Does exposure to the food environment differ by socioeconomic position? Comparing area-based and person-centred metrics in the Fenland Study, UK

Neighbourhood out-of-home food environment, menu healthiness, and their associations with meal purchasing and diet quality: a multiverse analysis

BACKGROUND

Governments worldwide have implemented various interventions to improve the healthiness of food offered by out-of-home outlets. However, there is limited evidence on whether healthier menus would influence individual dietary behaviours and quality. In this cross-sectional study, we investigated associations between different measures of the neighbourhood out-of-home food environment, incorporating menu healthiness, and out-of-home meal purchasing and diet quality.

METHODS

We used a sample of 3,481 adults in Great Britain (GB) with valid home postcodes from the 2021 International Food Policy Study. We linked this sample to a national database of food outlet geographical locations to characterise individuals' exposure to the out-of-home food environment. The exposure metrics included menu healthiness scores, availability, proximity, and relative composition of out-of-home food outlets in various neighbourhood buffers around the home (i.e., 500 - 1600 m). Outcomes considered were out-of-home meal consumption and overall diet quality. Using multiverse analyses, where multiple reasonable analytical choices can be tested, we investigated the associations between different exposure measures and these outcomes.

RESULTS

GB adults had access to an average of 97 (95% CI 91, 104) out-of-home food outlets within 1600 m of their homes. The number of both healthier and less healthy out-of-home food outlets was positively associated with the number of meals purchased out-of-home across all neighbourhood buffers, e.g., every 10 additional less healthy out-of-home food outlets within 500 m of the home corresponded to a 6% (95% CI = 2, 11) increase in the frequency of out-of-home meal purchases in the previous week. Proximity, relative composition, and menu healthiness of neighbourhood out-of-home outlets were not associated with out-of-home meal purchase frequency after adjusting for multiple comparisons. There were no consistent associations between out-of-home food environment exposures and diet quality.

CONCLUSION

The only aspect of the neighbourhood out-of-home food environment associated with out-of-home meal purchase frequency was the number of out-of-home food outlets. Menu healthiness of out-of-home food outlets was not associated with how often people purchased out-of-home meals or overall diet quality. Interventions focusing on mitigating the proliferation of out-of-home food outlets may be more effective in changing individual dietary behaviour than those focusing on food served.

Food Outlets in Montevideo: Implications for Retail Food Environment Research in the Majority World

OBJECTIVE

To identify food outlets in Montevideo, Uruguay and to compare the types of outlets selling different food groups across areas of the city with different socioeconomic status (SES).

DESIGN

Cross-sectional field survey of outlets selling foods and beverages conducted between September, 2023 and February, 2024.

SETTING

A sample of 106 census tracts was obtained using probability proportional to size sampling.

PARTICIPANTS

All outlets selling foods and beverages within the census tracts.

MAIN OUTCOME MEASURE

Number, density, and distribution of food outlets selling different food groups.

ANALYSIS

Kruskal-Wallis, Fisher exact test, and chi-square test of independence were used to compare outcome measures in census tracts with different SES.

RESULTS

A total of 1,217 food outlets were identified. Small stores corresponded to a relevant share of the outlets selling unprocessed foods, whereas ultraprocessed products were ubiquitous. The proportion and density of food outlets selling fruits and vegetables and fresh meat were significantly higher (P < 0.05) in low SES tracts. The distribution of outlets selling different food groups significantly (P < 0.01) differed across tracts.

CONCLUSIONS AND IMPLICATIONS

Results highlight the importance of capturing the local food sources that shape the availability of healthy and unhealthy foods in the majority world.

Food outlet availability differs according to area socioeconomic status in Denmark

BACKGROUND

Disparities in access to specific foods may contribute to inequalities in diet-related diseases seen at a global and National level.

METHODS

Based on aggregated population data on income, education, and employment, area-level socioeconomic differences in food outlet availability were analyzed for 53,368 study participants residing across parishes in the Capital Region of Denmark. Validated data on fast-food outlets, convenience stores, supermarkets, and restaurants were used. Information on individual characteristics, home address and corresponding parishes were linked to the participants through the Danish Civil Registration System. Three multilevel hurdle models were applied for each food outlet type to analyze food outlet density (count/km²) within an 800-meter network buffer around participants' homes across four levels of parish socioeconomic status (SES). Model 1 provided a basic examination of the association between density and area SES. Model 2 adjusted for individual characteristics while Model 3 further included urbanity at the area level. The structure of the chosen hurdle models included was Part (1) a logistic multilevel regression modelling the probability of food outlet presence by using the entire dataset and, Part (2) a standard linear multilevel regression modelling the 10 base logarithmic transformation of only positive food outlet densities with a lognormal distribution.

RESULTS

No statistically significant spatial patterning of food outlets across area SES was found in Model 1 and 2, however positive and strong significant odds were seen in part 1 of Model 3 for supermarkets, convenience stores and fast-food outlets. Thus, residents in more disadvantaged SES areas had higher odds of having a supermarket, convenience store, or fast-food outlet near their homes compared to those living in the most advantaged areas. No differences were seen in the density across area SES.

CONCLUSION

Area SES influenced the presence of supermarkets, convenience stores, and fast-food outlets, but not the density of these establishments.

Use of individual Google Location History data to identify consumer encounters with food outlets

BACKGROUND

Addressing key behavioral risk factors for chronic diseases, such as diet, requires innovative methods to objectively measure dietary patterns and their upstream determinants, notably the food environment. Although GIS techniques have pushed the boundaries by mapping food outlet availability, they often simplify food access dynamics to the vicinity of home addresses, possibly misclassifying neighborhood effects. Leveraging Google Location History Timeline (GLH) data offers a novel approach to assess long-term patterns of food outlet utilization at an individual level, providing insights into the relationship between food environment interactions, diet quality, and health outcomes.

METHODS

We leveraged GLH data previously collected from a sub-set of participants in the Washington State Twin Registry (WSTR). GLH included more than 287 million location records from 357 participants. We developed methods to identify visits to food outlets using outlet-specific buffer zones applied to the InfoUSA data on food outlet locations. This methodology involved the application of minimum and maximum stay durations, along with revisit intervals. We calculated metrics from the GLH data to detect frequency of visits to different food outlet classifications (e.g. grocery stores, fast food, convenience stores) important to health. Several sensitivity analyses were conducted to examine the robustness of our food outlet metrics and to examine visits occurring within 1 and 2.5 km of residential locations.

