Dietary consumption trajectory profiles over time of French adults from the NutriNet-Santé cohort (2014-2022): multicriteria analysis of sustainability.

IF 5.6 1区医学 Q1 NUTRITION & DIETETICS

International Journal of Behavioral Nutrition and Physical Activity Pub Date : 2025-06-13 DOI:10.1186/s12966-025-01777-w

Hafsa Toujgani, Juhui Wang, Elie Perraud, Julia Baudry, Justine Berlivet, Benjamin Allès, Hélène Fouillet, Serge Hercberg, Mathilde Touvier, Denis Lairon, Philippe Pointereau, Christian Couturier, François Mariotti, Emmanuelle Kesse-Guyot

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引用次数: 0

Abstract

Background: Dietary patterns significantly impact climate change and morbidity, making transitions to sustainable diets urgent. Few studies explore repeated dietary measures collected over several years or variations across distinct consumer profiles characterized by sociodemographic and dietary patterns.

Objective: Our study aims to identify dietary trajectory profiles in French adults (2014-2022), assessing environmental, nutritional, and health outcomes.

Methods: Consumption data from 17,187 NutriNet-Santé cohort participants (52% women, average age 48y, SD = 16) were collected via food frequency questionnaires in 2014 (weighted to the French Census), 2018, and 2022. Dietary trajectory profiles were modeled using Group-based multi-trajectory modeling based on principal component analysis of energy-adjusted consumption data. Associations with environmental (greenhouse gas (GHG) emissions) and nutritional (adherence to French dietary guidelines, diet quality index) dimensions were assessed via multivariable mixed models. Health impacts were evaluated as Disability-Adjusted Life Years (DALYs)avoided, using the Comparative Risk Assessment approach.

Results: Six dietary trajectory profiles (P) with distinct starting diets and evolutions were identified. P0 had average intakes, while P1 and P5 were meat-focused, with P5 showing the highest animal consumption. P3 and P4 leaned plant-based, with P4 maintaining high fish and plant intakes, and P3 increasing ruminant meat. P2 initially high in salty or sweet fatty foods, shifted significantly toward plant-based diets. Over time, GHG emissions decreased (- 5% to - 14%), diet quality (PNNS-GS2 score) improved (+ 12% to + 174%), and health risks declined in four profiles due to reduced red meat and higher whole grains/fruits but increased for P4 and P5 due to processed meat.

Conclusion: These profiles reflect diverse population segments with distinct dietary profiles and degrees of sustainability improvements. However, significant advancements remain limited, highlighting the need for further research on economic, psychological, and cultural factors to guide sustainable changes.

Trial registration: Trial registration number: NCT03335644. URL of registration: https://clinicaltrials.gov/study/NCT03335644?id=NCT03335644&rank=1.

查看原文本刊更多论文

nutrinet - sant队列中法国成年人的饮食消费轨迹（2014-2022）：可持续性的多标准分析

背景：饮食模式显著影响气候变化和发病率，迫切需要向可持续饮食过渡。很少有研究探索多年来收集的重复饮食测量数据或以社会人口统计学和饮食模式为特征的不同消费者概况的变化。目的：我们的研究旨在确定法国成年人（2014-2022年）的饮食轨迹，评估环境、营养和健康结果。方法：通过2014年、2018年和2022年的食物频率问卷收集17187名nutrinet - sant队列参与者（52%为女性，平均年龄48岁，SD = 16）的消费数据（对法国人口普查进行加权）。采用基于主成分分析的分组多轨迹模型对膳食轨迹曲线进行建模。通过多变量混合模型评估与环境（温室气体排放）和营养（遵守法国饮食指南，饮食质量指数）维度的关联。采用比较风险评估方法，在避免残疾调整生命年（DALYs）的情况下评估健康影响。结果：确定了6种饮食轨迹(P)，具有不同的起始饮食和演变。P0的摄入量为平均水平，P1和P5以肉类为主，其中P5的动物摄入量最高。P3和P4以植物为主，P4维持较高的鱼类和植物摄入量，P3增加反刍动物肉类。P2最初多吃咸的或甜的高脂肪食物，后来明显转向植物性饮食。随着时间的推移，温室气体排放量下降（- 5%至- 14%），饮食质量（PNNS-GS2评分）改善（+ 12%至+ 174%），由于减少红肉和增加全谷物/水果，四种情况下的健康风险下降，但由于加工肉类，P4和P5的健康风险增加。结论：这些特征反映了不同人群的不同饮食特征和可持续性改善程度。然而，重大进展仍然有限，强调需要进一步研究经济、心理和文化因素，以指导可持续的变化。试验注册：试验注册号：NCT03335644。注册网址：https://clinicaltrials.gov/study/NCT03335644?id=NCT03335644&rank=1。

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来源期刊

International Journal of Behavioral Nutrition and Physical Activity 医学-生理学

CiteScore

13.80

自引率

3.40%

发文量

138

审稿时长

4-8 weeks

期刊介绍： International Journal of Behavioral Nutrition and Physical Activity (IJBNPA) is an open access, peer-reviewed journal offering high quality articles, rapid publication and wide diffusion in the public domain. IJBNPA is devoted to furthering the understanding of the behavioral aspects of diet and physical activity and is unique in its inclusion of multiple levels of analysis, including populations, groups and individuals and its inclusion of epidemiology, and behavioral, theoretical and measurement research areas.