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Your search keyword '"De Magistris, Maria Santucci"' showing total 5 results
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5 results on '"De Magistris, Maria Santucci"'

1. Dietary polyphenol intake in Europe: the European Prospective Investigation into Cancer and Nutrition (EPIC) study.

Author

Zamora-Ros R, Knaze V, Rothwell JA, Hémon B, Moskal A, Overvad K, Tjønneland A, Kyrø C, Fagherazzi G, Boutron-Ruault MC, Touillaud M, Katzke V, Kühn T, Boeing H, Förster J, Trichopoulou A, Valanou E, Peppa E, Palli D, Agnoli C, Ricceri F, Tumino R, de Magistris MS, Peeters PH, Bueno-de-Mesquita HB, Engeset D, Skeie G, Hjartåker A, Menéndez V, Agudo A, Molina-Montes E, Huerta JM, Barricarte A, Amiano P, Sonestedt E, Nilsson LM, Landberg R, Key TJ, Khaw KT, Wareham NJ, Lu Y, Slimani N, Romieu I, Riboli E, and Scalbert A

Subjects
Adult, Aged, Body Mass Index, Coffee chemistry, Cross-Sectional Studies, Europe, Exercise, Female, Flavonoids administration & dosage, Food Analysis, Food Handling, Fruit chemistry, Humans, Hydroxybenzoates administration & dosage, Life Style, Male, Mental Recall, Middle Aged, Proanthocyanidins administration & dosage, Prospective Studies, Socioeconomic Factors, Tea chemistry, Diet, Nutrition Assessment, Polyphenols administration & dosage
Abstract

Background/objectives: Polyphenols are plant secondary metabolites with a large variability in their chemical structure and dietary occurrence that have been associated with some protective effects against several chronic diseases. To date, limited data exist on intake of polyphenols in populations. The current cross-sectional analysis aimed at estimating dietary intakes of all currently known individual polyphenols and total intake per class and subclass, and to identify their main food sources in the European Prospective Investigation into Cancer and Nutrition cohort., Methods: Dietary data at baseline were collected using a standardized 24-h dietary recall software administered to 36,037 adult subjects. Dietary data were linked with Phenol-Explorer, a database with data on 502 individual polyphenols in 452 foods and data on polyphenol losses due to cooking and food processing., Results: Mean total polyphenol intake was the highest in Aarhus-Denmark (1786 mg/day in men and 1626 mg/day in women) and the lowest in Greece (744 mg/day in men and 584 mg/day in women). When dividing the subjects into three regions, the highest intake of total polyphenols was observed in the UK health-conscious group, followed by non-Mediterranean (non-MED) and MED countries. The main polyphenol contributors were phenolic acids (52.5-56.9 %), except in men from MED countries and in the UK health-conscious group where they were flavonoids (49.1-61.7 %). Coffee, tea, and fruits were the most important food sources of total polyphenols. A total of 437 different individual polyphenols were consumed, including 94 consumed at a level >1 mg/day. The most abundant ones were the caffeoylquinic acids and the proanthocyanidin oligomers and polymers., Conclusion: This study describes the large number of dietary individual polyphenols consumed and the high variability of their intakes between European populations, particularly between MED and non-MED countries.

Published
2016
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2. Nutrient patterns and their food sources in an International Study Setting: report from the EPIC study.

Author

Moskal A, Pisa PT, Ferrari P, Byrnes G, Freisling H, Boutron-Ruault MC, Cadeau C, Nailler L, Wendt A, Kühn T, Boeing H, Buijsse B, Tjønneland A, Halkjær J, Dahm CC, Chiuve SE, Quirós JR, Buckland G, Molina-Montes E, Amiano P, Huerta Castaño JM, Gurrea AB, Khaw KT, Lentjes MA, Key TJ, Romaguera D, Vergnaud AC, Trichopoulou A, Bamia C, Orfanos P, Palli D, Pala V, Tumino R, Sacerdote C, de Magistris MS, Bueno-de-Mesquita HB, Ocké MC, Beulens JW, Ericson U, Drake I, Nilsson LM, Winkvist A, Weiderpass E, Hjartåker A, Riboli E, and Slimani N

