大量营养素摄入模式与加速生物老化和预期寿命的关联:来自英国生物银行的一项基于人群的研究的证据

Peng Wang, Yiming Wang, Ping Xiang, Binyu Bai, Biao Xie, Dan Shi
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引用次数: 0

摘要

背景:大量营养素摄入与加速生物衰老和预期寿命之间的关系尚不清楚。方法共纳入英国生物银行56,555名参与者。通过Oxford WebQ评估常量营养素摄入模式,包括总体低碳水化合物饮食(LCD)、低脂肪饮食(LFD)、低蛋白质饮食(LPD)、低动物蛋白饮食(LAPD)、低植物蛋白饮食(LVPD)、低动物脂肪饮食(LAFD)、低植物脂肪饮食(LVFD)和健康植物性饮食指数(hPDI)。计算klemera - double - method Biological Age acceleration (KDM-BA Accel)和PhenoAge acceleration (PhenoAge Accel)来评估生物加速老化。采用多变量广义线性回归估计β和95%置信区间(CI)。通过比例风险生存分析评估预期寿命。结果:我们观察到总体LCD和LFD与生物衰老有一致的显著关联,但LPD与生物衰老无关。然而,总体宏量营养素摄入模式与预期寿命无关。与最低分蘖相比,最高分蘖对LLQCD、LAPD、LAFD和hPDI的依从性降低了-0.901 (95% CI:-1.025, -0.778), -0.762 (-0.888, -0.637), -0.996 (-1.121, -0.870), -0.113 (-0.127, -0.099) KDM-BA-Accel年,-0.847(-0.933,-0.761),-0.497(-0.585,-0.409),-0.950(-1.038,-0.863),-0.221(-0.241,-0.200)表型- accel年,以及分别增加1.666(1.039,2.294),1.538(0.912,2.164),1.381(0.757,2.006)和2.650(2.007,3.292)生命年。相反,LHQCD、LVPD和LVFD与生物老化加速和预期寿命缩短有关。结论本研究表明,在影响生物衰老和预期寿命方面,宏量营养素摄入模式的质量可能比总体模式更重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associations of macronutrient intake patterns with accelerated biological ageing and life expectancy: Evidence from a population-based study in the UK Biobank
BACKGROUND The associations of macronutrient intake with accelerated biological aging and life expectancy remain unclear. METHODS In total, 56,555 participants in the UK Biobank were included. Macronutrient intake patterns, including overall low-carbohydrate-diet (LCD), low-fat-diet (LFD), low-protein-diet (LPD), low-animal-protein diet (LAPD), low-vegetable-protein diet (LVPD), low-animal-fat diet (LAFD), low-vegetable-fat diet (LVFD), and healthful plant-based diet index (hPDI), were assessed via the Oxford WebQ. Klemera-Doubal-Method Biological Age acceleration (KDM-BA Accel) and PhenoAge acceleration (PhenoAge Accel) were computed to assess accelerated biological aging. Multivariable generalized linear regressions were conducted to estimate the β and 95% confidence intervals (CI). Life expectancy was assessed by proportional hazards survival analysis. RESULTS We observed consistent significant associations of overall LCD and LFD, but not LPD, with biological aging. However, overall macronutrient intake patterns were not related to life expectancy. Compared with the lowest tertile, adherence to the LLQCD, LAPD, LAFD and hPDI in the highest tertile were associated with decreases of -0.901 (95% CI: -1.025, -0.778), -0.762 (-0.888, -0.637), -0.996 (-1.121, -0.870), and -0.113 (-0.127, -0.099) KDM-BA-Accel years, and -0.847 (-0.933, -0.761), -0.497 (-0.585, -0.409), -0.950 (-1.038, -0.863), and -0.221 (-0.241, -0.200) PhenoAge-Accel years, as well as additional gains of 1.666 (1.039, 2.294), 1.538 (0.912, 2.164), 1.381 (0.757, 2.006), and 2.650 (2.007, 3.292) life years, respectively. Conversely, LHQCD, LVPD, and LVFD were associated with accelerated biological aging and shorten life expectancy. CONCLUSIONS This study demonstrates that the quality of macronutrient intake patterns may be more important than overall patterns in influencing biological aging and life expectancy.
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