Evidence map›Paper›PMID 38113090›Full record

ArticleJMIR public health and surveillance2023

Association Between Household Online Grocery Delivery Service Use and Food and Drink Purchase Behavior in England: Cross-Sectional Analysis.

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

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2023. 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
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
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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

9 authors at 4 institutions in 1 country.

Amy YauDepartment of Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0001-8889-523X
Cherry LawDepartment of Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0003-0686-1998
Laura CornelsenDepartment of Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0003-3769-8740
Jean AdamsMedical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-5733-7830
Emma BoylandDepartment of Psychology, Institute of Population Health, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0001-8384-4994
Thomas BurgoineMedical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-6936-3801
Frank de VochtPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-3631-627X
Martin WhiteMedical Research Council (MRC) Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-1861-6757
Steven CumminsDepartment of Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-3957-4357
London School of Hygiene & Tropical Medicine · GBUniversity of Cambridge · GBNational Institute for Health Research · GBUniversity of Liverpool · GB

Funding

Medical Research Council MC_UU_00006/7Medical Research Council MR/P021999/1
6 · The paper itself

Abstract

backgroundOnline grocery delivery services (OGDSs) are a popular way of acquiring food. However, it is unclear whether OGDS use is associated with the healthiness of purchases and whether there are sociodemographic differences in OGDS use. If so, the increased prevalence of OGDS use may have implications for population diet, and differential OGDS use could contribute to diet inequalities.

objectiveThis study aimed to examine whether OGDS use varies by sociodemographic characteristics and is associated with the amount and types of groceries purchased.

methodsItem-level take-home food and drink purchase data (n=3,233,920 items) from households in London and the North of England were available from the 2019 UK Kantar fast-moving consumer goods panel (N=1911). Purchases were categorized as being bought online or in-store. We used logistic regression to estimate the likelihood of an above-median frequency of OGDS use by sociodemographic characteristics. We used Poisson regression to estimate the differences in energy and nutrients purchased by households that had above- and below-median OGDS use and the proportion of energy purchased from products high in fat, salt, and sugar (HFSS) online versus in-store among households that used both shopping methods (n=665).

resultsIn total, 668 (35%) households used OGDSs at least once in 2019. Of the households that used OGDSs, the median use was 5 occasions in 2019. Households were more likely to have above-median use in London versus in the North of England (odds ratio 1.29, 95% CI 1.01-1.65) and if they had a higher annual household income (odds ratio 1.56, 95% CI 1.02-2.38 for ≥£50,000 [US $64,000] vs <£20,000 [$25,600]). Households with above-median OGDS use had a higher weekly mean purchase of energy by 1461 (95% CI 1448-1474) kcal per person compared with households with below-median OGDS use. For households that used a combination of in-store and online shopping, HFSS products made up a lower proportion (-10.1%, 95% CI -12% to -8.1%) of energy purchased online compared to in-store.

conclusionsDifferences in grocery purchases between households with above- and below-median OGDS use could have positive or negative consequences. The extra energy purchased among households with above-median OGDS use could lead to overconsumption or food waste, which has negative consequences for population and environmental health. Alternatively, this extra energy may be replacing out-of-home purchasing, which tends to be less healthy, and may be beneficial for the population diet. Households made fewer HFSS purchases when shopping online compared to in-store, which may be due to differences in the shopping environment or experience, such as fewer promotions and advertisements when shopping online or not having to transport and carry purchases home. As higher-income households used OGDS more frequently, the implications of this sociodemographic pattern on dietary inequalities must be explored.

Indexed as

FoodRefuse DisposalCross-Sectional StudiesDietEnglandHumansconsumer behaviordeliverydietfood and beveragesfood preferencesfood purchasegrocerygrocery purchaseinequalityinternetlifestyleonlineonline groceryonline purchasepublic healthsociodemographic factorssupermarkets

Identifiers

PMID38113090
PMCPMC10762614
OpenAlexW4389979880

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.