Disparities in neighborhood food environments: implications of measurement strategies.
Public health researchers have begun to map the neighborhood “food environment” and examine its association with the risk of overweight and obesity. Some argue that “food deserts”—areas with little or no provision of fresh produce and other healthy food—may contribute to disparities in obesity, diabetes, and related health problems. While research on neighborhood food environments has taken advantage of more technically sophisticated ways to assess distance and density, in general, it has not considered how individual or neighborhood conditions might modify physical distance and thereby affect patterns of spatial accessibility. This study carried out a series of sensitivity analyses to illustrate the effects on the measurement of disparities in food environments of adjusting for cross-neighborhood variation in vehicle ownership rates, public transit access, and impediments to pedestrian travel, such as crime and poor traffic safety. The analysis used geographic information systems data for New York City supermarkets, fruit and vegetable markets, and farmers' markets and employed both kernel density and distance measures. We found that adjusting for vehicle ownership and crime tended to increase measured disparities in access to supermarkets by neighborhood race/ethnicity and income, while adjusting for public transit and traffic safety tended to narrow these disparities. Further, considering fruit and vegetable markets and farmers' markets, as well as supermarkets, increased the density of healthy food outlets, especially in neighborhoods with high concentrations of Hispanics, Asians, and foreign-born residents and in high-poverty neighborhoods.
University of Pennsylvania.
Michael D M
MD
Bader
Marnie
M
Purciel
Paulette
P
Yousefzadeh
Kathryn M
KM
Neckerman
D002947:Cities / Q000191:economics / Q000208:ethnology / Q000266:history / Q000331:legislation & jurisprudence; D048909:Diabetes Complications / Q000191:economics / Q000208:ethnology / Q000266:history / Q000523:psychology; D004032:Diet / Q000191:economics / Q000208:ethnology / Q000266:history / Q000523:psychology; D005006:Ethnicity / Q000193:education / Q000208:ethnology / Q000266:history / Q000331:legislation & jurisprudence / Q000523:psychology; D019649:Food Industry / Q000191:economics / Q000193:education / Q000266:history / Q000331:legislation & jurisprudence; D005523:Food Supply / Q000191:economics / Q000266:history / Q000331:legislation & jurisprudence; D049673:History, 20th Century; D049674:History, 21st Century; D006801:Humans; D007182:Income / Q000266:history; D009765:Obesity / Q000191:economics / Q000208:ethnology / Q000266:history / Q000523:psychology; D050177:Overweight / Q000191:economics / Q000208:ethnology / Q000266:history / Q000523:psychology; D011634:Public Health / Q000191:economics / Q000193:education / Q000266:history / Q000331:legislation & jurisprudence; D012111:Residence Characteristics / Q000266:history; D012923:Social Class / Q000266:history; D014504:Urban Health / Q000266:history; D014505:Urban Population / Q000266:history