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Van Beekum M, Shankland R, Rodhain A, Robert M, Marchand C, Herry A, Prioux C, Touvier M, Barday M, Turgon R, Avignon A, Leys C, Péneau S. Development and validation of the mindful eating scale (mind-eat scale) in a general population. Appetite 2024; 199:107398. [PMID: 38710449 DOI: 10.1016/j.appet.2024.107398] [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: 11/03/2023] [Revised: 02/19/2024] [Accepted: 05/03/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND Mindful eating is a concept that is increasingly being used to promote healthy eating. Observational studies have suggested associations with healthier eating behaviors, lower weight status, and favorable cardiovascular biomarkers. However, existing scales assessing mindful eating have some limitations. Our study aimed to develop and validate a scale assessing the level of mindful eating in a general population. METHODS The Mind-Eat Scale was developed in four main steps: 1. Generating an initial item pool covering all aspects of mindful eating; 2. Reviewing items with experts and naive individuals; 3. Administering the scale to a large and representative sample from the NutriNet-Santé cohort (N = 3102); 4. Conducting psychometric analyses. Construct validity was assessed using exploratory (EFA) (N1 = 1302) and confirmatory (CFA) (N2 = 1302, N3 = 498) factor analyses. Content, discriminant, convergent, and divergent validity, internal consistency, and test-retest reliability were examined. RESULTS The initial pool of 95 items was refined to 24 items using EFA. The EFA highlighted six dimensions: Awareness, Non-reactivity, Openness, Gratitude, Non-judgement, and Hunger/Satiety, consisting of four items per dimension. CFAs showed a good fit for first and second-order models. Adequate content validity was confirmed. Discriminant, convergent, and divergent validity were supported by significant differences between subgroups of individuals, and correlations with eating behaviors and psychological well-being scales. The Mind-Eat Scale showed good reliability for all six dimensions, with high McDonald's ω and adequate intraclass correlation coefficients (ICC). CONCLUSIONS This study validated the first tool assessing a total mindful eating score and its sub-dimensions in a general population. This scale can be an asset for clinical and epidemiological research on dietary behavior and related chronic diseases.
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Affiliation(s)
- Marion Van Beekum
- 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; University of Montpellier, Montpellier Research in Management (MRM), Place Eugène Bataillon - CC 19001 - Bâtiment 19, 34095, Montpellier, France; Institute Desbrest of Epidemiology and Public Health, University of Montpellier, INSERM, 34090, Montpellier, France.
| | - Rebecca Shankland
- Department of Psychology, Univ. Lumière Lyon 2, DIPHE, Bron Cedex, France; Institut Universitaire de France, France
| | - Angélique Rodhain
- University of Montpellier, Montpellier Research in Management (MRM), Place Eugène Bataillon - CC 19001 - Bâtiment 19, 34095, Montpellier, France
| | - Margaux Robert
- 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
| | - Camille Marchand
- 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
| | - Athéna Herry
- 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
| | - Clémentine Prioux
- 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
| | - Mathilde Touvier
- 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
| | - Marie Barday
- 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
| | - Roxane Turgon
- Department of Psychology, Univ. Lumière Lyon 2, DIPHE, Bron Cedex, France
| | - Antoine Avignon
- Institute Desbrest of Epidemiology and Public Health, University of Montpellier, INSERM, 34090, Montpellier, France; Nutrition-Diabetes Department, University Hospital of Montpellier, 34090, Montpellier, France
| | - Christophe Leys
- Faculty of Psychology, Educational Sciences, and Speech and Language Therapy, Université Libre de Bruxelles, Avenue Franklin Roosevelt, 50 - CP191, 1050, Brussels, Belgium
| | - Sandrine Péneau
- 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
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Duquenne P, Samieri C, Chambaron S, Brindisi MC, Kesse-Guyot E, Galan P, Hercberg S, Touvier M, Léger D, Fezeu LK, Andreeva VA. Chronic insomnia, high trait anxiety and their comorbidity as risk factors for incident type 2 diabetes mellitus. Sci Rep 2024; 14:11927. [PMID: 38789594 PMCID: PMC11126668 DOI: 10.1038/s41598-024-62675-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 05/20/2024] [Indexed: 05/26/2024] Open
Abstract
The main objective of this study was to evaluate the association of the insomnia-anxiety comorbidity with incident type 2 diabetes (T2D) in a large prospective cohort. We selected adults without diabetes at baseline from the French NutriNet-Santé cohort who had completed the trait anxiety subscale of the Spielberger State-Trait Anxiety Inventory (STAI-T, 2013-2016) and a sleep questionnaire (2014); insomnia was defined according to established criteria. Using multivariable Cox models, we compared T2D risk across 4 groups: no insomnia or anxiety (reference), insomnia alone, anxiety alone (STAI-T ≥ 40), and comorbid anxiety and insomnia. Among 35,014 participants (mean baseline age: 52.4 ± 14.0 years; 76% women), 378 (1.1%) developed T2D over a mean follow-up of 5.9 ± 2.1 years. Overall, 28.5% of the sample had anxiety alone, 7.5%-insomnia alone, and 12.5%-both disorders. In the fully-adjusted model, a higher T2D risk was associated with anxiety-insomnia comorbidity (HR = 1.40; 95% CI 1.01, 1.94), but not with each disorder separately, compared to the group without insomnia or anxiety. The findings supported a positive association between anxiety-insomnia comorbidity and incident T2D among general-population adults. Future research using clinical diagnoses of mental disorders could confirm the findings and guide diabetes prevention programs.
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Affiliation(s)
- Pauline Duquenne
- INSERM, INRAE, CNAM, Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), SMBH, Sorbonne Paris Nord University and Paris Cité University, 74 Rue Marcel Cachin, 93017, Bobigny, France.
| | - Cécilia Samieri
- Bordeaux Population Health, INSERM U1219, University of Bordeaux, Bordeaux, France
| | - Stéphanie Chambaron
- Center for Taste and Feeding Behavior, CNRS, INRAE, Agro Dijon Institute, University of Burgundy, Dijon, France
| | - Marie-Claude Brindisi
- Center for Taste and Feeding Behavior, CNRS, INRAE, Agro Dijon Institute, University of Burgundy, Dijon, France
- University Hospital Center, Dijon, France
| | - Emmanuelle Kesse-Guyot
- INSERM, INRAE, CNAM, Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), SMBH, Sorbonne Paris Nord University and Paris Cité University, 74 Rue Marcel Cachin, 93017, Bobigny, France
| | - Pilar Galan
- INSERM, INRAE, CNAM, Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), SMBH, Sorbonne Paris Nord University and Paris Cité University, 74 Rue Marcel Cachin, 93017, Bobigny, France
| | - Serge Hercberg
- INSERM, INRAE, CNAM, Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), SMBH, Sorbonne Paris Nord University and Paris Cité University, 74 Rue Marcel Cachin, 93017, Bobigny, France
- Department of Public Health, AP-HP Paris Seine-Saint-Denis Hospital System, Bobigny, France
| | - Mathilde Touvier
- INSERM, INRAE, CNAM, Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), SMBH, Sorbonne Paris Nord University and Paris Cité University, 74 Rue Marcel Cachin, 93017, Bobigny, France
| | - Damien Léger
- Université Paris Cité, VIFASOM, APHP Hôtel-Dieu, Centre du Sommeil et de la Vigilance, Paris, France
| | - Léopold K Fezeu
- INSERM, INRAE, CNAM, Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), SMBH, Sorbonne Paris Nord University and Paris Cité University, 74 Rue Marcel Cachin, 93017, Bobigny, France
| | - Valentina A Andreeva
- INSERM, INRAE, CNAM, Center for Research in Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN), SMBH, Sorbonne Paris Nord University and Paris Cité University, 74 Rue Marcel Cachin, 93017, Bobigny, France.
- Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
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Hennequin M, El Osta N, Munoz-Sanchez ML, Vandenberghe Descamps M, Andreeva VA, Feron G, Nicolas E, Pereira B, Peyron MA, Cousson PY, Sulmont-Rosse C, Faulks D. Age related impairments in ingestion from a large population based-sample. Appetite 2024; 196:107287. [PMID: 38452933 DOI: 10.1016/j.appet.2024.107287] [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: 11/23/2023] [Revised: 02/23/2024] [Accepted: 02/26/2024] [Indexed: 03/09/2024]
Abstract
OBJECTIVES Epidemiological data regarding the evolution of problems related to mastication and swallowing with age are lacking. This study aims to (i) describe changes in oral function with age, using data from a large French population, (ii) validate online, self-report uses of an ICF questionnaire in older persons, and (iii) assess whether impairment is related to avoidance of certain foods, xerostomia, body mass index (BMI) and oral health related quality of life (OHRQoL). METHODS Volunteers aged ≥18 years with internet access completed a series of questionnaires on sociodemographic, anthropometric and oral health characteristics (oral function, Xerostomia Index (XI), OHRQoL, reasons for avoidance of certain food). Oral function was assessed using items derived from the International Classification of Functioning (ICF). Five ICF items related to ingestion function and six items related to activities and participation were used. A validation study was undertaken to identify those with poor chewing ability and low salivary flow amongst older participants reporting impairment. FINDINGS 39 597 individuals were included. The prevalence of individuals with impairment for ICF items related to ingestion function and oral activity (eating, drinking and speaking), and the percentage of participants with poor OHRQoL increased significantly with age (p < 0.001). Each ICF item was significantly associated with OHRQoL (p < 0.001), XI (p < 0.001), BMI (p < 0.001) and avoidance of certain food due to chewing or swallowing difficulties. CONCLUSION Overall, 21.5% and 13.5% of the study population had chewing and/or biting impairments respectively, which might affect food selection and consumption. These findings raise individual and population-based issues. Further studies are needed to assess whether impairment in oral function might increase frailty in older individuals, and also to compare data with those from other countries.
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Affiliation(s)
- Martine Hennequin
- Université Clermont Auvergne, CROC, F-63000 Clermont-Ferrand, France; CHU Clermont-Ferrand, Service d'Odontologie, F-63003 Clermont-Ferrand, France.
| | - Nada El Osta
- Université Clermont Auvergne, CROC, F-63000 Clermont-Ferrand, France.
| | - Marie-Laure Munoz-Sanchez
- Université Clermont Auvergne, CROC, F-63000 Clermont-Ferrand, France; CHU Clermont-Ferrand, Service d'Odontologie, F-63003 Clermont-Ferrand, France.
| | - Mathilde Vandenberghe Descamps
- Junia, Université Artois, Université de Liège, Université Littoral Côte d'Opale, UMRT 1158 BioEcoAgro, F-62000 Arras, France.
| | - Valentina A Andreeva
- Équipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Université Paris Nord/INSERM U1153/INRA U1125/CNAM, COMUE Sorbonne Paris Cité, F-93017 Bobigny, France.
| | - Gilles Feron
- Centre des Sciences du Goût et de l'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, F-21000 Dijon, France.
| | - Emmanuel Nicolas
- Université Clermont Auvergne, CROC, F-63000 Clermont-Ferrand, France; CHU Clermont-Ferrand, Service d'Odontologie, F-63003 Clermont-Ferrand, France.
| | - Bruno Pereira
- CHU of Clermont-Ferrand, Clinical Research and Innovation Direction (DRCI), 63003, Clermont-Ferrand, France.
| | - Marie-Agnès Peyron
- INRAE Centre, Human Nutrition Unit, Université of Clermont Auvergne, Clermont-Ferrand, France.
| | - Pierre-Yves Cousson
- Université Clermont Auvergne, CROC, F-63000 Clermont-Ferrand, France; CHU Clermont-Ferrand, Service d'Odontologie, F-63003 Clermont-Ferrand, France.
| | - Claire Sulmont-Rosse
- Centre des Sciences du Goût et de l'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, F-21000 Dijon, France.
| | - Denise Faulks
- Université Clermont Auvergne, CROC, F-63000 Clermont-Ferrand, France; CHU Clermont-Ferrand, Service d'Odontologie, F-63003 Clermont-Ferrand, France.
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Salame C, Javaux G, Sellem L, Viennois E, de Edelenyi FS, Agaësse C, De Sa A, Huybrechts I, Pierre F, Coumoul X, Julia C, Kesse-Guyot E, Allès B, Fezeu LK, Hercberg S, Deschasaux-Tanguy M, Cosson E, Tatulashvili S, Chassaing B, Srour B, Touvier M. Food additive emulsifiers and the risk of type 2 diabetes: analysis of data from the NutriNet-Santé prospective cohort study. Lancet Diabetes Endocrinol 2024; 12:339-349. [PMID: 38663950 DOI: 10.1016/s2213-8587(24)00086-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 03/07/2024] [Accepted: 03/08/2024] [Indexed: 06/01/2024]
Abstract
BACKGROUND Experimental studies have suggested potential detrimental effects of emulsifiers on gut microbiota, inflammation, and metabolic perturbations. We aimed to investigate the associations between exposures to food additive emulsifiers and the risk of type 2 diabetes in a large prospective cohort of French adults. METHODS We analysed data from 104 139 adults enrolled in the French NutriNet-Santé prospective cohort study from May 1, 2009, to April 26, 2023; 82 456 (79·2%) were female and the mean age was 42·7 years (SD 14·5). Dietary intakes were assessed with three 24 h dietary records collected over three non-consecutive days, every 6 months. Exposure to additive emulsifiers was evaluated through multiple food composition databases and ad-hoc laboratory assays. Associations between cumulative time-dependent exposures to food additive emulsifiers and the risk of type 2 diabetes were characterised with multivariable proportional hazards Cox models adjusted for known risk factors. The NutriNet-Santé study is registered at ClinicalTrials.gov (NCT03335644). FINDINGS Of 104 139 participants, 1056 were diagnosed with type 2 diabetes during follow-up (mean follow-up duration 6·8 years [SD 3·7]). Intakes of the following emulsifiers were associated with an increased risk of type 2 diabetes: total carrageenans (hazard ratio [HR] 1·03 [95% CI 1·01-1·05] per increment of 100 mg per day, p<0·0001), carrageenans gum (E407; HR 1·03 [1·01-1·05] per increment of 100 mg per day, p<0·0001), tripotassium phosphate (E340; HR 1·15 [1·02-1·31] per increment of 500 mg per day, p=0·023), acetyl tartaric acid esters of monoglycerides and diglycerides of fatty acids (E472e; HR 1·04 [1·00-1·08] per increment of 100 mg per day, p=0·042), sodium citrate (E331; HR 1·04 [1·01-1·07] per increment of 500 mg per day, p=0·0080), guar gum (E412; HR 1·11 [1·06-1·17] per increment of 500 mg per day, p<0·0001), gum arabic (E414; HR 1·03 [1·01-1·05] per increment of 1000 mg per day, p=0·013), and xanthan gum (E415, HR 1·08 [1·02-1·14] per increment of 500 mg per day, p=0·013). INTERPRETATION We found direct associations between the risk of type 2 diabetes and exposures to various food additive emulsifiers widely used in industrial foods, in a large prospective cohort of French adults. Further research is needed to prompt re-evaluation of regulations governing the use of additive emulsifiers in the food industry for better consumer protection. FUNDING European Research Council, French National Cancer Institute, French Ministry of Health, IdEx Université de Paris, and Bettencourt-Schueller Foundation.
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Affiliation(s)
- Clara Salame
- 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
| | - Guillaume Javaux
- 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
| | - Laury Sellem
- 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; NACRe French Network for Nutrition And Cancer Research, Jouy-en-Josas, France
| | - Emilie Viennois
- INSERM U1149, Center of Research on Inflammation, Université de Paris, 75018 Paris, France
| | - Fabien Szabo de Edelenyi
- 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
| | - Cédric Agaësse
- 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
| | - Alexandre De Sa
- 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
| | - Inge Huybrechts
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Fabrice Pierre
- NACRe French Network for Nutrition And Cancer Research, Jouy-en-Josas, France; Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Xavier Coumoul
- NACRe French Network for Nutrition And Cancer Research, Jouy-en-Josas, France; INSERM UMR-S 1124, Université de Paris, Paris, France
| | - Chantal Julia
- 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; Public Health Department, Groupe Hospitalier Paris-Seine-Saint-Denis, Assistance Publique-hôpitaux de Paris (AP-HP), Bobigny, 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; NACRe French Network for Nutrition And Cancer Research, Jouy-en-Josas, France
| | - Benjamin Allès
- 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
| | - Léopold K Fezeu
- 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
| | - Serge Hercberg
- 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; NACRe French Network for Nutrition And Cancer Research, Jouy-en-Josas, France; Public Health Department, Groupe Hospitalier Paris-Seine-Saint-Denis, Assistance Publique-hôpitaux de Paris (AP-HP), Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- 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; NACRe French Network for Nutrition And Cancer Research, Jouy-en-Josas, France
| | - Emmanuel Cosson
- 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; Diabetology, endocrinology and nutrition Department, Avicenne Hospital, AP-HP, Bobigny, France
| | - Sopio Tatulashvili
- 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; Diabetology, endocrinology and nutrition Department, Avicenne Hospital, AP-HP, Bobigny, France
| | - Benoit Chassaing
- NACRe French Network for Nutrition And Cancer Research, Jouy-en-Josas, France; INSERM U1016, team "Mucosal microbiota in chronic inflammatory diseases", CNRS UMR 8104, Université de Paris, Paris, France
| | - Bernard Srour
- 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; NACRe French Network for Nutrition And Cancer Research, Jouy-en-Josas, France.
| | - Mathilde Touvier
- 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; NACRe French Network for Nutrition And Cancer Research, Jouy-en-Josas, France
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Lawson I, Wood C, Syam N, Rippin H, Dagless S, Wickramasinghe K, Amoutzopoulos B, Steer T, Key TJ, Papier K. Assessing Performance of Contemporary Plant-Based Diets against the UK Dietary Guidelines: Findings from the Feeding the Future (FEED) Study. Nutrients 2024; 16:1336. [PMID: 38732583 PMCID: PMC11085280 DOI: 10.3390/nu16091336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 04/12/2024] [Accepted: 04/20/2024] [Indexed: 05/13/2024] Open
Abstract
Uncertainty remains about the composition of contemporary plant-based diets and whether they provide recommended nutrient intakes. We established Feeding the Future (FEED), an up-to-date online cohort of UK adults following different plant-based diets and diets containing meat and fish. We recruited 6342 participants aged 18-99 [omnivores (1562), flexitarians (1349), pescatarians (568), vegetarians (1292), and vegans (1571)] between February 2022 and December 2023, and measured diet using a food frequency questionnaire and free text. We compared personal characteristics and dietary intakes between diet groups and assessed compliance with dietary guidelines. Most participants met UK dietary recommendations for fruit and vegetables, sodium, and protein, although protein intakes were lowest among vegetarians and vegans. Omnivores did not meet the fibre recommendation and only vegans met the saturated fat recommendation. All diet groups exceeded the free sugars recommendation. Higher proportions of vegetarians and vegans were below the estimated average requirements (EARs) for zinc, iodine, selenium, and, in vegans, vitamins A and B12, whereas calcium intakes were similar across the diet groups. People following plant-based diets showed good compliance with most dietary targets, and their risk for inadequate intakes of certain nutrients might be mitigated by improved dietary choices and/or food fortification.
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Affiliation(s)
- Izabella Lawson
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; (I.L.); (T.J.K.)
| | - Caroline Wood
- Public Affairs & Communications Directorate, University of Oxford, Oxford OX1 2JD, UK;
| | - Nandana Syam
- Medical Sciences Division, University of Oxford, Oxford OX3 9DU, UK;
| | - Holly Rippin
- Special Initiative on NCDs and Innovation, World Health Organization Regional Office for Europe, DK-2100 Copenhagen, Denmark; (H.R.); (S.D.); (K.W.)
| | - Selina Dagless
- Special Initiative on NCDs and Innovation, World Health Organization Regional Office for Europe, DK-2100 Copenhagen, Denmark; (H.R.); (S.D.); (K.W.)
| | - Kremlin Wickramasinghe
- Special Initiative on NCDs and Innovation, World Health Organization Regional Office for Europe, DK-2100 Copenhagen, Denmark; (H.R.); (S.D.); (K.W.)
| | - Birdem Amoutzopoulos
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SL, UK; (B.A.); (T.S.)
| | - Toni Steer
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SL, UK; (B.A.); (T.S.)
| | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; (I.L.); (T.J.K.)
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; (I.L.); (T.J.K.)
