Flinders University, Adelaide, Australia.
Center for Health and Medical Psychology, Örebro University, Fakultetsgatan 1, 701 82, Örebro, Sweden.
Sci Rep. 2024 May 10;14(1):10764. doi: 10.1038/s41598-024-60974-y.
The COVID-19 pandemic has seen a rise in anxiety and depression among adolescents. This study aimed to investigate the longitudinal associations between sleep and mental health among a large sample of Australian adolescents and examine whether healthy sleep patterns were protective of mental health in the context of the COVID-19 pandemic. We used three waves of longitudinal control group data from the Health4Life cluster-randomized trial (N = 2781, baseline M = 12.6, SD = 0.51; 47% boys and 1.4% 'prefer not to say'). Latent class growth analyses across the 2 years period identified four trajectories of depressive symptoms: low-stable (64.3%), average-increasing (19.2%), high-decreasing (7.1%), moderate-increasing (9.4%), and three anxiety symptom trajectories: low-stable (74.8%), average-increasing (11.6%), high-decreasing (13.6%). We compared the trajectories on sociodemographic and sleep characteristics. Adolescents in low-risk trajectories were more likely to be boys and to report shorter sleep latency and wake after sleep onset, longer sleep duration, less sleepiness, and earlier chronotype. Where mental health improved or worsened, sleep patterns changed in the same direction. The subgroups analyses uncovered two important findings: (1) the majority of adolescents in the sample maintained good mental health and sleep habits (low-stable trajectories), (2) adolescents with worsening mental health also reported worsening sleep patterns and vice versa in the improving mental health trajectories. These distinct patterns of sleep and mental health would not be seen using mean-centred statistical approaches.
新冠疫情大流行期间,青少年的焦虑和抑郁情绪有所上升。本研究旨在调查澳大利亚青少年中大量样本的睡眠与心理健康之间的纵向关联,并探讨在新冠疫情背景下,健康的睡眠模式是否对心理健康具有保护作用。我们使用了健康生活(Health4Life)群组随机试验的三个时间点的纵向对照组数据(N=2781,基线 M=12.6,SD=0.51;47%为男生,1.4%为“不愿回答”)。2 年期间的潜在类别增长分析确定了抑郁症状的四个轨迹:低稳定型(64.3%)、平均增长型(19.2%)、高下降型(7.1%)、中度增长型(9.4%)和三个焦虑症状轨迹:低稳定型(74.8%)、平均增长型(11.6%)、高下降型(13.6%)。我们比较了轨迹的社会人口学和睡眠特征。低风险轨迹中的青少年更有可能是男生,并且报告睡眠潜伏期和睡眠后醒来时间较短、睡眠时间较长、嗜睡程度较低和较早的生物钟类型。心理健康改善或恶化的地方,睡眠模式也朝着相同的方向变化。亚组分析揭示了两个重要发现:(1)样本中的大多数青少年保持良好的心理健康和睡眠习惯(低稳定轨迹);(2)心理健康恶化的青少年也报告睡眠模式恶化,反之亦然,在改善心理健康的轨迹中。这些不同的睡眠和心理健康模式,如果使用均值中心化的统计方法,是不会被发现的。