Evidence map›Paper›PMID 26280653›Full record

ReviewBiogerontology2016

How the effects of aging and stresses of life are integrated in mortality rates: insights for genetic studies of human health and longevity.

Anatoliy I Yashin, Konstantin G Arbeev, Liubov S Arbeeva, Deqing Wu, Igor Akushevich, Mikhail Kovtun, Arseniy Yashkin, Alexander Kulminski, Irina Culminskaya, Eric Stallard and 2 more

Abstract readReview
In one paragraph

Review in Biogerontology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Review
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  9. Article
  10. Article
  11. The financial performance of the health care industry: a global, regional and industry specific empirical investigation.The European journal of health economics : HEPAC : health economics in prevention and care · 2018
    Article
  12. Heterogeneity of Human Aging and Its Assessment.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017
    Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Dynamics of biomarkers in relation to aging and mortality.Mechanisms of ageing and development · 2016
    Review
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

12 authors.

Anatoliy I YashinThe Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA. aiy@duke.edu.
Konstantin G ArbeevThe Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Liubov S ArbeevaThe Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Deqing WuThe Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Igor AkushevichThe Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Mikhail KovtunThe Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Arseniy YashkinThe Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Alexander KulminskiThe Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Irina CulminskayaThe Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Eric StallardThe Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Miaozhu LiThe Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Svetlana V UkraintsevaThe Biodemography of Aging Research Unit, 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
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
DYNAMIC DETERMINANTS OF EXCEPTIONAL HEALTH AT LATE AGESR01AG027019 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2006 to 2009
$1.4M
Healthy Life at Risk: The Role of SenescenceR01AG028259 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2005 to 2009
$1.2M
SLEEP AND ENTRAINMENT OF SCN FUNCTIONR01HL064278 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI STROHL, KINGMAN PERKINS · 1999 to 2002
$871k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195NHLBI NIH HHS N02 HL064278NHLBI NIH HHS N02-HL-64278NIA NIH HHS P01 AG043352NIA NIH HHS P01AG043352NIA NIH HHS P30 AG034424NIA NIH HHS P30AG034424NIA NIH HHS R01 AG027019NIA NIH HHS R01 AG028259NIA NIH HHS R01 AG046860NIA NIH HHS R01AG046860NIA NIH HHS RF1 AG046860
6 · The paper itself

Abstract

Increasing proportions of elderly individuals in developed countries combined with substantial increases in related medical expenditures make the improvement of the health of the elderly a high priority today. If the process of aging by individuals is a major cause of age related health declines then postponing aging could be an efficient strategy for improving the health of the elderly. Implementing this strategy requires a better understanding of genetic and non-genetic connections among aging, health, and longevity. We review progress and problems in research areas whose development may contribute to analyses of such connections. These include genetic studies of human aging and longevity, the heterogeneity of populations with respect to their susceptibility to disease and death, forces that shape age patterns of human mortality, secular trends in mortality decline, and integrative mortality modeling using longitudinal data. The dynamic involvement of genetic factors in (i) morbidity/mortality risks, (ii) responses to stresses of life, (iii) multi-morbidities of many elderly individuals, (iv) trade-offs for diseases, (v) genetic heterogeneity, and (vi) other relevant aging-related health declines, underscores the need for a comprehensive, integrated approach to analyze the genetic connections for all of the above aspects of aging-related changes. The dynamic relationships among aging, health, and longevity traits would be better understood if one linked several research fields within one conceptual framework that allowed for efficient analyses of available longitudinal data using the wealth of available knowledge about aging, health, and longevity already accumulated in the research field.

Indexed as

Age DistributionAgingDisease SusceptibilityFemaleGenetic MarkersGenetic Predisposition to DiseaseHealth StatusHumansIncidenceLongevityMaleModels, GeneticMortalityRisk FactorsStress, PsychologicalSurvival RateGenetic MarkersGenetic heterogeneityHealth of the elderlyLongitudinal dataPleiotropyPopulation agingQuadratic hazard

Identifiers

PMID26280653
PMCPMC4724574

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.