Evidence map›Paper›PMID 39663980›Full record

ArticlePublic health nutrition2024

Characterising the extent and nature of digital food and beverage marketing in Singapore: a descriptive study.

Xin Hui Chua, Clare Whitton, Stefanie Vandevijvere, Bridget Kelly, Rob M van Dam, Salome A Rebello

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 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Xin Hui ChuaSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, 117549Singapore.ORCID 0000-0001-7313-4681
Clare WhittonSchool of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA6027, Australia.
Stefanie VandevijvereDepartment of Epidemiology and Public Health, Sciensano (Scientific Institute of Public Health), Brussels, Belgium.
Bridget KellyEarly Start, School of Health and Society, University of Wollongong, Northfields Avenue, Wollongong, NSW2522, Australia.
Rob M van DamSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, 117549Singapore.
Salome A RebelloSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, 117549Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objective

settingFood and beverage advertisements within twenty clicks on the top twelve non-food websites and all posts on the Facebook and Instagram pages of fifteen major food companies in Singapore were sampled from 1 January to 30 June 2018.

designAdvertised foods were classified as being core (healthier), non-core or mixed dishes (e.g. burger) using the WHO nutrient profile model and national guidelines. Marketing techniques were assessed using published coding frameworks.

participantsNA.

resultsAdvertisements (

conclusionsTop food and beverage companies in Singapore actively use social media as a platform for promotion with a complex array of marketing techniques. A vast majority of these posts were unhealthy highlighting an urgent need to consider regulating digital food and beverage advertising in Singapore.

Indexed as

AdvertisingBeveragesFoodFood IndustryMarketingSocial MediaHumansInternetSingaporeAdvertisementsAsianFood and beverageMarketingOnlineSocial media

Identifiers

PMID39663980
PMCPMC11822605

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.