The current study aimed to evaluate policies and actions for food environments by the Japanese Government using the Healthy Food Environment Policy Index (Food-EPI).

Public health experts rated the extent of implementation of food environment-related Policy and the Infrastructure-support components, compared with international best practices. Subsequently, the experts proposed and prioritised future actions to address implementation gaps in an online workshop.

Japan.

A total of sixty-six experts rated policy implementation by the Japanese Government and twenty-three participated in the workshop on future actions.

The implementations of regulations on unhealthy foods and non-alcoholic beverages were rated low in the domains of Food composition, Food labelling and Food promotion, Food prices and Food retail in the Policy component. The implementations of several domains in the Infrastructure-support component were, overall, rated at a higher level, specifically for monitoring and intelligence systems. Based on the rating, reducing health inequalities by supporting people, both economically and physically, was the highest priority for future actions in both components.

The current study found that Japan has a robust system for long-term monitoring of population health but lacks regulations on unhealthy foods and non-alcoholic beverages compared with international best practices. The current study confirmed the importance of continuous accumulation of evidence through national monitoring systems. Developing comprehensive regulations to restrict food marketing, sales and accessibility of unhealthy foods and non-alcoholic beverages is needed to improve the health of food environments in Japan.

The purpose of this study is to determine if healthier neighbourhood food environments are associated with healthier diet quality.

This was a cross-sectional study using linear regression models to analyse data from the Maastricht Study. Diet quality was assessed using data collected with a FFQ to calculate the Dutch Healthy Diet (DHD). A buffer zone encompassing a 1000 m radius was created around each participant home address. The Food Environment Healthiness Index (FEHI) was calculated using a Kernel density analysis within the buffers of available food outlets. The association between the FEHI and the DHD score was analysed and adjusted for socio-economic variables.

The region of Maastricht including the surrounding food retailers in the Netherlands.

7367 subjects aged 40–75 years in the south of the Netherlands.

No relationship was identified between either the FEHI (B = 0·62; 95 % CI = –2·54, 3·78) or individual food outlets, such as fast food (B = –0·07; 95 % CI = –0·20, 0·07) and diet quality. Similar null findings using the FEHI were identified at the 500 m (B = 0·95; 95 % CI = –0·85, 2·75) and 1500 m (B = 1·57; 95 % CI = –3·30, 6·44) buffer. There was also no association between the food environment and individual items of the DHD including fruits, vegetables and sugar-sweetened beverages.

The food environment in the Maastricht area appeared marginally unhealthy, but the differences in the food environment were not related to the quality of food that participants reported as intake.

This paper assesses trends in food environment and market concentration and racial and ethnic inequities in food environment exposure and food retail market concentration at the US census tract level from 2000 to 2019.

Establishment-level data from the National Establishment Time Series were used to measure food environment exposure and food retail market concentration. We linked that dataset to race, ethnicity and social vulnerability information from the American Community Survey and the Agency for Toxic Substances and Disease Registry. A geospatial hot-spot analysis was conducted to identify relatively low and high healthy food access clusters based on the modified Retail Food Environment Index (mRFEI). The associations were assessed using two-way fixed effects regression models.

Census tracts spanning all US states.

69 904 US census tracts.

The geospatial analysis revealed clear patterns of areas with high and low mRFEI values. Our empirical findings point to disparities in food environment exposure and market concentration by race. The analysis shows that Asian Americans are likelier to live in neighbourhoods with a low food environment exposure and low retail market concentration. These adverse effects are more pronounced in metro areas. The robustness analysis for the social vulnerability index confirms these results.

US food policies must address disparities in neighbourhood food environments and foster a healthy, profitable, equitable and sustainable food system. Our findings may inform equity-oriented neighbourhood, land use and food systems planning. Identifying priority areas for investment and policy interventions is essential for equity-oriented neighbourhood planning.

Commercially available business (CAB) datasets for food environments have been investigated for error in large urban contexts and some rural areas, but there is a relative dearth of literature that reports error across regions of variable rurality. The objective of the current study was to assess the validity of a CAB dataset using a government dataset at the provincial scale.

A ground-truthed dataset provided by the government of Newfoundland and Labrador (NL) was used to assess a popular commercial dataset. Concordance, sensitivity, positive-predictive value (PPV) and geocoding errors were calculated. Measures were stratified by store types and rurality to investigate any association between these variables and database accuracy.

