Imes Christopher C, Bizhanova Zhadyra, Kline Christopher E, Rockette-Wagner Bonny, Chasens Eileen R, Sereika Susan M, Burke Lora E
School of Nursing, University of Pittsburgh, Pittsburgh, PA.
Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA.
Sleep Adv. 2021 Mar 26;2(1):zpab004. doi: 10.1093/sleepadvances/zpab004. eCollection 2021.
The relationships between daytime sedentary behavior and that night's sleep and sleep and next day's sedentary behavior are unknown. The purpose of this analysis was to examine these potentially bidirectional associations.
This study was a secondary analysis of baseline data from an ecological momentary assessment study to determine the triggers for dietary lapses during a weight loss intervention. Sedentary behavior, physical activity, and sleep were objectively measured using accelerometers. Linear mixed modeling was used to examine the bidirectional multivariate associations between activity and sleep characteristics for each outcome examined separately. The models included sex, age, body mass index (BMI), education, and day of the week (weekday vs. weekend).
Participants were predominantly white (81.5%) and female (88.9%) with a mean age of 51.2 ± 10.6 years. Longer previous night's total sleep time (TST) ( = -0.320, standard error [SE] = 0.060; < .001) and being a weekend ( = -63.845, SE = 9.406; < .001) were associated with less sedentary time the next day. More daytime sedentary time was associated with less wake after sleep onset ( = -0.018, SE = 0.008; = .016), fewer awakenings ( = -0.010, SE = 0.004; = .016), and less TST ( = -0.060, SE = 0.028; = .029) that night.
The bidirectional relationships between sedentary time and sleep characteristics are complex and may vary depending on participant characteristics and duration of sedentary and sleep time. Interventions to decrease sedentary behavior may benefit by targeting sleep duration and weekday activity.
白天久坐行为与当晚睡眠以及睡眠与次日久坐行为之间的关系尚不清楚。本分析的目的是研究这些潜在的双向关联。
本研究是一项对生态瞬时评估研究的基线数据进行的二次分析,以确定减肥干预期间饮食失误的触发因素。使用加速度计客观测量久坐行为、身体活动和睡眠情况。分别对每个研究结果使用线性混合模型来检验活动与睡眠特征之间的双向多变量关联。模型包括性别、年龄、体重指数(BMI)、教育程度和星期几(工作日与周末)。
参与者主要为白人(81.5%)和女性(88.9%),平均年龄为51.2±10.6岁。前一晚较长的总睡眠时间(TST)(β=-0.320,标准误[SE]=0.060;P<.001)以及处于周末(β=-63.845,SE=9.406;P<.001)与次日较少的久坐时间相关。白天较长的久坐时间与睡眠开始后较少的清醒时间(β=-0.018,SE=0.008;P=.016)、较少的觉醒次数(β=-0.010,SE=0.004;P=.016)以及当晚较少的TST(β=-0.060,SE=0.0,28;P=.029)相关。
久坐时间与睡眠特征之间的双向关系很复杂,可能因参与者特征以及久坐和睡眠时间的长短而有所不同。减少久坐行为的干预措施可能通过针对睡眠时间和工作日活动而受益。