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dc.contributor.authorKankaanpää, Anna
dc.contributor.authorTolvanen, Asko
dc.contributor.authorHeikkinen, Aino
dc.contributor.authorKaprio, Jaakko
dc.contributor.authorOllikainen, Miina
dc.contributor.authorSillanpää, Elina
dc.date.accessioned2022-11-09T06:26:40Z
dc.date.available2022-11-09T06:26:40Z
dc.date.issued2022
dc.identifier.citationKankaanpää, A., Tolvanen, A., Heikkinen, A., Kaprio, J., Ollikainen, M., & Sillanpää, E. (2022). The role of adolescent lifestyle habits in biological aging : A prospective twin study. <i>eLife</i>, <i>11</i>, Article e80729. <a href="https://doi.org/10.7554/elife.80729" target="_blank">https://doi.org/10.7554/elife.80729</a>
dc.identifier.otherCONVID_159476041
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/83827
dc.description.abstractBackground: Adolescence is a stage of fast growth and development. Exposures during puberty can have long-term effects on health in later life. This study aims to investigate the role of adolescent lifestyle in biological aging. Methods: The study participants originated from the longitudinal FinnTwin12 study (n = 5114). Adolescent lifestyle-related factors, including body mass index (BMI), leisure-time physical activity, smoking, and alcohol use, were based on self-reports and measured at ages 12, 14, and 17 years. For a subsample, blood-based DNA methylation (DNAm) was used to assess biological aging with six epigenetic aging measures in young adulthood (21–25 years, n = 824). A latent class analysis was conducted to identify patterns of lifestyle behaviors in adolescence, and differences between the subgroups in later biological aging were studied. Genetic and environmental influences on biological aging shared with lifestyle behavior patterns were estimated using quantitative genetic modeling. Results: We identified five subgroups of participants with different adolescent lifestyle behavior patterns. When DNAm GrimAge, DunedinPoAm, and DunedinPACE estimators were used, the class with the unhealthiest lifestyle and the class of participants with high BMI were biologically older than the classes with healthier lifestyle habits. The differences in lifestyle-related factors were maintained into young adulthood. Most of the variation in biological aging shared with adolescent lifestyle was explained by common genetic factors. Conclusions: These findings suggest that an unhealthy lifestyle during pubertal years is associated with accelerated biological aging in young adulthood. Genetic pleiotropy may largely explain the observed associations.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publishereLife Sciences Publications, Ltd
dc.relation.ispartofserieseLife
dc.rightsCC BY 4.0
dc.titleThe role of adolescent lifestyle habits in biological aging : A prospective twin study
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202211095128
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiaineGerontologia ja kansanterveysfi
dc.contributor.oppiainePsychologyen
dc.contributor.oppiaineGerontology and Public Healthen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn2050-084X
dc.relation.volume11
dc.type.versionpublishedVersion
dc.rights.copyright© Kankaanpää et al.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber346509
dc.relation.grantnumber341750
dc.subject.ysonuoret aikuiset
dc.subject.ysonuoret
dc.subject.ysofyysinen aktiivisuus
dc.subject.ysonuoruus
dc.subject.ysoelämäntapa
dc.subject.ysoelintavat
dc.subject.ysoterveyskäyttäytyminen
dc.subject.ysomurrosikä
dc.subject.ysoperimä
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p15979
jyx.subject.urihttp://www.yso.fi/onto/yso/p11617
jyx.subject.urihttp://www.yso.fi/onto/yso/p23102
jyx.subject.urihttp://www.yso.fi/onto/yso/p15327
jyx.subject.urihttp://www.yso.fi/onto/yso/p8760
jyx.subject.urihttp://www.yso.fi/onto/yso/p5530
jyx.subject.urihttp://www.yso.fi/onto/yso/p11100
jyx.subject.urihttp://www.yso.fi/onto/yso/p15514
jyx.subject.urihttp://www.yso.fi/onto/yso/p8862
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.7554/elife.80729
dc.relation.funderResearch Council of Finlanden
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramResearch costs of Academy Research Fellow, AoFen
jyx.fundingprogramAcademy Research Fellow, AoFen
jyx.fundingprogramAkatemiatutkijan tutkimuskulut, SAfi
jyx.fundingprogramAkatemiatutkija, SAfi
jyx.fundinginformationThis work was supported by the Academy of Finland (213506, 265240, 263278, 312073 to J.K., 297908 to M.O. and 341750, 346509 to E.S.), EC FP5 GenomEUtwin (J.K.), National Institutes of Health/National Heart, Lung, and Blood Institute (grant HL104125), EC MC ITN Project EPITRAIN (J.K. and M.O.), the University of Helsinki Research Funds (M.O.), Sigrid Juselius Foundation (J.K. and M.O.), Yrjö Jahnsson Foundation (6868), Juho Vainio Foundation (E.S.) and Päivikki and Sakari Sohlberg foundation (E.S.).
dc.type.okmA1


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