RESULTS

We identified 156,405 specific food outlet visits for the 357 study participants. 60% were full-service restaurants, 15% limited-service restaurants, and 16% supermarkets. Mean visits per person per month to any food outlet was 12.795. Only 8, 10 and 11% of full-service restaurants, limited-service restaurants, and supermarkets, respectively, occurred within 1 km of residential locations.

CONCLUSIONS

GLH data presents a novel method to assess individual-level food utilization behaviors.

The mediating role of the food environment, greenspace, and walkability in the association between socioeconomic position and type 2 diabetes - The Maastricht Study

AIMS

This study investigates the interplay between socioeconomic position (SEP), the residential food environment, walkability, greenspace, and type 2 diabetes (T2D), particularly whether the environmental factors mediate the association between SEP and T2D.

METHODS

SEP, T2D status, residential Food Environment Healthiness Index (FEHI), number of fast-food outlets (FF), walkability index (WI), and proportion of greenspace (GS) were ascertained in 9188 participants. The associations between SEP, the environment and T2D were modeled with logistic regression and survival analysis. The proportion of mediation of the association between SEP and T2D was estimated with causal mediation analysis.

RESULTS

Lower SEP was associated with higher risk of T2D. Hazard ratios (HR) were 2.03 (95 % CI 1.60-2.58), 1.79 (1.40-2.30) and 1.77 (1.21-2.58) for an interquartile range decrease (IQR) of education, income, and occupation, respectively. HRs for IQR changes of the environmental factors were: FEHI 1.20 (1.00-1.43), FF 0.87 (0.76-0.99), WI 1.23 (0.95-1.58) and GS 1.16 (0.96-1.43). Regression on prevalent T2D yielded similar results. Lower socioeconomic position was associated with a less healthy environment (e.g., FEHI -0.10 (-0.12--0.07) for education). Environmental exposures mediated between 0.1 % (-0.7-0.9) and 2.6 % (0.4-5.2) of the cross-sectional associations and 0.3 % (-8.6-8.6) and 8.5 % (2.3-27.4) of the longitudinal associations.

CONCLUSIONS

People with lower SEP had higher risk and prevalence of T2D and lived in a slightly less healthy residential environment. The association between SEP and T2D is not strongly mediated by FEHI, FF, WI, or GS.

Planning guidance to limit hot food takeaways: Understanding the possible economic impacts

Local and national policymakers are seeking innovative solutions to create healthier food environments around the world. Between 2009 and 2017, 35 local authorities across England (UK) adopted planning guidance designed to limit the proliferation of hot food takeaways near schools. Whilst these policies are intended to improve population health, they are also likely to have economic impacts. Often a decision to introduce such policies comes down to consideration of whether the short-term economic imperatives of allowing new takeaway outlets to open outweighs the potential long-term public health implications and associated economic consequences. These potential negative and positive economic impacts have not previously been clearly described and are summarised here. The aim of this paper is to provide an overview of the potential economic impacts of takeaway management zones. In particular, we present a Causal Loop Diagram (CLD) that outlines the possible economic impacts of takeaway management zones based on researcher knowledge of the interventions and the industry. Potential negative impacts fall across sectors and may include a loss of employment opportunities and reductions in local and national tax receipts, and may impact the economic vitality of local communities. In the longer term, there is the potential for positive impacts such as reductions in healthcare resource utilisation, social care expenditure and sickness-related absence from work. Part of a robust case would a better economic understanding, that would enable local authorities to improve understanding of the trade-offs associated with the policy, such as short-versus long-term, and business-related versus society-related health benefits and costs.

A cross-sectional study of the relative availability and prominence of shelf space allocated to healthy and unhealthy foods in supermarkets in urban Ireland, by area-level deprivation

BACKGROUND

Diet-related noncommunicable diseases (NCDs) are a leading cause of ill-health and death across Europe. In Ireland, dietary intakes of saturated fat, free sugar and salt exceed World Health Organization recommendations, and excess consumption follows a social gradient increasing population risk of diet-related NCDs. The retail food environment can influence consumer food choice and subsequent dietary intakes. In high income countries, supermarkets are an increasingly influential actor in consumer food availability, choice, purchase, and subsequent food intake. This study aims to assess the relative availability and prominence of healthy and unhealthy foods in Irish supermarkets, by area-level deprivation.

METHODS

This study used a cross-sectional study design, and applied a validated measure, as described in the INFORMAS Protocol: Food Retail - Food availability in supermarkets. Between October 2021 and February 2022, shelf space (m2) (height or depth (cm) × length (cm)) and prominence (visibility), of foods, classified as healthy and unhealthy and represented by a proxy indicator, were collected in supermarkets (n = 36) in County Dublin, Ireland. Overall the proportion of mean relative shelf space (m2), allocated to healthy and unhealthy foods, and its prominence, by area-level deprivation, and retailer, were determined. We used t-tests and one-way ANOVA to analyse possible differences between the proportion of relative shelf space available to healthy and unhealthy foods, and its prominence, by area-level deprivation and retailer.

RESULTS

The study found the proportion of shelf space measured allocated to unhealthy food was 68.0% (SD 10.6). Unhealthy foods were more likely to be in areas of high prominence. Overall, there was no statistically significant difference between the proportion of relative shelf space available to unhealthy foods in areas of high and low deprivation. A statistically significant difference in the proportion of relative shelf space allocated to healthy and unhealthy food by area level deprivation was found in one retailer.

CONCLUSION

Unhealthy foods had a higher proportion of shelf space and were more prominent than healthy foods in supermarkets in County Dublin, Ireland. The current availability and prominence of foods in supermarkets does not align with Food Based Dietary Guideline recommendations and does not support consumers to make healthier food choices. There is a need for supermarkets in Ireland to improve the availability and prominence of healthy foods to support consumers to make healthier food choices.

