Irish Leah A, Kline Christopher E, Rothenberger Scott D, Krafty Robert T, Buysse Daniel J, Kravitz Howard M, Bromberger Joyce T, Zheng Huiyong, Hall Martica H
Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara Street, Room E-1131, Pittsburgh, PA, 15213, USA.
Ann Behav Med. 2014 Apr;47(2):189-97. doi: 10.1007/s12160-013-9533-3.
Although sleep is often associated with waking health behaviors (WHB) such as alcohol consumption, caffeine use, smoking, and exercise, the causal direction of these relationships is unclear.
The present study used time series data to examine the temporal dynamics of WHB and sleep characteristics in participants of the Study of Women's Health Across the Nation Sleep Study.
Three hundred three women completed daily assessments of WHB and wore wrist actigraphs to measure sleep characteristics for the duration of the study (mean = 29.42 days, SD = 6.71).
Vector autoregressive modeling revealed that weekly patterns of sleep and WHB best predicted subsequent sleep and WHB suggesting that the associations between WHB and sleep persist beyond their immediate influence. Some WHB predicted some subsequent sleep characteristics, but sleep did not predict subsequent WHB.
These novel findings provide insight into the temporal dynamics of 24-h behaviors and encourage consideration of both sleep and WHB in health promotion and behavior change efforts.
尽管睡眠常常与清醒时的健康行为（如饮酒、使用咖啡因、吸烟和锻炼）相关联，但这些关系的因果方向尚不清楚。
本研究使用时间序列数据来检验全国女性健康睡眠研究参与者中清醒时健康行为和睡眠特征的时间动态。
303名女性完成了对清醒时健康行为的每日评估，并佩戴手腕活动记录仪以测量研究期间的睡眠特征（平均 = 29.42天，标准差 = 6.71）。
向量自回归模型显示，睡眠和清醒时健康行为的每周模式最能预测随后的睡眠和清醒时健康行为，这表明清醒时健康行为和睡眠之间的关联在其直接影响之外仍然存在。一些清醒时健康行为预测了一些随后的睡眠特征，但睡眠并未预测随后的清醒时健康行为。
这些新发现为24小时行为的时间动态提供了见解，并鼓励在健康促进和行为改变努力中同时考虑睡眠和清醒时健康行为。