Subjects
Adult, Aged, Diet, Europe epidemiology, Feeding Behavior, Female, Food, Humans, Life Style, Male, Middle Aged, Prospective Studies, Public Health Surveillance, Socioeconomic Factors, Surveys and Questionnaires, Food Analysis, Nutrition Assessment
Abstract

Background: Compared to food patterns, nutrient patterns have been rarely used particularly at international level. We studied, in the context of a multi-center study with heterogeneous data, the methodological challenges regarding pattern analyses., Methodology/principal Findings: We identified nutrient patterns from food frequency questionnaires (FFQ) in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study and used 24-hour dietary recall (24-HDR) data to validate and describe the nutrient patterns and their related food sources. Associations between lifestyle factors and the nutrient patterns were also examined. Principal component analysis (PCA) was applied on 23 nutrients derived from country-specific FFQ combining data from all EPIC centers (N = 477,312). Harmonized 24-HDRs available for a representative sample of the EPIC populations (N = 34,436) provided accurate mean group estimates of nutrients and foods by quintiles of pattern scores, presented graphically. An overall PCA combining all data captured a good proportion of the variance explained in each EPIC center. Four nutrient patterns were identified explaining 67% of the total variance: Principle component (PC) 1 was characterized by a high contribution of nutrients from plant food sources and a low contribution of nutrients from animal food sources; PC2 by a high contribution of micro-nutrients and proteins; PC3 was characterized by polyunsaturated fatty acids and vitamin D; PC4 was characterized by calcium, proteins, riboflavin, and phosphorus. The nutrients with high loadings on a particular pattern as derived from country-specific FFQ also showed high deviations in their mean EPIC intakes by quintiles of pattern scores when estimated from 24-HDR. Center and energy intake explained most of the variability in pattern scores., Conclusion/significance: The use of 24-HDR enabled internal validation and facilitated the interpretation of the nutrient patterns derived from FFQs in term of food sources. These outcomes open research opportunities and perspectives of using nutrient patterns in future studies particularly at international level.

Published
2014
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3. Main nutrient patterns are associated with prospective weight change in adults from 10 European countries

Author

Freisling, Heinz, Pisa, Pedro T, Ferrari, Pietro, Byrnes, Graham, Moskal, Aurelie, Dahm, Christina C, Vergnaud, Anne-Claire, Boutron-Ruault, Marie-Christine, Fagherazzi, Guy, Cadeau, Claire, Kühn, Tilman, Neamat-Allah, Jasmine, Buijsse, Brian, Boeing, Heiner, Halkjær, Jytte, Tjonneland, Anne, Hansen, Camilla P, Quirós, J Ramón, Travier, Noémie, Molina-Montes, Esther, Amiano, Pilar, Huerta, José M, Barricarte, Aurelio, Khaw, Kay-Tee, Wareham, Nicholas, Key, Tim J, Romaguera, Dora, Lu, Yunxia, Lassale, Camille M, Naska, Androniki, Orfanos, Philippos, Trichopoulou, Antonia, Masala, Giovanna, Pala, Valeria, Berrino, Franco, Tumino, Rosario, Ricceri, Fulvio, de Magistris, Maria Santucci, Bueno-de-Mesquita, H Bas, Ocké, Marga C, Sonestedt, Emily, Ericson, Ulrika, Johansson, Mattias, Skeie, Guri, Weiderpass, Elisabete, Braaten, Tonje, Peeters, Petra HM, and Slimani, Nadia

Subjects
Public Health, Biomedical and Clinical Sciences, Nutrition and Dietetics, Health Sciences, Clinical Research, Prevention, Nutrition, Metabolic and endocrine, Adult, Aged, Ascorbic Acid, Calcium, Dietary, Diet, Dietary Fiber, Dietary Proteins, Europe, Female, Folic Acid, Follow-Up Studies, Humans, Linear Models, Male, Middle Aged, Nutrition Assessment, Phosphorus, Dietary, Prospective Studies, Riboflavin, Surveys and Questionnaires, Weight Gain, beta Carotene, Dietary patterns, Energy balance, Nutrients, Obesity, Public health, Weight gain, Nutrition & Dietetics, Nutrition and dietetics, Epidemiology
Abstract

