Food Store Choice Among Urban Slum Women Is Associated With Consumption of Energy-Dense Food

The aim of this study was to examine the associations of food store choice with food consumption among urban slum women. A cross-sectional survey was carried out among 188 urban slum women (19-50 years old) in Jakarta, Indonesia. A semiquantitative food frequency questionnaire was used to assess food consumption. Associations between food consumption and food store choice were tested by linear regression. This study found that frequencies of buying food from small shops (warung), street food vendors, and modern food stores were significantly associated with consumption of snacks, mixed dishes, and fruit respectively. In addition, buying food from traditional markets and small cafes (warung makan) was not significantly associated with particular types of food consumption. As modern food stores are rarely utilized by these women, small shops (warung) and street food vendors are likely to be important channels to improve slum dwellers' diet.

Unhealthy Fat in Street and Snack Foods in Low-Socioeconomic Settings in India: A Case Study of the Food Environments of Rural Villages and an Urban Slum

OBJECTIVE

To describe the food environment in rural villages and an urban slum setting in India with reference to commercially available unbranded packaged snacks and street foods sold by vendors, and to analyze the type and quantity of fat in these foods.

DESIGN

Cross-sectional.

SETTING

Two low-income villages in Haryana and an urban slum in Delhi.

PARTICIPANTS

Street vendors (n = 44) were surveyed and the nutritional content of snacks (n = 49) sold by vendors was analyzed.

MAIN OUTCOME MEASURES

Vendors' awareness and perception of fats and oils, as well as the type of snacks sold, along with the content and quality of fat present in the snacks.

ANALYSIS

Descriptive statistics of vendor survey and gas chromatography to measure fatty acid content in snacks.

RESULTS

A variety of snacks were sold, including those in unlabeled transparent packages and open glass jars. Mean fat content in snacks was 28.8 g per 100-g serving in rural settings and 29.6 g per 100-g serving in urban settings. Sampled oils contained high levels of saturated fats (25% to 69% total fatty acids) and trans fats (0.1% to 30% of total fatty acids).

CONCLUSIONS AND IMPLICATIONS

Interventions need to target the manufacturers of oils and fats used in freshly prepared products to improve the quality of foods available in the food environment of low-socioeconomic groups in India.

Where people shop is not associated with the nutrient quality of packaged foods for any racial-ethnic group in the United States

BACKGROUND

In the literature, it has been suggested that there are race-ethnic disparities in what Americans eat. In addition, some studies have shown that residents of African American and low-income neighborhoods have less access to grocery stores and supermarkets, which tend to stock healthier foods. However, it is unclear whether differences in food shopping patterns contribute to the poorer nutrient profile of food purchases made by racial-ethnic minorities.

OBJECTIVES

We examined whether the mix of food stores where people shop (i.e., food-shopping patterns) was associated with the nutrient profile of packaged food purchases (PFPs) and the types of foods and beverages purchased, and we determined whether these associations differ across racial-ethnic groups.

DESIGN

We used PFPs by US households (Nielsen National Consumer Panel) from 2007 to 2012 and implemented a cluster analysis to categorize households according to their food-shopping patterns. Longitudinal random-effects linear regression models were used to examine the association between food shopping patterns and the nutrient qualities and types of packaged foods and beverages purchased by race-ethnicity in US households.

RESULTS

Shopping primarily at grocery chains was not associated with a better nutrient profile of household PFPs or the food and beverages that households purchased than was shopping primarily at mass merchandisers (value-oriented stores that sell merchandise lines in multiple departments) or at a combination of large and small stores. These results were consistent across racial-ethnic groups. Regardless of where households shopped, non-Hispanic African American households purchased foods with higher energy, total sugar, and sodium densities than did non-Hispanic white and Hispanic households.

CONCLUSION

Policy initiatives that focus on increasing physical access to stores or helping stores sell healthier products to encourage healthier purchases may be ineffective because other factors may be more important determinants of food and beverage purchases than where people shop or what is available in the store.

Obesity Prevention in a City State: Lessons from New York City during the Bloomberg Administration

Objective

To illuminate the key components of multi-sector reform to address the obesogenic environment in New York City during the administration of Mayor Michael Bloomberg from 2002 to 2013, we conducted a case study consisting of interviews with and a critical analysis of the experiences of leading decision makers and implementers.

Method

Key informant interviews (N = 41) conducted in 2014 were recorded, transcribed, coded, and thematically analyzed. Participants included officials from the Health Department and other New York City Government agencies, academics, civil society members, and private sector executives.

