Evidence map›Paper›PMID 35936763›Full record

ArticleFrontiers in aging neuroscience2022

Linking Brain Age Gap to Mental and Physical Health in the Berlin Aging Study II.

Philippe Jawinski, Sebastian Markett, Johanna Drewelies, Sandra Düzel, Ilja Demuth, Elisabeth Steinhagen-Thiessen, Gert G Wagner, Denis Gerstorf, Ulman Lindenberger, Christian Gaser and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  15. Metabolic Status Modulates Global and Local Brain Age Estimates in Overweight and Obese Adults.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Article
  16. Temporal autocorrelation is predictive of age-An extensive MEG time-series analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Review
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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

11 authors at 6 institutions in 1 country.

Philippe JawinskiDepartment of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.
Sebastian MarkettDepartment of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.
Johanna DreweliesDepartment of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.
Sandra DüzelCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
Ilja DemuthDivision of Lipid Metabolism, Department of Endocrinology and Metabolic Diseases, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Elisabeth Steinhagen-ThiessenDivision of Lipid Metabolism, Department of Endocrinology and Metabolic Diseases, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Gert G WagnerCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
Denis GerstorfCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
Ulman LindenbergerCenter for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
Christian GaserStructural Brain Mapping Group, Department of Psychiatry and Neurology, Jena University Hospital, Jena, Germany.
Simone KühnLise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany.
Max Planck Institute for Human Development · DEFreie Universität Berlin · DEHumboldt-Universität zu Berlin · DEFederal Institute for Population Research · DEJena University Hospital · DEUniversität Hamburg · DE

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

From a biological perspective, humans differ in the speed they age, and this may manifest in both mental and physical health disparities. The discrepancy between an individual's biological and chronological age of the brain ("brain age gap") can be assessed by applying machine learning techniques to Magnetic Resonance Imaging (MRI) data. Here, we examined the links between brain age gap and a broad range of cognitive, affective, socioeconomic, lifestyle, and physical health variables in up to 335 adults of the Berlin Aging Study II. Brain age gap was assessed using a validated prediction model that we previously trained on MRI scans of 32,634 UK Biobank individuals. Our statistical analyses revealed overall stronger evidence for a link between higher brain age gap and less favorable health characteristics than expected under the null hypothesis of no effect, with 80% of the tested associations showing hypothesis-consistent effect directions and 23% reaching nominal significance. The most compelling support was observed for a cluster covering both cognitive performance variables (episodic memory, working memory, fluid intelligence, digit symbol substitution test) and socioeconomic variables (years of education and household income). Furthermore, we observed higher brain age gap to be associated with heavy episodic drinking, higher blood pressure, and higher blood glucose. In sum, our results point toward multifaceted links between brain age gap and human health. Understanding differences in biological brain aging may therefore have broad implications for future informed interventions to preserve mental and physical health in old age.

Indexed as

agingBerlin Aging Study II (BASE-II)brain age gapcognitionmental health

Identifiers

PMID35936763
PMCPMC9355695
OpenAlexW4286457184

What OpenQuestion holds

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LicenceCC BY
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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.