Does Distance Decay Modelling of Supermarket Accessibility Predict Fruit and Vegetable Intake by Individuals in a Large Metropolitan Area?

Obesity, a risk factor for hypertension, diabetes, and other chronic diseases is influenced by geographic accessibility to supermarkets, which has been shown to affect nutritional behaviors. To determine how individual fruit and vegetable (FV) consumption was independently influenced by accessibilit...

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Bibliographic Details
Published in:Journal of health care for the poor and underserved 2013-02, Vol.24 (1), p.172-185
Main Authors: Robinson, Paul L, Dominguez, Fred, Teklehaimanot, Senait, Lee, Martin, Brown, Arleen, Goodchild, Michael, Hood, Darryl B
Format: Article
Language:English
Subjects:
Accessibility
Adolescent
Adult
African Americans
Aged
Behavior
Calibration
Chronic illnesses
Consumption
Decay
Diet - statistics & numerical data
Eating behavior
Female
Food
Food Supply - statistics & numerical data
Fruit
Fruits
Healthy food
Humans
Hypertension
Inclusive education
Male
Metropolitan areas
Middle Aged
Models, Statistical
Neighborhoods
Obesity
Obesity - epidemiology
Reproducibility of Results
Residence Characteristics - statistics & numerical data
Risk factors
Studies
Supermarkets
United States - epidemiology
Urban Population - statistics & numerical data
Urban populations
Vegetables
Young Adult
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Summary:Obesity, a risk factor for hypertension, diabetes, and other chronic diseases is influenced by geographic accessibility to supermarkets, which has been shown to affect nutritional behaviors. To determine how individual fruit and vegetable (FV) consumption was independently influenced by accessibility to supermarkets, and to quantify that relationship. A distance decay based model was specified for a random sample (n=7,514) of urban residents. Associations between FV consumption and accessibility to supermarkets were explored, controlling for factors known to influence eating behaviors. There was as independent effect of accessibility to supermarkets, even after the inclusion of the significant controlling factors of age, gender, race/ethnicity, education, marital status, and knowledge of nutritional guidelines. Our model of accessibility was an effective predictor of FV consumption in an urban population, setting the stage for inclusion of supply and demand parameters, and estimation of local factors that contribute to differential obesity rates.
ISSN:1049-2089
1548-6869
1548-6869
DOI:10.1353/hpu.2013.0049