Optimal versus Realized Trajectories of Physiological Dysregulation in Aging and their Relation to Sex-Specific Mortality Risk

While longitudinal changes in biomarker levels and their impact on health have been characterized for individual markers, little is known about how overall marker profiles may change during aging and affect mortality risk. We implemented the recently developed measure of physiological dysregulation...

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Main Authors: Konstantin G. Arbeev, Alan A Cohen, Liubov S. Arbeeva, Emmanuel eMilot, Eric eStallard, Alexander M Kulminski, Igor eAkushevich, Svetlana eUkraintseva, Kaare eChristensen, Anatoliy I Yashin
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-01-01
Series:Frontiers in Public Health
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Online Access:http://journal.frontiersin.org/Journal/10.3389/fpubh.2016.00003/full
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author Konstantin G. Arbeev
Alan A Cohen
Liubov S. Arbeeva
Emmanuel eMilot
Eric eStallard
Alexander M Kulminski
Igor eAkushevich
Svetlana eUkraintseva
Kaare eChristensen
Kaare eChristensen
Anatoliy I Yashin
author_facet Konstantin G. Arbeev
Alan A Cohen
Liubov S. Arbeeva
Emmanuel eMilot
Eric eStallard
Alexander M Kulminski
Igor eAkushevich
Svetlana eUkraintseva
Kaare eChristensen
Kaare eChristensen
Anatoliy I Yashin
author_sort Konstantin G. Arbeev
collection DOAJ
description While longitudinal changes in biomarker levels and their impact on health have been characterized for individual markers, little is known about how overall marker profiles may change during aging and affect mortality risk. We implemented the recently developed measure of physiological dysregulation based on the statistical distance of biomarker profiles in the framework of the stochastic process model of aging, using data on blood pressure, heart rate, cholesterol, glucose, hematocrit, body mass index and mortality in the Framingham original cohort. This allowed us to evaluate how physiological dysregulation is related to different aging-related characteristics such as decline in stress resistance and adaptive capacity (which typically are not observed in the data and thus can be analyzed only indirectly), and, ultimately, to estimate how such dynamic relationships increase mortality risk with age. We found that physiological dysregulation increases with age; that increased dysregulation is associated with increased mortality, and increasingly so with age; and that, in most but not all cases, there is a decreasing ability to return quickly to baseline physiological state with age. We also revealed substantial sex differences in these processes, with women becoming dysregulated more quickly but with men showing a much greater sensitivity to dysregulation in terms of mortality risk.
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spelling doaj.art-7bce6a38d37945a5b15a99da825e4b2a2022-12-21T22:57:43ZengFrontiers Media S.A.Frontiers in Public Health2296-25652016-01-01410.3389/fpubh.2016.00003180877Optimal versus Realized Trajectories of Physiological Dysregulation in Aging and their Relation to Sex-Specific Mortality RiskKonstantin G. Arbeev0Alan A Cohen1Liubov S. Arbeeva2Emmanuel eMilot3Eric eStallard4Alexander M Kulminski5Igor eAkushevich6Svetlana eUkraintseva7Kaare eChristensen8Kaare eChristensen9Anatoliy I Yashin10Duke UniversityUniversity of SherbrookeDuke UniversityUniversity of SherbrookeDuke UniversityDuke UniversityDuke UniversityDuke UniversityUniversity of Southern DenmarkOdense University HospitalDuke UniversityWhile longitudinal changes in biomarker levels and their impact on health have been characterized for individual markers, little is known about how overall marker profiles may change during aging and affect mortality risk. We implemented the recently developed measure of physiological dysregulation based on the statistical distance of biomarker profiles in the framework of the stochastic process model of aging, using data on blood pressure, heart rate, cholesterol, glucose, hematocrit, body mass index and mortality in the Framingham original cohort. This allowed us to evaluate how physiological dysregulation is related to different aging-related characteristics such as decline in stress resistance and adaptive capacity (which typically are not observed in the data and thus can be analyzed only indirectly), and, ultimately, to estimate how such dynamic relationships increase mortality risk with age. We found that physiological dysregulation increases with age; that increased dysregulation is associated with increased mortality, and increasingly so with age; and that, in most but not all cases, there is a decreasing ability to return quickly to baseline physiological state with age. We also revealed substantial sex differences in these processes, with women becoming dysregulated more quickly but with men showing a much greater sensitivity to dysregulation in terms of mortality risk.http://journal.frontiersin.org/Journal/10.3389/fpubh.2016.00003/fullMortalitylongitudinal datasex differencesMahalanobis distancestochastic process modelPhysiological dysregulation
spellingShingle Konstantin G. Arbeev
Alan A Cohen
Liubov S. Arbeeva
Emmanuel eMilot
Eric eStallard
Alexander M Kulminski
Igor eAkushevich
Svetlana eUkraintseva
Kaare eChristensen
Kaare eChristensen
Anatoliy I Yashin
Optimal versus Realized Trajectories of Physiological Dysregulation in Aging and their Relation to Sex-Specific Mortality Risk
Frontiers in Public Health
Mortality
longitudinal data
sex differences
Mahalanobis distance
stochastic process model
Physiological dysregulation
title Optimal versus Realized Trajectories of Physiological Dysregulation in Aging and their Relation to Sex-Specific Mortality Risk
title_full Optimal versus Realized Trajectories of Physiological Dysregulation in Aging and their Relation to Sex-Specific Mortality Risk
title_fullStr Optimal versus Realized Trajectories of Physiological Dysregulation in Aging and their Relation to Sex-Specific Mortality Risk
title_full_unstemmed Optimal versus Realized Trajectories of Physiological Dysregulation in Aging and their Relation to Sex-Specific Mortality Risk
title_short Optimal versus Realized Trajectories of Physiological Dysregulation in Aging and their Relation to Sex-Specific Mortality Risk
title_sort optimal versus realized trajectories of physiological dysregulation in aging and their relation to sex specific mortality risk
topic Mortality
longitudinal data
sex differences
Mahalanobis distance
stochastic process model
Physiological dysregulation
url http://journal.frontiersin.org/Journal/10.3389/fpubh.2016.00003/full
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