Bartel Kate, Williamson Paul, van Maanen Annette, Cassoff Jamie, Meijer Anne Marie, Oort Frans, Knäuper Bärbel, Gruber Reut, Gradisar Michael
School of Psychology, Flinders University, Adelaide, South Australia, Australia.
University of Amsterdam, Amsterdam, Netherlands.
Sleep Med. 2016 Oct;26:97-103. doi: 10.1016/j.sleep.2016.07.007. Epub 2016 Aug 23.
Sleep is vital for adolescent functioning. Those with optimal sleep duration have shown improved capacity to learn and decreased rate of motor vehicle accidents. This study explored the influence of numerous protective and risk factors on adolescents' school night sleep (bedtime, sleep latency, total sleep time) simultaneously to assess the importance of each one and compare within three countries.
Online survey data were collected from Australia, Canada, and The Netherlands. Overall, 325 (137 male), 193 (28 male), and 150 (55 male) contributed to data from Australia, Canada, and The Netherlands, respectively (age range 12-19 years).
Regression analyses showed mixed results, when comparing protective and risk factors for sleep parameters within different countries, with combined behavioural factors contributing to small to large shared portions of variance in each regression (9-50%). One consistent finding between countries was found, with increased pre-sleep cognitive emotional sleep hygiene related to decreased sleep latency (beta = -0.25 to -0.33, p < 0.05). Technology use (mobile phone/Internet stop time) was associated with later bedtime, or less total sleep, with the strength of association varying between device and country.
Results indicate that when designing interventions for adolescent sleep, multiple lifestyle factors need to be considered, whereas country of residence may play a lesser role.
睡眠对青少年的机能至关重要。那些睡眠时间适宜的青少年在学习能力方面有所提高,机动车事故发生率也有所降低。本研究同时探讨了多种保护因素和风险因素对青少年上学日睡眠(就寝时间、入睡潜伏期、总睡眠时间)的影响,以评估每个因素的重要性,并在三个国家之间进行比较。
收集了来自澳大利亚、加拿大和荷兰的在线调查数据。总体而言,分别有325名(137名男性)、193名(28名男性)和150名(55名男性)参与了来自澳大利亚、加拿大和荷兰的数据收集(年龄范围12 - 19岁)。
回归分析显示,在比较不同国家睡眠参数的保护因素和风险因素时,结果不一,综合行为因素在每个回归中对方差的共享比例贡献从小到大都有(9 - 50%)。各国之间发现了一个一致的结果,即睡前认知情绪睡眠卫生状况的改善与入睡潜伏期的缩短有关(β = -0.25至-0.33,p < 0.05)。技术使用(手机/互联网停用时间)与较晚的就寝时间或较少的总睡眠时间有关,关联强度因设备和国家而异。
结果表明,在设计青少年睡眠干预措施时,需要考虑多种生活方式因素,而居住国家可能起的作用较小。