Document Detail


Neighborhoods and obesity in New York City.
MedLine Citation:
PMID:  20106710     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Recent studies reveal disparities in neighborhood access to food and fitness facilities, particularly in US cities; but few studies assess the effects of multiple neighborhood factors on obesity. This study measured the multilevel relations between neighborhood food availability, opportunities and barriers for physical activity, income and racial composition with obesity (BMI> or =30 kg/m(2)) in New York City, controlling for individual-level factors. Obesity rates varied widely between neighborhoods, ranging from 6.8% to 31.7%. Obesity was significantly (p<0.01) associated with neighborhood-level factors, particularly the availability of supermarkets and food stores, fitness facilities, percent of commercial land use and area income. These findings are consistent with the growing literature showing that area income and availability of food and physical activity resources are related to obesity.
Authors:
Jennifer L Black; James Macinko; L Beth Dixon; George E Fryer
Publication Detail:
Type:  Comparative Study; Journal Article     Date:  2010-01-07
Journal Detail:
Title:  Health & place     Volume:  16     ISSN:  1873-2054     ISO Abbreviation:  Health Place     Publication Date:  2010 May 
Date Detail:
Created Date:  2010-03-09     Completed Date:  2010-06-08     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9510067     Medline TA:  Health Place     Country:  England    
Other Details:
Languages:  eng     Pagination:  489-99     Citation Subset:  T    
Copyright Information:
Copyright 2010 Elsevier Ltd. All rights reserved.
Affiliation:
University of British Columbia, Food, Nutrition and Health, Faculty of Land and Food Systems, Vancouver, Canada. j.black@ubc.ca
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Cross-Sectional Studies
Exercise
Female
Food Supply
Humans
Male
Middle Aged
Multivariate Analysis
New York City / epidemiology
Obesity / epidemiology*
Poverty
Regression Analysis
Residence Characteristics*
Risk Factors
Small-Area Analysis
Socioeconomic Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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