Food availability and affordability in a Mediterranean urban context: associations by store type and area-level socio-economic status.

OBJECTIVE: Although food environments have been highlighted as potentially effective targets to improve population diets, evidence on Mediterranean food environments is lacking. We examined differences in food availability and affordability in Madrid (Spain) by store type and area-level socio-economic status (SES). DESIGN: Cross-sectional study. Trained researchers conducted food store audits using the validated Nutrition Environment Measures Survey in Stores for Mediterranean contexts (NEMS-S-MED) tool to measure the availability and price of twelve food groups (specific foods = 35). We computed NEMS-S-MED scores and summarised price data with a Relative Price Index (RPI, comparing prices across stores) and an Affordability Index (normalising prices by area-level income). We compared the availability and affordability of 'healthier-less healthy' food pairs, scores between food store types (supermarkets, specialised, convenience stores and others) and area-level SES using ANOVA and multi-level regression models. SETTING: City of Madrid. 2016 and 2019 to cover a representative sample. PARTICIPANTS: Food stores within a socio-economically diverse sample of sixty-three census tracts (n 151). RESULTS: Supermarkets had higher food availability (37·5/49 NEMS-S-MED points), compared to convenience stores (13·5/49) and specialised stores (8/49). Supermarkets offered lower prices (RPI: 0·83) than specialised stores (RPI: 0·97) and convenience stores (RPI: 2·06). Both 'healthy' and 'less healthy' items were more available in supermarkets. We found no differences in food availability or price by area-level SES, but affordability was higher in higher-income areas. CONCLUSIONS: Supermarkets offered higher food availability and affordability for healthy and less healthy food items. Promoting healthy food availability through supermarkets and specialised stores and/or limiting access to convenience stores are promising policy options to achieve a healthier food environment.

Development of a Nutrition Environment Assessment Tool for Latino Ethnic Stores.

The objectives were to: (1) adapt the Nutrition Environment Measures Survey for Stores (NEMS-S) to better culturally fit small Latino grocery stores (tiendas) in Iowa; (2) assess the newly adapted Latino NEMS-S for inter-rater and test-retest reliability; and (3) compare Latino and original NEMS-S summary scores. This pilot instrument, containing culturally appropriate foods from the original NEMS-S and 2015 US Dietary Guidelines for Americans, underwent two rounds of formative evaluation. The new instrument and scoring protocol were applied to a random sample of 42 of 81 possible tiendas in Iowa. Cohen's kappa was used to assess inter-rater and test-retest reliability for availability and quality of indicator food items (total scores and food category sub scores). There were no differences in summary scores for inter-rater or test-retest reliability using paired t-tests. Inter-rater agreement was high (range 0.82-1.00; p < 0.001). Tiendas averaged 42.0 ± 7.5 of 57 possible points on the Latino NEMS-S, but only 12.0 ± 4.6 of 54 points on the original NEMS-S (p < 0.001). The Latino NEMS-S is a reliable tool for assessing the food environment within Iowa tiendas. Culturally specific instruments can describe diverse food environments more accurately and guide public health nutrition interventions within communities.

What is the availability, affordability, and quality of foods and beverages aligned with dietary guidance in Louisiana Supplemental Nutrition Assistance Program (SNAP) authorized stores?

Healthy food retail strategies are delivered by Cooperative Extension Services in Louisiana to improve public health among communities with lower income. To guide Cooperative Extension Services Programming, the aim of this study was to assess healthy food access among SNAP-authorized stores. This included comparing the availability, affordability, and quality of healthy foods sold in these stores by geography, ownership, and store type. Seventy-five Louisiana SNAP-authorized stores were selected for measurement. Between October 2019 and March 2020 (prior to the COVID-19 national emergency declaration), trained researchers used the Nutrition Environment Measures Survey in Stores (NEMS-S) to assess the availability, affordability, and quality of healthy versus less healthy foods and beverages in 42 SNAP-authorized stores, including: grocery (n = 12, 29%), convenience (n = 17, 41%), drug (n = 1, 2%), dollar (n = 11, 26%), and butcher/meat (n = 1, 2%). Multivariate analysis of variance (a priori, p < 0.05) determined if differences in total NEMS-S scores or subscores existed by geography (urban versus rural), ownership (corporate/chain versus independent), or store type. No urban/rural differences were identified. Corporate/chain SNAP-authorized stores scored higher on average than independent SNAP-authorized stores for the total NEMS-S score (17.2 versus 8.1; p = 0.009) and availability subscore (13.1 versus 6.1; p = 0.02). SNAP-authorized grocery stores scored higher than all other store types (total NEMS-S score 27.6), followed by SNAP-authorized dollar stores (total NEMS-S score 10.7), and SNAP-authorized convenience stores (total NEMS-S score 5) (p < 0.001). Louisiana Cooperative Extension Services should explore ways to scale healthy food retail strategies statewide with a specific emphasis on independent and smaller SNAP-authorized retailers.

