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Bouhaben J, Delgado-Lima AH, Delgado-Losada ML. The role of olfactory dysfunction in mild cognitive impairment and Alzheimer's disease: A meta-analysis. Arch Gerontol Geriatr 2024; 123:105425. [PMID: 38615524 DOI: 10.1016/j.archger.2024.105425] [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: 02/27/2024] [Revised: 03/22/2024] [Accepted: 03/27/2024] [Indexed: 04/16/2024]
Abstract
PURPOSE This comprehensive meta-analysis investigates the association between olfactory deficits in mild cognitive impairment (MCI) and Alzheimer's disease (AD). METHODS A thorough search across databases identified articles analyzing olfactory status in MCI or AD patients. Methodological quality assessment followed PRISMA guidelines. Hedges' g effect size statistic computed standard mean differences and 95% confidence intervals. Moderator analysis was conducted. RESULTS Among the included studies (65 for MCI and 61 for AD), odor identification exhibited larger effect sizes compared to odor threshold and discrimination, in both MCI and AD samples. Moderate effect size is found in OI scores in MCI (k = 65, SE = 0.078, CI 95% = [-1.151, -0.844]). Furthermore, compared to MCI, AD had moderate to large heterogeneous effects in olfactory identification (k = 61, g = -2.062, SE = 0.125, CI 95% = [-2.308, -1.816]). Global cognitive status is positively related to olfactory identification impairment in both MCI (k = 57, Z = 2.74, p = 0.006) and AD (k = 53, Z = 5.03, p < 0.0001) samples. CONCLUSION Olfactory impairments exhibit a notable and substantial presence in MCI. Among these impairments, odor identification experiences the greatest decline in MCI, mirroring the primary sensory deficit observed in AD. Consequently, the incorporation of a straightforward odor identification test is advisable in the evaluation of individuals vulnerable to the onset of AD, offering a practical screening tool for early detection.
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Affiliation(s)
- Jaime Bouhaben
- Experimental Psychology, Cognitive Processes and Speech Therapy Department, Faculty of Psychology, Complutense University of Madrid, 28223 Pozuelo de Alarcon, Spain
| | - Alice Helena Delgado-Lima
- Experimental Psychology, Cognitive Processes and Speech Therapy Department, Faculty of Psychology, Complutense University of Madrid, 28223 Pozuelo de Alarcon, Spain
| | - María Luisa Delgado-Losada
- Experimental Psychology, Cognitive Processes and Speech Therapy Department, Faculty of Psychology, Complutense University of Madrid, 28223 Pozuelo de Alarcon, Spain.
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Yu R, Lai D, Leung G, Tam LY, Cheng C, Kong S, Tong C, Woo J. Transitions in intrinsic capacity among community-dwelling older people and their associated factors: a multistate modelling analysis. J Nutr Health Aging 2024; 28:100273. [PMID: 38833766 DOI: 10.1016/j.jnha.2024.100273] [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: 04/03/2024] [Revised: 05/08/2024] [Accepted: 05/18/2024] [Indexed: 06/06/2024]
Abstract
OBJECTIVES Trajectory of intrinsic capacity (IC) can be non-linear and discontinuous, which traditional linear models may not be able to handle. This study thus aimed to model the trajectory of IC as transitions between different IC states and examine their associated factors. METHODS Longitudinal data from a sample of community-dwelling older people aged 60 years or above (n = 1,588) was analysed. A set of 14 self-reported items representing different domains of IC were administered annually to measure IC at four time points. Based on the number of impaired IC domains (i.e., cognitive, locomotor, vitality, sensory, and psychological), participants at each time point were classified into one of three IC states, namely state 1 (0 impaired domain), state 2 (1-2 impaired domains), and state 3 (3-5 impaired domains). Multistate modelling was used to identify factors associated with the transitions from one state to another. RESULTS The mean age of participants was 75.0 years, and 77.4% of them were female. At baseline, 12.4% were in state 1, 51.8% were in state 2, and 35.8% were in state 3. 62.8% of participants experienced at least one transition between states, among which 12% experienced a transition every year. The transitions occurred mostly between adjacent IC states and could take place back and forth. Age, sex, marital status, perceived financial adequacy, number of chronic diseases, and self-rated health were the factors associated with the transitions. CONCLUSION Findings may serve as a valuable reference for guiding future policies to optimize IC and promote healthy ageing using a person-centred approach.
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Affiliation(s)
- Ruby Yu
- The Chinese University of Hong Kong, Hong Kong.
| | - Derek Lai
- The Chinese University of Hong Kong, Hong Kong
| | - Grace Leung
- The Chinese University of Hong Kong, Hong Kong
| | - Lok-Yan Tam
- The Chinese University of Hong Kong, Hong Kong
| | - Clara Cheng
- The Chinese University of Hong Kong, Hong Kong
| | - Sara Kong
- The Chinese University of Hong Kong, Hong Kong
| | | | - Jean Woo
- The Chinese University of Hong Kong, Hong Kong
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Varay C, Lareyre O, Baeza-Velasco C. Are Palliative Care Volunteers Special People? A Comparative Observational Study Exploring Their Sociodemographic Profile and Psychological Resources. Am J Hosp Palliat Care 2024; 41:754-761. [PMID: 37538050 DOI: 10.1177/10499091231194036] [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: 08/05/2023] Open
Abstract
BACKGROUND Faced with rising needs for patient support, palliative care is shifting towards a more community-based approach. Yet the profile of volunteers in this field is poorly known. AIM To explore psychosocial characteristics of palliative care volunteers, by comparing them to two groups, volunteers from the health and social sector without contact with palliative patients, and people from the general population without volunteer activity. DESIGN Observational comparative study. Data were analyzed using descriptive statistics and logistic regression analysis. PARTICIPANTS The 3 groups of participants were recruited in France between September 2020 and June 2021. They completed an online survey assessing sociodemographic characteristics and psychological resources (self-efficacy, hope, optimism, resilience, mindfulness, self-compassion, empathy, forgivingness, and gratitude). RESULTS Data from 559 participants were analyzed. Palliative care volunteers had overall significantly higher levels of psychological resources than control groups. Multivariate analysis revealed, among sociodemographic and psychological characteristics that showed differences between groups at the univariate level, the most efficient predictors of group status. The best criteria to distinguish palliative care volunteers from health and social sector volunteers were older age, having received training, and lower levels of self-compassion. To distinguish palliative care volunteers from people with no volunteer activity, older age and non-active professional status were the best criteria. CONCLUSIONS Palliative care volunteers displayed more psychological resources than controls. However, older age and being trained for volunteering, emerged as stronger factors for distinguishing palliative care volunteers from controls. Pursuing research about these volunteers should facilitate recruitment, training, and retention.
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Affiliation(s)
- Caroline Varay
- Laboratoire de Psychopathologie et Processus de Santé, Université Paris Cité, Boulogne Billancourt, France
| | - Olivier Lareyre
- Universite Paul Valéry Montpellier 3-Epsylon, Montpellier, France
| | - Carolina Baeza-Velasco
- Laboratoire de Psychopathologie et Processus de Santé, Université Paris Cité, Boulogne Billancourt, France
- Department of Emergency Psychiatry and Acute Care, CHU Montpellier, Montpellier, France
- CNRS, INSERM, Institute of Functional Genomics, University of Montpellier, Montpellier, France
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Delgado-Lima AH, Bouhaben J, Delgado-Losada ML. The efficacy of olfactory training in improving olfactory function: a meta-analysis. Eur Arch Otorhinolaryngol 2024:10.1007/s00405-024-08733-7. [PMID: 38802578 DOI: 10.1007/s00405-024-08733-7] [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: 01/05/2024] [Accepted: 05/12/2024] [Indexed: 05/29/2024]
Abstract
PURPOSE Study the efficacy of olfactory training in smell recovery. METHODS An extensive search was performed through different databases in order to find articles analyzing the efficacy of olfactory training as a treatment for olfactory dysfunction. Methodological quality of primary studies within the final sample was assessed following PRISMA guidelines. Standardized mean differences in pre-post olfactory training groups, and also in experimental-control and pre-follow up if possible, were computed by Hedges' g effect size statistic. Each effect size was weighted by its inverse variance. RESULTS Final sample was composed of 36 articles (45 pre-post effect sizes). Contrasts were performed separately for odor identification, odor discrimination, odor threshold and general olfactory function. Moderate to large and heterogeneous effect was obtained for olfactory function (g = 0.755, k = 45, SE = 0.093, CI 95% = [0.572, 0.937]), different moderators had a significant effects, such as, training duration, age and anosmia diagnosis. CONCLUSION Olfactory training was found to have a positive and significant effect on rehabilitating the olfactory function.
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Affiliation(s)
- Alice Helena Delgado-Lima
- Experimental Psychology, Cognitive Processes and Speech Therapy Department, Faculty of Psychology, Complutense University of Madrid, 28223, Pozuelo de Alarcón, Spain
| | - Jaime Bouhaben
- Experimental Psychology, Cognitive Processes and Speech Therapy Department, Faculty of Psychology, Complutense University of Madrid, 28223, Pozuelo de Alarcón, Spain
| | - María Luisa Delgado-Losada
- Experimental Psychology, Cognitive Processes and Speech Therapy Department, Faculty of Psychology, Complutense University of Madrid, 28223, Pozuelo de Alarcón, Spain.
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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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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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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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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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10
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Harrington KM, Quaden R, Steele L, Helmer DA, Hauser ER, Ahmed ST, Aslan M, Radhakrishnan K, Honerlaw J, Nguyen XMT, Muralidhar S, Concato J, Cho K, Gaziano JM, Whitbourne SB. The Million Veteran Program 1990-1991 Gulf War Era Survey: An Evaluation of Veteran Response, Characteristics, and Representativeness of the Gulf War Era Veteran Population. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:72. [PMID: 38248536 PMCID: PMC10815483 DOI: 10.3390/ijerph21010072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 12/22/2023] [Accepted: 12/22/2023] [Indexed: 01/23/2024]
Abstract
To address gaps in understanding the pathophysiology of Gulf War Illness (GWI), the VA Million Veteran Program (MVP) developed and implemented a survey to MVP enrollees who served in the U.S. military during the 1990-1991 Persian Gulf War (GW). Eligible Veterans were invited via mail to complete a survey assessing health conditions as well as GW-specific deployment characteristics and exposures. We evaluated the representativeness of this GW-era cohort relative to the broader population by comparing demographic, military, and health characteristics between respondents and non-respondents, as well as with all GW-era Veterans who have used Veterans Health Administration (VHA) services and the full population of U.S. GW-deployed Veterans. A total of 109,976 MVP GW-era Veterans were invited to participate and 45,270 (41%) returned a completed survey. Respondents were 84% male, 72% White, 8% Hispanic, with a mean age of 61.6 years (SD = 8.5). Respondents were more likely to be older, White, married, better educated, slightly healthier, and have higher socioeconomic status than non-respondents, but reported similar medical conditions and comparable health status. Although generally similar to all GW-era Veterans using VHA services and the full population of U.S. GW Veterans, respondents included higher proportions of women and military officers, and were slightly older. In conclusion, sample characteristics of the MVP GW-era cohort can be considered generally representative of the broader GW-era Veteran population. The sample represents the largest research cohort of GW-era Veterans established to date and provides a uniquely valuable resource for conducting in-depth studies to evaluate health conditions affecting 1990-1991 GW-era Veterans.
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Affiliation(s)
- Kelly M. Harrington
- Million Veteran Program (MVP) Coordinating Center, VA Boston Healthcare System, Boston, MA 02130, USA; (R.Q.); (J.H.); (X.-M.T.N.); (K.C.); (J.M.G.); (S.B.W.)
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Rachel Quaden
- Million Veteran Program (MVP) Coordinating Center, VA Boston Healthcare System, Boston, MA 02130, USA; (R.Q.); (J.H.); (X.-M.T.N.); (K.C.); (J.M.G.); (S.B.W.)
| | - Lea Steele
- Veterans Health Research Program, Yudofsky Division of Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX 77030, USA;
| | - Drew A. Helmer
- Center for Innovations in Quality, Effectiveness, and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, TX 77030, USA; (D.A.H.); (S.T.A.)
- Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Elizabeth R. Hauser
- VA Cooperative Studies Program Epidemiology Center-Durham, Department of Veterans Affairs, Durham, NC 27705, USA;
- Department of Biostatistics and Bioinformatics, Duke Molecular Physiology Institute, Duke University, Durham, NC 27705, USA
| | - Sarah T. Ahmed
- Center for Innovations in Quality, Effectiveness, and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, TX 77030, USA; (D.A.H.); (S.T.A.)
- Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Mihaela Aslan
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT 06516, USA; (M.A.)
- Department of Internal Medicine, Yale University School of Medicine, New Haven, CT 06511, USA;
| | - Krishnan Radhakrishnan
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT 06516, USA; (M.A.)
- National Mental Health and Substance Use Policy Laboratory, Substance Abuse and Mental Health Services Administration, Rockville, MD 20857, USA
| | - Jacqueline Honerlaw
- Million Veteran Program (MVP) Coordinating Center, VA Boston Healthcare System, Boston, MA 02130, USA; (R.Q.); (J.H.); (X.-M.T.N.); (K.C.); (J.M.G.); (S.B.W.)
| | - Xuan-Mai T. Nguyen
- Million Veteran Program (MVP) Coordinating Center, VA Boston Healthcare System, Boston, MA 02130, USA; (R.Q.); (J.H.); (X.-M.T.N.); (K.C.); (J.M.G.); (S.B.W.)
- Carle Illinois College of Medicine, University of Illinois, Champaign, IL 61820, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, DC 20420, USA;
| | - John Concato
- Department of Internal Medicine, Yale University School of Medicine, New Haven, CT 06511, USA;
- Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Kelly Cho
- Million Veteran Program (MVP) Coordinating Center, VA Boston Healthcare System, Boston, MA 02130, USA; (R.Q.); (J.H.); (X.-M.T.N.); (K.C.); (J.M.G.); (S.B.W.)
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Division of Aging, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - J. Michael Gaziano
- Million Veteran Program (MVP) Coordinating Center, VA Boston Healthcare System, Boston, MA 02130, USA; (R.Q.); (J.H.); (X.-M.T.N.); (K.C.); (J.M.G.); (S.B.W.)
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Division of Aging, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Stacey B. Whitbourne
- Million Veteran Program (MVP) Coordinating Center, VA Boston Healthcare System, Boston, MA 02130, USA; (R.Q.); (J.H.); (X.-M.T.N.); (K.C.); (J.M.G.); (S.B.W.)
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Division of Aging, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
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11
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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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12
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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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13
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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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14
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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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15
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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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16
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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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17
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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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18
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Lorthe E, Santos C, Ornelas JP, Doetsch JN, Marques SCS, Teixeira R, Santos AC, Rodrigues C, Gonçalves G, Ferreira Sousa P, Correia Lopes J, Rocha A, Barros H. Using Digital Tools to Study the Health of Adults Born Preterm at a Large Scale: e-Cohort Pilot Study. J Med Internet Res 2023; 25:e39854. [PMID: 37184902 DOI: 10.2196/39854] [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: 05/25/2022] [Revised: 01/20/2023] [Accepted: 02/24/2023] [Indexed: 05/16/2023] Open
Abstract
BACKGROUND Preterm birth is a global health concern. Its adverse consequences may persist throughout the life course, exerting a potentially heavy burden on families, health systems, and societies. In high-income countries, the first children who benefited from improved care are now adults entering middle age. However, there is a clear gap in the knowledge regarding the long-term outcomes of individuals born preterm. OBJECTIVE This study aimed to assess the feasibility of recruiting and following up an e-cohort of adults born preterm worldwide and provide estimations of participation, characteristics of participants, the acceptability of questions, and the quality of data collected. METHODS We implemented a prospective, open, observational, and international e-cohort pilot study (Health of Adult People Born Preterm-an e-Cohort Pilot Study [HAPP-e]). Inclusion criteria were being an adult (aged ≥18 years), born preterm (<37 weeks of gestation), having internet access and an email address, and understanding at least 1 of the available languages. A large, multifaceted, and multilingual communication strategy was established. Between December 2019 and June 2021, inclusion and repeated data collection were performed using a secured web platform. We provided descriptive statistics regarding participation in the e-cohort, namely, the number of persons who registered on the platform, signed the consent form, initiated and completed the baseline questionnaire, and initiated and completed the follow-up questionnaire. We also described the main characteristics of the HAPP-e participants and provided an assessment of the quality of the data and the acceptability of sensitive questions. RESULTS As of December 31, 2020, a total of 1004 persons had registered on the platform, leading to 527 accounts with a confirmed email and 333 signed consent forms. A total of 333 participants initiated the baseline questionnaire. All participants were invited to follow-up, and 35.7% (119/333) consented to participate, of whom 97.5% (116/119) initiated the follow-up questionnaire. Completion rates were very high both at baseline (296/333, 88.9%) and at follow-up (112/116, 96.6%). This sample of adults born preterm in 34 countries covered a wide range of sociodemographic and health characteristics. The gestational age at birth ranged from 23+6 to 36+6 weeks (median 32, IQR 29-35 weeks). Only 2.1% (7/333) of the participants had previously participated in a cohort of individuals born preterm. Women (252/333, 75.7%) and highly educated participants (235/327, 71.9%) were also overrepresented. Good quality data were collected thanks to validation controls implemented on the web platform. The acceptability of potentially sensitive questions was excellent, as very few participants chose the "I prefer not to say" option when available. CONCLUSIONS Although we identified room for improvement in specific procedures, this pilot study confirmed the great potential for recruiting a large and diverse sample of adults born preterm worldwide, thereby advancing research on adults born preterm.
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Affiliation(s)
- Elsa Lorthe
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Carolina Santos
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - José Pedro Ornelas
- Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal
| | - Julia Nadine Doetsch
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Sandra C S Marques
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- NOVA Institute of Communication (ICNOVA), NOVA University of Lisbon, Lisboa, Portugal
| | - Raquel Teixeira
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Ana Cristina Santos
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Carina Rodrigues
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Gonçalo Gonçalves
- Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal
| | - Pedro Ferreira Sousa
- Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal
| | - João Correia Lopes
- Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal
- Department of Informatics, Faculty of Engineering, University of Porto, Porto, Portugal
| | - Artur Rocha
- Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal
| | - Henrique Barros
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
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Rissanen R, Warnqvist A, Hasselberg M. "I knew who I was this morning, but I've changed a few times since then": A study combining register and self-reported QoL data in assessing how response shift may occur in an injury population. Soc Sci Med 2023; 326:115916. [PMID: 37121068 DOI: 10.1016/j.socscimed.2023.115916] [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: 06/27/2022] [Revised: 02/01/2023] [Accepted: 04/16/2023] [Indexed: 05/02/2023]
Abstract
AIMS The phenomenon of response shift may occur when people are exposed to a traumatic event and reevaluate the meaning of important aspects of their lives; a phenomenon that a traditional pre- and post-assessment cannot catch. Hence, the aim of the study was to increase the knowledge of how response shift may occur in people who have suffered an injury. METHODS The current study is a register-based cohort study including 2512 participants. Data were retrieved from the Swedish LifeGene project and an online questionnaire, including the EQ5D. In order to analyze how response shift may occur, a "Then-test" and Structural Equation Model (SEM) were used. RESULTS The results showed a clear indication of response shift through recalibration. The SEM analysis confirmed that participants significantly shifted their response between the post- and retrospective measurements. Significant differences were found for the VAS and for two of the five EQ5D dimensions: anxiety/depression and pain. CONCLUSION This study provides additional knowledge to how response shift can occur in an injury population. This information can guide the next generation of QoL measures and be used as guidance for designing interventions for those suffering injuries. Furthermore, it may have an impact on how to interpret evaluations of interventions.
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Affiliation(s)
- Ritva Rissanen
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden.
| | - Anna Warnqvist
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Marie Hasselberg
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
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20
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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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21
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Stone AA, Schneider S, Smyth JM, Junghaenel DU, Couper MP, Wen C, Mendez M, Velasco S, Goldstein S. A population-based investigation of participation rate and self-selection bias in momentary data capture and survey studies. CURRENT PSYCHOLOGY 2023. [DOI: 10.1007/s12144-023-04426-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
AbstractParticipant selection bias is of concern to researchers conducting surveys of all types. For momentary data capture studies, such as Ecological Momentary Assessment, the level of burden associated with these techniques and the possibility of low uptake rates makes the concerns especially salient. This study invited 3,000 individuals to participate in a study of health and mood and recorded the uptake rates at various points in the process. Respondents expressing interest in participating in general were randomized into a one-time survey, a low-burden momentary study, or a high-burden momentary study. Overall, 85.9% of the sample did not respond to the study invitation (including confirming non-interest); 6.9% of the sample expressed interest in the study by completing a brief survey; 2.1% agreed to participate in the study when the protocol specifics were described (none of the study protocols were actually run). Whites were more likely to complete the survey. Of those completing the survey, individuals who reported higher income, a more “open” personality, better typing skills, better computer skills, who viewed the research topic as important, and who expressed interest in research on daily feelings more likely consented to being enrolled in the experiment. The number of prior surveys taken had an inverted-U shaped association with participation in this study. Finally, all individuals randomized to the one-time survey group agreed to participate compared to two-thirds of individuals in the momentary groups. These results suggest that participant selection bias may affect both one-time survey and momentary data capture studies, with the caveat that the degree of such bias will be related to a study’s hypotheses.
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22
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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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23
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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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24
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Gouesbet S, Kvaskoff M, Riveros C, Diard É, Pane I, Goussé-Breton Z, Valenti M, Gabillet M, Garoche C, Ravaud P, Tran VT. Patients' Perspectives on How to Improve Endometriosis Care: A Large Qualitative Study Within the ComPaRe-Endometriosis e-Cohort. J Womens Health (Larchmt) 2023; 32:463-470. [PMID: 36656556 DOI: 10.1089/jwh.2022.0323] [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: 01/20/2023] Open
Abstract
Background: Endometriosis is a chronic gynecological condition that affects about 10% of women of reproductive age. Despite its prevalence, diagnosis is often delayed, misdiagnosis is common, and treatment options are poor. This study aimed at capturing ideas to improve endometriosis care from the patients' perspectives. Materials and Methods: We analyzed cross-sectional data from 1,000 adult patients in ComPaRe-Endometriosis (a French prospective e-cohort focused on endometriosis) who answered to the open-ended question: "If you had a magic wand, what would you change about your health care?". The free-text responses were analyzed by qualitative thematic analysis using an inductive approach. Results: Patients had a mean age of 34.1 years (standard deviation = 8.1); 56% and 42% had stage IV disease or deep endometriosis, respectively. They elicited 2,487 ideas to improve the management of endometriosis, which were categorized into 61 areas of improvement, further grouped into 14 themes. The top five areas of improvement were mentioned by >10% of the patients and were to (1) train caregivers to develop their knowledge on the disease, (2) provide better management of daily pain and pain attacks, (3) take patient-reported symptoms seriously, (4) standardize diagnostic processes to improve early detection, and (5) have caregivers listen more to the patients. Conclusions: We identified 61 areas for improvement in endometriosis care. These results reflect patients' expectations in terms of management of their disease and will be useful to design a better global care for endometriosis from the patients' perspectives.
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Affiliation(s)
- Solène Gouesbet
- Paris-Saclay University, UVSQ, Univ. Paris-Sud, Inserm, Gustave Roussy, "Exposome and Heredity" Team, CESP, Villejuif, France.,Center for Clinical Epidemiology, Hôtel-Dieu Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | - Marina Kvaskoff
- Paris-Saclay University, UVSQ, Univ. Paris-Sud, Inserm, Gustave Roussy, "Exposome and Heredity" Team, CESP, Villejuif, France
| | - Carolina Riveros
- Center for Clinical Epidemiology, Hôtel-Dieu Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | - Élise Diard
- Center for Clinical Epidemiology, Hôtel-Dieu Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | - Isabelle Pane
- Center for Clinical Epidemiology, Hôtel-Dieu Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | - Zélia Goussé-Breton
- Paris-Saclay University, UVSQ, Univ. Paris-Sud, Inserm, Gustave Roussy, "Exposome and Heredity" Team, CESP, Villejuif, France
| | - Michelle Valenti
- Paris-Saclay University, UVSQ, Univ. Paris-Sud, Inserm, Gustave Roussy, "Exposome and Heredity" Team, CESP, Villejuif, France
| | | | | | - Philippe Ravaud
- Center for Clinical Epidemiology, Hôtel-Dieu Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France.,Université de Paris, CRESS, INSERM, INRA, Paris, France.,Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Viet-Thi Tran
- Center for Clinical Epidemiology, Hôtel-Dieu Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France.,Université de Paris, CRESS, INSERM, INRA, Paris, France
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25
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Stone AA, Schneider S, Smyth JM, Junghaenel DU, Wen C, Couper MP, Goldstein S. Shedding light on participant selection bias in Ecological Momentary Assessment (EMA) studies: Findings from an internet panel study. PLoS One 2023; 18:e0282591. [PMID: 36893179 PMCID: PMC9997985 DOI: 10.1371/journal.pone.0282591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 02/18/2023] [Indexed: 03/10/2023] Open
Abstract
Although the potential for participant selection bias is readily acknowledged in the momentary data collection literature, very little is known about uptake rates in these studies or about differences in the people that participate versus those who do not. This study analyzed data from an existing Internet panel of older people (age 50 and greater) who were offered participation into a momentary study (n = 3,169), which made it possible to compute uptake and to compare many characteristics of participation status. Momentary studies present participants with brief surveys multiple times a day over several days; these surveys ask about immediate or recent experiences. A 29.1% uptake rate was observed when all respondents were considered, whereas a 39.2% uptake rate was found when individuals who did not have eligible smartphones (necessary for ambulatory data collection) were eliminated from the analyses. Taking into account the participation rate for being in this Internet panel, we estimate uptake rates for the general population to be about 5%. A consistent pattern of differences emerged between those who accepted the invitation to participate versus those who did not (in univariate analyses): participants were more likely to be female, younger, have higher income, have higher levels of education, rate their health as better, be employed, not be retired, not be disabled, have better self-rated computer skills, and to have participated in more prior Internet surveys (all p < .0026). Many variables were not associated with uptake including race, big five personality scores, and subjective well-being. For several of the predictors, the magnitude of the effects on uptake was substantial. These results indicate the possibility that, depending upon the associations being investigated, person selection bias could be present in momentary data collection studies.
