Evidence map›Paper›PMID 30999227›Full record

ArticlePsychoneuroendocrinology2019

Comparability of biological aging measures in the National Health and Nutrition Examination Study, 1999-2002.

Waylon J Hastings, Idan Shalev, Daniel W Belsky

Open access · greenAbstract read
In one paragraph

Article in Psychoneuroendocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

77 citing papers in PubMed, 139 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Racial and Social Inequities in Weathering: the ELSA-Brasil Cohort.Journal of racial and ethnic health disparities · 2025
    Article
  14. Article
  15. Article
  16. No winners or losers: clinical chemistry-based biological aging metrics perform similarly across cohorts and health outcomes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

17 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Waylon J HastingsDepartment of Biobehavioral Health, Pennsylvania State University, United States.
Idan ShalevDepartment of Biobehavioral Health, Pennsylvania State University, United States.
Daniel W BelskyDepartment of Epidemiology, Columbia University Mailman School of Public Health, United States; Robert N. Butler Columbia Aging Center, Columbia University, United States. Electronic address: daniel.belsky@columbia.edu.
Pennsylvania State University · USButler University · US

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Virginia B Kraus · 2006 to 2026
$24.6M
Psychosocial Determinants and Biological Pathway to Healthy Aging (Pathways)T32AG049676 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LYNN M. MARTIRE · 2016 to 2026
$3.9M
A pilot study to advance translation of molecular signatures of biological agingR21AG054846 · NIA · DUKE UNIVERSITY · PI BELSKY, DANIEL WALKER · 2017 to 2018
$437k
NIA NIH HHS P30 AG028716NIA NIH HHS R21 AG054846NIA NIH HHS T32 AG049676
6 · The paper itself

Abstract

backgroundBiological processes of aging are thought to be modifiable causes of many different chronic diseases. Measures of biological aging could provide sensitive endpoints for studies of risk factors hypothesized to shorten healthy lifespan and/or interventions that extend it. But uncertainty remains about how to measure biological aging and if proposed measures assess the same thing.

methodWe tested four proposed measures of biological aging that could be quantified with available data from the National Health and Nutrition Examination Survey (NHANES), Klemera-Doubal method (KDM) Biological Age, homeostatic dysregulation, Levine Method (LM) Biological Age, and leukocyte telomere length.

resultsWe analyzed data collected during 1999-2002, when all four biological aging meausres could be taken. Participants' KDM biological ages, homeostatic dysregulation levels, LM biological ages, and telomere length were all correlated with their chronological ages. KDM Biological Age, homeostatic dysregulation, and LM Biological Age were all correlated with one another, but these measures were uncorrelated with telomere length. Participants' with more advanced biological aging performed worse on tests of physical, cognitive, and perceptual functioning and reported more limitations to their daily activities and more pain, and rated themselves as being in worse health. In parallel, participants with risk factors for shorter healthy lifespan exhibited more advanced biological aging. In both sets of analyses, effect-sizes tended to be larger for KDM Biological Age, homeostatic dysregulation, and LM Biological Age as compared to telomere length. DISCUSSION: The cellular-level aging biomarker telomere length may measure different aspects of the aging process as compared to the patient-level physiological composite measures KDM Biological Age, homeostatic dysregulation, and LM Biological Age. Studies aiming to test if risk factors accelerate aging or if interventions may slow aging should not treat proposed measures of aging as interchangeable.

Indexed as

AdultAgedAged, 80 and overAgingBiomarkersCellular SenescenceFemaleHumansLeukocytesLongevityMaleMiddle AgedNutrition SurveysRisk FactorsTelomereTelomere ShorteningBiomarkersAgingBiological agingGeroscienceNHANESTelomeres

Identifiers

PMID30999227
PMCPMC6599717
OpenAlexW2932759780

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.