Evidence map›Paper›PMID 21463647›Full record

ArticleMechanisms of ageing and development2011

Do gender, disability, and morbidity affect aging rate in the LLFS? Application of indices of cumulative deficits.

Alexander M Kulminski, Konstantin G Arbeev, Kaare Christensen, Richard Mayeux, Anne B Newman, Michael A Province, Evan C Hadley, Winifred Rossi, Thomas T Perls, Irma T Elo and 1 more

Abstract read
In one paragraph

Article in Mechanisms of ageing and development, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genetics of Human Longevity From Incomplete Data: New Findings From the Long Life Family Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018
    Article
  6. Men Sustain Higher Dysregulation Levels Than Women Without Becoming Frail.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Association of healthy aging with parental longevity.Age (Dordrecht, Netherlands) · 2013
    Article
  12. Review
  13. 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

11 authors at 8 institutions in 2 countries.

Alexander M KulminskiCenter for Population Health and Aging, Duke University, Durham, NC 27708-0408, USA. Alexander.Kulminski@duke.edu
Konstantin G Arbeev
Kaare Christensen
Richard Mayeux
Anne B Newman
Michael A Province
Evan C Hadley
Winifred Rossi
Thomas T Perls
Irma T Elo
Anatoli I Yashin
Duke University · USNational Institute on Aging · USBoston University · USColumbia University · USUniversity of Pennsylvania · USUniversity of Pittsburgh · USUniversity of Southern Denmark · DKWashington University in St. Louis · US

Funding

Long Life Family Study: Data Management and Coordinating CenterU01AG023746 · NIA · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2004 to 2018
$29.2M
The Long Life Family StudyU01AG023755 · NIA · BOSTON MEDICAL CENTER · PI PERLS, THOMAS T · 2004 to 2018
$13.2M
Long Life Family Study: Duke Univ./Univ. of Southern Denmark Field CenterU01AG023712 · NIA · DUKE UNIVERSITY · PI CHRISTENSEN, KAARE · 2004 to 2018
$10.4M
The future of major geriatric disorders in the US elderlyR01AG032319 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2008 to 2012
$1.1M
NIA NIH HHS R01 AG032319NIA NIH HHS R01AG032319NIA NIH HHS U01 AG023712NIA NIH HHS U01 AG023746NIA NIH HHS U01AG023746NIA NIH HHS U01 AG023755
6 · The paper itself

Abstract

We used an approach of cumulative deficits to evaluate the rate of aging in 4954 participants of the Long-Life Family Study (LLFS) recruited in the U.S. (Boston, New York, and Pittsburgh) and Denmark. We used an array of 85 health-related deficits covering major health dimensions including depression, cognition, morbidity, physical performance, and disability to construct several deficit indices (DIs) with overlapping and complementary sets of deficits to test robustness of the estimates. Our study shows that the DIs robustly characterize accelerated rates of aging irrespective of specific of deficits. When a wider spectrum of health dimensions is considered these rates are better approximated by quadratic law. Exponential rates are more characteristic for more severe health dimensions. The aging rates are the same for males and females. Individuals who contracted major diseases and those who were free of them exhibited the same aging rates as characterized by the DI constructed using mild deficits. Unlike health, disability can qualitatively alter the aging patterns of the LLFS participants. We report on systemic differences in health among the LLFS centenarians residing in New York and Boston. This study highlights importance of aggregated approaches to better understand systemic mechanisms of health deterioration in long-living individuals.

Indexed as

AgingHealth StatusAgedAged, 80 and overAttitude to HealthCohort StudiesDepressionDiseaseFemaleHumansLongevityMalePersons with DisabilitiesSex Factors

Identifiers

PMID21463647
PMCPMC3139988
OpenAlexW2018392977

What OpenQuestion 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 OpenQuestion graph.