Dietary inequalities: what is the evidence for the effect of the neighbourhood food environment?

[MESGI50 study: description of a cohort on Maturity and Satisfactory Ageing]

OBJECTIVE

To describe the demographic, health and socio-economic characteristics of the participants in the Study on Maturity and Satisfactory Ageing in Girona (MESGI50 study).

METHODS

Population-based Study linked to the Survey of Health, Ageing, and Retirement in Europe (SHARE). The reference population was the inhabitants of the province of Girona (Spain) aged 50 and over. A probabilistic two-stage stratified cluster sampling according to the number of inhabitants and the degree of ageing of the population was used.

RESULTS

Twenty-eight municipalities were randomly selected according to their type (demographically aged or young), and then stratified by the population size. The response rate was 65% with a mean of 1.7 eligible individuals per household and a final sample of 2,065 households and 3,331 participants. The design effect was 1.27. 52.9% were women and the mean age was 66.9 years (SD=11.5). The self-rated health status, hand grip strength, restriction in daily life activities and depressive symptomatology increased with age and more markedly in women. There were differences in alcohol consumption and eating patterns depending on the area of residence.

CONCLUSIONS

The demographic, health and socio-economic characteristics during the ageing process differ depending on age group, gender, and area of residence.

Dietary quality in children and the role of the local food environment

Diet is a modifiable contributor to many chronic diseases including childhood obesity. The local food environment may influence children's diet but this area of research is understudied. This study explores if distance to and the number of supermarkets and convenience stores in the local area around households are associated with dietary quality in nine year olds whilst controlling for household level socio-economic factors. This is a secondary analysis of Wave 1 (2007/2008) of the Growing Up in Ireland (GUI) Child Cohort Study, a sample of 8568 nine year olds from the Republic of Ireland. Dietary intake was assessed using a short, 20-item parent reported food frequency questionnaire and was used to create a dietary quality score (DQS) whereby a higher score indicated a higher diet quality. Socio-economic status was measured using household class, household income, and maternal education. Food availability was measured as road network distance to and the number of supermarkets and convenience stores around households. Separate fixed effects regression models assessed the association between local area food availability and dietary quality, stratified by sex. The DQS ranged from −5 to 25 (mean 9.4, SD 4.2). Mean DQS was higher in those who lived furthest (distance in quintiles) from their nearest supermarket (p<0.001), and in those who lived furthest from their nearest convenience store (p<0.001). After controlling for socio-economic characteristics of the household, there was insufficient evidence to suggest that distance to the nearest supermarket or convenience store was associated with dietary quality in girls or boys. The number of supermarkets or convenience stores within 1000 m of the household was not associated with dietary quality. Food availability had a limited effect on dietary quality in this study. Issues associated with conceptualising and measuring the food environment may explain the findings of the current study.

•

This sample represents a large nationally representative sample of nine year old children.

•

Distance to the nearest food outlet from the home had a limited impact on dietary quality.

•

Having a food outlet within 1000 m of the home had a limited impact dietary quality.

•

Household socio-economic indicators were important predictors of dietary quality.

Sugar Sweetened Beverage Consumption among Primary School Students: Influence of the Schools' Vicinity

The purpose of the research was to explore the associations between the characteristics of schools' vicinity and the risk of sugar sweetened beverage (SSB) consumption in elementary students. Findings exposed an important variation in student's SSB consumption between schools. Schools with a lower socioeconomic status or in a densely built environment tend to have higher proportion of regular SSB drinkers. These characteristics of the school's vicinity partly explained the variation observed between them. We estimated that a student moving to a school with a higher proportion of SSB drinkers may increase his/her chances by 52% of becoming a daily consumer. Important changes in dietary preferences can occur when children are in contact with a new social environment. Findings also support the idea that dietary behaviors among children result from the complex interactions between biological, social, and environmental factors.

Associations between the neighbourhood food environment, neighbourhood socioeconomic status, and diet quality: An observational study

Background

The neighbourhood environment may play an important role in diet quality. Most previous research has examined the associations between neighbourhood food environment and diet quality, and neighbourhood socioeconomic status and diet quality separately. This study investigated the independent and joint effects of neighbourhood food environment and neighbourhood socioeconomic status in relation to diet quality in Canadian adults.