PurposeVarious food patterns have been associated with weight change in adults, but it is unknown which combinations of nutrients may account for such observations. We investigated associations between main nutrient patterns and prospective weight change in adults.MethodsThis study includes 235,880 participants, 25-70 years old, recruited between 1992 and 2000 in 10 European countries. Intakes of 23 nutrients were estimated from country-specific validated dietary questionnaires using the harmonized EPIC Nutrient DataBase. Four nutrient patterns, explaining 67 % of the total variance of nutrient intakes, were previously identified from principal component analysis. Body weight was measured at recruitment and self-reported 5 years later. The relationship between nutrient patterns and annual weight change was examined separately for men and women using linear mixed models with random effect according to center controlling for confounders.ResultsMean weight gain was 460 g/year (SD 950) and 420 g/year (SD 940) for men and women, respectively. The annual differences in weight gain per one SD increase in the pattern scores were as follows: principal component (PC) 1, characterized by nutrients from plant food sources, was inversely associated with weight gain in men (-22 g/year; 95 % CI -33 to -10) and women (-18 g/year; 95 % CI -26 to -11). In contrast, PC4, characterized by protein, vitamin B2, phosphorus, and calcium, was associated with a weight gain of +41 g/year (95 % CI +2 to +80) and +88 g/year (95 % CI +36 to +140) in men and women, respectively. Associations with PC2, a pattern driven by many micro-nutrients, and with PC3, a pattern driven by vitamin D, were less consistent and/or non-significant.ConclusionsWe identified two main nutrient patterns that are associated with moderate but significant long-term differences in weight gain in adults.

Published
2016

4. Association between nutritional profiles of foods underlying Nutri-Score front-of-pack labels and mortality: EPIC cohort study in 10 European countries

