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

Loading...
Thumbnail Image

Date

2018

Authors

Pinart, Mariona
Nimptsch, Katharina
Bouwman, Jildau
Dragsted, Lars O
Yang, Chen
De-Cock, Nathalie
Lachat, Carl
Perozzi, Giuditta
Canali, Raffaella
Lombardo, Rosario

Advisors

Journal Title

Journal ISSN

Volume Title

Publisher

Metrics
Google Scholar
Export

Research Projects

Organizational Units

Journal Issue

Abstract

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. 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. 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. 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. 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.

Description

MeSH Terms

Adult
Biomarkers
Blood Glucose
Case-Control Studies
Child
Chronic Disease
Cohort Studies
Cross-Sectional Studies
Diet
Epidemiology
Europe
Genomics
Health Status
Humans
Inflammation
Insulin
Life Style
Lipoproteins
Longitudinal Studies
Metabolomics
Nutritional Status
Observational Studies as Topic
Statistics as Topic

DeCS Terms

Análisis de Datos
Articulaciones
Biomarcadores
Ciencias de la Nutrición
Ejercicio físico
Difusión de la información
Predicción

CIE Terms

Keywords

Biomarkers, Insulin, Lipoproteins

Citation

Pinart M, Nimptsch K, Bouwman J, Dragsted LO, Yang C, De Cock N, Lachat C, et al. Joint Data Analysis in Nutritional Epidemiology: Identification of Observational Studies and Minimal Requirements. J Nutr. 2018 Feb 1;148(2):285-297