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Aubin J, Vieux F, Le Féon S, Tharrey M, Peyraud JL, Darmon N. Environmental trade-offs of meeting nutritional requirements with a lower share of animal protein for adult subpopulations. Animal 2025; 19 Suppl 1:101182. [PMID: 38845292 DOI: 10.1016/j.animal.2024.101182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 04/24/2024] [Accepted: 04/29/2024] [Indexed: 02/08/2025] Open
Abstract
Decreasing the share of protein contributed by animal-based foods is recommended to move towards more sustainable and healthier diets. This study aimed to assess the potential environmental impacts of diets with a lower share of animal protein. The diets were modeled to include the minimum share of animal protein in total protein that met nutrient requirements and did not increase costs. The new diets also minimized the difference in the quantity of food from those of observed (OBS) diets. They were modeled for five adult subpopulations (defined by sex and age) using mathematical optimization. The model was created by combining the INCA2 database (to model OBS diets in the French population) and a database of 207 food items to adjust nutritional and price parameters. All modeled diets satisfied nutritional and cost constraints. A low-animal-protein (LAP) diet was identified for each subpopulation by progressively decreasing the share of animal protein by steps of 5% until the recommended quantity of protein and/or consumption constraints were no longer satisfied. Potential environmental impacts of the LAP diets in eight impact categories were calculated using life cycle assessment and life cycle inventories from Agribalyse® 3.0. A LAP diet for the entire population was calculated as a weighted mean of the subpopulations' LAP diets. The share of animal protein decreased from 70% in the OBS diet to 50% in the LAP diet. Compared to the OBS diet, the LAP diet decreased five environmental impacts: climate change (greenhouse gas emissions), acidification (emissions of acidifying compounds) and land occupation (all by more than 30%), cumulative energy demand (by 23%) and marine eutrophication (by 13%). Conversely, it increased three environmental impacts: freshwater eutrophication and water use (both by ca. 40%) and biodiversity damage potential (potential loss of species associated with land use) (by 66%). These results suggest that decreasing the share of animal protein to 50% is compatible with nutritional requirements, affordability and consumption constraints, but would have mixed effects on the environment.
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Affiliation(s)
- J Aubin
- INRAE, Institut Agro, SAS, 65 rue de Saint Brieuc, 35042 Rennes, France.
| | - F Vieux
- MS-Nutrition, 13005 Marseille, France
| | - S Le Féon
- Independent Researcher in Environmental Assessment, Pépinière ESS, 23 rue des Chênes, 35630 Langouët, France
| | - M Tharrey
- Université de Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, MOISA, 34060 Montpellier, France
| | - J L Peyraud
- INRAE, Institut Agro, PEGASE, Le Clos, 35590 Saint-Gilles, France
| | - N Darmon
- Université de Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, MOISA, 34060 Montpellier, France
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Sun H, Steur M, Mou Y, Voortman T. Plant-based dietary patterns, nutrient intake, growth, and body composition in childhood: Results from a prospective population-based study. Clin Nutr 2025; 45:202-211. [PMID: 39837075 DOI: 10.1016/j.clnu.2025.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Revised: 12/06/2024] [Accepted: 01/06/2025] [Indexed: 01/23/2025]
Abstract
BACKGROUND & AIMS Transitioning to more plant-based diets promotes environmental sustainability and has health benefits for adults. However, associations with nutrient intake adequacy and growth in children remain unknown. This study aimed to examine associations of plant-based diets with nutrient intake levels among children, and with longitudinal growth and body composition up to adolescence. METHOD We included 3340 children in the Generation R Study, a population-based cohort. Food and nutrient intake were assessed at the age of 8 years, and anthropometrics and body composition (using dual-energy X-ray absorptiometry) were measured at the ages of 10 and 13 years. Plant-based diets were quantified using three plant-based diet indices (PDIs): overall plant-based diet index (PDI), healthful PDI (hPDI), and unhealthful PDI (uPDI). Modified Poisson regression and linear mixed models were used to estimate the associations of PDIs with nutrient intake levels, and with sex- and age-standardized measures of anthropometrics and body composition. RESULTS Higher scores on each of the three PDIs were associated with lower intake of vitamin B2, B12, and calcium, while higher hPDI score was associated with higher intake levels of fiber, vitamin C, magnesium, and copper. Higher hPDI score was also associated with higher fat-free mass index (FFMI) z-score (0.05 per 10-hPDI score increment, 95 % CI: 0.01, 0.10), and with lower body fat percentage z-score (-0.05, 95 % CI: -0.09, -0.01), while higher uPDI score was associated with lower height, weight, and FFMI z-score (FFMI: -0.08, 95 % CI: -0.12, -0.03) up to age of 13 years. CONCLUSIONS In this cohort study, higher adherence to healthful plant-based diets, rather than unhealthful ones, was associated with better nutrient intakes, and subsequent healthy body composition throughout childhood to adolescence. Our findings suggest that consuming healthful plant-based foods may contribute to children's diets' nutrient quality and subsequent body composition. Still, attention should be given to ensuring balanced and adequate nutrient intake for optimal plant-based eating.