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Affiliation(s)
- Arthur A. Stone
- Department of Psychology, University of Southern California, Los Angeles, CA, United States of America
- Dornsife Center for Self-Report Science, University of Southern California, Los Angeles, CA, United States of America
- * E-mail:
| | - Stefan Schneider
- Department of Psychology, University of Southern California, Los Angeles, CA, United States of America
- Dornsife Center for Self-Report Science, University of Southern California, Los Angeles, CA, United States of America
| | - Joshua M. Smyth
- Department of Biobehavioral Health, The Pennsylvania State University, State College, PA, United States of America
| | - Doerte U. Junghaenel
- Department of Psychology, University of Southern California, Los Angeles, CA, United States of America
- Dornsife Center for Self-Report Science, University of Southern California, Los Angeles, CA, United States of America
| | - Cheng Wen
- Dornsife Center for Self-Report Science, University of Southern California, Los Angeles, CA, United States of America
| | - Mick P. Couper
- Institute for Social Research, University of Michigan, Ann Arbor, MI, United States of America
| | - Sarah Goldstein
- Dornsife Center for Self-Report Science, University of Southern California, Los Angeles, CA, United States of America
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26
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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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Srour B, Chazelas E, Fezeu LK, Javaux G, Pierre F, Huybrechts I, Hercberg S, Deschasaux‐Tanguy M, Kesse‐Guyot E, Touvier M. Nitrites, Nitrates, and Cardiovascular Outcomes: Are We Living "La Vie en Rose" With Pink Processed Meats? J Am Heart Assoc 2022; 11:e027627. [PMID: 36533633 PMCID: PMC9798789 DOI: 10.1161/jaha.122.027627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 11/16/2022] [Indexed: 12/23/2022]
Abstract
Background Nitrates and nitrites are used as food additives in processed meats. They are also commonly ingested from water and several foods. Several short-term clinical studies suggested beneficial effects of dietary nitrates on blood pressure, while deleterious effects on oxidative damage have been suggested in some experimental studies. However, there is a lack of evidence from longitudinal epidemiological studies linking foods and water-originated and additives-originated nitrites and nitrates, separately, to hypertension and cardiovascular diseases risk. We aimed to study these associations in a large population-based cohort. Methods and Results Overall, 106 288 adults from the French NutriNet-Santé cohort (2009-2022) were included. Associations between nitrites and nitrates intakes and hypertension and cardiovascular disease risks were assessed using multi-adjusted Cox proportional hazard models. During follow-up, 3810 incident cases of hypertension and 2075 cases of cardiovascular diseases were ascertained. Participants with higher intakes of additives-originated nitrites (sodium nitrite in particular [European code e250]) had a higher hypertension risk compared with nonconsumers (hazard ratio, 1.19 [95% CI, 1.08-1.32], P=0.001, and 1.19 [95% CI, 1.08-1.32], P=0.002), respectively. No association was detected between foods and water-originated nitrites, or nitrates with hypertension risk (all P values >0.3). We found no association between nitrites or nitrates and risks of cardiovascular diseases (all P values >0.2). Conclusions These results do not support a protective role of nitrites or nitrates in cardiovascular health. Instead, they suggest a positive association between nitrites from food additives and hypertension risk, which needs confirmation in other large-scale studies. These findings provide new evidence in the context of current discussions about updating regulations on the use of nitrites as food additives.
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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)BobignyFrance
- Nutrition And Cancer Research Network (NACRe Network)Jouy‐en‐JosasFrance
| | - 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)BobignyFrance
- Nutrition And Cancer Research Network (NACRe Network)Jouy‐en‐JosasFrance
| | - 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‐Cité (CRESS)BobignyFrance
| | - Guillaume Javaux
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center – University of Paris‐Cité (CRESS)BobignyFrance
| | - Fabrice Pierre
- Nutrition And Cancer Research Network (NACRe Network)Jouy‐en‐JosasFrance
- Toxalim (Research Centre in Food Toxicology)Université de Toulouse, INRAE, ENVT, INP‐Purpan, UPSToulouseFrance
| | - Inge Huybrechts
- Nutrition And Cancer Research Network (NACRe Network)Jouy‐en‐JosasFrance
- International Agency for Research on Cancer, World Health OrganizationLyonFrance
| | - 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)BobignyFrance
- Nutrition And Cancer Research Network (NACRe Network)Jouy‐en‐JosasFrance
- Public Health Department, Avicenne Hospital, AP‐HPBobignyFrance
| | - 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)BobignyFrance
- Nutrition And Cancer Research Network (NACRe Network)Jouy‐en‐JosasFrance
| | - 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)BobignyFrance
- Nutrition And Cancer Research Network (NACRe Network)Jouy‐en‐JosasFrance
| | - 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)BobignyFrance
- Nutrition And Cancer Research Network (NACRe Network)Jouy‐en‐JosasFrance
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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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No Association between Low-Calorie Sweetener (LCS) Use and Overall Cancer Risk in the Nationally Representative Database in the US: Analyses of NHANES 1988-2018 Data and 2019 Public-Use Linked Mortality Files. Nutrients 2022; 14:nu14234957. [PMID: 36500986 PMCID: PMC9740385 DOI: 10.3390/nu14234957] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 11/16/2022] [Accepted: 11/18/2022] [Indexed: 11/24/2022] Open
Abstract
Low-calorie sweeteners (LCS) serve to replace added sugars in beverages and foods. The present goal was to explore any potential links between LCS use and cancer risk using the nationally representative National Health and Nutrition Examination Surveys 1988-2018 linked to 2019 Public-Use Linked Mortality Files. Analyses were based on dietary intakes from 1988-1994 NHANES (n = 15,948) and 1999-2018 NHANES (n = 48,754) linked to mortality data. The 1988-1994 NHANES separated aspartame from saccharin consumption; later data did not. LCS consumers were more likely to be older, female, non-Hispanic White, and with higher education and incomes compared to nonconsumers. LCS consumers were less likely to smoke and had higher HEI-2015 scores indicating higher-quality diets. In the cross-sectional NHANES data, LCS use was associated with higher BMI and higher prevalence of obesity and diabetes. There was no indication that aspartame, saccharin, or all LCS had any impact on overall cancer mortality. By using nonconsumers as the reference group, the hazard ratio (95th confidence interval, CI) group trend for tertiles of LCS use for 1988-1994 for aspartame was 1.00 (0.89-1.12), for saccharin 0.96 (0.79-1.10), and for 1988-2018 for all LCS was 0.92 (0.88-1.101). The null group trend effects were seen for analyses stratified by age/gender. The present analyses confirm past US-based reports that LCS use was associated with higher socioeconomic status, lower prevalence of smoking, and generally higher-quality diets. No association with cancer mortality was observed.
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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: 13] [Impact Index Per Article: 6.5] [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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Debras C, Chazelas E, Sellem L, Porcher R, Druesne-Pecollo N, Esseddik Y, de Edelenyi FS, Agaësse C, De Sa A, Lutchia R, Fezeu LK, Julia C, Kesse-Guyot E, Allès B, Galan P, Hercberg S, Deschasaux-Tanguy M, Huybrechts I, Srour B, Touvier M. Artificial sweeteners and risk of cardiovascular diseases: results from the prospective NutriNet-Santé cohort. BMJ 2022; 378:e071204. [PMID: 36638072 PMCID: PMC9449855 DOI: 10.1136/bmj-2022-071204] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/01/2022] [Indexed: 01/18/2023]
Abstract
OBJECTIVES To study the associations between artificial sweeteners from all dietary sources (beverages, but also table top sweeteners, dairy products, etc), overall and by molecule (aspartame, acesulfame potassium, and sucralose), and risk of cardiovascular diseases (overall, coronary heart disease, and cerebrovascular disease). DESIGN Population based prospective cohort study (2009-21). SETTING France, primary prevention research. PARTICIPANTS 103 388 participants of the web based NutriNet-Santé cohort (mean age 42.2±14.4, 79.8% female, 904 206 person years). Dietary intakes and consumption of artificial sweeteners were assessed by repeated 24 h dietary records, including brand names of industrial products. MAIN OUTCOMES MEASURES Associations between sweeteners (coded as a continuous variable, log10 transformed) and cardiovascular disease risk, assessed by multivariable adjusted Cox hazard models. RESULTS Total artificial sweetener intake was associated with increased risk of cardiovascular diseases (1502 events, hazard ratio 1.09, 95% confidence interval 1.01 to 1.18, P=0.03); absolute incidence rate in higher consumers (above the sex specific median) and non-consumers was 346 and 314 per 100 000 person years, respectively. Artificial sweeteners were more particularly associated with cerebrovascular disease risk (777 events, 1.18, 1.06 to 1.31, P=0.002; incidence rates 195 and 150 per 100 000 person years in higher and non-consumers, respectively). Aspartame intake was associated with increased risk of cerebrovascular events (1.17, 1.03 to 1.33, P=0.02; incidence rates 186 and 151 per 100 000 person years in higher and non-consumers, respectively), and acesulfame potassium and sucralose were associated with increased coronary heart disease risk (730 events; acesulfame potassium: 1.40, 1.06 to 1.84, P=0.02; incidence rates 167 and 164; sucralose: 1.31, 1.00 to 1.71, P=0.05; incidence rates 271 and 161). CONCLUSIONS The findings from this large scale prospective cohort study suggest a potential direct association between higher artificial sweetener consumption (especially aspartame, acesulfame potassium, and sucralose) and increased cardiovascular disease risk. Artificial sweeteners are present in thousands of food and beverage brands worldwide, however they remain a controversial topic and are currently being re-evaluated by the European Food Safety Authority, the World Health Organization, and other health agencies. TRIAL REGISTRATION ClinicalTrials.gov NCT03335644.