Results

Participants described Mayor Bloomberg as a data-driven politician who wanted to improve the lives of New Yorkers. He appointed talented Commissioners and encouraged them and their staff to be bold, innovative, and collaborative. Multiple programs spanning multiple sectors, with varied approaches and targets, were supported. This study found that much of the work relied on loose coalitions across City Government, with single agencies responsible for their own agendas, some with health co-benefits. Many policies were implemented through non-legislative mechanisms such as executive orders and the Health Code. Despite support from academic and some civil society groups, strong lobbying from industry and an unfavorable media led to some reforms being modified, legally challenged or blocked completely, particularly food environment modifiers. In contrast, reforms of the physical environment were described as highly consultative across and outside government and resulted in slower but more sustained reform.

Conclusion

The Bloomberg administration was a “window of opportunity” with the imprimatur of the executive to progress a long-term, multi-faceted obesity prevention strategy, which has successfully reversed childhood trends. Through the involvement of external researchers and the extensive use of empirical data from a wide range of participants, this study offers a unique insight into the ways in which this was achieved. While some of the aspects of the reforms in New York City are unique to that setting at that time, there are important lessons that are transferable to other urban settings. These include: strong and consistent leadership; a commitment to innovative approaches and cross-sectoral collaboration; and a context to support and encourage this approach.

Geospatial analysis of food environment demonstrates associations with gestational diabetes

BACKGROUND

Gestational diabetes mellitus (GDM) is one of most common complications of pregnancy, with incidence rates varying by maternal age, race/ethnicity, obesity, parity, and family history. Given its increasing prevalence in recent decades, covariant environmental and sociodemographic factors may be additional determinants of GDM occurrence.

OBJECTIVE

We hypothesized that environmental risk factors, in particular measures of the food environment, may be a diabetes contributor. We employed geospatial modeling in a populous US county to characterize the association of the relative availability of fast food restaurants and supermarkets to GDM.

STUDY DESIGN

Utilizing a perinatal database with >4900 encoded antenatal and outcome variables inclusive of ZIP code data, 8912 consecutive pregnancies were analyzed for correlations between GDM and food environment based on countywide food permit registration data. Linkage between pregnancies and food environment was achieved on the basis of validated 5-digit ZIP code data. The prevalence of supermarkets and fast food restaurants per 100,000 inhabitants for each ZIP code were gathered from publicly available food permit sources. To independently authenticate our findings with objective data, we measured hemoglobin A1c levels as a function of geospatial distribution of food environment in a matched subset (n = 80).

RESULTS

Residence in neighborhoods with a high prevalence of fast food restaurants (fourth quartile) was significantly associated with an increased risk of developing GDM (relative to first quartile: adjusted odds ratio, 1.63; 95% confidence interval, 1.21-2.19). In multivariate analysis, this association held true after controlling for potential confounders (P = .002). Measurement of hemoglobin A1c levels in a matched subset were significantly increased in association with residence in a ZIP code with a higher fast food/supermarket ratio (n = 80, r = 0.251 P < .05).

CONCLUSION

As demonstrated by geospatial analysis, a relationship of food environment and risk for gestational diabetes was identified.

Global growth of "big box" stores and the potential impact on human health and nutrition

Despite a large body of literature on the food environment, little is known about the role of supercenters in human nutrition and health. The objectives of this review are to examine what is currently known about the association between supercenters, nutrition, and obesity, to identify how supercenters may affect disparities in food access and nutritional quality of food purchases, and to document the rapid rise of supercenters as a source of food purchases in the United States. A case study of Wal-Mart, the largest food retailer in the United States, is presented that demonstrates the major and increasing role of supercenters as a source of packaged food purchases in the United States, particularly among low-income households, as well as the role of supercenters in supplying key nutrients. Taken together, this review and case study highlight the dominant role of supercenters in the US diet and the need to better understand how supercenters can be leveraged to improve the nutritional quality of what consumers buy and eat.

Food shopping behaviors of residents in two Bronx neighborhoods

Background

Numerous researchers have documented associations between neighborhood food environments and residents' diets. However, few quantitative studies have examined the food shopping behaviors of residents in low-income neighborhoods, including the types of stores patronized and frequency of visits. This study presents findings on the food shopping behaviors of residents in the Bronx neighborhoods of West Farms and Fordham.

Methods

Street-intercept surveys were conducted in spring 2012 with residents of West Farms and Fordham as part of a broader program evaluation. The survey included questions on general food shopping behaviors including visits to neighborhood bodegas (corner stores) and supermarkets, mode of transportation to the supermarket most commonly frequented, and the primary source for purchases of fruits and vegetables.

