Liu Tingting, Conley Yvette P, Erickson Kirk I, Miao Hongyu, Connolly Colm G, Ormsbee Michael J, Li Changwei
Florida State University College of Nursing, Tallahassee, FL, USA.
University of Pittsburgh School of Nursing, Pittsburgh, PA, USA.
Biol Res Nurs. 2025 Jul;27(3):442-452. doi: 10.1177/10998004251334415. Epub 2025 Apr 15.
To examine the association between trajectories of physical activity (PA) over 12 years and epigenetic age acceleration (EAA) in 3600 middle-aged and older adults of the Health and Retirement Study. Latent variable mixture modeling identified subgroups with similar trajectories of vigorous, moderate, and light PA from 2004 to 2016. Six EAAs, including Horvath's age acceleration, Hannum's age acceleration, GrimAge acceleration, PhenoAge acceleration, DunedinPoAm acceleration, and ZhangAA were calculated by regressing epigenetic age on chronological age in 2016. Linear regression models tested associations of PA trajectories with EAAs, controlling for age, sex, race, education, smoking, alcohol consumption, and depression. Five trajectories were identified for each PA type. Moderate and light PA trajectories were stable or slightly changed over time. In contrast, vigorous PA trajectories were either consistently low (27.2%), slightly increased at a low level (14.9%), decreased from moderate to low levels (25.9%), increased to a high level (11.9%), or consistently high (20.1%). Moderate PA trajectories were negatively associated with EAA across six epigenetic clocks ( < .01). Light PA trajectories were not associated with any EAA. Vigorous PA trajectories were associated with slower GrimAge acceleration ( .004) and DunedinPoAm acceleration ( .03). Participants that showed consistently high or increasing vigorous PA had slower EAA compared to those with consistently low vigorous PA. Moderate and vigorous, but not light, PA trajectories were associated with slower EAAs.
为研究健康与退休研究中3600名中老年人12年期间身体活动（PA）轨迹与表观遗传年龄加速（EAA）之间的关联。潜在变量混合模型确定了2004年至2016年期间剧烈、中等和轻度PA轨迹相似的亚组。通过将2016年的表观遗传年龄对实际年龄进行回归，计算了六种EAA，包括霍瓦斯年龄加速、汉纳姆年龄加速、GrimAge加速、PhenoAge加速、达尼丁PoAm加速和张AA。线性回归模型检验了PA轨迹与EAA之间的关联，并控制了年龄、性别、种族、教育程度、吸烟、饮酒和抑郁情况。每种PA类型都确定了五种轨迹。中等强度和轻度PA轨迹随时间稳定或略有变化。相比之下，剧烈PA轨迹要么一直较低（27.2%），在低水平上略有增加（14.9%），从中等水平降至低水平（25.9%），升至高水平（11.9%），要么一直较高（20.1%）。中等强度PA轨迹在六个表观遗传时钟中均与EAA呈负相关（P<0.01）。轻度PA轨迹与任何EAA均无关联。剧烈PA轨迹与较慢的GrimAge加速（P = 0.004）和达尼丁PoAm加速（P = 0.03）相关。与剧烈PA一直较低的参与者相比，剧烈PA一直较高或增加的参与者EAA较慢。中等强度和剧烈强度（而非轻度）PA轨迹与较慢的EAA相关。
