Biodemography of Aging
Springer (Verlag)
978-94-024-1388-5 (ISBN)
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.
Introduction: 1: Introduction: The Biodemography of Complex Relationships among Aging, Health, and Longevity.- Part I: Informational on Aging, Health, and Longevity from Available Data.: 2: Age Trajectories of Physiological Indices: Which Factors Influence Them?.- 3: Health Effects and Medicare Trajectories: Population-Based Analysis of Morbidity and Mortality Patterns.- 4: Evidence for Dependence among Diseases.- 5: Factors that May Increase Vulnerability to Cancer and Longevity in Modern Human Populations.- 6: Medical Cost Trajectories and Onsets of Age-Associated Diseases.- 7: Indices of Cumulative Deficits.- 8: Dynamic Characteristics of Aging-related Changes as Predictors of Longevity and Healthy Lifespan.- 9: The Complex Role of Genes in Diseases and Traits in Late Life: An Example of the Apolipoprotein E Polymorphism.- 10: Conclusions Regarding Empirical Patterns of Aging, Health, and Longevity.- Part II: Statistical Modeling of Aging, Health, and Longevity.- 11: Approaches to Statistical Analysis of longitudinal Data on Aging, Health, and Longevity: Biodemographic Perspectives.- 12: Stochastic Process Models of Mortality and Aging.- 13: The Latent Class Stochastic Process Model for Evaluation of Hidden Heterogeneity in Longitudinal Data.- 14: How Biodemographic Approaches Can Improve Statistical Power in Genetic Analyses of Longitudinal Data on Aging, Health, and Longevity.- 15: Integrative Mortality Models with Parameters that Have Biological Interpretations.- 16: Integrative Mortality Models for the Study of Aging, Health, and Longevity: Benefits of Combining Data.- 17: Analysis of the Natural History of Dementia Using Longitudinal Grade of Membership Models.- 18: Linear Latent Structure Analysis: Modeling High-Dimensional Survey Data.- 19: Conclusions Regarding Statistical Modeling of Aging, Health, and Longevity.- Part III: Conclusions: Continuing the Search for Determinants of Healthy Life Span and Longevity.
| Erscheinungsdatum | 18.08.2018 |
|---|---|
| Reihe/Serie | The Springer Series on Demographic Methods and Population Analysis ; 40 |
| Co-Autor | Igor Akushevich, Liubov S. Arbeeva |
| Zusatzinfo | 59 Illustrations, color; 23 Illustrations, black and white; XVII, 463 p. 82 illus., 59 illus. in color. |
| Verlagsort | Dordrecht |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Sachbuch/Ratgeber ► Gesundheit / Leben / Psychologie ► Lebenshilfe / Lebensführung |
| Studium ► Querschnittsbereiche ► Prävention / Gesundheitsförderung | |
| Naturwissenschaften ► Biologie | |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| Sozialwissenschaften ► Soziologie ► Spezielle Soziologien | |
| ISBN-10 | 94-024-1388-X / 940241388X |
| ISBN-13 | 978-94-024-1388-5 / 9789402413885 |
| Zustand | Neuware |
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