Conclusions Regarding Empirical Patterns of Aging, Health, and Longevity

Alexander M. Kulminski (), Anatoliy I. Yashin (), Irina Culminskaya (), Kenneth C. Land () and Svetlana V. Ukraintseva ()
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Alexander M. Kulminski: Duke Population Research Institute & Social Science Research Institute at Duke University, Biodemography of Aging Research Unit, Center for Population Health and Aging
Anatoliy I. Yashin: Duke Population Research Institute & Social Science Research Institute at Duke University, Biodemography of Aging Research Unit, Center for Population Health and Aging
Irina Culminskaya: Duke Population Research Institute & Social Science Research Institute at Duke University, Biodemography of Aging Research Unit, Center for Population Health and Aging
Kenneth C. Land: Duke Population Research Institute & Social Science Research Institute at Duke University, Biodemography of Aging Research Unit, Center for Population Health and Aging
Svetlana V. Ukraintseva: Duke Population Research Institute & Social Science Research Institute at Duke University, Biodemography of Aging Research Unit, Center for Population Health and Aging

Chapter Chapter 10 in Biodemography of Aging, 2016, pp 231-237 from Springer

Abstract: Abstract Age is a major risk factor for phenotypes characterizing human health, well-being, and survival in late life. The risks of these phenotypes expressed in 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 various age-related phenotypes are a valuable source of information about health-related processes in human organisms.

Keywords: Late Life; Medicare Data; Unconditional Contribution; Cost Trajectory; Major Human Disease (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-94-017-7587-8_10

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