Evidence map›Paper›PMID 36742430›Full record

ArticleFrontiers in nutrition2023

A novel food processing-based nutrition classification scheme for guiding policy actions applied to the Australian food supply.

Sarah Dickie, Julie Woods, Priscila Machado, Mark Lawrence

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. 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. Article
  5. Review
  6. Modifying the Health Star Rating nutrient profiling algorithm to account for ultra-processing.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Sarah DickieSchool of Exercise and Nutrition Science, Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia.
Julie WoodsSchool of Exercise and Nutrition Science, Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia.
Priscila MachadoSchool of Exercise and Nutrition Science, Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia.
Mark LawrenceSchool of Exercise and Nutrition Science, Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unhealthy diets are a leading risk factor for non-communicable diseases and negatively impact environmental sustainability. Policy actions recommended to address dietary risk factors, such as restrictions on marketing and front-of-pack labelling, are informed by nutrition classification schemes (NCSs). Ultra-processed foods are associated with adverse population and planetary health outcomes, yet the concept is rarely incorporated in nutrition classification schemes for policy actions. This study aims to develop a novel food processing-based nutrition classification scheme for guiding policy actions. A secondary aim is to validate the scheme by classifying food and beverage items in the Australian food supply (face validity) and comparing them to the classifications of existing NCSs (convergent validity). Two versions of a model were developed, classifying foods and beverages in two steps, first using the NOVA classification system and secondly by applying upper thresholds for added free sugars and sodium, producing a binary output of either healthy or unhealthy. All food and beverage items (

Indexed as

food classificationfood policyfood taxfront-of-pack labelling (FOPL)NOVAnutrient profilingnutrition classificationultra-processed food

Identifiers

PMID36742430
PMCPMC9895835

What OpenQuestion holds

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LicenceCC BY
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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.