Methods

We undertook a cross-sectional study with n = 446 adults in Calgary, Alberta (Canada). Individual-level data on diet and socio-demographic and health-related characteristics were captured from two self-report internet-based questionnaires, the Canadian Diet History Questionnaire II (C-DHQ II) and the Past Year Physical Activity Questionnaire (PAQ). Neighbourhood environment data were derived from dissemination area level Canadian Census data, and Geographical Information Systems (GIS) databases. Neighbourhood was defined as a 400 m network-based ‘walkshed’ around each participant’s household. Using GIS we objectively-assessed the density, diversity, and presence of specific food destination types within the participant’s walkshed. A seven variable socioeconomic deprivation index was derived from Canadian Census variables and estimated for each walkshed. The Canadian adapted Healthy Eating Index (C-HEI), used to assess diet quality was estimated from food intakes reported on C-DHQ II. Multivariable linear regression was used to test for associations between walkshed food environment variables, walkshed socioeconomic status, and diet quality (C-HEI), adjusting for individual level socio-demographic and health-related covariates. Interaction effects between walkshed socioeconomic status and walkshed food environment variables on diet quality (C-HEI) were also tested.

Results

After adjustment for covariates, food destination density was positively associated with the C-HEI (β 0.06, 95 % CI 0.01-0.12, p = 0.04) though the magnitude of the association was small. Walkshed socioeconomic status was not significantly associated with the C-HEI. We found no statistically significant interactions between walkshed food environment variables and socioeconomic status in relation to the C-HEI. Self-reported physical and mental health, time spent in neighbourhood, and dog ownership were also significantly (p < .05) associated with diet quality.

Conclusions

Our findings suggest that larger density of local food destinations may is associated with better diet quality in adults.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-016-3631-7) contains supplementary material, which is available to authorized users.

Do marginalized neighbourhoods have less healthy retail food environments? An analysis using Bayesian spatial latent factor and hurdle models

Background

Findings of whether marginalized neighbourhoods have less healthy retail food environments (RFE) are mixed across countries, in part because inconsistent approaches have been used to characterize RFE ‘healthfulness’ and marginalization, and researchers have used non-spatial statistical methods to respond to this ultimately spatial issue.

Methods

This study uses in-store features to categorize healthy and less healthy food outlets. Bayesian spatial hierarchical models are applied to explore the association between marginalization dimensions and RFE healthfulness (i.e., relative healthy food access that modelled via a probability distribution) at various geographical scales. Marginalization dimensions are derived from a spatial latent factor model. Zero-inflation occurring at the walkable-distance scale is accounted for with a spatial hurdle model.

Results

Neighbourhoods with higher residential instability, material deprivation, and population density are more likely to have access to healthy food outlets within a walkable distance from a binary ‘have’ or ‘not have’ access perspective. At the walkable distance scale however, materially deprived neighbourhoods are found to have less healthy RFE (lower relative healthy food access).

Conclusion

Food intervention programs should be developed for striking the balance between healthy and less healthy food access in the study region as well as improving opportunities for residents to buy and consume foods consistent with dietary recommendations.

Education and the Relationship Between Supermarket Environment and Diet

INTRODUCTION

Supermarkets are a major source of food for many families. Knowledge of how educational attainment affects the relationship between in-store environments of supermarkets and diet is needed. This study examined the relationship between maternal dietary quality and overall in-store supermarket environment, and assessed the effect modification of educational attainment.

METHODS

Dietary quality z-scores were calculated for 829 mothers with young children using cross-sectional data collected in 2010-2011 from a 20-item food frequency questionnaire. Information about nine in-store factors (variety, price, quality, promotion, shelf placement, store placement, nutrition information, healthier alternatives, and single fruit sale) on 12 foods known to discriminate between better and poorer dietary quality were collected to create a standardized "healthfulness" z-score for each supermarket where mothers shopped.

RESULTS

Multilevel unadjusted linear regression analysis completed in 2014-2015 showed that shopping at more-healthful supermarkets was associated with better dietary quality (β=0.39 SD/SD, p=0.01, 95% CI=0.10, 0.68). However, the relationship differed according to educational attainment (interaction, p=0.006). Among mothers who left school at age 16 years, those who shopped at less healthful supermarkets had poorer dietary quality (β=0.31 SD/SD, 95% CI=0.07, 0.55). Among mothers with degrees, those who shopped at less healthful supermarkets had better dietary quality (β=-0.59 SD/SD, 95% CI=-1.19, 0.00).