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Glemain B, de Lamballerie X, Zins M, Severi G, Touvier M, Deleuze JF, Lapidus N, Carrat F. Estimating SARS-CoV-2 infection probabilities with serological data and a Bayesian mixture model. Sci Rep 2024; 14:9503. [PMID: 38664455 PMCID: PMC11045781 DOI: 10.1038/s41598-024-60060-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 04/18/2024] [Indexed: 04/28/2024] Open
Abstract
The individual results of SARS-CoV-2 serological tests measured after the first pandemic wave of 2020 cannot be directly interpreted as a probability of having been infected. Plus, these results are usually returned as a binary or ternary variable, relying on predefined cut-offs. We propose a Bayesian mixture model to estimate individual infection probabilities, based on 81,797 continuous anti-spike IgG tests from Euroimmun collected in France after the first wave. This approach used serological results as a continuous variable, and was therefore not based on diagnostic cut-offs. Cumulative incidence, which is necessary to compute infection probabilities, was estimated according to age and administrative region. In France, we found that a "negative" or a "positive" test, as classified by the manufacturer, could correspond to a probability of infection as high as 61.8% or as low as 67.7%, respectively. "Indeterminate" tests encompassed probabilities of infection ranging from 10.8 to 96.6%. Our model estimated tailored individual probabilities of SARS-CoV-2 infection based on age, region, and serological result. It can be applied in other contexts, if estimates of cumulative incidence are available.
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Affiliation(s)
- Benjamin Glemain
- Sorbonne Université, Inserm, Institut Pierre-Louis d'épidémiologie et de santé publique, Paris, France.
- Département de santé publique, Hôpital Saint-Antoine, AP-HP. Sorbonne Université, Paris, France.
| | - Xavier de Lamballerie
- Unité des Virus Émergents, UVE, IRD 190, INSERM 1207, IHU Méditerranée Infection, Aix Marseille Univ, Marseille, France
| | - Marie Zins
- Paris University, Paris, France
- Université Paris-Saclay, Université de Paris, UVSQ, Inserm UMS 11, Villejuif, France
| | - Gianluca Severi
- CESP UMR1018, Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, Villejuif, France
- Department of Statistics, Computer Science and Applications, University of Florence, Florence, Italy
| | - Mathilde Touvier
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France
| | - Jean-François Deleuze
- Fondation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), CEPH-Biobank, Paris, France
| | - Nathanaël Lapidus
- Sorbonne Université, Inserm, Institut Pierre-Louis d'épidémiologie et de santé publique, Paris, France
- Département de santé publique, Hôpital Saint-Antoine, AP-HP. Sorbonne Université, Paris, France
| | - Fabrice Carrat
- Sorbonne Université, Inserm, Institut Pierre-Louis d'épidémiologie et de santé publique, Paris, France
- Département de santé publique, Hôpital Saint-Antoine, AP-HP. Sorbonne Université, Paris, France
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Courbet D, Jacquemier L, Hercberg S, Touvier M, Sarda B, Kesse-Guyot E, Galan P, Buttafoghi N, Julia C. A randomized controlled trial to test the effects of displaying the Nutri-Score in food advertising on consumer perceptions and intentions to purchase and consume. Int J Behav Nutr Phys Act 2024; 21:38. [PMID: 38622707 PMCID: PMC11017538 DOI: 10.1186/s12966-024-01588-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 04/03/2024] [Indexed: 04/17/2024] Open
Abstract
BACKGROUND Some research shows that advertising for high-fat, sugar, or salt (HFSS) products is contributing to a shift in consumer preferences toward products of poor nutritional quality, leading to unhealthy nutritional intakes that increase the risk of obesity and chronic diseases. A strategy of displaying simple and understandable nutritional information (like the front-of-pack nutrition label Nutri-Score) in food messages could be an aid to help guide consumers' choice towards healthier products. METHODS A randomized controlled experiment was conducted on 27,085 participants randomly assigned to two experimental conditions or a control condition. In both experimental conditions (independent variable: advertising messages with vs. without the Nutri-Score), participants were exposed to advertisements for diversified food products with contrasting nutritional quality and belonging to nine different food categories. Participants were then asked questions about their perception, affective evaluation, and intentions to purchase and consume the products. In the control condition, they were not exposed to the advertisements. RESULTS Overall, interaction effects between the two variables (1) the messages with vs. without the Nutri-Score and (2) the nutritional quality of products, were significant for all dependent variables, with effect sizes between large and medium. Overall, the better the products' nutritional quality, the more positive their perceptions, affective evaluations, and intentions to buy and consume them. When the Nutri-score was displayed in advertising messages (vs. when it was not), perceptions, affective evaluation, and behavioral intentions: (1) became more positive for products of good nutritional quality (Nutri-score A and B), (2) became more negative for products of poor nutritional quality (Nutri-score D and E), (3) changed little or not at all for products of intermediate nutritional quality (Nutri-Score C). CONCLUSIONS This research is the first in the literature to demonstrate that displaying the Nutri-Score in advertising messages assists consumers in directing their choices towards healthier foods. Regulations mandating the display of the Nutri-Score in food advertising could be an effective public health measure.
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Affiliation(s)
- Didier Courbet
- Aix-Marseille Univ, Université de Toulon, IMSIC, InCIAM, Marseille, France.
- Département Techniques de Commercialisation, Aix-Marseille University, IUT d'Aix-en-Provence, 413 Avenue Gaston Berger, Aix-en-Provence, 13100, France.
| | - Laure Jacquemier
- Aix-Marseille Univ, CRETLOG, Aix-en-Provence, France
- Département Techniques de Commercialisation, Aix-Marseille University, IUT d'Aix-en-Provence, 413 Avenue Gaston Berger, Aix-en-Provence, 13100, France
| | - Serge Hercberg
- Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Bobigny, 93017, France
- Public Health Department, Avicenne Hospital, Assistance Publique des Hôpitaux de Paris (AP-HP), Bobigny, France
| | - Mathilde Touvier
- Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Bobigny, 93017, France
| | - Barthélémy Sarda
- Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Bobigny, 93017, France
| | - Emmanuelle Kesse-Guyot
- Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Bobigny, 93017, France
| | - Pilar Galan
- Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Bobigny, 93017, France
| | | | - Chantal Julia
- Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Bobigny, 93017, France
- Public Health Department, Avicenne Hospital, Assistance Publique des Hôpitaux de Paris (AP-HP), Bobigny, France
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8
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Pacheco Da Silva E, Varraso R, Lenzotti AM, Fezeu LK, Sit G, Galan P, Hercberg S, Touvier M, Paris C, Dumas O, Le Moual N. Household Use of Green Cleaning Products, Disinfecting Wipes, and Asthma Control Among Adults. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2024; 12:919-926.e7. [PMID: 38151117 DOI: 10.1016/j.jaip.2023.12.029] [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: 06/08/2023] [Revised: 11/14/2023] [Accepted: 12/08/2023] [Indexed: 12/29/2023]
Abstract
BACKGROUND The use of household disinfectants and cleaning products (HDCPs) may negatively impact asthma control, but studies remain scarce. Moreover, no study considered green products or wipes, increasingly used during home cleaning. OBJECTIVE To assess the associations between the use of HDCPs, including disinfecting wipes and green products, and asthma control based on data from the French Web-based NutriNet-Santé cohort. METHODS Using a standardized questionnaire (2018), we assessed asthma control (never asthma: reference; controlled: Asthma Control Test ≥ 20; uncontrolled: Asthma Control Test < 20) and the use of HDCPs, including 2 types of products (irritants and green products) and 2 application modes (sprays and disinfecting wipes). Cross-sectional associations of the frequency of weekly use of HDCPs at home with asthma control, adjusted for sex, age, smoking status, body mass index, and educational level were assessed by multinomial logistic regressions. RESULTS Analyses were performed on 37,043 adults (mean age 47 y; 75% women; 62% with a weekly use of at least 1 HDCP). Strong associations were observed between weekly use of HDCPs and uncontrolled asthma. In particular, an almost daily use (4-7 d/wk) of irritants (odds ratio [OR] 2.81; 95% confidence interval [95% CI] 1.97-4.00) and green products (OR 2.40; 95% CI 1.70-3.39) as well as sprays (OR 2.69; 95% CI 1.97-3.68) and disinfecting wipes (OR 3.51; 95% CI 2.31-5.33) was associated with uncontrolled asthma. When not co-used with irritants and sprays, associations remained statistically significant for both disinfecting wipes and green products. CONCLUSIONS Weekly use of HDCPs, including green products or wipes, was associated with uncontrolled asthma and should be considered by health practitioners in order to improve asthma control.
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Affiliation(s)
- Emilie Pacheco Da Silva
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, INSERM, Équipe d'Épidémiologie Respiratoire Intégrative, CESP, Villejuif, France.
| | - Raphaëlle Varraso
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, INSERM, Équipe d'Épidémiologie Respiratoire Intégrative, CESP, Villejuif, France
| | - Anne-Marine Lenzotti
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, INSERM, Équipe d'Épidémiologie Respiratoire Intégrative, CESP, Villejuif, France
| | - Léopold K Fezeu
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Guillaume Sit
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, INSERM, Équipe d'Épidémiologie Respiratoire Intégrative, CESP, Villejuif, France
| | - Pilar Galan
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Serge Hercberg
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Christophe Paris
- Équipe d'Épidémiologie en santé au travail et ergonomie (Ester), Université Rennes 1, Institut de recherche en santé, environnement et travail (Irset), INSERM (U1085), École des Hautes Études en Santé Publique (EHESP), Rennes, France
| | - Orianne Dumas
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, INSERM, Équipe d'Épidémiologie Respiratoire Intégrative, CESP, Villejuif, France
| | - Nicole Le Moual
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, INSERM, Équipe d'Épidémiologie Respiratoire Intégrative, CESP, Villejuif, France
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Jin X, Wu M, Dong S, Liu H, Ma H. Artificially sweetened beverages consumption and risk of obesity-related cancers: a wide-angled Mendelian randomization study. Front Nutr 2024; 11:1347724. [PMID: 38524848 PMCID: PMC10959093 DOI: 10.3389/fnut.2024.1347724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/23/2024] [Indexed: 03/26/2024] Open
Abstract
Background The impact of artificially sweetened beverages (ASBs) consumption on obesity-related cancers (ORCs) risk remains controversial. To address this challenging issue, this study employed wide-angle mendelian randomization (MR) analyses to explore the genetic causality between ASB consumption and the risk of ORCs, thereby effectively minimizing the impact of external confounders. Methods We conducted a suite of analyses encompassing univariable, multivariable, and two-step MR to evaluate causal associations between ASB consumption (samples = 85,852) and risk of ORCs (total samples = 2,974,770) using summary statistics from genome-wide association studies (GWAS). Total, direct, and intermediary effects were derived by performing inverse-variance weighted (IVW), MR-Egger, weighted mode, weighted median, and lasso method. Additionally, we performed an extensive range of sensitivity analyses to counteract the potential effects of confounders, heterogeneity, and pleiotropy, enhancing the robustness and reliability of the findings. Results Genetically predicted ASB consumption was positively associated with the risk of colorectal cancer (CRC, p = 0.011; OR: 6.879; 95% CI: 1.551, 30.512 by IVW) and breast cancer (p = 0.022; OR: 3.881; 95% CI: 2.023, 9.776 by IVW). Multivariable analysis yielded similar results. The results of the two-step MR unveiled that body mass index (BMI) assumes a pivotal role in mediating the association between ASB consumption and CRC risk (intermediary effect = 0.068, p = 0.024). Conclusion No causal connection exists between ASB consumption and the majority of ORCs, in addition to CRC and breast cancer. Additionally, our findings suggest that BMI might be a potential mediator in the association between ASB consumption and CRC.
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Affiliation(s)
- Xing Jin
- Department of Laboratory Medicine, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
| | - Mengyue Wu
- Medical College, Yangzhou University, Yangzhou, China
| | - Shuangshuang Dong
- Department of Radiotherapy, General Hospital of Southern Theatre Command, Guangzhou, China
| | - Hui Liu
- Department of Endocrinology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
| | - Haochuan Ma
- Department of Oncology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China
- Guangdong Provincial Hospital of Chinese Medicine Postdoctoral Research Workstation, Guangzhou, China
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10
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Kose J, Duquenne P, Hercberg S, Galan P, Touvier M, Fezeu LK, Andreeva VA. Co-occurrence of habit-forming risk behaviors and their socio-demographic, health status and lifestyle determinants: a population-based cross-sectional study. Arch Public Health 2024; 82:26. [PMID: 38419088 PMCID: PMC10900606 DOI: 10.1186/s13690-024-01251-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 02/07/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Although habit-forming risk behaviors frequently co-occur, determinants of concurrent risk behaviors have rarely been investigated. The aim of the present study was to investigate socio-demographic, health status, and lifestyle determinants of single versus concurrent risk behaviors in general-population adults. METHODS We analyzed data from 32,622 participants (74.5% female; mean age = 57.9 ± 14.2 years) of the NutriNet-Santé cohort who completed the Alcohol Use Disorders Identification Test, the 12-item Cigarette Dependence Scale, the modified Yale Food Addiction Scale 2.0, and the Internet Addiction Test in 2021-2022. Using established cutoffs, participants were first split into 2 groups (presence versus absence) for each risk variable (alcohol use disorders, nicotine dependence, food addiction, Internet addiction) and were then divided into 3 groups (no risk behavior, 1 risk behavior (reference), and ≥ 2 risk behaviors). The association between socio-demographic, health status, and lifestyle exposures and individual/concurrent risk behaviors were investigated with polytomous logistic regression. RESULTS Younger age (Odds Ratio (OR) = 2.04; 95% Confidence Interval (CI: 1.62-2.56), current financial difficulties (OR = 1.29; CI: 1.08-1.54), self-perceived poor health (OR = 1.70; CI: 1.32-2.20), overall poor dietary quality (OR = 2.88; CI: 2.06-4.02), being underweight (OR = 1.46; CI: 1.05-2.04), having obesity (OR = 1.62; CI: 1.31-1.99), lack of affection during childhood (OR = 1.41; CI: 1.18-1.69), and a lifetime prevalence or medication use for a mental disorder (OR = 1.46; CI: 1.24-1.73) were positively associated with having ≥ 2 versus 1 risk behavior (all p < 0.05). The comparison of none versus 1 risk behavior revealed the same determinants in addition to having a higher education, being physically active at work, and being overweight. CONCLUSIONS We investigated determinants of concurrent habit-forming risk behaviors among adults in a large, population-based study. The findings could serve as impetus for future research in this domain and ultimately help guide addiction prevention efforts.
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Affiliation(s)
- Junko Kose
- Nutritional Epidemiology Research Group (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, University of Paris (CRESS), Bobigny, France
| | - Pauline Duquenne
- Nutritional Epidemiology Research Group (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, University of Paris (CRESS), Bobigny, France
| | - Serge Hercberg
- Nutritional Epidemiology Research Group (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, University of Paris (CRESS), Bobigny, France
- Department of Public Health, AP-HP Paris Seine-Saint-Denis Hospital System, Bobigny, France
| | - Pilar Galan
- Nutritional Epidemiology Research Group (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, University of Paris (CRESS), Bobigny, France
| | - Mathilde Touvier
- Nutritional Epidemiology Research Group (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, University of Paris (CRESS), Bobigny, France
| | - Léopold K Fezeu
- Nutritional Epidemiology Research Group (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, University of Paris (CRESS), Bobigny, France
| | - Valentina A Andreeva
- Nutritional Epidemiology Research Group (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, University of Paris (CRESS), Bobigny, France.
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11
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Duquenne P, Capperella J, Fezeu LK, Srour B, Benasi G, Hercberg S, Touvier M, Andreeva VA, St-Onge MP. The association between ultra-processed food consumption and chronic insomnia in the NutriNet-Santé Study. J Acad Nutr Diet 2024:S2212-2672(24)00094-7. [PMID: 38423510 DOI: 10.1016/j.jand.2024.02.015] [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: 08/21/2023] [Revised: 01/02/2024] [Accepted: 02/26/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND The consumption of ultra-processed foods (UPF) is on the rise worldwide, and it has been linked to numerous health conditions, such as diabetes, obesity, and cancer. Few studies have focused on the effect of UPF consumption on sleep health and even fewer on chronic insomnia. OBJECTIVE This study investigated the association between UPF intake and chronic insomnia in a large population-based sample. DESIGN This was a cross-sectional analysis using the NutriNet-Santé study data, an ongoing Web cohort in France. PARTICIPANTS/SETTING Thirty-eight thousand five hundred seventy adult males and females who had completed a sleep questionnaire (2014) and at least two 24-hour dietary records were included in the analysis. MAIN OUTCOMES MEASURES Chronic insomnia was defined according to established criteria. Categorization of food and beverages as UPF was based on the NOVA-Group 4 classification. STATISTICAL ANALYSES PERFORMED The cross-sectional association between UPF intake and chronic insomnia was assessed using multivariable logistic regression. RESULTS Among the 38,570 participants (mean age, 50.0 ±14.8 years, 77.0% female) included in the analysis, 19.4% had symptoms of chronic insomnia. On average, UPF represented 16% of the total amount (g/day) of the overall dietary intake. In the fully adjusted model, UPF consumption was associated with higher odds of chronic insomnia (odds ratio [OR] for an absolute 10% greater UPF intake in the diet = 1.06; 95% confidence interval [CI]: 1.02-1.09). Sex-specific OR for chronic insomnia for an absolute 10% greater UPF intake in the diet were 1.09 (1.01-1.18) among males and 1.05 (1.01-1.09) among females. CONCLUSIONS This large epidemiological study revealed a statistically significant association between UPF intake and chronic insomnia, independent of sociodemographic, lifestyle, diet quality, and mental health status covariates. The findings provide insights for future longitudinal research as well as nutrition- and sleep-focused intervention and prevention programs.
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Affiliation(s)
- Pauline Duquenne
- Sorbonne Paris Nord University and Paris Cité University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center for Research in Epidemiology and Statistics (CRESS), Bobigny, France.
| | - Julia Capperella
- Sorbonne Paris Nord University and Paris Cité University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center for Research in Epidemiology and Statistics (CRESS), Bobigny, France
| | - Léopold K Fezeu
- Sorbonne Paris Nord University and Paris Cité University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center for Research in Epidemiology and Statistics (CRESS), Bobigny, France
| | - Bernard Srour
- Sorbonne Paris Nord University and Paris Cité University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center for Research in Epidemiology and Statistics (CRESS), Bobigny, France
| | - Giada Benasi
- Division of General Medicine and Center of Excellence for Sleep & Circadian Research, Department of Medicine, Columbia University, New York, NY
| | - Serge Hercberg
- Sorbonne Paris Nord University and Paris Cité University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center for Research in Epidemiology and Statistics (CRESS), Bobigny, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University and Paris Cité University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center for Research in Epidemiology and Statistics (CRESS), Bobigny, France
| | - Valentina A Andreeva
- Sorbonne Paris Nord University and Paris Cité University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center for Research in Epidemiology and Statistics (CRESS), Bobigny, France; Division of General Medicine and Center of Excellence for Sleep & Circadian Research, Department of Medicine, Columbia University, New York, NY
| | - Marie-Pierre St-Onge
- Division of General Medicine and Center of Excellence for Sleep & Circadian Research, Department of Medicine, Columbia University, New York, NY.
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Bénard M, Robert M, Méjean C, Allès B, Kesse-Guyot E, Paolassini-Guesnier P, Bellisle F, Etilé F, Reach G, Hercberg S, Touvier M, Péneau S. The association between consideration of future consequences and food intake is mediated by food choice motives in a French adult population. Public Health Nutr 2024; 27:e82. [PMID: 38326937 DOI: 10.1017/s1368980023002501] [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] [Indexed: 02/09/2024]
Abstract
OBJECTIVES Consideration of future consequences (CFC) distinguishes individuals who adopt behaviours based on immediate needs and concerns from individuals who consider the future consequences of their behaviours. We aimed to assess the association between CFC and diet, and testing the mediating role of food choice motives on this relationship. DESIGN Individuals (aged ≥ 18 years) completed the CFC-12 questionnaire in 2014, at least three 24-h dietary records, and a food choice motive questionnaire. A multiple mediator analysis allowed to assess the mediating effect of food choice motives on the cross-sectional association between CFC and diet, adjusted for socio-demographic factors. SETTING Data from the NutriNet-Santé cohort study. PARTICIPANTS 27 330 participants. RESULTS CFC was associated with all food choice motives (P < 0·001), with the strongest positive associations for avoidance for environmental reasons, absence of contaminants and health motives and the strongest negative associations for innovation and convenience. Positive total effects were found between CFC and the consumption of healthy food groups (fruits and vegetables, whole-grain foods, legumes), and negative total effects for alcohol, meat and poultry and processed meat (P < 0·001). CFC was positively associated with diet quality (P < 0·001). Across food groups, major mediators of these relationships were higher health (8·4-32·6%), higher environmental (13·7-22·1 %) and lower innovation (7·3-25·1 %) concerns. CONCLUSIONS CFC was associated with healthier dietary intake, essentially mediated by a greater motivation of future-oriented participants for self-centred and altruistic outcomes, including health and environment. Focusing on the awareness of future benefits in public health interventions might lead to healthier dietary behaviours.