Reduced Income and Its Associations with Physical Inactivity, Unhealthy Habits, and Cardiac Complications in the Hypertensive Population

(1) Background: A low socioeconomic status significantly increases the risk of hypertension and its associated cardiovascular diseases due to limited access to healthcare and may be even more accentuated by the presence of unhealthy lifestyle habits. The aim of the present research was to study if associations exist between having a family income under the poverty threshold and having an unhealthy diet, being physically inactive, being an alcohol drinker, perceiving one's own health as bad, and suffering from congestive heart failure, coronary heart disease, angina pectoris, heart attack, or stroke. Additionally, the odds ratios of having these unhealthy habits and of suffering from the abovementioned cardiac complications of participants under the poverty threshold were calculated. (2) Methods: This cross-sectional study was based on the National Health and Nutrition Examination Survey (NHANES) 2011-2020. The sample comprised 6120 adults with hypertension (3188 males and 2932 females). A descriptive analysis and non-parametric chi-squared tests were used to study the associations. A binary logistic regression model and backward LR method were used to calculate the odds ratios, normalized by age and sex. (3) Results: The chi-squared test showed associations between having a family income under the poverty threshold and being physically inactive (p < 0.001), having an unhealthy diet (p < 0.001), being an alcohol drinker (p < 0.001), perceiving one's own health as bad (p < 0.001), and suffering from congestive heart failure (p = 0.002), heart attack (p = 0.001), or stroke (p = 0.02). A significantly increased odds ratio for these unhealthy habits and cardiac complications, and also for having coronary heart disease and angina pectoris, were found for hypertension sufferers under the poverty threshold. (4) Conclusions: It was confirmed that having a family income under the poverty threshold is associated with perceiving one's own health as bad, having a series of negative habits in terms of physical activity, diet, and alcohol consumption, and with suffering from congestive heart failure, heart attack, or stroke. Increased odds ratios for these unhealthy habits and these conditions, plus coronary heart disease and angina pectoris, were found for hypertension sufferers under the poverty threshold.

New insights into grocery store visits among east Los Angeles residents using mobility data

In this study, we employed spatially aggregated population mobility data, generated from mobile phone locations in 2021, to investigate patterns of grocery store visits among residents east and northeast of Downtown Los Angeles, in which 60% of the census tracts had previously been designated as "food deserts". Further, we examined whether the store visits varied with neighborhood sociodemographics and grocery store accessibility. We found that residents averaged 0.4 trips to grocery stores per week, with only 13% of these visits within home census tracts, and 40% within home and neighboring census tracts. The mean distance from home to grocery stores was 2.2 miles. We found that people visited grocery stores more frequently when they lived in neighborhoods with higher percentages of Hispanics/Latinos, renters and foreign-born residents, and a greater number of grocery stores. This research highlights the utility of mobility data in elucidating grocery store use, and factors that may facilitate or be a barrier to store access. The results point to limitations of using geographically constrained metrics of food access like food deserts.

Quantifying the Impact of Supermarket Distance on Childhood Obesity in Greater London, United Kingdom: Exploring Different Access Measures and Modification Effects of Transportation

Background: Healthy food access may be relevant for predicting trends in childhood obesity. The goal was to determine associations between childhood overweight (including obesity) and distance to three nearest supermarkets stratified by transportation modes (walking, cycling, driving). Methods: Bivariate and multivariate linear regressions examine the relationship with obesity, including interacting active and inactive modes. Results: Proximity to at least three supermarkets shows small but significant positive association with obesity. Walking mode showed higher obesity rates than driving, and distance was not related to the mode of travel. Conclusions: Disparities in healthy food access may not contribute meaningfully to childhood obesity, as other individual factors may be largely at play.

Exploring dark kitchens in Brazilian urban centres: A study of delivery-only restaurants with food delivery apps

Dark kitchen is a delivery-only restaurant that operates without direct contact with the consumer, has no premises for local consumption and sells exclusively through online platforms. The main objective of this work is to identify and characterise dark kitchens in three urban centres featured in the most used food delivery app in Brazil. To this end, data collection was conducted in two phases. In the first phase, through data mining, we collected information from restaurants in three cities (Limeira, Campinas and São Paulo - Brazil) that were provided in the food delivery app. A total of 22,520 establishments were searched from the central point of each of the cities. In the second phase, the first 1,000 restaurants in each city were classified as dark kitchens, standard, or undefined restaurants. A thematic content analysis was conducted to further distinguish the dark kitchen models. Of the restaurants evaluated, 1,749 (65.2%) were classified as standard restaurants, 727 (27.1%) as dark kitchens, and 206 (7.7%) as undefined. In terms of the characteristics of dark kitchens, they were more dispersed and located further away from the central points compared to standard restaurants. Meals in dark kitchens were cheaper than in standard restaurants, and had a lower number of user reviews. Most of the dark kitchens in São Paulo served Brazilian dishes, while in the smaller cities, Limeira and Campinas, it was mainly snacks and desserts. Six different models of dark kitchen were identified: Independent dark kitchen; shell-type (hub); franchise; virtual kitchen in a standard restaurant (different menu); virtual kitchen in a standard restaurant (similar menu but different name); and home-based dark kitchen. The modelling approach and methodology used to classify and identify dark kitchens is considered a contribution to science as it allows a better understanding of this fast growing sector of the food industry. This in turn can help to develop management strategies and policies for the sector. Our study is also of value to regulators to determine their proliferation through urban planning and to promote appropriate guidelines for dark kitchens as they differ from standard restaurants.

Inequalities in Environmental Cancer Risk and Carcinogen Exposures: A Scoping Review

Background: Cancer is the leading cause of death in Canada and a major cause of death worldwide. Environmental exposure to carcinogens and environments that may relate to health behaviors are important to examine as they can be modified to lower cancer risks. Built environments include aspects such as transit infrastructure, greenspace, food and tobacco environments, or land use, which may impact how people move, exercise, eat, and live. While environments may play a role in overall cancer risk, exposure to carcinogens or healthier environments is not equitably spread across space. Exposures to carcinogens commonly concentrate among socially and/or economically disadvantaged populations. While many studies have examined inequalities in exposure or cancer risk, this has commonly been for one exposure. Methods: This scoping review collected and synthesized research that examines inequities in carcinogenic environments and exposures. Results: This scoping review found that neighborhoods with higher proportions of low-income residents, racialized people, or same-sex couples had higher exposures to carcinogens and environments that may influence cancer risk. There are currently four main themes in research studying inequitable exposures: air pollution and hazardous substances, tobacco access, food access, and other aspects of the built environment, with most research still focusing on air pollution. Conclusions: More work is needed to understand how exposures to these four areas intersect with other factors to reduce inequities in exposures to support longer-term goals toward cancer prevention.

Neighborhood deprivation, built environment, and overweight in adolescents in the city of Oslo

BACKGROUND

Even though the social and built environment characteristics of neighborhoods have been studied as potential determinants of social inequalities in obesity among adults, fewer studies have focused on children. Our first aim was to investigate whether there were differences in the food and physical activity environments between different neighborhood deprivation levels in the city of Oslo. We also explored whether there was an association between the prevalence of overweight (including obesity) among adolescents and (i) neighborhood deprivation levels and (ii) food and physical activity environments of the neighborhoods they live in.

