Evidence map›Paper›PMID 38557499›Full record

ArticlePublic health nutrition2024

The use of food processing terminology in Australian news media: a content analysis.

Cherie Russell, Katherine E Sievert, Sarah Dickie, Priscila Pereira Machado

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Research roadmap for ultra-processed foods in the context of the Australian food system.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2025
    Article
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

4 authors.

Cherie RussellSchool of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC3125, Australia.ORCID 0000-0003-1251-4810
Katherine E SievertGlobal Centre for Preventive Health and Nutrition, Deakin University, Geelong, VIC, Australia.ORCID 0000-0003-4617-8034
Sarah DickieHealthy Food Systems Australia, Melbourne, VIC, Australia.
Priscila Pereira MachadoSchool of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC3125, Australia.ORCID 0000-0003-4607-5094

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to determine whether ultra-processed foods (UPFs) are being discussed in news media in Australia and whether this terminology, as described in the NOVA system, is being applied accurately.

designInterpretive content analysis of online and print media articles that mentioned UPFs from 2009 to 2023 in Australia.

settingAustralia.

participantsOnline and print media articles.

resultsA total of two hundred ninety-eight Australian media articles were captured. A substantial increase in the number of UPF articles was observed between 2017-2019 and 2021-2023. The UPF concept was inaccurately explained or defined in 32 % of the articles and was frequently used interchangeably with other descriptors, such as 'highly or heavily processed food', 'junk food', 'unhealthy food', 'packaged food' and 'discretionary food'. Most of the articles had a health focus; however, sustainability interest increased, particularly in the past 18 months.

conclusionsUPFs are increasingly being discussed in news media in Australia; however, the concept is still incorrectly presented in over a third of articles. This highlights the importance of improving the literacy about UPFs to ensure that messages are communicated in a way that is salient, accessible and accurate.

Indexed as

Food HandlingMass MediaAustraliaDietFast FoodsFoodHumansFood processingNews mediaNOVAUltra-processed foods

Identifiers

PMID38557499
PMCPMC11036430

What OpenQuestion holds

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LicenceCC BY
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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.