Evidence map›Paper›PMID 34752604›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022

Do Epigenetic Clocks Provide Explanations for Sex Differences in Life Span? A Cross-Sectional Twin Study.

Anna Kankaanpää, Asko Tolvanen, Pirkko Saikkonen, Aino Heikkinen, Eija K Laakkonen, Jaakko Kaprio, Miina Ollikainen, Elina Sillanpää

Open access · hybridAbstract readTwin Study
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Accelerated epigenetic age in hypertension: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Pooled it
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  12. Cell-Type-Specific Autophagy in Human Leukocytes.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  13. A Sex-Specific Minimal CpG-Based Model for Biological Aging UsingInternational journal of molecular sciences · 2025
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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

8 authors at 2 institutions in 1 country.

Anna KankaanpääGerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.ORCID 0000-0002-6973-5385
Asko TolvanenMethodology Center for Human Sciences, University of Jyväskylä, Jyväskylä, Finland.
Pirkko SaikkonenGerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Aino HeikkinenInstitute for Molecular Medicine Finland (FIMM), HiLife, University of Helsinki, Helsinki, Finland.
Eija K LaakkonenGerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.ORCID 0000-0001-6655-9489
Jaakko KaprioInstitute for Molecular Medicine Finland (FIMM), HiLife, University of Helsinki, Helsinki, Finland.
Miina OllikainenInstitute for Molecular Medicine Finland (FIMM), HiLife, University of Helsinki, Helsinki, Finland.
Elina SillanpääGerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.ORCID 0000-0001-6375-959X
University of Helsinki · FIUniversity of Jyväskylä · FI

Funding

A GENOME-WIDE METHYLATION STUDY ON ESSENTIAL HYPERTENSIONR01HL104125 · NHLBI · AUGUSTA UNIVERSITY · PI WANG, XIAOLING · 2011 to 2015
$2.9M
Academy of Finland 213506NHLBI NIH HHS R01 HL104125Yrjö Jahnsson Foundation 6868
6 · The paper itself

Abstract

backgroundThe sex gap in life expectancy has been narrowing in Finland over the past 4-5 decades; however, on average, women still live longer than men. Epigenetic clocks are markers for biological aging which predict life span. In this study, we examined the mediating role of lifestyle factors on the association between sex and biological aging in younger and older adults.

methodsOur sample consists of younger and older twins (21‒42 years, n = 1 477; 50‒76 years, n = 763) including 151 complete younger opposite-sex twin pairs (21‒30 years). Blood-based DNA methylation was used to compute epigenetic age acceleration by 4 epigenetic clocks as a measure of biological aging. Path modeling was used to study whether the association between sex and biological aging is mediated through lifestyle-related factors, that is, education, body mass index, smoking, alcohol use, and physical activity.

resultsIn comparison to women, men were biologically older and, in general, they had unhealthier life habits. The effect of sex on biological aging was partly mediated by body mass index and, in older twins, by smoking. Sex was directly associated with biological aging and the association was stronger in older twins.

conclusionsPreviously reported sex differences in life span are also evident in biological aging. Declining smoking prevalence among men is a plausible explanation for the narrowing of the difference in life expectancy between the sexes. Data generated by the epigenetic clocks may help in estimating the effects of lifestyle and environmental factors on aging and in predicting aging in future generations.

Indexed as

Epigenesis, GeneticLongevityAdultAgedAgingCross-Sectional StudiesDNA MethylationFemaleHumansMaleMiddle AgedSex CharacteristicsYoung AdultBiological ageDNA methylationLife spanLifestyleSex gap

Identifiers

PMID34752604
PMCPMC9434475
OpenAlexW3213055265

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.