Evaluating Consumer Nutrition Environment in Food Deserts and Food Swamps

This research examines the consumer nutrition environment in the selected neighborhoods identified as food deserts, food swamps, and food oases in Austin, Texas, by considering food availability, food price, food quality, and food labeling. A food auditing instrument M-TxNEA-S (He Jin, San Marcos, TX, USA) was developed to capture the unique dietary culture and food preferences in Texas. A total of 93 food items in 14 grocery stores and supermarkets (GS) and 32 convenience stores (CS) were surveyed. The GS in food swamps and food oases were found to offer significantly more healthy foods than the CS. The availability of healthy food in the GS in the food swamps and food oases is significantly higher than that of the GS from the food deserts; CS in the three neighborhoods did not exhibit a significant difference in healthy food availability. There was no significant difference between the price for the healthy items (lower fat, lower calorie, and whole grain) and that for the regular food options. No significant difference was found for food quality or food labeling between the stores from the different types of neighborhoods. The GS in food deserts are small grocery stores carrying limited ranges of foods. The establishment of larger food stores in the food deserts might not be very rewarding, but opening more small grocery stores with healthier options may alleviate food issues.

Using social media to assess the consumer nutrition environment: comparing Yelp reviews with a direct observation audit instrument for grocery stores

ObjectiveTo examine the feasibility of using social media to assess the consumer nutrition environment by comparing sentiment expressed in Yelp reviews with information obtained from a direct observation audit instrument for grocery stores.DesignTrained raters used the Nutrition Environment Measures Survey in Stores (NEMS-S) in 100 grocery stores from July 2015 to March 2016. Yelp reviews were available for sixty-nine of these stores and were retrieved in February 2017 using the Yelp Application Program Interface. A sentiment analysis was conducted to quantify the perceptions of the consumer nutrition environment in the review text. Pearson correlation coefficients (ρ) were used to compare NEMS-S scores with Yelp review text on food availability, quality, price and shopping experience.SettingDetroit, Michigan, USA.ParticipantsNone.ResultsYelp reviews contained more comments about food availability and the overall shopping experience than food price and food quality. Negative sentiment about food prices in Yelp review text and the number of dollar signs on Yelp were positively correlated with observed food prices in stores (ρ=0·413 and 0·462, respectively). Stores with greater food availability were rated as more expensive on Yelp. Other aspects of the food store environment (e.g. overall quality and shopping experience) were captured only in Yelp.ConclusionsWhile Yelp cannot replace in-person audits for collecting detailed information on the availability, quality and cost of specific food items, Yelp holds promise as a cost-effective means to gather information on the overall cost, quality and experience of food stores, which may be relevant for nutrition outcomes.

Individual and food environmental factors: association with diet

ObjectiveTo examine the associations of individual and food environmental factors with fruit and vegetable (F&V) intake in a city in a low-to-middle-income country (LMIC).DesignCross-sectional.SettingRepresentative sample of the Brazilian Primary Care service known as the Health Academy Program (HAP) in Belo Horizonte, a Brazilian city.SubjectsUsing a conceptual model as a guide, individual and food environment data were obtained through: (i) face-to-face interviews with participants aged 20 years or older; and (ii) F&V food store audits. A broad set of individual, household, and community and consumer nutrition environment variables was investigated. Multilevel linear regression was used to quantify area-level variations in F&V intake and to estimate associations with the factors.ResultsEighteen HAP centres were selected and 2944 participants and 336 food stores were included. F&V intake varied between contexts, being higher in areas with better socio-economic conditions and food store quality, such as specialised F&V markets. Individual-level factors, including age, income, food insecurity, stage of change, self-efficacy and decisional balance, were significantly associated with F&V intake. After controlling for individual-level characteristics, greater F&V intake was also associated with higher quality of food stores.ConclusionsIn one of the first studies to comprehensively assess the food environment in an LMIC, individual-level factors accounted for the largest variation in F&V intake; however, the food environment was also important, because area-level variables explained 10·5 % of the F&V intake variation. The consumer nutrition environment was more predictive of healthy eating than was the community nutrition environment. The findings suggest new possibilities for interventions.