000057900 001__ 57900 000057900 005__ 20200221144332.0 000057900 0247_ $$2doi$$a10.1159/000446197 000057900 0248_ $$2sideral$$a95258 000057900 037__ $$aART-2016-95258 000057900 041__ $$aeng 000057900 100__ $$aGandy, J. 000057900 245__ $$aRelevance of assessment methods for fluid intake 000057900 260__ $$c2016 000057900 5060_ $$aAccess copy available to the general public$$fUnrestricted 000057900 5203_ $$aReliable data at population level are essential to firmly establish links between fluid intake, hydration and health, investigate dose-response relationships and develop meaningful public health strategies or reference intake values. However, limited research exists regarding the most appropriate methodology for assessing beverage or total fluid intake (TFI). To date, methodologies have been developed to assess food and nutrient intake without due consideration of water or fluid intake behavior. A recent crossover study showed that a 24-hour food recall significantly underestimated mean TFI by 382 ml (95% CI 299-465) compared with a fluid specific 7-day record. The authors postulated that this average difference was mainly the result of missed drinking acts between meals a 24-hour recall was used. Using a 7-day record administered in paper form or on-line has also been shown to lead to a significantly different mean TFI of 129 ml. Therefore, the choice of methodology might result in measurement errors that limit between-survey or between-country comparisons. Such errors may contribute to variations in estimates of TFI that cannot be explained by differences in climate, physical activity or cultural habits. A recent survey confirmed the variation in methodologies used in European national dietary surveys. Since these surveys form the basis for setting adequate intakes for total water intake, measurement error between surveys should be limited, highlighting the need for the development of a consistent methodology that is validated for water and TFI estimation. 000057900 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000057900 590__ $$a2.424$$b2016 000057900 591__ $$aNUTRITION & DIETETICS$$b43 / 81 = 0.531$$c2016$$dQ3$$eT2 000057900 591__ $$aENDOCRINOLOGY & METABOLISM$$b87 / 138 = 0.63$$c2016$$dQ3$$eT2 000057900 592__ $$a1.215$$b2016 000057900 593__ $$aNutrition and Dietetics$$c2016$$dQ1 000057900 593__ $$aMedicine (miscellaneous)$$c2016$$dQ1 000057900 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000057900 700__ $$aMartinez, H. 000057900 700__ $$aGuelinckx, I. 000057900 700__ $$0(orcid)0000-0003-0454-653X$$aMoreno, L.A.$$uUniversidad de Zaragoza 000057900 700__ $$aBardosono, S. 000057900 700__ $$aSalas-Salvad, J. 000057900 700__ $$aKavouras, S.A. 000057900 7102_ $$11006$$2255$$aUniversidad de Zaragoza$$bDpto. Fisiatría y Enfermería$$cÁrea Enfermería 000057900 773__ $$g68, 2 (2016), 1-5$$pAnn. nutr. metab.$$tANNALS OF NUTRITION AND METABOLISM$$x0250-6807 000057900 8564_ $$s72422$$uhttps://zaguan.unizar.es/record/57900/files/texto_completo.pdf$$yVersión publicada 000057900 8564_ $$s105335$$uhttps://zaguan.unizar.es/record/57900/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000057900 909CO $$ooai:zaguan.unizar.es:57900$$particulos$$pdriver 000057900 951__ $$a2020-02-21-13:45:58 000057900 980__ $$aARTICLE