Manneville Florian, Sarda Barthélemy, Kesse-Guyot Emmanuelle, Péneau Sandrine, Srour Bernard, Baudry Julia, Allès Benjamin, Le Bodo Yann, Hercberg Serge, Touvier Mathilde, Julia Chantal
Université 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.
Department of Human and Social Sciences, EHESP School of Public Health, 15 avenue du Professeur Léon Bernard, CS 74312, RennesF-35043, Cedex, France.
Public Health Nutr. 2024 Dec 26;28(1):e18. doi: 10.1017/S1368980024002556.
To identify patterns of food taxes acceptability among French adults and to investigate population characteristics associated with them.
Cross-sectional data from the NutriNet-Santé e-cohort. Participants completed an 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.
NutriNet-Santé prospective cohort study.
Adults ( 27 900) engaged in the French NutriNet-Santé e-cohort.
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/m and who had consumption of foods targeted by the tax above the median.
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.
确定法国成年人对食品税的接受模式，并调查与之相关的人群特征。
来自NutriNet-Santé电子队列的横断面数据。参与者完成了一份基于网络的问卷，以测试对八种食品类型的假设食品税接受模式（即总体看法以及支持或不支持的原因）：高脂肪食品、高盐食品、高糖食品、高脂肪和高盐食品、高脂肪和高糖产品、肉类产品、营养标签不佳的食品/饮料以及“超加工食品”。社会人口统计学和人体测量学特征以及饮食摄入量（24小时记录）均为自我报告。采用潜在类别分析来确定食品税接受模式。
NutriNet-Santé前瞻性队列研究。
参与法国NutriNet-Santé电子队列的成年人（27900名）。
支持征税的参与者比例从高脂肪产品的11.5%到超加工食品的78.0%不等。确定的模式有：（1）“支持所有食品税”（16.9%），（2）“支持除肉类和高脂肪产品税之外的所有税”（28.9%），（3）“反对除超加工食品、营养评分和高盐产品税之外的所有税”（26.5%），（4）“反对所有食品税”（8.6%）和（5）“无意见”（19.1%）。模式4中社会经济地位较低、体重指数高于30kg/m²且对征税目标食品的消费量高于中位数的参与者比例较高。
研究结果为负责设计食品税的政策制定者提供了战略信息，并可能有助于确定与个人或社会特征或征税产品相关的支持或反对食品税的决定因素。
