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Background: Aspects of the food environment such as the availability of different types of food stores have recently emerged as key modifiable factors that may contribute to the increased prevalence of obesity. Given that many of these studies have derived their results based on secondary datasets and the relationship of food

Background: Aspects of the food environment such as the availability of different types of food stores have recently emerged as key modifiable factors that may contribute to the increased prevalence of obesity. Given that many of these studies have derived their results based on secondary datasets and the relationship of food stores with individual weight outcomes has been reported to vary by store type, it is important to understand the extent to which often-used secondary data correctly classify food stores. We evaluated the classification bias of food stores in Dun & Bradstreet (D&B) and InfoUSA commercial business lists.

Methods: We performed a full census in 274 randomly selected census tracts in the Chicago metropolitan area and collected detailed store attributes inside stores for classification. Store attributes were compared by classification match status and store type. Systematic classification bias by census tract characteristics was assessed in multivariate regression.

Results: D&B had a higher classification match rate than InfoUSA for supermarkets and grocery stores, while InfoUSA was higher for convenience stores. Both lists were more likely to correctly classify large supermarkets, grocery stores, and convenience stores with more cash registers and different types of service counters (supermarkets and grocery stores only). The likelihood of a correct classification match for supermarkets and grocery stores did not vary systemically by tract characteristics whereas convenience stores were more likely to be misclassified in predominately Black tracts.

Conclusion: Researches can rely on classification of food stores in commercial datasets for supermarkets and grocery stores whereas classifications for convenience and specialty food stores are subject to some systematic bias by neighborhood racial/ethnic composition.

ContributorsHan, Euna (Author) / Powell, Lisa M. (Author) / Zenk, Shannon N. (Author) / Rimkus, Leah (Author) / Ohri-Vachaspati, Punam (Author) / Chaloupka, Frank J. (Author) / College of Health Solutions (Contributor)
Created2012-04-18
Food Assistance Program Participation among US Household during COVID-19 Pandemic
Description

In the face of the coronavirus (COVID-19) pandemic, food assistance programs adapted quickly and in unprecedented ways to meet the challenges of high unemployment, disruptions in the food supply, and school closures. Supported by US Department of Agriculture’s COVID-19 program-specific waivers, some programs relaxed their eligibility criteria, while others improvised

In the face of the coronavirus (COVID-19) pandemic, food assistance programs adapted quickly and in unprecedented ways to meet the challenges of high unemployment, disruptions in the food supply, and school closures. Supported by US Department of Agriculture’s COVID-19 program-specific waivers, some programs relaxed their eligibility criteria, while others improvised on delivery modalities or temporarily increased benefits.1 To examine food assistance program participation and participant experiences during the first few months of the pandemic, we collected online survey data in July 2020 from a sample of over 1,500 U.S. households, representative of the US population. This brief summarizes participation in key food assistance programs, namely, the Supplemental Nutrition Assistance Program (SNAP), the Special Supplemental Program for Women Infants and Children (WIC), School Food Programs, as well as emergency food assistance provided through Food Pantries

Created2020-11
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Description
The U.S. Department of Agriculture’s (USDA) National School Lunch Program and School Breakfast Program provide nutritious meals to school-age children. USDA’s Community Eligibility Provision (CEP) is designed to extend the reach of these programs by allowing schools in low-income areas to provide free school meals to all students at no

The U.S. Department of Agriculture’s (USDA) National School Lunch Program and School Breakfast Program provide nutritious meals to school-age children. USDA’s Community Eligibility Provision (CEP) is designed to extend the reach of these programs by allowing schools in low-income areas to provide free school meals to all students at no cost to families. CEP has been shown to increase school meal participation, nutritional intake, academic achievement, and attendance in previous research studies. This study aims to examine the impact of long-term CEP participation on student weight outcomes. Nurse-measured height and weight data for school years 2013-14 to 2019-20 were collected from 141 K-12 public schools in four low-income cities. School-level prevalence of obesity was calculated from students’ heights and weights using the Centers for Disease Control and Prevention protocol. CEP participation for each school year was obtained from the state Department of Education. Schools in the sample began participating in CEP at different times yielding varying numbers of years of CEP exposure over the study period. Multivariable analyses examined the relationship between school CEP exposure and the prevalence of obesity, controlling for school-level covariates. Multivariable analyses showed that for every additional year of CEP participation, the school-level prevalence of obesity was 0.4% lower (p=0.018). The regression-adjusted obesity prevalence for schools that never participated in CEP was 28.0%, while the obesity prevalence for schools with 6 years of CEP participation was 25.4%. The lower prevalence of obesity in CEP-participating schools was primarily driven by elementary schools. These results suggest that the benefits of CEP participation can cumulate over time, significantly reducing school-level obesity prevalence over time.
ContributorsDykstra, Tatum Nicole (Author) / Ohri-Vachaspati, Punam (Thesis advisor) / Acciai, Francesco (Committee member) / McCoy, Maureen (Committee member) / Arizona State University (Publisher)
Created2024