METHODS

We conducted a food and physical activity environment mapping (using ArcGIS Pro) in all neighborhoods of Oslo, which were defined by administrative boundaries (sub-districts). The neighborhood deprivation score was calculated based on the percentage of households living in poverty, unemployment in the neighborhood, and residents with low education. A cross-sectional study including 802 seventh graders from 28 primary schools in Oslo residing in 75 out of 97 sub-districts in Oslo was also performed. MANCOVA and partial correlations were ran to compare the built environment distribution between different neighborhood deprivation levels, and multilevel logistic regression analyses were used to explore the effect of neighborhood deprivation and the food and physical activity environments on childhood overweight.

RESULTS

We found that deprived neighborhoods had greater availability of fast food restaurants and fewer indoor recreational facilities compared to low-deprived neighborhoods. Additionally, we observed that the residential neighborhoods of the adolescents with overweight had greater availability of grocery and convenience stores when compared to the residential neighborhoods of the adolescents without overweight. Adolescents living in neighborhoods with high deprivation had a two-fold higher odds (95% CI = 1.1-3.8) to have overweight compared to adolescents living in neighborhoods with low deprivation, regardless of participants' ethnicity and parental education. However, the built environment did not determine the relationship between neighborhood deprivation and overweight in adolescents.

CONCLUSION

The neighborhoods in Oslo with higher deprivation levels had more obesogenic characteristics than the low-deprived neighborhoods. Adolescents living in high-deprived neighborhoods were more likely to have overweight than their counterparts from low-deprived neighborhoods. Thus, preventive measures targeting adolescents from high-deprived neighborhoods should be put in place in order to reduce incidence of overweight.

Associations between area deprivation and changes in the digital food environment during the COVID-19 pandemic: Longitudinal analysis of three online food delivery platforms

Online food delivery services facilitate access to unhealthy foods and have proliferated during the COVID-19 pandemic. This study explores associations between neighbourhood deprivation and exposure to online food delivery services and changes in exposure by deprivation during the first year of the pandemic. Data on food outlets delivering to 661 postcode districts in London and the North of England in 2020 and 2021 were collected from three online delivery platforms. The association between area deprivation and overall exposure to online food delivery services was moderated by region, with evidence of a positive relationship between count of outlets and deprivation in the North of England, and a negative relationship in London. There was no association between area deprivation and growth of online food delivery services. Associations between neighbourhood deprivation and exposure to the digital food environment vary geographically. Consequently, policies aimed at the digital food environment need to be tailored to the local context.

Investigating experiences of frequent online food delivery service use: a qualitative study in UK adults

BACKGROUND

Food prepared out-of-home is typically energy-dense and nutrient-poor. This food can be purchased from multiple types of retailer, including restaurants and takeaway food outlets. Using online food delivery services to purchase food prepared out-of-home is increasing in popularity. This may lead to more frequent unhealthy food consumption, which is positively associated with poor diet and living with obesity. Understanding possible reasons for using online food delivery services might contribute to the development of future public health interventions, if deemed necessary. This knowledge would be best obtained by engaging with individuals who use online food delivery services as part of established routines. Therefore, we aimed to investigate customer experiences of using online food delivery services to understand their reasons for using them, including any advantages and drawbacks.

METHODS AND RESULTS

In 2020, we conducted telephone interviews with 22 adults living in the UK who had used online food delivery services on at least a monthly basis over the previous year. Through codebook thematic analysis, we generated five themes: 'The importance of takeaway food', 'Less effort for more convenience', 'Saving money and reallocating time', 'Online food delivery service normalisation' and 'Maintained home food practices'. Two concepts were overarching throughout: 'Place. Time. Situation.' and 'Perceived advantages outweigh recognised drawbacks'. After considering each of the accessible food purchasing options within the context of their location and the time of day, participants typically selected online food delivery services. Participants reported that they did not use online food delivery services to purchase healthy food. Participants considered online food delivery service use to be a normal practice that involves little effort due to optimised purchasing processes. As a result, these services were seen to offer convenient access to food aligned with sociocultural expectations. Participants reported that this convenience was often an advantage but could be a drawback. Although participants were price-sensitive, they were willing to pay delivery fees for the opportunity to complete tasks whilst waiting for delivery. Furthermore, participants valued price-promotions and concluded that receiving them justified their online food delivery service use. Despite takeaway food consumption, participants considered home cooking to be irreplaceable.

CONCLUSIONS

Future public health interventions might seek to increase the healthiness of food available online whilst maintaining sociocultural values. Extending restrictions adopted in other food environments to online food delivery services could also be explored.

Understanding the Online Environment for the Delivery of Food, Alcohol and Tobacco: An Exploratory Analysis of 'Dark Kitchens' and Rapid Grocery Delivery Services

Online spaces are increasingly important in the sale of food, alcohol and tobacco. This analysis focuses on two developments in online food delivery: delivery-only 'dark kitchens' and rapid grocery delivery services (RGDS), with the aim to understand and assess the availability of health harming and health promoting products through these services. Data was collected for one metropolitan local authority in London, UK, using publicly available online sources. Being explorative in nature, the analysis includes descriptive statistics and qualitative assessment. Three dark kitchens (renting kitchens to 116 food businesses), three grocery delivery apps, and 76 grocery businesses available through online delivery platforms were identified. Most businesses renting dark kitchen space were 'virtual restaurants' (52%) selling fast food (47%) or dessert (21%) through online delivery platforms. RGDS sold a variety of items, with a focus on pre-packaged foods high in fat, salt and sugar, alcoholic beverages and tobacco. These items were also most likely to be promoted through offers and promotional language. Fruits and vegetables were less commonly available and mainly on grocery delivery apps. Online delivery services increase the temporal and geographic availability and promotion of many unhealthy products. Research expanding on the geographic area of interest is needed.

Food Sales and Adult Weight Status: Results of a Cross-Sectional Study in England

Ecological studies often use supermarket location as a proxy measure of the food environment. In this study, we used data on sales at a leading mainstream supermarket chain to explore how area-level supermarket use is associated with overweight and obesity in English adults. Sales data were aggregated to local authority level and joined to a national dataset describing self-reported height and weight and fruit and vegetable consumption. Regression models showed a modest association between higher levels of unhealthy food sales relative to health food sales and increased odds of being overweight and obese. Although effect sizes were small, they persisted after adjustment for area-level deprivation. Supermarket sales data provide additional understanding in the study of food environments and their impact on increasing weight status. Future health policies should consider using ‘big data’ combined with other research methods to address the increasing consumption of unhealthy and highly processed foods.

