Do people really know what food retailers exist in their neighborhood? Examining GIS-based and perceived presence of retail food outlets in an eight-county region of South Carolina

The association between the observed and perceived neighbourhood food environment and household food insecurity in a low-income district in Lima, Peru

The objective of the present study was to assess the association between the observed and perceived food environment and food insecurity among households with children <18 years in Lima, Peru. This was a cross-sectional study including an income-stratified random sample of households (n 329) in Villa el Salvador, a low-income district in Lima, Peru. Data were collected with a household questionnaire - including the Household Food Insecurity Access Scale (HFIAS) and the University of Pennsylvania's Perceived Nutrition Environment Survey (NEMS-P) - and a neighbourhood food outlet census, including recording of food outlets' GPS coordinates. Three-quarters of the households interviewed were food insecure. Compared with food secure households and adjusting for socio-demographic covariates, food insecure households were more likely to disagree to having easy access (OR 5⋅4; 95 % CI 2⋅1, 13⋅4), high quality (OR 3⋅1; 95 % CI 1⋅7, 5⋅5) and variety (OR 2⋅5; 95 % CI 1⋅4, 4⋅6) of fresh fruits and vegetables in their neighbourhood. About 60 % (513 out of 861) of the food outlets identified in participants' neighbourhoods were classified as fresh, including markets, bodegas, and fruit and vegetable vendors. There was no difference in distance to fresh food outlets by household food insecurity; all households were on average within 52-62 m from a fresh food outlet (~2-min walk). Despite negative perceptions of their neighbourhood food environment, food insecure households had similar physical access to fresh food sources than their food secure counterparts. Thus, changes to the food environment may not alleviate food insecurity in urban poor areas of Peru.

Examining Geographic Food Access, Food Insecurity, and Urbanicity among Diverse, Low-Income Participants in Austin, Texas

The purpose of this study was to explore the association between geographic food access and food insecurity and the potential role of race/ethnicity, income, and urbanicity among a low-income, diverse sample in Central Texas. Utilizing a cross-sectional study design, secondary data analysis of an existing cohort was used to examine the association between food insecurity; geographic food access; and sociodemographic factors of race/ethnicity, income, urbanicity, and additional covariates using binomial logistic regression models. The existing cohort was recruited from lower-income communities in Travis County, Texas. The sample (N = 393) was predominantly Hispanic, lived in urban areas, and nearly 40% were food insecure. Geographic food access was not found to be significantly associated with food insecurity. However, rural residents had greater odds of being food insecure than urban residents. Also, participants who earned USD 45,000-64,999 and over USD 65,000 had lower odds of being food insecure than participants who earned under USD 25,000. These findings add to the inconsistent literature about the association between geographic food access and food insecurity and contribute to urbanicity and income disparities in food-insecurity literature. Future work should consider urbanicity, income, and utilize community-specific data to gain greater understanding of the association between geographic food access and food insecurity.

Digitalization in Food Supply Chains: A Bibliometric Review and Key-Route Main Path Analysis

Technological advances such as blockchain, artificial intelligence, big data, social media, and geographic information systems represent a building block of the digital transformation that supports the resilience of the food supply chain (FSC) and increases its efficiency. This paper reviews the literature surrounding digitalization in FSCs. A bibliometric and key-route main path analysis was carried out to objectively and analytically uncover the knowledge development in digitalization within the context of sustainable FSCs. The research began with the selection of 2140 articles published over nearly five decades. Then, the articles were examined according to several bibliometric metrics such as year of publication, countries, institutions, sources, authors, and keywords frequency. A keyword co-occurrence network was generated to cluster the relevant literature. Findings of the review and bibliometric analysis indicate that research at the intersection of technology and the FSC has gained substantial interest from scholars. On the basis of keyword co-occurrence network, the literature is focused on the role of information communication technology for agriculture and food security, food waste and circular economy, and the merge of the Internet of Things and blockchain in the FSC. The analysis of the key-route main path uncovers three critical periods marking the development of technology-enabled FSCs. The study offers scholars a better understanding of digitalization within the agri-food industry and the current knowledge gaps for future research. Practitioners may find the review useful to remain ahead of the latest discussions of technology-enabled FSCs. To the authors’ best knowledge, the current study is one of the few endeavors to explore technology-enabled FSCs using a comprehensive sample of journal articles published during the past five decades.