NL, Canada.

The current analysis used store-level (ecological) data.

Of 1125 stores, there were 380 stores that existed in both datasets and were considered true-positive stores. The mean positional error between a ground-truthed and test point was 17·72 km. When compared with the provincial dataset of businesses, grocery stores had the greatest agreement, sensitivity = 0·64, PPV = 0·60 and concordance = 0·45. Gas stations had the least agreement, sensitivity = 0·26, PPV = 0·32 and concordance = 0·17. Only 4 % of commercial data points in rural areas matched every criterion examined.

The commercial dataset exhibits a low level of agreement with the ground-truthed provincial data. Particularly retailers in rural areas or belonging to the gas station category suffered from misclassification and/or geocoding errors. Taken together, the commercial dataset is differentially representative of the ground-truthed reality based on store-type and rurality/urbanity.

To quantify the extent of food and beverage advertising on bus shelters in a deprived area of the UK, to identify the healthfulness of advertised products, and any differences by level of deprivation. The study also sought to assess the creative strategies used and extent of appeal to young people.

Images of bus shelter advertisements were collected via in person photography (in 2019) and Google Street View (photos recorded in 2018). Food and beverage advertisements were grouped into one of seventeen food categories and classified as healthy/less healthy using the UK Nutrient Profile Model. The deprivation level of the advertisement location was identified using the UK Index of Multiple Deprivation.

Middlesbrough and Redcar and Cleveland in South Teesside.

N/A

Eight hundred and thirty-two advertisements were identified, almost half (48·9 %) of which were for foods or beverages. Of food and non-alcoholic beverage adverts, 35·1 % were less healthy. Most food advertisements (98·9 %) used at least one of the persuasive creative strategies. Food advertisements were found to be of appeal to children under 18 years of age (71·9 %). No differences in healthiness of advertised foods were found by level of deprivation.

Food advertising is extensive on bus shelters in parts of the UK, and a substantial proportion of this advertising is classified as less healthy and would not be permitted to be advertised around television programming for children. Bus shelter advertising should be considered part of the UK policy deliberations around restricting less healthy food marketing exposure.

To evaluate the extent of implementation of public policies aimed at creating healthy eating environments in Senegal compared to international best practice and identity priority actions to address the double burden of malnutrition.

The Healthy Food Environment Policy Index (Food-EPI) was used by a local expert panel to assess the level of implementation of forty-three good practice policy and infrastructure support indicators against international best practices using a Likert scale and identify priority actions to address the double burden of malnutrition in Senegal.

Senegal, West Africa.

A national group of independent experts from academia, civil society, non-governmental organisations and United Nations bodies (n =15) and a group of government experts from various ministries (n =16) participated in the study.

Implementation of most indicators aimed at creating healthy eating environments were rated as ‘low’ compared to best practice (31 on 43, or 72 %). The Gwet AC2 inter-rater reliability was good at 0·75 (95 % CI 0·70, 0·80). In a prioritisation workshop, experts identified forty-five actions, prioritising ten as relatively most feasible and important and relatively most effective to reduce the double burden of malnutrition in Senegal (e.g. develop and implement regional school menus based on local products (expand to fourteen regions) and measure the extent of the promotion of unhealthy foods to children).

Significant efforts remain to be made by Senegal to improve food environments. This project allowed to establish an agenda of priority actions for the government to transform food environments in Senegal to tackle the double burden of malnutrition.

To map the scientific research on food environments in Brazil, based on the following questions: How many studies have addressed food environments?; What study designs and methodological approaches were applied?; What is the geographic scope of the studies?; What scenarios and dimensions of food environments were studied?; Which population groups were studied?; How were food environments conceptualised?; What are the main limitations of the studies?

Scoping review conducted in four databases, from January 2005 to December 2022, using different food environment-related terms to cover the main types and dimensions proposed in the literature. The studies were independently selected by two authors. A narrative synthesis was used to summarise the findings.

Brazil.

130 articles.

