Evidence map›Paper›PMID 38806695›Full record

ArticleNature food2024

Switches in food and beverage product purchases can reduce greenhouse gas emissions in Australia.

Allison Gaines, Maria Shahid, Daisy Coyle, Eden Barrett, Michalis Hadjikakou, Jason H Y Wu, Fraser Taylor, Simone Pettigrew, Bruce Neal, Paraskevi Seferidi

Abstract read
In one paragraph

Article in Nature food, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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.

Allison GainesDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. a.gaines20@imperial.ac.uk.ORCID http://orcid.org/0000-0002-2026-2038
Maria ShahidThe George Institute for Global Health, Sydney, New South Wales, Australia.
Daisy CoyleThe George Institute for Global Health, Sydney, New South Wales, Australia.
Eden BarrettThe George Institute for Global Health, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0003-0190-6130
Michalis HadjikakouSchool of Life and Environmental Sciences, Centre for Integrative Ecology, Deakin University, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-3667-3982
Jason H Y WuThe George Institute for Global Health, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0003-2073-3562
Fraser TaylorThe George Institute for Global Health, Sydney, New South Wales, Australia.
Simone PettigrewThe George Institute for Global Health, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0003-3921-1174
Bruce NealDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Paraskevi SeferidiPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Switching between similar food and beverage products may reduce greenhouse gas emissions (GHGe). Here, using consumer data linked to 23,550 product-specific GHGe values, we estimated annual GHGe attributable to product purchases consumed at home in Australia and calculated reductions from specific switches. Potential changes to mean Health Star Rating, mean energy density and the proportion of ultraprocessed foods purchased were assessed. Approximately 31 million tonnes of GHGe were attributable to products consumed at home in 2019, the three highest contributors of GHGe being 'meat and meat products' (49%), 'dairy' (17%) and 'non-alcoholic beverages' (16%). Switching higher-emission products for 'very similar' lower-emission products could reduce total emissions by 26%. Switches to 'less similar' lower-emission products could lead to a 71% reduction. Switches had little impact on the average Health Star Rating, energy density of purchases and proportion of ultraprocessed foods purchased. Directing manufacturing and marketing towards lower-environmental-impact products and signposting such options to consumers are key.

Indexed as

BeveragesConsumer BehaviorGreenhouse GasesAustraliaFoodGreenhouse EffectHumansGreenhouse Gases

Identifiers

PMID38806695
PMCPMC11199139

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.