Evidence map›Paper›PMID 40063409›Full record

ArticleAging cell2025

Associations Between Leisure-Time Physical Activity and Metabolomics-Based Markers of Biological Aging in Late Midlife: Short-Term and Long-Term Follow-Up.

Katri Ruutu, Niko S Wasenius, Kothandaraman Narasimhan, Tuija M Mikkola, Merja K Laine, Johan G Eriksson

Abstract read
In one paragraph

Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Leisure-time physical activity and metabolomic trajectories over the transition from late midlife to old age.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  2. Review
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.

Katri RuutuFolkhälsan Research Center, Helsinki, Finland.ORCID 0000-0002-1707-4503
Niko S WaseniusFolkhälsan Research Center, Helsinki, Finland.
Kothandaraman NarasimhanInstitute for Human Development and Potential, Agency for Science, Technology and Research, Singapore City, Singapore.
Tuija M MikkolaFolkhälsan Research Center, Helsinki, Finland.
Merja K LaineFolkhälsan Research Center, Helsinki, Finland.
Johan G ErikssonFolkhälsan Research Center, Helsinki, Finland.

Funding

Finnish Foundation for Cardiovascular ResearchFinnish Foundation for Diabetes ResearchFinska LäkaresällskapetJuho Vainion SäätiöMedicinska Understödsföreningen Liv och HälsaSamfundet FolkhälsanSigne ja Ane Gyllenbergin Säätiö
6 · The paper itself

Abstract

Physical activity (PA) may delay the onset of age-related diseases by decelerating biological aging. We investigated the association between leisure-time physical activity (LTPA) and metabolomics-based aging markers (MetaboAge and MetaboHealth) in late midlife and during 16 years of follow-up. At the 16-year follow-up, we also investigated the association between device-based PA and MetaboAge and MetaboHealth. We included 1816 individuals (mean age 61.6 years) from the Helsinki Birth Cohort Study at baseline and followed them up for 5 (n = 982) and 16 years (n = 744), respectively. LTPA was assessed via questionnaire at baseline and 16 years later and device-based PA with ActiGraph accelerometer at the 16-year follow-up. Fasting blood samples were applied to calculate MetaboAge acceleration (ΔmetaboAge) and MetaboHealth at baseline and at both follow-ups. Covariate-adjusted multiple regression analyses and linear mixed models were applied to study the associations. A higher volume of LTPA at baseline was associated with a lower MetaboHealth score at the 5-year follow-up (p < 0.0001 for time × LTPA interaction). No associations were detected at the 16-year follow-up. An increase in LTPA over 16 years was associated with a decrease in MetaboHealth score (p < 0.001) and a decrease in LTPA with an increase in MetaboHealth score. Higher device-based PA was associated with a lower MetaboHealth score, but not with ΔmetaboAge. In conclusion, higher LTPA in late midlife and device-based PA in old age were associated with improved MetaboHealth. Increasing LTPA with age may protect against MetaboHealth-based aging. The results support the importance of PA for biological aging in later life.

Indexed as

AgingBiomarkersExerciseLeisure ActivitiesMetabolomicsAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedBiomarkersaccelerometer‐based physical activitybiological agingleisure‐time physical activitymetabolic agingmetabolomics

Identifiers

PMID40063409
PMCPMC12151911

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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.