Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)
Leisure-Time and Occupational Physical Activity Associates Differently with Epigenetic Aging
Julkaisun tekijät: Kankaanpää Anna, Tolvanen Asko, Bollepalli Sailalitha, Leskinen Tuija, Kujala Urho M, Kaprio Jaakko, Ollikainen Miina, Sillanpää Elina
Kustantaja: Lippincott Williams and Wilkins
Julkaisuvuosi: 2021
Journal: Medicine and Science in Sports and Exercise
Tietokannassa oleva lehden nimi: Medicine and science in sports and exercise
Lehden akronyymi: Med Sci Sports Exerc
Volyymi: 53
Julkaisunumero: 3
Aloitussivu: 487
Lopetussivun numero: 495
Sivujen määrä: 9
ISSN: 0195-9131
eISSN: 1530-0315
DOI: http://dx.doi.org/10.1249/MSS.0000000000002498
Verkko-osoite: https://journals.lww.com/acsm-msse/Fulltext/2021/03000/Leisure_Time_and_Occupational_Physical_Activity.4.aspx
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/52215971
Purpose
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 yr, n = 285) and older (55-74 yr, 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 modeling.
Results
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.
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.
Ladattava julkaisu This is an electronic reprint of the original article. |