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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Jan C. Joerden,Bettina Weinreichence was a plausible hypothesis in the era of infectious diseases. However, the health problems of modern populations are closely connected with diseases of the elderly i.e., with chronic non-communicable diseases that often have common risk factors. The existence of such common genetic and non-gene

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https://doi.org/10.1007/978-3-642-55891-7use almost all U.S. residents aged 65+ years old are covered by the Medicare system, prediction of future Medicare costs is crucial for health care planning. These costs represent the sum of the medical costs associated with every person enrolled in the system. Individual costs deal with expenditure

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https://doi.org/10.1007/978-3-642-58432-9nescence, and longevity, these processes still remain elusive. This makes the systemic description of aging-related changes embedded in data from different studies a difficult task. Indeed, observational studies typically measure not only major changes in health and well-being captured by well-defin

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https://doi.org/10.1007/978-3-642-58432-9 mortality risks. Studies of the connections between aging and life span suggest that the dynamic properties of the age trajectories of the physiological indices could also be important contributors to morbidity and mortality risks. In this chapter, we use data from the Framingham Heart Study on lon

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Michael Hanslmaier,Stefanie Kemme,Dirk Baierin forms of pathological dysregulation of physiological functions, incidence or prevalence of diseases, case fatality, or mortality also change with age. This change integrates all challenges occurring in a human organism during the life course by a given age. Accordingly, the age patterns of variou

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Schlussbetrachtung: Die Logik des Verdachts, to work with the rich data available in modern longitudinal studies of aging, health, and longevity that have collected genetic information in addition to follow-up data on events and longitudinal measurements of biomarkers. Such methods provide a possibility for improving the power of genetic anal