000074925 001__ 74925
000074925 005__ 20200117221656.0
000074925 0247_ $$2doi$$a10.1007/s00394-018-1725-y
000074925 0248_ $$2sideral$$a107192
000074925 037__ $$aART-2018-107192
000074925 041__ $$aeng
000074925 100__ $$aMorin, C.
000074925 245__ $$aFluid intake patterns of children and adolescents: results of six Liq.In7 national cross-sectional surveys
000074925 260__ $$c2018
000074925 5060_ $$aAccess copy available to the general public$$fUnrestricted
000074925 5203_ $$aPurpose: This study aimed to identify and characterize patterns of fluid intake in children and adolescents from six countries: Argentina, Brazil, China, Indonesia, Mexico and Uruguay. Methods: Data on fluid intake volume and type amongst children (4–9 years; N = 1400) and adolescents (10–17 years; N = 1781) were collected using the validated 7-day fluid-specific record (Liq.In7 record). To identify relatively distinct clusters of subjects based on eight fluid types (water, milk and its derivatives, hot beverages, sugar-sweetened beverages (SSB), 100% fruit juices, artificial/non-nutritive sweetened beverages, alcoholic beverages, other beverages), a cluster analysis (partitioning around k-medoids algorithm) was used. Clusters were then characterized according to their socio-demographics and lifestyle indicators. Results: The six interpretable clusters identified were: low drinkers–SSB (n 523), low drinkers–water and milk (n 615), medium mixed drinkers (n 914), high drinkers–SSB (n 513), high drinkers–water (n 352) and very high drinkers–water (n 264). Country of residence was the dominant characteristic, followed by socioeconomic level, in all six patterns. Conclusions: This analysis showed that consumption of water and SSB were the primary drivers of the clusters. In addition to country, socio-demographic and lifestyle factors played a role in determining the characteristics of each cluster. This information highlights the need to target interventions in particular populations aimed at changing fluid intake behavior and improving health in children and adolescents.
000074925 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000074925 590__ $$a4.449$$b2018
000074925 591__ $$aNUTRITION & DIETETICS$$b14 / 86 = 0.163$$c2018$$dQ1$$eT1
000074925 592__ $$a1.419$$b2018
000074925 593__ $$aNutrition and Dietetics$$c2018$$dQ1
000074925 593__ $$aMedicine (miscellaneous)$$c2018$$dQ1
000074925 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000074925 700__ $$aGandy, J.
000074925 700__ $$aBrazeilles, R.
000074925 700__ $$0(orcid)0000-0003-0454-653X$$aMoreno, L.A.$$uUniversidad de Zaragoza
000074925 700__ $$aKavouras, S.A.
000074925 700__ $$aMartinez, H.
000074925 700__ $$aSalas-Salvadó, J.
000074925 700__ $$aBottin, J.
000074925 700__ $$aGuelinckx, I.
000074925 7102_ $$11006$$2255$$aUniversidad de Zaragoza$$bDpto. Fisiatría y Enfermería$$cÁrea Enfermería
000074925 773__ $$g57 (2018), 113-123$$pEur. j. nutr.$$tEUROPEAN JOURNAL OF NUTRITION$$x1436-6207
000074925 8564_ $$s1065358$$uhttps://zaguan.unizar.es/record/74925/files/texto_completo.pdf$$yVersión publicada
000074925 8564_ $$s61767$$uhttps://zaguan.unizar.es/record/74925/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000074925 909CO $$ooai:zaguan.unizar.es:74925$$particulos$$pdriver
000074925 951__ $$a2020-01-17-22:11:20
000074925 980__ $$aARTICLE