CONCLUSIONS

Mothers with low educational attainment show greater susceptibility to less healthful in-store environments than mothers with higher educational attainment who may be protected by greater psychological and financial resources. Policy initiatives to improve supermarket environments may be necessary to address dietary inequalities.

Understanding differences in the local food environment across countries: A case study in Madrid (Spain) and Baltimore (USA)

Places where we buy food influence dietary patterns, making local food environments a good example of a mass influence on population diets. Cross-cultural studies, using reliable methods, may help understanding the relationship between food environments and diet-related health outcomes. We aimed to understand cross-national differences in the local food environment between Madrid and Baltimore by comparing an average neighborhood in each city in terms of food store types, healthy food availability, and residents' pedestrian access. During 2012-2013, we assessed one neighborhood (~15,000 residents) in each city selecting median areas in terms of socio-demographic characteristics (segregation, education, aging, and population density). We collected on-field data on (a) number and types of all food stores, (b) overall healthy food availability and (c) specific availability of fruits & vegetables. Throughout a street network analysis (200m, 400m and 800m) of food stores with high healthy food availability, we estimated residents' pedestrian accessibility. We found 40 stores in Madrid and 14 in Baltimore. Small food stores carrying fresh foods in Madrid contrasted with the high presence of corner and chain convenience stores in Baltimore. In Madrid, 77% of the residents lived within less than 200m from a food store with high healthy food availability. In contrast, 95% of Baltimore's residents lived further than 400m from these stores. Our results may help promoting interventions from local city agencies to allocate resources to existing small-sized food stores, and to improve walkable urban environments. These actions may influence food choices, especially for those residents lacking access to private vehicles.

The differential effect of socio-economic status, birth weight and gender on body mass index in Australian Aboriginal Children

BACKGROUND

Adult Aboriginal Australians have 1.5-fold higher risk of obesity, but the trajectory of body mass index (BMI) through childhood and adolescence and the contribution of socio-economic factors remain unclear. Our objective was to determine the changes in BMI in Australian Aboriginal children relative to non-Aboriginal children as they move through adolescence into young adulthood, and to identify risk factors for higher BMI.

METHODS

A prospective cohort study of Aboriginal and non-Aboriginal school children commenced in 2002 across 15 different screening areas across urban, regional and remote New South Wales, Australia. Socio-economic status was recorded at study enrolment and participants' BMI was measured every 2 years. We fitted a series of mixed linear regression models adjusting for age, birth weight and socio-economic status for boys and girls.

RESULTS

In all, 3418 (1949 Aboriginal) participants were screened over a total of 11 387 participant years of follow-up. The prevalence of obesity was higher among Aboriginal children from mean age 11 years at baseline (11.6 vs 7.6%) to 16 years at 8 years follow-up (18.6 vs 12.3%). The mean BMI increased with age and was significantly higher among Aboriginal girls compared with non-Aboriginal girls (P<0.01). Girls born of low birth weight had a lower BMI than girls born of normal birth weight (P<0.001). Socio-economic status and low birth weight had a differential effect on BMI for Aboriginal boys compared with non-Aboriginal boys (P for interaction=0.01). Aboriginal boys of highest socio-economic status, unlike those of lower socio-economic status, had a higher BMI compared with non-Aboriginal boys. Non-Aboriginal boys of low birth weight were heavier than Aboriginal boys.

CONCLUSIONS

Socio-economic status and birth weight have differential effects on BMI among Aboriginal boys, and Aboriginal girls had a higher mean BMI than non-Aboriginal girls through childhood and adolescence. Intervention programs need to recognise the differential risk for obesity for Aboriginal and non-Aboriginal boys and girls to maximise their impact.

Fast-food exposure around schools in urban Adelaide

OBJECTIVE

To assess whether exposure to fast-food outlets around schools differed depending on socio-economic status (SES).

DESIGN

Binary logistic regression was used to investigate the presence and zero-inflated Poisson regression was used for the count (due to the excess of zeroes) of fast food within 1000 m and 15000 m road network buffers around schools. The low and middle SES tertiles were combined due to a lack of significant variation as the 'disadvantaged' group and compared with the high SES tertile as the 'advantaged' group. School SES was expressed using the 2011 Australian Bureau of Statistics, socio-economic indices for areas, index of relative socio-economic disadvantage. Fast-food data included independent takeaway food outlets and major fast-food chains.