Results

The survey was conducted with 505 respondents. The sample was 59% Hispanic and 34% black, with a median age of 45 years. Thirty-four percent of respondents had less than a high school education, 30% were high school graduates or had their GED, and 36% had attended some college. Almost all respondents (97%) shopped at supermarkets in their neighborhood; 84% usually shopped at a supermarket within their neighborhood, and 16% usually shopped at a supermarket outside of their neighborhood. Most respondents (95%) shopped at bodegas in their neighborhood, and 65% did so once per day or more.

Conclusions

Residents of these neighborhoods have high exposure to local food stores, with the vast majority of respondents shopping at neighborhood supermarkets and bodegas and almost 2 in 3 respondents going to bodegas every day. These findings demonstrate the important role of supermarkets and bodegas in local residents' shopping patterns and support the inclusion of these stores in efforts to create food environments that support and promote healthy eating.

Healthy versus Unhealthy Suppliers in Food Desert Neighborhoods: A Network Analysis of Corner Stores' Food Supplier Networks

Background: Products in corner stores may be affected by the network of suppliers from which storeowners procure food and beverages. To date, this supplier network has not been well characterized. Methods: Using network analysis, we examined the connections between corner stores (n = 24) in food deserts of Baltimore City (MD, USA) and their food/beverage suppliers (n = 42), to determine how different store and supplier characteristics correlated. Results: Food and beverage suppliers fell into two categories: Those providing primarily healthy foods/beverages (n = 15) in the healthy supplier network (HSN) and those providing primarily unhealthy food/beverages (n = 41) in the unhealthy supplier network (UHSN). Corner store connections to suppliers in the UHSN were nearly two times greater (t = 5.23, p < 0.001), and key suppliers in the UHSN core were more diverse, compared to the HSN. The UHSN was significantly more cohesive and densely connected, with corner stores sharing a greater number of the same unhealthy suppliers, compared to HSN, which was less cohesive and sparsely connected (t = 5.82; p < 0.001). Compared to African Americans, Asian and Hispanic corner storeowners had on average −1.53 (p < 0.001) fewer connections to suppliers in the HSN (p < 0.001). Conclusions: Our findings indicate clear differences between corner stores’ HSN and UHSN. Addressing ethnic/cultural differences of storeowners may also be important to consider.

Food environment and fruit and vegetable intake in a urban population: a multilevel analysis

BACKGROUND

Environmental, social and individual factors influence eating patterns, which in turn affect the risk of many chronic diseases. This study aimed to estimate associations between environmental factors and the consumption of fruit and vegetables among adults in a Brazilian urban context.

METHODS

Data from the surveillance system for risk factors for chronic diseases (VIGITEL) of Brazilian Ministry of Health were used. A cross-sectional telephone survey (VIGITEL - 2008-2010) was carried out with 5826 adults in the urban area of Belo Horizonte. Individual variables were collected. The frequency of fruit and vegetables consumption was assessed from number of servings, weekly frequency and an intake score was calculated. Georeferenced variables were used to characterize the food environment. The density of healthy food outlets (stores specialized in selling fruit and vegetables), unhealthy food outlets (bars, snack bars and food trucks/trailers) and the neighborhood family income were investigated and associated with fruit and vegetables intake score. Weighted multilevel linear regression was used to evaluate the associations between the environment variables and the fruit and vegetables intake score.

RESULTS

Higher fruit and vegetables intake scores were observed in neighborhoods with higher density of healthy food outlets and higher income. Lower scores were observed in neighborhood with higher density of unhealthy food outlets. These associations were adjusted by individual variables such as gender, age, physical activity, sugar sweetened beverages consumption, education level and smoking.

DISCUSSION

The food environment might explain some of the socioeconomic disparities with respect to healthy food intake and health outcomes. Healthy food stores are less common in socially disadvantaged neighborhoods, and therefore, healthy foods such as fruits and vegetables are less available or are of a lower quality in lower income areas.

CONCLUSION

Food environment characteristics and neighborhood socioeconomic level had significant associations with fruit and vegetable intake score. These are initial findings that require further investigation within the middle income world populations and the role of the environment with respect to both healthy and unhealthy food acquisition and intake.

The Food Environment Through the Camera Lenses of 9- to 13-Year-Olds Living in Urban, Low-Income, Midwestern Households: A Photovoice Project

OBJECTIVE

To pilot Photovoice methodology with low-income, urban 9- to 13-year-olds to gain insight about their food environment and to determine whether this methodology was engaging and acceptable to them.

