Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
School of Public Health, University of Washington, Seattle, WA, USA.
Am J Clin Nutr. 2020 Jul 1;112(1):168-179. doi: 10.1093/ajcn/nqaa034.
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.
我们最近在妇女健康倡议(WHI)测量精度子队列(n=5488)中报告了血清类胡萝卜素和生育酚摄入的生物标志物与慢性疾病风险之间的关联。问题仍然是,自我报告的饮食数据是否可以有效地补充这些生物标志物,或者是否可以使用生物标志物为更大的 WHI 队列中可靠的疾病关联估计进行校准。
本研究旨在检验 FFQ 数据在 WHI 喂养研究中解释摄入量变化的潜力,并比较基于生物标志物校准 FFQ 摄入量的更大 WHI 队列研究中的关联参数估计值及其精度,与之前报道的结果进行比较。
在 WHI 喂养研究(n=153)中,通过使用 FFQ 数据来增加基于血清的摄入量测量。通过在配套营养生物标志物研究(n=436)和之前提到的子队列(n=5488)中回归这些摄入量测量值与饮食数据和参与者特征,为α-和β-胡萝卜素、叶黄素加玉米黄质和α-生育酚生成相应的校准方程。通过检查这些回归模型解释喂养研究摄入量变化的比例,来考虑 FFQ 数据的补充价值。通过与之前报道的子队列结果进行比较,评估了校准后的摄入量和疾病关联分析。
纳入 FFQ 数据后,喂养研究摄入量变化的解释率有所提高(总 R2 约为 50%)。使用两个队列子样本中的任何一个,校准后的摄入量估计值解释了血清摄入量变化的 25-75%。与微量营养素相关的疾病关联在更大的 WHI 队列(n=76691)中得到了精确估计,但与之前报道的关联相比,通常更接近零。
FFQ 数据可用于补充血液浓度,以估计类胡萝卜素和生育酚的摄入量。仅使用 FFQ、膳食补充剂和参与者特征的校准摄入量估计值可能需要进一步证明,以确保可靠估计相关疾病关联。