SETTING

Metropolitan Adelaide, South Australia.

SUBJECTS

A total of 459 schools were geocoded to the street address and 1000 m and 1500 m road network distance buffers calculated.

RESULTS

There was a 1·6 times greater risk of exposure to fast food within 1000 m (OR=1·634; 95 % 1·017, 2·625) and a 9·5 times greater risk of exposure to a fast food within 1500 m (OR=9·524; 95 % CI 3·497, 25·641) around disadvantaged schools compared with advantaged schools.

CONCLUSIONS

Disadvantaged schools were exposed to more fast food, with more than twice the number of disadvantaged schools exposed to fast food. The higher exposure to fast food near more disadvantaged schools may reflect lower commercial land cost in low-SES areas, potentially creating more financially desirable investments for fast-food developers.

Does neighborhood fast-food outlet exposure amplify inequalities in diet and obesity? A cross-sectional study

BACKGROUND

Greater exposures to fast-food outlets and lower levels of education are independently associated with less healthy diets and obesity. Little is known about the interplay between these environmental and individual factors.

OBJECTIVE

The purpose of this study was to test whether observed differences in fast-food consumption and obesity by fast-food outlet exposure are moderated by educational attainment.

DESIGN

In a population-based cohort of 5958 adults aged 29-62 y in Cambridgeshire, United Kingdom, we used educational attainment-stratified regression models to estimate the food-frequency questionnaire-derived consumption of energy-dense "fast foods" (g/d) typically sold in fast-food restaurants and measured body mass index (BMI; in kg/m(2)) across geographic information system-derived home and work fast-food exposure quartiles. We used logistic regression to estimate the odds of obesity (BMI ≥30) and calculated relative excess risk due to interaction (RERI) on an additive scale. Participant data were collected during 2005-2013 and analyzed in 2015.

RESULTS

Greater fast-food consumption, BMI, and odds of obesity were associated with greater fast-food outlet exposure and a lower educational level. Fast-food consumption and BMI were significantly different across education groups at all levels of fast-food outlet exposure (P < 0.05). High fast-food outlet exposure amplified differences in fast-food consumption across levels of education. The relation between fast-food outlet exposure and obesity was only significant among those who were least educated (OR: 2.05; 95% CI: 1.08, 3.87; RERI = 0.88), which suggested a positive additive interaction between education and fast-food outlet exposure.

CONCLUSION

These findings suggest that efforts to improve diets and health through neighborhood-level fast-food outlet regulation might be effective across socioeconomic groups and may serve to reduce observed socioeconomic inequalities in diet and obesity.

Greater access to fast-food outlets is associated with poorer bone health in young children

SUMMARY

A healthy diet positively influences childhood bone health, but how the food environment relates to bone development is unknown. Greater neighbourhood access to fast-food outlets was associated with lower bone mass among infants, while greater access to healthy speciality stores was associated with higher bone mass at 4 years.

INTRODUCTION

Identifying factors that contribute to optimal childhood bone development could help pinpoint strategies to improve long-term bone health. A healthy diet positively influences bone health from before birth and during childhood. This study addressed a gap in the literature by examining the relationship between residential neighbourhood food environment and bone mass in infants and children.

METHODS

One thousand one hundred and seven children participating in the Southampton Women's Survey, UK, underwent measurement of bone mineral density (BMD) and bone mineral content (BMC) at birth and 4 and/or 6 years by dual-energy X-ray absorptiometry (DXA). Cross-sectional observational data describing food outlets within the boundary of each participant's neighbourhood were used to derive three measures of the food environment: the counts of fast-food outlets, healthy speciality stores and supermarkets.

RESULTS

Neighbourhood exposure to fast-food outlets was associated with lower BMD in infancy (β = -0.23 (z-score): 95% CI -0.38, -0.08) and lower BMC after adjustment for bone area and confounding variables (β = -0.17 (z-score): 95% CI -0.32, -0.02). Increasing neighbourhood exposure to healthy speciality stores was associated with higher BMD at 4 and 6 years (β = 0.16(z-score): 95% CI 0.00, 0.32 and β = 0.13(z-score): 95% CI -0.01, 0.26 respectively). The relationship with BMC after adjustment for bone area and confounding variables was statistically significant at 4 years, but not at 6 years.

