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Titlebook: Biodemography of Aging; Determinants of Heal Anatoliy I. Yashin,Eric Stallard,Kenneth C. Land Book 2016 Springer Science+Business Media B.V

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21#
發(fā)表于 2025-3-25 07:10:30 | 只看該作者
22#
發(fā)表于 2025-3-25 10:51:20 | 只看該作者
Dynamic Characteristics of Aging-Related Changes as Predictors of Longevity and Healthy Lifespanes in physiological indices influence human longevity and exceptional health more substantially than the variables describing physiological state. These newly identified variables are promising targets for prevention efforts aiming to postpone the onset of common elderly diseases and increase longevity.
23#
發(fā)表于 2025-3-25 13:10:06 | 只看該作者
The Complex Role of Genes in Diseases and Traits in Late Life: An Example of the Apolipoprotein E Poeak. In this chapter, we consider several examples of complex modes of gene actions, including genetic tradeoffs, antagonistic genetic effects on the same traits at different ages, and variable genetic effects on lifespan. The analyses focus on the . common polymorphism.
24#
發(fā)表于 2025-3-25 17:31:16 | 只看該作者
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發(fā)表于 2025-3-25 20:57:11 | 只看該作者
26#
發(fā)表于 2025-3-26 04:04:03 | 只看該作者
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發(fā)表于 2025-3-26 04:34:03 | 只看該作者
28#
發(fā)表于 2025-3-26 10:07:01 | 只看該作者
https://doi.org/10.1007/978-3-531-91435-0anisms responsible for age patterns and time trends in human mortality rates and survival curves. The availability of human longitudinal and cross-sectional data on populations of study subjects made addressing these research questions possible and stimulated the development of methodological ideas
29#
發(fā)表于 2025-3-26 13:14:46 | 只看該作者
,Kritische Würdigung und Perspektiven,scribe the functioning of individual organisms during people’s life courses. In this chapter, empirical estimates of the mean values of eight physiological variables are calculated for several groups of individuals using longitudinal data on participants of the original cohort from the Framingham He
30#
發(fā)表于 2025-3-26 18:42:18 | 只看該作者
Zur Problematik ethnologischer Gutachten, older U.S. adults remains largely unexplored. In this chapter, we present and discuss the results of a series of epidemiologic and biodemographic measures that can be studied using the Medicare Files of Service Use. Specifically, we present analyses of age patterns of disease incidence, their time
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