Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Am J Public Health. 2003 Oct;93(10):1655-71.

Race/ethnicity, gender, and monitoring socioeconomic gradients in health: a comparison of area-based socioeconomic measures--the public health disparities geocoding project.

Author information

  • 1Department of Society, Human Development, and Health, Harvard School of Public Health, Boston, Massachusetts 02115, USA. nkrieger@hsph.harvard.edu

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) were most sensitive to expected socioeconomic gradients in health, with the most consistent results and maximal geocoding linkage evident for tract-level analyses.

PMID:
14534218
[PubMed - indexed for MEDLINE]
PMCID:
PMC1448030
Free PMC Article

Images from this publication.See all images (1)Free text

FIGURE 1—
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for PubMed Central
    Loading ...
    Write to the Help Desk