Adaptation and Validation of the Chinese Version of the Nutrition Environment Measurement Tool for Stores.

Changes in lifestyle and food environment have created a heavy burden of obesity and chronic disease in China. However, measurements of the food environment have been rarely reported in China or other countries with similar food cultures; this measurement shortage is partially due to the lack of valid and reliable measurement tools. The aim of the present study was to adapt and validate a Chinese version of the Nutritional Environment Measurement Survey for Stores (C-NEMS-S). Categories and items of the NEMS-S were culturally adapted to fit the Chinese population and included grains, dry beans, starchy tubers, vegetables, fruits, seafood, meat and poultry, dietary oils, milk, bread, instant noodles, and beverages. A scoring sheet for each food category was created to measure availability, quality, and pricing. Then, the C-NEMS-S was validated in 10 large-sized supermarkets and 10 convenience stores in Shenyang, China. Two trained raters performed their evaluations separately at the same store. The intra-class correlation coefficient (ICC) of the availability composite score was 0.98. All food measures had a moderate or good ICC (0.41 to 1.00). The kappa for each food measure ranged from 0.52 to 1.00. C-NEMS-S was able to show the difference in healthy food availability between large-sized supermarkets and convenience stores, as well as the price differences between healthier options and regular options. Large-sized supermarkets had a significantly higher total score (p < 0.001) and healthier option availability for all food measures (all items were statistically significant (p < 0.05), except sugar-free beverages). Healthier options cost more than regular options for grains, milk, bread, and instant noodles (from 4% to 153%). The adapted C-NEMS-S can be used to measure the consumer food environment in stores in China.

Assessment of the nutrition environment in rural counties in the Deep South.

The nutrition environment, including food store type, may influence dietary choices, which in turn can affect risk of obesity and related chronic diseases such as CHD, diabetes and cancer. The objective of the present study was to elucidate the extent to which healthy foods are available and affordable in various rural food outlets. A subset of the nutrition environment was assessed using the Nutrition Environment Measures Survey in Stores (NEMS-S). The NEMS-S instrument assessed the availability and price of healthy foods (e.g. low-fat/non-fat milk, lean meats and reduced-fat dinner entrées) compared with less healthy counterparts (e.g. whole milk, non-lean meats and regular dinner entrées). The NEMS-S also assessed the quality of fresh fruits and vegetables. Availability, prices and quality of healthy foods were compared between grocery stores (n 24) and convenience stores (n 67) in nine rural counties in Alabama. Mean availability subscale score (possible range 0 to 30; higher score indicates a greater number of healthier foods were available) for grocery stores was 22·6 (sd 8·1), compared with 6·6 (sd 5·2) in convenience stores (P < 0·0001); and mean price subscale score (possible range -9 to 18; higher score indicates that healthier options were less expensive than the less healthy options) for grocery stores was 2·4 (sd 2·7), compared with 0·7 (sd 1·2) in convenience stores (P = 0·0080). Mean total NEMS-S score (possible range -9 to 54) in grocery stores was 29·8 (sd 10·9) compared with 7·3 (sd 7·1) in convenience stores (P < 0·0001). Both grocery and convenience stores could be strategic points of intervention to improve the nutrition environment in the counties that were surveyed.