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Affiliation(s)
- Charlotte Debras
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, University of Paris (CRESS), Bobigny, France
- French network for Nutrition and Cancer Research (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 Centre, University of Paris (CRESS), Bobigny, France
- French network for Nutrition and Cancer Research (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 Centre, University of Paris (CRESS), Bobigny, France
- French network for Nutrition and Cancer Research (NACRe network), Jouy-en-Josas, France
| | - Raphaël Porcher
- Université de Paris, CRESS UMR1153, INSERM, INRA, Paris, France
- Centre d'Épidémiologie Clinique, AP-HP, Hôtel-Dieu, Paris, France
| | - Nathalie Druesne-Pecollo
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, University of Paris (CRESS), Bobigny, France
- French network for Nutrition and Cancer Research (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 Centre, University of Paris (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 Centre, University of Paris (CRESS), Bobigny, France
| | - Cédric Agaësse
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, University of Paris (CRESS), Bobigny, France
| | - Alexandre De Sa
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, University of Paris (CRESS), Bobigny, France
| | - Rebecca Lutchia
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, 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 Centre, University of Paris (CRESS), Bobigny, France
- French network for Nutrition and Cancer Research (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 Centre, University of Paris (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 Centre, University of Paris (CRESS), Bobigny, France
- French network for Nutrition and Cancer Research (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 Centre, 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 Centre, University of Paris (CRESS), Bobigny, France
- French network for Nutrition and Cancer Research (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 Centre, University of Paris (CRESS), Bobigny, France
- French network for Nutrition and Cancer Research (NACRe network), Jouy-en-Josas, France
- Public Health Department, Avicenne Hospital, 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 Centre, University of Paris (CRESS), Bobigny, France
- French network for Nutrition and Cancer Research (NACRe network), Jouy-en-Josas, France
| | - Inge Huybrechts
- French network for Nutrition and Cancer Research (NACRe network), Jouy-en-Josas, France
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Bernard Srour
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Centre, University of Paris (CRESS), Bobigny, France
- French network for Nutrition and Cancer Research (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 Centre, University of Paris (CRESS), Bobigny, France
- French network for Nutrition and Cancer Research (NACRe network), Jouy-en-Josas, France
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Chazelas E, Pierre F, Druesne-Pecollo N, Esseddik Y, Szabo de Edelenyi F, Agaesse C, De Sa A, Lutchia R, Gigandet S, Srour B, Debras C, Huybrechts I, Julia C, Kesse-Guyot E, Allès B, Galan P, Hercberg S, Deschasaux-Tanguy M, Touvier M. Nitrites and nitrates from food additives and natural sources and cancer risk: results from the NutriNet-Santé cohort. Int J Epidemiol 2022; 51:1106-1119. [PMID: 35303088 PMCID: PMC9365633 DOI: 10.1093/ije/dyac046] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 03/16/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Nitrates and nitrites occur naturally in water and soil. They are also used as food additives (preservatives) in processed meats. They could play a role in the carcinogenicity of processed meat. The objective was to investigate the relationship between nitrate and nitrite intakes (natural food, water and food additive sources) and cancer risk in a large prospective cohort with detailed dietary assessment. METHODS Overall, 101 056 adults from the French NutriNet-Santé cohort (2009-ongoing, median follow-up 6.7 years) were included. Nitrites/nitrates exposure was evaluated using repeated 24-h dietary records, linked to a comprehensive composition database and accounting for commercial names/brands of industrial products. Associations with cancer risk were assessed using multi-adjusted Cox hazard models. RESULTS In total, 3311 incident cancer cases were diagnosed. Compared with non-consumers, high consumers of food additive nitrates had higher breast cancer risk [hazard ratio (HR) = 1.24 (95% CI 1.03-1.48), P = 0.02], more specifically for potassium nitrate. High consumers of food additive nitrites had higher prostate cancer risk [HR = 1.58 (1.14-2.18), P = 0.008], specifically for sodium nitrite. Although similar HRs were observed for colorectal cancer for additive nitrites [HR = 1.22 (0.85-1.75)] and nitrates [HR = 1.26 (0.90-1.76)], no association was detected, maybe due to limited statistical power for this cancer location. No association was observed for natural sources. CONCLUSION Food additive nitrates and nitrites were positively associated with breast and prostate cancer risks, respectively. Although these results need confirmation in other large-scale prospective studies, they provide new insights in a context of lively debate around the ban of these additives from the food industry.
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Affiliation(s)
- Eloi Chazelas
- 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
- French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, France
| | - Fabrice Pierre
- French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, France
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, 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 (CRESS), Bobigny, France
- French Network for Nutrition and Cancer Research (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 (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 (CRESS), Bobigny, France
| | - Cédric Agaesse
- 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
| | - 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 (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 (CRESS), Bobigny, France
| | | | - 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
- French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, 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 (CRESS), Bobigny, France
- French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, France
| | - Inge Huybrechts
- French Network for Nutrition and Cancer Research (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 (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 (CRESS), Bobigny, France
- French Network for Nutrition and Cancer Research (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 (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
- French Network for Nutrition and Cancer Research (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
- French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, France
- Public Health Department, Avicenne Hospital, 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 of Paris (CRESS), Bobigny, France
- French Network for Nutrition and Cancer Research (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 (CRESS), Bobigny, France
- French Network for Nutrition and Cancer Research (NACRe Network), Jouy-en-Josas, France
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Christie CD, Friedenreich CM, Vena JE, Turley L, McCormack GR. Cross-sectional and longitudinal associations between the built environment and walking: effect modification by socioeconomic status. BMC Public Health 2022; 22:1233. [PMID: 35729509 PMCID: PMC9210749 DOI: 10.1186/s12889-022-13611-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 06/06/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Although socioeconomic status (SES) has been shown to modify associations between the neighborhood built environment and physical activity, contradictory results exist. Objectives of this cross-sectional and longitudinal analysis were to: 1) examine whether overall neighborhood walkability and specific built characteristics were associated with walking among adults at a single point in time and after they relocate neighborhoods, and 2) test for effect modification of these associations by SES. METHODS We linked longitudinal data from 703 adults who relocated urban neighborhoods between two waves of Alberta's Tomorrow Project (2008-2015) to neighborhood built environment data. We created a walkability index from measures of population counts, street connectivity, and destination diversity within 400 m of participants' homes. In cross-sectional analyses, we used generalized linear models to estimate associations between built characteristics and minutes walked per week at baseline. For the longitudinal analyses, we used fixed-effects linear regression models to estimate associations between changes in built characteristics and minutes walked per week. We also assessed if indicators of SES (individual education or household income) modified both sets of associations. RESULTS Most cross-sectional and longitudinal associations were small and statistically non-significant. Neighborhood population count (b = 0.03, 95% CI: 0.01, 0.07) and street connectivity (b = - 1.75, 95% CI: - 3.26, - 0.24) were cross-sectionally associated with walking duration among the overall sample. None of the longitudinal associations were statistically significant among the overall sample. There was limited evidence of effect modification by SES, however, we found negative cross-sectional associations between street connectivity and walking among adults with lower education and income, and a positive association between percent change in walkability and change in walking among lower educated adults. CONCLUSIONS Despite population count and street connectivity being associated with walking at baseline, changes in these built environment variables were not associated with changes in walking following residential relocation. Our findings also provide evidence, albeit weak, that changes in neighborhood walkability, resulting from residential relocation, might more strongly affect walking among low SES adults. Further longitudinal research is needed to examine built environment characteristics with walking for different purposes and to test for inequitable socioeconomic impacts.
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Affiliation(s)
- Chelsea D Christie
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW 3rd floor, 3280 Hospital Drive NW, Calgary, Alberta, T2N 4Z6, Canada.
| | - Christine M Friedenreich
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW 3rd floor, 3280 Hospital Drive NW, Calgary, Alberta, T2N 4Z6, Canada.,Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, 2210 2nd St SW, Calgary, Alberta, T2S 3C3, Canada
| | - Jennifer E Vena
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW 3rd floor, 3280 Hospital Drive NW, Calgary, Alberta, T2N 4Z6, Canada.,Alberta's Tomorrow Project, Cancer Care Alberta, Alberta Health Services, Richmond Road Diagnostic and Treatment Centre, 1820 Richmond Road SW, Calgary, Alberta, T2T 5C7, Canada
| | - Liam Turley
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW 3rd floor, 3280 Hospital Drive NW, Calgary, Alberta, T2N 4Z6, Canada
| | - Gavin R McCormack
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW 3rd floor, 3280 Hospital Drive NW, Calgary, Alberta, T2N 4Z6, Canada.,School of Architecture, Planning and Landscape, University of Calgary, 2500 University Dr NW, Calgary, Alberta, T2N 4N1, Canada
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36
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Rebouillat P, Vidal R, Cravedi JP, Taupier-Letage B, Debrauwer L, Gamet-Payrastre L, Guillou H, Touvier M, Fezeu LK, Hercberg S, Lairon D, Baudry J, Kesse-Guyot E. Prospective association between dietary pesticide exposure profiles and type 2 diabetes risk in the NutriNet-Santé cohort. Environ Health 2022; 21:57. [PMID: 35614475 PMCID: PMC9131692 DOI: 10.1186/s12940-022-00862-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 04/30/2022] [Indexed: 05/29/2023]
Abstract
BACKGROUND Studies focusing on dietary pesticides in population-based samples are scarce and little is known about potential mixture effects. We aimed to assess associations between dietary pesticide exposure profiles and Type 2 Diabetes (T2D) among NutriNet-Santé cohort participants. METHODS Participants completed a Food Frequency Questionnaire at baseline, assessing conventional and organic food consumption. Exposures to 25 active substances used in European Union pesticides were estimated using the Chemisches und Veterinäruntersuchungsamt Stuttgart residue database accounting for farming practices. T2D were identified through several sources. Exposure profiles were established using Non-Negative Matrix Factorization (NMF), adapted for sparse data. Cox models adjusted for known confounders were used to estimate hazard ratios (HR) and 95% confidence interval (95% CI), for the associations between four NMF components, divided into quintiles (Q) and T2D risk. RESULTS The sample comprised 33,013 participants aged 53 years old on average, including 76% of women. During follow-up (median: 5.95 years), 340 incident T2D cases were diagnosed. Positive associations were detected between NMF component 1 (reflecting highest exposure to several synthetic pesticides) and T2D risk on the whole sample: HRQ5vsQ1 = 1.47, 95% CI (1.00, 2.18). NMF Component 3 (reflecting low exposure to several synthetic pesticides) was associated with a decrease in T2D risk, among those with high dietary quality only (high adherence to French dietary guidelines, including high plant foods consumption): HRQ5vsQ1 = 0.31, 95% CI (0.10, 0.94). CONCLUSIONS These findings suggest a role of dietary pesticide exposure in T2D risk, with different effects depending on which types of pesticide mixture participants are exposed to. These associations need to be confirmed in other types of studies and settings, and could have important implications for developing prevention strategies (regulation, dietary guidelines). TRIAL REGISTRATION This study is registered in ClinicalTrials.gov ( NCT03335644 ).
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Affiliation(s)
- Pauline Rebouillat
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, Inserm, INRAE, Cnam, University Paris Cité (CRESS), 74 rue Marcel Cachin, 93017, Bobigny, France.
| | - Rodolphe Vidal
- Institut de L'Agriculture Et de L'Alimentation Biologiques (ITAB), 75595, Paris, France
| | - Jean-Pierre Cravedi
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, 31027, Toulouse, France
| | - Bruno Taupier-Letage
- Institut de L'Agriculture Et de L'Alimentation Biologiques (ITAB), 75595, Paris, France
| | - Laurent Debrauwer
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, 31027, Toulouse, France
| | - Laurence Gamet-Payrastre
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, 31027, Toulouse, France
| | - Hervé Guillou
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, 31027, Toulouse, France
| | - Mathilde Touvier
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, Inserm, INRAE, Cnam, University Paris Cité (CRESS), 74 rue Marcel Cachin, 93017, Bobigny, France
| | - Léopold K Fezeu
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, Inserm, INRAE, Cnam, University Paris Cité (CRESS), 74 rue Marcel Cachin, 93017, Bobigny, France
- Département de Santé Publique, Hôpital Avicenne, 93017, Bobigny, France
| | - Serge Hercberg
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, Inserm, INRAE, Cnam, University Paris Cité (CRESS), 74 rue Marcel Cachin, 93017, Bobigny, France
- Département de Santé Publique, Hôpital Avicenne, 93017, Bobigny, France
| | - Denis Lairon
- Aix Marseille Université, INSERM, INRAE, C2VN, 13005, Marseille, France
| | - Julia Baudry
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, Inserm, INRAE, Cnam, University Paris Cité (CRESS), 74 rue Marcel Cachin, 93017, Bobigny, France
| | - Emmanuelle Kesse-Guyot
- Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Sorbonne Paris Nord University, Inserm, INRAE, Cnam, University Paris Cité (CRESS), 74 rue Marcel Cachin, 93017, Bobigny, France
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Gisch UA, Robert M, Berlin N, Nebout A, Etilé F, Teyssier S, Andreeva VA, Hercberg S, Touvier M, Péneau S. Mastery Is Associated With Weight Status, Food Intake, Snacking, and Eating Disorder Symptoms in the NutriNet-Santé Cohort Study. Front Nutr 2022; 9:871669. [PMID: 35694168 PMCID: PMC9174750 DOI: 10.3389/fnut.2022.871669] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 04/15/2022] [Indexed: 11/20/2022] Open
Abstract
Mastery is a psychological resource that is defined as the extent to which individuals perceive having control over important circumstances of their lives. Although mastery has been associated with various physical and psychological health outcomes, studies assessing its relationship with weight status and dietary behavior are lacking. The aim of this cross-sectional study was to assess the relationship between mastery and weight status, food intake, snacking, and eating disorder (ED) symptoms in the NutriNet-Santé cohort study. Mastery was measured with the Pearlin Mastery Scale (PMS) in 32,588 adults (77.45% female), the mean age was 50.04 (14.53) years. Height and weight were self-reported. Overall diet quality and food group consumption were evaluated with ≥3 self-reported 24-h dietary records (range: 3-27). Snacking was assessed with an ad-hoc question. ED symptoms were assessed with the Sick-Control-One-Fat-Food Questionnaire (SCOFF). Linear and logistic regression analyses were conducted to assess the relationship between mastery and weight status, food intake, snacking, and ED symptoms, controlling for sociodemographic and lifestyle characteristics. Females with a higher level of mastery were less likely to be underweight (OR: 0.88; 95%CI: 0.84, 0.93), overweight [OR: 0.94 (0.91, 0.97)], or obese [class I: OR: 0.86 (0.82, 0.90); class II: OR: 0.76 (0.71, 0.82); class III: OR: 0.77 (0.69, 0.86)]. Males with a higher level of mastery were less likely to be obese [class III: OR: 0.75 (0.57, 0.99)]. Mastery was associated with better diet quality overall, a higher consumption of fruit and vegetables, seafood, wholegrain foods, legumes, non-salted oleaginous fruits, and alcoholic beverages and with a lower consumption of meat and poultry, dairy products, sugary and fatty products, milk-based desserts, and sweetened beverages. Mastery was also associated with lower snacking frequency [OR: 0.89 (0.86, 0.91)] and less ED symptoms [OR: 0.73 (0.71, 0.75)]. As mastery was associated with favorable dietary behavior and weight status, targeting mastery might be a promising approach in promoting healthy behaviors. Clinical Trial Registry Number NCT03335644 at Clinicaltrials.gov.
