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Abstract：
We recently presented associations between serum-based biomarkers of carotenoid and tocopherol intake and chronic disease risk in a Women\'s Health Initiative (WHI) Measurement Precision subcohort (n = 5488). Questions remain as to whether self-reported dietary data can usefully augment such biomarkers or can be calibrated using biomarkers for reliable disease association estimation in larger WHI cohorts.
The aims were to examine the potential of FFQ data to explain intake variation in a WHI Feeding Study and to compare association parameter estimates and their precision from studies based on biomarker-calibrated FFQ intake in larger WHI cohorts, with those previously presented.
Serum-based intake measures were augmented by using FFQ data in a WHI Feeding Study (n = 153). Corresponding calibration equations were generated, both in a companion Nutritional Biomarker Study (n = 436) and in the previously mentioned subcohort (n = 5488), by regressing these intake measures on dietary data and participant characteristics, for α- and β-carotene, lutein plus zeaxanthin, and α-tocopherol. The supplemental value of FFQ data was considered by examining the fraction of feeding study intake variation explained by these regression models. Calibrated intake and disease association analyses were evaluated by comparisons with previously reported subcohort results.
The inclusion of FFQ data led to some increases in feeding study intake variation explained (total R2 of ∼50%). Calibrated intake estimates explained 25-75% of serum-based intake variation, whether developed using either of the 2 cohort subsamples. Related disease associations for micronutrients were precisely estimated in larger WHI cohorts (n = 76,691) but were often closer to the null compared with previously reported associations.
FFQ data may usefully augment blood concentrations in estimating the intake of carotenoids and tocopherols. Calibrated intake estimates using FFQ, dietary supplement, and participant characteristics only may require further justification to ensure reliable estimation of related disease associations.
The aims were to examine the potential of FFQ data to explain intake variation in a WHI Feeding Study and to compare association parameter estimates and their precision from studies based on biomarker-calibrated FFQ intake in larger WHI cohorts, with those previously presented.
Serum-based intake measures were augmented by using FFQ data in a WHI Feeding Study (n = 153). Corresponding calibration equations were generated, both in a companion Nutritional Biomarker Study (n = 436) and in the previously mentioned subcohort (n = 5488), by regressing these intake measures on dietary data and participant characteristics, for α- and β-carotene, lutein plus zeaxanthin, and α-tocopherol. The supplemental value of FFQ data was considered by examining the fraction of feeding study intake variation explained by these regression models. Calibrated intake and disease association analyses were evaluated by comparisons with previously reported subcohort results.
The inclusion of FFQ data led to some increases in feeding study intake variation explained (total R2 of ∼50%). Calibrated intake estimates explained 25-75% of serum-based intake variation, whether developed using either of the 2 cohort subsamples. Related disease associations for micronutrients were precisely estimated in larger WHI cohorts (n = 76,691) but were often closer to the null compared with previously reported associations.
FFQ data may usefully augment blood concentrations in estimating the intake of carotenoids and tocopherols. Calibrated intake estimates using FFQ, dietary supplement, and participant characteristics only may require further justification to ensure reliable estimation of related disease associations.
摘要：
我们最近在妇女健康倡议（WHI）测量精度亚组（n=5488）中提出了类胡萝卜素和生育酚摄入量的血清生物标志物与慢性疾病风险之间的关联。关于自我报告的饮食数据是否可以有效地增强此类生物标志物或可以使用生物标志物进行校准以在更大的WHI队列中进行可靠的疾病关联估计的问题仍然存在。
目的是检查FFQ数据在WHI喂养研究中解释摄入量变化的潜力，并比较基于较大WHI队列中生物标志物校准的FFQ摄入量的研究的关联参数估计及其精度。与先前提出的。
通过在WHI喂养研究中使用FFQ数据来增强基于血清的摄入测量(n=153)。生成相应的校准方程，在伴随的营养生物标志物研究(n=436)和前面提到的子队列(n=5488)中，通过将这些摄入量与饮食数据和参与者特征进行回归，对于α-和β-胡萝卜素，叶黄素加玉米黄质,和α-生育酚。通过检查由这些回归模型解释的喂养研究摄入量变化的分数来考虑FFQ数据的补充值。通过与先前报告的子队列结果的比较来评估校准的摄入量和疾病关联分析。
纳入FFQ数据导致喂养研究摄入量变化的一些增加（总R2为50%）。校准摄入量估计值解释了25-75%的基于血清的摄入量变化，是否使用2个队列子样本中的任何一个进行开发。在较大的WHI队列（n=76,691）中精确估计了微量营养素的相关疾病关联，但与先前报道的关联相比，通常更接近零。
FFQ数据在估计类胡萝卜素和生育酚的摄入量时可以有效地增加血液浓度。使用FFQ校准的摄入量估计值，膳食补充剂，和参与者的特征可能需要进一步的理由，以确保相关疾病关联的可靠估计。
目的是检查FFQ数据在WHI喂养研究中解释摄入量变化的潜力，并比较基于较大WHI队列中生物标志物校准的FFQ摄入量的研究的关联参数估计及其精度。
通过在WHI喂养研究中使用FFQ数据来增强基于血清的摄入测量(n=153)。
纳入FFQ数据导致喂养研究摄入量变化的一些增加（总R2为50%）。
FFQ数据在估计类胡萝卜素和生育酚的摄入量时可以有效地增加血液浓度。