A Proposed Research Agenda for Promoting Healthy Retail Food Environments in the East Asia-Pacific Region

PURPOSE OF REVIEW

This paper aimed to summarise existing literature on strategies to improve the healthiness of retail food environments in the East Asia and Pacific (EAP) region, and propose a prioritised research agenda on this topic.

RECENT FINDINGS

Little research on retail food environments has been conducted in the EAP region. Several approaches for measuring retail food environments were identified, although none have been tailored to the EAP context. A small number of policies and initiatives to promote healthy retail food environments have been implemented in EAP. Lessons learnt from successful implementation of initiatives in other regions could be applied in EAP. Retail food environments have a strong influence on food choices and health outcomes. Research can contribute to efforts to improve the healthiness of retail food environments in EAP by (1) describing the current state of retail food environments to highlight areas of good practice and concern and (2) identifying policies and initiatives that are likely to be effective, and mechanisms for their successful implementation.

Mapping Food Insecurity-Related 2-1-1 Calls in a 10-County Area of Central Texas by Zip Code: Exploring the Role of Geographic Food Access, Urbanicity and Demographic Indicators

Food insecurity is a public health issue that affects 12% of Americans. Individuals living in food insecure households are more likely to suffer from conditions such as undernutrition, obesity and chronic diseases. Food insecurity has been linked to limited geographic access to food; however, past studies have used limited measures of access which do not fully capture the nuances of community context. The purpose of this study was to explore the association between food insecurity and geographic food access by level of urbanicity. 2-1-1 calls made in 2018 in Central Texas were classified as food needs versus non-food needs. Supermarket and convenience stores were mapped using ArcGIS. Geographic food access was operationalized as the presence of supermarkets and convenience stores: within the zip code; only in neighboring zip codes; and not located within or in neighboring zip codes. Descriptive statistics and binomial logistic regression were used to examine associations between geographic access and 2-1-1 food calls, stratified by level of urbanicity. 11% of the 2-1-1 calls made in 2018 (N = 55,405) were regarding food needs. Results showed that peri-urban and rural callers living in zip codes that only had supermarkets in neighboring zip codes had greater odds of calling about food needs compared to those that had supermarkets within the zip code. These findings indicate that geographic food access is associated with food insecurity, but this relationship varies by urbanicity. Thus, the development of food insecurity mitigation programs in peri-urban and rural areas is needed.

A spatio-temporal agent-based approach for modeling the spread of zoonotic cutaneous leishmaniasis in northeast Iran

BACKGROUND

Zoonotic cutaneous leishmaniasis (ZCL) is a neglected tropical disease worldwide, especially the Middle East. Although previous works attempt to model the ZCL spread using various environmental factors, the interactions between vectors (Phlebotomus papatasi), reservoir hosts, humans, and the environment can affect its spread. Considering all of these aspects is not a trivial task.

METHODS

An agent-based model (ABM) is a relatively new approach that provides a framework for analyzing the heterogeneity of the interactions, along with biological and environmental factors in such complex systems. The objective of this research is to design and develop an ABM that uses Geospatial Information System (GIS) capabilities, biological behaviors of vectors and reservoir hosts, and an improved Susceptible-Exposed-Infected-Recovered (SEIR) epidemic model to explore the spread of ZCL. Various scenarios were implemented to analyze the future ZCL spreads in different parts of Maraveh Tappeh County, in the northeast region of Golestan Province in northeastern Iran, with alternative socio-ecological conditions.

RESULTS

The results confirmed that the spread of the disease arises principally in the desert, low altitude areas, and riverside population centers. The outcomes also showed that the restricting movement of humans reduces the severity of the transmission. Moreover, the spread of ZCL has a particular temporal pattern, since the most prevalent cases occurred in the fall. The evaluation test also showed the similarity between the results and the reported spatiotemporal trends.

CONCLUSIONS

This study demonstrates the capability and efficiency of ABM to model and predict the spread of ZCL. The results of the presented approach can be considered as a guide for public health management and controlling the vector population .