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Affiliation(s)
- Ulrike A. Gisch
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Centre of Research in Epidemiology and Statistics - University of Paris (CRESS), Bobigny, France
- Counseling Psychology, Department of Psychology, University of Potsdam, Potsdam, Germany
| | - Margaux Robert
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Centre of Research in Epidemiology and Statistics - University of Paris (CRESS), Bobigny, France
| | - Noémi Berlin
- CNRS, EconomiX – UMR 7235, University of Paris Nanterre, Ivry-sur-Seine, France
| | | | - Fabrice Etilé
- INRAE, UR 1303 ALISS, Ivry-sur-Seine, France
- Paris School of Economics and INRAE, UMR1393 PjSE, Paris, France
| | - Sabrina Teyssier
- Grenoble Alpes University, INRAE, CNRS, Grenoble INP, GAEL, Grenoble, France
| | - Valentina A. Andreeva
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Centre of Research in Epidemiology and Statistics - University of Paris (CRESS), Bobigny, France
| | - Serge Hercberg
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Centre of Research in Epidemiology and Statistics - University of Paris (CRESS), Bobigny, France
- Department of Public Health, AP-HP Avicenne Hospital, Bobigny, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Centre of Research in Epidemiology and Statistics - University of Paris (CRESS), Bobigny, France
| | - Sandrine Péneau
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Centre of Research in Epidemiology and Statistics - University of Paris (CRESS), Bobigny, France
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Figueiredo N, Kose J, Srour B, Julia C, Kesse-Guyot E, Péneau S, Allès B, Paz Graniel I, Chazelas E, Deschasaux-Tanguy M, Debras C, Hercberg S, Galan P, Monteiro CA, Touvier M, Andreeva VA. Ultra-processed food intake and eating disorders: Cross-sectional associations among French adults. J Behav Addict 2022; 11:588-599. [PMID: 35380986 PMCID: PMC9295249 DOI: 10.1556/2006.2022.00009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 02/13/2022] [Accepted: 03/08/2022] [Indexed: 11/19/2022] Open
Abstract
Background and aims Data regarding the association between ultra-processed food (UPF) consumption and eating disorders (ED) are scarce. Our aim was to investigate whether UPF intake was associated with different ED types in a large population-based study. Methods 43,993 participants (mean age = 51.0 years; 76.1% women) of the French NutriNet-Santé web-cohort who were screened for ED in 2014 via the Sick-Control-One stone-Fat-Food (SCOFF) questionnaire, were included in the analysis. The clinical algorithm Expali TM tool was used to identify four ED types: restrictive, bulimic, binge eating, and other (not otherwise specified). Mean dietary intake was evaluated from at least 2 self-administered 24-h dietary records (2013-2015); categorization of food as ultra-processed or not relied on the NOVA classification. The associations between UPF intake (as percent and reflecting mean daily UPF quantity (g/d) within the dietary intake, %UPF) and ED types were evaluated using polytomous logistic regression models. Results 5,967 participants (13.6%) were categorized as likely ED (restrictive n = 444; bulimic n = 1,575; binge eating n = 3,124; other ED n = 824). The fully-adjusted analyses revealed a positive association between UPF intake and bulimic, binge eating, and other ED: ED risk (odds ratio, OR) for an absolute 10-percentage point incremental increase in %UPF intake were 1.08 (1.01-1.14; P = 0.02), 1.21 (1.16-1.26; P < 0.0001), and 1.11 (1.02-1.20; P = 0.02), respectively. No significant association was detected for restrictive ED. Discussion and Conclusion This study revealed an association of UPF intake with different ED types among French adults. Future research is needed to elucidate the direction of the observed associations.
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Affiliation(s)
- Natasha Figueiredo
- Nutritional Epidemiology Research Group (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS) – University of Paris, Bobigny, France
- Health Services Research Group (RESHAPE), INSERM U1290, Claude Bernard University - Lyon 1, Lyon, France
| | - Junko Kose
- Nutritional Epidemiology Research Group (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS) – University of Paris, Bobigny, France
| | - Bernard Srour
- Nutritional Epidemiology Research Group (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS) – University of Paris, Bobigny, France
- National Nutrition and Cancer Research Network (NACRE), Jouy-en-Josas, France
| | - Chantal Julia
- Nutritional Epidemiology Research Group (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS) – University of Paris, Bobigny, France
- Department of Public Health, AP-HP Paris Seine-Saint-Denis Hospital System, Bobigny, France
| | - Emmanuelle Kesse-Guyot
- Nutritional Epidemiology Research Group (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS) – University of Paris, Bobigny, France
- National Nutrition and Cancer Research Network (NACRE), Jouy-en-Josas, France
| | - Sandrine Péneau
- Nutritional Epidemiology Research Group (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS) – University of Paris, Bobigny, France
| | - Benjamin Allès
- Nutritional Epidemiology Research Group (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS) – University of Paris, Bobigny, France
| | - Indira Paz Graniel
- Human Nutrition Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University, Tarragona, Spain
| | - Eloi Chazelas
- Nutritional Epidemiology Research Group (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS) – University of Paris, Bobigny, France
- National Nutrition and Cancer Research Network (NACRE), Jouy-en-Josas, France
| | - Mélanie Deschasaux-Tanguy
- Nutritional Epidemiology Research Group (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS) – University of Paris, Bobigny, France
- National Nutrition and Cancer Research Network (NACRE), Jouy-en-Josas, France
| | - Charlotte Debras
- Nutritional Epidemiology Research Group (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS) – University of Paris, Bobigny, France
- National Nutrition and Cancer Research Network (NACRE), Jouy-en-Josas, France
| | - Serge Hercberg
- Nutritional Epidemiology Research Group (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS) – University of Paris, Bobigny, France
- National Nutrition and Cancer Research Network (NACRE), Jouy-en-Josas, France
- Department of Public Health, AP-HP Paris Seine-Saint-Denis Hospital System, Bobigny, France
| | - Pilar Galan
- Nutritional Epidemiology Research Group (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS) – University of Paris, Bobigny, France
- National Nutrition and Cancer Research Network (NACRE), Jouy-en-Josas, France
| | - Carlos A. Monteiro
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Mathilde Touvier
- Nutritional Epidemiology Research Group (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS) – University of Paris, Bobigny, France
- National Nutrition and Cancer Research Network (NACRE), Jouy-en-Josas, France
| | - Valentina A. Andreeva
- Nutritional Epidemiology Research Group (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS) – University of Paris, Bobigny, France
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Rissanen R. A snapshot of an eCohort: A comparison of the LifeGene population at baseline with the Swedish general population. Scand J Public Health 2022; 50:930-934. [PMID: 35365049 DOI: 10.1177/14034948211047776] [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: 11/16/2022]
Abstract
AIMS With access to technologies and internet around the globe, opportunities have been provided to contact and recruit participants at a more rapid pace, without face-to-face contact. However, 'eCohorts' may yield substantial volunteer bias. Few studies have compared eCohorts to general populations or samples where traditional research methods have been applied. To our knowledge, no prior analyses have reported on Swedish-based LifeGene eCohort, in comparison with the Swedish general population. The aim of this study was to compare the LifeGene eCohort at baseline with the Swedish general population. METHODS The LifeGene eCohort (n = 39,862) was compared with the general population in Sweden represented by weighted data from the Swedish Public Health agency and Statistics Sweden. LifeGene is a nationwide project with yearly data collection. Descriptive statistics were used to compare demographic characteristics, and self-reported data on diagnosis of depression. RESULTS The LifeGene eCohort overrepresented younger people, females, those with a higher socio-economic status, non-smokers and people with a diagnosis of depression. Surprisingly, the eCohort included a larger percentage of people born outside of Sweden compared to the general population, which is not in line with previous studies. CONCLUSION The results show that the participants in the LifeGene eCohort are different regarding demographic variables and some health indicators from the Swedish general population. Hence, if comparisons are made between the LifeGene eCohort and a general population it becomes important to be aware of the differences that might exist between the different cohort populations and how these might affect the estimates.
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Affiliation(s)
- Ritva Rissanen
- Department of Global Public Health, Karolinska Institutet, Sweden
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Caffeine Intake and Its Sex-Specific Association with General Anxiety: A Cross-Sectional Analysis among General Population Adults. Nutrients 2022; 14:nu14061242. [PMID: 35334898 PMCID: PMC8951500 DOI: 10.3390/nu14061242] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/08/2022] [Accepted: 03/10/2022] [Indexed: 01/08/2023] Open
Abstract
(1) Background: Caffeine is one of the most consumed psychoactive stimulants worldwide. It has been suggested that caffeine intake at large doses can induce anxiety, whereas evidence of the role of low to moderate caffeine intake is scarce and inconsistent. Therefore, we aimed to assess the association between caffeine intake and general anxiety in adults recruited from the general population. (2) Methods: Participants from the French NutriNet-Santé web cohort with data on caffeine intake and general anxiety (assessed during 2013−2016 through the trait subscale of Spielberger’s State-Trait Anxiety Inventory Form Y; STAI-T, sex-specific top quartile = high trait anxiety) were included in this cross-sectional analysis (n = 24,197; 74.1% women; mean age = 53.7 ± 13.9 years). Mean dietary intake was estimated using ≥2 self-reported 24-h dietary records. Sex-specific tertiles of caffeine intake and low/high trait anxiety were calculated. Multivariable logistic regression models were fitted to assess the odds ratio (OR) and 95% confidence interval (CI) for the association between caffeine intake and general anxiety by sex. (3) Results: In the total sample, the mean caffeine intake (mg/day) from all dietary sources combined was 220.6 ± 165.0 (women = 212.4 ± 159.6; men = 243.8 ± 177.7, p < 0.01). Women in the highest tertile of caffeine intake showed significantly higher odds for high trait anxiety compared to those in the lowest tertile (reference), even after adjustment for potential confounders (OR: 1.13; 95% CI: 1.03−1.23). No significant associations were detected among men. Sensitivity analyses according to perceived stress level and sugar intake, respectively, showed similar results. (4) Conclusions: The results suggest that higher caffeine intake is associated with higher odds of general anxiety among women but not among men. Further research is needed to confirm the sex-specific findings and elucidate the potential causal relationship between caffeine intake and anxiety status.
