Cross-sector analysis of socioeconomic, racial/ethnic, and urban/rural disparities in food policy enactment in the United States.

We examined racial/ethnic, socioeconomic, and urban/rural disparities in food policy enactment across different sectors, as well as retail food access, throughout the United States. Policy and retail food store data were obtained from 443 communities as part of the Bridging the Gap Community Obesity Measures Project. Our results indicated that median household income was inversely associated with healthier retail food zoning policies in Hispanic communities, where competitive food policies for schools were also healthier and mean fruit/vegetable access in stores was higher. In contrast, income was positively associated with healthier retail food zoning in rural communities, where competitive food policies were weaker. Black communities had low scores across all policy domains. Overall, Hispanic communities had the strongest food policies across sectors. Barriers to policy adoption in both rural and Black communities must be explored further.

Associations between retail food store exterior advertisements and community demographic and socioeconomic composition.

This paper examines the association between the prevalence of various types of outdoor food and beverage advertising found on the building exteriors and properties of retail food outlets and community racial/ethnic and socioeconomic composition in a nationwide sample of food outlets in the U.S. Our major finding from multivariable analysis is that food stores in low-income communities have higher prevalence of all food and beverage ads, including those for unhealthy products such as regular soda, controlling for community racial/ethnic composition and other covariates. This adds to growing research pointing to socioeconomic disparities in food and beverage marketing exposure.

Price promotions for food and beverage products in a nationwide sample of food stores.

Food and beverage price promotions may be potential targets for public health initiatives but have not been well documented. We assessed prevalence and patterns of price promotions for food and beverage products in a nationwide sample of food stores by store type, product package size, and product healthfulness. We also assessed associations of price promotions with community characteristics and product prices. In-store data collected in 2010-2012 from 8959 food stores in 468 communities spanning 46 U.S. states were used. Differences in the prevalence of price promotions were tested across stores types, product varieties, and product package sizes. Multivariable regression analyses examined associations of presence of price promotions with community racial/ethnic and socioeconomic characteristics and with product prices. The prevalence of price promotions across all 44 products sampled was, on average, 13.4% in supermarkets (ranging from 9.1% for fresh fruits and vegetables to 18.2% for sugar-sweetened beverages), 4.5% in grocery stores (ranging from 2.5% for milk to 6.6% for breads and cereals), and 2.6% in limited service stores (ranging from 1.2% for fresh fruits and vegetables to 4.1% for breads and cereals). No differences were observed by community characteristics. Less-healthy versus more-healthy product varieties and larger versus smaller product package sizes generally had a higher prevalence of price promotion, particularly in supermarkets. On average, in supermarkets, price promotions were associated with 15.2% lower prices. The observed patterns of price promotions warrant more attention in public health food environment research and intervention.

Disparities in the Availability and Price of Low-Fat and Higher-Fat Milk in US Food Stores by Community Characteristics.

BACKGROUND: National surveillance data identify disparities in low-fat milk consumption by race/ethnicity and income. Some localized studies have shown disparities in access to low-fat milk by community characteristics. OBJECTIVE: Our aim was to assess the availability and price of low-fat and higher-fat milk in food stores throughout the United States and examine associations with community characteristics. DESIGN: We conducted a cross-sectional study involving observational data collection in 2010, 2011, and 2012. PARTICIPANTS/SETTINGS: The study included 8,959 food stores in 468 communities where nationally representative samples of students attending traditional public middle and high schools resided. MAIN OUTCOME MEASURES: We studied the availability and price of whole, 2%, 1%, and skim milk. STATISTICAL ANALYSES PERFORMED: Multivariate logistic regression and ordinary least squares regression analyses were performed. Models included store type, race/ethnicity, median household income, urbanicity, US Census division, and year of data collection. RESULTS: Less than half of all stores carried 1% and skim milk, and more than three-quarters of stores carried whole and 2% milk. Regression results indicated that the odds of carrying any type of milk were 31% to 67% lower in stores in majority black and 26% to 45% lower in other/mixed race compared with majority white communities. The odds of carrying specifically low-fat milk were 50% to 58% lower in majority Hispanic compared with majority white communities, and 32% to 44% lower in low-income compared with high-income communities. Some significant differences in milk prices by community characteristics were observed in grocery and limited-service stores. On average, low-fat milk options were more expensive in grocery stores in majority black and rural and suburban communities compared with such stores in majority white and urban communities. CONCLUSIONS: This is the first nationwide study to examine the availability and price of low-fat and higher-fat milk in food stores and show disparities in access by community characteristics. Policies and programs can play a role in increasing accessibility of low-fat milk in stores in nonwhite and low-income communities.

Prepared Food Availability in U.S. Food Stores: A National Study.

INTRODUCTION: Prepared, ready-to-eat foods comprise a significant part of Americans' diets and are increasingly obtained from food stores. Yet, little is known about the availability and healthfulness of prepared, ready-to-eat food offerings at stores. This study examines associations among community characteristics (racial/ethnic composition, poverty level, urbanicity) and availability of both healthier and less-healthy prepared foods in U.S. supermarkets, grocery stores, and convenience stores. METHODS: Observational data were collected from 4,361 stores in 317 communities spanning 42 states in 2011 and 2012. Prepared food availability was assessed via one healthier food (salads or salad bar), three less-healthy items (pizza, hot dog/hamburger, taco/burrito/taquito), and one cold sandwich item. In 2014, multivariable generalized linear models were used to test associations with community characteristics. RESULTS: Overall, 63.6% of stores sold prepared foods, with 20.0% offering prepared salads and 36.4% offering at least one less-healthy item. Rural stores were 26% less likely to carry prepared salads (prevalence ratio [PR]=0.74, 95% CI=0.62, 0.88) and 14% more likely to carry at least one less-healthy prepared food item (PR=1.14, 95% CI=1.00, 1.30). Convenience stores in high-poverty communities were less likely to carry prepared salads than those in low-poverty communities (PR=0.64, 95% CI=0.47, 0.87). Among supermarkets, prepared salads were more likely to be carried in majority-white, low-poverty communities than in non-white, high-poverty communities. CONCLUSIONS: Increasing the healthfulness of prepared foods within stores may offer an important opportunity to improve the food environment.