Author

Deschasaux, Mélanie, Huybrechts, Inge, Julia, Chantal, Hercberg, Serge, Egnell, Manon, Srour, Bernard, Kesse-Guyot, Emmanuelle, Latino-Martel, Paule, Biessy, Carine, Casagrande, Corinne, Murphy, Neil, Jenab, Mazda, Ward, Heather A, Weiderpass, Elisabete, Overvad, Kim, Tjønneland, Anne, Rostgaard-Hansen, Agnetha Linn, Boutron-Ruault, Marie-Christine, Mancini, Francesca Romana, Mahamat-Saleh, Yahya, Kühn, Tilman, Katzke, Verena, Bergmann, Manuela M, Schulze, Matthias B, Trichopoulou, Antonia, Karakatsani, Anna, Peppa, Eleni, Masala, Giovanna, Agnoli, Claudia, De Magistris, Maria Santucci, Tumino, Rosario, Sacerdote, Carlotta, Boer, Jolanda MA, Verschuren, WM Monique, van der Schouw, Yvonne T, Skeie, Guri, Braaten, Tonje, Redondo, M Luisa, Agudo, Antonio, Petrova, Dafina, Colorado-Yohar, Sandra M, Barricarte, Aurelio, Amiano, Pilar, Sonestedt, Emily, Ericson, Ulrika, Otten, Julia, Sundström, Björn, Wareham, Nicholas J, Forouhi, Nita G, Vineis, Paolo, Tsilidis, Konstantinos K, Knuppel, Anika, Papier, Keren, Ferrari, Pietro, Riboli, Elio, Gunter, Marc J, Touvier, Mathilde, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Sorbonne Paris Nord-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Réseau National Alimentation Cancer Recherche (réseau NACRe), Centre International de Recherche contre le Cancer - International Agency for Research on Cancer (CIRC - IARC), Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Département de Santé Publique [Avicenne], Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), School of Public Health, Imperial College London, Aarhus University [Aarhus], Department of Public Health [Copenhagen], Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Danish Cancer Society Research Center, Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Institut Gustave Roussy (IGR), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Institute of Nutrition Science, University of Potsdam, Hellenic Health Foundation, 'Attikon' University Hospital, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Fondazione IRCCS Istituto Nazionale Tumori - National Cancer Institute [Milan], AOU Federico II, Partenaires INRAE, Provincial Health Services Authority, Center for Cancer Prevention (CPO-Piemonte), National Institute for Public Health and the Environment [Bilthoven] (RIVM), Julius Center for Health Sciences and Primary Care, University Medical Center [Utrecht], The Arctic University of Norway (UiT), Public Health Directorate, Institut d'Investigació Biomèdica de Bellvitge [Barcelone] (IDIBELL), Andalusian School of Public Health [Granada], Escuela Andaluza de Salud Publica, Instituto de Investigación Biosanitaria de Granada (Granada.ibs), Granada, Spain, parent, CIBER de Epidemiología y Salud Pública (CIBERESP), Murcia Regional Health Council [Murcia], Universidad de Antioquia = University of Antioquia [Medellín, Colombia], Navarra Public Health Institute, Navarra Institute for Health Research, Biodonostia Health Research Institute, Department of Clinical Sciences [Malmö, Suède], Lund University [Malmö, Suède], Department of Public Health and Clinical Medicine [Umeå, Sweden] (Environmental and Occupational Medicine), Umeå University, University of Cambridge School of Clinical Medicine, University of Ioannina School of Medicine, Nuffield Department of Population Health [Oxford], University of Oxford [Oxford], French National Cancer Institute (INCa)-Canceropole Ile-de-France 2017-1-PL SHS-01-INSERM ADR 5-1Fondation Recherche Medicale ARF201809007046European CommissionEuropean Commission Joint Research CentreInternational Agency for Research on CancerDanish Cancer SocietyLigue nationale contre le cancerInstitut Gustave RoussyMutuelle Generale de l'Education NationaleInstitut National de la Sante et de la Recherche Medicale (Inserm)Deutsche KrebshilfeFederal Ministry of Education & Research (BMBF)Hellenic Health Foundation (Greece)Associazione Italiana per la Ricerca sul Cancro (AIRC)Italian National Research CouncilDutch Ministry of Public Health, Welfare, and Sports (the Netherlands)Netherlands Cancer Registry (the Netherlands)Netherlands GovernmentHealth Research Fund (Spain)Instituto de Salud Carlos IIIJunta de Andalucia Regional government of Asturias (Spain) Regional government of Basque Country (Spain) Regional government of Murcia (Spain) Regional government of Navarra (Spain) Catalan Institute of Oncology (Spain)Swedish Cancer Society Swedish Scientific Council (Sweden) County councils of Skane and Vasterbotten (Sweden)Cancer Research UK C864/A14136 C8221/A19170Medical Research Council UK (MRC) MR/N003284/1 - MC-UU_12015/1 - MR/M012190/1 - MC_UU_12015/1 - MC_UU_12015/5 - National Institute for Health Research Biomedical Research Centre, Cambridge: Nutrition, Diet, and Lifestyle Research Theme IS-BRC-1215-20014, Deschasaux, Mélanie [0000-0002-3359-420X], and Apollo - University of Cambridge Repository

Subjects
Adult, Male, 1117 Public Health and Health Services, Cohort Studies, Food Preferences, Food Labeling, General & Internal Medicine, Surveys and Questionnaires, Mortalitat, Humans, Mortality, Nutrició, ComputingMilieux_MISCELLANEOUS, Nutrition, Proportional Hazards Models, Research, Klinisk medicin, 1103 Clinical Sciences, Middle Aged, Europe, Nutrition Assessment, Female, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Clinical Medicine, Nutritive Value, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
Abstract

Objective: To determine if the Food Standards Agency nutrient profiling system (FSAm-NPS), which grades the nutritional quality of food products and is used to derive the Nutri-Score front-of-packet label to guide consumers towards healthier food choices, is associated with mortality. Design: Population based cohort study. Setting: European Prospective Investigation into Cancer and Nutrition (EPIC) cohort from 23 centres in 10 European countries. Participants: 521 324 adults; at recruitment, country specific and validated dietary questionnaires were used to assess their usual dietary intakes. A FSAm-NPS score was calculated for each food item per 100 g content of energy, sugars, saturated fatty acids, sodium, fibre, and protein, and of fruit, vegetables, legumes, and nuts. The FSAm-NPS dietary index was calculated for each participant as an energy weighted mean of the FSAm-NPS score of all foods consumed. The higher the score the lower the overall nutritional quality of the diet. Main outcome measure: Associations between the FSAm-NPS dietary index score and mortality, assessed using multivariable adjusted Cox proportional hazards regression models. Results: After exclusions, 501 594 adults (median follow-up 17.2 years, 8 162 730 person years) were included in the analyses. Those with a higher FSAm-NPS dietary index score (highest versus lowest fifth) showed an increased risk of all cause mortality (n=53 112 events from non-external causes; hazard ratio 1.07, 95% confidence interval 1.03 to 1.10, PConclusions: In this large multinational European cohort, consuming foods with a higher FSAm-NPS score (lower nutritional quality) was associated with a higher mortality for all causes and for cancer and diseases of the circulatory, respiratory, and digestive systems, supporting the relevance of FSAm-NPS to characterise healthier food choices in the context of public health policies (eg, the Nutri-Score) for European populations. This is important considering ongoing discussions about the potential implementation of a unique nutrition labelling system at the European Union level.