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Debras C, Chazelas E, Srour B, Druesne-Pecollo N, Esseddik Y, Szabo de Edelenyi F, Agaësse C, De Sa A, Lutchia R, Gigandet S, Huybrechts I, Julia C, Kesse-Guyot E, Allès B, Andreeva VA, Galan P, Hercberg S, Deschasaux-Tanguy M, Touvier M. Artificial sweeteners and cancer risk: Results from the NutriNet-Santé population-based cohort study. PLoS Med 2022; 19:e1003950. [PMID: 35324894 PMCID: PMC8946744 DOI: 10.1371/journal.pmed.1003950] [Citation(s) in RCA: 89] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 02/23/2022] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND The food industry uses artificial sweeteners in a wide range of foods and beverages as alternatives to added sugars, for which deleterious effects on several chronic diseases are now well established. The safety of these food additives is debated, with conflicting findings regarding their role in the aetiology of various diseases. In particular, their carcinogenicity has been suggested by several experimental studies, but robust epidemiological evidence is lacking. Thus, our objective was to investigate the associations between artificial sweetener intakes (total from all dietary sources, and most frequently consumed ones: aspartame [E951], acesulfame-K [E950], and sucralose [E955]) and cancer risk (overall and by site). METHODS AND FINDINGS Overall, 102,865 adults from the French population-based cohort NutriNet-Santé (2009-2021) were included (median follow-up time = 7.8 years). Dietary intakes and consumption of sweeteners were obtained by repeated 24-hour dietary records including brand names of industrial products. Associations between sweeteners and cancer incidence were assessed by Cox proportional hazards models, adjusted for age, sex, education, physical activity, smoking, body mass index, height, weight gain during follow-up, diabetes, family history of cancer, number of 24-hour dietary records, and baseline intakes of energy, alcohol, sodium, saturated fatty acids, fibre, sugar, fruit and vegetables, whole-grain foods, and dairy products. Compared to non-consumers, higher consumers of total artificial sweeteners (i.e., above the median exposure in consumers) had higher risk of overall cancer (n = 3,358 cases, hazard ratio [HR] = 1.13 [95% CI 1.03 to 1.25], P-trend = 0.002). In particular, aspartame (HR = 1.15 [95% CI 1.03 to 1.28], P = 0.002) and acesulfame-K (HR = 1.13 [95% CI 1.01 to 1.26], P = 0.007) were associated with increased cancer risk. Higher risks were also observed for breast cancer (n = 979 cases, HR = 1.22 [95% CI 1.01 to 1.48], P = 0.036, for aspartame) and obesity-related cancers (n = 2,023 cases, HR = 1.13 [95% CI 1.00 to 1.28], P = 0.036, for total artificial sweeteners, and HR = 1.15 [95% CI 1.01 to 1.32], P = 0.026, for aspartame). Limitations of this study include potential selection bias, residual confounding, and reverse causality, though sensitivity analyses were performed to address these concerns. CONCLUSIONS In this large cohort study, artificial sweeteners (especially aspartame and acesulfame-K), which are used in many food and beverage brands worldwide, were associated with increased cancer risk. These findings provide important and novel insights for the ongoing re-evaluation of food additive sweeteners by the European Food Safety Authority and other health agencies globally. TRIAL REGISTRATION ClinicalTrials.gov NCT03335644.
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Affiliation(s)
- Charlotte Debras
- 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
- French Network for Nutrition and Cancer Research (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 (CRESS), Bobigny, France
- French Network for Nutrition and Cancer Research (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 of Paris (CRESS), Bobigny, France
- French Network for Nutrition and Cancer Research (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 (CRESS), Bobigny, France
- French Network for Nutrition and Cancer Research (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 (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 (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 (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 (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 (CRESS), Bobigny, France
| | | | - Inge Huybrechts
- French Network for Nutrition and Cancer Research (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 (CRESS), Bobigny, France
- Public Health Department, Avicenne Hospital, Assistance Publique–Hôpitaux de Paris, 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 (CRESS), Bobigny, France
- French Network for Nutrition and Cancer Research (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 (CRESS), 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), 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
- French Network for Nutrition and Cancer Research (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
- French Network for Nutrition and Cancer Research (NACRe network), Jouy-en-Josas, France
- Public Health Department, Avicenne Hospital, Assistance Publique–Hôpitaux de Paris, 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 of Paris (CRESS), Bobigny, France
- French Network for Nutrition and Cancer Research (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 (CRESS), Bobigny, France
- French Network for Nutrition and Cancer Research (NACRe network), Jouy-en-Josas, France
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Perceived Associations between Excessive Sugar Intake and Health Conditions. Nutrients 2022; 14:nu14030640. [PMID: 35276998 PMCID: PMC8839066 DOI: 10.3390/nu14030640] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 01/26/2022] [Accepted: 01/29/2022] [Indexed: 01/02/2023] Open
Abstract
Excessive sugar intake represents an increased risk of developing non-communicable diseases (e.g., obesity, cardiometabolic diseases, and dental diseases). Still, it is unclear whether people are aware of these adverse health outcomes. The current study systematically examined the extent to which people associate health conditions with excessive sugar intake. Participants (N = 1010 Portuguese volunteers) freely reported all health conditions they associated with excessive sugar consumption and rated the strength of these associations for eight specific health conditions. All participants reported health conditions associated with excessive sugar intake, with the most frequent being risk factors for cardiometabolic diseases (e.g., diabetes), cardiovascular diseases, oral problems, oncological and mental health conditions. Moreover, participants considered diabetes, overweight/obesity, and oral problems as being the conditions most related to excessive sugar intake. Women, participants with children in the household, and experts in health/nutrition rated excessive sugar intake as being more strongly linked to some of the health conditions. The identification of the health conditions that people associate with excessive sugar consumption may inform policymakers, educators, and health professionals and support interventions targeting the general public or specific groups (e.g., overweight people) in raising awareness of potential adverse health outcomes and, ultimately, contribute to reducing sugar intake.
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Bertocchio JP, Grosset N, Groussin L, Kamenický P, Larceneux F, Lienhardt-Roussie A, Linglart A, Maruani G, Mirallie E, Pattou F, Seervai RNH, Sido C, Silve C, Vilfaillot A, Tabarin A, Vantyghem MC, Houillier P. Practice patterns for chronic hypoparathyroidism: data from patients and physicians in France. Endocr Connect 2022; 11:EC-21-0350.R2. [PMID: 34939939 PMCID: PMC8859964 DOI: 10.1530/ec-21-0350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 12/23/2021] [Indexed: 11/28/2022]
Abstract
CONTEXT Recent guidelines have provided recommendations for the care of patients with chronic hypoparathyroidism. Very little is known about actual physicians' practices or their adherence to such guidelines. OBJECTIVE To describe the physicians' practice patterns and their compliance with international guidelines. DESIGN The cohort studies included were Épi-Hypo (118 physicians and 107 patients, from September 2016 to December 2019) and ePatients (110 patients, November 2019). METHODS Internet-based cohorts involving all settings at a nationwide level (France). Participants were (i) physicians treating patients with chronic hypoparathyroidism and patients with chronic hypoparathyroidism either participating in the (ii) Épi-Hypo study (Épi-Hypo 2019 patients), or (iii) Hypoparathyroidism France, the national representative association (ePatients). RESULTS The physicians' specialties were mainly endocrinology (61%), nephrology (28%), family medicine (2.5%), pediatrics (2.5%), rheumatology (2%), or miscellaneous (4%) and 45% were practicing in public universities. The median number of pharmaceutical drug classes prescribed was three per patient. The combination of active vitamin D and calcium salt was given to 59 and 58% of ePatients and Épi-Hypo 2019 patients, respectively. Eighty-five percent of ePatients and 87% of physicians reported monitoring plasma calcium concentrations at a steady state at least twice a year. In 32 and 26% of cases, respectively, ePatients and physicians reported being fully in accordance with international guidelines that recommend targeting symptoms, plasma calcium and phosphate values, and urine calcium excretion. CONCLUSIONS The care of patients with chronic hypoparathyroidism involves physicians with very different practices, so guidelines should include and target other specialists as well as endocrinologists. Full adherence to the guidelines is low in France.
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Affiliation(s)
- Jean-Philippe Bertocchio
- Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Service de Physiologie, Paris, France
- Centre de Référence des Maladies Rares du Calcium et du Phosphore Filière de Santé Maladies Rares OSCAR, Paris, France
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, Université de Paris, INSERM, UMRS1138, Paris, France
- Correspondence should be addressed to J-P Bertocchio or P Houillier: or
| | | | - Lionel Groussin
- Department of Endocrinology, Assistance Publique-Hôpitaux de Paris, Hôpital Cochin, Université de Paris, Paris, France
| | - Peter Kamenický
- Université Paris-Saclay, Inserm U1185, Physiologie et Physiopathologie Endocriniennes, Assistance Publique-Hôpitaux de Paris, Hôpital Bicêtre, Service d’Endocrinologie et des Maladies de la Reproduction, Centre de Référence des Maladies Rares du Métabolisme du Calcium et du Phosphate, Le Kremlin-Bicêtre, France
| | - Fabrice Larceneux
- Université Paris-Dauphine, PSL Research University, CNRS, UMR 7088, DRM [Ermes], Paris, France
| | | | - Agnès Linglart
- Centre de Référence des Maladies Rares du Calcium et du Phosphore Filière de Santé Maladies Rares OSCAR, Paris, France
- Université Paris-Saclay, Inserm U1185, Physiologie et Physiopathologie Endocriniennes, Assistance Publique-Hôpitaux de Paris, Service d’Endocrinologie et Diabète de l’Enfant, Centre de Référence des Maladies Rares du Calcium et du Phosphore et Filière de Santé Maladies Rares OSCAR, Hôpital Bicêtre Paris Saclay, Le Kremlin-Bicêtre, France
| | - Gérard Maruani
- Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Service de Physiologie, Paris, France
- Centre de Référence des Maladies Rares du Calcium et du Phosphore Filière de Santé Maladies Rares OSCAR, Paris, France
- Assistance Publique-Hôpitaux de Paris, Institut Necker-Enfants Malades, INSERM U1151 – CNRS UMR 8253, Paris, France
| | - Eric Mirallie
- Chirurgie Cancérologique, Digestive et Endocrine, Institut des Maladies de l’Appareil Digestif, Hôtel Dieu, CHU Nantes, France
- Association Francophone de Chirurgie Endocrinienne (AFCE), France
| | - François Pattou
- Université de Lille, CHU Lille, Institut Pasteur Lille, Inserm U1190, Lille, France
| | - Riyad N H Seervai
- Molecular & Cellular Biology Graduate Program, Medical Scientist Training Program, Baylor College of Medicine, Houston, Texas, USA
| | | | - Caroline Silve
- Centre de Référence des Maladies Rares du Calcium et du Phosphore Filière de Santé Maladies Rares OSCAR, Paris, France
- Assistance Publique-Hôpitaux de Paris, Hôpital Cochin, Biochimie et Génétique Moléculaires, Paris, France
- INSERM, U1169, Université Paris Sud, Hôpital Bicêtre, Le Kremlin Bicêtre, France
| | - Aurélie Vilfaillot
- Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Unité de Recherche Clinique, Paris, France
- INSERM, U1418, CIC-EC, Hôpital Européen Georges Pompidou, Paris, France
| | - Antoine Tabarin
- Service Endocrinologie Diabète et Nutrition, CHU de Bordeaux, Université de Bordeaux, Pessac, France
| | - Marie-Christine Vantyghem
- CHU Lille, Department of Endocrinology, Diabetology and Metabolism, Inserm U1190, EGID, Lille, France
| | - Pascal Houillier
- Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Service de Physiologie, Paris, France
- Centre de Référence des Maladies Rares du Calcium et du Phosphore Filière de Santé Maladies Rares OSCAR, Paris, France
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, Université de Paris, INSERM, UMRS1138, Paris, France
- CNRS, ERL8228, Paris, France
- Correspondence should be addressed to J-P Bertocchio or P Houillier: or
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Deschasaux-Tanguy M, Barrubés Piñol L, Sellem L, Debras C, Srour B, Chazelas E, Wendeu-Foyet G, Hercberg S, Galan P, Kesse-Guyot E, Julia C, Babio Sánchez NE, Salas Salvadó J, Touvier M. Dairy product consumption and risk of cancer: a short report from the NutriNet-Santé prospective cohort study. Int J Cancer 2022; 150:1978-1986. [PMID: 35041764 DOI: 10.1002/ijc.33935] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 12/19/2021] [Accepted: 01/05/2022] [Indexed: 12/24/2022]
Abstract
The impact of dairy product consumption for long-term health remains unclear, in particular regarding their involvement in cancer etiology for frequent locations like breast or prostate. Besides, little is known about potentially different effects of dairy producto subtypes. Our objective was therefore to evaluate the associations between dairy product consumption (total and subtypes) and cancer risk. A total of 101,279 participants from the French NutriNet-Santé cohort study were included (78.7% women; mean (SD) age=42.2 (14.5) years). Dairy product consumption was assessed using validated web-based 24-hour dietary records. Multi-adjusted Cox models were computed. After a median [interquartile range] follow-up time of 5.9 [2.7-8.3] years, we documented 2,503 incident cancer cases (783 breast, 323 prostate, and 182 colorectal cancers). Total dairy product consumption was not significantly associated with cancer. However, the consumption of "fromage blanc" (a French type of quark/cottage cheese) was associated with an increased risk of cancer overall [HR for 1 serving increment (95% CI)=1.11 (1.01-1.21); P-trend=0.03] and of colorectal cancer [HR=1.39 (1.09-1.77); P-trend<0.01]. Besides, sugary dairy dessert consumption was directly associated with colorectal cancer risk [HR for 1 serving increment=1.58 (1.01-2.46); P-trend=0.046]. No association was observed between the consumption of dairy products or sugary dairy desserts and the risk of prostate and breast cancers. In our study, the consumption of dairy products was not associated with the risk of overall, colorectal, breast or prostate cancers. The consumption of "fromage blanc" and sugary dairy desserts were associated to an increased risk of colorectal cancer, but this warrants further investigations.