Objective Church Environment Audits and Attendee Perceptions of Healthy Eating and Physical Activity Supports within the Church Setting

Interventions in faith-based settings are increasingly popular, due to their effectiveness for improving attendee health outcomes and behaviors. Little past research has examined the important role of the church environment in individual-level outcomes using objective environmental audits. This study examined associations between the objectively measured physical church environment and attendees' perceptions of physical activity (PA) and healthy eating (HE) supports within the church environment, self-efficacy for PA and HE, and self-reported PA and HE behaviors. Data were collected via church audits and church attendee surveys in 54 churches in a rural, medically underserved county in South Carolina. Multi-level regression was used to analyze associations between the church environment and outcomes. Physical elements of churches were positively related to attendees' perceptions of church environment supports for PA (B = 0.03, 95% CI = 0.01, 0.05) and HE (B = 0.05, 95% CI = 0.01, 0.09) and there was a significant interaction between perceptions of HE supports and HE church environment. Self-efficacy and behaviors for PA and HE did not show an association with the church environment. Future research should establish a temporal relationship between the church environment and these important constructs for improving health. Future faith-based interventions should apply infrastructure changes to the church environment to influence important mediating constructs to health behavior.

GIS-Based Home Neighborhood Food Outlet Counts, Street Connectivity, and Frequency of Use of Neighborhood Restaurants and Food Stores

Researchers have linked neighborhood food availability to the overall frequency of using food outlets without noting if those outlets were within or outside of participants' neighborhoods. We aimed to examine the association of neighborhood restaurant and food store availability with frequency of use of neighborhood food outlets, and whether such an association was modified by neighborhood street connectivity using a large and diverse population-based cohort of middle-aged U.S. adults. We used self-reported frequency of use of fast food restaurants, sit-down restaurants, and grocery stores in respondents' home neighborhoods using data from the Coronary Artery Risk Development in Young Adults study Year 20 exam in 2005-2006 (n = 2860; Birmingham, AL; Chicago, IL; Minneapolis, MN; and Oakland, CA) and geographically matched GIS-measured neighborhood-level food resource, street, and U.S. Census data. We used mixed-effects logistic regression to examine the associations of the GIS-measured count of neighborhood fast food restaurants, sit-down restaurants, and grocery stores with self-reported frequency of using neighborhood restaurants and food stores and whether such associations differed by GIS-measured neighborhood street connectivity among those who perceived at least one such food outlet. In multivariate analyses, we observed a positive association between the GIS-measured count of neighborhood sit-down restaurants (OR = 1.02, 95% CI 1.00-1.04) and the self-reported frequency of using neighborhood sit-down restaurants. We observed no statistically significant association between GIS-measured count of neighborhood fast food restaurants and self-reported frequency of using neighborhood fast food restaurants, nor did we observe a statistically significant association between GIS-measured count of neighborhood grocery stores and self-reported frequency of using neighborhood grocery stores. We observed inverse associations between GIS-measured neighborhood street connectivity and the self-reported frequencies of using neighborhood fast food restaurants (OR = 0.42, 95% CI 0.26-0.68) and grocery stores (OR = - 2.26, 95% CI - 4.52 to - 0.01). Neighborhood street connectivity did not modify the association between GIS-measured neighborhood restaurant and food store count and the self-reported frequency of using neighborhood restaurants and food stores. Our findings suggest that, for those who perceived at least one sit-down restaurant in their neighborhood, individuals who have more GIS-measured sit-down restaurants in their neighborhoods reported more frequent use of sit-down restaurants than those whose neighborhoods contain fewer such restaurants. Our results also suggest that, for those who perceived at least one fast food restaurant in their neighborhood, individuals who live in neighborhoods with greater GIS-measured street connectivity reported less use of neighborhood fast food restaurants than those who live in neighborhoods with less street connectivity. The count of neighborhood sit-down restaurants and the connectivity of neighborhood street networks appear important in understanding the use of neighborhood food resources.

Living in High-SES Neighborhoods Is Protective against Obesity among Higher-Income Children but Not Low-Income Children: Results from the Healthy Communities Study

