Evidence map›Paper›PMID 40018610›Full record

ArticleBMJ public health2024

Social inequalities in the use of online food delivery services and associations with weight status: cross-sectional analysis of survey and consumer data.

Steven Cummins, Alexandra Irene Kalbus, Laura Cornelsen, Jean Adams, Emma Boyland, Thomas Burgoine, Cherry Law, Frank de Vocht, Martin White, Amy Yau

Abstract read
In one paragraph

Article in BMJ public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Profiling users and non-users of meal delivery services in Belgium using latent class analysis.The international journal of behavioral nutrition and physical activity · 2025
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Steven CumminsPopulation Health Innovation Lab, London School of Hygiene & Tropical Medicine, London, UK.
Alexandra Irene KalbusPopulation Health Innovation Lab, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-7388-7074
Laura CornelsenPopulation Health Innovation Lab, London School of Hygiene & Tropical Medicine, London, UK.
Jean AdamsMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Emma BoylandDepartment of Psychology, University of Liverpool, Liverpool, UK.
Thomas BurgoineMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Cherry LawPopulation Health Innovation Lab, London School of Hygiene & Tropical Medicine, London, UK.
Frank de VochtPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Martin WhiteMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Amy YauPopulation Health Innovation Lab, London School of Hygiene & Tropical Medicine, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractBackground: Little is known about who uses online food delivery services and how use of these services is associated with social inequalities in food purchasing and diet-related health. This study explored associations between social position and use of online takeaway food and grocery delivery services, and its association with weight status. Methods: Data were obtained from households in a consumer research panel living in London and the north of England (n=1521) in February 2019. Use of online grocery delivery services was determined via recorded purchases, and takeaway food delivery app use via survey responses. Social position was approximated through occupation-based social grade and household income. We used logistic regression to estimate the association between social position and use of online delivery services, and the relationship between online delivery service use and weight status. Results: Overall, 13.2% of respondents used takeaway food delivery apps over a 7-day period and 15.6% of households used online grocery delivery services over a 4-week period. High-income households were more likely to use online grocery delivery services than low-income households (OR 2.01, 95% CI 1.22 to 3.34). In contrast, households with lower social grade were more likely to use takeaway food delivery apps compared with households in the highest grade (OR 2.31, 95% CI 1.38 to 3.87). While takeaway food delivery app use was positively associated with living with obesity (relative risk ratio 1.84, 95% CI 1.20 to 2.82), use of online grocery delivery services was not. Discussion: Findings indicate that use of online food delivery services is patterned by markers of social position and weight status, which may lead to dietary inequalities. The potential impact of increased and differential usage of online delivery services on diet and dietary inequalities warrants further research.

Indexed as

Body Mass IndexFood ServicesSociodemographic FactorsSupermarkets

Identifiers

PMID40018610
PMCPMC11816591

What OpenQuestion holds

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Registered trials

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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.