How Does the University Food Environment Impact Student Dietary Behaviors? A Systematic Review

The food environment has been implicated in creating an obesogenic generation; and while previous research has focused on population-wide initiatives, the university population resides in a research gap. To explore detailed components of the university food environment and what shaped dietary behaviors, we retrieved literature from the following databases: ScienceDirect, Scopus, PubMed, Medline, and EMBASE. Eleven studies were identified for qualitative content analysis and study quality assessment identified most of the studies as of good quality (n 8) and some as of fair quality (n 3). The certainty of evidence remained at a low level for all (n 11) studies due to the cross-sectional, observational nature of studies. Three major themes emerged: (1) food environment, (2) student perceptions (SPs), and (3) dietary outcome (DO). In a university food environment, the taste of food was paramount for the food choices of students, followed by the availability of food and the price of food. When university students perceive and choose foods and beverages, they sometimes regard unhealthy foods and beverages as healthy options. The diet quality of university students is more susceptible to living arrangements and socioeconomic status, but higher salt, fat, and added sugar consumption generally resulted in poorer quality of diet on campus. Future research could use novel methods to explore a wider range and deeper level of students' dietary behavior determinants in university food environments.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/, identifier: CRD42021283562.

Assessing physical access to healthy food across United Kingdom: A systematic review of measures and findings

Background

Existing research suggests that physical access to food can affect diet quality and thus obesity rates. When defining retail food environment (RFE) quantitatively, there is a little agreement on how to measure "lack of healthy food" and what parameters to use, resulting in a heterogeneity of study designs and outcome measures. In turn, this leads to a conflicting evidence base being one of the many barriers to using evidence in policy-making.

Aims

This systematic review aimed to identify and describe methods used to assess food accessibility in the United Kingdom (UK) to overcome heterogeneity by providing a classification of measures.

Materials & Methods

The literature search included electronic and manual searches of peer-reviewed literature and was restricted to studies published in English between January 2010 and March 2021. A total of 9365 articles were assessed for eligibility, of which 44 articles were included in the review. All included studies were analysed with regards to their main characteristics (e.g., associations between variables of interest, setting, sample, design, etc.) and definition of RFE and its metrics. When defining these metrics, the present review distinguishes between a point of origin (centroid, address) from which distance was calculated, summary statistic of accessibility (proximity, buffer, Kernel), and definition of distance (Euclidean, network distance). Trends, gaps and limitations are identified and recommendations made for food accessibility research in UK.

Results

Multiple theoretical and methodological constructs are currently used, mostly quantifying distance by means of Euclidean and ring-buffer distance, using both proximity- and density-based approaches, and ranging from absolute to relative measures. The association between RFE and diet and health in rural areas, as well as a spatiotemporal domain of food access, remains largely unaccounted.

Discussion

Evidence suggests that the duration of exposure may bear a greater importance than the level of exposure and that density-based measures may better capture RFE when compared with proximity-based measures, however, using more complex measures not necessarily produce better results. To move the field forward, studies have called for a greater focus on causality, individual access and the use of various measures, neighbourhood definitions and potential confounders to capture different aspects and dimensions of the RFE, which requires using univariate measures of accessibility and considering the overall context in terms of varying types of neighbourhoods.

Conclusion

In order to render ongoing heterogeneity in measuring RFE, researchers should prioritise measures that may provide a more accurate and realistic account of people's lives and follow an intuitive approach based on convergence of results until consensus could be reached on using some useful standards.

Dietary Patterns among Older People and the Associations with Social Environment and Individual Factors in Taiwan: A Multilevel Analysis

Individual factors relating to dietary behaviors are widely explored. However, the effects of social environment on dietary patterns for the older people are less explored. The purpose of this study was to identify dietary patterns among older people in Taiwan and to examine the relationship of dietary patterns with social environment and individual factors. The current study used the 2013–2016 Nutrition and Health Survey in Taiwan. The sample was representative at the national and city levels. Only those who were aged 55 years old and above were included for analysis (n = 2922); the mean age of the participants was 68.62 (SD = 8.76). The city-level data, including population characteristics, food availability, and age-friendly city indicators, were obtained from the open data and survey report of government. Three dietary patterns were identified: high protein-vegetable (41.6%), high sweets and low protein-vegetables (37.9%), and high viscera and fats (20.5%). The results of multilevel multinomial logistic regressions showed that marital status, economic status, education, drinking alcohol, dietary belief, living a the city with more food availability, and bus accessibility were related to dietary patterns. Dietary patterns are related to the individual-level factors and social environment. Healthy dietary beliefs and age-friendly environments are beneficial to promoting healthy dietary patterns.

Reverse thinking: taking a healthy diet perspective towards food systems transformations

Food systems that deliver healthy diets without exceeding the planet’s resources are essential to achieve the worlds’ ambitious development goals. Healthy diets need to be safe, accessible, and affordable for all, including for disadvantaged and nutritionally vulnerable groups such as of smallholder producers, traders, and consumers in low- and middle-income countries. Globally, food systems are experiencing rapid and drastic changes and are failing to fulfil these multiple duties simultaneously. The international community therefore calls for rigorous food systems transformations and policy solutions to support the achievement of healthy diets for all. Most strategies, however, are essentially supply- and market-oriented. Incorporation of a healthy diet perspective in food system transformation is essential to enable food systems to deliver not only on supplying nutritious foods but also on ensuring that consumers have access can afford and desire healthy, sustainable, and culturally acceptable diets. This paper argues that this should be guided by information on diets, dietary trends, consumer motives, and food environment characteristics. Transformational approaches and policies should also take into account the stage of food system development requiring different strategies to ensure healthier diets for consumers. We review current knowledge on drivers of consumer choices at the individual and food environment level with special emphasis on low- and middle income countries, discuss the converging and conflicting objectives that exist among multiple food-system actors, and argue that failure to strengthen synergies and resolve trade-offs may lead to missed opportunities and benefits, or negative unintended consequences in food system outcomes. The paper proposes a menu of promising consumer- and food-environment- oriented policy options to include in the food systems transformation agenda in order to shift LMIC consumer demand towards healthier diets in low- and middle income countries.

Overweight and obesity by school socioeconomic composition and adolescent socioeconomic status: a school-based study

BACKGROUND

The main objective of this study was to investigate the interaction effect of school socioeconomic composition (SEC) and adolescent socioeconomic status (SES) in the prevalence of overweight and obesity among a representative sample of French adolescents of the third most populous département of France.

METHODS

1038 adolescents agreed to participate (response rate: 91.4%). They self-reported anthropomorphic variables, SES, school lunch and physical activity. The body mass index was divided into six categories according to the Center for Disease Control. Multivariable binary logistic regressions analysis without and with interaction term were performed on overweight or obesity. Models fit was compared using the Aikaike Information Criterion. Odds-ratios (OR) and their 95% accelerated-bootstrap confidence interval (95%BCa CI) were computed to estimate overweight or obesity risk.

