Calibration of self-reported dietary measures using biomarkers: an approach to enhancing nutritional epidemiology reliability.
Calibration of self-reported dietary measures using biomarkers: an approach to enhancing nutritional epidemiology reliability.
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DOI：
10.1007/s11883-013-0353-5
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发表时间：
2013-09
影响因子：
5.8
通讯作者：
Neuhouser, Marian L.
中科院分区：
文献类型：
--
作者：
Prentice, Ross L.;Tinker, Lesley F.;Huang, Ying;Neuhouser, Marian L.
营养流行病学研究报告缺乏可靠性，如果仅仅基于自我报告的饮食消费估计。饮食中的某些成分可获得消耗生物标志物。这些可以在研究队列的子集中收集，沿着相应的自我报告评估。（对数转换的）生物标志物值对相应的自我报告值和其他相关研究受试者特征的线性回归产生饮食消耗的校准方程，从中可以计算整个研究队列的校准消耗估计值。营养流行病学疾病关联研究的可靠性增强，可以预期从分析，涉及疾病风险校准消费估计。将简要总结妇女健康倡议中能量和蛋白质消耗与心血管疾病、2型糖尿病和癌症相关研究的应用。此外，将描述与可能介导或混淆感兴趣的关联的变量相关的挑战，沿着需要纵向生物标志物和自我报告数据，以及需要额外的营养生物标志物开发。
Reports from nutritional epidemiology studies lack reliability if based solely on self-reported dietary consumption estimates. Consumption biomarkers are available for some components of diet. These can be collected in subsets of study cohorts, along with corresponding self-report assessments. Linear regression of (log-transformed) biomarker values on corresponding self-report values and other pertinent study subject characteristics yields calibration equations for dietary consumption, from which calibrated consumption estimates can be calculated throughout study cohorts. Nutritional epidemiology disease association studies of enhanced reliability can be expected from analyses that relate disease risk to calibrated consumption estimates. Applications to the study of energy and protein consumption in relation to cardiovascular diseases, type 2 diabetes, and cancer in the Women’s Health Initiative will be briefly summarized. Also, challenges related to variables that may either mediate or confound associations of interest will be described, along with the need for longitudinal biomarker and self-report data, and the need for additional nutritional biomarkers development.
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影响因子：
158.5
作者：
Knowler, WC;Barrett-Connor, E;Nathan, DM
通讯作者：
Nathan, DM
影响因子：
5
作者：
Prentice, Ross L.;Mossavar-Rahmani, Yasmin;Neuhouser, Marian L.
通讯作者：
Neuhouser, Marian L.
影响因子：
4.2
作者：
Bingham, SA
通讯作者：
Bingham, SA
影响因子：
4.2
作者：
Beasley, Jeannette M.;Aragaki, Aaron K.;Prentice, Ross L.
通讯作者：
Prentice, Ross L.
影响因子：
4.2
作者：
Schoeller, DA
通讯作者：
Schoeller, DA