中老年人群12年体育活动轨迹与表观遗传年龄加速

Tingting Liu, Yvette P Conley, Kirk I Erickson, Hongyu Miao, Colm G Connolly, Michael J Ormsbee, Changwei Li
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引用次数: 0

摘要

目的:探讨健康与退休研究中3600名中老年人12年以上身体活动轨迹(PA)与表观遗传年龄加速(EAA)之间的关系。方法:潜变量混合模型识别2004年至2016年具有类似剧烈、中度和轻度PA轨迹的亚组。通过对2016年表观遗传年龄对实足年龄的回归,计算了Horvath的年龄加速、Hannum的年龄加速、GrimAge的年龄加速、PhenoAge的年龄加速、DunedinPoAm的年龄加速和ZhangAA的6个eaa。线性回归模型检验了PA轨迹与eaa的关联,控制了年龄、性别、种族、教育、吸烟、饮酒和抑郁。结果:每种PA类型确定了五个轨迹。随着时间的推移,中度和轻度PA轨迹稳定或略有变化。相比之下,强烈的PA轨迹要么持续低(27.2%),在低水平上略有增加(14.9%),从中等水平下降到低水平(25.9%),增加到高水平(11.9%),或持续高(20.1%)。在6个表观遗传时钟中,中度PA轨迹与EAA呈负相关(p < 0.01)。轻PA轨迹与任何EAA无关。剧烈的PA轨迹与较慢的GrimAge加速度(p = 0.004)和DunedinPoAm加速度(p = 0.03)相关。与持续低强度PA的参与者相比,持续高强度PA的参与者EAA速度较慢。结论:中度和剧烈的PA轨迹与较慢的eaa相关,而不是轻度PA轨迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
12-Year Physical Activity Trajectories and Epigenetic Age Acceleration Among Middle-Aged and Older Adults.

Purpose: 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. Methods: 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. Results: 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 (p < .01). Light PA trajectories were not associated with any EAA. Vigorous PA trajectories were associated with slower GrimAge acceleration (p = .004) and DunedinPoAm acceleration (p = .03). Participants that showed consistently high or increasing vigorous PA had slower EAA compared to those with consistently low vigorous PA. Conclusion: Moderate and vigorous, but not light, PA trajectories were associated with slower EAAs.

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