Evidence map›Paper›PMID 26835445›Full record

ArticleFrontiers in public health2016

Optimal Versus Realized Trajectories of Physiological Dysregulation in Aging and Their Relation to Sex-Specific Mortality Risk.

Konstantin G Arbeev, Alan A Cohen, Liubov S Arbeeva, Emmanuel Milot, Eric Stallard, Alexander M Kulminski, Igor Akushevich, Svetlana V Ukraintseva, Kaare Christensen, Anatoliy I Yashin

Abstract read
In one paragraph

Article in Frontiers in public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Trial
  2. Change in the Rate of Biological Aging in Response to Caloric Restriction: CALERIE Biobank Analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Multi-system physiological dysregulation and ageing in a subsistence population.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  12. Association of Blood Chemistry Quantifications of Biological Aging With Disability and Mortality in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Men Sustain Higher Dysregulation Levels Than Women Without Becoming Frail.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Konstantin G ArbeevBiodemography of Aging Research Unit (BARU), Social Science Research Institute, Duke University , Durham, NC , USA.
Alan A CohenGroupe de Recherche PRIMUS, Department of Family Medicine, CHUS-Fleurimont, University of Sherbrooke , Sherbrooke, QC , Canada.
Liubov S ArbeevaBiodemography of Aging Research Unit (BARU), Social Science Research Institute, Duke University , Durham, NC , USA.
Emmanuel MilotGroupe de Recherche PRIMUS, Department of Family Medicine, CHUS-Fleurimont, University of Sherbrooke , Sherbrooke, QC , Canada.
Eric StallardBiodemography of Aging Research Unit (BARU), Social Science Research Institute, Duke University , Durham, NC , USA.
Alexander M KulminskiBiodemography of Aging Research Unit (BARU), Social Science Research Institute, Duke University , Durham, NC , USA.
Igor AkushevichBiodemography of Aging Research Unit (BARU), Social Science Research Institute, Duke University , Durham, NC , USA.
Svetlana V UkraintsevaBiodemography of Aging Research Unit (BARU), Social Science Research Institute, Duke University , Durham, NC , USA.
Kaare ChristensenThe Danish Aging Research Center, University of Southern Denmark, Odense, Denmark; Department of Clinical Genetics, Odense University Hospital, Odense, Denmark; Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark.
Anatoliy I YashinBiodemography of Aging Research Unit (BARU), Social Science Research Institute, Duke University , Durham, NC , USA.

Funding

STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI SCOTT M. LYNCH · 2009 to 2026
$12.2M
Long Life Family Study: Duke Univ./Univ. of Southern Denmark Field CenterU01AG023712 · NIA · DUKE UNIVERSITY · PI CHRISTENSEN, KAARE · 2004 to 2018
$10.4M
Relationships among Genetic Regulators of Aging Health and LifespanP01AG043352 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$8.7M
Genetics of changes in population pyramids: Implications for health forecasting with a focus on Alzheimer's Disease and related dementiasRF1AG046860 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2019 to 2019
$3.1M
YASHIN Admin Supp: Time Trends in Alzheimer's Disease: Addressing the Changing Role of Risk Factors and Instrument ValidityR01AG046860 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$3.1M
EVALUATING NEW GENETIC EFFECTS ON HEALTH AND AGING FROM LONGITUDINAL DATAR01AG030612 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2007 to 2011
$2.9M
Causal Effects of Time-Dependent Treatment: Optimizing Care of Cancer PatientsR21AG045245 · NIA · DUKE UNIVERSITY · PI AKUSHEVICH, IGOR · 2013 to 2013
$150k
NIA NIH HHS P01 AG043352NIA NIH HHS P30 AG034424NIA NIH HHS R01 AG030612NIA NIH HHS R01 AG046860NIA NIH HHS R21 AG045245NIA NIH HHS RF1 AG046860NIA NIH HHS U01 AG023712
6 · The paper itself

Abstract

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.

Indexed as

longitudinal dataMahalanobis distancemortalityphysiological dysregulationsex differencesstochastic process model

Identifiers

PMID26835445
PMCPMC4725219

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.