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dc.contributor.authorKankaanpää, Anna
dc.contributor.authorTolvanen, Asko
dc.contributor.authorBollepalli, Sailalitha
dc.contributor.authorLeskinen, Tuija
dc.contributor.authorKujala, Urho M.
dc.contributor.authorKaprio, Jaakko
dc.contributor.authorOllikainen, Miina
dc.contributor.authorSillanpää, Elina
dc.date.accessioned2021-02-22T09:00:11Z
dc.date.available2021-02-22T09:00:11Z
dc.date.issued2021
dc.identifier.citationKankaanpää, A., Tolvanen, A., Bollepalli, S., Leskinen, T., Kujala, U. M., Kaprio, J., Ollikainen, M., & Sillanpää, E. (2021). Leisure-Time and Occupational Physical Activity Associates Differently with Epigenetic Aging. <i>Medicine and Science in Sports and Exercise</i>, <i>53</i>(3), 487-495. <a href="https://doi.org/10.1249/MSS.0000000000002498" target="_blank">https://doi.org/10.1249/MSS.0000000000002498</a>
dc.identifier.otherCONVID_41992101
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/74324
dc.description.abstractPurpose: Greater leisure-time physical activity (LTPA) associates with healthier lives, but knowledge regarding occupational physical activity (OPA) is more inconsistent. DNA methylation (DNAm) patterns capture age-related changes in different tissues. We aimed to assess how LTPA and OPA are associated with three DNAm based epigenetic age estimates, namely DNAm Age, PhenoAge and GrimAge. Methods: The participants were young adult (21-25-year-old, n = 285) and older (55-74-year-old, n = 235) twin pairs, including 16 pairs with documented long-term LTPA discordance. Genome-wide DNAm from blood samples was used to compute DNAm Age, PhenoAge and GrimAge Age acceleration (Acc), which describes the difference between chronological and epigenetic ages. Physical activity was assessed with sport, leisure-time and work indices based on the Baecke Questionnaire. Genetic and environmental variance components of epigenetic age Acc were estimated by quantitative genetic modelling.Epigenetic age Acc was highly heritable in young adult and older twin pairs (~60%). Sport index was associated with slower and OPA with faster DNAm GrimAge Acc after adjusting the model for sex. Genetic factors and non-shared environmental factors in common with sport index explained 1.5-2.7% and 1.9-3.5%, respectively, of the variation in GrimAge Acc. The corresponding proportions considering OPA were 0.4-1.8% and 0.7-1.8%, respectively. However, these proportions were minor (<0.5%) after adjusting the model for smoking status. Conclusions: LTPA associates with slower and OPA with faster epigenetic aging. However, adjusting the models for smoking status, which may reflect the accumulation of unhealthy lifestyle habits, attenuated the associations.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherLippincott Williams & Wilkins
dc.relation.ispartofseriesMedicine and Science in Sports and Exercise
dc.rightsCC BY-NC-ND 4.0
dc.titleLeisure-Time and Occupational Physical Activity Associates Differently with Epigenetic Aging
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202102221718
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosKasvatustieteiden ja psykologian tiedekuntafi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.contributor.laitosFaculty of Education and Psychologyen
dc.contributor.oppiaineGerontologia ja kansanterveysfi
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiaineLiikuntalääketiedefi
dc.contributor.oppiaineGerontologian tutkimuskeskusfi
dc.contributor.oppiaineHyvinvoinnin tutkimuksen yhteisöfi
dc.contributor.oppiaineGerontology and Public Healthen
dc.contributor.oppiainePsychologyen
dc.contributor.oppiaineSports and Exercise Medicineen
dc.contributor.oppiaineGerontology Research Centeren
dc.contributor.oppiaineSchool of Wellbeingen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange487-495
dc.relation.issn0195-9131
dc.relation.numberinseries3
dc.relation.volume53
dc.type.versionpublishedVersion
dc.rights.copyright© 2020 the Authors
dc.rights.accesslevelopenAccessfi
dc.subject.ysoepigenetiikka
dc.subject.ysofyysinen kuormittavuus
dc.subject.ysoDNA-metylaatio
dc.subject.ysoliikunta
dc.subject.ysotyön kuormittavuus
dc.subject.ysofyysinen aktiivisuus
dc.subject.ysoikääntyminen
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p24631
jyx.subject.urihttp://www.yso.fi/onto/yso/p136
jyx.subject.urihttp://www.yso.fi/onto/yso/p38350
jyx.subject.urihttp://www.yso.fi/onto/yso/p916
jyx.subject.urihttp://www.yso.fi/onto/yso/p129
jyx.subject.urihttp://www.yso.fi/onto/yso/p23102
jyx.subject.urihttp://www.yso.fi/onto/yso/p5056
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1249/MSS.0000000000002498
jyx.fundinginformationThis work was supported by the Academy of Finland [260001 to ES, 213506, 308248, 312073 to JK, 251316, and 297908 to MO], EC FP5 GenomEUtwin (JK), NIH NIH/NHLBI (grant HL104125), EC MC ITN Project EPITRAIN (JK & MO) project and the University of Helsinki Research Funds to MO, Sigrid Juselius Foundation to MO and JK, Yrjö Jahnsson Foundation (6868) and Juho Vainio Foundation to ES. TWINACTIVE study was supported by the Finnish Ministry of Education and Culture (UMK), Academy of Finland (UMK) and Juho Vainio Foundation (UMK).
dc.type.okmA1


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