Yashin Anatoli I, Ukraintseva Svetlana V, Arbeev Konstantin G, Akushevich Igor, Arbeeva Liubov S, Kulminski Alexander M
Center for Population Health and Aging, Duke University, Durham, NC 27708-0408, USA.
Mech Ageing Dev. 2009 Sep;130(9):611-8. doi: 10.1016/j.mad.2009.07.004. Epub 2009 Jul 25.
The levels of blood glucose (BG) in humans tend to increase with age deviating from the norm specified for the young adults. Such elevation is often considered as a factor contributing to an increase in risks of disease and death. The proper use of intervention strategies coping with or preventing consequences of BG elevation requires understanding the roles of external forces and intrinsic senescence in this process. To address these issues, we performed analyses of longitudinal data on BG collected in the Framingham Heart Study using methods of descriptive statistics and statistical modeling. The approach allows us to separate effects of persistent external disturbances from "normal" aging-related changes due to the senescence process. We found that the BG level corresponding to the lowest mortality risk tends to increase with age. The changes in the shape of the mortality risk with age indicate the aging-related decline in resistance to stresses affecting the BG level. The results show that analyzing longitudinal data using advanced methods may substantially increase our knowledge on factors and mechanisms responsible for aging-related changes in humans.
人类的血糖（BG）水平往往会随着年龄的增长而升高，偏离了为年轻人规定的正常范围。这种升高通常被认为是导致疾病和死亡风险增加的一个因素。正确使用应对或预防血糖升高后果的干预策略需要了解外部因素和内在衰老在这一过程中的作用。为了解决这些问题，我们使用描述性统计和统计建模方法，对弗雷明汉心脏研究中收集的血糖纵向数据进行了分析。这种方法使我们能够将持续外部干扰的影响与衰老过程中“正常”的与衰老相关的变化区分开来。我们发现，对应最低死亡风险的血糖水平往往会随着年龄的增长而升高。死亡风险随年龄变化的曲线形状表明，与衰老相关的是对影响血糖水平的压力的抵抗力下降。结果表明，使用先进方法分析纵向数据可能会大幅增加我们对导致人类衰老相关变化的因素和机制的认识。
