Joint data analysis in nutritional epidemiology: identification of observational studies and minimal requirements

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dc.contributor.authorPinart, Mariona
dc.contributor.authorNimptsch, Katharina
dc.contributor.authorBouwman, Jildau
dc.contributor.authorDragsted, Lars O.
dc.contributor.authorYang, Chen
dc.contributor.authorDe Cock, Nathalie
dc.contributor.authorLachat, Carl
dc.contributor.authorPerozzi, Giuditta
dc.contributor.authorCanali, Raffaella
dc.contributor.authorLombardo, Rosario
dc.contributor.authorD'Archivio, Massimo
dc.contributor.authorGuillaume, MichSle
dc.contributor.authorDonneau, Anne-Francoise
dc.contributor.authorJeran, Stephanie
dc.contributor.authorLinseisen, Jakob
dc.contributor.authorKleiser, Christina
dc.contributor.authorNothlings, Ute
dc.contributor.authorBarbaresko, Janett
dc.contributor.authorBoeing, Heiner
dc.contributor.authorStelmach-Mardas, Marta
dc.contributor.authorHeuer, Thorsten
dc.contributor.authorLaird, Eamon
dc.contributor.authorWalton, Janette
dc.contributor.authorGasparini, Paolo
dc.contributor.authorRobino, Antonietta
dc.contributor.authorCastano, Luis
dc.contributor.authorRojo-Martinez, Gemma
dc.contributor.authorMerino, Jordi
dc.contributor.authorMasana, Luis
dc.contributor.authorStandl, Marie
dc.contributor.authorSchulz, Holger
dc.contributor.authorBiagi, Elena
dc.contributor.authorNurk, Eha
dc.contributor.authorMatthys, Christophe
dc.contributor.authorGobbetti, Marco
dc.contributor.authorDe Angelis, Maria
dc.contributor.authorWindler, Eberhard
dc.contributor.authorZyriax, Birgit-Christiane
dc.contributor.authorTafforeau, Jean
dc.contributor.authorPischon, Tobias
dc.contributor.funderFonds Wetenschappelijk Onderzoek
dc.contributor.funderBundesanstalt für Landwirtschaft und Ernährung
dc.contributor.funderBundesministerium für Ernährung und Landwirtschaft
dc.contributor.funderHorizon 2020 Framework Programme
dc.contributor.funderChina Scholarship Council
dc.date.accessioned2018-07-30T10:30:26Z
dc.date.available2018-07-30T10:30:26Z
dc.date.issued2018
dc.description.abstractBackground: 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 asminimal 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, t he 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.en
dc.description.sponsorshipHorizon 2020 Framework Programme (ENPADASI); Bundesministerium für Ernährung und Landwirtschaft /Bundesanstalt für Landwirtschaft und Ernährung (2814ERA01F); Fonds Wetenschappelijk Onderzoek (Research Foundation-Flanders G0D4815N)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationPinart, M., Nimptsch, K., Bouwman, J., Dragsted, L. O., Yang, C., De Cock, N., Lachat, C., Perozzi, G., Canali, R., Lombardo, R., D'Archivio, M., Guillaume, M., Donneau, A.-F., 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, B.-C., Tafforeau, J. and Pischon, T. (2018) 'Joint Data Analysis in Nutritional Epidemiology: Identification of Observational Studies and Minimal Requirements', Journal of Nutrition, 148(2), pp. 285-297. doi: 10.1093/jn/nxx037en
dc.identifier.doi10.1093/jn/nxx037
dc.identifier.endpage297
dc.identifier.issn0022-3166
dc.identifier.issued2
dc.identifier.journaltitleJournal of Nutritionen
dc.identifier.startpage285
dc.identifier.urihttps://hdl.handle.net/10468/6512
dc.identifier.volume148
dc.language.isoenen
dc.publisherOxford University Pressen
dc.relation.urihttps://academic.oup.com/jn/article/148/2/285/4913031
dc.rights© 2018, American Society for Nutrition. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly citeden
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectNutritional phenotypeen
dc.subjectMetadataen
dc.subjectData integrationen
dc.subjectData sharingen
dc.subjectObservational studiesen
dc.titleJoint data analysis in nutritional epidemiology: identification of observational studies and minimal requirementsen
dc.typeArticle (peer-reviewed)en
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