《中国河北地区年轻人饮水量与水合生物标志物的关系及其评估充足总饮水量的应用》。
The Relationships between Water Intake and Hydration Biomarkers and the Applications for Assessing Adequate Total Water Intake among Young Adults in Hebei, China.
机构信息
Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing 100191, China.
Laboratory of Toxicological Research and Risk Assessment for Food Safety, Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing 100191, China.
出版信息
Nutrients. 2021 Oct 26;13(11):3805. doi: 10.3390/nu13113805.
Water is an essential nutrient for humans. A cross-sectional study was conducted among 159 young adults aged 18-23 years in Hebei, China. The total drinking fluids and water from food were obtained by 7-day 24 h fluid intake questionnaires and the duplicate portion method, respectively. Pearson's correlation coefficients were performed to determine the relationship between fluid intake and 24 h urinary biomarkers and plasma biomarkers. A multivariable partial least squares (PLS) model was used to identify the key predictors in modeling the total water intake (TWI) with 24 h urine biomarkers. Logistic regressions of the TWI against binary variables were performed, and the receiver operating characteristic curve (ROC) was analyzed to determine the cutoff value of the TWI for the optimal hydration status and dehydration without adjustments to favor either the sensitivity or specificity. In total, 156 participants (80 males and 76 females) completed the study. Strong relationships were found between the total drinking fluids, TWI, and 24 h urine biomarkers among young adults, especially for the 24 h urine volume ( = 0.784, < 0.001; = 0.747, < 0.001) and osmolality ( = -0.589, < 0.001; = -0.477, < 0.001), respectively. As for the FMU and plasma biomarkers, no strong relationships were found. The percentages of the variance in TWI explained by the PLS model with 13 urinary biomarkers were 66.9%. The optimal TWI values for assessing the optimal hydration and dehydration were 2892 mL and 2482 mL for young males, respectively, and 2139 mL and 1507 mL for young females, respectively. Strong relationships were found between the TWI, total drinking fluids, and 24 h urine biomarkers, but not with the FMU and plasma biomarkers, among young adults, including males and females. The 24 h urine biomarkers were more sensitive than the first morning urinary biomarkers in reflecting the fluid intake. The TWI was a reliable index for assessing the hydration statuses for young adults in free-living conditions.
水是人类必需的营养素。在中国河北，对 159 名年龄在 18-23 岁的年轻人进行了一项横断面研究。通过 7 天 24 小时液体摄入问卷和双份部分法分别获得总液体摄入和食物中的水分。采用 Pearson 相关系数确定液体摄入与 24 小时尿液生物标志物和血浆生物标志物之间的关系。使用多元偏最小二乘法（PLS）模型，通过 24 小时尿液生物标志物建立总水分摄入（TWI）的模型，识别关键预测因子。对 TWI 与二项变量进行逻辑回归，分析受试者工作特征曲线（ROC），确定 TWI 的最佳截断值，以评估最佳水合状态和脱水状态，无需调整以偏向敏感性或特异性。共有 156 名参与者（80 名男性和 76 名女性）完成了研究。在年轻人中，总饮水量、TWI 和 24 小时尿液生物标志物之间存在很强的相关性，特别是 24 小时尿量（r=0.784，P<0.001；r=0.747，P<0.001）和渗透压（r=-0.589，P<0.001；r=-0.477，P<0.001）。对于 FMU 和血浆生物标志物，未发现强相关性。由 13 个尿液生物标志物组成的 PLS 模型解释 TWI 方差的百分比为 66.9%。评估最佳水合和脱水状态的最佳 TWI 值分别为年轻男性 2892mL 和 2482mL，年轻女性 2139mL 和 1507mL。在男性和女性年轻人中，TWI、总饮水量和 24 小时尿液生物标志物之间存在很强的相关性，但与 FMU 和血浆生物标志物之间没有相关性。24 小时尿液生物标志物比第一次晨尿生物标志物更能敏感地反映液体摄入情况。TWI 是评估年轻人自由生活条件下水合状态的可靠指标。
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