Evidence map›Paper›PMID 32598446›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2021

Comparing Biological Age Estimates Using Domain-Specific Measures From the Canadian Longitudinal Study on Aging.

Chris P Verschoor, Daniel W Belsky, Jinhui Ma, Alan A Cohen, Lauren E Griffith, Parminder Raina

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
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  9. Discordant Biological and Chronological Age: Implications for Cognitive Decline and Frailty.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  10. All-Subset Analysis Improves the Predictive Accuracy of Biological Age for All-Cause Mortality in Chinese and U.S. Populations.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  11. In utero exposure to the Great Depression is reflected in late-life epigenetic aging signatures.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. Article
  13. Does Modulation of an Epigenetic Clock Define a Geroprotector?Advances in geriatric medicine and research · 2022
    Article
  14. Article
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  17. 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

6 authors.

Chris P VerschoorHealth Sciences North Research Institute, Sudbury, Ontario, Canada.
Daniel W BelskyDepartment of Epidemiology, Columbia University Mailman School of Public Health; Robert N. Butler Columbia Aging Center, Columbia University, New York.
Jinhui MaDepartment of Health Research Methods, Evidence, and Impact; McMaster Institute for Research on Aging, McMaster University, Hamilton, Ontario, Canada.
Alan A CohenDepartment of Family Medicine, University of Sherbrooke, Quebec, Canada.
Lauren E GriffithDepartment of Health Research Methods, Evidence, and Impact; McMaster Institute for Research on Aging, McMaster University, Hamilton, Ontario, Canada.
Parminder RainaDepartment of Health Research Methods, Evidence, and Impact; McMaster Institute for Research on Aging, McMaster University, Hamilton, Ontario, Canada.

Funding

A pilot study to advance translation of molecular signatures of biological agingR21AG054846 · NIA · DUKE UNIVERSITY · PI BELSKY, DANIEL WALKER · 2017 to 2018
$437k
CIHR ACD-162980NIA NIH HHS R21 AG054846
6 · The paper itself

Abstract

Many studies have shown that estimates of biological age (BA) can predict health-related outcomes in older adults. Often, researchers employ multiple measures belonging to a variety of biological/physiological systems, and assess the validity of BA estimates by how well they approximate chronological age (CA). However, it is not clear whether this is the best approach for judging a BA estimate, or whether certain groups of measures are more informative to this end. Using data from the Canadian Longitudinal Study on Aging, we composed panels of biological measures based on the physiological systems/domains they belong to (blood, organ function, physical/cognitive performance), and also composed a panel of measures that optimized the association of BA with CA. We then compared BA estimates for each according to their association with CA and health-related outcomes, including frailty, multimorbidity, chronic condition domains, disability, and health care utilization. Although BA estimated using all 40 measures (r = 0.74) or our age-optimized panel (r = 0.77) most closely approximated CA, the strength of associations to health-related outcomes was comparable or weaker than that of our panel composed only of physical performance measures (CA r = 0.59). All BA estimates were significantly associated to the outcomes considered, with exception to the neurological and musculoskeletal disease domains, and only varied slightly by sex. In summary, while the approximation of CA is important to consider when estimating BA, the strength of associations to prospective outcomes may be of greater importance. Hence, the context in which BA is estimated should be influenced by an investigator's specific research goals.

Indexed as

AgedAged, 80 and overAgingBiomarkersCanadaChronic DiseaseCognitionFemaleFrailtyHealth StatusHealthy AgingHumansLongitudinal StudiesMaleMiddle AgedMultimorbidityBiomarkersBiological ageBiological measuresBiomarkersCLSAHealthy aging

Identifiers

PMID32598446
PMCPMC7812432

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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.