The Flint Food Store Survey: combining spatial analysis with a modified Nutrition Environment Measures Survey in Stores (NEMS-S) to measure the community and consumer nutrition environments.

OBJECTIVE: The goal of the present study was to use a methodology that accurately and reliably describes the availability, price and quality of healthy foods at both the store and community levels using the Nutrition Environment Measures Survey in Stores (NEMS-S), to propose a spatial methodology for integrating these store and community data into measures for defining objective food access. SETTING: Two hundred and sixty-five retail food stores in and within 2 miles (3·2 km) of Flint, Michigan, USA, were mapped using ArcGIS mapping software. DESIGN: A survey based on the validated NEMS-S was conducted at each retail food store. Scores were assigned to each store based on a modified version of the NEMS-S scoring system and linked to the mapped locations of stores. Neighbourhood characteristics (race and socio-economic distress) were appended to each store. Finally, spatial and kernel density analyses were run on the mapped store scores to obtain healthy food density metrics. RESULTS: Regression analyses revealed that neighbourhoods with higher socio-economic distress had significantly lower dairy sub-scores compared with their lower-distress counterparts (ß coefficient=-1·3; P=0·04). Additionally, supermarkets were present only in neighbourhoods with <60 % African-American population and low socio-economic distress. Two areas in Flint had an overall NEMS-S score of 0. CONCLUSIONS: By identifying areas with poor access to healthy foods via a validated metric, this research can be used help local government and organizations target interventions to high-need areas. Furthermore, the methodology used for the survey and the mapping exercise can be replicated in other cities to provide comparable results.

Comparative performance of NEMS-S Surveys in latino food stores in the greater boston area

The dietary practices of diverse population groups, associated with the nutritional transition and the rapid demographic changes occurring globally require more attention to the food preferences of migrant groups such as Latinos living in the United States United States of America (US). This work aimed at the performance of an instrument utilized to measure availability of healthy food options in Latino stores located in the town of Somerville, state of Massachusetts. The methodology included the application of two versions: Guatemalan and US of the Nutrition Environment Measures Survey for Stores (NEMS-S), for the assessment of the availability of healthy food options in three Latino stores. Data were analyzed using descriptive statistics. The results indicated that foods sold in Latino stores were identified more successfully with the Guatemalan-NEMS-S than with the US NEMS-S. There was a general lack of healthy food options found when using the US survey, as well as a relatively narrow selection of fruits and vegetables. As conclusion, it was found that the US NEMS-S tended to identify a lower number of healthy food options, as compared to a larger number of similar options when a culturally-appropriate survey was used. These findings illustrate a manner in which a culture-specific instrument perform more appropriately than similar instruments adapted for other population groups, especially when the results are to be applied to support development of healthy food policies(AU)

Las prácticas alimentarias de diversos grupos de población, asociadas a la transición nutricional, y a los rápidos cambios demográficos que se producen a nivel mundial, exigen más atención a las preferencias alimentarias de grupos migrantes, como por ejemplo Latinos en los Estados Unidos de Norteamérica (EU). Este trabajo documenta los resultados de aplicar un instrumento para medir disponibilidad de alimentos saludables en tres tiendas latinas ubicadas en la ciudad de Somerville, estado de Massachusetts. La metodología utilizada incluyó la aplicación de dos versiones: guatemalteca y EU de la Encuesta para Medir Ambiente Nutricional en Tiendas (NEMS-S, siglas en inglés), para evaluar la disponibilidad de alimentos saludables. Los datos se analizaron con estadísticas descriptivas. Los resultados indicaron que los alimentos vendidos en las tiendas latinas fueron identificados con más acierto con el NEMS-S guatemalteco que con el NEMS-S de EU. Con este último instrumento, se obtuvo un número menor de opciones saludables y una selección limitada de frutas y de vegetales. Como conclusión, se encontró que el NEMS-S de EU identificaba un menor número de opciones de alimentos saludables, en comparación con el instrumento culturalmente apropiado. Estos hallazgos ilustran la importancia de utilizar instrumentos específicos para determinar disponibilidad de alimentos saludables, especialmente cuando los resultados se utilicen para apoyar el desarrollo de políticas alimentarias(AU)