A1 Journal article (refereed)
The role of adolescent lifestyle habits in biological aging : A prospective twin study (2022)


Kankaanpää, 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. eLife, 11, Article e80729. https://doi.org/10.7554/elife.80729


JYU authors or editors


Publication details

All authors or editorsKankaanpää, Anna; Tolvanen, Asko; Heikkinen, Aino; Kaprio, Jaakko; Ollikainen, Miina; Sillanpää, Elina

Journal or serieseLife

eISSN2050-084X

Publication year2022

Publication date08/11/2022

Volume11

Article numbere80729

PublishereLife Sciences Publications, Ltd

Publication countryUnited Kingdom

Publication languageEnglish

DOIhttps://doi.org/10.7554/elife.80729

Publication open accessOpenly available

Publication channel open accessOpen Access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/83827

Web address of parallel published publication (pre-print)https://www.medrxiv.org/content/10.1101/2022.05.30.22275761v1


Abstract

Background: 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.


Keywordsyoung peopleyoung adultsyouthpubertylifestyle habitslifestylegenomehealth behaviourphysical activity


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Ministry reportingYes

VIRTA submission year2022

JUFO rating2


Last updated on 2024-12-10 at 14:31