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Geocoding and Monitoring of US Socioeconomic Inequalities in Mortality and Cancer Incidence: Does the Choice of Area-based Measure and Geographic Level Matter?: The Public Health Disparities Geocoding Project
Abstract
Despite the promise of geocoding and use of area-based socioeconomic measures to overcome the paucity of socioeconomic data in US public health surveillance systems, no consensus exists as to which measures should be used or at which level of geography. The authors generated diverse single-variable and composite area-based socioeconomic measures at the census tract, block group, and zip code level for Massachusetts (1990 population: 6,016,425) and Rhode Island (1990 population: 1,003,464) to investigate their associations with mortality rates (1989-1991: 156,366 resident deaths in Massachusetts and 27,291 in Rhode Island) and incidence of primary invasive cancer (1988-1992: 140,610 resident cases in Massachusetts; 1989-1992: 19,808 resident cases in Rhode Island). Analyses of all-cause and cause-specific mortality rates and all-cause and site-specific cancer incidence rates indicated that: 1) block group and tract socioeconomic measures performed comparably within and across both states, but zip code measures for several outcomes detected no gradients or gradients contrary to those observed with tract and block group measures; 2) similar gradients were detected with categories generated by quintiles and by a priori categorical cutpoints; and 3) measures including data on economic poverty were most robust and detected gradients that were unobserved using measures of only education and wealth.
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Cites
Theories for social epidemiology in the 21st century: An ecosocial perspective
Krieger, N. (2001) · International Journal of Epidemiology · doi:10.1093/ije/30.4.668 · Cited by 2,155 · cited 1×
“Guided by an ecosocial framework ( 43 ), we deliberately included data from multiple public health surveillance systems to maximize our ability to assess associations and geosocial health disparities observed for diverse health outcomes manifested at different ages.”
MethodSelf-citationNeighborhood of residence and incidence of coronary heart disease
Roux, A. V. D., Merkin, S. S., Arnett, D., Chambless, L., Massing, M., Nieto, F. J., Sorlie, P., Szklo, M., Tyroler, H. A., & Watson, R. L. (2001) · New England Journal of Medicine · doi:10.1056/nejm200107123450205 · Cited by 1,799
Cited by
Spatial analysis of air pollution and mortality in Los Angeles
Jerrett, M., Burnett, R. T., Ma, R., Pope, C. A., Krewski, D., Newbold, K. B., Thurston, G., Shi, Y., Finkelstein, N., Calle, E. E., et al. (2005) · Epidemiology · doi:10.1097/01.ede.0000181630.15826.7d · Cited by 985
Is Income Inequality a Determinant of Population Health? Part 1. A Systematic Review
LYNCH, J., SMITH, G. D., HARPER, S., HILLEMEIER, M., ROSS, N., KAPLAN, G. A., & WOLFSON, M. (2004) · The Milbank Quarterly · doi:10.1111/j.0887-378x.2004.00302.x · Cited by 938
Kohler, B. A., Sherman, R. L., Howlader, N., Jemal, A., Ryerson, A. B., Henry, K. A., Boscoe, F. P., Cronin, K. A., Lake, A., Noone, A.-M., et al. (2015) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djv048 · Cited by 915
Clegg, L. X., Reichman, M. E., Miller, B. A., Hankey, B. F., Singh, G. K., Lin, Y. D., Goodman, M. T., Lynch, C. F., Schwartz, S. M., Chen, V. W., et al. (2009) · Cancer Causes & Control · doi:10.1007/s10552-008-9256-0 · Cited by 835
Krieger, N., Chen, J. T., Waterman, P. D., Rehkopf, D. H., & Subramanian, S. V. (2003) · American Journal of Public Health · doi:10.2105/ajph.93.10.1655 · Cited by 711
Self-citation
Metadata
- Authors
- Krieger, N.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-09-01
- Volume
- 156
- Issue
- 5
- Pages
- 471-482
- ISSN
- 0002-9262 (ISSN-L)
- OpenAlex
- W1971204122
- Cited by
- 1,181
- References
- 2
- FWCI
- 32.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- Krieger, N. (2002). Geocoding and Monitoring of US Socioeconomic Inequalities in Mortality and Cancer Incidence: Does the Choice of Area-based Measure and Geographic Level Matter?: The Public Health Disparities Geocoding Project. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwf068
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