Chkhaidze Ana, Millar Brett M, Revenson Tracey A, Mindlis Irina
Department of Psychology, St. John's University, New York, NY, USA.
Rutgers Institute for Health, Health Care Policy and Aging Research, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
Int J Behav Med. 2024 Oct 25. doi: 10.1007/s12529-024-10326-x.
Many young adults report sleep problems, including insufficient sleep and poor sleep quality. Young adults are heavily reliant on electronic devices, even using them during bedtime with adverse effects on sleep. Given the importance of adequate sleep, the present study examined the daily association between using electronic devices during bedtime and sleep in a diverse sample of young adults with poor sleep.
We analyzed data from a pilot randomized controlled trial in which young adults with poor sleep [n = 46; 84% female; mean age 19.3 (SD = 2.9); 30% Asian, 19% Black/African American, 9% multiracial; 34% Hispanic/Latino] wore an electronic sleep tracking device (Fitbit Charge 3) and completed daily sleep diaries including questions about sleep and bedtime routine for 4 weeks following a behavioral sleep intervention. The effect of bedtime device use on sleep latency-time needed to fall asleep-and sleep duration was estimated by generalized linear mixed models (GLMM), adjusting for weeknights/weekend nights.
Bedtime device use on a given night was significantly associated with shorter self-reported sleep duration (b = - 19.80, p = .011), but not with sleep latency. Concordance between the self-reported and Fitbit-measured sleep variables was low, and bedtime device use was not associated and Fitbit-measured sleep variables.
Using electronic devices before bed negatively affected self-reported sleep duration the following night. This finding highlights the importance of minimizing nightly device use among young adults with poor sleep and suggests that the inconsistency between self-reported sleep and device use warrants further investigation.
许多年轻人都有睡眠问题,包括睡眠不足和睡眠质量差。年轻人严重依赖电子设备,甚至在就寝时间使用,这对睡眠有不良影响。鉴于充足睡眠的重要性,本研究在睡眠不佳的不同年轻人群样本中,考察了就寝时间使用电子设备与睡眠之间的日常关联。
我们分析了一项试点随机对照试验的数据,在该试验中,睡眠不佳的年轻人(n = 46;84%为女性;平均年龄19.3岁(标准差 = 2.9);30%为亚洲人,19%为黑人/非裔美国人,9%为多种族;34%为西班牙裔/拉丁裔)佩戴电子睡眠追踪设备(Fitbit Charge 3),并在行为睡眠干预后的4周内,每天完成睡眠日记,其中包括有关睡眠和就寝常规的问题。通过广义线性混合模型(GLMM)估计就寝时间使用设备对入睡潜伏期(入睡所需时间)和睡眠时间的影响,并对工作日夜晚/周末夜晚进行了调整。
在特定夜晚就寝时间使用设备与自我报告的睡眠时间缩短显著相关(b = -19.80,p = 0.011),但与入睡潜伏期无关。自我报告的睡眠变量与Fitbit测量的睡眠变量之间的一致性较低,就寝时间使用设备与Fitbit测量的睡眠变量无关。
睡前使用电子设备会对次日夜晚自我报告的睡眠时间产生负面影响。这一发现凸显了在睡眠不佳的年轻人中尽量减少夜间设备使用的重要性,并表明自我报告的睡眠与设备使用之间的不一致值得进一步研究。