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Associations of Biomarker-Calibrated Intake of Total Sugars With the Risk of Type 2 Diabetes and Cardiovascular Disease in the Women's Health Initiative Observational Study

机译:妇女健康倡议观测研究中,生物标志物校准总糖的摄入量的糖尿病患者的风险和心血管疾病的缔合

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摘要

The inconsistent findings from epidemiologic studies relating total sugars (TS) consumption to cardiovascular disease (CVD) or type 2 diabetes (T2D) risk may be partly due to measurement error in self-reported intake. Using regression calibration equations developed based on the predictive biomarker for TS and recovery biomarker for energy, we examined the association of TS with T2D and CVD risk, before and after dietary calibration, in 82,254 postmenopausal women participating in the Women's Health Initiative Observational Study. After up to 16 years of follow-up (1993-2010), 6,621 T2D and 5,802 CVD incident cases were identified. The hazard ratio for T2D per 20% increase in calibrated TS was 0.94 (95% confidence interval (CI): 0.77, 1.15) in multivariable energy substitution, and 1.00 (95% CI: 0.85, 1.18) in energy partition models. Multivariable hazard ratios for total CVD were 0.97 (95% CI: 0.87, 1.09) from energy substitution, and 0.91 (95% CI: 0.80, 1.04) from energy partition models. Uncalibrated TS generated a statistically significant inverse association with T2D and total CVD risk in multivariable energy substitution and energy partition models. The lack of conclusive findings from our calibrated analyses may be due to the low explanatory power of the calibration equations for TS, which could have led to incomplete deattenuation of the risk estimates.
机译:流行病学研究的不一致结果将总糖(TS)消耗与心血管疾病(CVD)或2型糖尿病(T2D)风险有部分原因是自我报告的摄入中的测量误差。使用基于预测生物标志物开发的回归校准方程对于用于能量的TS和Recovery Biomarker,我们在膳食校准之前和之后进行了TS和CVD风险,在妇女的健康倡议观察研究中的82,254名绝经后妇女之前和饮食校准之前和后期。在长达16年后的后续行动(1993-2010)后,确定了6,621 T2D和5,802个CVD入射案件。多变量能量取代中,校准TS的每20%的T2D的危险比为0.94(95%置信区间(CI):0.77,15),在能量分区模型中为1.00(95%CI:0.85,1.18)。总CVD的多变量危险比是从能量取代的0.97(95%CI:0.87,1.09),以及从能量分区模型的0.91(95%CI:0.80,1.04)。未校准TS在多变量能量替代和能量分区模型中产生了与T2D的统计学显着的反相和总CVD风险。我们校准分析中缺乏决定性发现可能是由于TS的校准方程的低解释性,这可能导致风险估算的不完全偏移。

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