Characterizing Measurement Error in Dietary Sodium in Longitudinal Intervention Studies.
Characterizing Measurement Error in Dietary Sodium in Longitudinal Intervention Studies.
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DOI：
10.3389/fnut.2020.581439
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发表时间：
2020
影响因子：
5
通讯作者：
Siddique J
中科院分区：
文献类型：
--
作者：
Pittman A;Stuart EA;Siddique J
背景：以前调查营养生物标志物与自我报告摄入水平之间关系的测量误差工作通常是在单个时间点、单个治疗组或基本患者人口统计数据上进行的。很少有研究检查纵向随机试验中的测量误差结构，以及误差是否随时间或组别而变化。然而，为了纠正自我报告结果中的测量误差并正确解释饮食干预的纵向影响，理解这种结构至关重要。方法：使用两项具有内部纵向验证数据（尿液生物标志物和自我报告值）的纵向随机对照试验，我们检查尿钠和自我报告钠之间的关系，以及这种关系是否随着时间和/或治疗条件而变化。我们通过构建混合效应回归模型来实现这一点，允许灵活的误差方差-协方差结构，并测试时间、治疗条件和自我报告摄入量之间所有可能的相互作用。结果：使用向后选择方法，我们为两个验证数据集得出了相同的最终模型。我们没有发现任何证据表明测量误差会随着自我报告的钠的变化而变化。然而，我们确实发现证据表明，即使以自我报告值为条件，尿钠也会因时间或治疗条件而有所不同。结论：在纵向营养干预试验中，测量误差可能因时间和治疗组的不同而不同。对于研究人员来说，重要的是要考虑这种可能性，而不仅仅是假设非差分测量误差。未来的研究应考虑数据收集策略，以考虑测量误差的潜在动态性质，例如在可能的情况下收集跨时间和治疗组的内部验证数据。
Background: Previous measurement error work that investigates the relationship between a nutritional biomarker and self-reported intake levels has typically been at a single time point, in a single treatment group, or with respect to basic patient demographics. Few studies have examined the measurement error structure in longitudinal randomized trials, and whether the error varies across time or group. This structure is crucial to understand, however, in order to correct for measurement error in self-reported outcomes and properly interpret the longitudinal effects of dietary interventions. Methods: Using two longitudinal randomized controlled trials with internal longitudinal validation data (urinary biomarkers and self-reported values), we examine the relationship between urinary sodium and self-reported sodium and whether this relationship changes as a function of time and/or treatment condition. We do this by building a mixed effects regression model, allowing for a flexible error variance-covariance structure, and testing all possible interactions between time, treatment condition, and self-reported intake. Results: Using a backward selection approach, we arrived at the same final model for both validation data sets. We found no evidence that measurement error changes as a function of self-reported sodium. However, we did find evidence that urinary sodium can differ by time or treatment condition even when conditioning on self-reported values. Conclusion: In longitudinal nutritional intervention trials it is possible that measurement error differs across time and treatment groups. It is important for researchers to consider this possibility and not just assume non-differential measurement error. Future studies should consider data collection strategies to account for the potential dynamic nature of measurement error, such as collecting internal validation data across time and treatment groups when possible.
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影响因子：
5.4
作者：
Hedrick VE;Dietrich AM;Estabrooks PA;Savla J;Serrano E;Davy BM
通讯作者：
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DOI：
10.1186/s12966-019-0774-9
发表时间：
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影响因子：
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作者：
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通讯作者：
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