Scientific research on Brazilian food environments has been increasing. The analytical quantitative approach and the cross-sectional design were the most frequently used. Most articles were published in English. The majority of studies evaluated the community food environment, addressed aspects of the physical dimension, sampled the adult population, had food consumption as an outcome, used primary data, and were carried out in capital cities in the Southeast region. Furthermore, in most articles, no conceptual model was explicitly adopted.

Gaps in literature are related to the need for conducting studies in the Brazilian countryside, the support for the formulation of research questions based on conceptual models, the use of valid and reliable instruments to collect primary data, in addition to the need for a greater number of longitudinal, intervention and qualitative studies.

To examine the associations of changes in the local food environment, individual behaviours and perceptions with changes in dietary intake, following relocation from an established neighbourhood to a new residential development.

Spatial food environment exposure measures were generated relative to each participant’s home address using the locations of food outlets at baseline (before moving house) and follow-up (1–2 years after relocation). Self-reported data on socio-demographics, self-selection, usual dietary intake, individual behaviours and perceptions of the local food environment were sourced from the RESIDential Environments (RESIDE) Project. Changes in spatial exposure measures, individual behaviours and perceptions with changes in dietary outcomes were examined using mixed linear models.

Perth, Western Australia, 2003–2007.

Adults (n 1200) from the RESIDE Project.

Moving to a new residential development with more convenience stores and café restaurants around the home was significantly associated with an increase in unhealthy food intake (β = 0·049, 95 % CI 0·010, 0·089; β = 0·020, 95 % CI 0·007, 0·033) and was partially mediated by individual behaviours and perceptions. A greater percentage of healthy food outlets around the home following relocation was significantly associated with an increase in healthy food (β = 0·003, 95 % CI 0·001, 0·005) and fruit/vegetable intake (β = 0·002, 95 % CI 0·001, 0·004).

Policy and planning may influence dietary intakes by restricting the number of convenience stores and other unhealthy food outlets and increasing the relative percentage of healthy food outlets.

The current descriptive study aimed to: (i) quantify the number and type of advertisements (ads) located in a Chinese-American neighbourhood in a large, urban city; and (ii) catalogue the targeted marketing themes used in the food/beverage ads.

Ten pairs of trained research assistants photographed all outdoor ads in a 0·6 mile2 (1·6 km2) area where more than 60·0 % of residents identify as Chinese American. We used content analysis to assess the marketing themes of ads, including references to: Asian cultures; health; various languages; children; food or beverage type (e.g. sugar-sweetened soda).

Lower East Side, a neighbourhood located in the borough of Manhattan in New York City, USA.

Ads (n 1366) in the designated neighbourhood.

Food/beverage ads were the largest ad category (29·7 %, n 407), followed by services (e.g. mobile phone services; 21·0 %, n 288). Sixty-seven per cent (66·9 %) of beverages featured were sugar-sweetened, and 50·8 % of food ads promoted fast food. Fifty-five per cent (54·9 %) of food/beverage ads targeted Asian Americans through language, ethnicity of person(s) in the ad or inclusion of culturally relevant images. Fifty per cent (50·2 %) of ads were associated with local/small brands.

Food/beverage marketing practices are known to promote unhealthy food and beverage products. Research shows that increased exposure leads to excessive short-term consumption among consumers and influences children’s food preferences and purchase requests. Given the frequency of racially targeted ads for unhealthy products in the current study and increasing rates of obesity-related diseases among Asian Americans, research and policies should address the implications of food and beverage ads on health.

To examine the extent and characteristics of food and beverage (F&B) promotion in Hong Kong mass transit railway (MTR) stations in districts with different socioeconomic statuses (SES) and school density.

All advertisements located in the eight selected MTR stations were recorded by photographs or videos, and classified into F&B and non-F&B. The percentage of F&B advertisements and unhealthy F&B being promoted, and common persuasive marketing strategies used in F&B advertisements were compared between low v. high SES districts and school zones v. non-school zones.

MTR stations in Hong Kong.

Not applicable.

Of the 8064 advertisements documented, 861 (10·7 %) were F&B advertisements, promoting 1860 F&B items. More than half of the these were unhealthy foods. Stations in high SES districts or school zones tend to advertise more unhealthy items (high v. low SES: 55·8 v. 50·8 %, P = 0·049; school v. non-school: 60·8 v. 49·3 %, P < 0·001). More than one-third of the F&B advertisements recorded did not utilise any of those persuasive marketing techniques that were examined, and using models (13·9 %) or providing discounts (8·8 %) were the two most frequently used non-festival-related persuasive marketing strategies.