CONCLUSIONS

The neighbourhood food environment that pregnant mothers and young children are exposed may affect bone development during early childhood. If confirmed in future studies, action to reduce access to fast-food outlets could have benefits for childhood development and long-term bone health.

Assessing the Consumer Food Environment in Restaurants by Neighbourhood Distress Level across Saskatoon, Saskatchewan

PURPOSE

To assess the consumer food environment in restaurants in Saskatoon, using the Nutrition Environment Measures Survey for Restaurants (NEMS-R), to examine differences by neighbourhood distress level and to reflect on the need for further refinement of the assessment of restaurant consumer food environments.

METHODS

Neighbourhoods were classified as low, middle, or high distress level based on the socioeconomic indicators (income, employment, and education) in the Material Deprivation Index. Differences in restaurant consumer food environments, indicated by mean NEMS-R total and sub-scores, were examined by various restaurant categories and by varying neighbourhood distress levels.

RESULTS

Chain coffee shops and pita and sandwich restaurants had higher NEMS-R totals and "Healthy Entrées" sub-scores; however, burger and chicken restaurants and pizza restaurants had more barriers to healthful eating. Although restaurants in lower distress level neighbourhoods generally rated healthier (higher NEMS-R scores), only a few measures (such as "Facilitators" and "Barriers") significantly differed by neighbourhood distress level.

CONCLUSIONS

The findings highlight the importance of developing interventions to improve restaurant consumer food environments, especially in neighbourhoods with higher distress levels. The results suggest that reliable measures of the consumer food environment could be developed beginning with what can be measured by NEMS-R.

Reducing Income Inequalities in Food Consumption: Explorations With an Agent-Based Model

INTRODUCTION

Individual and environmental factors dynamically interact in shaping income inequalities in healthy food consumption. The agent-based model, Health Behaviors Simulation (HEBSIM), was developed to describe income inequalities in healthy food consumption. It simulates interactions between households and their environment. HEBSIM was used to explore the impact of interventions aimed at reducing food consumption inequalities.

METHODS

HEBSIM includes households and food outlets. Households are characterized by location, composition, income, and preference for food. Decisions about where to shop for food (fruit/vegetable stores, supermarkets, or discount supermarkets) and whether to visit fast food outlets are based on distance, price, and food preference. Food outlets can close and new food outlets can enter the system. Three interventions to reduce healthy food consumption inequalities were tested: (1) eliminating residential segregation; (2) lowering the prices of healthy food; and (3) providing health education. HEBSIM was quantified using data from Statistics Netherlands, Statistics Eindhoven, and the GLOBE study (2011).

RESULTS

The model mimicked food consumption in Eindhoven. High-income households visited healthy food shops more often than low-income households. Eliminating residential segregation had the largest impact in reducing income inequalities in food consumption, but resulted partly from a worsening in healthy food consumption in high-income households. Lowering prices and health education could also substantially reduce inequalities. Most interventions took 5-10 years to reach their (almost) full effects.

CONCLUSIONS

HEBSIM is a promising tool for studying dynamic interactions between households and their environment and for assessing the impact of interventions on income inequalities in food consumption.

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

Background

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

Methods

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

Results

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

Conclusions

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

Contextual Uncertainties, Human Mobility, and Perceived Food Environment: The Uncertain Geographic Context Problem in Food Access Research

We examined the uncertainty of the contextual influences on food access through an analytic framework of the uncertain geographic context problem (UGCoP). We first examined the compounding effects of two kinds of spatiotemporal uncertainties on people's everyday efforts to procure food and then outlined three key dimensions (food access in real time, temporality of the food environment, and perceived nutrition environment) in which research on food access must improve to better represent the contributing environmental influences that operate at the individual level. Guidelines to address the UGCoP in future food access research are provided to account for the multidimensional influences of the food environment on dietary behaviors.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Neighbourhood socioeconomic disadvantage and fruit and vegetable consumption: a seven countries comparison

BACKGROUND

Low fruit and vegetable consumption is a risk factor for poor health. Studies have shown consumption varies across neighbourhoods, with lower intakes in disadvantaged neighbourhoods. However, findings are inconsistent, suggesting that socio-spatial inequities in diet could be context-specific, highlighting a need for international comparisons across contexts. This study examined variations in fruit and vegetable consumption among adults from neighbourhoods of varying socioeconomic status (SES) across seven countries (Australia, Canada, Netherlands, New Zealand, Portugal, Scotland, US).

