ArticleThe international journal of behavioral nutrition and physical activity2018
Examining the interaction of fast-food outlet exposure and income on diet and obesity: evidence from 51,361 UK Biobank participants.
Article in The international journal of behavioral nutrition and physical activity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 75 papers, 2 of them syntheses that pooled it.
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Who cites it
75 citing papers in PubMed, 2 syntheses or guidelines pooled it, 167 citations in OpenAlex.
- Pooled it
- How does the food environment influence people engaged in weight management? A systematic review and thematic synthesis of the qualitative literature.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022Pooled it
- The moderating role of eating behaviour traits in the association between exposure to hot food takeaway outlets and body fatness.International journal of obesity (2005) · 2023Trial
- Parental Country of Birth and Socioeconomic Disadvantage in Childhood Overweight and Obesity: Evidence From the Growing Healthy Kids Study.AJPM focus · 2026Article
- Article
- The Evolutionary Misfit: Evolution, Epigenetics, and the Rise of Non-Communicable Diseases.Epigenomes · 2025Review
- The UK Food Environment: A Systematic Review of Domains, Methodologies, and Outcomes.Current developments in nutrition · 2025Review
- The Relationship Between Food Environments and Health Outcomes: A Case Study in Lansing, Michigan.International journal of environmental research and public health · 2025Article
- Improving Access to Primordial and Primary Stroke Prevention: Global Considerations.Journal of the American Heart Association · 2025Review
- Exploring the contributing factors of fast food consumption in daily life: a qualitative study of Saudi university students.BMC public health · 2025Article
- Physical and online food outlet availability and its influence on out-of-home dietary behaviours in Great Britain: A repeated cross-sectional study.SSM - population health · 2025Article
- Neighbourhood out-of-home food environment, menu healthiness, and their associations with meal purchasing and diet quality: a multiverse analysis.Nutrition journal · 2025Article
- Article
- Spatial analysis of fast-food accessibility and obesity among adults in Malaysia nationwide.PloS one · 2025Article
- Health impacts of takeaway management zones around schools in six different local authorities across England: a public health modelling study using PRIMEtime.BMC medicine · 2024Article
- Development of an approach to forecast future takeaway outlet growth around schools and population exposure to takeaways in England.International journal of health geographics · 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
- Young people's views and experience of diet-related inequalities in England (UK): a qualitative study.Health promotion international · 2024Article
- Barriers and facilitators to healthy eating in disadvantaged adults living in the UK: a scoping review.BMC public health · 2024Article
- Fast food consumption and its relationship with oral health among US adults: A cross-sectional NHANES-based study.The Saudi dental journal · 2024Article
15 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundHousehold 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.
methodsWe 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/m
resultsIncome 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).
conclusionsOur 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.
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