Evidence map›Paper›PMID 34308112›Full record

ArticleBMJ nutrition, prevention & health2021

Estimating the potential impact of Australia's reformulation programme on households' sodium purchases.

Daisy Coyle, Maria Shahid, Elizabeth Dunford, Cliona Ni Mhurchu, Sarah Mckee, Myla Santos, Barry Popkin, Kathy Trieu, Matti Marklund, Bruce Neal and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ nutrition, prevention & health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

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  14. Estimating the potential impact of the Australian government's reformulation targets on household sugar purchases.The international journal of behavioral nutrition and physical activity · 2021
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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

11 authors at 4 institutions in 4 countries.

Daisy CoyleFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Maria ShahidFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Elizabeth DunfordFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Cliona Ni MhurchuFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Sarah MckeeClient Services, The Nielsen Company Australia, Sydney, New South Wales, Australia.
Myla SantosClient Services, The Nielsen Company Australia, Sydney, New South Wales, Australia.
Barry PopkinDepartment of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Kathy TrieuFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Matti MarklundFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Bruce NealFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Jason WuFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
UNSW Sydney · AUThe George Institute for Global Health · AUTufts University · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOn average, Australian adults consume 3500 mg sodium per day, almost twice the recommended maximum level of intake. The Australian government through the Healthy Food Partnership initiative has developed a voluntary reformulation programme with sodium targets for 27 food categories. We estimated the potential impact of this programme on household sodium purchases (mg/day per capita) and examined potential differences by income level. We also modelled and compared the effects of applying the existing UK reformulation programme targets in Australia.

methodsThis study used 1 year of grocery purchase data (2018) from a nationally representative consumer panel of Australian households (Nielsen Homescan) that was linked with a packaged food and beverage database (FoodSwitch) that contains product-specific sodium information. Potential reductions in per capita sodium purchases were calculated and differences across income level were assessed by analysis of variance. All analyses were modelled to the Australian population in 2018.

resultsA total of 7188 households were included in the analyses. The Healthy Food Partnership targets covered 4307/26 728 (16.1%) unique products, which represented 22.3% of all packaged foods purchased by Australian households in 2018. Under the scenario that food manufacturers complied completely with the targets, sodium purchases will be reduced by 50 mg/day per capita, equivalent to 3.5% of sodium currently purchased from packaged foods. Reductions will be greater in low-income households compared with high-income households (mean difference -7 mg/day, 95% CI -4 to -11 mg/day, p<0.001). If Australia had adopted the UK sodium targets, this would have covered 9927 unique products, resulting in a reduction in per capita sodium purchases by 110 mg/day.

conclusionThe Healthy Food Partnership reformulation programme is estimated to result in a very small reduction to sodium purchases. There are opportunities to improve the programme considerably through greater coverage and more stringent targets.

Indexed as

blood pressure loweringnutrition assessment

Identifiers

PMID34308112
PMCPMC8258059
OpenAlexW3120618646

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.