Gilmour Heather, Stranges Saverio, Kaplan Mark, Feeny David, McFarland Bentson, Huguet Nathalie, Bernier Julie
Health Analysis Division, Statistics Canada, Ottawa, Ontario, K1A 0T6.
Health Rep. 2013 Nov;24(11):14-20.
Sleep duration has been associated with overall health status, health behaviours, and mortality. Little is known about habitual longitudinal patterns of sleep in the general population. Furthermore, evidence about whether sleep duration has declined in recent years is contradictory.
The study was based on 8,673 adults aged 18 or older in 2002/2003 (cycle 5 of the National Population Health Survey) and used five self-reported biennial measurements of sleep duration spanning eight years. Multiple distinct trajectories of sleep duration were estimated using latent class growth modeling.
Four modelled trajectories of sleep duration were identified: short (11.1% of the population); low-normal (49.4%); high-normal (37.0%); and long (2.4%). The short, low-normal and high-normal sleep trajectories each exhibited a slight linear decline in hours of sleep over the eight years of follow-up. Poor sleep quality was predictive of trajectory group membership and associated with a decrease in sleep duration for three of the four groups. Age and sex were also significant predictors of trajectory group membership.
Trajectory analysis is a useful descriptive tool in the investigation of sleep duration over time.
睡眠时间与总体健康状况、健康行为及死亡率相关。对于普通人群习惯性的纵向睡眠模式，人们了解甚少。此外，关于近年来睡眠时间是否减少的证据相互矛盾。
该研究基于2002/2003年（全国人口健康调查第5轮）的8673名18岁及以上成年人，并采用了自我报告的五次两年期睡眠时间测量数据，涵盖八年时间。使用潜在类别增长模型估计了睡眠时间的多个不同轨迹。
确定了四种模拟的睡眠时间轨迹：短睡眠轨迹（占人群的11.1%）；低正常睡眠轨迹（49.4%）；高正常睡眠轨迹（37.0%）；以及长睡眠轨迹（2.4%）。在八年的随访期间，短睡眠、低正常睡眠和高正常睡眠轨迹的睡眠时间均呈现出轻微的线性下降。睡眠质量差可预测轨迹组成员身份，并且与四组中的三组睡眠时间减少有关。年龄和性别也是轨迹组成员身份的重要预测因素。
轨迹分析是研究睡眠时间随时间变化的一种有用的描述工具。