Numerous studies have focused on the role of neighborhood socioeconomic status in childhood obesity and physical activity, but few studies have examined the effect of neighborhood socioeconomic changes over time and the interaction between family and neighborhood SES on childhood obesity and physical activity. This study measured neighborhood socioeconomic histories between 2000 and 2010 and examined the associations between neighborhood socioeconomic histories and childhood obesity, as well as physical activity. The moderating role of family poverty status was also examined. Using the Healthy Communities Study (2013-2015), we measured obesity indicators (objectively measured body mass index z-score and waist circumference) and a physical activity indicator (self-reported moderate-to-vigorous physical activity) for a cohort of 4114 children. Multilevel linear regression models were used to examine the associations between neighborhood socioeconomic histories between 2000 and 2009-2013 and body-mass index z-score, waist circumference, and moderate-to-vigorous physical activity. Results showed that higher-income children in consistently high socioeconomic neighborhoods had lower measured BMIz and WC and engaged in more moderate-to-vigorous physical activity than higher-income children in consistently low socioeconomic neighborhoods. Additionally, low-income children in consistently moderate socioeconomic neighborhoods reported a lower level of moderate-to-vigorous physical activity than low-income children in consistently low socioeconomic neighborhoods. The findings indicate that considering both family and neighborhood socioeconomic status may help elucidate the underlying differences in childhood obesity and physical activity levels by socioeconomic status.

Caregiver perceptions of the neighborhood food environment and their relationship with the home food environment and childhood obesity in Northeast China

OBJECTIVE

To examine the relationships between caregiver perceptions of their neighborhood food environment and home food environment and between caregiver perceptions of neighborhood food environment and childhood obesity.

DESIGN

Cross-sectional.

SETTING

A total of twenty-six primary schools in northeast China.

PARTICIPANTS

Anthropometric measurements and questionnaire surveys were carried out on 3670 children (aged 9-12 years) and their caregivers.

RESULTS

Children of caregivers who perceived high local healthy food availability were more likely to always have fruits, vegetables, 100% juice, and low-fat milk or skim milk in their homes. Children of caregivers who perceived fast-food shopping to be easy were more likely to eat out for fast food. Children of caregivers who perceived high general access to food shopping were less likely to always have fruits, vegetables, and sugar-free breakfast in their home, and were more likely to eat out for fast food.

CONCLUSIONS

Future public health programs and interventions should take into consideration the role caregivers play in connecting neighborhood food environments with the home food environment.

Perceptions of a healthier neighborhood food environment linked to greater fruit and vegetable purchases at small and non-traditional food stores

The aim of this study was to examine associations between perceived neighborhood food environments and food purchasing at small and non-traditional food stores. Intercept interviews of 661 customers were conducted in 105 small and non-traditional food stores. We captured (1) customer perceptions of the neighborhood food environment, (2) associations between customer perceptions and store-level characteristics, and (3) customers' perceptions and shopping behaviors. Findings suggest that customers with more favorable perceptions of the neighborhood food environment were more likely to purchase fruits and vegetables, despite no significant association between perceptions of the neighborhood and objectively measured store characteristics.

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

Objective

To 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.

Design

Trained 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.

Setting

Detroit, Michigan, USA.

Participants

None.

Results

Yelp 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.

Conclusions

While 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.

Influence of the Local Food Environment on Hispanics' Perceptions of Healthy Food Access in New York City

INTRODUCTION

Studies have characterized food environments and documented its impact on access and consumption of healthy foods as well as diet-related health conditions. This study aims to characterize the local food environment in New York City's Washington Heights and Inwood community and to examine its influence on Hispanics' perceptions of healthy food access.

METHODS

Person-level local food environments were created by spatially modeling food retailers selling fresh fruits and vegetables or low-fat products within a participant's 400- and 800-m residential radius buffers. Data were analyzed using multivariate binary logistic regression.

RESULTS

Fruit/vegetable markets significantly increased participants' odds of perceiving the availability of a large selection as well as the high quality of fresh fruits and vegetables in their neighborhood. Medium-/large-size supermarkets/groceries within 400-m radius significantly increased participants' odds of perceiving the high quality of fresh fruits and vegetables in their neighborhood, whereas meat markets significantly lowered the odds. Fruit/vegetable markets and medium-/large-size supermarkets/groceries significantly increased participants' odds of perceiving the availability of a large selection of low-fat products in their neighborhood.

CONCLUSION

Study findings advance our understanding of the relationships between local food environment and perceived healthy food access among urban Hispanics.

Do 'environmental bads' such as alcohol, fast food, tobacco, and gambling outlets cluster and co-locate in more deprived areas in Glasgow City, Scotland?

This study utilised an innovative application of spatial cluster analysis to examine the socio-spatial patterning of outlets selling potentially health-damaging goods/services, such as alcohol, fast food, tobacco and gambling, within Glasgow City, Scotland. For all categories of outlets combined, numbers of clusters increased linearly from the least to the most income deprived areas (i.e. one cluster within the least deprived quintile to ten within the most deprived quintile). Co-location of individual types of outlets (alcohol, fast food, tobacco and gambling) within similar geographical areas was also evident. This type of research could influence interventions to tackle the co-occurrence of unhealthy behaviours and contribute to policies tackling higher numbers of 'environmental bads' within deprived areas.

Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Environmental Domain

BACKGROUND

There is growing interest in how environment is related to adults' weight and activity and eating behaviors. However, little is known about whether environmental factors are related to the individual variability seen in adults' intentional weight loss or maintenance outcomes.

OBJECTIVES

The environmental domain subgroup of the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project sought to identify a parsimonious set of objective and perceived neighborhood and social environment constructs and corresponding measures to include in the assessment of response to adult weight-loss treatment.

SIGNIFICANCE

Starting with the home address, the environmental domain subgroup recommended for inclusion in future weight-loss or maintenance studies constructs and measures related to walkability, perceived land use mix, food outlet accessibility (perceived and objective), perceived food availability, socioeconomics, and crime-related safety (perceived and objective) to characterize the home neighborhood environment. The subgroup also recommended constructs and measures related to social norms (perceived and objective) and perceived support to characterize an individual's social environment. The 12 neighborhood and social environment constructs and corresponding measures provide a succinct and comprehensive set to allow for more systematic examination of the impact of environment on adults' weight loss and maintenance.

Growth In SNAP Retailers Was Associated With Increased Client Enrollment In Georgia During The Great Recession

Policies to improve food accessibility in underserved areas often use direct financial incentives to attract new food retailers. Our analysis of data on the Supplemental Nutrition Assistance Program (SNAP) in Georgia before and after the Great Recession suggests that increased program enrollment improves access to food for SNAP beneficiaries by acting as an indirect subsidy to retailers. We divided food stores into four categories: large, midsize, small, and specialty retailers. Between 2008 and 2011 the number of SNAP enrollees increased by 87 percent, and between 2007 and 2014 the number of SNAP retailers in Georgia increased by 82 percent, primarily because of growth in the number of authorized small retailers. Inside metropolitan Atlanta, changes in the numbers of SNAP enrollees and authorized retailers were positively and significantly associated for small retailers. For the areas outside of metropolitan Atlanta, the association between changes in numbers of enrollees and authorized retailers was strongest for small retailers; more modest associations were also seen for large and specialty retailers. Policy makers should consider how retailers' sensitivity to and reliance on SNAP funding can be leveraged to improve not only food availability, but also access to healthy foods.

Diving into the consumer nutrition environment: A Bayesian spatial factor analysis of neighborhood restaurant environment

Neighborhood restaurant environment (NRE) plays a vital role in shaping residents' eating behaviors. While NRE 'healthfulness' is a multi-facet concept, most studies evaluate it based only on restaurant type, thus largely ignoring variations of in-restaurant features. In the few studies that do account for such features, healthfulness scores are simply averaged over accessible restaurants, thereby concealing any uncertainty that attributed to neighborhoods' size or spatial correlation. To address these limitations, this paper presents a Bayesian Spatial Factor Analysis for assessing NRE healthfulness in the city of Kitchener, Canada. Several in-restaurant characteristics are included. By treating NRE healthfulness as a spatially correlated latent variable, the adopted modeling approach can: (i) identify specific indicators most relevant to NRE healthfulness, (ii) provide healthfulness estimates for neighborhoods without accessible restaurants, and (iii) readily quantify uncertainties in the healthfulness index. Implications of the analysis for intervention program development and community food planning are discussed.

Neighborhood and Individual Sociodemographic Characteristics Associated with Disparities in Adult Obesity and Perceptions of the Home Food Environment

Purpose: Multiple studies have demonstrated significant disparities in the relationship between individual sociodemographic characteristics and risk of overweight or obesity. However, little information is available for assessing the complex associations among being overweight or obese with neighborhood and individual sociodemographic factors and the measured and perceived community food environment. Methods: Using 2014 national evaluation data from 20 communities (analyzed 2015-2016) that participated in the U.S. Centers for Disease Control and Prevention Community Transformation Grants Program, we used multilevel multivariable models to assess associations among factors at the individual, census tract, and county levels with being overweight or obese and with the perceived home food environment. Results: Individual level factors (age, sex, race/ethnicity, household income, and education) were significantly associated with the likelihood of being overweight or obese in every model tested. Census tract level poverty and education were significantly associated with the likelihood of being overweight or obese in univariate but not multivariable analyses. Perceived community food environment was a significant predictor of the perceived home food environment; the objective measure of county-level grocery store access was not. Neither perceived nor objective community food environment measures were significantly associated with overweight/obesity in multivariable analyses. Conclusion: Individual-level sociodemographic characteristics are more strongly associated with obesity-related outcomes than are area-level measures. Future interventions designed to address health equity issues in obesity among underserved populations may benefit from focusing on nutrition education tailored to individuals, to encourage purchase and consumption of healthy food. Improving healthy food availability in underserved communities may also be critical for nutrition education to have a meaningful impact.

