Evidence mapPaperPMID 37749593Full record

ArticleThe international journal of behavioral nutrition and physical activity2023

Current food labelling practices in online supermarkets in Australia.

Damian Maganja, Tazman Davies, Laura Sanavio, Jimmy C Y Louie, Mark D Huffman, Kathy Trieu, Jason H Y Wu

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Damian MaganjaThe George Institute for Global Health, The University of New South Wales, Level 5, 1 King St, Newtown, Sydney, NSW, 2042, Australia. dmaganja@georgeinstitute.org.au.ORCID http://orcid.org/0000-0003-1245-3288
Tazman DaviesThe George Institute for Global Health, The University of New South Wales, Level 5, 1 King St, Newtown, Sydney, NSW, 2042, Australia.
Laura SanavioUniversity of California, Berkeley, CA, 94720, USA.
Jimmy C Y LouieThe George Institute for Global Health, The University of New South Wales, Level 5, 1 King St, Newtown, Sydney, NSW, 2042, Australia.
Mark D HuffmanThe George Institute for Global Health, The University of New South Wales, Level 5, 1 King St, Newtown, Sydney, NSW, 2042, Australia.
Kathy TrieuThe George Institute for Global Health, The University of New South Wales, Level 5, 1 King St, Newtown, Sydney, NSW, 2042, Australia.
Jason H Y WuThe George Institute for Global Health, The University of New South Wales, Level 5, 1 King St, Newtown, Sydney, NSW, 2042, Australia.

Funding

Evaluating the Implementation and Scale-Up of Nigeria National Sodium Reduction ProgramUH3HL152381 · UNIVERSITY OF ABUJA · 2025 to 2025
$669k
NHLBI NIH HHS UH3 HL152381
6 · The paper itself

Abstract

backgroundFood product labelling can support consumer decision-making. Several food product labels (nutrition information panels (NIPs), ingredients lists, allergen declarations and country-of-origin) are mandated for physical product packaging in Australia, with a voluntary front-of-pack nutrition labelling system, Health Star Ratings (HSRs), also available. However, labelling requirements are not explicitly extended to online settings and the extent to which this information is available in these increasingly important food environments has not been assessed.

methodsData from all individual food product pages was collected from the online stores of the two dominant supermarket retailers in Australia using automated web scraping in April-May 2022 (n = 22,077 products collected). We assessed the proportion of pages displaying NIPs, ingredients, allergens, country-of-origin and HSRs after excluding products ineligible to display the respective label. We also assessed whether HSRs were differentially available for higher- (healthier) and lower-scoring (less healthy) products, with HSR scores drawn from a comprehensive Australian food composition database, FoodSwitch. A manual inspection of randomly selected product pages (n = 100 for each label type per supermarket), drawn from products displaying the relevant label, was conducted to assess whether the labels were immediately visible to users (i.e. without scrolling or clicking). Differences in labelling prevalence and visibility were compared using chi-squared tests.

resultsAcross both supermarkets, country-of-origin labelling was almost complete (displayed on 93% of food product pages), but NIPs (49%), ingredients (34%) and allergens (53%) were less frequently displayed. HSRs were infrequently displayed (14% across both supermarkets) and more likely to be applied to higher-scoring products (22% on products with ≥ 3.5HSR v 0.4% on products with < 3.5HSR, p < 0.001). One supermarket was far more likely to make NIPs (100% v 2%, p < 0.001), ingredients (100% v 19%, p < 0.001) and allergens (97% v 0%, p < 0.001) information immediately visible, though the other made HSRs more apparent (22% v 75%, p < 0.001). Both supermarkets displayed country-of-origin labels prominently (100% v 86%, p < 0.001).

conclusionsFood product labelling varies in online supermarkets in Australia overall and between supermarkets, while the design of online stores resulted in differences in labelling visibility. The near-complete display of country-of-origin labels and differential application of HSRs to higher-scoring products may reflect their use as marketing tools. Our findings highlight an urgent need for food labelling regulations to be updated to better account for online retail food environments.

Indexed as

Food LabelingFood MarketsAustraliaDatabases, FactualFoodHumansFood environmentsFood labellingOnline shopping

Identifiers

PMID37749593
PMCPMC10521447

What Socratic holds

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LicenceCC BY
Read underepoch 390

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 Socratic graph.