Evidence map›Paper›PMID 35731995›Full record

ArticleJournal of public health (Oxford, England)2022

A content analysis of 'junk food' content in children's TV programmes: a comparison of UK broadcast TV and video-on-demand services.

Alexander B Barker, Megan Parkin, Shreesh Sinha, Emma Wilson, Rachael L Murray

Abstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Alexander B BarkerDepartment of Psychology, Nottingham Trent University, Nottingham, NG1 4FQ, UK.ORCID 0000-0003-4568-5114
Megan ParkinAcademic Unit of Population and Lifespan Sciences, Faculty of Medicine and Health Sciences, University of Nottingham, Clinical Sciences Building, City Hospital, Nottingham, NG5 1PB, UK.
Shreesh SinhaAcademic Unit of Population and Lifespan Sciences, Faculty of Medicine and Health Sciences, University of Nottingham, Clinical Sciences Building, City Hospital, Nottingham, NG5 1PB, UK.ORCID 0000-0003-4765-8996
Emma WilsonAcademic Unit of Population and Lifespan Sciences, Faculty of Medicine and Health Sciences, University of Nottingham, Clinical Sciences Building, City Hospital, Nottingham, NG5 1PB, UK.
Rachael L MurrayAcademic Unit of Population and Lifespan Sciences, Faculty of Medicine and Health Sciences, University of Nottingham, Clinical Sciences Building, City Hospital, Nottingham, NG5 1PB, UK.

Funding

Cancer Research UK 27908Cancer Research UK C63710/A27908
6 · The paper itself

Abstract

objectivesExposure to high in fat, sugar or salt (HFSS) food imagery is associated with unhealthy consumption, and subsequently obesity, among young people. We report and compare the results of two content analyses, one of popular children's television channels in the UK and the other of a selection of children's programmes available on video-on-demand (VOD) services.

methodsContent analysis of 3 days' worth of programmes on two popular children's television channels broadcast on UK television (CBeebies and Milkshake as well as a sample of children's programmes available on the VOD platforms (Netflix and Amazon Prime) using 1-min interval coding.

resultsIn children's television channels, HFSS content was seen in 181 episodes (36%) and in 417 intervals (13%) on terrestrial television, 'Milkshake' had a significantly higher proportion of broadcasts, which contained HFSS content than 'CBeebies'. In VOD platforms, HFSS content was seen in 82 episodes (72% of the total number of episodes), across 459 intervals (19% of the total number of intervals), with no significant difference in the proportion of programmes containing HFSS content between Netflix and Amazon Prime.

conclusionsHFSS content is common in both popular UK children's television channels and children programmes on VOD services and is likely having an effect on HFSS consumption in children. Legislative opportunities to prevent this exposure are being missed.

Indexed as

AdvertisingTelevisionAdolescentChildFoodHumansObesityUnited Kingdomchildrenobesitypublic health

Identifiers

PMID35731995
PMCPMC9715287

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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.