A spatial analysis of health-related resources in three diverse metropolitan areas
dc.contributor.author | Smiley, MJ | |
dc.contributor.author | Diez Roux, Ana V. | |
dc.contributor.author | Brines, S.J. | |
dc.contributor.author | Brown, DG | |
dc.contributor.author | Evenson, K. R. | |
dc.contributor.author | Rodriguez, DA | |
dc.date.accessioned | 2010-11-29T15:42:10Z | |
dc.date.available | 2010-11-29T15:42:10Z | |
dc.date.issued | 2010-05 | |
dc.identifier.citation | Health Place. 2010 Sep;16(5):885-92. Epub 2010 May 15. <http://hdl.handle.net/2027.42/78330> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/78330 | |
dc.description.abstract | Few studies have investigated the spatial clustering of multiple health-related resources. We constructed 0.5 mile kernel densities of resources for census areas in New York City, NY (n=819 block groups), Baltimore, MD (n=737), and Winston-Salem, NC (n=169). Three of the four resource densities (supermarkets/produce stores, retail areas, and recreational facilities) tended to be correlated with each other, whereas park density was less consistently and sometimes negatively correlated with others. Blacks were more likely to live in block groups with multiple low resource densities. Spatial regression models showed that block groups with higher proportions of black residents tended to have lower supermarket/produce, retail, and recreational facility densities, although these associations did not always achieve statistical significance. A measure that combined local and neighboring block group racial composition was often a stronger predictor of resources than the local measure alone. Overall, our results from three diverse U.S. cities show that health-related resources are not randomly distributed across space and that disadvantage in multiple domains often clusters with residential racial patterning. | en_US |
dc.format.extent | 187166 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | en_US |
dc.title | A spatial analysis of health-related resources in three diverse metropolitan areas | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Public Health | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.contributor.affiliationum | Epidemiology, Department of | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/78330/1/SmileyDiezRoux2010_HealthPlace.pdf | |
dc.owningcollname | Epidemiology, Department of (SPH) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.