METHODS

Data from seven existing studies, identified through literature searches and knowledge of co-authors, which collected measures of both neighbourhood-level SES and fruit and vegetable consumption were used. Logistic regression was used to examine associations between neighbourhood-level SES and binary fruit and vegetable consumption separately, adjusting for neighbourhood clustering and age, gender and education. As much as possible, variables were treated in a consistent manner in the analysis for each study to allow the identification of patterns of association within study and to examine differences in the associations across studies.

RESULTS

Adjusted analyses showed evidence of an association between neighbourhood-level SES and fruit consumption in Canada, New Zealand and Scotland, with increased odds of greater fruit intake in higher SES neighbourhoods. In Australia, Canada, New Zealand and Portugal, those residing in higher SES neighbourhoods had increased odds of greater vegetable intake. The other studies showed no evidence of a difference by neighbourhood-level SES.

CONCLUSIONS

Acknowledging discrepancies across studies in terms of sampling, measures, and definitions of neighbourhoods, this opportunistic study, which treated data in a consistent manner, suggests that associations between diet and neighbourhood-level socioeconomic status vary across countries. Neighbourhood socioeconomic disadvantage may differentially impact on access to resources in which produce is available in different countries. Neighbourhood environments have the potential to influence behaviour and further research is required to examine the context in which these associations arise.

Area deprivation and the food environment over time: A repeated cross-sectional study on takeaway outlet density and supermarket presence in Norfolk, UK, 1990-2008

Socioeconomic disparities in the food environment are known to exist but with little understanding of change over time. This study investigated the density of takeaway food outlets and presence of supermarkets in Norfolk, UK between 1990 and 2008. Data on food retail outlet locations were collected from telephone directories and aggregated within electoral wards. Supermarket presence was not associated with area deprivation over time. Takeaway food outlet density increased overall, and was significantly higher in more deprived areas at all time points; furthermore, socioeconomic disparities in takeaway food outlet density increased across the study period. These findings add to existing evidence and help assess the need for environmental interventions to reduce disparities in the prevalence of unhealthy food outlets.

Understanding socio-economic inequalities in food choice behaviour: can Maslow's pyramid help?

Socio-economic groups differ in their material, living, working and social circumstances, which may result in different priorities about their daily-life needs, including the priority to make healthy food choices. Following Maslow's hierarchy of human needs, we hypothesised that socio-economic inequalities in healthy food choices can be explained by differences in the levels of need fulfilment. Postal survey data collected in 2011 (67·2 % response) from 2903 participants aged 20-75 years in the Dutch GLOBE (Gezondheid en Levens Omstandigheden Bevolking Eindhoven en omstreken) study were analysed. Maslow's hierarchy of human needs (measured with the Basic Need Satisfaction Inventory) was added to age- and sex-adjusted linear regression models that linked education and net household income levels to healthy food choices (measured by a FFQ). Most participants (38·6 %) were in the self-actualisation layer of the pyramid. This proportion was highest among the highest education group (47·6 %). Being in a higher level of the hierarchy was associated with a higher consumption of fruits and vegetables as well as more healthy than unhealthy bread, snack and dairy consumption. Educational inequalities in fruit and vegetable intake (B= -1·79, 95 % CI -2·31, -1·28 in the lowest education group) were most reduced after the hierarchy of needs score was included (B= -1·57, 95 % CI - ·09, -1·05). Inequalities in other healthy food choices hardly changed after the hierarchy of needs score was included. People who are satisfied with higher-level needs make healthier food choices. Studies aimed at understanding socio-economic inequalities in food choice behaviour need to take differences in the priority given to daily-life needs by different socio-economic groups into account, but Maslow's pyramid offers little help.