Child-directed marketing inside and on the exterior of fast food restaurants.

BACKGROUND: Children who eat fast food have poor diet and health outcomes. Fast food is heavily marketed to youth, and exposure to such marketing is associated with higher fast food consumption. PURPOSE: To examine the extent of child-directed marketing (CDM) inside and on the exterior of fast food restaurants. METHODS: Data were collected from 6,716 fast food restaurants located in a nationally representative sample of public middle- and high-school enrollment areas in 2010, 2011, and 2012. CDM was defined as the presence of one or more of seven components inside or on the exterior of the restaurant. Analyses were conducted in 2014. RESULTS: More than 20% of fast food restaurants used CDM inside or on their exterior. In multivariate analyses, fast food restaurants that were part of a chain, offered kids' meals, were located in middle- (compared to high)-income neighborhoods, and in rural (compared to urban) areas had significantly higher odds of using any CDM; chain restaurants and those located in majority black neighborhoods (compared to white) had significantly higher odds of having an indoor display of kids' meal toys. Compared to 2010, there was a significant decline in use of CDM in 2011, but the prevalence increased close to the 2010 level in 2012. CONCLUSIONS: CDM inside and on the exterior of fast food restaurants is prevalent in chain restaurants; majority black communities, rural areas, and middle-income communities are disproportionately exposed. The fast food industry should limit children's exposure to marketing that promotes unhealthy food choices.

Development and Reliability Testing of a Fast-Food Restaurant Observation Form.

PURPOSE: To develop a reliable observational data collection instrument to measure characteristics of the fast-food restaurant environment likely to influence consumer behaviors, including product availability, pricing, and promotion. DESIGN: The study used observational data collection. SETTING: Restaurants were in the Chicago Metropolitan Statistical Area. SUBJECTS: A total of 131 chain fast-food restaurant outlets were included. MEASURES: Interrater reliability was measured for product availability, pricing, and promotion measures on a fast-food restaurant observational data collection instrument. ANALYSIS: Analysis was done with Cohen's κ coefficient and proportion of overall agreement for categorical variables and intraclass correlation coefficient (ICC) for continuous variables. RESULTS: Interrater reliability, as measured by average κ coefficient, was .79 for menu characteristics, .84 for kids' menu characteristics, .92 for food availability and sizes, .85 for beverage availability and sizes, .78 for measures on the availability of nutrition information,.75 for characteristics of exterior advertisements, and .62 and .90 for exterior and interior characteristics measures, respectively. For continuous measures, average ICC was .88 for food pricing measures, .83 for beverage prices, and .65 for counts of exterior advertisements. CONCLUSION: Over 85% of measures demonstrated substantial or almost perfect agreement. Although some measures required revision or protocol clarification, results from this study suggest that the instrument may be used to reliably measure the fast-food restaurant environment.

Relative and absolute availability of healthier food and beverage alternatives across communities in the United States.

OBJECTIVES: We examined associations between the relative and absolute availability of healthier food and beverage alternatives at food stores and community racial/ethnic, socioeconomic, and urban-rural characteristics. METHODS: We analyzed pooled, annual cross-sectional data collected in 2010 to 2012 from 8462 food stores in 468 communities spanning 46 US states. Relative availability was the ratio of 7 healthier products (e.g., whole-wheat bread) to less healthy counterparts (e.g., white bread); we based absolute availability on the 7 healthier products. RESULTS: The mean healthier food and beverage ratio was 0.71, indicating that stores averaged 29% fewer healthier than less healthy products. Lower relative availability of healthier alternatives was associated with low-income, Black, and Hispanic communities. Small stores had the largest differences: relative availability of healthier alternatives was 0.61 and 0.60, respectively, for very low-income Black and very low-income Hispanic communities, and 0.74 for very high-income White communities. We found fewer associations between absolute availability of healthier products and community characteristics. CONCLUSIONS: Policies to improve the relative availability of healthier alternatives may be needed to improve population health and reduce disparities.

Development and reliability testing of a food store observation form.

OBJECTIVE: To develop a reliable food store observational data collection instrument to be used for measuring product availability, pricing, and promotion. DESIGN: Observational data collection. SETTING: A total of 120 food stores (26 supermarkets, 34 grocery stores, 54 gas/convenience stores, and 6 mass merchandise stores) in the Chicago metropolitan statistical area. MAIN OUTCOME MEASURES: Inter-rater reliability for product availability, pricing, and promotion measures on a food store observational data collection instrument. ANALYSIS: Cohen's kappa coefficient and proportion of overall agreement for dichotomous variables and intra-class correlation coefficient for continuous variables. RESULTS: Inter-rater reliability, as measured by average kappa coefficient, was 0.84 for food and beverage product availability measures, 0.80 for interior store characteristics, and 0.70 for exterior store characteristics. For continuous measures, average intra-class correlation coefficient was 0.82 for product pricing measures; 0.90 for counts of fresh, frozen, and canned fruit and vegetable options; and 0.85 for counts of advertisements on the store exterior and property. CONCLUSIONS AND IMPLICATIONS: The vast majority of measures demonstrated substantial or almost perfect agreement. Although some items may require revision, results suggest that the instrument may be used to reliably measure the food store environment.

Classification bias in commercial business lists for retail food stores in the U.S.

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.