Evidence map›Paper›PMID 22633776›Full record

ArticlePhysics of life reviews2012

The quadratic hazard model for analyzing longitudinal data on aging, health, and the life span.

A I Yashin, K G Arbeev, I Akushevich, A Kulminski, S V Ukraintseva, E Stallard, K C Land

Abstract read
In one paragraph

Article in Physics of life reviews, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Allostatic load in the context of disasters.Psychoneuroendocrinology · 2022
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Dynamics of biomarkers in relation to aging and mortality.Mechanisms of ageing and development · 2016
    Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

A I YashinCenter for Population Health and Aging, Duke University, Durham, NC 27708, United States. aiy@duke.edu
K G Arbeev
I Akushevich
A Kulminski
S V Ukraintseva
E Stallard
K C Land

Funding

EVALUATING NEW GENETIC EFFECTS ON HEALTH AND AGING FROM LONGITUDINAL DATAR01AG030612 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2007 to 2011
$2.9M
DYNAMIC DETERMINANTS OF EXCEPTIONAL HEALTH AT LATE AGESR01AG027019 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2006 to 2009
$1.4M
The future of major geriatric disorders in the US elderlyR01AG032319 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2008 to 2012
$1.1M
New Methods of Studying Aging, Health and Longevity: Combining Longitudinal DataR01AG030198 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2009 to 2010
$779k
NIA NIH HHS R01 AG027019NIA NIH HHS R01 AG030198NIA NIH HHS R01AG030198NIA NIH HHS R01 AG030612NIA NIH HHS R01AG030612NIA NIH HHS R01 AG032319NIA NIH HHS R01AG032319
6 · The paper itself

Abstract

A better understanding of processes and mechanisms linking human aging with changes in health status and survival requires methods capable of analyzing new data that take into account knowledge about these processes accumulated in the field. In this paper, we describe an approach to analyses of longitudinal data based on the use of stochastic process models of human aging, health, and longevity which allows for incorporating state of the art advances in aging research into the model structure. In particular, the model incorporates the notions of resistance to stresses, adaptive capacity, and "optimal" (normal) physiological states. To capture the effects of exposure to persistent external disturbances, the notions of allostatic adaptation and allostatic load are introduced. These notions facilitate the description and explanation of deviations of individuals' physiological indices from their normal states, which increase the chances of disease development and death. The model provides a convenient conceptual framework for comprehensive systemic analyses of aging-related changes in humans using longitudinal data and linking these changes with genotyping profiles, morbidity, and mortality risks. The model is used for developing new statistical methods for analyzing longitudinal data on aging, health, and longevity.

Indexed as

AgingHealthLife ExpectancyLongevityProportional Hazards ModelsHumansLongitudinal Studies

Identifiers

PMID22633776
PMCPMC3392540

What OpenQuestion holds

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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 OpenQuestion graph.