Do GIS-derived measures of fast food retailers convey perceived fast food opportunities? Implications for food environment assessment

PURPOSE

Geographic information systems (GISs) have been used to define fast food availability, with higher availability perhaps promoting poorer quality diets. Alternative measures involve perceptions; however, few studies have examined associations between GIS-derived and perceived measures of the food environment.

METHODS

Telephone surveys of 705 participants within an eight-county region in South Carolina were analyzed using logistic regression to examine relationships between geographic presence of and distance to various types of food retailers and perceived fast food availability.

RESULTS

The mean distance to the nearest fast food restaurant was 6.1 miles, with 16% of participants having a fast food restaurant within 1 mile of home. The geographic presence of and distance to all food retailer types were significantly associated with perceived availability of fast food in unadjusted models. After adjustment, only the presence of a fast food restaurant or pharmacy was significantly associated with greater odds of higher perceived availability of fast food. Greater odds of lower perceived availability of fast food were observed with the presence of a dollar store and increasing distance to the nearest supermarket or pharmacy.

CONCLUSIONS

Measures of fast food availability, whether objective or perceived, may not be interchangeable. Researchers should carefully decide on the appropriate measurement tool-GIS-derived or perceived-in food environment studies.

Perceived and geographic food access and food security status among households with children

OBJECTIVE

To examine the association of both perceived and geographic neighbourhood food access with food security status among households with children.

DESIGN

This was a cross-sectional study in which participants' perceptions of neighbourhood food access were assessed by a standard survey instrument, and geographic food access was evaluated by distance to the nearest supermarket. Multinomial logistic regression models were used to examine the associations.

SUBJECTS

The Midlands Family Study included 544 households with children in eight counties in South Carolina, USA. Food security status among participants was classified into three categories: food secure (FS), food insecure (FI) and very low food security among children (VLFS-C).

RESULTS

Compared with FS households, VLFS-C households had lower odds of reporting easy access to adequate food shopping. VLFS-C households also had lower odds of reporting neighbourhood access to affordable fruits and vegetables compared with FS households and reported worse selection of fruits and vegetables, quality of fruits and vegetables, and selection of low-fat products. FI households had lower odds of reporting fewer opportunities to purchase fast food. None of the geographic access measures was significantly associated with food security status.

CONCLUSIONS

Caregivers with children who experienced hunger perceived that they had less access to healthy affordable food in their community, even though grocery stores were present. Approaches to improve perceived access to healthy affordable food should be considered as part of the overall approach to improving food security and eliminating child hunger.

An ecological analysis of food outlet density and prevalence of type II diabetes in South Carolina counties

Background

Studies suggest that the built environment with high numbers of fast food restaurants and convenience stores and low numbers of super stores and grocery stores are related to obesity, type II diabetes mellitus, and other chronic diseases. Since few studies assess these relationships at the county level, we aim to examine fast food restaurant density, convenience store density, super store density, and grocery store density and prevalence of type II diabetes among counties in South Carolina.

Methods

Pearson’s correlation between four types of food outlet densities- fast food restaurants, convenience stores, super stores, and grocery stores- and prevalence of type II diabetes were computed. The relationship between each of these food outlet densities were mapped with prevalence of type II diabetes, and OLS regression analysis was completed adjusting for county-level rates of obesity, physical inactivity, density of recreation facilities, unemployment, households with no car and limited access to stores, education, and race.

Results

We showed a significant, negative relationship between fast food restaurant density and prevalence of type II diabetes, and a significant, positive relationship between convenience store density and prevalence of type II diabetes. In adjusted analysis, the food outlet densities (of any type) was not associated with prevalence of type II diabetes.