Unhealthy F&B advertising in MTR stations is prevalent regardless of SES and school density, and persuasive marketing strategies were infrequently used. These suggest that a ban on unhealthy F&B advertising around schools or the use of persuasive marketing strategies alone would be ineffective in Hong Kong. To align with the recommendation from WHO, a universal ban of junk food advertising should be enacted.

To evaluate changes in the retail food environment profile in a Brazilian metropolis over a 10-year period.

An ecological study was conducted in the city of Belo Horizonte, Minas Gerais, Brazil. The addresses of formal food establishments were geocoded and classified according to their sold-food profile. Density changes were analysed according to neighbourhood, population size, income level and geospatial distribution.

Totally, 468 neighbourhoods in the city of Belo Horizonte, Minas Gerais, Brazil.

Totally, 83 752 formal food establishments registered for operation in any one or more of those years: 2008, 2011, 2015 and 2018.

There was an increase in unhealthy establishments (154 %), followed by mixed (51 %) and healthy establishments (32 %), during the period evaluated, in addition to an increase in density according to income categories. There was a higher proportion of unhealthy establishments in relation to healthy establishments, indicating worsening of the community food environment over time.

Over the course of 10 years, changes in the neighbourhood’s food environment were unfavourable for adequate access to healthy foods in lower-income neighbourhoods. The findings reinforce the need for interventions aimed at increasing the availability of businesses that offer healthy food in the city.

To identify factors influencing dietary behaviours in urban food environments in Africa and identify areas for future research.

We systematically reviewed published/grey literature (protocol CRD4201706893). Findings were compiled into a map using a socio-ecological model on four environmental levels: individual, social, physical and macro.

Urban food environments in Africa.

Studies involving adolescents and adults (11–70 years, male/female).

Thirty-nine studies were included (six adolescent, fifteen adolescent/adult combined and eighteen adult). Quantitative methods were most common (twenty-eight quantitative, nine qualitative and two mixed methods). Studies were from fifteen African countries. Seventy-seven factors influencing dietary behaviours were identified, with two-thirds at the individual level (45/77). Factors in the social (11/77), physical (12/77) and macro (9/77) environments were investigated less. Individual-level factors that specifically emerged for adolescents included self-esteem, body satisfaction, dieting, spoken language, school attendance, gender, body composition, pubertal development, BMI and fat mass. Studies involving adolescents investigated social environment-level factors more, for example, sharing food with friends. The physical food environment was more commonly explored in adults, for example, convenience/availability of food. Macro-level factors associated with dietary behaviours were food/drink advertising, religion and food prices. Factors associated with dietary behaviour were broadly similar for men and women.

The dominance of studies exploring individual-level factors suggests a need for research to explore how social, physical and macro-level environments drive dietary behaviours of adolescents and adults in urban Africa. More studies are needed for adolescents and men, and studies widening the geographical scope to encompass all African countries.

We examined whether associations between the food environment, frequency of home cooking, diet quality and BMI were modified by the level of cooking skills.

Cross-sectional study using linear and modified Poisson regression models adjusted for age, sex, energy intake, education, income, household size and urbanisation. The frequency of home cooking was categorised into <6 and 6–7 d. Diet quality was based on a validated Dutch healthy diet index (0–150 points). Count of restaurants and food stores were determined by their count in a 1000m buffer around home and work. Cooking skills (score 1–5) were assessed using a validated questionnaire and added as interaction term.

The Netherlands.

1461 adults aged 18–65 years.

Count of restaurants and food stores were not associated with the frequency of home cooking. A 10-unit higher count of food stores was associated with a higher diet quality (β: 0·58 (95 % CI (0·04, 1·12)), and a 10-unit higher count of restaurants was associated with a lower BMI kg/m2 (β: −0·02 (95 % CI (-0·04, −0·004)). Better cooking skills were associated with a higher likelihood of cooking 6–7 d compared with <6 d (risk ratio: 1·24 (95 % CI (1·16, 1·31)) and a higher diet quality (β: 4·45 (95 % CI (3·27, 5·63)) but not with BMI. We observed no interaction between the food environment and cooking skills (P-for-interaction > 0·1).