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Affiliation(s)
- Marc Bénard
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74, rue Marcel Cachin, 93017Bobigny, France
| | - Margaux Robert
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74, rue Marcel Cachin, 93017Bobigny, France
| | - Caroline Méjean
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74, rue Marcel Cachin, 93017Bobigny, France
- MOISA, Univ Montpellier, INRAE, CIRAD, CIHEAM-IAMM, Montpellier SupAgro, Montpellier, France
| | - Benjamin Allès
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74, rue Marcel Cachin, 93017Bobigny, France
| | - Emmanuelle Kesse-Guyot
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74, rue Marcel Cachin, 93017Bobigny, France
| | - Pauline Paolassini-Guesnier
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74, rue Marcel Cachin, 93017Bobigny, France
| | - France Bellisle
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74, rue Marcel Cachin, 93017Bobigny, France
| | - Fabrice Etilé
- Paris School of Economics and INRAE, UMR1393 PjSE, 48 Boulevard Jourdan, Paris, France
| | - Gérard Reach
- Department of Endocrinology, Diabetes and Metabolic Diseases, Avicenne Hospital, Bobigny, France
| | - Serge Hercberg
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74, rue Marcel Cachin, 93017Bobigny, France
- Public Health Department, Avicenne Hospital, Bobigny, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74, rue Marcel Cachin, 93017Bobigny, France
| | - Sandrine Péneau
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74, rue Marcel Cachin, 93017Bobigny, France
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13
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Sellem L, Srour B, Javaux G, Chazelas E, Chassaing B, Viennois E, Debras C, Druesne-Pecollo N, Esseddik Y, Szabo de Edelenyi F, Arnault N, Agaësse C, De Sa A, Lutchia R, Huybrechts I, Scalbert A, Pierre F, Coumoul X, Julia C, Kesse-Guyot E, Allès B, Galan P, Hercberg S, Deschasaux-Tanguy M, Touvier M. Food additive emulsifiers and cancer risk: Results from the French prospective NutriNet-Santé cohort. PLoS Med 2024; 21:e1004338. [PMID: 38349899 PMCID: PMC10863884 DOI: 10.1371/journal.pmed.1004338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 12/20/2023] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND Emulsifiers are widely used food additives in industrially processed foods to improve texture and enhance shelf-life. Experimental research suggests deleterious effects of emulsifiers on the intestinal microbiota and the metabolome, leading to chronic inflammation and increasing susceptibility to carcinogenesis. However, human epidemiological evidence investigating their association with cancer is nonexistent. This study aimed to assess associations between food additive emulsifiers and cancer risk in a large population-based prospective cohort. METHODS AND FINDINGS This study included 92,000 adults of the French NutriNet-Santé cohort without prevalent cancer at enrolment (44.5 y [SD: 14.5], 78.8% female, 2009 to 2021). They were followed for an average of 6.7 years [SD: 2.2]. Food additive emulsifier intakes were estimated for participants who provided at least 3 repeated 24-h dietary records linked to comprehensive, brand-specific food composition databases on food additives. Multivariable Cox regressions were conducted to estimate associations between emulsifiers and cancer incidence. Overall, 2,604 incident cancer cases were diagnosed during follow-up (including 750 breast, 322 prostate, and 207 colorectal cancers). Higher intakes of mono- and diglycerides of fatty acids (FAs) (E471) were associated with higher risks of overall cancer (HR high vs. low category = 1.15; 95% CI [1.04, 1.27], p-trend = 0.01), breast cancer (HR = 1.24; 95% CI [1.03, 1.51], p-trend = 0.04), and prostate cancer (HR = 1.46; 95% CI [1.09, 1.97], p-trend = 0.02). In addition, associations with breast cancer risk were observed for higher intakes of total carrageenans (E407 and E407a) (HR = 1.32; 95% CI [1.09, 1.60], p-trend = 0.009) and carrageenan (E407) (HR = 1.28; 95% CI [1.06, 1.56], p-trend = 0.01). No association was detected between any of the emulsifiers and colorectal cancer risk. Several associations with other emulsifiers were observed but were not robust throughout sensitivity analyses. Main limitations include possible exposure measurement errors in emulsifiers intake and potential residual confounding linked to the observational design. CONCLUSIONS In this large prospective cohort, we observed associations between higher intakes of carrageenans and mono- and diglycerides of fatty acids with overall, breast and prostate cancer risk. These results need replication in other populations. They provide new epidemiological evidence on the role of emulsifiers in cancer risk. TRIAL REGISTRATION ClinicalTrials.gov NCT03335644.
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Affiliation(s)
- Laury Sellem
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Bernard Srour
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Guillaume Javaux
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Eloi Chazelas
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Benoit Chassaing
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
- INSERM U1016, team “Mucosal microbiota in chronic inflammatory diseases”, CNRS UMR 8104, Université Paris Cité, Paris, France
| | - Emilie Viennois
- INSERM U1149, Center of Research on Inflammation, Université Paris Cité, Paris, France
| | - Charlotte Debras
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Nathalie Druesne-Pecollo
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Younes Esseddik
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Fabien Szabo de Edelenyi
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Nathalie Arnault
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Cédric Agaësse
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Alexandre De Sa
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Rebecca Lutchia
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Inge Huybrechts
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Augustin Scalbert
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Fabrice Pierre
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Xavier Coumoul
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
- INSERM UMR-S 1124, Université Paris Cité, Paris, France
| | - Chantal Julia
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Public Health Department, Groupe Hospitalier Paris-Seine-Saint-Denis, Assistance Publique-hôpitaux de Paris (AP-HP), Bobigny, 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), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Benjamin Allès
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Pilar Galan
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Serge Hercberg
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
- Public Health Department, Groupe Hospitalier Paris-Seine-Saint-Denis, Assistance Publique-hôpitaux de Paris (AP-HP), Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
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14
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Robert M, Allès B, Gisch UA, Shankland R, Hercberg S, Touvier M, Leys C, Péneau S. Cross-sectional and longitudinal associations between self-esteem and BMI depends on baseline BMI category in a population-based study. BMC Public Health 2024; 24:230. [PMID: 38243225 PMCID: PMC10797749 DOI: 10.1186/s12889-024-17755-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/11/2024] [Indexed: 01/21/2024] Open
Abstract
BACKGROUND Some studies have reported associations between self-esteem and weight status, but longitudinal data on adults remain scarce. The aim of this population-based study was to analyze the cross-sectional and longitudinal association between self-esteem and body mass index (BMI) and to investigate whether baseline BMI has an impact on this association. METHODS In 2016, 29,735 participants aged ≥ 18 years in the NutriNet-Santé cohort completed the Rosenberg Self-Esteem Scale. BMI was self-reported yearly over a 4-year period. Association between self-esteem and BMI was assessed using mixed models and logistic regressions. Analyses were stratified by BMI (categorical) at baseline and adjusted on sociodemographic and lifestyle characteristics. RESULTS At baseline, higher self-esteem was associated with higher BMI in normal weight individuals(p = 0.32), and with lower BMI in obese class II and III individuals (p = 0.13). In addition, higher baseline self-esteem was associated with BMI increase over time in normal weight individuals (p = 0.15). Among normal weight individuals, those with higher self-esteem were less likely to show a decrease in their BMI (p = 0.005), while no association was observed with BMI increase (p = 0.81). DISCUSSION Our findings suggest that the association between self-esteem and BMI depends on the initial category of BMI, with a negligible effect of self-esteem.
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Affiliation(s)
- Margaux Robert
- 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
| | - Benjamin Allès
- 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
| | - Ulrike A Gisch
- 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
- Department of Psychology, Counseling Psychology, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476, Potsdam, Germany
- Institute of Nutritional Science, Department of Nutritional Psychology, Justus Liebig University Giessen, Giessen, Germany
| | - Rebecca Shankland
- DIPHE Laboratory (Développement, Individu, Processus, Handicap, Education), University Lumière Lyon 2, Lyon, France
| | - Serge Hercberg
- 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
- Public Health Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France
| | - Mathilde Touvier
- 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
| | - Christophe Leys
- Service of Analysis of the Data (SAD), Université Libre de Bruxelles, Bruxelles, Belgium
| | - Sandrine Péneau
- 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.
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15
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Baudry J, Neves F, Lairon D, Allès B, Langevin B, Brunin J, Berthy F, Danquah I, Touvier M, Hercberg S, Amiot MJ, Pointereau P, Kesse-Guyot E. Sustainability analysis of the Mediterranean diet: results from the French NutriNet-Santé study. Br J Nutr 2023; 130:2182-2197. [PMID: 37357796 DOI: 10.1017/s0007114523001411] [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] [Indexed: 06/27/2023]
Abstract
The Mediterranean diet is often proposed as a sustainable diet model. This study aimed to evaluate the associations between adherence to the Mediterranean diet and sustainability domains in a cohort of French adults, using multiple criteria including nutritional quality, environmental pressures, monetary cost and dietary pesticide exposure. Food intakes of 29 210 NutriNet-Santé volunteers were assessed in 2014 using a semi-quantitative FFQ. Adherence to the Mediterranean diet was evaluated using the validated literature-based adherence score (MEDI-LITE). The associations between the MEDI-LITE and various sustainability indicators were examined using ANCOVA models, adjusted for sex, age and energy intake. Higher adherence to the MEDI-LITE was associated with higher nutritional quality scores, better overall nutrient profile as well as reduced environmental impact (land occupation: Q5 v. Q1: -35 %, greenhouse gas emissions: -40 % and cumulative energy demand: -17 %). In turn, monetary cost increased with increasing adherence to the Mediterranean diet (Q5 v. Q1: +15 %), while higher adherents to the Mediterranean diet had overall higher pesticide exposure due to their high plant-based food consumption. In this large cohort of French adults, greater adherence to the Mediterranean diet was associated with nutritional and environmental benefits, but also with higher monetary cost and greater exposure to pesticides, illustrating the necessity to develop large-scale strategies for healthy, safe (pesticide- and contaminant-free) and environmentally sustainable diets for all.
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Affiliation(s)
- Julia Baudry
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017 Bobigny, France
| | - Floriane Neves
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017 Bobigny, France
| | - Denis Lairon
- Aix Marseille Université, Inserm, INRAE, C2VN, Marseille, France
| | - Benjamin Allès
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017 Bobigny, France
| | | | - Joséphine Brunin
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017 Bobigny, France
| | - Florine Berthy
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017 Bobigny, France
| | - Ina Danquah
- Heidelberg Institute of Global Health (HIGH), Medical Faculty and University Hospital, Heidelberg University, Heidelberg, Germany
| | - Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017 Bobigny, France
| | - Serge Hercberg
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017 Bobigny, France
- Département de Santé Publique, Hôpital Avicenne, Bobigny, France
| | - Marie-Josèphe Amiot
- MoISA, Univ Montpellier, CIHEAM-IAMM, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
| | | | - Emmanuelle Kesse-Guyot
- Université Sorbonne Paris Nord and Université Paris Cité, Inserm, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017 Bobigny, France
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16
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Palomar-Cros A, Andreeva VA, Fezeu LK, Julia C, Bellicha A, Kesse-Guyot E, Hercberg S, Romaguera D, Kogevinas M, Touvier M, Srour B. Dietary circadian rhythms and cardiovascular disease risk in the prospective NutriNet-Santé cohort. Nat Commun 2023; 14:7899. [PMID: 38097547 PMCID: PMC10721609 DOI: 10.1038/s41467-023-43444-3] [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: 04/18/2023] [Accepted: 11/09/2023] [Indexed: 12/17/2023] Open
Abstract
Daily eating/fasting cycles synchronise circadian peripheral clocks, involved in the regulation of the cardiovascular system. However, the associations of daily meal and fasting timing with cardiovascular disease (CVD) incidence remain unclear. We used data from 103,389 adults in the NutriNet-Santé study. Meal timing and number of eating occasions were estimated from repeated 24 h dietary records. We built multivariable Cox proportional-hazards models to examine their association with the risk of CVD, coronary heart disease and cerebrovascular disease. In this study, having a later first meal (later than 9AM compared to earlier than 8AM) and last meal of the day (later than 9PM compared to earlier than 8PM) was associated with a higher risk of cardiovascular outcomes, especially among women. Our results suggest a potential benefit of adopting earlier eating timing patterns, and coupling a longer nighttime fasting period with an early last meal, rather than breakfast skipping, in CVD prevention.
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Affiliation(s)
- Anna Palomar-Cros
- Barcelona Institute for Global Health (ISGlobal), 08003, Barcelona, Spain
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain
| | - Valentina A Andreeva
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Léopold K Fezeu
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Chantal Julia
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Public Health Department, Avicenne Hospital, AP-HP, Bobigny, France
| | - Alice Bellicha
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, 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), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Serge Hercberg
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Public Health Department, Avicenne Hospital, AP-HP, Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Dora Romaguera
- Barcelona Institute for Global Health (ISGlobal), 08003, Barcelona, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), 28029, Madrid, Spain
| | - Manolis Kogevinas
- Barcelona Institute for Global Health (ISGlobal), 08003, Barcelona, Spain
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), 08003, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, 28029, Madrid, Spain
| | - Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Bernard Srour
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France.
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France.
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17
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Mohamadi M, Dousdampanis P, Ahmadi Z, Pourmasumi S, Naderi M, Zainodini N, Nazari A. Nut consumption and urogenital and genital, gastrointestinal and women-related cancers: Assessment and review. Chronic Dis Transl Med 2023; 9:277-287. [PMID: 37915385 PMCID: PMC10617366 DOI: 10.1002/cdt3.87] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 06/06/2023] [Accepted: 07/06/2023] [Indexed: 11/03/2023] Open
Abstract
The prevalence of cancer, especially in industrial countries, is a major problem for health and treatment systems. Cancer can affect the quality of life of all family members and has many negative effects on the community. Despite many advances in cancer treatment, this disease is still a major worldwide problem. There is strong evidence that dietary habits are effective in protecting against cancer and even helping in the disease treatment progress. Nuts with various biologically-active compounds, such as vitamins, phytosterols, isoflavones, flavonoids, and polyphenols have been reported to possess anticarcinogenic properties. Accordingly, this review provides an insight into the association between nut consumption and the prevention of some cancers. We considered the cancers related to the urogenital and genital tract, gastrointestinal tract, as well as women-related cancers. Both cell culture examinations and experimental animal studies alongside observational epidemiological studies demonstrated that regular consumption of a nut-enriched diet is able to reduce the risk of these cancers.
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Affiliation(s)
- Maryam Mohamadi
- Occupational Safety and Health Research Center, NICICOWorld safety organization and Rafsanjan University of Medical SciencesRafsanjanIran
| | | | - Zahra Ahmadi
- Pistachio Safety Research CenterRafsanjan University of Medical SciencesRafsanjanIran
| | - Soheila Pourmasumi
- Social Determinants of Health Research CenterRafsanjan University of Medical SciencesRafsanjanIran
- Clinical Research Development Unit, Ali‐Ibn Abi‐Talib HospitalRafsanjan University of Medical SciencesRafsanjanIran
| | - Monavare Naderi
- Vice Chancellor for Research and TechnologyRafsanjan University of Medical SciencesRafsanjanIran
| | - Nahid Zainodini
- Immunology of Infectious Diseases Research Center, Research Institute of Basic Medical SciencesRafsanjan University of Medical SciencesRafsanjanIran
| | - Alireza Nazari
- Department of Surgery, School of MedicineRafsanjan University of Medical SciencesRafsanjanIran
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18
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Kesse-Guyot E, Allès B, Brunin J, Langevin B, Fouillet H, Dussiot A, Berthy F, Reuzé A, Perraud E, Rebouillat P, Touvier M, Hercberg S, Mariotti F, Lairon D, Pointereau P, Baudry J. Environmental pressures and pesticide exposure associated with an increase in the share of plant-based foods in the diet. Sci Rep 2023; 13:19317. [PMID: 37935749 PMCID: PMC10630347 DOI: 10.1038/s41598-023-46032-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 10/26/2023] [Indexed: 11/09/2023] Open
Abstract
Diets rich in plant-based foods are encouraged for human health and to preserve resources and the environment but the nutritional quality and safety of such diets is debated. This study aimed to model nutritionally adequate diets with increasing plant food content and to characterise the derived diets using a multicriteria approach including, nutrients intake, environmental pressures and exposure to pesticides. Using data of the NutriNet-Santé cohort (N = 29,413), we implemented stepwise optimization models to identified maximum plant-food content under nutritional constraints. Environmental indicators at the production level were derived from the DIALECTE database, and exposure to pesticide residues from plant food consumption was estimated using a contamination database. Plant-based foods contributed to 64.3% (SD = 10.6%) of energy intake in observed diets and may reach up to 95% in modelled diets without jeopardizing nutritional status. Compared to the observed situation, an increase in plant-based foods in the diets led to increases in soy-based products (+ 480%), dried fruits (+ 370%), legumes (+ 317%), whole grains (+ 251%), oils (+ 144%) and vegetables (+ 93%). Animal products decreased progressively until total eviction, except for beef (- 98%). Dietary quality (estimated using the Diet Quality Index Based on the Probability of Adequate Nutrient Intake) was improved (up to 17%) as well as GHGe (up to - 65%), energy demand (up to - 48%), and land occupation (- 56%) for production. Exposures to pesticides from plant-based foods were increased by 100% conventional production and to a much lesser extent by 100% organic production. This study shows that shifting to nutritionally-adequate plant-based diets requires an in-depth rearrangement of food groups' consumption but allows a drastic reduction environmental impact. Increase exposure to pesticide residues and related risks can be mitigated by consuming foods produced with low pesticide input.
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Affiliation(s)
- Emmanuelle Kesse-Guyot
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center (CRESS), Sorbonne Paris Nord University and University of Paris, Inserm, INRAE, Cnam, 74 Rue Marcel Cachin, 93017, Bobigny, France.
| | - Benjamin Allès
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center (CRESS), Sorbonne Paris Nord University and University of Paris, Inserm, INRAE, Cnam, 74 Rue Marcel Cachin, 93017, Bobigny, France
| | - Joséphine Brunin
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center (CRESS), Sorbonne Paris Nord University and University of Paris, Inserm, INRAE, Cnam, 74 Rue Marcel Cachin, 93017, Bobigny, France
- ADEME, Agence de l'Environnement et de la Maîtrise de l'Energie, 49004, Angers, France
| | | | - Hélène Fouillet
- UMR PNCA, AgroParisTech, INRAE, Paris-Saclay University, 75005, Paris, France
| | - Alison Dussiot
- Solagro, 75, Voie TOEC, CS 27608, 31076, Toulouse Cedex 3, France
| | - Florine Berthy
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center (CRESS), Sorbonne Paris Nord University and University of Paris, Inserm, INRAE, Cnam, 74 Rue Marcel Cachin, 93017, Bobigny, France
| | - Anouk Reuzé
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center (CRESS), Sorbonne Paris Nord University and University of Paris, Inserm, INRAE, Cnam, 74 Rue Marcel Cachin, 93017, Bobigny, France
| | - Elie Perraud
- UMR PNCA, AgroParisTech, INRAE, Paris-Saclay University, 75005, Paris, France
| | - Pauline Rebouillat
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center (CRESS), Sorbonne Paris Nord University and University of Paris, Inserm, INRAE, Cnam, 74 Rue Marcel Cachin, 93017, Bobigny, France
| | - Mathilde Touvier
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center (CRESS), Sorbonne Paris Nord University and University of Paris, Inserm, INRAE, Cnam, 74 Rue Marcel Cachin, 93017, Bobigny, France
| | - Serge Hercberg
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center (CRESS), Sorbonne Paris Nord University and University of Paris, Inserm, INRAE, Cnam, 74 Rue Marcel Cachin, 93017, Bobigny, France
- Département de Santé Publique, Hôpital Avicenne, 93017, Bobigny, France
| | - François Mariotti
- UMR PNCA, AgroParisTech, INRAE, Paris-Saclay University, 75005, Paris, France
| | - Denis Lairon
- INSERM, INRAE, C2VN, Aix Marseille Université, 13005, Marseille, France
| | | | - Julia Baudry
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center (CRESS), Sorbonne Paris Nord University and University of Paris, Inserm, INRAE, Cnam, 74 Rue Marcel Cachin, 93017, Bobigny, France
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19
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Vanhelst J, Srour B, Bourhis L, Charreire H, VerdotDeschasaux-Tanguy CM, Druesne-Pecollo N, de Edelenyi FS, Allègre J, Allès B, Deschamps V, Bellicha A, Fezeu LK, Galan P, Julia C, Kesse-Guyot E, Hercberg S, Bajos N, Severi G, Zins M, de Lamballerie X, Carrat F, Oppert JM, Touvier M. Association of SARS-CoV-2 infection with physical activity domains and types. Sci Rep 2023; 13:19187. [PMID: 37932323 PMCID: PMC10628273 DOI: 10.1038/s41598-023-46162-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 10/28/2023] [Indexed: 11/08/2023] Open
Abstract
Lockdown imposed in the early phase of the SARS-CoV-2 outbreak represented a specific setting where activity was restricted but still possible. The aim was to investigate the cross-sectional associations between physical activity (PA) and SARS-CoV-2 infection in a French population-based cohort. Participants completed a PA questionnaire. PA was classified into: (i) total PA; (ii) aerobic PA by intensity; (iii) strengthening PA; (iv) PA by domain and type; and (vii) by location. Sedentary time was also recorded. Seroprevalence of anti-SARS-CoV-2 antibodies was assessed. Multivariable logistic regression models controlling for sociodemographic, lifestyle, anthropometric data, health status, and adherence to recommended protective anti-SARS-CoV-2 behaviours were computed. From 22,165 participants included, 21,074 (95.1%) and 1091 (4.9%) had a negative and positive ELISA-S test result, respectively. Total PA, vigorous PA, leisure-time PA, household PA, outdoor PA and indoor PA were all associated with lower probability of SARS-CoV-2 infection. Observations made in such a setting shed light on PA possibilities in a context of restricted mobility, where the health benefits of PA should not be overlooked. Along with already well-established benefits of PA for non-communicable disease prevention, these findings provide additional evidence for policies promoting all types of PA as a lever for population health.
