Introduction: The Biodemography of Complex Relationships Among Aging, Health, and Longevity

Anatoliy I. Yashin (), Eric Stallard () and Kenneth C. Land ()
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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
Eric Stallard: 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

Chapter Chapter 1 in Biodemography of Aging, 2016, pp 1-18 from Springer

Abstract: Abstract The growth in interest in the biodemography of human aging, health, and longevity is motivated by the desire to better understand the factors and mechanisms 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 on how these data could be efficiently analyzed. Biodemographic methods of studying human aging, health, and longevity allow for integration and efficient use of data and knowledge from relevant research fields including epidemiology, genetics, sociology, gerontology, environmental sciences, population genetics, etc. This chapter provides a selective account of important historical steps in the development of this research field in which members of the present research team have participated. It also illustrates how the integration of demographic and biological knowledge and data may contribute to progress in the field. Finally, it briefly describes the content and connections among the chapters of this monograph.

Keywords: Framingham Heart Study; Allostatic Load; Frailty Model; Stochastic Process Model; Genetic Frequency (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-94-017-7587-8_1

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DOI: 10.1007/978-94-017-7587-8_1

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