METHODS

Photovoice methodology was used to allow children to represent their food environment. Twenty male and 9 female, low-income, 9- to 13-year-old children participated. Quantitative photograph analysis included quantity taken and usable internal/external and social environment and healthfulness categorizations. Qualitative analysis was conducted through open coding of interview transcripts.

RESULTS

A total of 345 usable photos were taken by the children (n = 29), depicting both healthy and unhealthy foods. Four themes were identified (1) food characteristics; (2) social environment; (3) kitchen, cooking, and dining environments; and (4) food insecurity. Unhealthy food was most readily available to children. Children reported a lack of functioning kitchen equipment and multiple physical and environmental challenges to consuming a healthy diet. Food insecurity was prevalent. Food stamps and food pantries were used to fill gaps in the home food supply.

CONCLUSIONS AND IMPLICATIONS

Photovoice can be effective in engaging children in conversation about their food environment and increases understanding of their experiences with food. Photovoice can provide insight into the household food environments. This information can be used to tailor interventions to better reflect the living environment and eating behaviors in low-income populations.

A Mixed Methods Comparison of Urban and Rural Retail Corner Stores

Efforts to transform corner stores to better meet community dietary needs have mostly occurred in urban areas but are also needed in rural areas. Given important contextual differences between urban and rural areas, it is important to increase our understanding of the elements that might translate successfully to similar interventions involving stores in more rural areas. Thus, an in-depth examination and comparison of corner stores in each setting is needed. A mixed methods approach, including windshield tours, spatial visualization with analysis of frequency distribution, and spatial regression techniques were used to compare a rural North Carolina and large urban (Los Angeles) food environment. Important similarities and differences were seen between the two settings in regards to food environment context, spatial distribution of stores, food products available, and the factors predicting corner store density. Urban stores were more likely to have fresh fruits (Pearson chi2 = 27.0423; p < 0.001) and vegetables (Pearson chi2 = 27.0423; p < 0.001). In the urban setting, corner stores in high income areas were more likely to have fresh fruit (Pearson chi2 = 6.00; p = 0.014), while in the rural setting, there was no difference between high and low income area in terms of fresh fruit availability. For the urban area, total population, no vehicle and Hispanic population were significantly positively associated (p < 0.05), and median household income (p < 0.001) and Percent Minority (p < 0.05) were significantly negatively associated with corner store count. For the rural area, total population (p < 0.05) and supermarket count were positively associated (p < 0.001), and median household income negatively associated (P < 0.001), with corner store count. Translational efforts should be informed by these findings, which might influence the success of future interventions and policies in both rural and urban contexts.

Development and Validation of a Farmers' Market Audit Tool in Rural and Urban Communities

The number of farmers' markets in the United States is growing. Although there are tools to analyze food availability at grocery stores, corner stores, and convenience stores, little research exists about the availability of food types at farmers' markets. This research developed an audit tool to measure the food environment at farmers' markets in rural and urban food environments and examined its psychometric properties, including face validity, interrater reliability, and discriminant validity. The Farmers' Market Audit Tool was reviewed by content experts, revised, and then tested in six farmers' markets by researchers across three states in 2013, including Kentucky, North Carolina, and Montana. Seven food categories were developed, including vegetables, fruits, meats, cheeses, eggs, grains, and samples. Interrater reliability was high within farmers' market across states. As expected, discriminant validity indicated a systematic disagreement within and between states due to seasonality and ability to grow different types of food across different farmers' markets. The total scores assessing the healthfulness of each farmers' market was 38 (range = 28-50). Using the Farmers' Market Audit Tool at farmers' markets is a reliable and valid method to capture the availability of food offerings.

Statistical Approaches Used to Assess the Equity of Access to Food Outlets: A Systematic Review

Background

Inequalities in eating behaviours are often linked to the types of food retailers accessible in neighbourhood environments. Numerous studies have aimed to identify if access to healthy and unhealthy food retailers is socioeconomically patterned across neighbourhoods, and thus a potential risk factor for dietary inequalities. Existing reviews have examined differences between methodologies, particularly focussing on neighbourhood and food outlet access measure definitions. However, no review has informatively discussed the suitability of the statistical methodologies employed; a key issue determining the validity of study findings. Our aim was to examine the suitability of statistical approaches adopted in these analyses.

Methods

Searches were conducted for articles published from 2000–2014. Eligible studies included objective measures of the neighbourhood food environment and neighbourhood-level socio-economic status, with a statistical analysis of the association between food outlet access and socio-economic status.

