Leisure-Time and Occupational Physical Activity Associates Differently with Epigenetic Aging

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.contributor.organizationfi=kansanterveystiede|en=Public Health|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.94792640685
dc.converis.publication-id52215971
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/52215971
dc.date.accessioned2022-10-28T13:01:57Z
dc.date.available2022-10-28T13:01:57Z
dc.description.abstract<p><strong>Purpose</strong><br></p><p>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.</p><p><strong>Methods</strong><br></p><p>The participants were young adult (21-25 yr, <em>n</em> = 285) and older (55-74 yr, <em>n</em> = 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 modeling.<br></p><p><strong>Results</strong><br></p><p><strong></strong>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 nonshared 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.<br></p><p><strong>Conclusions</strong><br></p><p>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.</p>
dc.format.pagerange487
dc.format.pagerange495
dc.identifier.eissn1530-0315
dc.identifier.jour-issn0195-9131
dc.identifier.olddbid179220
dc.identifier.oldhandle10024/162314
dc.identifier.urihttps://www.utupub.fi/handle/11111/36853
dc.identifier.urlhttps://journals.lww.com/acsm-msse/Fulltext/2021/03000/Leisure_Time_and_Occupational_Physical_Activity.4.aspx
dc.identifier.urnURN:NBN:fi-fe2021042820813
dc.language.isoen
dc.okm.affiliatedauthorLeskinen, Tuija
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3142 Public health care science, environmental and occupational healthen_GB
dc.okm.discipline3142 Kansanterveystiede, ympäristö ja työterveysfi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherLippincott Williams and Wilkins
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.doi10.1249/MSS.0000000000002498
dc.relation.ispartofjournalMedicine and Science in Sports and Exercise
dc.relation.issue3
dc.relation.volume53
dc.source.identifierhttps://www.utupub.fi/handle/10024/162314
dc.titleLeisure-Time and Occupational Physical Activity Associates Differently with Epigenetic Aging
dc.year.issued2021

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