Identifying the effects of environmental and policy change interventions on healthy eating

Obesity has been characterized as a disease. Strategies to change the incidence and prevalence of this disease include a focus on changing physical and social environments, over and above individual-level strategies, using a multilevel or systems approach. We focus our attention on evidence published between 2008 and 2013 on the effectiveness of interventions in nutrition environments, i.e., environmental interventions designed to influence the intake of healthful foods and amount of energy consumed. An overarching socioecological framework that has guided much of this research was used to characterize different types of environmental strategies. Intervention examples in each area of the framework are provided with a discussion of key findings and related conceptual and methodological issues. The emphasis in this review is on adults, but clearly this literature is only one part of the picture. Much research has been focused on child-specific interventions, including environmental interventions. Some evidence suggests effectiveness of policy-based or other types of interventions that aim to regulate or restructure environments to promote healthy dietary choices, and these strategies would apply to both children and adults. Opportunities to evaluate these policy changes in adults' social and physical environments are rare. Much of the existing research has been with children. As conceptual and methodological issues continue to be identified and resolved, we hope that future research in this domain will identify environmental strategies that can be included in intervention toolboxes to build healthy nutrition environments for both adults and children.

The contribution of national disparities to international differences in mortality between the United States and 7 European countries

OBJECTIVES

This study examined to what extent the higher mortality in the United States compared to many European countries is explained by larger social disparities within the United States. We estimated the expected US mortality if educational disparities in the United States were similar to those in 7 European countries.

METHODS

Poisson models were used to quantify the association between education and mortality for men and women aged 30 to 74 years in the United States, Belgium, Denmark, Finland, France, Norway, Sweden, and Switzerland for the period 1989 to 2003. US data came from the National Health Interview Survey linked to the National Death Index and the European data came from censuses linked to national mortality registries.

RESULTS

If people in the United States had the same distribution of education as their European counterparts, the US mortality disadvantage would be larger. However, if educational disparities in mortality within the United States equaled those within Europe, mortality differences between the United States and Europe would be reduced by 20% to 100%.

CONCLUSIONS

Larger educational disparities in mortality in the United States than in Europe partly explain why US adults have higher mortality than their European counterparts. Policies to reduce mortality among the lower educated will be necessary to bridge the mortality gap between the United States and European countries.

Pilot test of the Healthy Food Environment Policy Index (Food-EPI) to increase government actions for creating healthy food environments

OBJECTIVES

Effective government policies are essential to increase the healthiness of food environments. The International Network for Food and Obesity/non-communicable diseases (NCDs) Research, Monitoring and Action Support (INFORMAS) has developed a monitoring tool (the Healthy Food Environment Policy Index (Food-EPI)) and process to rate government policies to create healthy food environments against international best practice. The aims of this study were to pilot test the Food-EPI, and revise the tool and process for international implementation.

SETTING

New Zealand.

PARTICIPANTS

Thirty-nine informed, independent public health experts and non-governmental organisation (NGO) representatives.

PRIMARY AND SECONDARY OUTCOME MEASURES

Evidence on the extent of government implementation of different policies on food environments and infrastructure support was collected in New Zealand and validated with government officials. Two whole-day workshops were convened of public health experts and NGO representatives who rated performance of their government for seven policy and seven infrastructure support domains against international best practice. In addition, the raters evaluated the level of difficulty of rating, and appropriateness and completeness of the evidence presented for each indicator.

RESULTS

Inter-rater reliability was 0.85 (95% CI 0.81 to 0.88; Gwet's AC2) using quadratic weights, and increased to 0.89 (95% CI 0.85 to 0.92) after deletion of the problematic indicators. Based on raters' assessments and comments, major changes to the Food-EPI tool include strengthening the leadership domain, removing the workforce development domain, a stronger focus on equity, and adding community-based programmes and government funding for research on obesity and diet-related NCD prevention, as good practice indicators.

CONCLUSIONS

The resulting tool and process will be promoted and offered to countries of varying size and income globally. International benchmarking of the extent of government policy implementation on food environments has the potential to catalyse greater government action to reduce obesity and NCDs, and increase civil society's capacity to advocate for healthy food environments.

Food store owners' and managers' perspectives on the food environment: an exploratory mixed-methods study

BACKGROUND

Neighborhood characteristics such as poverty and racial composition are associated with inequalities in access to food stores and in the risk of obesity, but the pathways between food environments and health are not well understood. This article extends research on consumer food environments by examining the perspectives of food-store owners and managers.

METHODS

We conducted semistructured, open-ended interviews with managers and owners of 20 food stores in low-income, predominantly African American neighborhoods in Tallahassee, Florida (USA). The interviews were designed to elicit store managers' and owners' views about healthy foods, the local food environment, and the challenges and opportunities they face in creating access to healthy foods. We elicited perceptions of what constitutes "healthy foods" using two free-list questions. The study was designed and implemented in accord with principles of community-based participatory research.

