Overview
- Presents an innovative overview of the field of biodemography of aging
- Provides rigorous research into how age-related changes at individual level contribute to morbidity
- First volume covering the work done by the leading research team at the Center for Population Health and Aging at Duke
Part of the book series: The Springer Series on Demographic Methods and Population Analysis (PSDE, volume 40)
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Table of contents (20 chapters)
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Information on Aging, Health, and Longevity from Available Data
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Statistical Modeling of Aging, Health, and Longevity
Keywords
- Age patterns of morbidity
- Age trajectories of physiological indices
- Cancer risk in human populations
- Center for Population Health and Aging at Duke
- Empirical patterns of aging related changes
- Farmingham Heart study
- Genes and age patterns
- Healthy life span
- Linear latent structure models
- Models in heterogeneity in longitudinal data
- Mortality and aging
- Statistical analyses of longitudinal data
- Human mortality aging
- Longitudinal data analyses
- Health of the elderly
- Multi-morbidity
- Modeling connections among againg, health and longevity
- Stochastic Process Model of aging and mortality
About this book
The book features comprehensive statistical analyses of unique longitudinal data sets including the unique resource of the Framingham Heart Study, with its more than 60 years of follow-up. Culminating in penetrating conclusions about the insights gained from the work involved, this book adds much to our understanding of the links between aging and human health.
Reviews
“A key strength of the book is the serious endeavor to go beyond traditional demographic approaches and incorporate more sophisticated mathematical analyses in the quest to integrate models for health, biology, and lifespan. A reasonable job is done of highlighting useful stochastic models for longitudinal data. Another positive is the variety and quality of the data used.” (Anthony Medford, Canadian Studies in Population, Vol. 46, 2019)
“The book is an effort to conciliate the empirical evidence that indicates that aging is a multidimensional process that involves changesin many variables, such as biomarkers. Thus, the book contributes at integrating biological knowledge and methods with traditional demographic analyses. Population scientists interested in population and biological mechanisms of aging will find this book valuable since it provides an overview of the most recent developments in the field.” (Vladimir Canudas-Romo and José Manuel Aburto, European Journal of Population, Vol. 33, 2017)
Authors and Affiliations
Bibliographic Information
Book Title: Biodemography of Aging
Book Subtitle: Determinants of Healthy Life Span and Longevity
Authors: Anatoliy I. Yashin, Eric Stallard, Kenneth C. Land
Series Title: The Springer Series on Demographic Methods and Population Analysis
DOI: https://doi.org/10.1007/978-94-017-7587-8
Publisher: Springer Dordrecht
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: Springer Science+Business Media B.V. 2016
Hardcover ISBN: 978-94-017-7585-4Published: 30 August 2016
Softcover ISBN: 978-94-024-1388-5Published: 05 July 2018
eBook ISBN: 978-94-017-7587-8Published: 22 August 2016
Series ISSN: 1877-2560
Series E-ISSN: 2215-1990
Edition Number: 1
Number of Pages: XVII, 463
Number of Illustrations: 23 b/w illustrations, 59 illustrations in colour
Topics: Aging, Statistics for Social Sciences, Humanities, Law, Health Promotion and Disease Prevention, Demography