Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Spain.
CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
J Gerontol A Biol Sci Med Sci. 2021 Jan 1;76(1):85-94. doi: 10.1093/gerona/glaa177.
We examined the association of time allocation among physical activity (PA), sedentary behavior (SB), and sleep with unhealthy aging (UA), using both accelerometry and self-reports.
We used cross-sectional data from 2312 individuals aged 65 years and older. Physical activity, SB, and sleep were ascertained by both wrist accelerometers and validated questionnaires, and UA was measured with a 52-item health-deficit accumulation index. Analyses used isotemporal substitution linear regression models.
Less deficit accumulation was observed when the distribution of activities was 30 min/d less of SB and 30 min/d more of PA for both accelerometer (fully adjusted β [95% CI]: -0.75 [-0.90, -0.61]) and self-reports (-0.55 [-0.65, -0.45]), as well as less long sleep and more PA (accelerometer: -1.44 [-1.86, -1.01]; self-reports: -2.35 [-3.35, -1.36]) or more SB (accelerometer: -0.45 [-0.86, -0.05]; self-reports: -1.28 [-2.29, -0.28]), less normal sleep and more moderate-to-vigorous PA (accelerometer: -1.70 [-2.28, -1.13]; self-reports: -0.65 [-0.99, -0.31]), and less accelerometer light PA and more moderate-to-vigorous PA (-1.62 [-2.17, -1.07]). However, more deficit accumulation was observed when less sleep was accompanied by either more SB or more light PA in short sleepers. Self-reports captured differential associations by activity: walking appeared to be as beneficial as more vigorous activities, such as cycling or sports, and reading was associated with less UA than more mentally passive SBs, such as watching TV.
More PA was associated with less UA when accompanied by less SB time or sleep in long/normal sleepers, but not in short sleepers, where the opposite was found. Accelerometry and self-reports provided consistent associations.
我们使用加速度计和自我报告的方法，研究了体力活动（PA）、久坐行为（SB）和睡眠时间分配与不健康衰老（UA）之间的关系。
我们使用了 2312 名 65 岁及以上人群的横断面数据。PA、SB 和睡眠通过腕部加速度计和经过验证的问卷来确定，UA 通过 52 项健康缺陷积累指数来衡量。分析采用等时替代线性回归模型。
当加速度计（完全调整β[95%CI]：-0.75[-0.90，-0.61]）和自我报告（-0.55[-0.65，-0.45]）的 SB 时间减少 30 分钟/天，PA 时间增加 30 分钟/天，以及当长睡眠时间减少、PA 时间增加（加速度计：-1.44[-1.86，-1.01]；自我报告：-2.35[-3.35，-1.36]）或 SB 时间增加（加速度计：-0.45[-0.86，-0.05]；自我报告：-1.28[-2.29，-0.28]），正常睡眠时间减少、中高强度 PA 时间增加（加速度计：-1.70[-2.28，-1.13]；自我报告：-0.65[-0.99，-0.31]），以及加速度计轻 PA 时间减少、中高强度 PA 时间增加（-1.62[-2.17，-1.07]）时，UA 积累的缺陷较少。然而，在短睡眠者中，睡眠减少时如果伴有更多的 SB 或更多的轻 PA，则会导致更多的 UA 积累。自我报告通过活动捕捉到了不同的关联：与更多精神被动的 SB（如看电视）相比，散步似乎与骑车或运动等更剧烈的活动一样有益，阅读与更少的 UA 相关，而不是与更多的精神被动的 SB（如看电视）相关。
在长/正常睡眠时间者中，PA 增加伴随 SB 时间或睡眠时间减少与 UA 减少有关，但在短睡眠者中则相反。加速度计和自我报告提供了一致的关联。