RESULTS

Store owners' and managers' conceptions of "healthy foods" overlapped with public health messages, but (a) agreement about which foods are healthy was not widespread and (b) some retailers perceived processed foods such as snack bars and sugar-sweetened juice drinks as healthy. In semistructured interviews, store owners and managers linked the consumer food environment to factors across multiple levels of analysis, including: business practices such as the priority of making sales and the delocalization of decision-making, macroeconomic factors such as poverty and the cost of healthier foods, individual and family-level factors related to parenting and time constraints, and community-level factors such as crime and decline of social cohesion.

CONCLUSIONS

Our results link food stores to multilevel, ecological models of the food environment. Efforts to reshape the consumer food environment require attention to factors across multiple levels of analysis, including local conceptions of "healthy foods", the business priority of making sales, and policies and practices that favor the delocalization of decision making and constrain access to healthful foods.

Foodscapes of southern Ontario: neighbourhood deprivation and access to healthy and unhealthy food retail

OBJECTIVES

We examined whether access to retail sources of healthy and unhealthy food varies according to level of neighbourhood material deprivation in three Ontario regions and whether urban form characteristics help to explain any such variations.

METHODS

Food retail (FR) outlets were identified from a commercial database for 804 urban neighbourhoods in Toronto, Brampton/Mississauga and Hamilton, Ontario. The median number of healthy and unhealthy FR outlets and percentage of outlets that were unhealthy were derived using 720-metre network buffers based on dissemination blocks and aggregated up to neighbourhood level (census tract). The 2006 Canadian Census was used to derive a composite index of material deprivation and three urban form measures related to zoning and urbanization. Multivariate regression models assessed the association between material deprivation, urban form and each measure of FR access.

RESULTS

Compared with the least deprived areas, the most materially deprived neighbourhoods had 2 to 4 times more healthy and unhealthy FR outlets within 720 metres (~ a 10-minute walk) of where most people lived, with the exception of Toronto, where unhealthy FR was more plentiful in less deprived areas. Urban form measures attenuated these associations for Brampton/Mississauga and Hamilton more so than for Toronto. The percentage of unhealthy outlets was generally unrelated to level of neighbourhood deprivation or urban form characteristics.

CONCLUSION

More deprived neighbourhoods had greater access to both healthy and unhealthy FR outlets, with some variation across study regions. Plentiful access to local retail sources of unhealthy food suggests a possible point of intervention for healthy public policy.

Measuring the healthfulness of food retail stores: variations by store type and neighbourhood deprivation

Background

The consumer nutrition environment has been conceptualised as in-store environmental factors that influence food shopping habits. More healthful in-store environments could be characterised as those which promote healthful food choices such as selling good quality healthy foods or placing them in prominent locations to prompt purchasing. Research measuring the full-range of in-store environmental factors concurrently is limited.

Purpose

To develop a summary score of ‘healthfulness’ composed of nine in-store factors that influence food shopping behaviour, and to assess this score by store type and neighbourhood deprivation.

Methods

A cross-sectional survey of 601 retail food stores, including supermarkets, grocery stores and convenience stores, was completed in Hampshire, United Kingdom between July 2010 and June 2011. The survey measured nine variables (variety, price, quality, promotions, shelf placement, store placement, nutrition information, healthier alternatives and single fruit sale) to assess the healthfulness of retail food stores on seven healthy and five less healthy foods that are markers of diet quality. Four steps were completed to create nine individual variable scores and another three to create an overall score of healthfulness for each store.

Results

Analysis of variance showed strong evidence of a difference in overall healthfulness by store type (p < 0.001). Large and premium supermarkets offered the most healthful shopping environments for consumers. Discount supermarkets, ‘world’, convenience and petrol stores offered less healthful environments to consumers however there was variation across the healthfulness spectrum. No relationship between overall healthfulness and neighbourhood deprivation was observed (p = 0.1).

Conclusions

A new composite measure of nine variables that can influence food choices was developed to provide an overall assessment of the healthfulness of retail food stores. This composite score could be useful in future research to measure the relationship between main food store and quality of diet, and to evaluate the effects of multi-component food environment interventions.