Predicting urinary creatinine excretion and its usefulness to identify incomplete 24 h urine collections

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75010330%3A_____%2F12%3A00009724" target="_blank" >RIV/75010330:_____/12:00009724 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1017/S0007114511006295" target="_blank" >http://dx.doi.org/10.1017/S0007114511006295</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1017/S0007114511006295" target="_blank" >10.1017/S0007114511006295</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Predicting urinary creatinine excretion and its usefulness to identify incomplete 24 h urine collections

Popis výsledku v původním jazyce

Studies using 24 h urine collections need to incorporate ways to validate the completeness of the urine samples. Models to predict urinary creatinine excretion (UCE) have been developed for this purpose; however, information on their usefulness to identify incomplete urine collections is limited. We aimed to develop a model for predicting UCE and to assess the performance of a creatinine index using para-aminobenzoic acid (PABA) as a reference. Data were taken from the European Food Consumption Validation study comprising two nonconsecutive 24 h urine collections from 600 subjects in five European countries. Data from one collection were used to build a multiple linear regression model to predict UCE, and data from the other collection were used for performance testing of a creatinine index-based strategy to identify incomplete collections. Multiple linear regression (n 458) of UCE showed a significant positive association for body weight (beta = 0.07), the interaction term sex x weigh

Název v anglickém jazyce

Predicting urinary creatinine excretion and its usefulness to identify incomplete 24 h urine collections

Popis výsledku anglicky

Studies using 24 h urine collections need to incorporate ways to validate the completeness of the urine samples. Models to predict urinary creatinine excretion (UCE) have been developed for this purpose; however, information on their usefulness to identify incomplete urine collections is limited. We aimed to develop a model for predicting UCE and to assess the performance of a creatinine index using para-aminobenzoic acid (PABA) as a reference. Data were taken from the European Food Consumption Validation study comprising two nonconsecutive 24 h urine collections from 600 subjects in five European countries. Data from one collection were used to build a multiple linear regression model to predict UCE, and data from the other collection were used for performance testing of a creatinine index-based strategy to identify incomplete collections. Multiple linear regression (n 458) of UCE showed a significant positive association for body weight (beta = 0.07), the interaction term sex x weigh

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

FB - Endokrinologie, diabetologie, metabolismus, výživa

OECD FORD obor

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Projekt

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Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

British journal of nutrition

ISSN

0007-1145

e-ISSN

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Svazek periodika

108

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

8

Strana od-do

1118-1125

Kód UT WoS článku

000308583400020

EID výsledku v databázi Scopus

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