waterman, MPH,
David H. Rehkopf, MPH and
S. V. Subramanian, PhD
The authors are with the Department of Society, Human Development, and Health, Harvard School of Public Health, Boston, Mass.
Correspondence: Requests for reprints should be sent to Nancy Krieger, PhD, Department of Society, Human Development, and Health, Harvard School of Public Health, 677 Huntington Ave, Boston, MA 02115 (e-mail: nkrieger{at}hsph.harvard.edu).
Use of multilevel frameworks and area-based socioeconomic measures(ABSMs) for public health monitoring can potentially overcomethe absence of socioeconomic data in most US public health surveillancesystems.
To assess whether ABSMs can meaningfully be used for diverserace/ethnicitygender groups, we geocoded and linked publichealth surveillance data from Massachusetts and Rhode Islandto 1990 block group, tract, and zip code ABSMs. Outcomes compriseddeath, birth, cancer incidence, tuberculosis, sexually transmittedinfections, childhood lead poisoning, and nonfatal weapons-relatedinjuries.
Among White, Black, and Hispanic women and men, measures ofeconomic deprivation (e.g., percentage below poverty) were mostsensitive to expected socioeconomic gradients in health, withthe most consistent results and maximal geocoding linkage evidentfor tract-level analyses.
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