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Age trajectories of physiological indices in relation to healthy life course.
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.
Type
Journal articleSubject
AdultAging
Blood Pressure
Cohort Studies
Female
Hematocrit
Humans
Life Style
Male
Middle Aged
Models, Biological
Sex Factors
Stress, Physiological
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https://hdl.handle.net/10161/14857Published Version (Please cite this version)
10.1016/j.mad.2011.01.001Publication Info
Arbeev, Konstantin G; Ukraintseva, Svetlana V; Akushevich, Igor; Kulminski, Alexander
M; Arbeeva, Liubov S; Akushevich, Lucy; ... Yashin, Anatoliy I (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.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Igor Akushevich
Research Professor in the Social Science Research Institute
Konstantin Arbeev
Associate Research Professor in the Social Science Research Institute
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 Resea
Irina Kulminskaya
Research Scientist, Senior
Alexander Kulminski
Research Professor in the Social Science Research Institute
Svetlana Ukraintseva
Research Professor in the Social Science Research Institute
Dr. Ukraintseva studies causes of human aging and related decline in resilience, to
identify genetic and other factors responsible for the increase in mortality risk
with age eventually limiting longevity. She explores complex relationships, including
trade-offs, between physiological aging-changes and risks of major diseases (with
emphasis on Alzheimer’s and cancer), as well as survival, to find new genetic and
other targets for anti-aging interventions and disease prevention. S
Anatoli I. Yashin
Research Professor in the Social Science Research Institute
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