Heron Paul N, Henderson Lisa M, Crosland Suzanne, Gilbody Simon M, Johnston Gordon A, Moriarty Andrew S, Newbronner Elizabeth, Paterson Alastair, Spanakis Panagiotis, Wadman Ruth, Walker Lauren, Peckham Emily
Mental Health and Addictions Research Group, Department of Health Science, University of York, York, United Kingdom.
Department of Psychology, University of York, York, United Kingdom.
Front Psychiatry. 2022 Oct 10;13:975593. doi: 10.3389/fpsyt.2022.975593. eCollection 2022.
Sleep problems are a transdiagnostic feature of nearly all psychiatric conditions, and a strong risk factor for initial and recurrent episodes. However, people with severe mental ill health (SMI) are often excluded from general population surveys, and as such the extent and associates of poor sleep in this population are less well understood. This study explores sleep health in an SMI sample during the COVID-19 pandemic, using multiple regression to identify risk factors, including daily routine, wellbeing and demographics.
An existing cohort of people with an SMI diagnosis were sampled. Participants were invited to complete a self-report survey about their health and the impacts of COVID-19 and associated public health measures. Sleep duration, efficiency, and quality were measured using items from the Pittsburgh Sleep Quality Index (PSQI).
Two hundred forty-nine adults (aged 21-84 years) completed the survey. Mean sleep duration and efficiency were similar to general population estimates, at 7 h 19 min and 78%, respectively. However, 43% reported "bad" sleep quality that was associated with being younger in age as well as disturbed routine and declined wellbeing. Indeed, 37% reported a disturbed routine during the pandemic.
High estimates of perceived poor sleep quality in the SMI population align with previous findings. Supporting people with SMI to maintain routine regularity may work to protect sleep quality and wellbeing. Future research should more closely examine sleep health in people with SMI, using accessible and scalable measures of objective and subjective sleep, examining longitudinal trends.
睡眠问题是几乎所有精神疾病的一种跨诊断特征，也是初次发作和复发的一个强有力的风险因素。然而，严重精神疾病患者通常被排除在一般人群调查之外，因此对该人群睡眠不佳的程度及其相关因素了解较少。本研究探讨了在新冠疫情期间严重精神疾病样本中的睡眠健康状况，采用多元回归分析来确定风险因素，包括日常作息、幸福感和人口统计学因素。
对一组已确诊患有严重精神疾病的人群进行抽样。邀请参与者完成一份关于他们的健康状况以及新冠疫情和相关公共卫生措施影响的自我报告调查。使用匹兹堡睡眠质量指数（PSQI）中的项目来测量睡眠时间、睡眠效率和睡眠质量。
249名成年人（年龄在21 - 84岁之间）完成了调查。平均睡眠时间和睡眠效率与一般人群的估计值相似，分别为7小时19分钟和78%。然而，43%的人报告睡眠质量“差”，这与年龄较小、日常作息紊乱和幸福感下降有关。事实上，37%的人报告在疫情期间日常作息受到干扰。
严重精神疾病人群中睡眠质量差的高估计值与先前的研究结果一致。支持严重精神疾病患者保持日常作息规律可能有助于保护睡眠质量和幸福感。未来的研究应该使用可获取且可扩展的客观和主观睡眠测量方法，更密切地研究严重精神疾病患者的睡眠健康状况，并研究纵向趋势。
