Evidence map›Paper›PMID 37584423›Full record

ArticleAging cell2024

Associations between cardiorespiratory fitness and lifestyle-related factors with DNA methylation-based ageing clocks in older men: WASEDA'S Health Study.

Takuji Kawamura, Zsolt Radak, Hiroki Tabata, Hiroshi Akiyama, Nobuhiro Nakamura, Ryoko Kawakami, Tomoko Ito, Chiyoko Usui, Matyas Jokai, Ferenc Torma and 12 more

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  8. Association of Epigenetic Markers of Aging With Prevalent and Incident Type 2 Diabetes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
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  18. Physical Activity and Epigenetic Aging in Breast Cancer Treatment.International journal of molecular sciences · 2024
    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

22 authors at 5 institutions in 3 countries.

Takuji KawamuraWaseda Institute for Sport Sciences, Waseda University, Saitama, Japan.ORCID 0000-0003-2110-8718
Zsolt RadakResearch Centre for Molecular Exercise Science, Hungarian University of Sports Science, Budapest, Hungary.
Hiroki TabataWaseda Institute for Sport Sciences, Waseda University, Saitama, Japan.
Hiroshi AkiyamaGraduate School of Sport Sciences, Waseda University, Saitama, Japan.ORCID 0000-0002-9771-1823
Nobuhiro NakamuraFaculty of Sport Sciences, Waseda University, Saitama, Japan.
Ryoko KawakamiWaseda Institute for Sport Sciences, Waseda University, Saitama, Japan.
Tomoko ItoWaseda Institute for Sport Sciences, Waseda University, Saitama, Japan.
Chiyoko UsuiFaculty of Sport Sciences, Waseda University, Saitama, Japan.
Matyas JokaiResearch Centre for Molecular Exercise Science, Hungarian University of Sports Science, Budapest, Hungary.
Ferenc TormaFaculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, Japan.
Hyeon-Ki KimResearch Centre for Molecular Exercise Science, Hungarian University of Sports Science, Budapest, Hungary.
Motohiko MiyachiFaculty of Sport Sciences, Waseda University, Saitama, Japan.
Suguru ToriiFaculty of Sport Sciences, Waseda University, Saitama, Japan.
Katsuhiko SuzukiFaculty of Sport Sciences, Waseda University, Saitama, Japan.
Kaori IshiiFaculty of Sport Sciences, Waseda University, Saitama, Japan.
Shizuo SakamotoFaculty of Sport Sciences, Waseda University, Saitama, Japan.
Koichiro OkaFaculty of Sport Sciences, Waseda University, Saitama, Japan.
Mitsuru HiguchiFaculty of Sport Sciences, Waseda University, Saitama, Japan.
Isao MuraokaFaculty of Sport Sciences, Waseda University, Saitama, Japan.
Kristen M McGreevyDepartment of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, USA.
Steve HorvathDepartment of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, USA.ORCID 0000-0002-4110-3589
Kumpei TanisawaFaculty of Sport Sciences, Waseda University, Saitama, Japan.
Waseda University · JPHungarian School Sport Federation · HUUniversity of California, Los Angeles · USSurugadai University · JPUniversity of Tsukuba · JP

Funding

Japan Society for the Promotion of Science Grant-in-Aid for Early-Career Scientists/20K19520Waseda University Grant for Special Research Projects (2020-410)
6 · The paper itself

Abstract

DNA methylation-based age estimators (DNAm ageing clocks) are currently one of the most promising biomarkers for predicting biological age. However, the relationships between cardiorespiratory fitness (CRF), measured directly by expiratory gas analysis, and DNAm ageing clocks are largely unknown. We investigated the relationships between CRF and the age-adjusted value from the residuals of the regression of DNAm ageing clock to chronological age (DNAmAgeAcceleration: DNAmAgeAccel) and attempted to determine the relative contribution of CRF to DNAmAgeAccel in the presence of other lifestyle factors. DNA samples from 144 Japanese men aged 65-72 years were used to appraise first- (i.e., DNAmHorvath and DNAmHannum) and second- (i.e., DNAmPhenoAge, DNAmGrimAge, and DNAmFitAge) generation DNAm ageing clocks. Various surveys and measurements were conducted, including physical fitness, body composition, blood biochemical parameters, nutrient intake, smoking, alcohol consumption, disease status, sleep status, and chronotype. Both oxygen uptake at ventilatory threshold (VO

Indexed as

Cardiorespiratory FitnessAgedAgingDNA MethylationHumansLife StyleMaleOxygenOxygenbody compositionchronotypedrinkingelderly Japanese menepigenetic clockmicronutrientspeak oxygen uptakesmoking

Identifiers

PMID37584423
PMCPMC10776125
OpenAlexW4385850645

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.