Exposure to food stores was associated with a higher diet quality and exposure to restaurants with a lower BMI. Better cooking skills were associated with a higher frequency of home cooking and better diet quality but did not modify associations with the food environment. Future studies should explore different approaches to understand how individuals interact with their food environment.

The food retail environment is an important determinant of food access and the ability to achieve a healthy diet. However, immigrant communities may procure their food in different ways than the mainstream population owing to preferences for specific cultural products or limited English language proficiency. The objective of this analysis was to describe the grocery shopping patterns and behaviours of one of the largest immigrant groups in New York City, Chinese Americans – a group experiencing high poverty and cardio-metabolic disparities.

Cross-sectional survey data.

Community-based sample.

Self-identified Chinese Americans in the New York metropolitan area (n 239).

Three shopping patterns were identified: type 1: shopped weekly at an ethnic grocery store – and nowhere else; type 2: shopped weekly at a non-ethnic grocery store, with occasional shopping at an ethnic store and type 3: did not perform weekly shopping. Type 1 v. type 2 shoppers tended to have lower education levels (37·5 v. 78·0 % with college degree); to be on public insurance (57·6 v. 22·8 %); speak English less well (18·4 v. 41·4 %); be food insecure (47·2 v. 24·2 %; P < 0·01 for all) and to travel nearly two miles further to shop at their primary grocery store (β = −1·55; 95 % CI −2·81, −0·30).

There are distinct grocery shopping patterns amongst urban-dwelling Chinese Americans corresponding to demographic and sociocultural factors that may help inform health interventions in this understudied group. Similar patterns may exist among other immigrant groups, lending preliminary support for an alternative conceptualisation of how immigrant communities interact with the food retail environment.

This study examined the separate relationships between socio-economic disadvantage and the density of multiple types of food outlets, and relationships between socio-economic disadvantage and composite food environment indices.

Cross-sectional data were analysed using geospatial kernel density techniques. Food outlet data included convenience stores, discount stores, fast-food and fast casual restaurants, and grocery stores. Controlling for urbanicity and race/ethnicity, multivariate linear regression was used to examine the relationships between socio-economic disadvantage and density of food outlets.

This study occurred in a large Southeastern US county containing 255 census block groups with a total population of 474 266, of which 77·1 % was Non-Hispanic White, the median household income was $48 886 and 15·0 % of residents lived below 125 % of the federal poverty line.

The unit of analysis was block groups; all data about neighbourhood socio-economic disadvantage and food outlets were publicly available.

As block group socio-economic disadvantage increased, so too did access to all types of food outlets. The total food environment index, calculated as the ratio of unhealthy food outlets to all food outlets, decreased as block group disadvantage increased.

Those who reside in more disadvantaged block groups have greater access to both healthy and unhealthy food outlets. The density of unhealthy establishments was greater in more disadvantaged areas; however, because of having greater access to grocery stores, disadvantaged populations have less obesogenic total food environments. Structural changes are needed to reduce access to unhealthy food outlets to ensure environmental injustice and reduce obesity risk.

To examine cross-sectional associations of four aspects of the consumer food environment – price, availability, marketing and product placement – with BMI and fruit and vegetable intake.

This cross-sectional study measured the consumer food environment using grocery store audits and surveys. Outcomes were measured through surveys and physical exams. Multivariable linear regression models were run; models were all adjusted for age, neighbourhood, education, race/ethnicity and financial burden.

Non-proportional quota sample of four socio-economically and racial/ethnically diverse neighbourhoods in Chicago, IL.

Women (n 228) aged 18–44 years.

Participants who reported seeing healthy food marketing had a higher vegetable intake (β = 0·24, 95 % CI 0·06, 0·42). There was some suggestive evidence that participants who shopped at stores that were more expensive (β = −0·90, 95 % CI−1·94, 0·14) had lower BMI, but this association was not statistically significant. Multivariable regression models did not indicate any significant association between any measure of the consumer food environment and fruit intake.

Our findings add to the growing interest in the role of the consumer food environment in health behaviours. Further research is needed to better understand the role of price and marketing characteristics on eating behaviours and BMI.

