Levasseur Anthony, Pelletier-Dumas Mathieu, Lacourse Éric, Lina Jean-Marc, Simonelli Guido, de la Sablonnière Roxane
Department of Medicine, Université de Montréal, Montréal, H3T, Canada.
Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-L'Île-de-Montréal, Hôpital du Sacré-Coeur de Montréal, 5400 Gouin O. Blvd, Montréal, QC, H4J 1C5, Canada.
BMC Public Health. 2025 May 7;25(1):1691. doi: 10.1186/s12889-025-22617-3.
Poor sleep health has wide-ranging consequences for general health. The year 2020 marked the first year of the COVID-19 pandemic throughout the world, an event that introduced dramatic disruptions to daily life. Studies conducted during the first wave of the pandemic reported a decrease in sleep quality but also an increase in sleep duration, which contradicts the simultaneous decrease in sleep duration reported in Canada. However, prior studies were not representative of the Canadian population. To assess pandemic-induced health disruptions, we investigated sleep health trajectories and health correlates during the first wave of COVID-19 in a longitudinal nationally representative sample of Canadians. We aimed (1) to determine the trajectories of sleep duration and sleep quality, (2) to identify health factors associated with unstable sleep trajectories, and (3) to explore associations between sleep trajectory groups.
A nationally representative sample of 2,246 individuals residing in Canada was surveyed 6 times between April and July 2020. Participants reported on their sleep and health-related factors (e.g., sociological and demographic factors). We first used latent class growth analysis to identify sleep trajectories. We then used multinomial logistic regression models to determine the relationships between health-related predictors and trajectory groups. Finally, we used joint trajectory analysis to explore the relationships between sleep duration trajectories and sleep quality trajectories.
We identified four constant sleep quality trajectories (6.7%, 37.1%, 45.5%, and 10.7% of the sample). We identified two sleep duration trajectories, one of stable shortshort and stable sleep (33.9% of the sample), and one of long and decreasing (-2.32 min/2 weeks) sleep (66.1% of the sample). Living with someone predicted longer and decreasing sleep duration. Being 25 or older was associated with a lower likelihood of belonging to the long and decreasing sleep duration trajectory. There was a 98.9% likelihood of belonging to the long and decreasing sleep duration trajectory for those belonging to the higher sleep quality trajectory.
In our study, we found no convincing evidence that sleep health indicators deteriorated during the first wave of COVID-19 in Canada. The overall stability of sleep suggests that sleep is likely governed by factors that remained stable.
睡眠健康状况不佳会对整体健康产生广泛影响。2020年是新冠疫情在全球爆发的第一年,这一事件给日常生活带来了巨大干扰。在疫情第一波期间进行的研究报告称睡眠质量有所下降,但睡眠时间也有所增加,这与加拿大报告的睡眠时间同时减少的情况相矛盾。然而,先前的研究并不具有加拿大人口的代表性。为了评估疫情引发的健康干扰,我们在一个具有全国代表性的加拿大纵向样本中,调查了新冠疫情第一波期间的睡眠健康轨迹及其与健康的相关性。我们的目标是:(1)确定睡眠时间和睡眠质量的轨迹;(2)识别与不稳定睡眠轨迹相关的健康因素;(3)探索睡眠轨迹组之间的关联。
在2020年4月至7月期间,对居住在加拿大的2246名具有全国代表性的个体进行了6次调查。参与者报告了他们的睡眠及与健康相关的因素(如社会学和人口统计学因素)。我们首先使用潜在类别增长分析来识别睡眠轨迹。然后,我们使用多项逻辑回归模型来确定与健康相关的预测因素和轨迹组之间的关系。最后,我们使用联合轨迹分析来探索睡眠时间轨迹和睡眠质量轨迹之间的关系。
我们识别出四条稳定的睡眠质量轨迹(分别占样本的6.7%﹑37.1%﹑45.5%和10.7%)。我们识别出两条睡眠时间轨迹,一条是稳定的短睡眠和稳定睡眠轨迹(占样本的33.9%),另一条是长睡眠且睡眠时间减少(-2.32分钟/2周)的轨迹(占样本的66.1%)。与他人同住预示着睡眠时间更长且呈减少趋势。25岁及以上的人属于睡眠时间长且呈减少趋势轨迹的可能性较低。属于睡眠质量较高轨迹的人有98.9%的可能性属于睡眠时间长且呈减少趋势的轨迹。
在我们的研究中,我们没有发现令人信服的证据表明在加拿大新冠疫情第一波期间睡眠健康指标恶化。睡眠的总体稳定性表明,睡眠可能受保持稳定的因素支配。