Evidence map›Paper›PMID 31579525›Full record

ArticleDigital health

The effectiveness of a social media intervention for reducing portion sizes in young adults and adolescents.

Maxine A Sharps, Marion M Hetherington, Pam Blundell-Birtill, Barbara J Rolls, Charlotte El Evans

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
2.4field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Maxine A SharpsSchool of Applied Social Sciences, De Montfort University, UK.ORCID https://orcid.org/0000-0003-4703-8121
Marion M HetheringtonSchool of Psychology, University of Leeds, UK.
Pam Blundell-BirtillSchool of Psychology, University of Leeds, UK.
Barbara J RollsDepartment of Nutritional Sciences, The Pennsylvania State University, USA.
Charlotte El EvansSchool of Food Science and Nutrition, University of Leeds, UK.
University of Leeds · GBDe Montfort University · GBPennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAdolescents and young adults select larger portions of energy-dense food than recommended. The majority of young people have a social media profile, and peer influence on social media may moderate the size of portions selected.

methodsTwo pilot interventions examined whether exposure to images of peers' portions of high-energy-dense (HED) snacks and sugar-sweetened beverages (SSBs) on social media (Instagram) would influence reported desired portions selected on a survey. Confederate peers posted 'their' portions of HED snacks and SSBs on Instagram. At baseline and intervention end participants completed surveys that assessed desired portion sizes.

resultsIn intervention 1, undergraduate students (

conclusionsThese preliminary studies demonstrated that social media is a feasible way to communicate with young people. However, while the intervention influenced young adults' reported desired portions and social norms regarding their peers' portions, no significant impact on desired reported portion sizes was found for HED snacks and SSBs in adolescents. Desired portion sizes of some foods and beverages may be resistant to change via a social media intervention in this age group.

Indexed as

eating behaviournudgingnutritionpeersSocial norms

Identifiers

PMID31579525
PMCPMC6757490
OpenAlexW2975839844

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.