141st APHA Annual Meeting

In This section

283961
Convenience stores as a risk factor for obesity among smokers

Wednesday, November 6, 2013 : 8:38 AM - 8:56 AM

Masayoshi Oka, MES, DDes , Department of Surgery / Division of Public Health Sciences, Washington University School of Medicine, St. Louis, MO
Jeff Gill, PhD , Department of Political Science, Washington University in St. Louis, St. Louis, MO
Dorothy Hatsukami, PhD , Department of Psychiatry, University of Minnesota Medical School, Minneapolis, MN
Naomi Breslau, PhD , Department of Epidemiology, Michigan State University, East Lansing, MI
Laura Bierut, MD , Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
There has not been a study that examined the multidimensional representations of neighborhood environments with obesity, particularly among smokers. Obese smokers have higher mortality risks in the United States. In order to fill these important research gaps, we first conducted two separate robust principal component analyses to capture the variability of neighborhood built environments (i.e., unconnected streets, connected streets, and convenience stores) and neighborhood sociodemographic characteristics (i.e., neighborhood deprivation, suburbanity, and non-Hispanic homogeneity). Neighborhood built environment variables were obtained from geographic information system (ArcGIS 10), and neighborhood sociodemographic variables were obtained from the 2005-2009 American Community Survey. We then conducted a series of Bayesian multilevel logistic analysis on obesity among 1,879 smokers aged 25-44 years who lived within the St. Louis Metropolitan area between 2003 and 2007. After accounting for the gradients in suburbanity and non-Hispanic black homogeneity, the associations of neighborhood built and social environments with obesity and the racial difference in obesity among smokers were attenuated. The increase in convenience store density remained associated with higher odds of obesity [odds ratio (OR): 1.20; 95% credible interval (CI): 1.04, 1.40], and the odds of obesity among non-Hispanic black declined from 2.36 (95% CI: 1.73, 3.20) to 2.03 (95% CI: 1.39, 2.96). Bringing neighborhood deprivation, suburbanity and non-Hispanic black homogeneity into the equation provides a comprehensive examination of neighborhood environments and obesity among smokers. Because obese smokers are the high-risk populations, future efforts need to modify the concentration and in-store contents of convenience stores.

Learning Areas:
Epidemiology
Public health biology
Public health or related public policy
Public health or related research
Social and behavioral sciences

Learning Objectives:
Demonstrate the importance of examining the multidimensional representations of neighborhood built and social environments associated with obesity among smokers. Discuss the need to shift from simplistic to more complex conceptual and statistical models.

Keywords: Obesity, Urban Health

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I conceptualized the study, acquired the neighborhood level data, conducted the statistical analyses, interpreted the results, and am trained as a public health researcher in "neighborhoods and health."
Any relevant financial relationships? No

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.