Conclusions

This ecological analysis showed no associations between fast food restaurants, convenience stores, super stores, or grocery stores densities and the prevalence of type II diabetes. Consideration of environmental, social, and cultural determinants, as well as individual behaviors is needed in future research.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-015-2681-6) contains supplementary material, which is available to authorized users.

Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods

Findings from research on the association between the built environment and obesity remain equivocal but may be partly explained by differences in approaches used to characterize the built environment. Findings obtained using subjective measures may differ substantially from those measured objectively. We investigated the agreement between perceived and objectively measured obesogenic environmental features to assess (1) the extent of agreement between individual perceptions and observable characteristics of the environment and (2) the agreement between aggregated perceptions and observable characteristics, and whether this varied by type of characteristic, region or neighbourhood. Cross-sectional data from the SPOTLIGHT project (n = 6037 participants from 60 neighbourhoods in five European urban regions) were used. Residents' perceptions were self-reported, and objectively measured environmental features were obtained by a virtual audit using Google Street View. Percent agreement and Kappa statistics were calculated. The mismatch was quantified at neighbourhood level by a distance metric derived from a factor map. The extent to which the mismatch metric varied by region and neighbourhood was examined using linear regression models. Overall, agreement was moderate (agreement < 82%, kappa < 0.3) and varied by obesogenic environmental feature, region and neighbourhood. Highest agreement was found for food outlets and outdoor recreational facilities, and lowest agreement was obtained for aesthetics. In general, a better match was observed in high-residential density neighbourhoods characterized by a high density of food outlets and recreational facilities. Future studies should combine perceived and objectively measured built environment qualities to better understand the potential impact of the built environment on health, particularly in low residential density neighbourhoods.

Geographic measures of retail food outlets and perceived availability of healthy foods in neighbourhoods

OBJECTIVE

To examine associations between geographic measures of retail food outlets and perceived availability of healthy foods.

DESIGN

Cross-sectional.

SETTING

A predominantly rural, eight-county region of South Carolina, USA.

SUBJECTS

Data from 705 household shoppers were analysed using ordinary least-squares regression to examine relationships between geographic measures (presence and distance) of food outlets obtained via a geographic information system and perceived availability of healthy foods (fresh fruits and vegetables and low-fat foods).

RESULTS

The presence of a supermarket within an 8·05 km (5-mile) buffer area was significantly associated with perceived availability of healthy foods (β=1·09, P=0·025) when controlling for all other food outlet types. However, no other derived geographic presence measures were significant predictors of perceived availability of healthy foods. Distances to the nearest supermarket (β=-0·16, P=0·003), dollar and variety store (β=-0·15, P=0·005) and fast-food restaurant (β=0·11, P=0·015) were all significantly associated with perceptions of healthy food availability.

CONCLUSIONS

Our results suggest that distance to food outlets is a significant predictor of healthy food perceptions, although presence is sensitive to boundary size. Our study contributes to the understanding and improvement of techniques that characterize individuals' food options in their community.

Neighborhood fast food availability and fast food consumption

Recent nutritional and public health research has focused on how the availability of various types of food in a person's immediate area or neighborhood influences his or her food choices and eating habits. It has been theorized that people living in areas with a wealth of unhealthy fast-food options may show higher levels of fast-food consumption, a factor that often coincides with being overweight or obese. However, measuring food availability in a particular area is difficult to achieve consistently: there may be differences in the strict physical locations of food options as compared to how individuals perceive their personal food availability, and various studies may use either one or both of these measures. The aim of this study was to evaluate the association between weekly fast-food consumption and both a person's perceived availability of fast-food and an objective measure of fast-food presence - Geographic Information Systems (GIS) - within that person's neighborhood. A randomly selected population-based sample of eight counties in South Carolina was used to conduct a cross-sectional telephone survey assessing self-report fast-food consumption and perceived availability of fast food. GIS was used to determine the actual number of fast-food outlets within each participant's neighborhood. Using multinomial logistic regression analyses, we found that neither perceived availability nor GIS-based presence of fast-food was significantly associated with weekly fast-food consumption. Our findings indicate that availability might not be the dominant factor influencing fast-food consumption. We recommend using subjective availability measures and considering individual characteristics that could influence both perceived availability of fast food and its impact on fast-food consumption. If replicated, our findings suggest that interventions aimed at reducing fast-food consumption by limiting neighborhood fast-food availability might not be completely effective.