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Affiliation(s)
- Hong Sun
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Marinka Steur
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands; Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Yuchan Mou
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands; Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA.
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Williams JTW, Bell KJL, Morton RL, Dieng M. Methods to Include Environmental Impacts in Health Economic Evaluations and Health Technology Assessments: A Scoping Review. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2024; 27:794-804. [PMID: 38462223 DOI: 10.1016/j.jval.2024.02.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 02/14/2024] [Accepted: 02/29/2024] [Indexed: 03/12/2024]
Abstract
OBJECTIVES The environmental impacts of healthcare are important factors that should be considered during health technology assessments. This study aims to summarize the evidence that exists about methods to include environmental impacts in health economic evaluations and health technology assessments. METHODS We identified records for screening using an existing scoping review and a systematic search of academic databases and gray literature up to September 2023. We screened the identified records for eligibility and extracted data using a narrative synthesis approach. The review was conducted following the JBI Manual for Evidence Synthesis and reported according to the Preferred Reporting Items for Systematic Reviews and Meta Analyses Extension for Scoping Reviews checklist. RESULTS We identified 2898 records and assessed the full text of 114, of which 54 were included in this review. Ten methods were identified to include environmental impacts in health economic evaluations and health technology assessments. Methods included converting environmental impacts to dollars or disability-adjusted life years and including them in a cost-effectiveness, cost-utility, or cost-benefit analysis, calculating an incremental carbon footprint effectiveness ratio or incremental carbon footprint cost ratio, incorporating impacts as one criteria of a multi-criteria decision analysis, and freely considering impacts during health technology assessment deliberation processes. CONCLUSIONS Methods to include environmental impacts in health economic evaluations and health technology assessments exist but have not been tested for widespread use by health technology assessment agencies. Further research and implementation work is needed to determine which method can best aid decision makers to choose low environmental impact healthcare interventions.
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Affiliation(s)
- Jake T W Williams
- Faculty of Medicine and Health, School of Public Health, Sydney, New South Wales, Australia.
| | - Katy J L Bell
- Faculty of Medicine and Health, School of Public Health, Sydney, New South Wales, Australia
| | - Rachael L Morton
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Mbathio Dieng
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
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Arrazat L, Nicklaus S, de Lauzon-Guillain B, Marty L. Identification of three dietary groups in French university students and their associations with nutritional quality and environmental impact. Front Nutr 2023; 10:1323648. [PMID: 38188873 PMCID: PMC10771388 DOI: 10.3389/fnut.2023.1323648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 11/23/2023] [Indexed: 01/09/2024] Open
Abstract
Introduction The student period is associated with changes in eating habits, usually leading to diets of lower nutritional quality. However, some variability may exist in students' dietary patterns. We aimed to describe French students' diets and identify dietary groups that may vary in nutritional quality and environmental impact. Methods A representative sample of French students (N = 582) for age, sex and scholarship status completed an online 125-item food frequency questionnaire. The nutritional quality of diets was assessed by a score of adherence to the French nutritional guidelines (sPNNS-GS2 score, ranging from-17 to 11.5) and its environmental impact by greenhouse gas emissions for an isocaloric diet (GHGE). An ascending hierarchical classification analysis on food and beverage intakes led to three dietary groups. Between-group differences in food consumption, dietary indicators and sociodemographic characteristics were investigated using ANOVA models. Results The average sPNNS-GS2 score of students' diets was -0.8 ± 2.8, representing a 57% coverage of French nutritional recommendations, and GHGE were 5.4 ± 1.7 kg eCO2/2000 kcal. The three dietary groups were: a healthy diet group (20% of the sample) with the highest nutritional quality and high GHGE, which included older students with a higher level of physical activity; a Western diet group (40%) with the worst nutritional quality and high GHGE, which included more students who lived with their parents; and a frugal diet group (40%) with the lowest energy intake, intermediate nutritional quality, and low GHGE, which included more students who lived alone. Conclusion None of the dietary groups optimized both nutritional quality and environmental impact simultaneously, which suggests an apparent incompatibility in the student population between these two sustainability dimensions. These findings emphasize the need for tailored public health policies that acknowledge the diversity of student eating patterns and address specific individual barriers to healthy and sustainable diets.
