1. Measuring the retail food environment in rural and urban North Carolina counties.
- Author
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Jilcott SB, McGuirt JT, Imai S, and Evenson KR
- Subjects
- Body Mass Index, Data Collection, Female, Food Analysis, Food Supply statistics & numerical data, Humans, Male, North Carolina, Nutrition Surveys, Reproducibility of Results, Restaurants statistics & numerical data, Commerce, Food Supply classification, Restaurants classification, Rural Population, Urban Population
- Abstract
Background: Development of accurate and sensitive methods to characterize the food environment is needed. Thus, we examined convergent and criterion validity of 2 retail food environment data sources and then examined differences in predictive validity between 3 ways of measuring the rural and urban food environment., Methods: Ten counties were selected in each of 3 North Carolina regions (n = 30). Number of fast-food restaurants and chain supermarkets were calculated using 2 data sources. Convergent validity was percent agreement between the 2 sources. Criterion validity was percent agreement between each source and the most accurate venue count. Predictive validity of food environment measures (Retail Food Environment Index, fast-food restaurants/capita, and supermarkets/capita) was calculated by associations with county-level mean-weighted body mass index (BMI)., Results: Percent agreement for fast-food restaurants ranged from 50% to 100% (mean = 87%) and for supermarkets ranged from 58% to 100% (mean = 89%). The 2 data sources had similar percent agreement with the most accurate count. Retail Food Environment Index was positively associated with BMI, while fast-food restaurants per capita were negatively associated with BMI., Conclusions: Our results lend support to studies using both food environment data sources examined.
- Published
- 2010
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