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dc.contributor.authorMoskal, Aurelieen_US
dc.contributor.authorPisa, Pedro T.en_US
dc.contributor.authorFerrari, Pietroen_US
dc.contributor.authorByrnes, Grahamen_US
dc.contributor.authorFreisling, Heinzen_US
dc.contributor.authorBoutron-Ruault, Marie-Christineen_US
dc.contributor.authorCadeau, Claireen_US
dc.contributor.authorNailler, Lauraen_US
dc.contributor.authorWendt, Andreaen_US
dc.contributor.authorKühn, Tilmanen_US
dc.contributor.authorBoeing, Heineren_US
dc.contributor.authorBuijsse, Brianen_US
dc.contributor.authorTjønneland, Anneen_US
dc.contributor.authorHalkjær, Jytteen_US
dc.contributor.authorDahm, Christina C.en_US
dc.contributor.authorChiuve, Stephanie E.en_US
dc.contributor.authorQuirós, Jose R.en_US
dc.contributor.authorBuckland, Genevieveen_US
dc.contributor.authorMolina-Montes, Estheren_US
dc.contributor.authorAmiano, Pilaren_US
dc.contributor.authorHuerta Castaño, José M.en_US
dc.contributor.authorGurrea, Aurelio Barricarteen_US
dc.contributor.authorKhaw, Kay-Teeen_US
dc.contributor.authorLentjes, Marleen A.en_US
dc.contributor.authorKey, Timothy J.en_US
dc.contributor.authorRomaguera, Doraen_US
dc.contributor.authorVergnaud, Anne-Claireen_US
dc.contributor.authorTrichopoulou, Antoniaen_US
dc.contributor.authorBamia, Christinaen_US
dc.contributor.authorOrfanos, Philipposen_US
dc.contributor.authorPalli, Domenicoen_US
dc.contributor.authorPala, Valeriaen_US
dc.contributor.authorTumino, Rosarioen_US
dc.contributor.authorSacerdote, Carlottaen_US
dc.contributor.authorde Magistris, Maria Santuccien_US
dc.contributor.authorBueno-de-Mesquita, H. Basen_US
dc.contributor.authorOcké, Marga C.en_US
dc.contributor.authorBeulens, Joline W. J.en_US
dc.contributor.authorEricson, Ulrikaen_US
dc.contributor.authorDrake, Isabelen_US
dc.contributor.authorNilsson, Lena M.en_US
dc.contributor.authorWinkvist, Annaen_US
dc.contributor.authorWeiderpass, Elisabeteen_US
dc.contributor.authorHjartåker, Anetteen_US
dc.contributor.authorRiboli, Elioen_US
dc.contributor.authorSlimani, Nadiaen_US
dc.date.accessioned2014-07-07T17:01:43Z
dc.date.issued2014en_US
dc.identifier.citationMoskal, A., P. T. Pisa, P. Ferrari, G. Byrnes, H. Freisling, M. Boutron-Ruault, C. Cadeau, et al. 2014. “Nutrient Patterns and Their Food Sources in an International Study Setting: Report from the EPIC Study.” PLoS ONE 9 (6): e98647. doi:10.1371/journal.pone.0098647. http://dx.doi.org/10.1371/journal.pone.0098647.en
dc.identifier.issn1932-6203en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:12406546
dc.description.abstractBackground: Compared to food patterns, nutrient patterns have been rarely used particularly at international level. We studied, in the context of a multi-center study with heterogeneous data, the methodological challenges regarding pattern analyses. Methodology/Principal Findings We identified nutrient patterns from food frequency questionnaires (FFQ) in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study and used 24-hour dietary recall (24-HDR) data to validate and describe the nutrient patterns and their related food sources. Associations between lifestyle factors and the nutrient patterns were also examined. Principal component analysis (PCA) was applied on 23 nutrients derived from country-specific FFQ combining data from all EPIC centers (N = 477,312). Harmonized 24-HDRs available for a representative sample of the EPIC populations (N = 34,436) provided accurate mean group estimates of nutrients and foods by quintiles of pattern scores, presented graphically. An overall PCA combining all data captured a good proportion of the variance explained in each EPIC center. Four nutrient patterns were identified explaining 67% of the total variance: Principle component (PC) 1 was characterized by a high contribution of nutrients from plant food sources and a low contribution of nutrients from animal food sources; PC2 by a high contribution of micro-nutrients and proteins; PC3 was characterized by polyunsaturated fatty acids and vitamin D; PC4 was characterized by calcium, proteins, riboflavin, and phosphorus. The nutrients with high loadings on a particular pattern as derived from country-specific FFQ also showed high deviations in their mean EPIC intakes by quintiles of pattern scores when estimated from 24-HDR. Center and energy intake explained most of the variability in pattern scores. Conclusion/Significance The use of 24-HDR enabled internal validation and facilitated the interpretation of the nutrient patterns derived from FFQs in term of food sources. These outcomes open research opportunities and perspectives of using nutrient patterns in future studies particularly at international level.en
dc.language.isoen_USen
dc.publisherPublic Library of Scienceen
dc.relation.isversionofdoi:10.1371/journal.pone.0098647en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4047062/pdf/en
dash.licenseLAAen_US
dc.subjectBiology and Life Sciencesen
dc.subjectNutritionen
dc.subjectNutrientsen
dc.subjectVitaminsen
dc.subjectNutritional Deficienciesen
dc.subjectMicronutrient Deficienciesen
dc.subjectMedicine and Health Sciencesen
dc.subjectEpidemiologyen
dc.subjectCancer Epidemiologyen
dc.subjectEpidemiological Methods and Statisticsen
dc.subjectPublic and Occupational Healthen
dc.subjectPhysical Sciencesen
dc.subjectMathematicsen
dc.subjectStatistics (Mathematics)en
dc.subjectBiostatisticsen
dc.subjectConfidence Intervalsen
dc.subjectStatistical Methodsen
dc.titleNutrient Patterns and Their Food Sources in an International Study Setting: Report from the EPIC Studyen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalPLoS ONEen
dash.depositing.authorChiuve, Stephanie E.en_US
dc.date.available2014-07-07T17:01:43Z
dc.identifier.doi10.1371/journal.pone.0098647*
dash.authorsorderedfalse
dash.contributor.affiliatedChiuve, Stephanie


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