Articles producció científica> Medicina i Cirurgia

Joint Data Analysis in Nutritional Epidemiology: Identification of Observational Studies and Minimal Requirements.

  • Dades identificatives

    Identificador: imarina:5251675
    Autors:
    Pinart M, Nimptsch K, Bouwman J, Dragsted LO, Yang C, De Cock N, Lachat C, Perozzi G, Canali R, Lombardo R, D'Archivio M, Guillaume M, Donneau AF, Jeran S, Linseisen J, Kleiser C, Nöthlings U, Barbaresko J, Boeing H, Stelmach-Mardas M, Heuer T, Laird E, Walton J, Gasparini P, Robino A, Castaño L, Rojo-Martínez G, Merino J, Masana L, Standl M, Schulz H, Biagi E, Nurk E, Matthys C, Gobbetti M, de Angelis M, Windler E, Zyriax BC, Tafforeau J, Pischon T
    Resum:
    Background: Joint data analysis from multiple nutrition studies may improve the ability to answer complex questions regarding the role of nutritional status and diet in health and disease. Objective: The objective was to identify nutritional observational studies from partners participating in the European Nutritional Phenotype Assessment and Data Sharing Initiative (ENPADASI) Consortium, as well as minimal requirements for joint data analysis. Methods: A predefined template containing information on study design, exposure measurements (dietary intake, alcohol and tobacco consumption, physical activity, sedentary behavior, anthropometric measures, and sociodemographic and health status), main health-related outcomes, and laboratory measurements (traditional and omics biomarkers) was developed and circulated to those European research groups participating in the ENPADASI under the strategic research area of 'diet-related chronic diseases.' Information about raw data disposition and metadata sharing was requested. A set of minimal requirements was abstracted from the gathered information. Results: Studies (12 cohort, 12 cross-sectional, and 2 case-control) were identified. Two studies recruited children only and the rest recruited adults. All studies included dietary intake data. Twenty studies collected blood samples. Data on traditional biomarkers were available for 20 studies, of which 17 measured lipoproteins, glucose, and insulin and 13 measured inflammatory biomarkers. Metabolomics, proteomics, and genomics or transcriptomics data were available in 5, 3, and 12 studies, respectively. Although the study authors were willing to share metadata, most refused, were hesitant, or had legal or ethical issues related to sharing raw data. Forty-one descriptors of minimal requ
  • Altres:

    Autor segons l'article: Pinart M, Nimptsch K, Bouwman J, Dragsted LO, Yang C, De Cock N, Lachat C, Perozzi G, Canali R, Lombardo R, D'Archivio M, Guillaume M, Donneau AF, Jeran S, Linseisen J, Kleiser C, Nöthlings U, Barbaresko J, Boeing H, Stelmach-Mardas M, Heuer T, Laird E, Walton J, Gasparini P, Robino A, Castaño L, Rojo-Martínez G, Merino J, Masana L, Standl M, Schulz H, Biagi E, Nurk E, Matthys C, Gobbetti M, de Angelis M, Windler E, Zyriax BC, Tafforeau J, Pischon T
    Departament: Medicina i Cirurgia
    Autor/s de la URV: Masana Marín, Luis / MERINO RIBAS, JORDI
    Paraules clau: Phenotype Observational studies Nutritional phenotype Metadata Metabolomics Integration Information Guidelines Food-consumption Diet Determinants Data sharing Data integration Association Age
    Resum: Background: Joint data analysis from multiple nutrition studies may improve the ability to answer complex questions regarding the role of nutritional status and diet in health and disease. Objective: The objective was to identify nutritional observational studies from partners participating in the European Nutritional Phenotype Assessment and Data Sharing Initiative (ENPADASI) Consortium, as well as minimal requirements for joint data analysis. Methods: A predefined template containing information on study design, exposure measurements (dietary intake, alcohol and tobacco consumption, physical activity, sedentary behavior, anthropometric measures, and sociodemographic and health status), main health-related outcomes, and laboratory measurements (traditional and omics biomarkers) was developed and circulated to those European research groups participating in the ENPADASI under the strategic research area of 'diet-related chronic diseases.' Information about raw data disposition and metadata sharing was requested. A set of minimal requirements was abstracted from the gathered information. Results: Studies (12 cohort, 12 cross-sectional, and 2 case-control) were identified. Two studies recruited children only and the rest recruited adults. All studies included dietary intake data. Twenty studies collected blood samples. Data on traditional biomarkers were available for 20 studies, of which 17 measured lipoproteins, glucose, and insulin and 13 measured inflammatory biomarkers. Metabolomics, proteomics, and genomics or transcriptomics data were available in 5, 3, and 12 studies, respectively. Although the study authors were willing to share metadata, most refused, were hesitant, or had legal or ethical issues related to sharing raw data. Forty-one descriptors of minimal requirements for the study data were identified to facilitate data integration. Conclusions: Combining study data sets will enable sufficiently powered, refined investigations to increase the knowledge and understanding of the relation between food, nutrition, and human health. Furthermore, the minimal requirements for study data may encourage more efficient secondary usage of existing data and provide sufficient information for researchers to draft future multicenter research proposals in nutrition.
    Àrees temàtiques: Serviço social Saúde coletiva Odontología Nutrition and dietetics Nutrition & dietetics Nutrição Medicine (miscellaneous) Medicina veterinaria Medicina ii Medicina i Interdisciplinar General medicine Farmacia Ensino Engenharias ii Enfermagem Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciência de alimentos
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 00223166
    Adreça de correu electrònic de l'autor: luis.masana@urv.cat
    Identificador de l'autor: 0000-0002-0789-4954
    Data d'alta del registre: 2024-09-07
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://academic.oup.com/jn/article/148/2/285/4913031
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Journal Of Nutrition. 148 (2): 285-297
    Referència de l'ítem segons les normes APA: Pinart M, Nimptsch K, Bouwman J, Dragsted LO, Yang C, De Cock N, Lachat C, Perozzi G, Canali R, Lombardo R, D'Archivio M, Guillaume M, Donneau AF, Jer (2018). Joint Data Analysis in Nutritional Epidemiology: Identification of Observational Studies and Minimal Requirements.. Journal Of Nutrition, 148(2), 285-297. DOI: 10.1093/jn/nxx037
    DOI de l'article: 10.1093/jn/nxx037
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2018
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Medicine (Miscellaneous),Nutrition & Dietetics,Nutrition and Dietetics
    Phenotype
    Observational studies
    Nutritional phenotype
    Metadata
    Metabolomics
    Integration
    Information
    Guidelines
    Food-consumption
    Diet
    Determinants
    Data sharing
    Data integration
    Association
    Age
    Serviço social
    Saúde coletiva
    Odontología
    Nutrition and dietetics
    Nutrition & dietetics
    Nutrição
    Medicine (miscellaneous)
    Medicina veterinaria
    Medicina ii
    Medicina i
    Interdisciplinar
    General medicine
    Farmacia
    Ensino
    Engenharias ii
    Enfermagem
    Educação física
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciência de alimentos
  • Documents:

  • Cerca a google

    Search to google scholar