Evidence map›Paper›PMID 36503612›Full record

ArticleThe international journal of behavioral nutrition and physical activity2022

Socio-economic difference in purchases of ultra-processed foods in Australia: an analysis of a nationally representative household grocery purchasing panel.

Daisy H Coyle, Liping Huang, Maria Shahid, Allison Gaines, Gian Luca Di Tanna, Jimmy Chun Yu Louie, Xiongfei Pan, Matti Marklund, Bruce Neal, Jason H Y Wu

Open access · goldAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Ultra-processed food supply in hospitals: A cross-sectional analysis of Australian hospitals using cook fresh foodservices.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2026
    Article
  3. How do supermarkets shape the experience of vulnerable people in Australia's food system? A scoping review.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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
  13. Article
  14. Rural Food Forward: An Appetite for Change.The Australian journal of rural health · 2025
    Article
  15. Using a systems thinking approach to map the global rise of ultra-processed foods in population diets.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  16. Article
  17. 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
  18. Article
  19. Article
  20. 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

10 authors at 5 institutions in 4 countries.

Daisy H CoyleFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia. dcoyle@georgeinstitute.org.au.
Liping HuangFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia.
Maria ShahidFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia.
Allison GainesFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia.
Gian Luca Di TannaFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia.
Jimmy Chun Yu LouieFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia.
Xiongfei PanKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Matti MarklundFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia.
Bruce NealFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia.
Jason H Y WuFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia.
The George Institute for Global Health · AUImperial College London · GBUNSW Sydney · AUSichuan University · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsumption of ultra-processed foods is associated with increased risk of obesity and non-communicable diseases. Little is known about current patterns of ultra-processed foods intake in Australia. The aim of this study was to examine the amount and type of ultra-processed foods purchased by Australian households in 2019 and determine whether purchases differed by socio-economic status (SES). We also assessed whether purchases of ultra-processed foods changed between 2015 and 2019. 

methodsWe used grocery purchase data from a nationally representative consumer panel in Australia to assess packaged and unpackaged grocery purchases that were brought home between 2015 to 2019. Ultra-processed foods were identified according to the NOVA system, which classifies foods according to the nature, extent and purpose of industrial food processing. Purchases of ultra-processed foods were calculated per capita, using two outcomes: grams/day and percent of total energy. The top food categories contributing to purchases of ultra-processed foods in 2019 were identified, and differences in ultra-processed food purchases by SES (Index of Relative Social Advantage and Disadvantage) were assessed using survey-weighted linear regression. Changes in purchases of ultra-processed foods between 2015 to 2019 were examined overall and by SES using mixed linear models.

resultsIn 2019, the mean ± SD total grocery purchases made by Australian households was 881.1 ± 511.9 g/d per capita. Of this, 424.2 ± 319.0 g/d per capita was attributable to purchases of ultra-processed foods, which represented 56.4% of total energy purchased. The largest food categories contributing to total energy purchased included mass-produced, packaged breads (8.2% of total energy purchased), chocolate and sweets (5.7%), biscuits and crackers (5.7%) and ice-cream and edible ices (4.3%). In 2019, purchases of ultra-processed foods were significantly higher for the lowest SES households compared to all other SES quintiles (P < 0.001). There were no major changes in purchases of ultra-processed foods overall or by SES over the five-year period.

conclusionsBetween 2015 and 2019, ultra-processed foods have consistently made up the majority of groceries purchased by Australians, particularly for the lowest SES households. Policies that reduce ultra-processed food consumption may reduce diet-related health inequalities.

Indexed as

Consumer BehaviorFood, ProcessedAustraliaFamily CharacteristicsFast FoodsFoodHumansDietFood supplyNutritionProcessingSocio-economic statusUltra-processed food

Identifiers

PMID36503612
PMCPMC9742014
OpenAlexW4311123015

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.