Observational studyInternational journal of health geographics2017
Does exposure to the food environment differ by socioeconomic position? Comparing area-based and person-centred metrics in the Fenland Study, UK.
Observational study in International journal of health geographics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- How Does the University Food Environment Impact Student Dietary Behaviors? A Systematic Review.Frontiers in nutrition · 2022Pooled it
- Identifying co-occurring neighbourhood environmental patterns and their association with health behaviours in a Dutch urban population at high cardiometabolic risk.BMC public health · 2026Article
- Unequal high streets? A spatial analysis of inequalities in health-related amenities in England from 2014-2024.Social science & medicine (1982) · 2026Article
- Territorial inequalities in the food environment of Brazilian metropolitan regions.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2026Article
- The UK Food Environment: A Systematic Review of Domains, Methodologies, and Outcomes.Current developments in nutrition · 2025Review
- Neighborhood matters: An exploration of neighborhood-level disadvantage and cancer preventive behaviors in Hispanic youth with unhealthy weight.Health & place · 2025Article
- Neighbourhood out-of-home food environment, menu healthiness, and their associations with meal purchasing and diet quality: a multiverse analysis.Nutrition journal · 2025Article
- Food outlet availability differs according to area socioeconomic status in Denmark.BMC public health · 2025Article
- Use of individual Google Location History data to identify consumer encounters with food outlets.International journal of health geographics · 2025Article
- Measuring associations between the food environment and dietary habits: comparing the proportion and density of food outlets.BMC public health · 2024Article
- Planning guidance to limit hot food takeaways: Understanding the possible economic impacts.Heliyon · 2024Article
- 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.BMC public health · 2024Article
- Reduced Income and Its Associations with Physical Inactivity, Unhealthy Habits, and Cardiac Complications in the Hypertensive Population.European journal of investigation in health, psychology and education · 2024Article
- Inequalities in Environmental Cancer Risk and Carcinogen Exposures: A Scoping Review.International journal of environmental research and public health · 2023Article
- Neighborhood deprivation, built environment, and overweight in adolescents in the city of Oslo.BMC public health · 2023Article
- Investigating experiences of frequent online food delivery service use: a qualitative study in UK adults.BMC public health · 2022Article
- Understanding the Online Environment for the Delivery of Food, Alcohol and Tobacco: An Exploratory Analysis of 'Dark Kitchens' and Rapid Grocery Delivery Services.International journal of environmental research and public health · 2022Article
- Article
- Assessing physical access to healthy food across United Kingdom: A systematic review of measures and findings.Obesity science & practice · 2022Review
- Dietary Patterns among Older People and the Associations with Social Environment and Individual Factors in Taiwan: A Multilevel Analysis.International journal of environmental research and public health · 2022Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundRetail food environments (foodscapes) are a recognised determinant of eating behaviours and may contribute to inequalities in diet. However, findings from studies measuring socioeconomic inequality in the foodscape have been mixed, which may be due to methodological differences. The aim of this cross-sectional study was to compare exposure to the foodscape by socioeconomic position using different measures, to test whether the presence, direction or amplitude of differences was sensitive to the choice of foodscape metric or socioeconomic indicator.
methodsA sample of 10,429 adults aged 30-64 years with valid home address data were obtained from the Fenland Study, UK. Of this sample, 7270 participants also had valid work location data. The sample was linked to data on food outlets obtained from local government records. Foodscape metrics included count, density and proximity of takeaway outlets and supermarkets, and the percentage of takeaway outlets relative to all food outlets. Exposure metrics were area-based (lower super output areas), and person-centred (proximity to nearest; Euclidean and Network buffers at 800 m, 1 km, and 1 mile). Person-centred buffers were constructed using home and work locations. Socioeconomic status was measured at the area-level (2010 Index of Multiple Deprivation) and the individual-level (highest educational attainment; equivalised household income). Participants were classified into socioeconomic groups and average exposures estimated. Results were analysed using the statistical and percent differences between the highest and lowest socioeconomic groups.
resultsIn area-based measures, the most deprived areas contained higher takeaway outlet densities (p < 0.001). However, in person-centred metrics lower socioeconomic status was associated with lower exposure to takeaway outlets and supermarkets (all home-based exposures p < 0.001) and socioeconomic differences were greatest at the smallest buffer sizes. Socioeconomic differences in exposure was similar for home and combined home and work measures. Measuring takeaway exposure as a percentage of all outlets reversed the socioeconomic differences; the lowest socioeconomic groups had a higher percentage of takeaway outlets compared to the middle and highest groups (p < 0.001).
conclusionsWe compared approaches to measuring socioeconomic variation in the foodscape and found that the association was sensitive to the metric used. In particular, the direction of association varied between area- and person-centred measures and between absolute and relative outlet measures. Studies need to consider the most appropriate measure for the research question, and may need to consider multiple measures as a single measure may be context dependent.
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