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Affiliation(s)
- 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 (CRESS), Bobigny, France.,French network for Nutrition And Cancer Research (NACRe network), Jouy-en-Josas, France
| | - Laura Barrubés Piñol
- 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.,Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Sant Joan de Reus, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Laury Sellem
- 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
| | - Charlotte Debras
- 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.,French network for Nutrition And Cancer Research (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 of Paris (CRESS), Bobigny, France.,French network for Nutrition And Cancer Research (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 (CRESS), Bobigny, France.,French network for Nutrition And Cancer Research (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 of Paris (CRESS), Bobigny, France.,French network for Nutrition And Cancer Research (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.,French network for Nutrition And Cancer Research (NACRe network), Jouy-en-Josas, France.,Public Health Department, Avicenne Hospital, 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 of Paris (CRESS), 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 (CRESS), Bobigny, 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 (CRESS), Bobigny, France.,Public Health Department, Avicenne Hospital, AP-HP, Bobigny, France
| | - Nancy Elvira Babio Sánchez
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Sant Joan de Reus, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Jordi Salas Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Sant Joan de Reus, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud 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.,French network for Nutrition And Cancer Research (NACRe network), Jouy-en-Josas, France
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Joyal-Desmarais K, Stojanovic J, Kennedy EB, Enticott JC, Boucher VG, Vo H, Košir U, Lavoie KL, Bacon SL, Granana N, Losada AV, Boyle J, Shawon SR, Dawadi S, Teede H, Kautzky-Willer A, Dash A, Cornelio ME, Karsten M, Matte DL, Reichert F, Abou-Setta A, Aaron S, Alberga A, Barnett T, Barone S, Bélanger-Gravel A, Bernard S, Birch LM, Bondy S, Booij L, Da Silva RB, Bourbeau J, Burns R, Campbell T, Carlson L, Charbonneau É, Corace K, Drouin O, Ducharme F, Farhadloo M, Falk C, Fleet R, Fournier M, Garber G, Gauvin L, Gordon J, Grad R, Gupta S, Hellemans K, Herba C, Hwang H, Jedwab J, Kakinami L, Kim S, Liu J, Norris C, Pelaez S, Pilote L, Poirier P, Presseau J, Puterman E, Rash J, Ribeiro PAB, Sadatsafavi M, Chaudhuri PS, Suarthana E, Tse S, Vallis M, Caceres NB, Ortiz M, Repetto PB, Lemos-Hoyos M, Kassianos A, Rod NH, Beraneck M, Ninot G, Ditzen B, Kubiak T, Codjoe S, Kpobi L, Laar A, Skoura T, Francis DL, Devi NK, Meitei S, Nethan ST, Pinto L, Saraswathy KN, Tumu D, Lestari S, Wangge G, Byrne M, Durand H, McSharry J, Meade O, Molloy G, Noone C, Levine H, Zaidman-Zait A, Boccia S, Hoxhaj I, Paduano S, Raparelli V, Zaçe D, Aburub A, Akunga D, Ayah R, Barasa C, Godia PM, Kimani-Murage EW, Mutuku N, Mwoma T, Naanyu V, Nyamari J, Oburu H, Olenja J, Ongore D, Ziraba A, Bandawe C, Yim L, Ajuwon A, Shar NA, Usmani BA, Martínez RMB, Creed-Kanashiro H, Simão P, Rutayisire PC, Bari AZ, Vojvodic K, Nagyova I, Bantjes J, Barnes B, Coetzee B, Khagee A, Mothiba T, Roomaney R, Swartz L, Cho J, Lee MG, Berman A, Stattin NS, Fischer S, Hu D, Kara Y, Şimşek C, Üzmezoğlu B, Isunju JB, Mugisha J, Byrne-Davis L, Griffiths P, Hart J, Johnson W, Michie S, Paine N, Petherick E, Sherar L, Bilder RM, Burg M, Czajkowski S, Freedland K, Gorin SS, Holman A, Lee J, Lopez G, Naar S, Okun M, Powell L, Pressman S, Revenson T, Ruiz J, Sivaram S, Thrul J, Trudel-Fitzgerald C, Yohannes A, Navani R, Ranakombu K, Neto DH, Ben-Porat T, Dragomir A, Gagnon-Hébert A, Gemme C, Jamil M, Käfer LM, Vieira AM, Tasbih T, Woods R, Yousefi R, Roslyakova T, Priesterroth L, Edelstein S, Snir R, Uri Y, Alyami M, Sanuade C, Crescenzi O, Warkentin K, Grinko K, Angne L, Jain J, Mathur N, Mithe A, Nethan S. How well do covariates perform when adjusting for sampling bias in online COVID-19 research? Insights from multiverse analyses. Eur J Epidemiol 2022; 37:1233-1250. [PMID: 36335560 PMCID: PMC9638233 DOI: 10.1007/s10654-022-00932-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 10/06/2022] [Indexed: 11/07/2022]
Abstract
COVID-19 research has relied heavily on convenience-based samples, which-though often necessary-are susceptible to important sampling biases. We begin with a theoretical overview and introduction to the dynamics that underlie sampling bias. We then empirically examine sampling bias in online COVID-19 surveys and evaluate the degree to which common statistical adjustments for demographic covariates successfully attenuate such bias. This registered study analysed responses to identical questions from three convenience and three largely representative samples (total N = 13,731) collected online in Canada within the International COVID-19 Awareness and Responses Evaluation Study ( www.icarestudy.com ). We compared samples on 11 behavioural and psychological outcomes (e.g., adherence to COVID-19 prevention measures, vaccine intentions) across three time points and employed multiverse-style analyses to examine how 512 combinations of demographic covariates (e.g., sex, age, education, income, ethnicity) impacted sampling discrepancies on these outcomes. Significant discrepancies emerged between samples on 73% of outcomes. Participants in the convenience samples held more positive thoughts towards and engaged in more COVID-19 prevention behaviours. Covariates attenuated sampling differences in only 55% of cases and increased differences in 45%. No covariate performed reliably well. Our results suggest that online convenience samples may display more positive dispositions towards COVID-19 prevention behaviours being studied than would samples drawn using more representative means. Adjusting results for demographic covariates frequently increased rather than decreased bias, suggesting that researchers should be cautious when interpreting adjusted findings. Using multiverse-style analyses as extended sensitivity analyses is recommended.
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Affiliation(s)
- Keven Joyal-Desmarais
- Department of Health, Kinesiology and Applied Physiology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC H4B 1R6 Canada ,Montreal Behavioural Medicine Centre, CIUSSS-NIM, Montreal, Canada
| | - Jovana Stojanovic
- Montreal Behavioural Medicine Centre, CIUSSS-NIM, Montreal, Canada ,Canadian Agency for Drugs and Technologies in Health, Ottawa, Canada
| | - Eric B. Kennedy
- Disaster and Emergency Management, York University, Toronto, Canada
| | - Joanne C. Enticott
- Department of General Practice, Monash University, Melbourne, Australia ,Monash Partners, Advanced Health Research and Translation Centre, Melbourne, Australia
| | | | - Hung Vo
- Austin Health, Victoria, Australia
| | - Urška Košir
- Department of Health, Kinesiology and Applied Physiology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC H4B 1R6 Canada ,Montreal Behavioural Medicine Centre, CIUSSS-NIM, Montreal, Canada
| | - Kim L. Lavoie
- Montreal Behavioural Medicine Centre, CIUSSS-NIM, Montreal, Canada ,Département de Psychologie, Université du Québec à Montréal, Montreal, Canada
| | - Simon L. Bacon
- Department of Health, Kinesiology and Applied Physiology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC H4B 1R6 Canada ,Montreal Behavioural Medicine Centre, CIUSSS-NIM, Montreal, Canada
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Kose J, Paz Graniel I, Péneau S, Julia C, Hercberg S, Galan P, Touvier M, Andreeva VA. A population-based study of macronutrient intake according to mental health status with a focus on pure and comorbid anxiety and eating disorders. Eur J Nutr 2022; 61:3685-3696. [PMID: 35678893 PMCID: PMC9178539 DOI: 10.1007/s00394-022-02923-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 05/24/2022] [Indexed: 11/28/2022]
Abstract
PURPOSE Eating disorders (ED) and anxiety impact food choices. In addition, comorbid anxiety seems to increase ED symptoms and severity. However, the association between such comorbidity and dietary intake is unknown. This population-based, cross-sectional study aimed to assess macronutrient intake according to mental health status (i.e., no disorder, pure and comorbid anxiety and ED). METHODS The study included N = 24,771 participants (74% female, mean age = 53.2 ± 13.7 years) in the NutriNet-Santé cohort, who completed once the trait subscale of the State-Trait Anxiety Inventory (STAI-T; high anxiety: ≥ 40 points) between 2013 and 2016 and the SCOFF questionnaire screening for ED in 2014. The Expali algorithm was applied to categorize ED (no ED; restrictive: RS; bulimic: BL; hyperphagic: HP; other ED). Participants were divided into ten groups by crossing their anxiety status (two groups: low or high) and their ED status (five groups). Macronutrient intakes were evaluated from ≥ 3 24-h dietary records. Analyses of covariance (ANCOVA) and Dunnett-Hsu tests (reference = no disorder) were performed. RESULTS Significant differences in macronutrient intake were seen between the pure and comorbid forms, especially for RS and HP. Compared to the "no disorder" group, a significantly higher percentage of energy from carbohydrates, higher intakes of total carbohydrates, simple sugars, and plant-based protein, lower intakes of total fat, saturated and monounsaturated fatty acids, and cholesterol were observed in the comorbid anxiety + RS group, but not in the pure RS group. In contrast, significantly lower intakes of added sugar and plant-based protein, and a higher intake of cholesterol were observed in the pure HP group, but not in the comorbid anxiety + HP group. For BL and other ED, similar results were observed between the pure and comorbid forms. CONCLUSION This large epidemiological study provided some support for differences in macronutrient intake between individuals with pure or comorbid anxiety and ED. Differences in intake were largely dependent on ED type. Future prospective studies and studies using clinically defined anxiety and ED are needed to elucidate causality as well as potential effect modification of the observed associations.