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Affiliation(s)
- Laura Arrazat
- Centre des Sciences Du Goût et de l’Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, Dijon, France
| | - Sophie Nicklaus
- Centre des Sciences Du Goût et de l’Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, Dijon, France
| | - Blandine de Lauzon-Guillain
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS, Paris, France
| | - Lucile Marty
- Centre des Sciences Du Goût et de l’Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, Dijon, France
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Fouillet H, Dussiot A, Perraud E, Wang J, Huneau JF, Kesse-Guyot E, Mariotti F. Plant to animal protein ratio in the diet: nutrient adequacy, long-term health and environmental pressure. Front Nutr 2023; 10:1178121. [PMID: 37396122 PMCID: PMC10311446 DOI: 10.3389/fnut.2023.1178121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 05/18/2023] [Indexed: 07/04/2023] Open
Abstract
Background Animal and plant protein sources have contrasting relationships with nutrient adequacy and long-term health, and their adequate ratio is highly debated. Objective We aimed to explore how the percentage of plant protein in the diet (%PP) relates to nutrient adequacy and long-term health but also to environmental pressures, to determine the adequate and potentially optimal %PP values. Methods Observed diets were extracted from the dietary intakes of French adults (INCA3, n = 1,125). Using reference values for nutrients and disease burden risks for foods, we modeled diets with graded %PP values that simultaneously ensure nutrient adequacy, minimize long-term health risks and preserve at best dietary habits. This multi-criteria diet optimization was conducted in a hierarchical manner, giving priority to long-term health over diet proximity, under the constraints of ensuring nutrient adequacy and food cultural acceptability. We explored the tensions between objectives and identified the most critical nutrients and influential constraints by sensitivity analysis. Finally, environmental pressures related to the modeled diets were estimated using the AGRIBALYSE database. Results We find that nutrient-adequate diets must fall within the ~15-80% %PP range, a slightly wider range being nevertheless identifiable by waiving the food acceptability constraints. Fully healthy diets, also achieving the minimum-risk exposure levels for both unhealthy and healthy foods, must fall within the 25-70% %PP range. All of these healthy diets were very distant from current typical diet. Those with higher %PP had lower environmental impacts, notably on climate change and land use, while being as far from current diet. Conclusion There is no single optimal %PP value when considering only nutrition and health, but high %PP diets are more sustainable. For %PP > 80%, nutrient fortification/supplementation and/or new foods are required.
