Evidence map›Paper›PMID 39721799›Full record

ArticlePublic health nutrition2024

Acceptability patterns of hypothetic taxes on different types of foods in France.

Florian Manneville, Barthélemy Sarda, Emmanuelle Kesse-Guyot, Sandrine Péneau, Bernard Srour, Julia Baudry, Benjamin Allès, Yann Le Bodo, Serge Hercberg, Mathilde Touvier and 1 more

Abstract read
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In one paragraph

Article in Public health nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Florian MannevilleUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 rue Marcel Cachin, BobignyF-93017, Cedex, France.ORCID 0000-0001-8520-6195
Barthélemy SardaUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 rue Marcel Cachin, BobignyF-93017, Cedex, France.
Emmanuelle Kesse-GuyotUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 rue Marcel Cachin, BobignyF-93017, Cedex, France.
Sandrine PéneauUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 rue Marcel Cachin, BobignyF-93017, Cedex, France.ORCID 0000-0002-3463-0989
Bernard SrourUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 rue Marcel Cachin, BobignyF-93017, Cedex, France.ORCID 0000-0002-1277-3380
Julia BaudryUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 rue Marcel Cachin, BobignyF-93017, Cedex, France.
Benjamin AllèsUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 rue Marcel Cachin, BobignyF-93017, Cedex, France.ORCID 0000-0002-7970-171X
Yann Le BodoDepartment of Human and Social Sciences, EHESP School of Public Health, 15 avenue du Professeur Léon Bernard, CS 74312, RennesF-35043, Cedex, France.
Serge HercbergUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 rue Marcel Cachin, BobignyF-93017, Cedex, France.
Mathilde TouvierUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 rue Marcel Cachin, BobignyF-93017, Cedex, France.
Chantal JuliaUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 74 rue Marcel Cachin, BobignyF-93017, Cedex, France.ORCID 0000-0003-2006-5269

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify patterns of food taxes acceptability among French adults and to investigate population characteristics associated with them.

designCross-sectional data from the NutriNet-Santé e-cohort. Participants completed an

settingNutriNet-Santé prospective cohort study.

participantsAdults (

resultsThe percentage of participants in favour of taxes ranged from 11·5 % for fatty products to 78·0 % for ultra-processed foods. Identified patterns were (1) 'Support all food taxes' (16·9 %), (2) 'Support all but meat and fatty products taxes' (28·9 %), (3) 'Against all but UPF, Nutri-Score and salty products taxes' (26·5 %), (4) 'Against all food taxes' (8·6 %) and (5) 'No opinion' (19·1 %). Pattern 4 had higher proportions of participants with low socio-economic status, BMI above 30 kg/m

conclusionsResults provide strategic information for policymakers responsible for designing food taxes and may help identify determinants of support for or opposition to food taxes in relation to individual or social characteristics or products taxed.

Indexed as

DietFoodFood PreferencesTaxesAdultAgedConsumer BehaviorCross-Sectional StudiesFemaleFranceHumansMaleMiddle AgedProspective StudiesSocioeconomic FactorsSurveys and QuestionnairesAcceptabilityFoodLatent class analysisPopulationTax

Identifiers

PMID39721799
PMCPMC11822589

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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 OpenQuestion graph.