Acceptability patterns of hypothetic taxes on different types of foods in France
Abstract Objective: To identify patterns of food taxes acceptability among French adults and to investigate population characteristics associated with them. Design: Cross-sectional data from the NutriNet-Santé e-cohort. Participants completed an ad hoc web-based questionnaire to test patterns of...
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| Language: | English |
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Cambridge University Press
2025-01-01
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| Series: | Public Health Nutrition |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S1368980024002556/type/journal_article |
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| author | Florian Manneville Barthélemy Sarda Emmanuelle Kesse-Guyot Sandrine Péneau Bernard Srour Julia Baudry Benjamin Allès Yann Le Bodo Serge Hercberg Mathilde Touvier Chantal Julia |
| author_facet | Florian Manneville Barthélemy Sarda Emmanuelle Kesse-Guyot Sandrine Péneau Bernard Srour Julia Baudry Benjamin Allès Yann Le Bodo Serge Hercberg Mathilde Touvier Chantal Julia |
| author_sort | Florian Manneville |
| collection | DOAJ |
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Abstract
Objective:
To identify patterns of food taxes acceptability among French adults and to investigate population characteristics associated with them.
Design:
Cross-sectional data from the NutriNet-Santé e-cohort. Participants completed an ad hoc web-based questionnaire to test patterns of hypothetical food taxes acceptability (i.e. overall perception combined with reasons for supporting or not) on eight food types: fatty foods, salty foods, sugary foods, fatty and salty foods, fatty and sugary products, meat products, foods/beverages with unfavourable front-of-pack nutrition label and ‘ultra-processed foods’. Sociodemographic and anthropometric characteristics and dietary intakes (24-h records) were self-reported. Latent class analysis was used to identify patterns of food taxes acceptability.
Setting:
NutriNet-Santé prospective cohort study.
Participants:
Adults (n 27 900) engaged in the French NutriNet-Santé e-cohort.
Results:
The 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/m2 and who had consumption of foods targeted by the tax above the median.
Conclusions:
Results 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.
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| format | Article |
| id | doaj-art-ffc272b496c74875933773e627578ddd |
| institution | Kabale University |
| issn | 1368-9800 1475-2727 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Public Health Nutrition |
| spelling | doaj-art-ffc272b496c74875933773e627578ddd2025-01-22T08:56:47ZengCambridge University PressPublic Health Nutrition1368-98001475-27272025-01-012810.1017/S1368980024002556Acceptability patterns of hypothetic taxes on different types of foods in FranceFlorian Manneville0https://orcid.org/0000-0001-8520-6195Barthélemy Sarda1Emmanuelle Kesse-Guyot2Sandrine Péneau3https://orcid.org/0000-0002-3463-0989Bernard Srour4https://orcid.org/0000-0002-1277-3380Julia Baudry5Benjamin Allès6https://orcid.org/0000-0002-7970-171XYann Le Bodo7Serge Hercberg8Mathilde Touvier9Chantal Julia10https://orcid.org/0000-0003-2006-5269Université 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, Bobigny F-93017, Cedex, FranceUniversité 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, Bobigny F-93017, Cedex, FranceUniversité 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, Bobigny F-93017, Cedex, FranceUniversité 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, Bobigny F-93017, Cedex, FranceUniversité 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, Bobigny F-93017, Cedex, FranceUniversité 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, Bobigny F-93017, Cedex, FranceUniversité 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, Bobigny F-93017, Cedex, FranceDepartment of Human and Social Sciences, EHESP School of Public Health, 15 avenue du Professeur Léon Bernard, CS 74312, Rennes F-35043, Cedex, France University of Rennes, Arènes Research Unit, UMR CNRS 6051, Rennes F-35000, FranceUniversité 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, Bobigny F-93017, Cedex, France Public Health Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, FranceUniversité 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, Bobigny F-93017, Cedex, FranceUniversité 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, Bobigny F-93017, Cedex, France Public Health Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France Abstract Objective: To identify patterns of food taxes acceptability among French adults and to investigate population characteristics associated with them. Design: Cross-sectional data from the NutriNet-Santé e-cohort. Participants completed an ad hoc web-based questionnaire to test patterns of hypothetical food taxes acceptability (i.e. overall perception combined with reasons for supporting or not) on eight food types: fatty foods, salty foods, sugary foods, fatty and salty foods, fatty and sugary products, meat products, foods/beverages with unfavourable front-of-pack nutrition label and ‘ultra-processed foods’. Sociodemographic and anthropometric characteristics and dietary intakes (24-h records) were self-reported. Latent class analysis was used to identify patterns of food taxes acceptability. Setting: NutriNet-Santé prospective cohort study. Participants: Adults (n 27 900) engaged in the French NutriNet-Santé e-cohort. Results: The 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/m2 and who had consumption of foods targeted by the tax above the median. Conclusions: Results 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. https://www.cambridge.org/core/product/identifier/S1368980024002556/type/journal_articleFoodTaxAcceptabilityPopulationLatent class analysis |
| spellingShingle | Florian Manneville Barthélemy Sarda Emmanuelle Kesse-Guyot Sandrine Péneau Bernard Srour Julia Baudry Benjamin Allès Yann Le Bodo Serge Hercberg Mathilde Touvier Chantal Julia Acceptability patterns of hypothetic taxes on different types of foods in France Public Health Nutrition Food Tax Acceptability Population Latent class analysis |
| title | Acceptability patterns of hypothetic taxes on different types of foods in France |
| title_full | Acceptability patterns of hypothetic taxes on different types of foods in France |
| title_fullStr | Acceptability patterns of hypothetic taxes on different types of foods in France |
| title_full_unstemmed | Acceptability patterns of hypothetic taxes on different types of foods in France |
| title_short | Acceptability patterns of hypothetic taxes on different types of foods in France |
| title_sort | acceptability patterns of hypothetic taxes on different types of foods in france |
| topic | Food Tax Acceptability Population Latent class analysis |
| url | https://www.cambridge.org/core/product/identifier/S1368980024002556/type/journal_article |
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