Evidence map›Paper›PMID 39383103›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2025

There Are Multiple Clocks That Time Us: Cross-Sectional and Longitudinal Associations Among 14 Alternative Indicators of Age and Aging.

Johanna Drewelies, Jan Homann, Valentin Max Vetter, Sandra Düzel, Simone Kühn, Laura Deecke, Elisabeth Steinhagen-Thiessen, Philippe Jawinski, Sebastian Markett, Ulman Lindenberger and 4 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

14 authors.

Johanna DreweliesCenter for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany.ORCID 0000-0002-3774-2169
Jan HomannCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.ORCID 0000-0003-2791-7065
Valentin Max VetterDivision of Lipid Metabolism, Department of Endocrinology and Metabolic Diseases, Charité Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0001-5003-7766
Sandra DüzelFriede Springer Cardiovascular Prevention Center, Charité-Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0001-7179-2664
Simone KühnCenter for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany.ORCID 0000-0001-6823-7969
Laura DeeckeCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.ORCID 0009-0002-9268-2469
Elisabeth Steinhagen-ThiessenDivision of Lipid Metabolism, Department of Endocrinology and Metabolic Diseases, Charité Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0003-3056-3317
Philippe JawinskiDepartment of Psychology, Humboldt Universität zu Berlin, Berlin, Germany.ORCID 0000-0002-2994-3075
Sebastian MarkettDepartment of Psychology, Humboldt Universität zu Berlin, Berlin, Germany.ORCID 0000-0002-0841-3163
Ulman LindenbergerCenter for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany.ORCID 0000-0001-8428-6453
Christina M LillCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.ORCID 0000-0002-2805-1307
Lars BertramLübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Lübeck, Germany.ORCID 0000-0002-0108-124X
Ilja DemuthDivision of Lipid Metabolism, Department of Endocrinology and Metabolic Diseases, Charité Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-4340-2523
Denis GerstorfDepartment of Psychology, Humboldt Universität zu Berlin, Berlin, Germany.ORCID 0000-0002-2133-9498

Funding

Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) 460683900German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) #16SV5536K, #16SV5537, #16SV5538, #16SV5837, #01UW0808, #01GL1716A, and #01GL1716BHeisenberg program of the German Research Foundation LI 2654/4-1Max Planck Institute for Human Development, Berlin, Germany
6 · The paper itself

Abstract

Aging is a complex process influenced by mechanisms operating at numerous levels of functioning. Multiple biomarkers of age have been identified, yet we know little about how the different alternative age indicators are intertwined. In the Berlin Aging Study II (nmin = 328; nmax = 1 517, women = 51%; 14.27 years of education), we examined how levels and 7-year changes in indicators derived from blood assays, magnetic resonance imaging brain scans, other-ratings, and self-reports converge among older adults. We included 8 epigenetic biomarkers (incl. 5 epigenetic "clocks"), a BioAge composite from clinical laboratory parameters, brain age, skin age, subjective age, subjective life expectancy, and subjective health horizon. We found moderate associations within aging domains, both cross-sectionally and longitudinally over 7 years. However, associations across different domains were infrequent and modest. Notably, participants with older BioAge had correspondingly older epigenetic ages. Our results suggest that different aging clocks are only loosely interconnected and that more specific measures are needed to differentiate healthy from unhealthy aging.

Indexed as

AgingAgedAged, 80 and overBiomarkersCross-Sectional StudiesEpigenesis, GeneticFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedBiomarkersAge indicatorAgingBASE-IIBiological ageEpigenetic clock

Identifiers

PMID39383103
PMCPMC12104808

What OpenQuestion holds

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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.