Evidence map›Paper›PMID 30041671›Full record

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.

Thomas Burgoine, Chinmoy Sarkar, Chris J Webster, Pablo Monsivais

Erratum issuedOpen access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 2 pooled it
18.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 2 syntheses or guidelines pooled it, 167 citations in OpenAlex.

  1. Pooled it
  2. 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 · 2022
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  8. The Relationship Between Food Environments and Health Outcomes: A Case Study in Lansing, Michigan.International journal of environmental research and public health · 2025
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15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 3 countries.

Thomas BurgoineUKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK. tb464@medschl.cam.ac.uk.ORCID 0000-0001-6936-3801
Chinmoy SarkarHealthy High Density Cities Lab, HKUrbanLab, University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong, Special Administrative Region, China.
Chris J WebsterHealthy High Density Cities Lab, HKUrbanLab, University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong, Special Administrative Region, China.
Pablo MonsivaisUKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
University of Hong Kong · HKUniversity of Cambridge · GBWashington State University Spokane · US

Funding

British Heart FoundationCancer Research UKMedical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/K023187/1Wellcome Trust 087636/Z/08/Z
6 · The paper itself

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.

Indexed as

DietFast FoodsFeeding BehaviorIncomePovertyResidence CharacteristicsAdipose TissueAdiposityBiological Specimen BanksBody Mass IndexBody WeightCohort StudiesCross-Sectional StudiesEnvironmentFemaleHumansAdiposityFast-food outlet exposureHousehold incomeInteractionProcessed meat consumptionUK biobank

Identifiers

PMID30041671
PMCPMC6497220
OpenAlexW2884721715

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.