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Research Article

Child body mass index, obesity, and proximity to fast food restaurants

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Pages 60-68 | Received 15 Jul 2009, Published online: 29 Apr 2010
 

Abstract

Objectives. Using a sample of elementary and middle school students, we examined the associations between body mass index (BMI), obesity, and measures of the proximity of fast food and full service restaurants to students' residences. We controlled for socioeconomic status using a novel proxy measure based on housing values. Methods. We used BMI and obesity measures based on height and weight data collected as part of a school health assessment along with geocoded data on addresses of residences and food establishments. We constructed a proxy measure of socioeconomic status from public records of residential property assessments. These data were used to estimate logistic regression models of overweight and ordinary least squares models of BMI. Results. Students residing in homes with higher assessment values were significantly less likely to be obese, and had significantly lower BMIs. Upon controlling for socioeconomic status and other characteristics, the associations of BMI and obesity with proximity to food service establishments were reduced. Nonetheless, students who resided within one–tenth or one–quarter of a mile from a fast food restaurant had significantly higher values of BMI. The proximity of full service restaurants to residences did not have a significant positive association with either BMI or overweight. Conclusion. Public health efforts to limit access to fast food among nearby residents could have beneficial effects on child obesity. Public data on property value assessments may serve as useful approximations for socioeconomic status when address data are available.

Acknowledgements

This research was supported by the Schroeder Center for Health Policy at the Thomas Jefferson Program in Public Policy at the College of William and Mary. Carrie Daut, Brett Levanto, Daniel Maliniak, and George Thieroff provided valuable research assistance; Khalid Kheirallah provided excellent assistance with geocoding; and Rob Hicks, John McGlennon, and Tim Russell provided helpful guidance in the use of property value data. We are very grateful to the administration and staff at the schools where the student data were collected, especially Denise Corbett, and we owe thanks to Gary Hagy, Director of the Division of Food and Environmental Services at the Virginia Department of Health, for data on food establishments.

Declaration of interest: The authors report no conflicts of interest. No conflicts of interest exist between the authors of the study and any sponsors or parties involved in the research. The authors alone are responsible for the content and writing of the paper.

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