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Affiliation(s)
- Hélène Fouillet
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France
| | - Alison Dussiot
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France
| | - Elie Perraud
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France
| | - Juhui Wang
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France
| | - Jean-François Huneau
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France
| | - Emmanuelle Kesse-Guyot
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France
| | - François Mariotti
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France
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Vieux F, Rémond D, Peyraud JL, Darmon N. Reply to F Mariotti et al. J Nutr 2023; 153:913-914. [PMID: 36781312 DOI: 10.1016/j.tjnut.2022.12.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 12/21/2022] [Indexed: 01/09/2023] Open
Affiliation(s)
| | - Didier Rémond
- Université Clermont Auvergne, INRAE UNH, Clermont-Ferrand, France
| | | | - Nicole Darmon
- MoISA, University of Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France
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7
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Perraud E, Wang J, Salomé M, Mariotti F, Kesse-Guyot E. Dietary protein consumption profiles show contrasting impacts on environmental and health indicators. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 856:159052. [PMID: 36179832 DOI: 10.1016/j.scitotenv.2022.159052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/31/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
Patterns of protein intake are strong characteristics of diets, and protein sources have been linked to the environmental and nutrition/health impacts of diets. However, few studies have worked on protein profiles, and most of them have focused on specific diets like vegetarian or vegan diets. Furthermore, the description of the environmental impact of diets has often been limited to greenhouse gas emissions (GHGe) and land use. This paper analyzes the alignment of environmental pressures and nutritional impacts in a diversity of representative protein profiles of a western population. Using data from a representative survey in France (INCA3, n = 1125), we identified protein profiles using hierarchical ascendant classification on protein intake (g) from main protein sources (refined grains, whole grains, dairy, eggs, ruminant meat, poultry, pork, processed meat, fish, fruits & vegetables, pulses). We assessed their diet quality using 6 dietary scores, including assessment of long-term risk for health, and associated 14 environmental pressure indicators using the Agribalyse database completed by the SHARP database for GHGe. Five protein profiles were identified according to the high contributions of ruminant meat, pork, poultry, fish, or, conversely, as low contribution from meat. The profile including the lowest protein from meat had the lowest impact on almost all environmental indicators and had the lowest long-term risk. Conversely, the profile with high protein from ruminant-based foods had the highest pressures on most environmental indicators, including GHGe. We found that the protein profile with low contribution from meat has great potential for human health and environment preservation. Shifting a large part of the population toward this profile could be an easy first step toward building a more sustainable diet.
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Affiliation(s)
- Elie Perraud
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France
| | - Juhui Wang
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France
| | - Marion Salomé
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France
| | - François Mariotti
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France.
| | - Emmanuelle Kesse-Guyot
- Sorbonne Paris Nord University, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Conservatoire National des Arts et Métiers (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
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8
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Kirwan LB, Walton J, Flynn A, Nugent AP, McNulty BA. An Evaluation of Probability of Adequate Nutrient Intake (PANDiet) Scores as a Diet Quality Metric in Irish National Food Consumption Data. Nutrients 2022; 14:994. [PMID: 35267969 PMCID: PMC8912666 DOI: 10.3390/nu14050994] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 02/22/2022] [Accepted: 02/24/2022] [Indexed: 02/04/2023] Open
Abstract
Identifying reliable metrics which measure the quality of a diet to promote nutrient adequacy and long-term health is an important step in the development of a sustainable food system. The Probability of Adequate Nutrient Intake (PANDiet) scoring system has been used as a measure of dietary quality in interdisciplinary research in recent years. The aim of the current study is to apply the PANDiet scoring system, and to assess the validity of the score as a metric of nutritional adequacy, within the Irish population. The Irish National Adult Nutrition Survey is a representative database with detailed data on nutrient intakes (18−90 years; n = 1051 valid-reporters; 2008−2010) and biofluid analytes (blood n = 786; urine n = 778). The PANDiet scoring system was expanded to include seven macronutrients, twelve micronutrients, nine minerals, and total energy using an established methodology. PANDiet scores were assessed against the Alternate Healthy Eating Index (AHEI) and Alternate Mediterranean Diet (aMED) food-based scores. The average score for the population (μ) was 63.69 ± 0.23 and ranged from 38.27 to 89.74. Higher PANDiet scores were significantly associated with males, higher educated participants, non-smokers, and low-energy-dense diets (p < 0.001). Females between the ages of 18 and 35 had a significantly lower nutrient adequacy score (μ 59.17). PANDiet scores were significantly correlated with serum folate, riboflavin status, serum vitamin D (p < 0.05) and with AHEI and aMED scores (Rs 0.45 and 0.43, p < 0.0001). The nutritional contribution of food groups varied between genders and low, moderate, and high nutritional adequacy groups. The PANDiet scoring system facilitated a detailed analysis of nutritional adequacy across sub-groups of the population, and is a comprehensive and valid diet quality metric in Irish databases.
