Age trajectories of physiological indices in relation to healthy life course.
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2011-03
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Abstract
We analysed relationship between the risk of onset of "unhealthy life" (defined as the onset of cancer, cardiovascular diseases, or diabetes) and longitudinal changes in body mass index, diastolic blood pressure, hematocrit, pulse pressure, pulse rate, and serum cholesterol in the Framingham Heart Study (Original Cohort) using the stochastic process model of human mortality and aging. The analyses demonstrate how decline in resistance to stresses and adaptive capacity accompanying human aging can be evaluated from longitudinal data. We showed how these components of the aging process, as well as deviation of the trajectories of physiological indices from those minimising the risk at respective ages, can lead to an increase in the risk of onset of unhealthy life with age. The results indicate the presence of substantial gender difference in aging related decline in stress resistance and adaptive capacity, which can contribute to differences in the shape of the sex-specific patterns of incidence rates of aging related diseases.
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Arbeev, Konstantin G, Svetlana V Ukraintseva, Igor Akushevich, Alexander M Kulminski, Liubov S Arbeeva, Lucy Akushevich, Irina V Culminskaya, Anatoliy I Yashin, et al. (2011). Age trajectories of physiological indices in relation to healthy life course. Mech Ageing Dev, 132(3). pp. 93–102. 10.1016/j.mad.2011.01.001 Retrieved from https://hdl.handle.net/10161/14857.
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Konstantin Arbeev
Konstantin G. Arbeev received the M.S. degree in Applied Mathematics from Moscow State University (branch in Ulyanovsk, Russia) in 1995 and the Ph.D. degree in Mathematics and Physics (specialization in Theoretical Foundations of Mathematical Modeling, Numerical Methods and Programming) from Ulyanovsk State University (Russia) in 1999. He was a post-doctoral fellow in Max Planck Institute for Demographic Research in Rostock (Germany) before moving to Duke University in 2004 to work as a Research Scientist and a Senior Research Scientist in the Department of Sociology and the Social Science Research Institute (SSRI). He is currently an Associate Research Professor in SSRI. Dr. Arbeev's major research interests are related to three interconnected fields of biodemography, biostatistics and genetic epidemiology as pertains to research on aging. The focus of his research is on discovering genetic and non-genetic factors that can affect the process of aging and determine longevity and healthy lifespan. He is interested in both methodological advances in this research area as well as their practical applications to analyses of large-scale longitudinal studies with phenotypic, genetic and, recently, genomic information. Dr. Arbeev authored and co-authored more than 150 peer-reviewed publications in these areas.
Svetlana Ukraintseva
Dr. Ukraintseva studies the causes of human aging and the associated decline in whole-body resilience, with the goal of identifying genetic and other factors that drive this decline and contribute to the age-related increase in all-cause mortality risk, ultimately limiting longevity even in individuals without major diseases. She also investigates the “multi-hit” mechanism of Alzheimer’s disease and the complex, including trade‑off–like, relationships between Alzheimer’s disease and cancer. She actively explores the role of infectious diseases and compromised immunity in Alzheimer’s development, as well as the interplay between vaccines and genetic factors, to advance personalized vaccine repurposing for AD prevention. To address these questions, Dr. Ukraintseva and her team analyze large human datasets containing comprehensive information on millions of individuals. She is a PI and key investigator on several NIH-funded grants and has authored more than 150 peer‑reviewed publications, including in major journals such as JAMA, Nature group journals, Stroke, Alzheimer’s & Dementia, and others.
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Igor Akushevich
Alexander Kulminski
Irina Kulminskaya
Anatoli I. Yashin
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