Results

Fifty-four papers were included. Outlet accessibility was typically defined as the distance to the nearest outlet from the neighbourhood centroid, or as the number of food outlets within a neighbourhood (or buffer). To assess if these measures were linked to neighbourhood disadvantage, common statistical methods included ANOVA, correlation, and Poisson or negative binomial regression. Although all studies involved spatial data, few considered spatial analysis techniques or spatial autocorrelation.

Conclusions

With advances in GIS software, sophisticated measures of neighbourhood outlet accessibility can be considered. However, approaches to statistical analysis often appear less sophisticated. Care should be taken to consider assumptions underlying the analysis and the possibility of spatially correlated residuals which could affect the results.

Defining Neighbourhoods as a Measure of Exposure to the Food Environment

Neighbourhoods are frequently used as a measure for individuals' exposure to the food environment. However, the definitions of neighbourhoods fluctuate and have not been applied consistently in previous studies. Neighbourhoods defined from a single fixed location fail to capture people's complete exposure in multiple locations, but measuring behaviour using traditional methods can be challenging. This study compares the traditional methods of measuring exposure to the food environment to methods that use data from GPS tracking. For each of the 187 participants, 11 different neighbourhoods were created in which the exposure to supermarkets and fast food outlets were measured. ANOVA, Tukey's Honestly Significant Difference (HSD) test and t-tests were performed to compare the neighbourhoods. Significant differences were found between area sizes and the exposure to supermarkets and fast food outlets for different neighbourhood types. Second, significant differences in exposure to food outlets were found between the urban and rural neighbourhoods. Neighbourhoods are clearly a diffused and blurred concept that varies in meaning depending on each person's perception and the conducted study. Complexity and heterogeneity of human mobility no longer appear to correspond to the use of residential neighbourhoods but rather emphasise the need for methods, concepts and measures of individual activity and exposure.

The relationship of the local food environment with obesity: A systematic review of methods, study quality, and results

OBJECTIVE

To examine the relationship between local food environments and obesity and assess the quality of studies reviewed.

METHODS

Systematic keyword searches identified studies from US and Canada that assessed the relationship of obesity to local food environments. We applied a quality metric based on design, exposure and outcome measurement, and analysis.

RESULTS

We identified 71 studies representing 65 cohorts. Overall, study quality was low; 60 studies were cross-sectional. Associations between food outlet availability and obesity were predominantly null. Among non-null associations, we saw a trend toward inverse associations between supermarket availability and obesity (22 negative, 4 positive, 67 null) and direct associations between fast food and obesity (29 positive, 6 negative, 71 null) in adults. We saw direct associations between fast food availability and obesity in lower income children (12 positive, 7 null). Indices including multiple food outlets were most consistently associated with obesity in adults (18 expected, 1 not expected, 17 null). Limiting to higher quality studies did not affect results.

CONCLUSIONS

Despite the large number of studies, we found limited evidence for associations between local food environments and obesity. The predominantly null associations should be interpreted cautiously due to the low quality of available studies.

Consumer support for healthy food and drink vending machines in public places

OBJECTIVE

To investigate the feasibility of introducing vending machines for healthier food into public places, and to examine the effectiveness of two front-of-pack labelling systems in the vending machine context.

METHODS

A survey was conducted with 120 students from a university and 120 employees, patients and visitors of a hospital in regional NSW, Australia. Questions explored vending machine use, attitudes towards healthier snack products and price, and the performance of front-of-pack labelling formats for vending machine products.

RESULTS

Most participants viewed the current range of snacks and drinks as "too unhealthy" (snacks 87.5%; drinks 56.7%). Nuts and muesli bars were the most liked healthier vending machine snack. Higher proportions of participants were able to identify the healthier snack in three of the five product comparisons when products were accompanied with any type of front-of-pack label (all p<0.01); however, participants were less likely to be able to identify the healthier product in the drinks comparison when a front-of-pack guide was present.

CONCLUSION

Respondents were interested in a range of healthier snacks for vending machines. Front-of-pack label formats on vending machines may assist consumers to identify healthier products.

IMPLICATIONS

Public settings, such as universities and hospitals, should support consumers to make healthy dietary choices by improving food environments.

Diabetes, obesity, and recommended fruit and vegetable consumption in relation to food environment sub-types: a cross-sectional analysis of Behavioral Risk Factor Surveillance System, United States Census, and food establishment data

BACKGROUND

Social and spatial factors are an important part of individual and community health. The objectives were to identify food establishment sub-types and evaluate prevalence of diabetes, obesity, and recommended fruit and vegetable consumption in relation to these sub-types in the Washington DC metropolitan area.

