Temporal Relationships between Physical Activity and Sleep in Older Women
Temporal Relationships between Physical Activity and Sleep in Older Women
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DOI：
10.1249/mss.0b013e31829e4cea
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发表时间：
2013-12-01
期刊：
影响因子：
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通讯作者：
Matthews, Karen A.
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文献类型：
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作者：
Lambiase, Maya J.;Gabriel, Kelley Pettee;Matthews, Karen A.
目的：本研究的目的是探讨时间和双向关系之间的加速度计衍生的身体活动估计和活动记录评估的睡眠特征的老年妇女。研究方法：健康女性研究中招募的一个参与者亚组（N = 143，平均年龄= 73岁）在腰部佩戴ActiGraph加速度计，在手腕上同时佩戴Actiwatch睡眠监测器，连续7天。多水平模型检查了ActiGraph评估的每日活动计数（ct.min（-1）.d（-1））和中等至剧烈强度体力活动（MVPA; min.d（-1））是否预测了Actiwatch评估的睡眠开始潜伏期、总睡眠时间、睡眠效率和睡眠片段。类似的模型被用来确定夜间睡眠特征是否预测第二天的身体活动。结果如下：在未校正的模型中，每日活动计数（B =-0.05，P = 0.005）和MVPA分钟数（B =-0.03，P = 0.01）越多，一周内总睡眠时间越少。睡眠效率越高，第二天的每日活动次数越多（B = 0.37，P = 0.01），MVPA分钟数越多（B = 0.64，P = 0.009）。睡眠片段较少也与第二天的每日活动计数和MVPA增加有关。在调整了年龄、教育程度、体重指数、抑郁症状、关节炎和加速度计佩戴时间后，结果相似。结论：很少有研究使用客观的措施来检查身体活动和睡眠之间的时间关系。值得注意的是，这些发现表明睡眠效率的夜间变化会影响第二天的身体活动。因此，除了减少夜间睡眠波动之外，提高整体睡眠质量对于鼓励老年女性积极的生活方式可能很重要。
Purpose: The objective of this study is to examine the temporal and bidirectional relationships between accelerometer-derived physical activity estimates and actigraphy-assessed sleep characteristics among older women. Methods: A subgroup of participants (N = 143, mean age = 73 yr) enrolled in the Healthy Women Study wore an ActiGraph accelerometer on their waist and an Actiwatch sleep monitor on their wrist concurrently for seven consecutive days. Multilevel models examined whether ActiGraph-assessed daily activity counts (ct.min(-1).d(-1)) and moderate-to vigorous-intensity physical activity (MVPA; min.d(-1)) predicted Actiwatch-assessed sleep onset latency, total sleep time, sleep efficiency, and sleep fragmentation. Similar models were used to determine whether nighttime sleep characteristics predicted physical activity the following day. Results: In unadjusted models, greater daily activity counts (B = -0.05, P = 0.005) and more minutes of MVPA (B = -0.03, P = 0.01) were temporally associated with less total sleep time across the week. Greater sleep efficiency was associated with greater daily activity counts (B = 0.37, P = 0.01) and more minutes of MVPA (B = 0.64, P = 0.009) the following day. Less sleep fragmentation was also associated with greater daily activity counts and more MVPA the following day. Findings were similar after adjustment for age, education, body mass index, depressive symptoms, arthritis, and accelerometer wear time. Conclusions: Few studies have used objective measures to examine the temporal relationships between physical activity and sleep. Notably, these findings suggest that nightly variations in sleep efficiency influence physical activity the following day. Thus, improving overall sleep quality in addition to reducing nightly fluctuations in sleep may be important for encouraging a physically active lifestyle in older women.