To examine associations among neighbourhood food environments (NFE), household food insecurity (HFI) and child’s weight-related outcomes in a racially/ethnically diverse sample of US-born and immigrant/refugee families.

This cross-sectional, observational study involving individual and geographic-level data used multilevel models to estimate associations between neighbourhood food environment and child outcomes. Interactions between HFI and NFE were employed to determine whether HFI moderated the association between NFE and child outcomes and whether the associations differed for US-born v. immigrant/refugee groups.

The sample resided in 367 census tracts in the Minneapolis/St. Paul, MN metropolitan area, and the data were collected in 2016–2019.

The sample was from the Family Matters study of families (n 1296) with children from six racial/ethnic and immigrant/refugee groups (African American, Latino, Hmong, Native American, Somali/Ethiopian and White).

Living in a neighbourhood with low perceived access to affordable fresh fruits and vegetables was found to be associated with lower food security (P < 0·01), poorer child diet quality (P < 0·01) and reduced availability of a variety of fruits (P < 0·01), vegetables (P < 0·05) and whole grains in the home (P < 0·01). Moreover, residing in a food desert was found to be associated with a higher child BMI percentile if the child’s household was food insecure (P < 0·05). No differences in associations were found for immigrant/refugee groups.

Poor NFE were associated with worse weight-related outcomes for children; the association with weight was more pronounced among children with HFI. Interventions aiming to improve child weight-related outcomes should consider both NFE and HFI.

To examine the association between urban food environment and regular consumption of fruits and vegetables (FV) by older adults from a medium-sized Brazilian city.

Cross-sectional study based on data related to (1) objective assessment of establishments with predominant sale of unprocessed/minimally processed foods, mixed establishments and establishments with predominant sale of ultra-processed foods; (2) regular consumption of FV (≥ 5 times/week), health and socio-demographic variables of community-dwelling older adults. Tertiles of proximity between food establishments and older adults’ residence were calculated. Poisson generalised estimating equations with robust variance, adjusted for individual and contextual variables, were used to estimate the independent association between the proximity of establishments and regular consumption of FV.

Medium-sized Brazilian city.

Representative sample of community-dwelling older adults (n 549).

Older adults travelled the longest distances to establishments with predominant sale of unprocessed/minimally processed foods. The longer the distance to establishments with predominant sale of unprocessed/minimally processed foods, the lower the prevalence of regular consumption of FV (tertile 2: prevalence ratio (PR) = 0·86; 95 % CI = 0·74, 0·99; tertile 3: PR = 0·84; 95 % CI = 0·72, 0·97). Older adults living larger distance tertiles from establishments with predominant sale of ultra-processed foods, mixed establishments or all categories of establishments had 16 % (PR = 0·84; 95 % CI = 0·73, 0·96), 19 % (PR = 0·81; 95 % CI = 0·71, 0·93) and 19 % (PR = 0·81; 95 % CI = 0·70, 0·94) lower prevalence of regular consumption of FV, respectively.

The food environment is associated with regular consumption of FV among older adults. Longer distances from the residence of older adults to food establishments are independently associated with lower prevalence of regular consumption of FV.

The aim of the current study was to establish whether the neighbourhood food environment, characterised by the healthiness of food outlets, the diversity of food outlets and fast-food outlet density within a 500 m or 1000 m street network buffer around the home address, contributed to ethnic differences in diet quality.

Cross-sectional cohort study.

Amsterdam, the Netherlands.

Data on adult participants of Dutch, South-Asian Surinamese, African Surinamese, Turkish and Moroccan descent (n total 4728) in the HELIUS study were analysed.

The neighbourhood food environment of ethnic minority groups living in Amsterdam is less supportive of a healthy diet and of less diversity than that of participants of Dutch origin. For example, participants of Turkish, Moroccan and South-Asian Surinamese descent reside in a neighbourhood with a significantly higher fast-food outlet density (≤1000 m) than participants of Dutch descent. However, we found no evidence that neighbourhood food environment characteristics directly contributed to ethnic differences in diet quality.

Although ethnic minority groups lived in less healthy food environments than participants of ethnic Dutch origin, this did not contribute to ethnic differences in diet quality. Future research should investigate other direct or indirect consequences of residing in less supportive food environments and gain a better understanding of how different ethnic groups make use of their neighbourhood food environment.