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Exponential increase in mortality with age is a generic property of a simple model system of damage accumulation and death

机译:随着年龄的增长的指数增加是一种简单的损伤积累和死亡模型系统的通用性质

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The risk of dying increases exponentially with age, in humans as well as in many other species. This increase is often attributed to the “accumulation of damage” known to occur in many biological structures and systems. The aim of this paper is to describe a generic model of damage accumulation and death in which mortality increases exponentially with age. The damage-accumulation process is modeled by a stochastic process know as a queue, and risk of dying is a function of the accumulated damage, i.e., length of the queue. The model has four parameters and the main characteristics of the model are: (i) damage occurs at random times with a constant high rate; (ii) the damage is repaired at a limited rate, and consequently damage can accumulate; (iii) the efficiency of the repair mechanism decays linearly with age; (iv) the risk of dying is a function of the accumulated damage. Using standard results from the mathematical theory of queues it is shown that there is an exponential dependence between risk of dying and age in these models, and that this dependency holds irrespective of how the damage-accumulation process is modeled. Furthermore, the ways in which this exponential dependence is shaped by the model parameters are also independent of the details of the damage accumulation process. These generic features suggest that the model could be useful when interpreting changes in the relation between age and mortality in real data. To exemplify, historical mortality data from Sweden are interpreted in the light of the model. The decrease in mortality seen between cohorts born in 1905, compared to those born in 1885, can be accounted for by higher threshold to damage. This fits well with the many advances made in public health during the 20th century.
机译:随着年龄的增长,在人类以及许多其他物种中,死亡的风险增加。这种增加往往归因于已知在许多生物学结构和系统中发生的“损坏的积累”。本文的目的是描述损害累积和死亡的通用模型,其中死亡率随着年龄的增长而呈指数增长。损坏累积过程由随机过程显示为队列,并且染色的风险是累积损坏的函数,即队列的长度。该模型具有四个参数,模型的主要特性是:(i)损坏随机时发生,恒定高速率; (ii)损害以有限的速率修复,因此损坏可以积累; (iii)随着年龄的年龄,修复机制的效率衰减; (iv)死亡的风险是累积损伤的函数。使用来自队列的数学理论的标准结果,表明这些模型中死亡和年龄风险之间存在指数依赖性,而这种依赖性无论如何建模损坏累积过程如何。此外,通过模型参数形状的这种指数依赖性的方式也与损伤累积过程的细节无关。这些通用功能表明,当在真实数据中的年龄和死亡率之间的关系中解释变化时,该模型可能很有用。为了举例说明,根据模型的光解释来自瑞典的历史死亡率数据。与1905年出生的群组之间的死亡率降低,与1885年出生的群体相比,可以通过更高的阈值来造成损坏的阈值。这适合20世纪公共卫生的许多进展。

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