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

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dc.contributor.author Pinart, Mariona
dc.contributor.author Nimptsch, Katharina
dc.contributor.author Bouwman, Jildau
dc.contributor.author Dragsted, Lars O.
dc.contributor.author Yang, Chen
dc.contributor.author De Cock, Nathalie
dc.contributor.author Lachat, Carl
dc.contributor.author Perozzi, Giuditta
dc.contributor.author Canali, Raffaella
dc.contributor.author Lombardo, Rosario
dc.contributor.author D'Archivio, Massimo
dc.contributor.author Guillaume, MichSle
dc.contributor.author Donneau, Anne-Francoise
dc.contributor.author Jeran, Stephanie
dc.contributor.author Linseisen, Jakob
dc.contributor.author Kleiser, Christina
dc.contributor.author Nothlings, Ute
dc.contributor.author Barbaresko, Janett
dc.contributor.author Boeing, Heiner
dc.contributor.author Stelmach-Mardas, Marta
dc.contributor.author Heuer, Thorsten
dc.contributor.author Laird, Eamon
dc.contributor.author Walton, Janette
dc.contributor.author Gasparini, Paolo
dc.contributor.author Robino, Antonietta
dc.contributor.author Castano, Luis
dc.contributor.author Rojo-Martinez, Gemma
dc.contributor.author Merino, Jordi
dc.contributor.author Masana, Luis
dc.contributor.author Standl, Marie
dc.contributor.author Schulz, Holger
dc.contributor.author Biagi, Elena
dc.contributor.author Nurk, Eha
dc.contributor.author Matthys, Christophe
dc.contributor.author Gobbetti, Marco
dc.contributor.author De Angelis, Maria
dc.contributor.author Windler, Eberhard
dc.contributor.author Zyriax, Birgit-Christiane
dc.contributor.author Tafforeau, Jean
dc.contributor.author Pischon, Tobias
dc.date.accessioned 2018-07-30T10:30:26Z
dc.date.available 2018-07-30T10:30:26Z
dc.date.issued 2018
dc.identifier.citation Pinart, 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/nxx037 en
dc.identifier.volume 148
dc.identifier.issued 2
dc.identifier.startpage 285
dc.identifier.endpage 297
dc.identifier.issn 0022-3166
dc.identifier.uri http://hdl.handle.net/10468/6512
dc.identifier.doi 10.1093/jn/nxx037
dc.description.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 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.sponsorship Horizon 2020 Framework Programme (ENPADASI); Bundesministerium für Ernährung und Landwirtschaft /Bundesanstalt für Landwirtschaft und Ernährung (2814ERA01F); Fonds Wetenschappelijk Onderzoek (Research Foundation-Flanders G0D4815N) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Oxford University Press en
dc.relation.uri https://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 cited en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject Nutritional phenotype en
dc.subject Metadata en
dc.subject Data integration en
dc.subject Data sharing en
dc.subject Observational studies en
dc.title Joint data analysis in nutritional epidemiology: identification of observational studies and minimal requirements en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Janette Walton, Firm Programme, University College Cork, Cork, Ireland. +353-21-490-3000 Email: janette.walton@ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Fonds Wetenschappelijk Onderzoek
dc.contributor.funder Bundesanstalt für Landwirtschaft und Ernährung
dc.contributor.funder Bundesministerium für Ernährung und Landwirtschaft
dc.contributor.funder Horizon 2020 Framework Programme
dc.contributor.funder China Scholarship Council
dc.description.status Peer reviewed en
dc.identifier.journaltitle Journal of Nutrition en
dc.internal.IRISemailaddress janette.walton@ucc.ie en


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© 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 cited Except where otherwise noted, this item's license is described as © 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 cited
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