000168445 001__ 168445
000168445 005__ 20260205155159.0
000168445 0247_ $$2doi$$a10.1016/j.tjnut.2025.10.039
000168445 0248_ $$2sideral$$a147881
000168445 037__ $$aART-2025-147881
000168445 041__ $$aeng
000168445 100__ $$aGoerdten, Jantje
000168445 245__ $$aReproducibility and sources of variation of urinary biomarkers of food intake of fruits, vegetables, and chocolate in european children and adolescents
000168445 260__ $$c2025
000168445 5060_ $$aAccess copy available to the general public$$fUnrestricted
000168445 5203_ $$aBackground: Biomarkers of food intake may improve dietary assessment. Thereby, a key concern is their reproducibility over time. In epidemiological studies, it is important to accurately estimate habitual food intake and consequent disease risk associations. Objectives: We aimed to assess the reproducibility of 12 urinary metabolites linked to food intake and to investigate potential sources of
their variation. Methods: The analyses are based on previously identified urinary metabolites associated with dietary intake of fruits, vegetables, and chocolate in the large-scale European Identification and Prevention of Dietary- and Lifestyle-Induced Health Effects in Children and Infants/I.Family study. Metabolites were measured in 1788 urine samples from 599 children at study baseline (2007/2008, n = 597), at the first follow-up (2009/2010, n = 596), and at the third follow-up (2013/2014, n = 595) using high-resolution liquid chromatography–MS. Unadjusted and adjusted intraclass correlation coefficients (ICCs) were calculated for 2- and 4-y intervals. To identify sources of biomarker variability, various factors, including dietary intake, were analyzed. The amount of variance explained by each factor was quantified using the partial coefficient of determination (R2). Results: The median ICCs were 0.27 (range: 0.11–0.54) and 0.28 (range: 0.15–0.51) over 2- and 4-y intervals, respectively. Individual factors explained a median of 17% (range: 9.8–42.4) of the variance for the 2-y interval and 14.6% (range: 8.3–43.8) for the 4-y interval. Country of residence explained the largest proportion of variance (median: 5% for the 2-y interval, 4.5% for the 4-y interval). Dietary intake explained only a variation of 0.7% (0.0–1.5) and 0.6% (0.0–1.1) for the 2- and 4-y interval, respectively.
000168445 536__ $$9info:eu-repo/grantAgreement/EUR/FP6/FOOD-016181$$9info:eu-repo/grantAgreement/EC/FP7/266044/EU/Determinants of eating behaviour in European children, adolescents and their parents/I.FAMILY
000168445 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000168445 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000168445 700__ $$aRattner, Jodi
000168445 700__ $$aMerdas, Mira
000168445 700__ $$aAchaintre, David
000168445 700__ $$aYuan, Li
000168445 700__ $$aRusso, Paola
000168445 700__ $$aVeidebaum, Toomas
000168445 700__ $$aMolnár, Dénes
000168445 700__ $$aLissner, Lauren
000168445 700__ $$aDe Henauw, Stefaan
000168445 700__ $$0(orcid)0000-0003-0454-653X$$aMoreno, Luis A$$uUniversidad de Zaragoza
000168445 700__ $$aAleksandrova, Krasimira
000168445 700__ $$aForaita, Ronja
000168445 700__ $$aNöthlings, Ute
000168445 700__ $$aKeski-Rahkonen, Pekka
000168445 700__ $$aFloegel, Anna
000168445 7102_ $$11006$$2255$$aUniversidad de Zaragoza$$bDpto. Fisiatría y Enfermería$$cÁrea Enfermería
000168445 773__ $$g156, 1 (2025), 101226 [10 pp.]$$pJ. nutr.$$tThe Journal of nutrition$$x0022-3166
000168445 8564_ $$s1364717$$uhttps://zaguan.unizar.es/record/168445/files/texto_completo.pdf$$yVersión publicada
000168445 8564_ $$s2973629$$uhttps://zaguan.unizar.es/record/168445/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000168445 909CO $$ooai:zaguan.unizar.es:168445$$particulos$$pdriver
000168445 951__ $$a2026-02-05-14:36:44
000168445 980__ $$aARTICLE