RESULTS

8.9% of the adolescents were overweight. 3.4% were obese. No school-SEC effect was observed among low-SES adolescents. Medium-SES adolescents were at greater risk in low-SEC (OR = 10.75, 95%BCa CI = 2.67-64.57) and medium-SEC (OR = 5.08, 95%BCa CI = 1.55-24.84) compared with high-SEC schools. High-SES adolescents in low-SEC schools were at greater risk compared with those in medium-SEC (OR = 5.94, 95%BCa CI = 1.94-17.29) and high-SEC schools (OR = 4.99, 95%BCa CI = 1.71-13.14). A social gradient was observed in medium-SEC (OR_low/high = 2.79, 95%BCa CI = 1.22-7.41) and high-SEC (OR_low/medium = 6.86, 95%BCa CI = 1.06-5.22*10⁶) schools.

CONCLUSIONS

Physical activity and lunch at and outside school help to understand these differences. Implications for obesity prevention initiatives are discussed.

Residents' Insights on Their Local Food Environment and Dietary Behaviors: A Cross-City Comparison Using Photovoice in Spain

Perceptions of local food environments and the ability of citizens to engage in participatory research may vary, even if participants share similar cultural and socioeconomic contexts. In this study, we aimed to describe participants’ narratives about their local food environment in two cities in Spain. We used the participatory methodology of Photovoice to engage participants in Madrid (n = 24) and Bilbao (n = 17) who took and discussed photographs about their local food environment (Madrid; n = 163 and Bilbao; n = 70). Common themes emerged across both cities (food insecurity, poverty, use of public spaces for eating and social gathering, cultural diversity and overconsumption of unhealthy foods); however, in Bilbao citizens perceived that there was sufficient availability of healthy foods despite that living in impoverished communities. Photovoice was a useful tool to engage participating citizens to improve their local food environments in both cities. This new approach allowed for a photovoice cross-city comparison that could be useful to fully understand the complexity and diversity of residents’ perceptions regardless of their place of residence.

The good, the bad, and the environment: developing an area-based measure of access to health-promoting and health-constraining environments in New Zealand

Background

Accounting for the co-occurrence of multiple environmental influences is a more accurate reflection of population exposure than considering isolated influences, aiding in understanding the complex interactions between environments, behaviour and health. This study examines how environmental ‘goods’ such as green spaces and environmental ‘bads’ such as alcohol outlets co-occur to develop a nationwide area-level healthy location index (HLI) for New Zealand.

Methods

Nationwide data were collected, processed, and geocoded on a comprehensive range of environmental exposures. Health-constraining ‘bads’ were represented by: (i) fast-food outlets, (ii) takeaway outlets, (iii) dairy outlets and convenience stores, (iv) alcohol outlets, (v) and gaming venues. Health-promoting ‘goods’ were represented by: (i) green spaces, (ii) blue spaces, (iii) physical activity facilities, (iv) fruit and vegetable outlets, and (v) supermarkets. The HLI was developed based on ranked access to environmental domains. The HLI was then used to investigate socio-spatial patterning by area-level deprivation and rural/urban classification.

Results

Results showed environmental ‘goods’ and ‘bads’ co-occurred together and were patterned by area-level deprivation. The novel HLI shows that the most deprived areas of New Zealand often have the most environmental ‘bads’ and less access to environmental ‘goods’.

Conclusions

The index, that is now publicly available, is able to capture both inter-regional and local variations in accessibility to health-promoting and health-constraining environments and their combination. Results in this study further reinforce the need to embrace the multidimensional nature of neighbourhood and place not only when designing health-promoting places, but also when studying the effect of existing built environments on population health.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12942-021-00269-x.

Shaping Physical, Economic, and Policy Components of the Food Environment to Create Sustainable Healthy Diets

Background:

Sustainable healthy diets are those dietary patterns that promote all dimensions of individuals’ health and well-being; have low environmental pressure and impact; are accessible, affordable, safe, and equitable; and are culturally acceptable. The food environment, defined as the interface between the wider food system and consumer’s food acquisition and consumption, is critical for ensuring equitable access to foods that are healthy, safe, affordable, and appealing.

Discussion:

Current food environments are creating inequities, and sustainable healthy foods are generally more accessible for those of higher socioeconomic status. The physical, economic, and policy components of the food environment can all be acted on to promote sustainable healthy diets. Physical spaces can be modified to improve relative availability (ie, proximity) of food outlets that carry nutritious foods in low-income communities; to address economic access certain actions may improve affordability, such as fortification, preventing food loss through supply chain improvements; and commodity specific vouchers for fruits, vegetables, and legumes. Other policy actions that address accessibility to sustainable healthy foods are comprehensive marketing restrictions and easy-to-understand front-of-pack nutrition labels. While shaping food environments will require concerted action from all stakeholders, governments and private sector bear significant responsibility for ensuring equitable access to sustainable healthy diets.

Urban environment and dietary behaviours as perceived by residents living in socioeconomically diverse neighbourhoods: A qualitative study in a Mediterranean context

Scholars have determined that low socioeconomic status (SES) is associated with unhealthy dietary behaviours and that local food environments shape food inequality. Less is known about how residents' perceptions of their food environment affect their dietary behaviours. We conducted 37 semistructured interviews and 29 focus groups in three socioeconomically distinct neighbourhoods in Madrid. We identified the following main categories related to social and physical food environments: (a) perceptions of healthy and unhealthy dietary behaviours, (b) children's relationships with food, (c) precariousness and (d) residential food retailer types. Older adults were perceived as healthier consumers, whereas younger people were identified as fast-food consumers. In the low- and middle-SES neighbourhoods, residents saw home-cooked legume-based stews as healthy food. In the high-SES neighbourhood, television cooking programs were highlighted as a positive influence. In the low- and middle-SES neighbourhoods, grandparents played an essential role in the transmission of healthy eating habits to their grandchildren. In the high-SES neighbourhood, children's diets at home were determined by school menus. In the low- and middle-SES neighbourhoods, participants talked about a black market where food could be purchased. Food retailers with low-quality foods were also highlighted. In all neighbourhoods, residents missed traditional food stores, and in the low- and middle-SES neighbourhoods, immigrant-run food stores were not well accepted. Our study presents the concepts shaping how neighbourhood SES differences affect dietary behaviours according to residents of a large Mediterranean city.

