Evidence map›Paper›PMID 40221548›Full record

ArticleInternational journal of obesity (2005)2025

Prevalence of online food delivery platforms, meal kit delivery, and online grocery use in five countries: an analysis of survey data from the 2022 International Food Policy Study.

Rebecca Bennett, Clara Gomez-Donoso, Christina Zorbas, Gary Sacks, Christine M White, David Hammond, Adyya Gupta, Adrian James Cameron, Lana Vanderlee, Alejandra Contreras-Manzano and 1 more

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

11 authors.

Rebecca BennettGlobal Centre for Preventive Health and Nutrition, Institute of Health Transformation, Deakin University, Geelong, VIC, Australia. bennettr@deakin.edu.au.ORCID 0000-0002-0686-9853
Clara Gomez-DonosoGlobal Centre for Preventive Health and Nutrition, Institute of Health Transformation, Deakin University, Geelong, VIC, Australia.
Christina ZorbasGlobal Centre for Preventive Health and Nutrition, Institute of Health Transformation, Deakin University, Geelong, VIC, Australia.
Gary SacksGlobal Centre for Preventive Health and Nutrition, Institute of Health Transformation, Deakin University, Geelong, VIC, Australia.ORCID 0000-0001-9736-1539
Christine M WhiteSchool of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
David HammondSchool of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
Adyya GuptaGlobal Centre for Preventive Health and Nutrition, Institute of Health Transformation, Deakin University, Geelong, VIC, Australia.
Adrian James CameronGlobal Centre for Preventive Health and Nutrition, Institute of Health Transformation, Deakin University, Geelong, VIC, Australia.
Lana VanderleeSchool of Nutrition, Centre NUTRISS (Nutrition, Santé et Société), Université Laval, Quebec, QC, G1V 0A6, Canada.
Alejandra Contreras-ManzanoCenter for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico.
Kathryn BackholerGlobal Centre for Preventive Health and Nutrition, Institute of Health Transformation, Deakin University, Geelong, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnline food retail use is rapidly increasing in popularity, and offers user-friendly apps, and new food delivery models, including online food delivery platforms, online grocery retailers, and online meal kit delivery. We aimed to: (1) quantify the prevalence of online food retail platform use by adults across Australia, Canada, Mexico, the United Kingdom and the United States, and to (2) assess the associations between sociodemographic and behavioural factors and use of online food retail platforms.

methodsA cross-sectional online survey was conducted with adults as part of the 2022 International Food Policy Survey (n = 19,877). We described the frequency of use and number of meals ordered using different online food retail and delivery platforms. Logistic regression models were fitted to assess associations between the use of online food retail and delivery platforms, and sociodemographic and behavioural factors (including age, sex, household composition, BMI, income adequacy, ethnicity, cooking skills, nutrition knowledge, and frequency of food preparation).

resultsOnline ordering was more prevalent in Mexico (72%), and in the United States (62%) in comparison with Australia, Canada, or the United Kingdom (45-56%). Overall, across all countries, 58% of participants used online retail and delivery platforms, most commonly online orders from restaurants (36% of participants), online supermarkets (28%), online meal kits (14%), online only grocery stores (11%), and online convenience stores (11%). The odds of using online restaurants was significantly higher for men (OR: 1.23, 95% CI: 1.14-1.33) and participants aged 18-29 (compared to those 60 years or older) (OR: 6.10, 95% CI: 5.34-7.00). Participants aged 18-29 also had the highest odds of using online convenience stores (OR: 7.51, 95% CI: 5.71-9.88). Participants living with primary school aged children had higher odds of using online supermarkets compared to those without children (OR: 2.56, 95% CI: 2.22-2.94).

conclusionsA substantial proportion of people are buying food online. Efforts to improve population diets need to ensure that online food retail platforms support good health and nutrition.

Indexed as

InternetNutrition PolicyAdolescentAdultAgedAustraliaCanadaCross-Sectional StudiesFeeding BehaviorFemaleHumansMaleMealsMexicoMiddle AgedPrevalence

Identifiers

PMID40221548
PMCPMC12283340

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.