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A panel estimation of county prevalence of obesity indicates that while the percentage of the population with a completed college degree and the number of food stores available per thousand population are negatively and significantly correlated to county obesity rates, mean commuting time,...
Persistent link: https://www.econbiz.de/10010929300
A spatial panel data analysis at the county level examines how individual food consumption, recreational, and lifestyle choices ? against a backdrop of changing demographic, built environment, and policy factors ? leads to obesity. Results suggest that obesity tends to be spatially autocorrelated;...
Persistent link: https://www.econbiz.de/10010929358
A panel estimation of county prevalence of obesity indicates that while the percentage of the population with a completed college degree and the number of food stores available per thousand population are negatively and significantly correlated to county obesity rates, mean commuting time,...
Persistent link: https://www.econbiz.de/10010781375
A spatial panel data analysis at the county level examines how individual food consumption, recreational, and lifestyle choices ? against a backdrop of changing demographic, built environment, and policy factors ? leads to obesity. Results suggest that obesity tends to be spatially autocorrelated;...
Persistent link: https://www.econbiz.de/10010781396