Statistical issues in analyzing 24-hour dietary recall and 24-hour urine collection data for sodium and potassium intakes
Statistical issues in analyzing 24-hour dietary recall and 24-hour urine collection data for sodium and potassium intakes
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DOI：
10.1093/aje/153.10.996
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发表时间：
2001-05-15
影响因子：
5
通讯作者：
McFarlane, M
中科院分区：
文献类型：
--
作者：
Espeland, MA;Kumanyika, S;McFarlane, M
饮食召回和尿液检测为评估钠和钾摄入量提供了不同的指标。从这两种测量模式获得的数据的均值、方差和相关性不同。这些数据的汇总并不简单，采用不同模式的研究结果可能不具有可比性。为了探索这些指标之间的差异，作者使用了老年人非药物干预试验（TONE）的数据，其中包括3年随访期间重复的标准化24小时饮食回忆和24小时尿液收集，以估计钠和钾的摄入量。作者检查了1992年8月至1995年12月期间收集的341名分配到常规护理的对照参与者的数据。饮食回忆得出的钠摄入量估计值平均比尿液检测结果低22%，钾摄入量估计值平均比尿液检测结果高16%。钠摄入量估计值的可重复性（饮食r = 0.22;尿液r = 0.30）低于钾摄入量估计值（饮食r= 0.49;尿液r= 0.50），使得与结局的关系更难描述。总体而言，两种测量模式的性能在人口统计学亚组中相当相似。使用短期数据单独估计长期钠和钾摄入量的误差具有很强的相关性，比这些电解质的潜在长期摄入量更强。由于相关的测量误差，包括两种电解质作为预测因子的线性模型的估计回归系数可能会混淆，使得这些营养素和结果（如血压）之间的单独关系无法通过常见的分析策略可靠地估计。
Dietary recalls and urine assays provide different metrics for assessing sodium and potassium intakes. Means, variances, and correlations of data obtained from these two modes of measurement differ. Pooling of these data is not straightforward, and results from studies employing the different modes may not be comparable. To explore differences between these metrics, the authors used data from the Trial of Nonpharmacologic Intervention in the Elderly (TONE), which included repeated standardized 24-hour dietary recalls and 24-hour urine collections administered over 3 years of follow-up, to estimate sodium and potassium intakes. The authors examined data from 341 control participants assigned to usual care that were collected between August 1992 and December 1995. Dietary recalls yielded estimates of sodium intake that averaged 22% less than those from urine assays and estimates of potassium intake that averaged 16% greater than those from urine assays. Sodium intake estimates were less repeatable (r = 0.22 for diet; r = 0.30 for urine) than potassium intake estimates (r= 0.49 for diet; r= 0.50 for urine), making relations with outcomes more difficult to characterize. Overall, the performance of the two measurement modes was fairly similar across demographic subgroups. Errors in separate estimations of long term sodium and potassium intakes using short term data were strongly correlated, more strongly than the underlying long term intakes of these electrolytes. Because of the correlated measurement error, estimated regression coefficients for linear models including both electrolytes as predictors may be confounded such that the separate relations between these nutrients and outcomes such as blood pressure cannot be reliably estimated by common analytical strategies.