Foodscape: A scoping review and a research agenda for food security-related studies

Since 1995, the term 'foodscape', a contraction of food and landscape, has been used in various research addressing social and spatial disparities in public health and food systems. This article presents a scoping review of the literature examining how this term is employed and framed. We searched publications using the term foodscape in the Web of Science Core Collection, MEDLINE, and Scopus databases. Analyzing 140 publications, we highlight four approaches to the foodscape: (i) Spatial approaches use statistics and spatial analysis to characterize the diversity of urban foodscapes and their impacts on diet and health, at city or neighborhood scales. (ii) Social and cultural approaches at the same scales show that foodscapes are socially shaped and highlight structural inequalities by combining qualitative case studies and quantitative surveys of food procurement practices. (iii) Behavioral approaches generally focus on indoor micro-scales, showing how consumer perceptions of foodscapes explain and determine food behaviors and food education. (iv) Systemic approaches contest the global corporate food regime and promote local, ethical, and sustainable food networks. Thus, although spatial analysis was the first approach to foodscapes, sociocultural, behavioral and systemic approaches are becoming more common. In the spatial approach, the term 'foodscape' is synonymous with 'food environment'. In the three other approaches, 'foodscape' and 'food environment' are not synonymous. Scholars consider that the foodscape is not an environment external to individuals but a landscape including, perceived, and socially shaped by individuals and policies. They share a systemic way of thinking, considering culture and experience of food as key to improving our understanding of how food systems affect people. Foodscape studies principally address three issues: public health, social justice, and sustainability. The review concludes with a research agenda, arguing that people-based and place-based approaches need to be combined to tackle the complexity of the food-people-territory nexus.

Healthful and less-healthful foods and drinks from storefront and non-storefront businesses: implications for 'food deserts', 'food swamps' and food-source disparities

OBJECTIVE

Conceptualisations of 'food deserts' (areas lacking healthful food/drink) and 'food swamps' (areas overwhelm by less-healthful fare) may be both inaccurate and incomplete. Our objective was to more accurately and completely characterise food/drink availability in urban areas.

DESIGN

Cross-sectional assessment of select healthful and less-healthful food/drink offerings from storefront businesses (stores, restaurants) and non-storefront businesses (street vendors).

SETTING

Two areas of New York City: the Bronx (higher-poverty, mostly minority) and the Upper East Side (UES; wealthier, predominantly white).

PARTICIPANTS

All businesses on 63 street segments in the Bronx (n 662) and on 46 street segments in the UES (n 330).

RESULTS

Greater percentages of businesses offered any, any healthful, and only less-healthful food/drink in the Bronx (42·0 %, 37·5 %, 4·4 %, respectively) than in the UES (30 %, 27·9 %, 2·1 %, respectively). Differences were driven mostly by businesses (e.g. newsstands, gyms, laundromats) not primarily focused on selling food/drink - 'other storefront businesses' (OSBs). OSBs accounted for 36·0 % of all food/drink-offering businesses in the Bronx (more numerous than restaurants or so-called 'food stores') and 18·2 % in the UES (more numerous than 'food stores'). Differences also related to street vendors in both the Bronx and the UES. If street vendors and OSBs were not captured, the missed percentages of street segments offering food/drink would be 14·5 % in the Bronx and 21·9 % in the UES.

CONCLUSIONS

Of businesses offering food/drink in communities, OSBs and street vendors can represent substantial percentages. Focusing on only 'food stores' and restaurants may miss or mischaracterise 'food deserts', 'food swamps', and food/drink-source disparities between communities.

Residents' perceptions of their local food environment in socioeconomically diverse neighborhoods: A photovoice study

The influence of unhealthy food environments on residents' eating behaviors has been previously documented. Yet, socioeconomic differences across areas are less studied. Participatory studies provide relevant knowledge to better inform future nutrition interventions. We conducted a participatory Photovoice project in which residents interpreted the influence of the local food environment on eating behaviors across three neighborhoods of contrasting area-level socioeconomic status (SES) in Bilbao, Spain. From April to July 2017, a total of 23 residents participated in the three Photovoice groups. Each group critically discussed their photographs (N = 110) in groups of 6-9 participants along six group sessions. Through a consensus-building process, participants identified 27 emerging categories choosing finally 39 related photographs, which followed six conceptual main themes characterizing their local food environment: 1) unhealthy eating behaviors, 2) cultural diversity, 3) retail transformation, 4) social relationships, 5) precariousness, and 6) healthy eating. Although high food quality and fresh products may portray a general healthy food environment in all three neighborhoods, participants discussed why some residents still adopt unhealthy eating behaviors characterized by an excessive consumption of alcohol (high-SES area), sugar loaded foods (high- and middle-SES) and fast food (middle and low-SES). This photovoice participatory methodology helps highlighting important similarities and differences regarding food environment perceptions in the whole socioeconomic spectrum of any given city. This type of participatory approach helps guiding local policies and interventions promoting healthier local food environments.

A systematic review employing the GeoFERN framework to examine methods, reporting quality and associations between the retail food environment and obesity

This systematic review quantifies methods used to measure the 'retail food environment' (RFE), appraises the quality of methodological reporting, and examines associations with obesity, accounting for differences in methods. Only spatial measures of the RFE, such as food outlet proximity were included. Across the 113 included studies, methods for measuring the RFE were extremely diverse, yet reporting of methods was poor (average reporting quality score: 58.6%). Null associations dominated across all measurement methods, comprising 76.0% of 1937 associations in total. Outcomes varied across measurement methods (e.g. narrow definitions of 'supermarket': 20.7% negative associations vs 1.7% positive; broad definitions of 'supermarket': 9.0% negative associations vs 10.4% positive). Researchers should report methods more clearly, and should articulate findings in the context of the measurement methods employed.

Exploring absolute and relative measures of exposure to food environments in relation to dietary patterns among European adults

Objective

To explore the associations of absolute and relative measures of exposure to food retailers with dietary patterns, using simpler and more complex measures.

Design

Cross-sectional survey.

Setting

Urban regions in Belgium, France, Hungary, the Netherlands and the UK.

Participants

European adults (n 4942). Supermarkets and local food shops were classified as ‘food retailers providing healthier options’; fast-food/takeaway restaurants, cafés/bars and convenience/liquor stores as ‘food retailers providing less healthy options’. Simpler exposure measures used were density of healthy and density of less healthy food retailers. More complex exposure measures used were: spatial access (combination of density and proximity) to healthy and less healthy food retailers; density of healthier food retailers relative to all food retailers; and a ratio of spatial access scores to healthier and less healthy food retailers. Outcome measures were a healthy or less healthy dietary pattern derived from a principal component analysis (based on consumption of fruits, vegetables, fish, fast foods, sweets and sweetened beverages).