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Affiliation(s)
- Jérémy Vanhelst
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France.
| | - Bernard Srour
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
| | - Laurent Bourhis
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
| | - Hélène Charreire
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
- MoISA, Univ Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, Montpellier, France
| | - Charlotte Mélanie VerdotDeschasaux-Tanguy
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
- Santé Publique France, Nutritional Surveillance and Epidemiology Team (ESEN), Sorbonne Paris Nord University, Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
| | - Nathalie Druesne-Pecollo
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
| | - Fabien Szabo de Edelenyi
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
| | - Julien Allègre
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
| | - Benjamin Allès
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
| | - Valérie Deschamps
- Santé Publique France, Nutritional Surveillance and Epidemiology Team (ESEN), Sorbonne Paris Nord University, Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
| | - Alice Bellicha
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
| | - Leopold K Fezeu
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
| | - Pilar Galan
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
| | - Chantal Julia
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
- Département de Santé Publique, APHP, Sorbonne Université, Paris, 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), 93017, Bobigny, France
| | - Serge Hercberg
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
| | - Nathalie Bajos
- IRIS, UMR CNRS 8156, EHESS, Inserm U997, Aubervilliers, France
| | - Gianluca Severi
- Paris-Saclay University, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" Team, CESP UMR1018, Villejuif, France
- Department of Statistics, Computer Science and Applications "G. Parenti", University of Florence, Florence, Italy
| | - Marie Zins
- Paris University, Paris, France
- Inserm UMS 11, Paris Saclay University, Villejuif, France
| | - Xavier de Lamballerie
- Unité des Virus Emergents (UVE), Aix Marseille Univ, IRD 190, INSERM 1207, Marseille, France
| | - Fabrice Carrat
- Sorbonne Université, Inserm, Institut Pierre-Louis d'Epidémiologie et de Santé Publique, Paris, France
| | - Jean-Michel Oppert
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
- Department of Nutrition, Human Nutrition Research Center Ile-de-France (CRNH IdF), Pitié-Salpêtrière Hospital (AP-HP), Sorbonne University, Paris, France
| | - Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), 93017, Bobigny, France
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20
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Reuzé A, Méjean C, Sirieix L, Baudry J, Kesse-Guyot E, Druesne-Pecollo N, Brunin J, Hercberg S, Touvier M, Péneau S, Allès B. Stages of Change toward Meat Reduction: Associations with Motives and Longitudinal Dietary Data on Animal-Based and Plant-Based Food Intakes in French Adults. J Nutr 2023; 153:3295-3307. [PMID: 37774842 DOI: 10.1016/j.tjnut.2023.09.017] [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: 06/23/2023] [Revised: 09/12/2023] [Accepted: 09/21/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND Reducing meat consumption is advocated for healthier and more sustainable diets. However, behavioral studies are needed to better understand the mechanisms underlying meat-reducing dietary changes. OBJECTIVES The main aim of this study was to compare the motives associated with stages of change toward meat reduction in French adults, using the transtheoretical model (TTM). A second aim was to investigate the associations between stages of change and adherence to dietary patterns favoring a better balance of animal and plant food consumption over time. METHODS This longitudinal study included 25,143 non-vegetarian participants of the web-based NutriNet-Santé cohort with a mean follow-up of 6.2 (SD = 2.6) y. Dietary data were obtained from 24-h dietary records over the period 2009-2019. The contribution of meat to total energy intake and scores measuring the contribution of healthy and unhealthy plant-based foods to the diet were computed. A questionnaire completed in 2018 allowed us to identify the TTM stages of change related to meat reduction (precontemplation, contemplation, preparation, action, and maintenance), and recorded motives related to meat consumption. We used multivariate linear mixed models for repeated data to assess associations between food intake changes and stages, and logistic regression for motives, presented as adjusted frequencies. RESULTS Participants in later stages were characterized by a significantly higher decrease in meat intake over time, compared with the earliest stage (for example, βmaintenance ∗ time = -0.08, P < 0.0001), and a higher increase in the healthy plant-based food consumption score over time (for example, βmaintenance∗time = 0.11, P < 0.0001). Concerns about health, nutrition, and the environment were the most frequently cited motives for reducing meat consumption at all stages. CONCLUSIONS Individuals who had already initiated meat reduction adhered to healthier and more sustainable diets than meat continuers. Characterizing motives according to readiness to reduce meat consumption could support tailored public health campaigns. TRIAL REGISTRATION NUMBER The study protocol is registered at clinicaltrials.gov with Clinical Trial Registry number NCT03335644 available at https://clinicaltrials.gov/ct2/show/NCT03335644.
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Affiliation(s)
- Anouk Reuzé
- EREN, Université Sorbonne Paris Nord, CRESS, INSERM, INRAE, CNAM, Bobigny, France.
| | - Caroline Méjean
- MOISA, Université de Montpellier, CIRAD, CIHEAM-IAMM, INRAE, IRD, Institut Agro, Montpellier, France
| | - Lucie Sirieix
- MOISA, Université de Montpellier, CIRAD, CIHEAM-IAMM, INRAE, IRD, Institut Agro, Montpellier, France
| | - Julia Baudry
- EREN, Université Sorbonne Paris Nord, CRESS, INSERM, INRAE, CNAM, Bobigny, France
| | | | | | - Joséphine Brunin
- EREN, Université Sorbonne Paris Nord, CRESS, INSERM, INRAE, CNAM, Bobigny, France; Agence de l'Environnement et de la Maîtrise de l'Energie (ADEME), Angers, France
| | - Serge Hercberg
- EREN, Université Sorbonne Paris Nord, CRESS, INSERM, INRAE, CNAM, Bobigny, France
| | - Mathilde Touvier
- EREN, Université Sorbonne Paris Nord, CRESS, INSERM, INRAE, CNAM, Bobigny, France
| | - Sandrine Péneau
- EREN, Université Sorbonne Paris Nord, CRESS, INSERM, INRAE, CNAM, Bobigny, France
| | - Benjamin Allès
- EREN, Université Sorbonne Paris Nord, CRESS, INSERM, INRAE, CNAM, Bobigny, France
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21
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Toujgani H, Brunin J, Perraud E, Allès B, Touvier M, Lairon D, Mariotti F, Pointereau P, Baudry J, Kesse-Guyot E. The nature of protein intake as a discriminating factor of diet sustainability: a multi-criteria approach. Sci Rep 2023; 13:17850. [PMID: 37857699 PMCID: PMC10587119 DOI: 10.1038/s41598-023-44872-3] [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: 04/12/2023] [Accepted: 10/12/2023] [Indexed: 10/21/2023] Open
Abstract
Animal production is responsible for 56-58% of the GHG emissions and limiting meat consumption would strongly contribute to reducing human health risks in Western countries. This study aimed to investigate the nature of protein intake as a discriminating factor for diets' sustainability. Using data from 29,210 French adults involved in the NutriNet-Santé cohort, we identified clusters according to 23 protein sources. A multicriteria (environmental, economic, nutritional and health) sustainability analysis was then conducted on the identified clusters. The economic analysis focused on both food and protein expenditure structures, using a budget coefficient approach. Relative values of clusters compared to the whole sample were calculated. We identified five clusters: milk-based, meat-based, fast food-based, healthy-fish-based, and healthy-plant-based. We found that the healthy-plant-based and healthy-fish-based clusters were the most sustainable, conciliating the compromise between human health (0.25 and 0.53 respectively for the Health Risk Score) and the protection of the environment (- 62% and - 19% respectively for the pReCiPe indicator). Conversely, the highest environmental impacts (+ 33% for the pReCiPe indicator) and the highest health risk (0.95 for the HRS) were observed for the meat-based cluster, which was associated with the lowest nutritional scores (- 61% for the PNNS-GS2 score). The economic analysis showed that the healthy-plant-based cluster was the one with the highest food budget coefficient (+ 46%), followed by the healthy-fish-based cluster (+ 8%), partly explained by a strong share of organic food in the diet. However, the meat-based cluster spent more of their food budget on their protein intake (+ 13%), while the healthy-plant-based cluster exhibited the lowest expenditure for this intake (- 41%). Our results demonstrate that the nature of protein intake is a discriminating factor in diet sustainability. Also, reducing animal protein consumption would generate co-benefits beyond environmental impacts, by being favorable for health, while reducing the monetary cost associated with protein intake.
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Affiliation(s)
- Hafsa Toujgani
- 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, 93017, Bobigny, France.
| | - Joséphine Brunin
- 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, 93017, Bobigny, France
- ADEME, (Agence de l'Environnement et de la Maîtrise de l'Energie), 49004, Angers, France
| | - Elie Perraud
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France
| | - Benjamin Allès
- 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, 93017, Bobigny, France
| | - Mathilde Touvier
- 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, 93017, Bobigny, France
| | - Denis Lairon
- Aix Marseille Université, Inserm, INRAE, C2VN, 13005, Marseille, France
| | - François Mariotti
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, 91120, Palaiseau, France
| | | | - Julia Baudry
- 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, 93017, Bobigny, 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), 74 Rue Marcel Cachin, 93017, Bobigny, France
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22
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Palomar-Cros A, Srour B, Andreeva VA, Fezeu LK, Bellicha A, Kesse-Guyot E, Hercberg S, Romaguera D, Kogevinas M, Touvier M. Associations of meal timing, number of eating occasions and night-time fasting duration with incidence of type 2 diabetes in the NutriNet-Santé cohort. Int J Epidemiol 2023; 52:1486-1497. [PMID: 37328450 DOI: 10.1093/ije/dyad081] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 05/31/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND Food intake plays a pivotal role in regulating circadian rhythms, which modulate glucose and lipid homeostasis. However, studies investigating the association of meal timing and type 2 diabetes (T2D) incidence are lacking. The objective of this study was to investigate the longitudinal associations of meal timing, number of eating occasions and night-time fasting duration with incidence of T2D. METHODS In total, 103 312 adults [79% women, mean age at baseline = 42.7 (SD = 14.6)] from the NutriNet-Santé cohort (2009-21) were included. Participants' meal timings and frequency were assessed using repeated 24-h dietary records and averaged from the first 2 years of follow-up (5.7 records/participant). Associations of meal timing, number of eating occasions and night-time fasting duration with incidence of T2D were assessed by using multivariable Cox proportional hazard models adjusted for known risk factors. RESULTS During a median follow-up of 7.3 years, 963 new cases of T2D were ascertained. Compared with participants habitually having a first meal before 8AM, those eating after 9AM had a higher incidence of T2D (HR = 1.59, 95% CI 1.30-1.94). Time of last meal was not associated with T2D incidence. Each additional eating episode was associated with a lower incidence of T2D (HR = 0.95, 95% CI 0.90-0.99). Night-time fasting duration was not associated with T2D incidence, except in participants having breakfast before 8AM and fasting for >13 h overnight (HR = 0.47, 95% CI 0.27-0.82). CONCLUSIONS In this large prospective study, a later first meal was associated with a higher incidence of T2D. If confirmed in other large-scale studies, an early breakfast should be considered in preventing T2D.
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Affiliation(s)
- Anna Palomar-Cros
- Barcelona Institute for Global Health (ISGlobal), Non-Communicable Diseases Programme, Barcelona, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Bernard Srour
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Valentina A Andreeva
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
| | - Léopold K Fezeu
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
| | - Alice Bellicha
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Emmanuelle Kesse-Guyot
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Serge Hercberg
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
- Public Health Department, Avicenne Hospital, AP-HP, Bobigny, France
| | - Dora Romaguera
- Barcelona Institute for Global Health (ISGlobal), Non-Communicable Diseases Programme, Barcelona, Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, Palma de Mallorca, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Manolis Kogevinas
- Barcelona Institute for Global Health (ISGlobal), Non-Communicable Diseases Programme, Barcelona, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Mathilde Touvier
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
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23
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Demaré N, Julia C, Bellicha A, Benallaoua M, Aït Omar A, Arnault N, Benamouzig R, Deschasaux-Tanguy M. Dietary behaviours of individuals with lynch syndrome at high risk of colorectal cancer: Results from the AAS-lynch study. Clin Nutr ESPEN 2023; 57:197-206. [PMID: 37739656 DOI: 10.1016/j.clnesp.2023.06.017] [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: 02/01/2023] [Revised: 05/30/2023] [Accepted: 06/16/2023] [Indexed: 09/24/2023]
Abstract
BACKGROUND & AIMS Individuals with Lynch syndrome (LS) have a high lifetime risk of developing colorectal cancer (CRC) due to genetic alterations. Nutrition is one of the main modifiable risk factors for sporadic CRC, however this has not been established in LS patients. The present study aimed to give a detailed overview of dietary intakes in individuals with LS, and associated individual characteristics. METHODS Dietary behaviours of individuals with LS from the AAS-Lynch clinical trial (2017-2022) were obtained using a food frequency questionnaire. Dietary intakes, food group consumption and overall diet quality (dietary patterns, adherence to the Mediterranean diet) were described according to sociodemographic, anthropometric and clinical characteristics, and compared to participants without LS from the NutriNet-Santé study (matched on sex, age, BMI and region). RESULTS 280 individuals with LS were included in this analysis and matched with 547 controls. Compared to controls, LS patients consumed less fibre, legumes, fruit and vegetables and more red and processed meat (all p < 0.01). They also had a lower Mediterranean diet score (p = 0.002). Among LS patients, men, younger patients, or those with disadvantaged situation had a diet of poorer nutritional quality with lower adherence to a "Healthy" diet (all p ≤ 0.01). LS Patients with prevalent CRC had a higher consumption of dairy products than recommended, while those with prevalent adenoma consumed more vegetables, and less sugar and sweets (all p ≤ 0.01). CONCLUSIONS Although patients with LS were aware of their high lifetime risk of developing cancer, their diets were not optimal and included nutritional risk factors associated to CRC.
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Affiliation(s)
- Noémie Demaré
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University Paris Cité (CRESS), Bobigny, France; Gastroenterology and Oncology Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France.
| | - Chantal Julia
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University Paris Cité (CRESS), Bobigny, France; Public Health Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France
| | - Alice Bellicha
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University Paris Cité (CRESS), Bobigny, France; Nutrition Physical Activity Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Mourad Benallaoua
- Gastroenterology and Oncology Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France
| | - Amal Aït Omar
- Gastroenterology and Oncology Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France
| | - Nathalie Arnault
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University Paris Cité (CRESS), Bobigny, France
| | - Robert Benamouzig
- Gastroenterology and Oncology Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University Paris Cité (CRESS), Bobigny, France; Nutrition Physical Activity Cancer Research Network (NACRe Network), Jouy-en-Josas, France
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Ziglioli F, Patera A, Isgrò G, Campobasso D, Guarino G, Maestroni U. Impact of modifiable lifestyle risk factors for prostate cancer prevention: a review of the literature. Front Oncol 2023; 13:1203791. [PMID: 37746271 PMCID: PMC10515617 DOI: 10.3389/fonc.2023.1203791] [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: 04/11/2023] [Accepted: 07/06/2023] [Indexed: 09/26/2023] Open
Abstract
Introduction Although prostate cancer (PCa) is one of the most common cancers among men, the impact of modifiable risk and protective factors is still being debated. This review aims to qualitatively summarize the most recent studies related to potential healthy lifestyle factors affecting the development of PCa. Methods for data acquisition The literature focusing on modifiable risk factors for prostate cancer was reviewed. Medline and Embase via the Ovid database were searched, and all relevant and inherent articles were analyzed. Non-eligible publications, such as review articles, editorials, comments, guidelines, or case reports, were excluded. Synthesis of the evidence obtained from data analysis This review confirms that there is strong evidence that being overweight or obese increases the risk of advanced prostate cancer (assessed by body mass index (BMI), waist circumference, and waist-hip ratio), particularly considering central adiposity and ethnicity as contributing factors. The possible contribution of smoking still seems not entirely clear, while alcohol seems to affect PCa prevention in patients taking 5α-reductase inhibitors (5-ARIs). Dietary fibers may have anti-inflammatory properties and improve insulin sensitivity by reducing IGF bioactivity. In particular, dietary fiber intake like insoluble and legume fibers may be inversely associated with prostate cancer risk. Also, hyperglycemia and hyperinsulinemia, with untreated diabetic fasting blood glucose levels, could be modifiable prostate cancer risk factors. In two studies, aspirin was associated with a lower risk of lethal PCa and overall mortality. Concerning the role of vitamins, despite conflicting and divergent results, serum retinol concentration seems to be associated with an increased risk of prostate cancer and high-grade prostate cancer. Some studies resulted in disagreement about the role of selenium and vitamin E. We found inconsistent and controversial findings about the association between vitamin D and prostate cancer risk. Conclusion Far from being conclusive evidence, our findings confirm some strong evidence already found in the previous literature and highlight the need to clarify the role of some risk factors whose role is not yet completely known. This effort would facilitate the cultural and social change that may allow the shift from the treatment of prostate cancer when diagnosed to the real efforts needed for systematic prevention.
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Affiliation(s)
| | - Annalisa Patera
- Department of Urology, University Hospital of Parma, Parma, Italy
| | - Gianmarco Isgrò
- Department of Urology, James Cook University Hospital, Middlesbrough, United Kingdom
| | | | - Giulio Guarino
- Department of Urology, University Hospital of Parma, Parma, Italy
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Sellem L, Srour B, Javaux G, Chazelas E, Chassaing B, Viennois E, Debras C, Salamé C, Druesne-Pecollo N, Esseddik Y, de Edelenyi FS, Agaësse C, De Sa A, Lutchia R, Louveau E, Huybrechts I, Pierre F, Coumoul X, Fezeu LK, Julia C, Kesse-Guyot E, Allès B, Galan P, Hercberg S, Deschasaux-Tanguy M, Touvier M. Food additive emulsifiers and risk of cardiovascular disease in the NutriNet-Santé cohort: prospective cohort study. BMJ 2023; 382:e076058. [PMID: 37673430 PMCID: PMC10480690 DOI: 10.1136/bmj-2023-076058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/16/2023] [Indexed: 09/08/2023]
Abstract
OBJECTIVE To assess the associations between exposure to food additive emulsifiers and risk of cardiovascular disease (CVD). DESIGN Prospective cohort study. SETTING French NutriNet-Santé study, 2009-21. PARTICIPANTS 95 442 adults (>18 years) without prevalent CVD who completed at least three 24 hour dietary records during the first two years of follow-up. MAIN OUTCOME MEASURES Associations between intake of food additive emulsifiers (continuous (mg/day)) and risk of CVD, coronary heart disease, and cerebrovascular disease characterised using multivariable proportional hazard Cox models to compute hazard ratios for each additional standard deviation (SD) of emulsifier intake, along with 95% confidence intervals. RESULTS Mean age was 43.1 (SD 14.5) years, and 79.0% (n=75 390) of participants were women. During follow-up (median 7.4 years), 1995 incident CVD, 1044 coronary heart disease, and 974 cerebrovascular disease events were diagnosed. Higher intake of celluloses (E460-E468) was found to be positively associated with higher risks of CVD (hazard ratio for an increase of 1 standard deviation 1.05, 95% confidence interval 1.02 to 1.09, P=0.003) and coronary heart disease (1.07, 1.02 to 1.12, P=0.004). Specifically, higher cellulose E460 intake was linked to higher risks of CVD (1.05, 1.01 to 1.09, P=0.007) and coronary heart disease (1.07, 1.02 to 1.12, P=0.005), and higher intake of carboxymethylcellulose (E466) was associated with higher risks of CVD (1.03, 1.01 to 1.05, P=0.004) and coronary heart disease (1.04, 1.02 to 1.06, P=0.001). Additionally, higher intakes of monoglycerides and diglycerides of fatty acids (E471 and E472) were associated with higher risks of all outcomes. Among these emulsifiers, lactic ester of monoglycerides and diglycerides of fatty acids (E472b) was associated with higher risks of CVD (1.06, 1.02 to 1.10, P=0.002) and cerebrovascular disease (1.11, 1.06 to 1.16, P<0.001), and citric acid ester of monoglycerides and diglycerides of fatty acids (E472c) was associated with higher risks of CVD (1.04, 1.02 to 1.07, P=0.004) and coronary heart disease (1.06, 1.03 to 1.09, P<0.001). High intake of trisodium phosphate (E339) was associated with an increased risk of coronary heart disease (1.06, 1.00 to 1.12, P=0.03). Sensitivity analyses showed consistent associations. CONCLUSION This study found positive associations between risk of CVD and intake of five individual and two groups of food additive emulsifiers widely used in industrial foods. TRIAL REGISTRATION ClinicalTrials.gov NCT03335644.
