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基于生物标志物的宏量营养素摄入量与绝经后女性慢性病风险

Biomarker-Calibrated Macronutrient Intake and Chronic Disease Risk among Postmenopausal Women.

机构信息

Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

School of Public Health, University of Washington, Seattle, WA, USA.

出版信息

J Nutr. 2021 Aug 7;151(8):2330-2341. doi: 10.1093/jn/nxab091.

Abstract

BACKGROUND

Knowledge about macronutrient intake and chronic disease risk has been limited by the absence of objective macronutrient measures. Recently, we proposed novel biomarkers for protein, protein density, carbohydrate, and carbohydrate density, using established biomarkers and serum and urine metabolomics profiles in a human feeding study.

OBJECTIVES

We aimed to use these biomarkers to develop calibration equations for macronutrient variables using dietary self-reports and personal characteristics and to study the association between biomarker-calibrated intake estimates and cardiovascular disease, cancer, and diabetes risk in Women's Health Initiative (WHI) cohorts.

METHODS

Prospective disease association analyses are based on WHI cohorts of postmenopausal US women aged 50-79 y when enrolled at 40 US clinical centers (n = 81,954). We used biomarker intake values in a WHI nutritional biomarker study (n = 436) to develop calibration equations for each macronutrient variable, leading to calibrated macronutrient intake estimates throughout WHI cohorts. We then examined the association of these intakes with chronic disease incidence over a 20-y (median) follow-up period using HR regression methods.

RESULTS

In analyses that included doubly labeled water-calibrated total energy, HRs for cardiovascular diseases and cancers were mostly unrelated to calibrated protein density. However, many were inversely related to carbohydrate density, with HRs (95% CIs) for a 20% increment in carbohydrate density of 0.81 (0.69, 0.95) and 0.83 (0.74, 0.93), respectively, for primary outcomes of coronary heart disease and breast cancer, as well as 0.74 (0.60, 0.91) and 0.87 (0.81, 0.93) for secondary outcomes of heart failure and total invasive cancer. Corresponding HRs (95% CIs) for type 2 diabetes incidence in relation to protein density and carbohydrate density were 1.17 (1.09, 1.75) and 0.73 (0.66, 0.80), respectively.

CONCLUSIONS

At specific energy intake, a diet high in carbohydrate density is associated with substantially reduced risk of major chronic diseases in a population of US postmenopausal women. This trial was registered at clinicaltrials.gov as NCT00000611.

摘要

背景

由于缺乏客观的宏量营养素测量方法,人们对宏量营养素摄入与慢性疾病风险的了解受到限制。最近,我们使用已建立的生物标志物和血清及尿液代谢组学图谱,在一项人体喂养研究中提出了蛋白质、蛋白质密度、碳水化合物和碳水化合物密度的新生物标志物。

目的

我们旨在使用这些生物标志物,通过膳食自我报告和个人特征,为宏量营养素变量开发校准方程,并研究生物标志物校准摄入量估计值与妇女健康倡议 (WHI) 队列中心血管疾病、癌症和糖尿病风险之间的关联。

方法

前瞻性疾病关联分析基于参加美国 40 个临床中心(n=81954 名)的绝经后美国女性的 WHI 队列。我们使用 WHI 营养生物标志物研究(n=436)中的生物标志物摄入量来为每个宏量营养素变量开发校准方程,从而在 WHI 队列中得到校准的宏量营养素摄入量估计值。然后,我们使用 HR 回归方法,在 20 年(中位数)随访期间,检查这些摄入量与慢性疾病发病率之间的关联。

结果

在包含双标记水校准总能量的分析中,心血管疾病和癌症的 HR 与校准的蛋白质密度大多没有关系。然而,许多与碳水化合物密度呈负相关,碳水化合物密度每增加 20%,冠心病和乳腺癌的主要结局的 HR(95%CI)分别为 0.81(0.69,0.95)和 0.83(0.74,0.93),心力衰竭和总侵袭性癌症的次要结局分别为 0.74(0.60,0.91)和 0.87(0.81,0.93)。与蛋白质密度和碳水化合物密度相关的 2 型糖尿病发病率的相应 HR(95%CI)分别为 1.17(1.09,1.75)和 0.73(0.66,0.80)。

结论

在特定的能量摄入水平下,美国绝经后女性的高碳水化合物密度饮食与主要慢性疾病的风险显著降低有关。这项试验在 clinicaltrials.gov 注册为 NCT00000611。

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