Linked Life Data

19190579

Source:http://linkedlifedata.com/resource/pubmed/id/19190579

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2009-2-4
pubmed:abstractText
Although many low-income urban areas are highly walkable by conventional measures such as population density or land use mix, chronic diseases related to lack of physical activity are more common among residents of these areas. Disparities in neighborhood conditions may make poor areas less attractive environments for walking, offsetting the advantages of density and land use mix. This study compared poor and nonpoor neighborhoods in New York City, using geographic information systems measures constructed from public data for US census tracts within New York City (N=2,172) as well as field observation of a matched-pair sample of 76 block faces on commercial streets in poor and nonpoor neighborhoods. Poor census tracts had significantly fewer street trees, landmarked buildings, clean streets, and sidewalk cafes, and higher rates of felony complaints, narcotics arrests, and vehicular crashes. The field observation showed similar results. Improving aesthetic and safety conditions in poor neighborhoods may help reduce disparities in physical activity among urban residents.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0197-5897
pubmed:author
pubmed:issnType
Print
pubmed:volume
30 Suppl 1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S264-85
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Disparities in urban neighborhood conditions: evidence from GIS measures and field observation in New York City.
pubmed:affiliation
Institute for Social and Economic Research and Policy, Columbia University, New York, NY 10027, USA. kmn2@columbia.edu
pubmed:publicationType
Journal Article, Comparative Study