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Affiliation(s)
- Junko Kose
- Nutritional Epidemiology Research Unit, Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS), University of Paris, SMBH, 74 Rue Marcel Cachin, 93017 Bobigny, France
| | - Indira Paz Graniel
- Human Nutrition Unit, Department of Biochemistry and Biotechnology, Rovira i Virgili University, Reus, Spain ,Pere Virgili Institute for Health Research (IISPV), Reus, Spain ,CIBER Physiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain
| | - Sandrine Péneau
- Nutritional Epidemiology Research Unit, Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS), University of Paris, SMBH, 74 Rue Marcel Cachin, 93017 Bobigny, France
| | - Chantal Julia
- Nutritional Epidemiology Research Unit, Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS), University of Paris, SMBH, 74 Rue Marcel Cachin, 93017 Bobigny, France ,Department of Public Health, AP-HP Paris Seine-Saint-Denis Hospital System, Bobigny, France
| | - Serge Hercberg
- Nutritional Epidemiology Research Unit, Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS), University of Paris, SMBH, 74 Rue Marcel Cachin, 93017 Bobigny, France ,Department of Public Health, AP-HP Paris Seine-Saint-Denis Hospital System, Bobigny, France
| | - Pilar Galan
- Nutritional Epidemiology Research Unit, Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS), University of Paris, SMBH, 74 Rue Marcel Cachin, 93017 Bobigny, France
| | - Mathilde Touvier
- Nutritional Epidemiology Research Unit, Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS), University of Paris, SMBH, 74 Rue Marcel Cachin, 93017 Bobigny, France
| | - Valentina A. Andreeva
- Nutritional Epidemiology Research Unit, Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Sorbonne Paris Nord University, INSERM U1153/INRAE U1125/CNAM, Epidemiology and Statistics Research Center (CRESS), University of Paris, SMBH, 74 Rue Marcel Cachin, 93017 Bobigny, France
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Prada M, Saraiva M, Sério A, Coelho S, Godinho CA, Garrido MV. The impact of sugar-related claims on perceived healthfulness, caloric value and expected taste of food products. Food Qual Prefer 2021. [DOI: 10.1016/j.foodqual.2021.104331] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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48
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Debras C, Chazelas E, Srour B, Julia C, Schneider É, Kesse-Guyot E, Agaësse C, Druesne-Pecollo N, Andreeva VA, Wendeu-Foyet G, Galan P, Hercberg S, Deschasaux-Tanguy M, Touvier M. Fermentable Oligosaccharides, Disaccharides, Monosaccharides and Polyols (FODMAPs) and cancer risk in the prospective NutriNet-Santé cohort. J Nutr 2021; 152:1059-1069. [PMID: 36967163 DOI: 10.1093/jn/nxab379] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/02/2021] [Accepted: 10/25/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Fermentable Oligosaccharides, Disaccharides and Monosaccharides And Polyols (FODMAPs) have been shown to be involved in gastrointestinal disorders. In view of their pro-inflammatory potential and their interactions with the gut microbiota, their contribution to the etiology of other chronic diseases such as cancer has been postulated. However, no epidemiological study has investigated this hypothesis so far. OBJECTIVE Our objective was to investigate the associations between FODMAP intake (total and by type) and cancer risk (overall, breast, prostate and colorectal) in a large prospective cohort. DESIGN The study was based on the NutriNet-Santé cohort (2009-2020); 104,909 adult participants without cancer at baseline were included in our analyses (median follow-up time = 7.7y, 78.7% women, mean age at baseline 42.1y (SD = 14.5)). Baseline dietary intakes were obtained from repeated 24h-dietary records linked to a detailed food composition table. Associations between FODMAP intake (expressed in quintiles, Q) and cancer risks were assessed by Cox proportional hazard models adjusted for a large range of lifestyle, sociodemographic and anthropometric variables. RESULTS Total FODMAP intake was associated with increased overall cancer risk (n = 3374 incident cases, HR for sex-specific Quintile 5 versus Quintile 1: 1.21; 95%CI: 1.02, 1.44; P-trend = 0.04). In particular, oligosaccharides were associated with cancer risk: a trend was observed for overall cancer (HR Q5 vs. Q1: 1.10; 95%CI: 0.97, 1.25; P-trend = 0.04) and colorectal cancer (n = 272, HR Q5 vs. Q1: 1.78; 95%CI: 1.13-2.79; P-trend = 0.02). CONCLUSION Results from this large population-based study on French adults from the NutriNet-Santé cohort show a significant association between FODMAP intake and the risk of cancer development. Further epidemiological and experimental studies are needed to confirm these results and provide data on the potential underlying mechanisms.
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Affiliation(s)
- Charlotte Debras
- 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; French Network for Nutrition AND Cancer Research (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 (CRESS), Bobigny, France; French Network for Nutrition AND Cancer Research (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 of Paris (CRESS), Bobigny, France; French Network for Nutrition AND Cancer Research (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 of Paris (CRESS), Bobigny, France; Public Health Department, Avicenne Hospital, AP-HP, Bobigny, France
| | - Élodie Schneider
- 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
| | - 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; French Network for Nutrition AND Cancer Research (NACRe network), Jouy-en-Josas, 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 (CRESS), Bobigny, 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 (CRESS), Bobigny, France; French Network for Nutrition AND Cancer Research (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
| | - Gaëlle Wendeu-Foyet
- 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; French Network for Nutrition AND Cancer Research (NACRe network), Jouy-en-Josas, 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
| | - 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; French Network for Nutrition AND Cancer Research (NACRe network), Jouy-en-Josas, France; Public Health Department, Avicenne Hospital, 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 of Paris (CRESS), Bobigny, France; French Network for Nutrition AND Cancer Research (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 (CRESS), Bobigny, France; French Network for Nutrition AND Cancer Research (NACRe network), Jouy-en-Josas, France
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Kesse-Guyot E, Lairon D, Allès B, Seconda L, Rebouillat P, Brunin J, Vidal R, Taupier-Letage B, Galan P, Amiot MJ, Péneau S, Touvier M, Boizot-Santai C, Ducros V, Soler LG, Cravedi JP, Debrauwer L, Hercberg S, Langevin B, Pointereau P, Baudry J. Key Findings of the French BioNutriNet Project on Organic Food-Based Diets: Description, Determinants, and Relationships to Health and the Environment. Adv Nutr 2021; 13:208-224. [PMID: 34661620 PMCID: PMC8803492 DOI: 10.1093/advances/nmab105] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 06/26/2021] [Accepted: 08/30/2021] [Indexed: 11/13/2022] Open
Abstract
Few studies have investigated the relationships between organic food consumption, dietary patterns, monetary diet cost, health, and the environment. To address these issues, a consortium of French epidemiologists, nutritionists, economists, and toxicologists launched the BioNutriNet project in 2013. In 2014, an FFQ documented the usual organic and nonorganic (conventional) food consumption of approximately 35,000 NutriNet-Santé participants. Then, individual organic and conventional food intakes were merged with price, environmental, and pesticide residue data sets, which distinguished between conventional and organic farming methods. Many studies were conducted to characterize organic consumers and their environmental impacts (i.e., greenhouse gas emissions, energy demand, and land use) and organic food consumption impacts on health. We observed that organic consumers had diets that were healthier and richer in plant-based food than nonorganic consumers. Their diets were associated with higher monetary costs, lower environmental impacts, and reduced exposure to certain pesticide residues. Regular consumption of organic food was associated with reduced risks of obesity, type 2 diabetes, postmenopausal breast cancer, and lymphoma. Although several observations have been confirmed by several studies conducted in other countries, our results should be replicated in other cultural settings and coupled with experimental studies to be able to draw causal conclusions. Finally, the main finding of the BioNutriNet project is that while organic food consumption could be associated with positive externalities on human health and the environment, organic-based diets should be accompanied by dietary shifts toward plant-based diets to allow for better planetary and human health.
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Affiliation(s)
| | - Denis Lairon
- Aix Marseille University, INSERM, INRAE, Centre for Cardiovascular Research and Nutrition (C2VN), Marseille, France
| | - Benjamin Allès
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
| | - Louise Seconda
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France,Agency for the Environment and Energy Management (ADEME), Angers, France
| | - Pauline Rebouillat
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
| | - Joséphine Brunin
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France,Agency for the Environment and Energy Management (ADEME), Angers, France
| | | | | | - Pilar Galan
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
| | - Marie-Josèphe Amiot
- MOISA, INRAE, International Cooperation in Agricultural Research for Development (CIRAD), International Centre for Advanced Mediterranean Agronomic Studies (CIHEAM), Institut Agro-SupAgro (SUPAGRO), Montpellier University, Montpellier, France
| | - Sandrine Péneau
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
| | | | - Véronique Ducros
- Biochemistry Department, Grenoble-Alpes Hospital, Grenoble, France
| | | | - Jean-Pierre Cravedi
- Toxalim, Toulouse University, INRAE, National Veterinary School (ENVT), National Polytechnic Institute of Toulouse-Purpan, Paul Sabatier University, Toulouse, France
| | - Laurent Debrauwer
- Toxalim, Toulouse University, INRAE, National Veterinary School (ENVT), National Polytechnic Institute of Toulouse-Purpan, Paul Sabatier University, Toulouse, France
| | - Serge Hercberg
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
| | | | | | - Julia Baudry
- Sorbonne Paris Nord University, National Institute of Health and Medical Research (INSERM), National Research Institute for Agriculture, Food, and the Environment (INRAE), National Conservatory of Arts and Crafts (CNAM), Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center–University of Paris (CRESS), Bobigny, France
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50
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Chazelas E, Druesne-Pecollo N, Esseddik Y, de Edelenyi FS, Agaesse C, De Sa A, Lutchia R, Rebouillat P, Srour B, Debras C, Wendeu-Foyet G, Huybrechts I, Pierre F, Coumoul X, Julia C, Kesse-Guyot E, Allès B, Galan P, Hercberg S, Deschasaux-Tanguy M, Touvier M. Exposure to food additive mixtures in 106,000 French adults from the NutriNet-Santé cohort. Sci Rep 2021; 11:19680. [PMID: 34608173 PMCID: PMC8490357 DOI: 10.1038/s41598-021-98496-6] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 07/28/2021] [Indexed: 11/11/2022] Open
Abstract
Food additives (e.g. artificial sweeteners, emulsifiers, dyes, etc.) are ingested by billions of individuals daily. Some concerning results, mainly derived from animal and/or cell-based experimental studies, have recently emerged suggesting potential detrimental effects of several widely consumed additives. Profiles of additive exposure as well as the potential long-term impact of multiple exposure on human health are poorly documented. This work aimed to estimate the usual intake of food additives among participants of the French NutriNet-Santé cohort and to identify and describe profiles of exposure (single substances and mixtures). Overall, 106,489 adults from the French NutriNet-Santé cohort study (2009-ongoing) were included. Consumption of 90 main food additives was evaluated using repeated 24 h dietary records including information on brands of commercial products. Qualitative information (as presence/absence) of each additive in food products was determined using 3 large-scale composition databases (OQALI, Open Food Facts, GNPD), accounting for the date of consumption of the product. Quantitative ingested doses were estimated using a combination of laboratory assays on food matrixes (n = 2677) and data from EFSA and JECFA. Exposure was estimated in mg per kg of body weight per day. Profiles of exposure to food additive mixtures were extracted using Non-negative Matrix Factorization (NMF) followed by k-means clustering as well as Graphical Lasso. Sociodemographic and dietary comparison of clusters of participants was performed by Chi-square tests or linear regressions. Data were weighted according to the national census. Forty-eight additives were consumed by more than 10% of the participants, with modified starches and citric acid consumed by more than 90%. The top 50 also included several food additives for which potential adverse health effects have been suggested by recent experimental studies: lecithins (86.6% consumers), mono- and diglycerides of fatty acids (78.1%), carrageenan (77.5%), sodium nitrite (73.9%), di-, tri- and polyphosphates (70.1%), potassium sorbate (65.8%), potassium metabisulphite (44.8%), acesulfame K (34.0%), cochineal (33.9%), potassium nitrate (31.6%), sulfite ammonia caramel (28.8%), bixin (19.5%), monosodium glutamate (15.1%) and sucralose (13.5%). We identified and described five clusters of participants more specifically exposed to five distinct additive mixtures and one additional cluster gathering participants with overall low additive exposure. Food additives, including several for which health concerns are currently debated, were widely consumed in this population-based study. Furthermore, main mixtures of additives were identified. Their health impact and potential cocktail effects should be explored in future epidemiological and experimental studies.
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Affiliation(s)
- Eloi Chazelas
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France.
- French Network for Nutrition And Cancer Research (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 (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France
- French Network for Nutrition And Cancer Research (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 (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, 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 (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France
| | - Cédric Agaesse
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, 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 (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, 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 (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France
| | - Pauline Rebouillat
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France
- French Network for Nutrition And Cancer Research (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 of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France
- French Network for Nutrition And Cancer Research (NACRe Network), Jouy-en-Josas, 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 (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France
- French Network for Nutrition And Cancer Research (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 of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France
- French Network for Nutrition And Cancer Research (NACRe Network), Jouy-en-Josas, France
| | - Inge Huybrechts
- French Network for Nutrition And Cancer Research (NACRe Network), Jouy-en-Josas, France
- International Agency for Research On Cancer, World Health Organization, Lyon, France
| | - Fabrice Pierre
- French Network for Nutrition And Cancer Research (NACRe Network), Jouy-en-Josas, France
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Xavier Coumoul
- French Network for Nutrition And Cancer Research (NACRe Network), Jouy-en-Josas, France
- UMR-S1124, Institut national de la santé et de la recherché médicale (Inserm), T3S, Toxicologie Environnementale, Cibles thérapeutiques, Signalisation cellulaire et Biomarqueurs, Paris, France
- Université de Paris, Paris, 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 (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France
- French Network for Nutrition And Cancer Research (NACRe Network), Jouy-en-Josas, 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 (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France
- French Network for Nutrition And Cancer Research (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 (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, 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), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France
- French Network for Nutrition And Cancer Research (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), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France
- French Network for Nutrition And Cancer Research (NACRe Network), Jouy-en-Josas, France
- Public Health Department, Avicenne Hospital, 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 of Paris (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France
- French Network for Nutrition And Cancer Research (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 (CRESS), SMBH, Paris 13, 74 rue Marcel Cachin, 93017, Bobigny, Cedex, France
- French Network for Nutrition And Cancer Research (NACRe Network), Jouy-en-Josas, France
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