Suppr超能文献

基于从多个随机尿样中获得的尿素氮与肌酐浓度之比制定的公式,可用于预测群体水平的蛋白质摄入量,但不适用于个体水平。

Formulas developed based on the ratio of urea nitrogen to creatinine concentrations obtained from multiple spot urine samples are acceptable to predict protein intake at group level but not at individual level.

作者信息

Yuan Xiaoyi, Murakami Kentaro, Asakura Keiko, Uechi Ken, Masayasu Shizuko, Sasaki Satoshi

机构信息

Department of Social and Preventive Epidemiology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.

Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo 113-0033, Japan.

出版信息

Nutr Res. 2020 Jun;78:50-59. doi: 10.1016/j.nutres.2020.04.004. Epub 2020 Apr 29.

Abstract

In this study, we hypothesized that spot urine can be used to predict protein intake at both group and individual levels. Participants (n = 369) of this study were recruited from all 47 prefectures in Japan. Sex-specific formulas were developed based on the ratio of urea nitrogen to creatinine concentration obtained from 3 spot urine samples. Validity of the formulas was examined against two 24-hour urine collections for 7 combinations of spot urine (single and means of 2 or 3 samples) using t test (mean estimation), Spearman correlation, and Bland-Altman plot (individual bias). Means of measured protein intake based on 24-hour urinary excretions were 87.3 g/d (standard deviation 19.7) for men and 70.5 g/d (standard deviation 14.7) for women. Irrespective of sex, the predicted intakes were not significantly different (within 2.7% of differences) from those measured by urinary excretions. Predicted intakes were moderately correlated with measured intakes (men, 0.45-0.60; women, 0.35-0.53). Even after using the mean of 3 samples, Bland-Altman plots showed a considerably wide limit of agreement (men, -30 to 33 g/d; women, -27 to 24 g/d). Except for using single spot urine samples in women, the formula tended to overestimate intake at a lower and underestimate at a higher level of protein intake (slope: men, -0.47 [P < .0001]; women, -0.38 [P = .002]). In conclusion, predictive formulas developed in this study can be used to predict protein intake at group level or to rank individuals' intake but not to predict absolute intake at individual level.

摘要

在本研究中,我们假设随机尿可用于在群体和个体层面预测蛋白质摄入量。本研究的参与者(n = 369)来自日本所有47个县。基于从3份随机尿样本中获得的尿素氮与肌酐浓度之比,制定了性别特异性公式。使用t检验(均值估计)、Spearman相关性分析和Bland-Altman图(个体偏差),针对7种随机尿组合(单个样本以及2个或3个样本的均值)的两次24小时尿样收集,检验了公式的有效性。基于24小时尿排泄量测得的男性蛋白质摄入量均值为87.3 g/d(标准差19.7),女性为70.5 g/d(标准差14.7)。无论性别如何,预测摄入量与通过尿排泄量测得的摄入量无显著差异(差异在2.7%以内)。预测摄入量与测得摄入量呈中度相关(男性,0.45 - 0.60;女性,0.35 - 0.53)。即使使用3个样本的均值,Bland-Altman图显示一致性界限仍相当宽(男性,-30至33 g/d;女性,-27至24 g/d)。除了女性使用单个随机尿样本外,该公式在蛋白质摄入量较低时往往高估摄入量,而在摄入量较高时往往低估摄入量(斜率:男性,-0.47 [P <.0001];女性,-0.38 [P =.002])。总之,本研究中制定的预测公式可用于在群体层面预测蛋白质摄入量或对个体摄入量进行排序,但不能用于预测个体层面的绝对摄入量。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验