METHODS

A cross-sectional study design was used. A measure of retail food environment was calculated as the ratio of number of sources of unhealthier food options (fast food, convenience stores, and pharmacies) to healthier food options (grocery stores and specialty food stores). Two categories were created: ≤ 1.0 (healthier options) and > 1.0 (unhealthier options). k-means clustering was used to identify clusters based on proportions of grocery stores, restaurants, specialty food, fast food, convenience stores, and pharmacies. Prevalence data for county-level diabetes, obesity, and consumption of five or more fruits or vegetables per day (FV5) was obtained from the Behavioral Risk Factor Surveillance System. Multiple imputation was used to predict block-group level health outcomes with US Census demographic and economic variables as the inputs.

RESULTS

The healthier options category clustered into three sub-types: 1) specialty food, 2) grocery stores, and 3) restaurants. The unhealthier options category clustered into two sub-types: 1) convenience stores, and 2) restaurants and fast food. Within the healthier options category, diabetes prevalence in the sub-types with high restaurants (5.9 %, p = 0.002) and high specialty food (6.1 %, p = 0.002) was lower than the grocery stores sub-type (7.1 %). The high restaurants sub-type compared to the high grocery stores sub-type had significantly lower obesity prevalence (28.6 % vs. 31.2 %, p < 0.001) and higher FV5 prevalence (25.2 % vs. 23.1 %, p < 0.001). Within the larger unhealthier options category, there were no significant differences in diabetes, obesity, or higher FV5 prevalence across the two sub-types. However, restaurants (including fast food) sub-type was significantly associated with lower diabetes and obesity, and higher FV prevalence compared to grocery store sub-type.

CONCLUSIONS

These results suggest that there are sub-types within larger categories of food environments that are differentially associated with adverse health outcomes. These observations support the specific food establishment composition of an area may be an important component of the food establishment-health relationship.

A border versus non-border comparison of food environment, poverty, and ethnic composition in Texas urban settings

Purpose

The goal was to examine the relationship between the food environment and selected socioeconomic variables and ethnic/racial makeup in the eight largest urban settings in Texas so as to gain a better understanding of the relationships among Hispanic composition, poverty, and urban foodscapes, comparing border to non-border urban environments.

Methods

Census-tract level data on (a) socioeconomic factors, like percentage below the poverty line and number of households on foodstamps, and (b) ethnic variables, like percent of Mexican origin and percent foreign born, were obtained from the U.S. Census. Data at the census-tract level on the total number of healthy (e.g., supermarkets) and less-healthy (e.g., fast food outlets) food retailers were acquired from the CDC’s modified retail food environment index (mRFEI). Variation among urban settings in terms of the relationship between mRFEI scores and socioeconomic and ethnic context was tested using a mixed-effect model, and linear regression was used to identify significant factors for each urban location. A jackknife variance estimate was used to account for clustering and autocorrelation of adjacent census tracts.

Results

Average census-tract mRFEI scores exhibited comparatively small variation across Texas urban settings, while socioeconomic and ethnic factors varied significantly. The only covariates significantly associated with mRFEI score were percent foreign born and percent Mexican origin. Compared to the highest-population county (Harris, which incorporates most of Houston), the only counties that had significantly different mRFEI scores were Bexar, which is analogous to San Antonio (2.12 lower), El Paso (2.79 higher), and Neuces, which encompasses Corpus Christi (2.90 less). Significant interaction effects between mRFEI and percent foreign born (El Paso, Tarrant – Fort Worth, Travis – Austin), percent Mexican origin (Hidalgo – McAllen, El Paso, Tarrant, Travis), and percent living below the poverty line (El Paso) were observed for some urban settings. Percent foreign born and percent Mexican origin tended to be positively associated with mRFEI in some locations (Hidalgo, El Paso) and negatively associated in others (Tarrant, Travis).

Discussion

Findings are consistent with other studies that suggest the effects of Hispanic concentration on the foodscape may be positive (beneficially healthy) in border urban settings and negative in non-border. The evidence implies that the effects of Hispanic ethnic composition on the food environment are location-dependent, reflecting the unique attributes (e.g., culture, infrastructure, social networks) of specific urban settings.

Farmers' markets and the local food environment: identifying perceived accessibility barriers for SNAP consumers receiving temporary assistance for needy families (TANF) in an urban Oklahoma community

OBJECTIVE

To examine barriers to farmers' market (FM) use by Supplemental Nutrition Assistance Program (SNAP) consumers receiving Temporary Assistance for Needy Families.