Results

Only the highest density of less healthy food retailers was significantly associated with the less healthy dietary pattern (β = −129·6; 95 % CI −224·3, −34·8). None of the other absolute density measures nor any of the relative measures of exposures were associated with dietary patterns.

Conclusions

More complex measures of exposure to food retailers did not produce stronger associations with dietary patterns. We had some indication that absolute and relative measures of exposure assess different aspects of the food environment. However, given the lack of significant findings, this needs to be further explored.

A qualitative study of the drivers of socioeconomic inequalities in men's eating behaviours

Background

Men of low socioeconomic position (SEP) are less likely than those of higher SEP to consume fruits and vegetables, and more likely to eat processed discretionary foods. Education level is a widely used marker of SEP. Few studies have explored determinants of socioeconomic inequalities in men’s eating behaviours. The present study aimed to explore intrapersonal, social and environmental factors potentially contributing to educational inequalities in men’s eating behaviour.

Methods

Thirty Australian men aged 18–60 years (15 each with tertiary or non-tertiary education) from two large metropolitan sites (Melbourne, Victoria; and Newcastle, New South Wales) participated in qualitative, semi-structured, one-on-one telephone interviews about their perceptions of influences on their and other men’s eating behaviours. The social ecological model informed interview question development, and data were examined using abductive thematic analysis.

Results

Themes equally salient across tertiary and non-tertiary educated groups included attitudes about masculinity; nutrition knowledge and awareness; ‘moralising’ consumption of certain foods; the influence of children on eating; availability of healthy foods; convenience; and the interplay between cost, convenience, taste and healthfulness when choosing foods. More prominent influences among tertiary educated men included using advanced cooking skills but having relatively infrequent involvement in other food-related tasks; the influence of partner/spouse support on eating; access to healthy food; and cost. More predominant influences among non-tertiary educated men included having fewer cooking skills but frequent involvement in food-related tasks; identifying that ‘no-one’ influenced their diet; having mobile worksites; and adhering to food budgets.

Conclusions

This study identified key similarities and differences in perceived influences on eating behaviours among men with lower and higher education levels. Further research is needed to determine the extent to which such influences explain socioeconomic variations in men’s dietary intakes, and to identify feasible strategies that might support healthy eating among men in different socioeconomic groups.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-6162-6) contains supplementary material, which is available to authorized users.

Examining the interaction of fast-food outlet exposure and income on diet and obesity: evidence from 51,361 UK Biobank participants

BACKGROUND

Household income (as a marker of socioeconomic position) and neighbourhood fast-food outlet exposure may be related to diet and body weight, which are key risk factors for non-communicable diseases. However, the research evidence is equivocal. Moreover, understanding the double burden of these factors is a matter of public health importance. The purpose of this study was to test associations of neighbourhood fast-food outlet exposure and household income, in relation to frequency of consumption of processed meat and multiple measures of adiposity, and to examine possible interactions.

METHODS

We employed an observational, cross-sectional study design. In a cohort of 51,361 adults aged 38-72 years in Greater London, UK, we jointly classified participants based on household income (£/year, four groups) and GIS-derived neighbourhood fast-food outlet proportion (counts of fast-food outlets as a percentage of all food outlets, quartiles). Multivariable regression models estimated main effects and interactions (additive and multiplicative) of household income and fast-food outlet proportion on odds of self-reported frequent processed meat consumption (> 1/week), measured BMI (kg/m2), body fat (%), and odds of obesity (BMI ≥ 30).

RESULTS

Income and fast-food proportion were independently, systematically associated with BMI, body fat, obesity and frequent processed meat consumption. Odds of obesity were greater for lowest income participants compared to highest (OR = 1.54, 95% CI: 1.41, 1.69) and for those most-exposed to fast-food outlets compared to least-exposed (OR = 1.51, 95% CI: 1.40, 1.64). In jointly classified models, lowest income and highest fast-food outlet proportion in combination were associated with greater odds of obesity (OR = 2.43, 95% CI: 2.09, 2.84), with relative excess risk due to interaction (RERI = 0.03). Results were similar for frequent processed meat consumption models. There was no evidence of interaction on a multiplicative scale between fast-food outlet proportion and household income on each of BMI (P = 0.230), obesity (P = 0.054) and frequent processed meat consumption (P = 0.725).

CONCLUSIONS

Our study demonstrated independent associations of neighbourhood fast-food outlet exposure and household income, in relation to diet and multiple objective measures of adiposity, in a large sample of UK adults. Moreover, we provide evidence of the double burden of low income and an unhealthy neighbourhood food environment, furthering our understanding of how these factors contribute jointly to social inequalities in health.

Sources of Foods That Are Ready-to-Consume ('Grazing Environments') Versus Requiring Additional Preparation ('Grocery Environments'): Implications for Food-Environment Research and Community Health

Local businesses that offer foods may create different 'grazing environments' (characterized by sources of ready-to-consume foods) and 'grocery environments' (characterized by source of foods for later preparation). Such environments may be relevant to different populations at different times and may vary by neighborhood. In neighborhoods within two demographically distinct areas of the Bronx, NY [Area A (higher-poverty, greater minority representation, lesser vehicle ownership) vs. Area B], researchers assessed all storefront businesses for food offerings. Food offerings could be ready-to-consume or require additional preparation. 'Healthful' offerings included fruits and vegetables, whole grains, and nuts; 'less-healthful' offerings included 'refined sweets' and 'salty/fatty fare.' 'Food businesses' (those primarily focused on selling food) were distinguished from 'other businesses' (not focused primarily on food selling). Area A had a higher percentage of street segments on which foods were available (28.6% vs. 6.9% in Area B; difference 21.7% points [95% CI 17.0, 26.5]) and a higher percentage of businesses offering foods (46.9% vs. 41.7% in Area B; difference 5.2% points [95% CI - 2.0, 12.4]). 'Less-healthful' items predominated in both 'grazing environments' and overall environments ('grazing' plus 'grocery environments'; the environments researchers typically measure) in both Areas A and B. 'Other businesses' represented about 2/3 of all businesses and accounted for nearly 1/3 of all the businesses offering food in both geographic areas. The lower-income area with greater minority representation and less private transportation had more businesses offering foods on more streets. There was near-perfect overlap between 'grazing environments' and overall environments in both geographic areas. Future research should consider the extent of 'grazing' and 'grocery environments,' and when each might be most relevant to populations of interest.