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J Nutr. 2018 Feb 1;148(2):285-297. doi: 10.1093/jn/nxx037.

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

Author information

1
Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
2
TNO, Microbiology and Systems Biology Group, Zeist, Netherlands.
3
Department of Nutrition, Exercise, and Sports, University of Copenhagen, Copenhagen, Denmark.
4
Department of Food Safety and Food Quality, Ghent University, Ghent, Belgium.
5
CREA-NUT, Food and Nutrition Research Center, Rome, Italy.
6
The Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), Trentino, Italy.
7
Center for Gender-Specific Medicine, Istituto Superiore di Sanità, Rome, Italy.
8
Department of Public Health, University of Liège, Liège, Belgium.
9
Helmholtz Zentrum München, Institute of Epidemiology, Neuherberg, Germany.
10
Ludwig-Maximilians-Universität (LMU) München, Medical Faculty, Institute of Medical Information Processing, Biometry, and Epidemiology (IBE), Chair of Epidemiology at University Centre for Health Care Sciences at the Augsburg Clinic (UNIKA-T Augsburg), Ausburg, Germany.
11
Department of Nutrition and Food Sciences, University of Bonn, Bonn, Germany.
12
Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.
13
Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Poznan, Poland.
14
Department of Nutritional Behavior, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, Germany.
15
Centre for Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland.
16
School of Food and Nutritional Sciences, University College Cork, Cork, Ireland.
17
Department of Medical Sciences, University of Trieste, Trieste, Italy.
18
Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, Italy.
19
Spanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Rare Diseases Networking Biomedical Research Centre (CIBERER), BioCruces-Hospital Universitario Cruces-The University of the Basque Country (Basque: Euskal Herriko Unibertsitatea/Spanish: Universidad del País Vasco (UPV/EHU)), Barakaldo, Spain.
20
Spanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.
21
Unidad de Gestión Clínica (UGC) Endocrinology and Nutrition. Hospital Regional Universitario de Málaga, Institute of Biomedical Research in Malaga (IBIMA), Málaga, Spain.
22
Research Unit on Lipids and Atherosclerosis, Universitat Rovira i Virgili, Reus, Spain.
23
Diabetes Unit and Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA.
24
Helmholtz Zentrum München-German Research Center for Environmental Health, Institute of Epidemiology I, Neuherberg, Germany.
25
Department of Pharmacy and Biotechnology, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
26
National Institute for Health Development, Tallinn, Estonia.
27
Department of Clinical and Experimental Medicine, The Katholieke Universiteit Leuven (KU Leuven) and Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium.
28
Faculty of Science and Technology, Free University of Bozen, Bolzano, Italy.
29
Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Bari, Italy.
30
Preventive Medicine, University Heart Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
31
Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
32
Scientific Institute of Public Health, Brussels, Belgium.
33
Charité Universitätsmedizin Berlin, Berlin, Germany.
34
MDC/BIH Biobank, Max Delbrück Center for Molecular Medicine and Berlin Institute of Health, Berlin, Germany.
35
German Centre for Cardiovascular Research (DZHK), Berlin, Germany.

Abstract

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.

PMID:
29490094
DOI:
10.1093/jn/nxx037
[Indexed for MEDLINE]
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