title: Obesity and diabetes, the built environment, and the 'local' food economy in the United States, 2007.
abstract: Obesity and diabetes are increasingly attributed to environmental factors, however, little attention has been paid to the influence of the 'local' food economy. This paper examines the association of measures relating to the built environment and 'local' agriculture with U.S. county-level prevalence of obesity and diabetes. Key indicators of the 'local' food economy include the density of farmers' markets and the presence of farms with direct sales. This paper employs a robust regression estimator to account for non-normality of the data and to accommodate outliers. Overall, the built environment is associated with the prevalence of obesity and diabetes and a strong local' food economy may play an important role in prevention. Results imply considerable scope for community-level interventions.
authors.affiliation: Department of Food Economics and Marketing, University of Reading, PO Box 237, Reading RG6 6AR, UK. m.j.salois@reading.ac.uk
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Salois
mesh_terms: D000328:Adult; D000383:Agriculture / Q000191:economics / Q000706:statistics & numerical data; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000191:economics / Q000453:epidemiology*; D004779:Environment Design / Q000191:economics*; D005006:Ethnicity; D005260:Female; D005523:Food Supply / Q000191:economics* / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D018803:Models, Economic; D009765:Obesity / Q000191:economics / Q000453:epidemiology*; D011203:Poverty / Q000706:statistics & numerical data; D015995:Prevalence; D011634:Public Health / Q000191:economics* / Q000706:statistics & numerical data; D012044:Regression Analysis; D012111:Residence Characteristics; D014481:United States / Q000453:epidemiology