Nutrinet-Health FRESH-PEF60067-en Mathilde TOUVIER Nutrinet-Health NUTRINET-SANTE FRESH-PEF60067-en 60067 FRESH-PEF60067 Mathilde TOUVIER Chantal JULIA Léopold FEZEU Emmanuelle KESSE Pilar GALAN Serge HERCBERG Sandrine PENEAU INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM) INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE L'ALIMENTATION ET L'ENVIRONNEMENT (INRAE) UNIVERSITE SORBONNE PARIS NORD CONSERVATOIRE NATIONAL DES ARTS ET METIERS (CNAM) Epidemiology France Portal (PEF) INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM) INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE L'ALIMENTATION ET L'ENVIRONNEMENT (INRAE) MINISTERE DU TRAVAIL, DE LA SANTE, DES SOLIDARITES ET DES FAMILLES SANTE PUBLIQUE FRANCE UNIVERSITE SORBONNE PARIS NORD CNAM null Mathilde;TOUVIER Emmanuelle;KESSE Pilar;GALAN Serge;HERCBERG Sandrine;PENEAU Overall and specific mortality prevention COVID-19 Behavioral determinants Behavioral determinants: Eating habits General objective: to understand the relationship between nutrition and health and to investigate factors that determine dietary patterns. 1. To study the relationship between nutrient intake, food and dietary patterns as well as: - overall and specific mortality (cancer or cardiovascular disease); - The impact of cancer, cardiovascular disease, obesity and excess weight, type 2 diabetes, arterial hypertension, dyslipidemia, metabolic syndrome and quality of life. 2. To investigate factors that determine dietary patterns (sociological, economical. cultural, biological, etc.), nutritional status and health. 3. To monitor trends in the population's nutrient intake and nutritional status over time. 4. To evaluate the impact of public health campaigns or initiatives (awareness, perception, effectiveness, etc.). null France Individuals General population Male Female Young Adult (19 to 24 years) Adult (25 to 44 years) Middle Aged (45 to 64 years) Aged (65 to 79 years) Internet users (over 18 years old) who agreed to participate in the study for 5 years (at least) by answering questionnaires on diet (3 dietary records at baseline over 3 weeks) + questionnaires on physical activity + weight, height, + lifestyle + health questionnaire. Clinical data Participant-reported health data Biological data Socio-demographic data Paraclinical data (non-biological) : Anthropometry Paraclinical data (non-biological) : Function testing Consistency request when entering computer data and after recording computer data. Subject reminder for follow-up visits. Internal quality audit each year. Patients are informed about the use of their data. Health event/morbidity Health event/mortality Health care consumption and services Quality of life/health perception Other Population database for statistical purposes >= 20000 individuals Converting or copying information into a structured record Interview with the participant (including clinical) Medico-administrative database Observational Study Observational Study Cohort study 120,000 Unknown Restricted access Data may be used by industrial teams; Data may not be used by industrial teams. Contractual access; Access on specific project only