DESIGN

Focus groups.

SETTING

An urban community in Oklahoma.

PARTICIPANTS

Supplemental Nutrition Assistance Program beneficiaries receiving Temporary Assistance for Needy Families (n = 64 across 8 focus groups).

PHENOMENON OF INTEREST

Perceptions about FM foods and barriers to FM use.

ANALYSIS

Transcript-based content analysis using the 5 dimensions of access framework.

RESULTS

Few participants ate fresh produce regularly and most appreciated the convenience of shopping at a supermarket. Farmers' markets were not perceived as available or accommodating to shopping needs and affordability and acceptability concerns were expressed. Few were aware of FMs that accepted SNAP. Emerging themes suggested residential segregation and cultural barriers to FM use.

CONCLUSIONS AND IMPLICATIONS

Farmers' market managers, community nutritionists, and researchers should develop interventions that correct common misperceptions about FM products, minimize access barriers, and increase awareness of SNAP payment options. Residential segregation and cultural barriers may have a role in FM use and should be explored further.

Evaluation of a pilot healthy eating intervention in restaurants and food stores of a rural community: a randomized community trial

BACKGROUND

Research suggests that the food environment influences individual eating practices. To date, little is known about effective interventions to improve the food environment of restaurants and food stores and promote healthy eating in rural communities. We tested "Waupaca Eating Smart " (WES), a pilot intervention to improve the food environment and promote healthy eating in restaurants and supermarkets of a rural community. WES focused on labeling, promoting, and increasing the availability of healthy foods.

METHODS

We conducted a randomized community trial, with two Midwestern U.S. communities randomly assigned to serve as intervention or control site. We collected process and outcome data using baseline and posttest owner and customer surveys and direct observation methods. The RE-AIM framework was used to guide the evaluation and organize the results.

RESULTS

Seven of nine restaurants and two of three food stores invited to participate in WES adopted the intervention. On a 0-4 scale, the average level of satisfaction with WES was 3.14 (SD=0.69) for restaurant managers and 3 (SD=0.0) for store managers. On average, 6.3 (SD=1.1) out of 10 possible intervention activities were implemented in restaurants and 9.0 (SD=0.0) out of 12 possible activities were implemented in food stores. One month after the end of the pilot implementation period, 5.4 (SD=1.6) and 7.5 (SD=0.7) activities were still in place at restaurants and food stores, respectively. The intervention reached 60% of customers in participating food outlets. Restaurant food environment scores improved from 13.4 to 24.1 (p < 0.01) in the intervention community and did not change significantly in the control community. Food environment scores decreased slightly in both communities. No or minimal changes in customer behaviors were observed after a 10-month implementation period.

CONCLUSION

The intervention achieved high levels of reach, adoption, implementation, and maintenance, suggesting the feasibility and acceptability of restaurant-and food store-based interventions in rural communities. Pilot outcome data indicated very modest levels of effectiveness, but additional research adequately powered to test the impact of this intervention on food environment scores and customer behaviors needs to be conducted in order to identify its potential to promote healthy eating in rural community settings.

A cross sectional study investigating the association between exposure to food outlets and childhood obesity in Leeds, UK

BACKGROUND

Current UK policy in relation to the influence of the 'food environment' on childhood obesity appears to be driven largely on assumptions or speculations because empirical evidence is lacking and findings from studies are inconsistent. The aim of this study was to investigate the number of food outlets and the proximity of food outlets in the same sample of children, without solely focusing on fast food.

METHODS

Cross sectional study over 3 years (n = 13,291 data aggregated). Body mass index (BMI) was calculated for each participant, overweight and obesity were defined as having a BMI >85(th) (sBMI 1.04) and 95(th) (sBMI 1.64) percentiles respectively (UK90 growth charts). Home and school neighbourhoods were defined as circular buffers with a 2 km Euclidean radius, centred on these locations. Commuting routes were calculated using the shortest straight line distance, with a 2 km buffer to capture varying routes. Data on food outlet locations was sourced from Leeds City Council covering the study area and mapped against postcode. Food outlets were categorised into three groups, supermarkets, takeaway and retail. Proximity to the nearest food outlet in the home and school environmental domain was also investigated. Age, gender, ethnicity and deprivation (IDACI) were included as covariates in all models.