Published
2020

5. Association between nutritional profiles of foods underlying Nutri-Score front-of-pack labels and mortality: EPIC cohort study in 10 European countries

Author

Deschasaux, Mélanie, Huybrechts, Inge, Julia, Chantal, Hercberg, Serge, Egnell, Manon, Srour, Bernard, Kesse-Guyot, Emmanuelle, Latino-Martel, Paule, Biessy, Carine, Casagrande, Corinne, Murphy, Neil, Jenab, Mazda, Ward, Heather A, Weiderpass, Elisabete, Overvad, Kim, Tjønneland, Anne, Rostgaard-Hansen, Agnetha Linn, Boutron-Ruault, Marie-Christine, Mancini, Francesca Romana, Mahamat-Saleh, Yahya, Kühn, Tilman, Katzke, Verena, Bergmann, Manuela M, Schulze, Matthias B, Trichopoulou, Antonia, Karakatsani, Anna, Peppa, Eleni, Masala, Giovanna, Agnoli, Claudia, De Magistris, Maria Santucci, Tumino, Rosario, Sacerdote, Carlotta, Boer, Jolanda Ma, Verschuren, Wm Monique, Van Der Schouw, Yvonne T, Skeie, Guri, Braaten, Tonje, Redondo, M Luisa, Agudo, Antonio, Petrova, Dafina, Colorado-Yohar, Sandra M, Barricarte, Aurelio, Amiano, Pilar, Sonestedt, Emily, Ericson, Ulrika, Otten, Julia, Sundström, Björn, Wareham, Nicholas J, Forouhi, Nita G, Vineis, Paolo, Tsilidis, Konstantinos K, Knuppel, Anika, Papier, Keren, Ferrari, Pietro, Riboli, Elio, Gunter, Marc J, and Touvier, Mathilde

Subjects
2. Zero hunger, Adult, Male, Middle Aged, 3. Good health, Cohort Studies, Europe, Food Preferences, Nutrition Assessment, Food Labeling, Surveys and Questionnaires, Humans, Female, Mortality, Nutritive Value, Proportional Hazards Models
Abstract

OBJECTIVE: To determine if the Food Standards Agency nutrient profiling system (FSAm-NPS), which grades the nutritional quality of food products and is used to derive the Nutri-Score front-of-packet label to guide consumers towards healthier food choices, is associated with mortality. DESIGN: Population based cohort study. SETTING: European Prospective Investigation into Cancer and Nutrition (EPIC) cohort from 23 centres in 10 European countries. PARTICIPANTS: 521 324 adults; at recruitment, country specific and validated dietary questionnaires were used to assess their usual dietary intakes. A FSAm-NPS score was calculated for each food item per 100 g content of energy, sugars, saturated fatty acids, sodium, fibre, and protein, and of fruit, vegetables, legumes, and nuts. The FSAm-NPS dietary index was calculated for each participant as an energy weighted mean of the FSAm-NPS score of all foods consumed. The higher the score the lower the overall nutritional quality of the diet. MAIN OUTCOME MEASURE: Associations between the FSAm-NPS dietary index score and mortality, assessed using multivariable adjusted Cox proportional hazards regression models. RESULTS: After exclusions, 501 594 adults (median follow-up 17.2 years, 8 162 730 person years) were included in the analyses. Those with a higher FSAm-NPS dietary index score (highest versus lowest fifth) showed an increased risk of all cause mortality (n=53 112 events from non-external causes; hazard ratio 1.07, 95% confidence interval 1.03 to 1.10, P

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