A step-by-step approach to improve data quality when using commercial business lists to characterize retail food environments.

BACKGROUND: Food environment characterization in health studies often requires data on the location of food stores and restaurants. While commercial business lists are commonly used as data sources for such studies, current literature provides little guidance on how to use validation study results to make decisions on which commercial business list to use and how to maximize the accuracy of those lists. Using data from a retrospective cohort study [Weight And Veterans' Environments Study (WAVES)], we (a) explain how validity and bias information from existing validation studies (count accuracy, classification accuracy, locational accuracy, as well as potential bias by neighborhood racial/ethnic composition, economic characteristics, and urbanicity) were used to determine which commercial business listing to purchase for retail food outlet data and (b) describe the methods used to maximize the quality of the data and results of this approach. METHODS: We developed data improvement methods based on existing validation studies. These methods included purchasing records from commercial business lists (InfoUSA and Dun and Bradstreet) based on store/restaurant names as well as standard industrial classification (SIC) codes, reclassifying records by store type, improving geographic accuracy of records, and deduplicating records. We examined the impact of these procedures on food outlet counts in US census tracts. RESULTS: After cleaning and deduplicating, our strategy resulted in a 17.5% reduction in the count of food stores that were valid from those purchased from InfoUSA and 5.6% reduction in valid counts of restaurants purchased from Dun and Bradstreet. Locational accuracy was improved for 7.5% of records by applying street addresses of subsequent years to records with post-office (PO) box addresses. In total, up to 83% of US census tracts annually experienced a change (either positive or negative) in the count of retail food outlets between the initial purchase and the final dataset. DISCUSSION: Our study provides a step-by-step approach to purchase and process business list data obtained from commercial vendors. The approach can be followed by studies of any size, including those with datasets too large to process each record by hand and will promote consistency in characterization of the retail food environment across studies.

Environmental and personal correlates of physical activity and sedentary behavior in African American women: An ecological momentary assessment study.

The authors of this study examined within-person associations of environmental factors (weather, built and social environmental barriers) and personal factors (daily hassles, affect) with moderate-to-vigorous physical activity (MVPA) and sedentary behavior (SB) in African American women aged 25-64 years living in metropolitan Chicago (n = 97). In 2012-13, for seven days, women wore an accelerometer and were signaled five times per day to complete a survey covering environmental and personal factors on a study-provided smartphone. Day-level measures of each were derived, and mixed regression models were used to test associations. Poor weather was associated with a 27.3% reduction in daily MVPA. Associations between built and social environmental barriers and daily MVPA or SB were generally not statistically significant. Negative affect at the first daily signal was associated with a 38.6% decrease in subsequent daily MVPA and a 33.2-minute increase in subsequent daily SB. Each one-minute increase in MVPA during the day was associated with a 2.2% higher likelihood of positive affect at the end of the day. SB during the day was associated with lower subsequent positive affect. Real-time interventions that address overcoming poor weather and negative affect may help African American women increase MVPA and/or decrease SB.

Ecological momentary assessment of environmental and personal factors and snack food intake in African American women.

This study examined contributions of environmental and personal factors (specifically, food availability and expense, daily hassles, self-efficacy, positive and negative affect) to within-person and between-person variations in snack food intake in 100 African American women. Participants were signaled at random five times daily for seven days to complete a survey on a study-provided smartphone. Women reported consuming snack foods at 35.2% of signals. Easier food availability accounting for one's usual level was associated with higher snack food intake. Being near outlets that predominately sell snacks (e.g., convenience stores), while accounting for one's usual proximity to them, was associated with higher snack food intake. Accounting for one's usual daily hassle level, we found that on days with more frequent daily hassles snack food intake was higher. The positive association between within-person daily hassles frequency and snack food intake was stronger when foods were easily available. Public and private policies to curb ubiquitous food availability and mobile health interventions that take into account time-varying influences on food choices and provide real-time assistance in dealing with easy food availability and coping with stressors may be beneficial in improving African American women's day to day food choices.