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Affiliation(s)
- Laury Sellem
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Bernard Srour
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Guillaume Javaux
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Eloi Chazelas
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Benoit Chassaing
- INSERM U1016, team "Mucosal microbiota in chronic inflammatory diseases," Université Paris Cité, Paris, France
| | - Emilie Viennois
- INSERM U1149, Centre for Research on Inflammation, Université de Paris, Paris, France
| | - Charlotte Debras
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Clara Salamé
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Nathalie Druesne-Pecollo
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Younes Esseddik
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Fabien Szabo de Edelenyi
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Cédric Agaësse
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Alexandre De Sa
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Rebecca Lutchia
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Erwan Louveau
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Inge Huybrechts
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Fabrice Pierre
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France
| | | | - Léopold K Fezeu
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Chantal Julia
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Public Health Department, Groupe Hospitalier Paris-Seine-Saint-Denis, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, 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), Bobigny, France
| | - Benjamin Allès
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Pilar Galan
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Serge Hercberg
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
- Public Health Department, Groupe Hospitalier Paris-Seine-Saint-Denis, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
| | - Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, France
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Debras C, Deschasaux-Tanguy M, Chazelas E, Sellem L, Druesne-Pecollo N, Esseddik Y, Szabo de Edelenyi F, Agaësse C, De Sa A, Lutchia R, Julia C, Kesse-Guyot E, Allès B, Galan P, Hercberg S, Huybrechts I, Cosson E, Tatulashvili S, Srour B, Touvier M. Artificial Sweeteners and Risk of Type 2 Diabetes in the Prospective NutriNet-Santé Cohort. Diabetes Care 2023; 46:1681-1690. [PMID: 37490630 PMCID: PMC10465821 DOI: 10.2337/dc23-0206] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 06/09/2023] [Indexed: 07/27/2023]
Abstract
OBJECTIVE To study the relationships between artificial sweeteners, accounting for all dietary sources (total and by type of artificial sweetener) and risk of type 2 diabetes (T2D), in a large-scale prospective cohort. RESEARCH DESIGN AND METHODS The analyses included 105,588 participants from the web-based NutriNet-Santé study (France, 2009-2022; mean age 42.5 ± 14.6 years, 79.2% women). Repeated 24-h dietary records, including brands and commercial names of industrial products, merged with qualitative and quantitative food additive composition data, enabled artificial sweetener intakes to be accurately assessed from all dietary sources. Associations between artificial sweeteners (total, aspartame, acesulfame potassium [K], and sucralose) and T2D were investigated using Cox proportional hazard models adjusted for potential confounders, including weight variation during follow-up. RESULTS During a median follow-up of 9.1 years (946,650 person-years, 972 incident T2D), compared with nonconsumers, higher consumers of artificial sweeteners (i.e., above the sex-specific medians of 16.4 mg/day in men and 18.5 mg/day in women) had higher risks of developing T2D (hazard ratio [HR] 1.69; 95% CI 1.45-1.97; P-trend <0.001). Positive associations were also observed for individual artificial sweeteners: aspartame (HR 1.63 [95% CI 1.38-1.93], P-trend <0.001), acesulfame-K (HR 1.70 [1.42-2.04], P-trend <0.001), and sucralose (HR 1.34 [1.07-1.69], P-trend = 0.013). CONCLUSIONS Potential for reverse causality cannot be eliminated; however, many sensitivity analyses were computed to limit this and other potential biases. These findings of positive associations between artificial sweetener intakes and increased T2D risk strengthen the evidence that these additives may not be safe sugar alternatives. This study provides important insights in the context of on-going reevaluation of artificial sweeteners by health authorities worldwide.
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Affiliation(s)
- Charlotte Debras
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
| | - Eloi Chazelas
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
| | - Laury Sellem
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
| | - Nathalie Druesne-Pecollo
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
| | - Younes Esseddik
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
| | - Fabien Szabo de Edelenyi
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
| | - Cédric Agaësse
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
| | - Alexandre De Sa
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
| | - Rebecca Lutchia
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
| | - Chantal Julia
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
- Public Health Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris, Bobigny, France
| | - Emmanuelle Kesse-Guyot
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
| | - Benjamin Allès
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
| | - Pilar Galan
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
| | - Serge Hercberg
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
- Public Health Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris, Bobigny, France
| | - Inge Huybrechts
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Emmanuel Cosson
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
- Diabetology, Endocrinology and Nutrition Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris, Bobigny, France
| | - Sopio Tatulashvili
- Diabetology, Endocrinology and Nutrition Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris, Bobigny, France
| | - Bernard Srour
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
| | - Mathilde Touvier
- Nutritional Epidemiology Research Team (EREN), INSERM U1153, INRAE U1125, CNAM, Sorbonne Paris Nord University, Epidemiology and Statistics Research Centre, University of Paris Cité (CRESS), Bobigny, France
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Branche O, Buscail C, Péneau S, Baudry J, Poitou C, Oppert JM, Czernichow S, Kesse-Guyot E, Touvier M, Julia C, Bellicha A. Correlates of Weight Bias in Adults From the NutriNet-Santé Study. Am J Prev Med 2023; 65:201-212. [PMID: 37479421 DOI: 10.1016/j.amepre.2023.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 02/03/2023] [Accepted: 02/04/2023] [Indexed: 07/23/2023]
Abstract
INTRODUCTION Explicit weight bias is an underlying cause of weight stigma, but its associations with individual characteristics are not well known. This study aimed to assess explicit weight bias in French adults and to explore the associations with weight status and sociodemographic characteristics. METHODS Adults from the NutriNet-Santé cross-sectional study (France, 2020, n=33,948, 52% women after weighting procedures) completed the Anti-Fat Attitudes Questionnaire assessing three dimensions: Dislike (antipathy toward people with obesity), Fear of fat (concerns about body weight), and Willpower (belief in weight controllability). Associations with weight status and sociodemographic characteristics were examined using multivariable ANCOVA models in 2022. RESULTS Fear of fat and Willpower scores were higher than Dislike scores (mean [SD]=4.0 [2.0], 3.3 [1.7] and 1.9 [1.3], respectively). Fear of fat was higher among women, whereas Dislike and Willpower were higher among men (all p<0.0001). Obesity was associated with greater Fear of fat scores (p<0.0001, mean difference versus normal-weight participants [95% CI]=0.35 [0.24, 0.46] in women, 0.36 [0.17, 0.56] in men), lower Dislike scores (-0.38 [-0.45, -0.32] in women, -0.43 [-0.56, -0.30] in men), and lower Willpower scores (-1.00 [-0.18, -0.90] in women, -0.40 [-0.57, -0.23] in men). In both genders, lower income was associated with lower Dislike, Fear of fat, and Willpower scores (all p<0.0001), and lower education was associated with greater Fear of fat and Willpower scores (all p<0.0001). CONCLUSIONS Explicit weight bias was driven by the fear of gaining weight and the belief in weight controllability. This study provides new insights into which population subgroups should be targeted by interventions aimed at reducing explicit weight bias.
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Affiliation(s)
- Olivia Branche
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), CNAM, INRAE U1125, Institut National de la Santé et de la Recherche Médicale (INSERM) U1153, Sorbonne Paris Nord University, Bobigny, France
| | - Camille Buscail
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), CNAM, INRAE U1125, Institut National de la Santé et de la Recherche Médicale (INSERM) U1153, Sorbonne Paris Nord University, Bobigny, France; Public Health Department, GHU Paris Seine-Saint-Denis, Assistance Publique-Hôpitaux de Paris (APHP), Bobigny, France
| | - Sandrine Péneau
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), CNAM, INRAE U1125, Institut National de la Santé et de la Recherche Médicale (INSERM) U1153, Sorbonne Paris Nord University, Bobigny, France
| | - Julia Baudry
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), CNAM, INRAE U1125, Institut National de la Santé et de la Recherche Médicale (INSERM) U1153, Sorbonne Paris Nord University, Bobigny, France
| | - Christine Poitou
- Department of Nutrition, Pitié-Salpetrière Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Sorbonne University, CRNH-Ile de France, Paris, France; Institut National de la Santé et de la Recherche Médicale (INSERM), Nutrition and Obesities: Systemic Approaches (NutriOmics) Team, Sorbonne University, Paris, France
| | - Jean-Michel Oppert
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), CNAM, INRAE U1125, Institut National de la Santé et de la Recherche Médicale (INSERM) U1153, Sorbonne Paris Nord University, Bobigny, France; Department of Nutrition, Pitié-Salpetrière Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Sorbonne University, CRNH-Ile de France, Paris, France
| | - Sébastien Czernichow
- Department of Nutrition, Hôpital Européen Georges Pompidou, Assistance Publique-Hôpitaux de Paris (APHP), Université Paris Cité, Paris, France
| | - Emmanuelle Kesse-Guyot
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), CNAM, INRAE U1125, Institut National de la Santé et de la Recherche Médicale (INSERM) U1153, Sorbonne Paris Nord University, Bobigny, France
| | - Mathilde Touvier
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), CNAM, INRAE U1125, Institut National de la Santé et de la Recherche Médicale (INSERM) U1153, Sorbonne Paris Nord University, Bobigny, France
| | - Chantal Julia
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), CNAM, INRAE U1125, Institut National de la Santé et de la Recherche Médicale (INSERM) U1153, Sorbonne Paris Nord University, Bobigny, France; Public Health Department, GHU Paris Seine-Saint-Denis, Assistance Publique-Hôpitaux de Paris (APHP), Bobigny, France
| | - Alice Bellicha
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), CNAM, INRAE U1125, Institut National de la Santé et de la Recherche Médicale (INSERM) U1153, Sorbonne Paris Nord University, Bobigny, France.
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van Sloten TT, Climie RED, Deraz O, Périer MC, Valentin E, Fayosse A, Sabia S, Weiderpass E, Jouven X, Goldberg M, Zins M, Touvier M, Deschasaux-Tanguy M, Fezeu L, Hercberg S, Singh-Manoux A, Empana JP. Is the number of ideal cardiovascular health metrics in midlife associated with lower risk of cancer? Evidence from 3 European prospective cohorts. CMAJ Open 2023; 11:E774-E781. [PMID: 37607746 PMCID: PMC10449017 DOI: 10.9778/cmajo.20220175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Primordial prevention may be a relevant strategy for the prevention of cancer. Given the commonality of risk factors and mechanisms between cancer and cardiovascular disease, we examined the associations between the number of ideal cardiovascular health metrics in midlife and incident cancer. METHODS In 3 European cohorts (NutriNet-Santé and GAZEL, France; Whitehall II, United Kingdom), the number of ideal cardiovascular health metrics was determined at baseline (range 0-7). Follow-up for cancer events was until October 2020 (NutriNet-Santé), March 2017 (Whitehall II) and December 2015 (GAZEL). Cox regression was conducted in each cohort, and results were thereafter pooled using a random-effects model. RESULTS Data were available on 39 718 participants. A total of 16 237 were from NutriNet-Santé (mean age 51.3 yr; 28% men), 9418 were from Whitehall II (mean age 44.8 yr; 68% men) and 14 063 were from GAZEL (mean age 45.2 yr; 75% men). The median follow-up was 8.1 years in NutriNet-Santé, 29.6 years in Whitehall II and 24.8 years in GAZEL, and yielded a total of 4889 cancer events. A greater number of ideal cardiovascular health metrics was associated with a lower overall cancer risk in each cohort, with an aggregate hazard ratio (HR) per 1 increment in number of ideal metrics of 0.91 (95% confidence interval [CI] 0.88-0.93). This association remained after removal of the smoking metric (aggregate HR per unit increment in number of ideal metrics: 0.94, 95% CI 0.90-0.97), and site-specific analysis demonstrated a significant association with lung cancer. INTERPRETATION A greater number of ideal cardiovascular health metrics in midlife was associated with lower cancer risk, notably lung cancer. Primordial prevention of cardiovascular risk factors in midlife may be a complementary strategy to prevent the onset of cancer.
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Affiliation(s)
- Thomas T van Sloten
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Rachel E D Climie
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Omar Deraz
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Marie-Cécile Périer
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Eugenie Valentin
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Aurore Fayosse
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Séverine Sabia
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Elisabete Weiderpass
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Xavier Jouven
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Marcel Goldberg
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Marie Zins
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Mathilde Touvier
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Léopold Fezeu
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Serge Hercberg
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Archana Singh-Manoux
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Jean-Philippe Empana
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
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Srour B, Hercberg S, Galan P, Monteiro CA, Szabo de Edelenyi F, Bourhis L, Fialon M, Sarda B, Druesne-Pecollo N, Esseddik Y, Deschasaux-Tanguy M, Julia C, Touvier M. Effect of a new graphically modified Nutri-Score on the objective understanding of foods' nutrient profile and ultraprocessing: a randomised controlled trial. BMJ Nutr Prev Health 2023; 6:108-118. [PMID: 37484539 PMCID: PMC10359533 DOI: 10.1136/bmjnph-2022-000599] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 05/18/2023] [Indexed: 07/25/2023] Open
Abstract
Introduction When considering health-related impacts of foods, nutrient profile and (ultra)processing are two complementary dimensions. The Nutri-Score informs on the nutrient profile dimension. Recently, mounting evidence linked ultraprocessed food consumption to various adverse health outcomes, independently of their nutrient profile. To inform consumers about each of these health-related dimensions of food, we tested, in a randomised controlled trial, if a graphically modified version 'Nutri-Score V.2.0', including a black 'ultraprocessed' banner, would improve the capacity of consumers to rank products according to their nutrient profile and to detect those ultra-processed, compared with a no-label situation. Methods 21 159 participants included in the NutriNet-Santé web-cohort were randomly assigned to a control arm (no front-of-pack label) or an experimental arm (Nutri-Score 2.0) and were presented an online questionnaire with three sets of food products (cookies, breakfast cereals and ready-to-eat meals) to rank according to nutrient profile and to identify ultraprocessed foods. The primary outcome was objective understanding of nutrient profile and ultraprocessing, represented by a score of correct answers. Secondary outcomes were purchasing intentions and the healthiest-perceived product. Multinomial logistic regressions were performed. Results The Nutri-Score V.2.0 increased the objective understanding of both the nutrient profile dimension (OR highest vs lowest score category=29.0 (23.4-35.9), p<0.001) and the ultraprocessing dimension (OR=174.3 (151.4-200.5), p<0.001). Trends were similar for cookies, breakfast cereals and ready-to-eat meals. The Nutri-Score V.2.0 had a positive effect on purchasing intentions and on the products perceived as the healthiest. Conclusion This randomised controlled trial demonstrates the interest of a front-of-pack label combining the Nutri-Score (informing on the nutrient profile dimension) with an additional graphic mention, indicating when the food is ultraprocessed, compared with a no-label situation. Our results show that a combined label enabled participants to independently understand these two complementary dimensions of foods. Trial registration number NCT05610930.
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Affiliation(s)
- Bernard Srour
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
| | - Serge Hercberg
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
- Département de Santé Publique, Hôpital Avicenne, F-93017, Bobigny Cedex, France, Bobigny, France
| | - Pilar Galan
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
| | - Carlos Augusto Monteiro
- Department of Nutrition, School of Public Health, University of Sao Paulo, São Paulo, Brazil
| | - Fabien Szabo de Edelenyi
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
| | - Laurent Bourhis
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
| | - Morgane Fialon
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
| | - Barthélémy Sarda
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
| | - Nathalie Druesne-Pecollo
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
| | - Younes Esseddik
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
| | - Chantal Julia
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
- Département de Santé Publique, Hôpital Avicenne, F-93017, Bobigny Cedex, France, Bobigny, France
| | - Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
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Isaksen IM, Dankel SN. Ultra-processed food consumption and cancer risk: A systematic review and meta-analysis. Clin Nutr 2023; 42:919-928. [PMID: 37087831 DOI: 10.1016/j.clnu.2023.03.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 03/06/2023] [Accepted: 03/26/2023] [Indexed: 04/03/2023]
Abstract
BACKGROUND Ultra-processed foods (UPF) have become a staple of the diet in many countries, concomitant with increases in non-communicable diseases including cancer. AIM The aim of this systematic literature review was to evaluate associations between the consumption of UPF and cancer risk. METHODS A systematic literature search for observational studies investigating the association between cancer risk and UPF consumption, determined by the NOVA classification system, was performed. Random-effects meta-analyses were conducted. Independent review and risk of bias assessment was performed independently by the authors using the National Institutes of Health's Study Quality Assessment Tools. RESULTS Eleven reports were identified, including eight retrospective case-control studies and three prospective cohorts. The outcome was risk of total cancer and/or one or more of the following cancers: colorectal, breast, prostate, pancreatic, chronic lymphocytic leukemia and central nervous system tumors. Nine studies reported a significant positive association between UPF intake and all the assessed cancers except prostate, after adjustment for confounding factors including obesity and total energy intake. A 10% increment in the diet's proportion of UPF was associated with increased risk of overall cancer (HR = 1.13, 95% CI 1.07 to 1.18) and breast cancer (HR = 1.11, 95% CI 1.01 to 1.21). In addition, a high intake of UPF was associated with increased risk of colorectal cancer (ORT3 vs. T1 = 1.30, 95% CI 1.11 to 1.51) and pancreatic cancer (HRQ4 vs. Q1 = 1.49, 95% CI 1.07 to 2.07). More modest associations were found for chronic lymphocytic leukemia and central nervous system tumors. Common limitations of several of the studies included no prior assessment of diet before known diagnosis (the case-control studies), higher participation rates among cases, and likely misclassification of several foods as UPF or non-UPF. CONCLUSION In conclusion, the available suggestive evidence shows a consistent significant association between intake of UPF and the risk of overall and several cancers, including colorectal-, breast- and pancreatic cancer. These data may inform updated dietary guidelines, policy makers and the public towards improving public health.
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Affiliation(s)
- Irja Minde Isaksen
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, N-5020 Bergen, Norway
| | - Simon Nitter Dankel
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, N-5020 Bergen, Norway; Hormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, N-5021 Bergen, Norway.
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31
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Savouré M, Eminson K, Sese L, Dumas O, Cai YS. The exposome in respiratory diseases: multiple preventable risk factors from early life to adulthood. Breathe (Sheff) 2023; 19:230034. [PMID: 37377849 PMCID: PMC10292782 DOI: 10.1183/20734735.0034-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 03/14/2023] [Indexed: 06/29/2023] Open
Abstract
The increasing global burden of respiratory diseases over the last decades raises questions about the impact of environmental factors during industrialisation and urbanisation. Although the knowledge of environmental epidemiology is growing, it is still unclear what the most critical exposure windows are for respiratory health. In addition, the relationships between different environmental exposures can be complex. The exposome approach investigating all non-genetic factors on health has been developed in recent years but has been little applied in respiratory health to date. This journal club article reviews three recent publications investigating the effects of environmental exposures, considered separately or in an exposome approach with different exposure windows, on respiratory health outcomes. These three studies highlight targets for action in primary and secondary prevention. Two studies, using data from the INMA and RHINESSA cohorts, support the regulation and reduction of phthalates and air pollution, respectively. Moreover, the exposome approach conducted in the NutriNet-Santé cohort emphasises that risk reduction must involve a multi-interventional approach targeting both specific early-life risk factors and promotion of a healthy lifestyle in adulthood. These three articles also present research perspectives in environmental epidemiology.
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Affiliation(s)
- Marine Savouré
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Equipe d'Epidémiologie Respiratoire Intégrative, CESP, Villejuif, France
- French Environment and Energy Management Agency 20, Angers, France
- Co-first authors
| | - Katie Eminson
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK
- Co-first authors
| | - Lucile Sese
- AP-HP, Service de Physiologie, Hôpital Avicenne – Université Sorbonne Paris Nord, INSERM 1272, “Hypoxie et poumon: pneumopathies fibrosantes, modulations ventilatoires et circulatoires”, Bobigny, France
| | - Orianne Dumas
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Equipe d'Epidémiologie Respiratoire Intégrative, CESP, Villejuif, France
| | - Yutong Samuel Cai
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK
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Baudry J, Allès B, Langevin B, Reuzé A, Brunin J, Touvier M, Hercberg S, Lairon D, Péneau S, Pointereau P, Kesse-Guyot E. Associations between measures of socio-economic position and sustainable dietary patterns in the NutriNet-Santé study. Public Health Nutr 2023; 26:965-975. [PMID: 36213945 PMCID: PMC10346073 DOI: 10.1017/s1368980022002208] [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: 05/05/2022] [Revised: 09/04/2022] [Accepted: 09/27/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE We aimed to explore the relationship between socio-economic characteristics and sustainable dietary patterns. DESIGN Dietary data were derived from a web-based FFQ. Diet sustainability was evaluated using a modified Sustainable Diet Index, comprising nutritional, environmental and cultural components (higher scores expressing higher sustainability). The socio-economic position markers were education, household income and occupation status. Multi-adjusted linear and Poisson regression models were used to assess the cross-sectional association of the markers of socio-economic status with a sustainable diet and sustainability subcomponents, respectively. SETTING France. PARTICIPANTS 29 119 NutriNet-Santé participants. RESULTS Individuals with a more sustainable diet had slightly higher diet monetary cost, lower total energy intake and consumed less animal-based foods than their counterparts. Lower education level was associated with lower overall diet sustainability (βprimary v. postgraduate = -0·62, 95 % CI (-0·72, -0·51)) and nutrition, socio-cultural and environmental subscores. Manual workers and employees had a lower modified Sustainable Diet Index than intermediate professionals (βmanual workers v. intermediate professionals = -0·43, 95 % CI (-0·52, -0·33) and βemployees v. intermediate professionals = -0·56, 95 % CI (-0·64, -0·48)). Participants with the lowest v. highest incomes had a higher environmental subscore but a lower socio-cultural subscore, whereas the results were less marked for occupational status. CONCLUSIONS Overall, our results documented associations between socio-economic status and the level of diet sustainability, arguing for the implementation of appropriate food policies to promote sustainable diets at lower cost.