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Affiliation(s)
- Laura B. Kirwan
- Institute of Food and Health, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland; (L.B.K.); (A.P.N.)
| | - Janette Walton
- Department of Biological Sciences, Munster Technological University, T12 P928 Cork, Ireland;
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, T12 K8AF Cork, Ireland;
| | - Anne P. Nugent
- Institute of Food and Health, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland; (L.B.K.); (A.P.N.)
- School of Biological Sciences, Institute for Global Food Security, Queens University Belfast, Belfast BT7 1NN, UK
| | - Breige A. McNulty
- Institute of Food and Health, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland; (L.B.K.); (A.P.N.)
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Kesse-Guyot E, Lairon D, Allès B, Seconda L, Rebouillat P, Brunin J, Vidal R, Taupier-Letage B, Galan P, Amiot MJ, Péneau S, Touvier M, Boizot-Santai C, Ducros V, Soler LG, Cravedi JP, Debrauwer L, Hercberg S, Langevin B, Pointereau P, Baudry J. Key Findings of the French BioNutriNet Project on Organic Food-Based Diets: Description, Determinants, and Relationships to Health and the Environment. Adv Nutr 2022; 13:208-224. [PMID: 34661620 PMCID: PMC8803492 DOI: 10.1093/advances/nmab105] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 06/26/2021] [Accepted: 08/30/2021] [Indexed: 11/13/2022] Open
Abstract
Few studies have investigated the relationships between organic food consumption, dietary patterns, monetary diet cost, health, and the environment. To address these issues, a consortium of French epidemiologists, nutritionists, economists, and toxicologists launched the BioNutriNet project in 2013. In 2014, an FFQ documented the usual organic and nonorganic (conventional) food consumption of approximately 35,000 NutriNet-Santé participants. Then, individual organic and conventional food intakes were merged with price, environmental, and pesticide residue data sets, which distinguished between conventional and organic farming methods. Many studies were conducted to characterize organic consumers and their environmental impacts (i.e., greenhouse gas emissions, energy demand, and land use) and organic food consumption impacts on health. We observed that organic consumers had diets that were healthier and richer in plant-based food than nonorganic consumers. Their diets were associated with higher monetary costs, lower environmental impacts, and reduced exposure to certain pesticide residues. Regular consumption of organic food was associated with reduced risks of obesity, type 2 diabetes, postmenopausal breast cancer, and lymphoma. Although several observations have been confirmed by several studies conducted in other countries, our results should be replicated in other cultural settings and coupled with experimental studies to be able to draw causal conclusions. Finally, the main finding of the BioNutriNet project is that while organic food consumption could be associated with positive externalities on human health and the environment, organic-based diets should be accompanied by dietary shifts toward plant-based diets to allow for better planetary and human health.
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Affiliation(s)
- Emmanuelle Kesse-Guyot
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
| | - Denis Lairon
- Aix Marseille University, INSERM, INRAE, Centre for Cardiovascular Research and Nutrition (C2VN), Marseille, France
| | - Benjamin Allès
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
| | - Louise Seconda
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
- Agency for the Environment and Energy Management (ADEME), Angers, France
| | - Pauline Rebouillat
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
| | - Joséphine Brunin
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
- Agency for the Environment and Energy Management (ADEME), Angers, France
| | | | | | - Pilar Galan
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
| | - Marie-Josèphe Amiot
- MOISA, INRAE, International Cooperation in Agricultural Research for Development (CIRAD), International Centre for Advanced Mediterranean Agronomic Studies (CIHEAM), Institut Agro-SupAgro (SUPAGRO), Montpellier University, Montpellier, France
| | - Sandrine Péneau
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
| | | | - Véronique Ducros
- Biochemistry Department, Grenoble-Alpes Hospital, Grenoble, France
| | | | - Jean-Pierre Cravedi
- Toxalim, Toulouse University, INRAE, National Veterinary School (ENVT), National Polytechnic Institute of Toulouse-Purpan, Paul Sabatier University, Toulouse, France
| | - Laurent Debrauwer
- Toxalim, Toulouse University, INRAE, National Veterinary School (ENVT), National Polytechnic Institute of Toulouse-Purpan, Paul Sabatier University, Toulouse, France
| | - Serge Hercberg
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
| | | | | | - Julia Baudry
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
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