Evidence map›Paper›PMID 38269541›Full record

ArticlePublic health nutrition2024

Food marketing on digital platforms: what do teens see?

Charlene D Elliott, Emily Truman

Abstract read
In one paragraph

Article in Public health nutrition, 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.

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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

2 authors.

Charlene D ElliottUniversity of Calgary, Communication, Media and Film, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada.ORCID 0000-0003-2615-2144
Emily TrumanUniversity of Calgary, Communication, Media and Film, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada.ORCID 0000-0003-3377-9869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGiven the aggressive marketing of foods and beverages to teenagers on digital platforms, and the paucity of research documenting teen engagement with food marketing and its persuasive content, the objective of this study is to examine what teenagers see as teen-targeted food marketing on four popular digital platforms and to provide insight into the persuasive power of that marketing.

designThis is an exploratory, participatory research study, in which teenagers used a special mobile app to capture all teen-targeted food and beverage marketing they saw on digital media for 7 d. For each ad, participants identified the brand, product and specific appeals that made it teen-targeted, as well as the platform on which it was found.

settingOnline (digital media) with teenagers in Canada.

participantsTwo hundred and seventy-eight teenagers, aged 13-17 years, were participated. Most participants were girls (63 %) and older teenagers (58 % aged 16-17 years).

resultsParticipants captured 1392 teen-targeted food advertisements from Instagram, Snapchat, TikTok and YouTube. The greatest number of food marketing examples came from Instagram (46 %) (with no difference across genders or age), while beverages (28·7 %), fast food (25·1 %) and candy/chocolate were the top categories advertised. When it comes to persuasive power, visual style was the top choice across all platforms and participants, with other top techniques (special offer, theme and humour), ranking differently, depending on age, gender and platform.

conclusionsThis study provides insight into the nature of digital food marketing and its persuasive power for teenagers, highlighting considerations of selection and salience when it comes to examining food marketing and monitoring.

Indexed as

Food IndustryInternetAdolescentAdvertisingBeveragesFast FoodsFemaleFoodHumansMaleMarketingDigital mediaDigital platformsFood marketingMarketing appealsPersuasive powerTeenagers

Identifiers

PMID38269541
PMCPMC10882529

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.