Abstract
Several studies have examined associations between the food retail environment and obesity, though virtually no work has been done in the urban South, where obesity rates are among the highest in the country. This study assessed associations between access to food retail outlets and obesity in New Orleans. Data on individual characteristics and body weight were collected by telephone interviews from a random sample of adults (N = 3,925) living in New Orleans in 2004-2005. The neighborhood of each individual was geo-mapped by creating a 2-km buffer around the center point of the census tract in which they lived. Food retailer counts were created by summing the total number of each food store type and fast food establishment within this 2-km neighborhood. Hierarchical linear models assessed associations between access to food retailers and obesity status. After adjusting for individual characteristics, each additional supermarket in a respondent's neighborhood was associated with a reduced odds for obesity (OR 0.93, 95% CI 0.88-0.99). Fast food restaurant (OR 1.01, 95% CI 1.00-1.02) and convenience store (OR 1.01, 95% CI 1.00-1.02) access were each predictive of greater obesity odds. An individual's access to food stores and fast food restaurants may play a part in determining weight status. Future studies with longitudinal and experimental designs are needed to test whether modifications in the food environment may assist in the prevention of obesity.
Original language | English |
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Pages (from-to) | 771-81 |
Number of pages | 11 |
Journal | Journal of Urban Health |
Volume | 87 |
Issue number | 5 |
DOIs | |
State | Published - Aug 2010 |
Externally published | Yes |
Keywords
- Adolescent
- Adult
- Behavioral Risk Factor Surveillance System
- Body Mass Index
- Commerce/statistics & numerical data
- Fast Foods
- Female
- Food Supply/statistics & numerical data
- Humans
- Interviews as Topic
- Linear Models
- Male
- Middle Aged
- New Orleans
- Obesity/epidemiology
- Residence Characteristics/statistics & numerical data
- Restaurants/statistics & numerical data
- Urban Population/statistics & numerical data
- Young Adult