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Affiliation(s)
- Julia Baudry
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, Université Paris Cité (CRESS), UFR SMBH 74, Rue Marcel Cachin, Bobigny93017, France
| | - Benjamin Allès
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, Université Paris Cité (CRESS), UFR SMBH 74, Rue Marcel Cachin, Bobigny93017, France
| | | | - Anouk Reuzé
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, Université Paris Cité (CRESS), UFR SMBH 74, Rue Marcel Cachin, Bobigny93017, France
| | - Joséphine Brunin
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, Université Paris Cité (CRESS), UFR SMBH 74, Rue Marcel Cachin, Bobigny93017, France
- ADEME (Agence de l’Environnement et de la Maîtrise de l’Energie), Angers, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, Université Paris Cité (CRESS), UFR SMBH 74, Rue Marcel Cachin, Bobigny93017, France
| | - Serge Hercberg
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, Université Paris Cité (CRESS), UFR SMBH 74, Rue Marcel Cachin, Bobigny93017, France
- Public Health Department, Avicenne Hospital, AP-HP, Bobigny, France
| | - Denis Lairon
- Aix Marseille University, Inserm, INRAE, C2VN, Marseille, France
| | - Sandrine Péneau
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, Université Paris Cité (CRESS), UFR SMBH 74, Rue Marcel Cachin, Bobigny93017, France
| | | | - Emmanuelle Kesse-Guyot
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, Université Paris Cité (CRESS), UFR SMBH 74, Rue Marcel Cachin, Bobigny93017, France
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33
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Berthy F, Brunin J, Allès B, Reuzé A, Touvier M, Hercberg S, Lairon D, Pointereau P, Mariotti F, Baudry J, Kesse-Guyot E. Higher adherence to the EAT-Lancet reference diet is associated with higher nutrient adequacy in the NutriNet-Santé cohort : a cross-sectional study. Am J Clin Nutr 2023:S0002-9165(23)46319-8. [PMID: 37019361 DOI: 10.1016/j.ajcnut.2023.03.029] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 03/24/2023] [Accepted: 03/31/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND In 2019, the EAT-Lancet Commission proposed a planetary and healthy reference diet; however, its nutritional quality has been rarely evaluated. OBJECTIVE Across different adherence levels to the EAT-Lancet reference diet, the following were our objectives:1) describe the food and nutritional intakes of the French population, 2) to evaluate the nutrient quality and, 3) investigate the consistency between the French national recommendations and the EAT-Lancet reference diet. DESIGN This cross-sectional study was conducted among participants of the NutriNet-Santé cohort and the sample was weighted on the characteristics of the general French population. Adherence to the EAT-Lancet reference diet was estimated using the EAT-Lancet Diet Index (ELD-I). Usual nutrient intakes were obtained using the variance reduction method. We used the estimated average requirements cut-point method to estimate the proportion of participants who meet their respective nutritional requirements. Furthermore, the adequacy of the French food-based dietary recommendations (Programme National Nutrition Santé [PNNS]) according to adherence to the EAT-Lancet reference diet was studied. RESULTS The weighted sample was composed of 98,465 participants. Except for bioavailable zinc and vitamin B12, we observed a decrease in the nutrient inadequacy prevalence when the adherence to the EAT-Lancet reference diet increased, particularly for vitamin B9 (Q1=37.8% vs. Q5=5.5%, p=<0.0001) and vitamin C (Q1=59.0% vs. Q5=10.8 %, p=<0.0001). However, inadequacy prevalence remained high in all ELD-I quintiles, particularly for fiber (95.9%), vitamin B1 (70.8%), iodine (48.4%), and magnesium (76.8%). Higher ELD-I score was associated with higher adherence for most components of the PNNS, except for food groups that are not specifically included in the EAT-Lancet reference diet and are typical of the French diet, including alcohol, processed meat, and salt. CONCLUSION In the French context, although issues with the intake of certain nutrients may occur, a diet that remains within the planetary limits as the EAT-Lancet reference diet allows a favorable nutritional quality. TRIAL REGISTRATION NUMBER NCT03335644.
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Deraz O, Van Sloten T, Climie R, Debras C, Fezeu LK, Deschasaux-Tanguy M, Jouven X, Kesse-Guyot E, Galan P, Hercberg S, Touvier M, Empana JP. Person-centered and measured life's simple 7 cardiovascular health concordance and association with incident cardiovascular disease. Sci Rep 2023; 13:5247. [PMID: 37002422 PMCID: PMC10066211 DOI: 10.1038/s41598-023-32219-x] [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: 09/26/2022] [Accepted: 03/24/2023] [Indexed: 04/03/2023] Open
Abstract
Person-centered cardiovascular health (CVH) may facilitate cardiovascular disease primordial prevention in low resources settings. The study aims to assess the validity of person-centered CVH compared to gold standard measured CVH by examining the concordance between person-centered vs. measured CVH together with their respective association with incident cardiovascular disease events (CVD). Life's Simple 7 (LS7) CVH metrics, including non-smoking, Body Mass Index, diet, physical activity, blood glycemia, blood pressure, and blood cholesterol were collected from 19,473 adults participating in the e-cohort NutriNet-Santé study from 2011 to 2014 and were followed until September 2020. Clinical examinations and blood analyses defined the measured biological metrics, while diagnoses, medication, or treatment for type 2 diabetes, hypertension, and hypercholesterolemia defined person-centered biological metrics. Declared behavioral metrics were common for both measured and person-centered CVH. The study included 18,714 CVD-free participants (mean age 51 years, 73% women), among whom 16.52% and 38.75% had 5-7 ideal LS7 metrics according to measured and person-centered CVH, respectively. Weighted concordance of person-centered and measured CVH was 0.87 [0.86; 0.88]. Over median follow-up of 8.05 years, 749 CVD events occurred. There was a 7% (HR 0.93 [0.88; 0.99]) and 13% (HR 0.87 [0.83; 0.92]) risk reduction of CVD risk by additional measured and person-centered ideal metrics, respectively. In conclusion, person-centered CVH may represent a reliable alternative to measured CVH.
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Affiliation(s)
- Omar Deraz
- Université Paris Cité, UMR-S970, Paris Cardiovascular Research Center, INSERM, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
| | - Thomas Van Sloten
- Université Paris Cité, UMR-S970, Paris Cardiovascular Research Center, INSERM, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Rachel Climie
- Université Paris Cité, UMR-S970, Paris Cardiovascular Research Center, INSERM, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
- Menzies Institute for Medical Research, University of Tasmania, Hobert, Australia
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Charlotte Debras
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Léopold K Fezeu
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Xavier Jouven
- Université Paris Cité, UMR-S970, Paris Cardiovascular Research Center, INSERM, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
| | - Emmanuelle Kesse-Guyot
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Pilar Galan
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Serge Hercberg
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Mathilde Touvier
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Jean-Philippe Empana
- Université Paris Cité, UMR-S970, Paris Cardiovascular Research Center, INSERM, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France.
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Mervant L, Tremblay-Franco M, Olier M, Jamin E, Martin JF, Trouilh L, Buisson C, Naud N, Maslo C, Héliès-Toussaint C, Fouché E, Kesse-Guyot E, Hercberg S, Galan P, Deschasaux-Tanguy M, Touvier M, Pierre F, Debrauwer L, Guéraud F. Urinary Metabolome Analysis Reveals Potential Microbiota Alteration and Electrophilic Burden Induced by High Red Meat Diet: Results from the French NutriNet-Santé Cohort and an In Vivo Intervention Study in Rats. Mol Nutr Food Res 2023; 67:e2200432. [PMID: 36647294 DOI: 10.1002/mnfr.202200432] [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: 07/01/2022] [Revised: 11/22/2022] [Indexed: 01/18/2023]
Abstract
SCOPE High red and processed meat consumption is associated with several adverse outcomes such as colorectal cancer and overall global mortality. However, the underlying mechanisms remain debated and need to be elucidated. METHODS AND RESULTS Urinary untargeted Liquid Chromatography-Mass Spectrometry (LC-MS) metabolomics data from 240 subjects from the French cohort NutriNet-Santé are analyzed. Individuals are matched and divided into three groups according to their consumption of red and processed meat: high red and processed meat consumers, non-red and processed meat consumers, and at random group. Results are supported by a preclinical experiment where rats are fed either a high red meat or a control diet. Microbiota derived metabolites, in particular indoxyl sulfate and cinnamoylglycine, are found impacted by the high red meat diet in both studies, suggesting a modification of microbiota by the high red/processed meat diet. Rat microbiota sequencing analysis strengthens this observation. Although not evidenced in the human study, rat mercapturic acid profile concomitantly reveals an increased lipid peroxidation induced by high red meat diet. CONCLUSION Novel microbiota metabolites are identified as red meat consumption potential biomarkers, suggesting a deleterious effect, which could partly explain the adverse effects associated with high red and processed meat consumption.
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Affiliation(s)
- Loïc Mervant
- Toxalim, Toulouse University, INRAE, ENVT, INP-Purpan, UPS, Toulouse, 31027, France.,MetaboHUB-MetaToul, National Infrastructure of Metabolomics and Fluxomics, Toulouse, 31077, France.,French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, 78352, France
| | - Marie Tremblay-Franco
- Toxalim, Toulouse University, INRAE, ENVT, INP-Purpan, UPS, Toulouse, 31027, France.,MetaboHUB-MetaToul, National Infrastructure of Metabolomics and Fluxomics, Toulouse, 31077, France
| | - Maïwenn Olier
- Toxalim, Toulouse University, INRAE, ENVT, INP-Purpan, UPS, Toulouse, 31027, France
| | - Emilien Jamin
- Toxalim, Toulouse University, INRAE, ENVT, INP-Purpan, UPS, Toulouse, 31027, France.,MetaboHUB-MetaToul, National Infrastructure of Metabolomics and Fluxomics, Toulouse, 31077, France
| | - Jean-Francois Martin
- Toxalim, Toulouse University, INRAE, ENVT, INP-Purpan, UPS, Toulouse, 31027, France.,MetaboHUB-MetaToul, National Infrastructure of Metabolomics and Fluxomics, Toulouse, 31077, France
| | - Lidwine Trouilh
- Plateforme Genome et Transcriptome (GeT-Biopuces), Toulouse Biotechnology Institute (TBI), Université ide Toulouse, CNRS, INRAE, INSA, 135 avenue de Rangueil, Toulouse, F-31077, France
| | - Charline Buisson
- Toxalim, Toulouse University, INRAE, ENVT, INP-Purpan, UPS, Toulouse, 31027, France.,French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, 78352, France
| | - Nathalie Naud
- Toxalim, Toulouse University, INRAE, ENVT, INP-Purpan, UPS, Toulouse, 31027, France.,French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, 78352, France
| | - Claire Maslo
- Toxalim, Toulouse University, INRAE, ENVT, INP-Purpan, UPS, Toulouse, 31027, France
| | - Cécile Héliès-Toussaint
- Toxalim, Toulouse University, INRAE, ENVT, INP-Purpan, UPS, Toulouse, 31027, France.,French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, 78352, France
| | - Edwin Fouché
- Toxalim, Toulouse University, INRAE, ENVT, INP-Purpan, UPS, Toulouse, 31027, France.,French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, 78352, France
| | - Emmanuelle Kesse-Guyot
- French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, 78352, France.,Sorbonne Paris Nord University, INSERM U1153, INRAe U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74 rue Marcel Cachin, Bobigny, 93017, France
| | - Serge Hercberg
- French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, 78352, France.,Sorbonne Paris Nord University, INSERM U1153, INRAe U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74 rue Marcel Cachin, Bobigny, 93017, France
| | - Pilar Galan
- Sorbonne Paris Nord University, INSERM U1153, INRAe U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74 rue Marcel Cachin, Bobigny, 93017, France
| | - Mélanie Deschasaux-Tanguy
- French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, 78352, France.,Sorbonne Paris Nord University, INSERM U1153, INRAe U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74 rue Marcel Cachin, Bobigny, 93017, France
| | - Mathilde Touvier
- French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, 78352, France.,Sorbonne Paris Nord University, INSERM U1153, INRAe U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), 74 rue Marcel Cachin, Bobigny, 93017, France
| | - Fabrice Pierre
- Toxalim, Toulouse University, INRAE, ENVT, INP-Purpan, UPS, Toulouse, 31027, France.,French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, 78352, France
| | - Laurent Debrauwer
- Toxalim, Toulouse University, INRAE, ENVT, INP-Purpan, UPS, Toulouse, 31027, France.,MetaboHUB-MetaToul, National Infrastructure of Metabolomics and Fluxomics, Toulouse, 31077, France
| | - Francoise Guéraud
- Toxalim, Toulouse University, INRAE, ENVT, INP-Purpan, UPS, Toulouse, 31027, France.,French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, 78352, France
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Wendeu-Foyet G, Bellicha A, Chajès V, Huybrechts I, Bard JM, Debras C, Srour B, Sellem L, Fezeu LK, Julia C, Kesse-Guyot E, Agaësse C, Druesne-Pecollo N, Galan P, Hercberg S, Deschasaux-Tanguy M, Touvier M. Different Types of Industry-Produced and Ruminant Trans Fatty Acid Intake and Risk of Type 2 Diabetes: Findings From the NutriNet-Santé Prospective Cohort. Diabetes Care 2023; 46:321-330. [PMID: 36542554 DOI: 10.2337/dc22-0900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 11/07/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE The deleterious effects of trans fatty acids (TFAs) on cardiovascular health are well established; however, their impact on type 2 diabetes remains poorly understood. In particular, little is known about the impact of specific TFA types on type 2 diabetes etiology. We aimed to explore the associations between different types of TFAs (total, ruminant, industry produced [iTFAs], and corresponding specific isomers) and risk of type 2 diabetes. RESEARCH DESIGN AND METHODS A total of 105,551 participants age >18 years from the French NutriNet-Santé cohort (2009-2021) were included (mean baseline age 42.7 years; SD 14.6 years); 79.2% were women. Dietary intake data, including usual TFA intake, were collected using repeated 24-h dietary records (n = 5.7; SD 3.1). Associations between sex-specific quartile of dietary TFAs and diabetes risk were assessed using multivariable Cox models. RESULTS Total TFA intake was associated with higher type 2 diabetes risk (hazard ratio [HR]quartile 4 vs. 1 1.38; 95% CI 1.11-1.73; Ptrend < 0.001; n = 969 incident cases). This association, specifically observed for iTFAs (HR 1.45; 95% CI 1.15-1.83; Ptrend < 0.001), was mainly driven by elaidic acid (HR 1.37; 95% CI 1.09-1.72; Ptrend < 0.001) and linolelaidic acid (HR 1.29; 95% CI 1.04-1.58; Ptrend = 0.07). In contrast, ruminant TFAs were not significantly associated with risk of type 2 diabetes. CONCLUSIONS In this large prospective cohort, higher intakes of total and iTFAs were associated with increased type 2 diabetes risk. These findings support the World Health Organization's recommendation to eliminate iTFAs from the food supply worldwide. Consumers should be advised to limit the consumption of food products containing partially hydrogenated oils (main vector of iTFAs). This may contribute to lowering the substantial global burden of type 2 diabetes.
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Affiliation(s)
- Gaëlle Wendeu-Foyet
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Alice Bellicha
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Véronique Chajès
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
- International Agency for Research on Cancer, Lyon, France
| | - Inge Huybrechts
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
- International Agency for Research on Cancer, Lyon, France
| | - Jean-Marie Bard
- EA 2160-IUML FR3473 CNRS, Laboratory of General and Applied Biochemistry, Nantes University, Nantes, France
- Cancer Institute, Saint-Herblain, France
| | - Charlotte Debras
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Bernard Srour
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Laury Sellem
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Léopold K Fezeu
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
| | - Chantal Julia
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Public Health Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris, Bobigny, France
| | - Emmanuelle Kesse-Guyot
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Cédric Agaësse
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
| | - Nathalie Druesne-Pecollo
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Pilar Galan
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Serge Hercberg
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
- Public Health Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris, Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Mathilde Touvier
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
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Respective contribution of ultra-processing and nutritional quality of foods to the overall diet quality: results from the NutriNet-Santé study. Eur J Nutr 2023; 62:157-164. [PMID: 35925444 DOI: 10.1007/s00394-022-02970-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 07/18/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Both the nutritional quality of the foods consumed (as nutrient composition) and their ultra-processed nature have been linked to health risks. However, the respective contribution of each of these correlated dimensions or their synergy to the overall diet quality has been rarely explored. OBJECTIVE To identify the respective effects of the nutritional quality of the foods consumed, the ultra-processed nature of foods and their cross-effect contributing to the overall quality of the diet. DESIGN Cross-sectional observational study. SETTING Web-based French NutriNet-Santé cohort study. PARTICIPANTS Participants in the NutriNet-Santé cohort study with at least three available 24 h records as baseline dietary data (N = 98 454 participants). MAIN OUTCOME MEASURES The overall quality of the diet (qualified using the adherence to the 2017 French national nutrition and health dietary recommendations dietary score PNNS-GS2) was broken down into: (1) an effect of the nutritional quality of the foods consumed (qualified using the modified Foods Standards Agency nutrient profile model (underlying the Nutri-Score) dietary index FSAm-NPS DI); (2) an effect of the ultra-processed nature of the foods consumed (qualified using the proportion of ultra-processed foods consumed UPFp using the NOVA classification), and (3) a cross-effect of both dimensions. RESULTS The overall effect from the 'nutritional quality of the foods consumed' (FSAm-NPS DI) was 1.10, corresponding to 26% of the total effect; the overall effect from ultra-processed foods consumption was 1.29, corresponding to 30% of the total effect; and cross-effect between nutritional quality of the foods consumed and ultra-processing was at 1.91, corresponding to 44% of total effects. CONCLUSIONS Our study provides support to the postulate that nutritional quality and ultra-processing should be considered as two correlated but distinct and complementary dimensions of the diet.
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Jaumet L, Hamdi Z, Julia C, Hercberg S, Touvier M, Bouchard P, Carra MC, Andreeva VA. Periodontitis assessed with a new screening tool and oral health-related quality of life: cross-sectional findings among general-population adults. Qual Life Res 2023; 32:259-272. [PMID: 35948787 PMCID: PMC9365217 DOI: 10.1007/s11136-022-03215-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/21/2022] [Indexed: 01/17/2023]
Abstract
INTRODUCTION Periodontitis, as a chronic, multifactorial inflammatory disease, has complex relationships with other diseases and ultimately with well-being. The aim of this cross-sectional study was to investigate the association between self-report periodontitis, as measured with the recently developed and validated modified Periodontal Screening Score (mPESS), and oral health-related quality of life (OHRQol) in a large population-based sample derived from the French NutriNet-Santé e-cohort. METHODS The sample was composed of 32,714 adults (75.5% women) with a mean age of 48.8 ± 13.9 years. Periodontitis was assessed based on age, smoking, and oral health status data obtained in 2011-2012, which allowed calculating the mPESS. An mPESS ≥ 5 was used to identify individuals at risk of severe periodontitis (main exposure). OHRQoL was measured with the Oral Health Impact Profile (OHIP-14) (main outcome) and the total score was dichotomized for analysis. Multivariable logistic regression analyses, considering physical health status, dietary and lifestyle confounding variables, were performed. RESULTS Overall, 6407 participants (19.6%) were at a high risk of severe periodontitis. A total of 7383 participants (22.6%) presented a relatively poor OHRQoL (OHIP-14 > 8, highest quartile). In the multivariable model, each of the following variables was independently and significantly associated with lower OHRQoL: older age (50-64 years), female sex, obesity, snacking between meals, frequent consumption of soft drinks and sweets/chocolate, risk of severe periodontitis, and having < 20 natural teeth were significantly. An mPESS ≥ 5 showed the highest odds for relatively poor OHRQoL (OR = 3.45; 95% CI 3.21-3.72). CONCLUSION The results support the association between periodontitis and OHRQoL in non-clinical samples. The use of mPESS could be tested in future prevention programs aiming at improving OHRQoL.
