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227642 Greater neighborhood travel, grocery store selection and self-reported health: Results from the Los Angeles Family and Neighborhood SurveyTuesday, November 9, 2010
: 2:45 PM - 3:00 PM
This study describes the role of spatial accessibility in the choice of self-reported grocery shopping locations in a sample of 2,430 adults from the Los Angeles Family and Neighborhood Survey (L.A. FANS). Applying a model of spatial accessibility to a subset of 900 shoppers who shopped in large markets, either at the nearest large market or the non-nearest large market, residents of very poor tracts were more likely to shop at the non-nearest large market compared to poor or non-poor tract residents. Similar to the findings of prior studies, residents of very poor Census tracts have fewer large markets in their home Census tracts. However very poor and non-poor residents on average were found to live similar distances from the nearest large markets, while poor Census tract residents live closer, on average, to large markets than either group. Disparities in spatial accessibility and components like store attractiveness were found to influence behavior. Different levels of spatial accessibility were found to result in different travel behavior patterns, which may alter the relative importance of local large grocery markets among groups with different travel behavior patterns. These results suggest an indirect rather than direct link between these local large markets and health behaviors or health outcomes. Multiple Geographic Information System (GIS) datasets were linked to create relative measures of spatial accessibility yielding the above results. This is in contrast to most studies which assume exposure is limited to Census tract boundaries or fixed distances from home.
Learning Areas:
Advocacy for health and health educationChronic disease management and prevention Environmental health sciences Planning of health education strategies, interventions, and programs Social and behavioral sciences Systems thinking models (conceptual and theoretical models), applications related to public health Learning Objectives: Keywords: Food and Nutrition, Geographic Information Systems
Presenting author's disclosure statement:
Qualified on the content I am responsible for because: I am trained in medicine, public health and urban planning and am familiar with working with datasets like those presented here. I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.
Back to: 4261.0: Obesity Prevention Policy
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