The link between community risk factors and the geographic distribution of childhood obesity is not fully understood. Better understanding of the risk of childhood obesity for specific communities in the United States will help target resources to those areas where children are most at risk. In addition, leaders and advocates seek more information about where the burden of childhood obesity is the greatest. In this project, the Urban Institute will develop statistical models that will relate childhood obesity rates to various characteristics of communities to develop multivariate models that can predict the community risk of childhood obesity. Project researchers will use data on childhood obesity from the National Health and Nutrition Examination Survey, Medical Expenditures Panel Survey and National Survey of Children's Health and combine those data with data on community characteristics (such as income, employment, housing markets and housing stock) from a wide variety of sources. The models could be used to predict the risk of childhood obesity for all U.S. communities and could enable policymakers and funders to target resources to highest risk areas. The community-level information will also be useful to local advocates and officials in helping them understand local conditions and promoting solutions to childhood obesity at local levels. Project deliverables include: statistical models of the prevalence of childhood obesity as a function of risk factors in the child's community; profiles of U.S. communities based on these analyses; and a final report that shows the relative burden of childhood obesity and its risk factors in different geographic areas of the country.
Amount Awarded $175,327.00
Awarded on: 12/14/2006
Time frame: 12/15/2006 - 1/14/2008
Grant Number: 59831