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Affiliation(s)
- Lauranne Jaumet
- Department of Periodontology, Service of Odontology, Rothschild Hospital, AP-HP, U.F.R. of Odontology-Garancière, University of Paris Cité, Paris, France
| | - Zeineb Hamdi
- Department of Periodontology, Service of Odontology, Rothschild Hospital, AP-HP, U.F.R. of Odontology-Garancière, University of Paris Cité, Paris, France
| | - Chantal Julia
- INSERM U1153/INRAE U1125/CNAM, Nutritional Epidemiology Research Unit (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Sorbonne Paris Nord University, 74 Rue Marcel Cachin, 93017 Bobigny, France ,Department of Public Health, Paris-Seine-Saint-Denis University Hospitals (AP-HP), Bobigny, France
| | - Serge Hercberg
- INSERM U1153/INRAE U1125/CNAM, Nutritional Epidemiology Research Unit (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Sorbonne Paris Nord University, 74 Rue Marcel Cachin, 93017 Bobigny, France ,Department of Public Health, Paris-Seine-Saint-Denis University Hospitals (AP-HP), Bobigny, France
| | - Mathilde Touvier
- INSERM U1153/INRAE U1125/CNAM, Nutritional Epidemiology Research Unit (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Sorbonne Paris Nord University, 74 Rue Marcel Cachin, 93017 Bobigny, France
| | - Philippe Bouchard
- Department of Periodontology, Service of Odontology, Rothschild Hospital, AP-HP, U.F.R. of Odontology-Garancière, University of Paris Cité, Paris, France ,Laboratory URP 2496 Orofacial Pathologies, Imaging and Biotherapies, University of Paris Cité, Paris, France
| | - Maria Clotilde Carra
- Department of Periodontology, Service of Odontology, Rothschild Hospital, AP-HP, U.F.R. of Odontology-Garancière, University of Paris Cité, Paris, France ,Population-Based Epidemiologic Cohorts Unit, INSERM UMS 011, Villejuif, France
| | - Valentina A. Andreeva
- INSERM U1153/INRAE U1125/CNAM, Nutritional Epidemiology Research Unit (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Sorbonne Paris Nord University, 74 Rue Marcel Cachin, 93017 Bobigny, France
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Srour B, Chazelas E, Druesne-Pecollo N, Esseddik Y, de Edelenyi FS, Agaësse C, De Sa A, Lutchia R, Debras C, Sellem L, Huybrechts I, Julia C, Kesse-Guyot E, Allès B, Galan P, Hercberg S, Pierre F, Deschasaux-Tanguy M, Touvier M. Dietary exposure to nitrites and nitrates in association with type 2 diabetes risk: Results from the NutriNet-Santé population-based cohort study. PLoS Med 2023; 20:e1004149. [PMID: 36649248 PMCID: PMC9844911 DOI: 10.1371/journal.pmed.1004149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 11/24/2022] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Nitrites and nitrates occur naturally in water and soil and are commonly ingested from drinking water and dietary sources. They are also used as food additives, mainly in processed meats, to increase shelf life and to avoid bacterial growth. Experimental studies suggested both benefits and harmful effects of nitrites and nitrates exposure on type 2 diabetes (T2D) onset, but epidemiological and clinical data are lacking. We aimed to study these associations in a large population-based prospective cohort study, distinguishing foods and water-originated nitrites/nitrates from those from food additives. METHODS AND FINDINGS Overall, 104,168 adults from the French NutriNet-Santé cohort study (2009 to 2021, 79.1% female, mean age [SD] = 42.7 [14.5]) were included. Associations between self-reported exposure to nitrites and nitrates (evaluated using repeated 24-h dietary records, linked to a comprehensive food composition database and accounting for commercial names/brands details of industrial products) and risk of T2D were assessed using cause-specific multivariable Cox proportional hazard models adjusted for known risk factors (sociodemographic, anthropometric, lifestyle, medical history, and nutritional factors). During a median follow-up duration of 7.3 years (interquartile range: [3.2; 10.1] years), 969 incident T2D cases were ascertained. Total nitrites and foods and water-originated nitrites were both positively associated with a higher T2D risk (HRtertile 3 vs.1 = 1.27 (95% CI 1.04 to 1.54), Ptrend = 0.009 and 1.26 (95% CI 1.03 to 1.54), Ptrend = 0.02, respectively). Participants with higher exposure to additives-originated nitrites (i.e., above the sex-specific median) and specifically those having higher exposure to sodium nitrite (e250) had a higher T2D risk compared with those who were not exposed to additives-originated nitrites (HR higher consumers vs. non-consumers = 1.53 (95% CI 1.24 to 1.88), Ptrend < 0.001 and 1.54 (95% CI 1.26 to 1.90), Ptrend < 0.001, respectively). There was no evidence for an association between total, foods and water-originated, or additives-originated nitrates and T2D risk (all Ptrend = 0.7). No causal link can be established from this observational study. Main limitations include possible exposure measurement errors and the lack of validation versus specific nitrites/nitrates biomarkers; potential selection bias linked to the healthier behaviors of the cohort's participants compared to the general population; potential residual confounding linked to the observational design, as well as a self-reported, yet cross-checked, case ascertainment. CONCLUSIONS The findings of this large prospective cohort did not support any potential benefits for dietary nitrites and nitrates. They suggested that a higher exposure to both foods and water-originated and additives-originated nitrites was associated with higher T2D risk in the NutriNet-Santé cohort. This study provides a new piece of evidence in the context of current debates about updating regulations to limit the use of nitrites as food additives. The results need to be replicated in other populations. TRIAL REGISTRATION ClinicalTrials.gov NCT03335644 (https://clinicaltrials.gov/ct2/show/NCT03335644).
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Affiliation(s)
- Bernard Srour
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Eloi Chazelas
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Nathalie Druesne-Pecollo
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Younes Esseddik
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
| | - Fabien Szabo de Edelenyi
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
| | - Cédric Agaësse
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
| | - Alexandre De Sa
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
| | - Rebecca Lutchia
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
| | - Charlotte Debras
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Laury Sellem
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Inge Huybrechts
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Chantal Julia
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
- Public Health Department, Avicenne Hospital, AP-HP, Bobigny, France
| | - Emmanuelle Kesse-Guyot
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Benjamin Allès
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
| | - Pilar Galan
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Serge Hercberg
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
- Public Health Department, Avicenne Hospital, AP-HP, Bobigny, France
| | - Fabrice Pierre
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Mélanie Deschasaux-Tanguy
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris-Cité (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
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Kesse-Guyot E, Allès B, Brunin J, Fouillet H, Dussiot A, Mariotti F, Langevin B, Berthy F, Touvier M, Julia C, Hercberg S, Lairon D, Barbier C, Couturier C, Pointereau P, Baudry J. Nutritionally adequate and environmentally respectful diets are possible for different diet groups: an optimized study from the NutriNet-Santé cohort. Am J Clin Nutr 2022; 116:1621-1633. [PMID: 36124645 DOI: 10.1093/ajcn/nqac253] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 09/12/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Research has shown that vegetarian diets have a low environmental impact, but few studies have examined the environmental impacts and nutritional adequacy of these diets together, even though vegetarian diets can lead to nutritional issues. OBJECTIVES Our objective was to optimize and compare 6 types of diets with varying degrees of plant foods (lacto-, ovolacto-, and pescovegetarian diets and diets with low, medium, and high meat content) under nutritional constraints. METHODS Consumption data in 30,000 participants were derived from the French NutriNet-Santé cohort using an FFQ. Diets were optimized by a nonlinear algorithm minimizing the diet deviation while meeting multiple constraints at both the individual and population levels: nonincrease of the cost and environmental impacts (as partial ReCiPe accounting for greenhouse gas emissions, cumulative energy demand, and land occupation, distinguishing production methods: organic and conventional), under epidemiologic, nutritional (based on nutrient reference values), and acceptability (according to the diet type) constraints. RESULTS Optimized diets were successfully identified for each diet type, except that it was impossible to meet the EPA (20:5n-3) + DHA (22:6n-3) requirements in lacto- and ovolactovegetarians. In all cases, meat consumption was redistributed or reduced and the consumption of legumes (including soy-based products), whole grains, and vegetables were increased, whereas some food groups, such as potatoes, fruit juices, and alcoholic beverages, were entirely removed from the diets. The lower environmental impacts (as well as individual indicators) observed for vegetarians could be attained even when nutritional references were reached except for long-chain n-3 (omega-3) fatty acids. CONCLUSIONS A low-meat diet could be considered as a target for the general population in the context of sustainable transitions, although all diets tested can be overall nutritionally adequate (except for n-3 fatty acids) when planned appropriately.This trial was registered at clinicaltrials.gov as NCT03335644.
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Affiliation(s)
- Emmanuelle Kesse-Guyot
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-Paris Cité University (CRESS), 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), Bobigny, France
| | - Benjamin Allès
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-Paris Cité University (CRESS), 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), Bobigny, France
| | - Joséphine Brunin
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-Paris Cité University (CRESS), 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), Bobigny, France.,French Environment and Energy Management Agency (ADEME), Angers, France
| | - Hélène Fouillet
- Physiology of Nutrition and Ingestive Behavior (UMR PNCA), Paris-Saclay University, AgroParisTech, National Research Institute for Agriculture, Food and the Environment (INRAE), Paris, France
| | - Alison Dussiot
- Physiology of Nutrition and Ingestive Behavior (UMR PNCA), Paris-Saclay University, AgroParisTech, National Research Institute for Agriculture, Food and the Environment (INRAE), Paris, France
| | - François Mariotti
- Physiology of Nutrition and Ingestive Behavior (UMR PNCA), Paris-Saclay University, AgroParisTech, National Research Institute for Agriculture, Food and the Environment (INRAE), Paris, France
| | | | - Florine Berthy
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-Paris Cité University (CRESS), 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), Bobigny, France
| | - Mathilde Touvier
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-Paris Cité University (CRESS), 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), Bobigny, France
| | - Chantal Julia
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-Paris Cité University (CRESS), 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), Bobigny, France.,Department of Public Health, Avicenne Hospital, Bobigny, France
| | - Serge Hercberg
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-Paris Cité University (CRESS), 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), Bobigny, France.,Department of Public Health, Avicenne Hospital, Bobigny, France
| | - Denis Lairon
- Cardiovascular and Nutrition Research Center (C2VN), Aix-Marseille University, National Institute of Health and Medical Research (Inserm), National Research Institute for Agriculture, Food and the Environment (INRAE), Marseille, France
| | - Carine Barbier
- International Centre for Research on the Environment and Development (UMR CIRED), National Center for Scientific Research (CNRS), Montpellier, France
| | | | | | - Julia Baudry
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-Paris Cité University (CRESS), 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), Bobigny, France
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Associations of overall and specific carbohydrate intake with anxiety status evolution in the prospective NutriNet-Santé population-based cohort. Sci Rep 2022; 12:21647. [PMID: 36517506 PMCID: PMC9750050 DOI: 10.1038/s41598-022-25337-5] [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: 06/14/2022] [Accepted: 11/29/2022] [Indexed: 12/15/2022] Open
Abstract
We investigated the association between carbohydrate intake and anxiety evolution within the general-population NutriNet-Santé cohort (N = 15,602; 73.8% female; mean age = 53.8y; mean follow-up = 5.4y). Carbohydrate intake was estimated at baseline from ≥ 2 24-h dietary records. Trait anxiety (STAI-T) was measured once at baseline (2013-2016) and once at follow-up (2020), resulting in 4 groups: "None" = absence of high anxiety (STAI-T > 40 points) at any time point; "Transient" = high anxiety only at baseline; "Onset at follow-up" = high anxiety only at follow-up; "Persistent" = high anxiety at baseline and follow-up. Polytomous logistic regression models revealed that sweetened beverage intake was associated with higher odds of "Transient" anxiety (ORQ4vsQ1 = 1.11; 95% CI 1.02-1.21). Intake of complex carbohydrates (ORQ4vsQ1 = 1.12; 1.01-1.25) was associated with higher odds of anxiety "Onset at follow-up." The % energy from carbohydrates (ORQ4vsQ1 = 1.11; 1.03-1.19), intakes of total carbohydrates (ORQ4vsQ1 = 1.10; 1.03-1.18) and complex carbohydrates (ORQ4vsQ1 = 1.09; 1.02-1.17) were associated with higher odds of "Persistent" anxiety, whereas 100% fruit juice intake showed lower odds of "Persistent" anxiety (ORQ4vsQ1 = 0.87; 0.81-0.94). This prospective study found significant associations between dietary carbohydrate intake and anxiety status evolution among French adults. The findings could help inform dietary interventions aimed at anxiety prevention and management.
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Sit G, Varraso R, Fezeu LK, Galan P, Orsi F, Pacheco Da Silva E, Touvier M, Hercberg S, Paris C, Le Moual N, Dumas O. Occupational Exposures to Irritants and Sensitizers, Asthma and Asthma Control in the Nutrinet-Santé Cohort. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2022; 10:3220-3227.e7. [PMID: 36108925 DOI: 10.1016/j.jaip.2022.08.047] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 08/11/2022] [Accepted: 08/26/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND The role of chronic occupational exposures to irritants in asthma remains not well-defined. Few studies have examined their associations with asthma and its control. OBJECTIVE To study the associations of occupational exposures with asthma and its control, with specific interest for irritants, including disinfectants and cleaning products (DCPs) and solvents. METHODS Analyses included 4,469 adults (3,792 with neither asthma nor respiratory symptoms, 677 with current asthma; 75.9% women, mean age 54 years) of a case-control study (2018) from the French NutriNet-Santé cohort. Current asthma was defined by ever asthma with symptoms, medication or asthma attacks in the past 12 months, adult-onset asthma by age at first asthma attack older than 16 years, and uncontrolled asthma was defined by an Asthma Control Test score less than 20. Ever/current exposures were assessed with the Occupational Asthma-specific Job Exposure Matrix. Associations were evaluated by multinomial logistic regressions adjusted for sex, age, smoking status, and body mass index. RESULTS Ever exposures to sensitizers (high molecular weight [HMW]: OR 1.53, 95% CI 1.18-2.00; and low molecular weight [LMW]: OR 1.42; 95% CI 1.09-1.87), irritants (OR 1.32; 95% CI 1.03-1.68), and DCPs (OR 1.43; 95% CI 1.10-1.85) were associated with current adult-onset asthma. Significant associations between ever exposures and uncontrolled adult-onset asthma were observed for high molecular weight (OR 2.69; 95% CI 1.52-4.78) and low molecular weight (OR 2.27; 95% CI 1.24-4.37) sensitizers, irritants (OR 2.32; 95% CI 1.36-3.95), and DCPs (OR 2.59; 95% CI 1.48-4.54). Results were similar for current exposures, with higher ORs. No association was observed with solvents. CONCLUSIONS Occupational exposures to both sensitizers and irritants were associated with current adult-onset asthma and uncontrolled asthma. Irritant and sensitizing agents should be carefully considered in asthma management.
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Affiliation(s)
- Guillaume Sit
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Équipe d'Épidémiologie respiratoire intégrative, CESP, Villejuif, France
| | - Raphaëlle Varraso
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Équipe d'Épidémiologie respiratoire intégrative, CESP, Villejuif, France
| | - Léopold K Fezeu
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France
| | - Pilar Galan
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France
| | - Florence Orsi
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Équipe d'Épidémiologie respiratoire intégrative, CESP, Villejuif, France
| | - Emilie Pacheco Da Silva
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Équipe d'Épidémiologie respiratoire intégrative, CESP, Villejuif, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France
| | - Serge Hercberg
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France
| | - Christophe Paris
- Équipe d'Épidémiologie en santé au travail et ergonomie (ESTER), Université Rennes 1, Institut de recherche en santé, environnement et travail (IRSET), Inserm (U1085), École des Hautes Études en Santé Publique (EHESP), Rennes, France
| | - Nicole Le Moual
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Équipe d'Épidémiologie respiratoire intégrative, CESP, Villejuif, France.
| | - Orianne Dumas
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Équipe d'Épidémiologie respiratoire intégrative, CESP, Villejuif, France
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Srour B, Kordahi MC, Bonazzi E, Deschasaux-Tanguy M, Touvier M, Chassaing B. Ultra-processed foods and human health: from epidemiological evidence to mechanistic insights. Lancet Gastroenterol Hepatol 2022; 7:1128-1140. [PMID: 35952706 DOI: 10.1016/s2468-1253(22)00169-8] [Citation(s) in RCA: 90] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 05/11/2022] [Accepted: 05/12/2022] [Indexed: 06/15/2023]
Abstract
Epidemiological studies have suggested a role for ultra-processed foods in numerous chronic inflammatory diseases such as inflammatory bowel diseases and metabolic syndrome. Preclinical and clinical studies are accumulating to better decipher the effects of various aspects of food processing and formulation on the aetiology of chronic, debilitating inflammatory diseases. In this Review, we provide an overview of the current data that highlight an association between ultra-processed food consumption and various chronic diseases, with a focus on epidemiological evidence and mechanistic insights involving the intestinal microbiota.
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Affiliation(s)
- Bernard Srour
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Centre of Research in Epidemiology and Statistics, Université Paris Cité, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Melissa C Kordahi
- INSERM U1016, Mucosal microbiota in chronic inflammatory diseases, CNRS UMR 8104, Université de Paris, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Erica Bonazzi
- INSERM U1016, Mucosal microbiota in chronic inflammatory diseases, CNRS UMR 8104, Université de Paris, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Mélanie Deschasaux-Tanguy
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Centre of Research in Epidemiology and Statistics, Université Paris Cité, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Centre of Research in Epidemiology and Statistics, Université Paris Cité, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Benoit Chassaing
- INSERM U1016, Mucosal microbiota in chronic inflammatory diseases, CNRS UMR 8104, Université de Paris, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France.
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MURAKAMI K. Lessons from the European Prospective Investigation into Cancer and Nutrition (EPIC) Study for the Development of Cross-Country Nutritional Epidemiologic Research in East Asia. J Nutr Sci Vitaminol (Tokyo) 2022; 68:S37-S39. [DOI: 10.3177/jnsv.68.s37] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Kentaro MURAKAMI
- Department of Social and Preventive Epidemiology, School of Public Health, University of Tokyo
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Guillien A, Bédard A, Dumas O, Allegre J, Arnault N, Bochaton A, Druesne-Pecollo N, Dumay D, Fezeu LK, Hercberg S, Le Moual N, Pilkington H, Rican S, Sit G, de Edelenyi FS, Touvier M, Galan P, Feuillet T, Varraso R, Siroux V. Exposome Profiles and Asthma among French Adults. Am J Respir Crit Care Med 2022; 206:1208-1219. [PMID: 35816632 DOI: 10.1164/rccm.202205-0865oc] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 07/11/2022] [Indexed: 11/16/2022] Open
Abstract
Rationale: Although previous studies in environmental epidemiology focused on single or a few exposures, a holistic approach combining multiple preventable risk factors is needed to tackle the etiology of multifactorial diseases such as asthma. Objectives: To investigate the association between combined socioeconomic, external environment, early-life environment, and lifestyle-anthropometric factors and asthma phenotypes. Methods: A total of 20,833 adults from the French NutriNet-Santé cohort were included (mean age, 56.2 yr; SD, 13.2; 72% women). The validated asthma symptom score (continuous) and asthma control (never asthma, controlled asthma, and uncontrolled asthma) were considered. The exposome (n = 87 factors) covered four domains: socioeconomic, external environment, early-life environment, and lifestyle-anthropometric. Cluster-based analyses were performed within each exposome domain, and the identified profiles were studied in association to asthma outcomes in negative binomial (asthma symptom score) or multinomial logistic (asthma control) regression models. Measurements and Main Results: In total, 5,546 (27%) individuals had an asthma symptom score ⩾1, and 1,206 (6%) and 194 (1%) had controlled and uncontrolled asthma, respectively. Three early-life exposure profiles ("high passive smoking-own dogs," "poor birth parameters-daycare attendance-city center," or "⩾2 siblings-breastfed" compared with "farm-pet owner-molds-low passive smoking") and one lifestyle-anthropometric profile ("unhealthy diet-high smoking-overweight" compared with "healthy diet-nonsmoker-thin") were associated with more asthma symptoms and uncontrolled asthma. Conclusions: This large-scale exposome-based study revealed early-life and lifestyle exposure profiles that were at risk for asthma in adults. Our findings support the importance of multiinterventional programs for the primary and secondary prevention of asthma, including control of specific early-life risk factors and promotion of a healthy lifestyle in adulthood.
