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 Export

@article{citeulike:5701904, 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. 10.1093/aje/kwf068}, author = {Krieger, Nancy and Chen, Jarvis T. and Waterman, Pamela D. and Soobader, Mah-Jabeen and Subramanian, S. V. and Carson, Rosa}, citeulike-article-id = {5701904}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/aje/kwf068}, citeulike-linkout-1 = {http://aje.oxfordjournals.org/cgi/content/abstract/156/5/471}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/12196317}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=12196317}, day = {1}, doi = {10.1093/aje/kwf068}, journal = {Am. J. Epidemiol.}, keywords = {cancer, geocoding, geography, maup, mortality, scale}, month = {September}, number = {5}, pages = {471--482}, posted-at = {2009-09-02 02:39:24}, priority = {5}, title = {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}, url = {http://dx.doi.org/10.1093/aje/kwf068}, volume = {156}, year = {2002} }

TY - JOUR ID - citeulike:5701904 L3 - citeulike-article-id:5701904 N2 - 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. 10.1093/aje/kwf068 IS - 5 JF - Am. J. Epidemiol. EP - 482 TI - 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 VL - 156 SP - 471 KW - cancer KW - geocoding KW - geography KW - maup KW - mortality KW - scale AU - Krieger, Nancy AU - Chen, Jarvis AU - Waterman, Pamela AU - Soobader, Mah-Jabeen AU - Subramanian, SV AU - Carson, Rosa PY - 2002/09/01/ UR - http://dx.doi.org/10.1093/aje/kwf068 ER -