RESULTS

There is no evidence of an association between the number of food outlets and childhood obesity in any of these environments; Home Q4 vs. Q1 OR = 1.11 (95% CI = 0.95-1.30); School Q4 vs. Q1 OR = 1.00 (95% CI 0.87 - 1.16); commute Q4 vs. Q1 OR = 0.1.00 (95% CI 0.83 - 1.20). Similarly there is no evidence of an association between the proximity to the nearest food outlet and childhood obesity in the home (OR = 0.77 [95% CI = 0.61 - 0.98]) or the school (OR = 1.01 [95% CI 0.84 - 1.23]) environment.

CONCLUSIONS

This study provides little support for the notion that exposure to food outlets in the home, school and commuting neighbourhoods increase the risk of obesity in children. It seems that the evidence is not well placed to support Governmental interventions/recommendations currently being proposed and that policy makers should approach policies designed to limit food outlets with caution.

Effect of changes to the school food environment on eating behaviours and/or body weight in children: a systematic review

Previous school obesity-prevention reviews have included multi-component interventions. Here, we aimed to review the evidence for the effect of isolated food environment interventions on both eating behaviours (including food purchasing) and/or body weight. Five electronic databases were searched (last updated 30 November 2013). Of the 1,002 unique papers identified, 55 reported on school food environment changes, based on a review of titles and abstracts. Thirty-seven further papers were excluded, for not meeting the inclusion criteria. The final selection consisted of 18 papers (14 United States, 4 United Kingdom). Two studies had a body mass index (BMI) outcome, 14 assessed purchasing or eating behaviours and two studies assessed both weight and behaviour. Seventeen of 18 papers reported a positive outcome on either BMI (or change in BMI) or the healthfulness of food sold or consumed. Two studies were rated as strong quality and 11 as weak. Only three studies included a control group. A school environment supportive of healthy eating is essential to combat heavy marketing of unhealthy food. Modification of the school food environment (including high-level policy changes at state or national level) can have a positive impact on eating behaviours. A need exists, however, for further high-quality studies.

Food environment and obesity

OBJECTIVE

The food environment plays an important and often dominant role in food choice, eating patterns, and ultimately, energy intake. The Obesity Society and the American Society for Nutrition jointly sponsored a series of reviews on topics of interest to both memberships. The goal was to consider the state of understanding on selected issues related to the food environment and obesity and to identify key knowledge gaps.

RESULTS

The first article (not necessarily of importance) targeted energy density (ED) and focuses on the role of ED in the regulation of energy intake and body weight. It offers recommendations for prioritizing research. The second article addresses economic factors and examines food and beverage purchases as a function of price changes. It concludes that targeted food taxes and subsidies alone are unlikely to substantially affect obesity. The third article concerns sweetened beverages and points out the difficulty in establishing the strength of the association between intake of sugar-sweetened beverages and weight gain and obesity. In the fourth article, the contributions of palatability and variety to eating behavior and weight are reviewed. Article five explores the influence of portion size on energy intake and weight management. It finds that consumers generally tend to eat proportionally more as portion size increases. The sixth article focuses on the efficacy and effectiveness of eating frequency manipulations for body weight management and finds that such manipulations have consistently yielded null results. Finally, article seven identifies several limitations of the existing literature regarding neighborhood access to healthy foods.

CONCLUSIONS

This series of reviews addresses important questions regarding the contribution of the food environment to obesity. Independent of physiological/genetic determinants, factors such as ED, cost, food form, palatability, variety, portion size, eating frequency, and access to healthy food are each evaluated for their role in the etiology of obesity and metabolic health. This series of reviews also identifies important gaps in knowledge.

Research issues: the food environment and obesity

"Research Issues: The Food Environment and Obesity" is an article series commissioned by the American Society for Nutrition and The Obesity Society in an attempt to consider the state of understanding on this topic and identify key knowledge gaps. Roberts and Karl focus on the role of energy density in the regulation of energy intake and body weight and offer recommendations for prioritizing research. Finkelstein et al examine food and beverage purchases as a function of price changes and conclude that targeted food taxes and subsidies alone are unlikely to substantially affect obesity. Pereira points out the difficulty in establishing the strength of the association between intake of sugar-sweetened beverages and weight gain and obesity. Johnson and Wardle review the effects of palatability and variety on eating behavior and weight. Livingstone and Pourshahidi examine the impact of portion size manipulations on energy intake and weight management and find that consumers generally tend to eat proportionally more as portion size increases. Kant focuses on the efficacy and effectiveness of eating frequency manipulation for body weight management and finds that such manipulation has consistently yielded null results. Finally, Gordon-Larsen identifies several limitations of the existing literature regarding neighborhood access to healthy foods.