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Affiliation(s)
- Alicia Guillien
- University of Grenoble Alpes, French National Institute of Health and Medical Research, French National Center for Scientific Research, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
| | - Annabelle Bédard
- French National Institute of Health and Medical Research, Joint Research Unit 1018, Center for Research in Epidemiology and Population Health Integrative Respiratory Epidemiology Team, Villejuif, France
| | - Orianne Dumas
- French National Institute of Health and Medical Research, Joint Research Unit 1018, Center for Research in Epidemiology and Population Health Integrative Respiratory Epidemiology Team, Villejuif, France
| | - Julien Allegre
- Sorbonne Paris Nord University, French National Institute of Health and Medical Research U1153, National Research Institute for Agriculture, Food and Environment U1125, French National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Nathalie Arnault
- Sorbonne Paris Nord University, French National Institute of Health and Medical Research U1153, National Research Institute for Agriculture, Food and Environment U1125, French National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Audrey Bochaton
- Joint Research Unit French National Center for Scientific Research 7533 Social Dynamics and Recomposition of Spaces Laboratory, Department of Geography, University of Paris Nanterre, Nanterre, France; and
| | - Nathalie Druesne-Pecollo
- Sorbonne Paris Nord University, French National Institute of Health and Medical Research U1153, National Research Institute for Agriculture, Food and Environment U1125, French National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Dorothée Dumay
- Department of Geography, Joint Research Unit French National Center for Scientific Research 7533 Social Dynamics and Recomposition of Spaces Laboratory, University of Paris 8 Vincennes-Saint-Denis, Saint-Denis, France
| | - Léopold K Fezeu
- Sorbonne Paris Nord University, French National Institute of Health and Medical Research U1153, National Research Institute for Agriculture, Food and Environment U1125, French National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Serge Hercberg
- Sorbonne Paris Nord University, French National Institute of Health and Medical Research U1153, National Research Institute for Agriculture, Food and Environment U1125, French National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Nicole Le Moual
- French National Institute of Health and Medical Research, Joint Research Unit 1018, Center for Research in Epidemiology and Population Health Integrative Respiratory Epidemiology Team, Villejuif, France
| | - Hugo Pilkington
- Department of Geography, Joint Research Unit French National Center for Scientific Research 7533 Social Dynamics and Recomposition of Spaces Laboratory, University of Paris 8 Vincennes-Saint-Denis, Saint-Denis, France
| | - Stéphane Rican
- Joint Research Unit French National Center for Scientific Research 7533 Social Dynamics and Recomposition of Spaces Laboratory, Department of Geography, University of Paris Nanterre, Nanterre, France; and
| | - Guillaume Sit
- French National Institute of Health and Medical Research, Joint Research Unit 1018, Center for Research in Epidemiology and Population Health Integrative Respiratory Epidemiology Team, Villejuif, France
| | - Fabien Szabo de Edelenyi
- Sorbonne Paris Nord University, French National Institute of Health and Medical Research U1153, National Research Institute for Agriculture, Food and Environment U1125, French National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, French National Institute of Health and Medical Research U1153, National Research Institute for Agriculture, Food and Environment U1125, French National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Pilar Galan
- Sorbonne Paris Nord University, French National Institute of Health and Medical Research U1153, National Research Institute for Agriculture, Food and Environment U1125, French National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Thierry Feuillet
- Sorbonne Paris Nord University, French National Institute of Health and Medical Research U1153, National Research Institute for Agriculture, Food and Environment U1125, French National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
- Department of Geography, Joint Research Unit French National Center for Scientific Research 7533 Social Dynamics and Recomposition of Spaces Laboratory, University of Paris 8 Vincennes-Saint-Denis, Saint-Denis, France
| | - Raphaëlle Varraso
- French National Institute of Health and Medical Research, Joint Research Unit 1018, Center for Research in Epidemiology and Population Health Integrative Respiratory Epidemiology Team, Villejuif, France
| | - Valérie Siroux
- University of Grenoble Alpes, French National Institute of Health and Medical Research, French National Center for Scientific Research, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
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Public perception of the tax on sweetened beverages in France. Public Health Nutr 2022; 25:3240-3251. [PMID: 35942709 PMCID: PMC9991787 DOI: 10.1017/s1368980022001665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To assess in 2021 the acceptance and perception of the French tax on sweetened beverages, following its revision in 2018, and factors associated with a higher level of acceptance. DESIGN A cross-sectional survey within the NutriNet-Santé cohort study. Participants were invited to complete a self-reported questionnaire in March 2021. Weighting was applied to the sample to allow inferences on the French population. Individual characteristics associated with support for the tax were investigated using logistic regression modelling. SETTINGS NutriNet-Santé prospective cohort study. PARTICIPANTS Adults engaged in the NutriNet-Santé cohort, aged 18 years or older (n 28 344), living in mainland France. RESULTS Almost two-thirds (63·4 %) of the participants were aware of the existence of a tax on sweetened beverages, although less than a quarter had specific knowledge regarding its design and the 2018 revision. In turn, 64·7 % of participants expressed a favourable opinion towards the taxation scheme. This proportion was higher if tax revenues were used to finance health-related measures (respectively 68·8 % of favourable opinion if used to finance a reduction in prices of healthy products and 76·4 % if used to finance the healthcare system). Multivariable analyses showed that support towards the tax varied among subgroups of the population. Groups who tended to be less financially affected by the measure and those who perceived sugar-sweetened beverages as having detrimental effects were more likely to support the tax. CONCLUSION The revised French sugar-sweetened beverage tax appeared to be favourably received and perceived by the public.
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Berthy F, Brunin J, Allès B, Fezeu LK, Touvier M, Hercberg S, Galan P, Pointereau P, Lairon D, Baudry J, Kesse-Guyot E. Association between adherence to the EAT-Lancet diet and risk of cancer and cardiovascular outcomes in the prospective NutriNet-Santé cohort. Am J Clin Nutr 2022; 116:980-991. [PMID: 35918246 DOI: 10.1093/ajcn/nqac208] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 07/29/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND The EAT-Lancet commission proposed, in 2019, a planetary, healthy, and universal dietary pattern. However, this diet has rarely been studied in relation to various health outcomes. OBJECTIVES We aimed to prospectively estimate the association between the EAT-Lancet diet and cancer and cardiovascular disease (CVD) risk. METHODS The study was conducted in participants of the NutriNet-Santé cohort (2009-2021). The endpoints were the incident outcomes (cancer and CVDs and mortality from these diseases), combined and separately. Adherence to the EAT-Lancet diet was estimated using the EAT-Lancet Diet Index (ELD-I) modeled as quintiles (Qs). Multivariable Cox proportional hazard models were used to estimate HRs and 95% CIs, adjusted for potential confounders and moderators. RESULTS A total of 62,382 subjects were included; 2475 cases of cancer and 786 cases of cardiovascular events occurred during a median follow-up of 8.1 y. The sample was 76% female, the mean ± SD age at inclusion was 51.0 ± 10.2 y. The ELD-I ranged from -162 to 332 points with a mean ± SD score of 45.4 ± 25.6 points. In multivariable models, no significant association between the EAT-Lancet diet and the risk of cancer and CVD combined, and separately, was observed. Alcohol consumption was an effect modifier of the association. A significant association was observed among low drinkers (HRQ5vs.Q1: 0.86; 95% CI: 0.73, 1.02; P-trend = 0.02). A higher ELD-I was significantly associated with a lower risk of overall cancer only among females (HRQ5vs.Q1: 0.89; 95% CI: 0.75, 1.05; P-trend = 0.03). Both associations were largely attenuated by BMI. CONCLUSIONS Contrary to our hypothesis, our results documented significant associations between adherence to the EAT-Lancet diet and incidence of cancer only in some subgroups, and no association with CVD.This trial was registered at clinicaltrials.gov as NCT03335644.
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Affiliation(s)
- Florine Berthy
- Sorbonne Paris Nord University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Joséphine Brunin
- Sorbonne Paris Nord University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Benjamin Allès
- Sorbonne Paris Nord University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Léopold K Fezeu
- Sorbonne Paris Nord University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Serge Hercberg
- Sorbonne Paris Nord University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France.,Department of Public Health, Avicenne Hospital, Bobigny, France
| | - Pilar Galan
- Sorbonne Paris Nord University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | | | - Denis Lairon
- Aix Marseille University, INSERM, INRAE, C2VN, Marseille, France
| | - Julia Baudry
- Sorbonne Paris Nord University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Emmanuelle Kesse-Guyot
- Sorbonne Paris Nord University, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
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48
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Bellicha A, Wendeu-Foyet G, Coumoul X, Koual M, Pierre F, Guéraud F, Zelek L, Debras C, Srour B, Sellem L, Kesse-Guyot E, Julia C, Galan P, Hercberg S, Deschasaux-Tanguy M, Touvier M. Dietary exposure to acrylamide and breast cancer risk: results from the NutriNet-Santé cohort. Am J Clin Nutr 2022; 116:911-919. [PMID: 36055962 DOI: 10.1093/ajcn/nqac167] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 05/10/2022] [Accepted: 06/07/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Acrylamide is classified as a probable human carcinogen by the International Agency for Research on Cancer but epidemiologic evidence on the carcinogenicity of acrylamide from dietary sources is limited. OBJECTIVES This study aimed to investigate the associations between dietary acrylamide and breast cancer risk in the NutriNet-Santé cohort, accounting for menopausal and hormone receptor status. METHODS This prospective cohort study included 80,597 French females (mean ± SD age at baseline: 40.8 ± 14 y) during a mean ± SD follow-up of 8.8 ± 2.3 y. Acrylamide intake was evaluated using repeated 24-h dietary records (n ± SD = 5.5 ± 3.0), linked to a comprehensive food composition database. Associations between acrylamide intake and breast cancer risk (overall, premenopausal, and postmenopausal) were assessed by Cox hazard models adjusted for known risk factors (sociodemographic, anthropometric, lifestyle, medical history, and nutritional factors). RESULTS The mean ± SD dietary acrylamide intake was 30.1 ± 21.9 µg/d (main contributors: coffee, potato fries and chips, pastries, cakes, bread). During follow-up, 1016 first incident breast cancer cases were diagnosed (431 premenopausal, 585 postmenopausal). A borderline significant positive association was observed between dietary acrylamide exposure and breast cancer risk overall (HR for quartile 4 compared with 1: 1.21; 95% CI: 1.00, 1.47) and a positive association was observed with premenopausal cancer (HRQ4vs.Q1: 1.40; 95% CI: 1.04, 1.88). Restricted cubic spline analyses suggested evidence for nonlinearity of these associations, with higher HRs for intermediate (quartile 2) and high (quartile 4) exposures. Receptor-specific analyses revealed positive associations with estrogen receptor-positive breast cancer (total and premenopausal). Acrylamide intake was not associated with postmenopausal breast cancer. CONCLUSIONS Results from this large prospective cohort study suggest a positive association between dietary acrylamide and breast cancer risk, especially in premenopausal females, and provide new insights that support continued mitigation strategies to reduce the content of acrylamide in food.This trial was registered at clinicaltrials.gov as NCT03335644.
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Affiliation(s)
- Alice Bellicha
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), Bobigny, France.,Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Gaëlle Wendeu-Foyet
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), Bobigny, France.,Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Xavier Coumoul
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France.,University Paris Cité, French National Institute of Health and Medical Research (INSERM UMR-S1124), T3S, Environmental Toxicity, Therapeutic Targets, Cellular Signaling and Biomarkers, Paris Cité University, Paris, France
| | - Meriem Koual
- University Paris Cité, French National Institute of Health and Medical Research (INSERM UMR-S1124), T3S, Environmental Toxicity, Therapeutic Targets, Cellular Signaling and Biomarkers, Paris Cité University, Paris, France.,Department of Gynecological and Breast Cancer Surgery, European Hospital Georges-Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Fabrice Pierre
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France.,Toxalim (Research Centre in Food Toxicology), French National Institute for Agricultural Research (INRAE), École Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique-Purpan (INP-Purpan), Université Paul Sabatier (UPS), Toulouse University, Toulouse, France
| | - Françoise Guéraud
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France.,Toxalim (Research Centre in Food Toxicology), French National Institute for Agricultural Research (INRAE), École Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique-Purpan (INP-Purpan), Université Paul Sabatier (UPS), Toulouse University, Toulouse, France
| | - Laurent Zelek
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), Bobigny, France.,Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France.,Oncology Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France
| | - Charlotte Debras
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), Bobigny, France.,Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Bernard Srour
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), Bobigny, France.,Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Laury Sellem
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), Bobigny, France.,Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Emmanuelle Kesse-Guyot
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), Bobigny, France.,Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Chantal Julia
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), Bobigny, France.,Public Health Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France
| | - Pilar Galan
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), Bobigny, France.,Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Serge Hercberg
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), Bobigny, France.,Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France.,Public Health Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), Bobigny, France.,Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University Paris Cité (CRESS), Bobigny, France.,Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
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49
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Dalle C, Tournayre J, Mainka M, Basiak-Rasała A, Pétéra M, Lefèvre-Arbogast S, Dalloux-Chioccioli J, Deschasaux-Tanguy M, Lécuyer L, Kesse-Guyot E, Fezeu LK, Hercberg S, Galan P, Samieri C, Zatońska K, Calder PC, Fiil Hjorth M, Astrup A, Mazur A, Bertrand-Michel J, Schebb NH, Szuba A, Touvier M, Newman JW, Gladine C. The Plasma Oxylipin Signature Provides a Deep Phenotyping of Metabolic Syndrome Complementary to the Clinical Criteria. Int J Mol Sci 2022; 23:ijms231911688. [PMID: 36232991 PMCID: PMC9570185 DOI: 10.3390/ijms231911688] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/23/2022] [Accepted: 09/24/2022] [Indexed: 11/06/2022] Open
Abstract
Metabolic syndrome (MetS) is a complex condition encompassing a constellation of cardiometabolic abnormalities. Oxylipins are a superfamily of lipid mediators regulating many cardiometabolic functions. Plasma oxylipin signature could provide a new clinical tool to enhance the phenotyping of MetS pathophysiology. A high-throughput validated mass spectrometry method, allowing for the quantitative profiling of over 130 oxylipins, was applied to identify and validate the oxylipin signature of MetS in two independent nested case/control studies involving 476 participants. We identified an oxylipin signature of MetS (coined OxyScore), including 23 oxylipins and having high performances in classification and replicability (cross-validated AUCROC of 89%, 95% CI: 85–93% and 78%, 95% CI: 72–85% in the Discovery and Replication studies, respectively). Correlation analysis and comparison with a classification model incorporating the MetS criteria showed that the oxylipin signature brings consistent and complementary information to the clinical criteria. Being linked with the regulation of various biological processes, the candidate oxylipins provide an integrative phenotyping of MetS regarding the activation and/or negative feedback regulation of crucial molecular pathways. This may help identify patients at higher risk of cardiometabolic diseases. The oxylipin signature of patients with metabolic syndrome enhances MetS phenotyping and may ultimately help to better stratify the risk of cardiometabolic diseases.
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Affiliation(s)
- Céline Dalle
- UNH, INRAE, Université Clermont Auvergne, 63000 Clermont-Ferrand, France
| | - Jérémy Tournayre
- UNH, INRAE, Université Clermont Auvergne, 63000 Clermont-Ferrand, France
| | - Malwina Mainka
- Faculty of Mathematics and Natural Sciences, University of Wuppertal, 42119 Wuppertal, Germany
| | - Alicja Basiak-Rasała
- Department of Social Medicine, Wroclaw Medical University, 50-367 Wroclaw, Poland
| | - Mélanie Pétéra
- Plateforme d’Exploration du Métabolisme, MetaboHUB Clermont, UNH, INRAE, Université Clermont Auvergne, 63000 Clermont-Ferrand, France
| | - Sophie Lefèvre-Arbogast
- Bordeaux Population Health Research Center, Université de Bordeaux, INSERMUMR 1219, 33076 Bordeaux, France
| | - Jessica Dalloux-Chioccioli
- MetaToul, MetaboHUB, Inserm/UPS UMR 1048-I2MC, Institut des Maladies Métaboliques et Cardiovasculaires, 31400 Toulouse, France
| | - Mélanie Deschasaux-Tanguy
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, Cnam, Epidemiology and Statistics Research Center, University Paris Cité (CRESS), 93017 Bobigny, France
| | - Lucie Lécuyer
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, Cnam, Epidemiology and Statistics Research Center, University Paris Cité (CRESS), 93017 Bobigny, France
| | - Emmanuelle Kesse-Guyot
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, Cnam, Epidemiology and Statistics Research Center, University Paris Cité (CRESS), 93017 Bobigny, France
| | - Léopold K. Fezeu
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, Cnam, Epidemiology and Statistics Research Center, University Paris Cité (CRESS), 93017 Bobigny, France
| | - Serge Hercberg
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, Cnam, Epidemiology and Statistics Research Center, University Paris Cité (CRESS), 93017 Bobigny, France
| | - Pilar Galan
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, Cnam, Epidemiology and Statistics Research Center, University Paris Cité (CRESS), 93017 Bobigny, France
| | - Cécilia Samieri
- Bordeaux Population Health Research Center, Université de Bordeaux, INSERMUMR 1219, 33076 Bordeaux, France
| | - Katarzyna Zatońska
- Department of Social Medicine, Wroclaw Medical University, 50-367 Wroclaw, Poland
| | - Philip C. Calder
- Faculty of Medicine, School of Human Development and Health, University of Southampton, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton SO16 6YD, UK
| | - Mads Fiil Hjorth
- Obesity and Nutritional Sciences, Novo Nordisk Foundation, 2900 Hellerup, Denmark
| | - Arne Astrup
- Obesity and Nutritional Sciences, Novo Nordisk Foundation, 2900 Hellerup, Denmark
| | - André Mazur
- UNH, INRAE, Université Clermont Auvergne, 63000 Clermont-Ferrand, France
| | - Justine Bertrand-Michel
- MetaToul, MetaboHUB, Inserm/UPS UMR 1048-I2MC, Institut des Maladies Métaboliques et Cardiovasculaires, 31400 Toulouse, France
| | - Nils Helge Schebb
- Faculty of Mathematics and Natural Sciences, University of Wuppertal, 42119 Wuppertal, Germany
| | - Andrzej Szuba
- Department of Angiology, Hypertension and Diabetology, Wroclaw Medical University, 50-556 Wroclaw, Poland
| | - Mathilde Touvier
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, Cnam, Epidemiology and Statistics Research Center, University Paris Cité (CRESS), 93017 Bobigny, France
| | - John W. Newman
- Obesity and Metabolism Research Unit, United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA 95616, USA
- University of California Davis Genome Center, University of California, Davis, CA 95616, USA
- Department of Nutrition, University of California, Davis, CA 95616, USA
| | - Cécile Gladine
- UNH, INRAE, Université Clermont Auvergne, 63000 Clermont-Ferrand, France
- Correspondence: ; Tel.: +33-473-624-230
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50
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Péneau S, Bénard M, Robert M, Allès B, Andreeva VA, Courtois F, Touvier M, Leys C, Bellisle F. Validation of the Flexible and Rigid Cognitive Restraint Scales in a General French Population. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12519. [PMID: 36231817 PMCID: PMC9564632 DOI: 10.3390/ijerph191912519] [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: 07/16/2022] [Revised: 08/30/2022] [Accepted: 09/01/2022] [Indexed: 06/16/2023]
Abstract
Distinguishing between flexible and rigid cognitive restraint (CR) may be useful for understanding the role of CR in dietary behavior and weight status. This study aimed to translate and adapt the flexible and rigid CR scales to the French context and test their psychometric properties. Construct validity, internal consistency, and test-retest reliability were examined in a sample of 620 individuals. Confirmatory factor analysis of the scales found a two-factor structure (flexible CR: 12 items; rigid CR: 15 items) that provided a good fit and supported the initial solution (χ2 = 584.7, df = 322, CFI = 0.96, RMSEA = 0.052 [0.045, 0.059], TLI = 0.95). Higher flexible and rigid CR were associated with higher CR overall, emotional eating (TFEQ-R21) and eating disorders (SCOFF), and lower intuitive eating (IES-2). In addition, higher flexible CR was associated with lower impulsivity (BIS-11) while higher rigid CR was associated with higher uncontrolled eating (TFEQ-R21) and lower self-esteem (RSES), satisfaction with life (SWLS), and optimism (LOT-R). Flexible and rigid CR internal consistency was satisfactory (McDonald ω = 0.77 and 0.74, respectively) and test-retest reliability was good (ICC = 0.81 and 0.79, respectively). This study validated a flexible and rigid CR tool in a French population and confirmed that these two types of CR represent distinct eating behaviors.
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Affiliation(s)
- Sandrine Péneau
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center—University of Paris (CRESS), 93017 Bobigny, France
| | - Marc Bénard
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center—University of Paris (CRESS), 93017 Bobigny, France
| | - Margaux Robert
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center—University of Paris (CRESS), 93017 Bobigny, France
| | - Benjamin Allès
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center—University of Paris (CRESS), 93017 Bobigny, France
| | - Valentina A. Andreeva
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center—University of Paris (CRESS), 93017 Bobigny, France
| | - Frédéric Courtois
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center—University of Paris (CRESS), 93017 Bobigny, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center—University of Paris (CRESS), 93017 Bobigny, France
| | - Christophe Leys
- Faculty of Psychological Sciences, Université Libre de Bruxelles, Avenue Franklin Roosevelt, 50-CP191, 1050 Brussels, Belgium
| | - France Bellisle
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center—University of Paris (CRESS), 93017 Bobigny, France
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