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Relation between urinary hydration biomarkers and total fluid intake in healthy adults

机译:尿液水合生物标志物与健康成人总液体摄入的关系

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Background/objectives: In sedentary adults, hydration is mostly influenced by total fluid intake and not by sweat losses; moreover, low daily fluid intake is associated with adverse health outcomes. This study aimed to model the relation between total fluid intake and urinary hydration biomarkers. Subjects/methods: During 4 consecutive weekdays, 82 adults (age, 31.6±4.3 years; body mass index, 23.2±2.7 kg/m 2; 52% female) recorded food and fluid consumed, collected one first morning urine (FMU) void and three 24-h (24hU) samples. The strength of linear association between urinary hydration biomarkers and fluid intake volume was evaluated using simple linear regression and Pearson's correlation. Multivariate partial least squares (PLS) modeled the association between fluid intake and 24hU hydration biomarkers. Results: Strong associations (|r|≥0.6; P0.001) were found between total fluid intake volume and 24hU osmolality, color, specific gravity (USG), volume and solute concentrations. Many 24hU biomarkers were collinear (osmolality versus color: r=0.49-0.76; USG versus color: r=0.46-0.78; osmolality versus USG: 0.86-0.97; P0.001). Measures in FMU were not strongly correlated to intake. Multivariate PLS and simple linear regression using urine volume explained 50% of the variance in fluid intake volume (r2 = 0.59 and 0.52, respectively); however the error in both models was high and the limits of agreement very large. Conclusions: Hydration biomarkers in 24hU are strongly correlated with daily total fluid intake volume in sedentary adults in free-living conditions; however, the margin of error in the present models limits the applicability of estimating fluid intake from urinary biomarkers.
机译:背景/目标:在久坐不动成人中,水合主要受到总流体摄入的影响,而不是由汗水损失影响;此外,低日常流体摄入与不良健康结果有关。本研究旨在模拟总流体摄入和尿液水合生物标志物之间的关系。主题/方法:连续4天,82名成人(年龄,31.6±4.3岁;体重指数,23.2±2.7 kg / m 2; 52%的女性)记录食物和液体消耗,收集了第一夜尿液(FMU)空隙和三个24小时(24湖)样本。利用简单的线性回归和Pearson的相关性评估尿液水合生物标志物与液体进气体积之间的线性关联强度。多变量偏最小二乘(PLS)建模了流体摄入和24 HU水合生物标志物之间的关联。结果:在总流体进气体积和24U渗透压,颜色,比重(USG),体积和溶质浓度之间,发现强缔源(|≥0.6; p <0.001)。许多24UH生物标志物是共线(Osmolality与颜色:R = 0.49-0.76; USG与颜色:R = 0.46-0.78;渗透性与USG:0.86-0.97; P <0.001)。 FMU中的措施与摄入不相关。使用尿量的多变量PLS和简单的线性回归解释&流体进气量的50%的差异(分别分别为0.59和0.52);然而,两种型号的错误都很高,非常大的协议限制。结论:24 HU的水合生物标志物与久入成人的每日总液进口量强烈相关;然而,本模型中的误差幅度限制了估算液体摄入的适用性尿生物标志物。

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