Shao Heng, Chen Hui, Xu Kewang, Gan Quan, Chen Meiling, Zhao Yanyu, Yu Shun, Li Yutong Kelly, Chen Lihua, Cai Bibo
Department of Geriatrics, The First People's Hospital of Yunnan Province, Kunming, China.
The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
JMIR Public Health Surveill. 2024 Dec 13;10:e53522. doi: 10.2196/53522.
COVID-19 has not only resulted in acute health issues but also led to persistent symptoms known as long COVID, which have been linked to disruptions in sleep quality.
This study aims to investigate the associations between COVID-19, long COVID, and sleep disturbances, focusing on demographic, socioeconomic, and psychological factors among a Chinese population.
This cross-sectional study included 1062 participants from China. Demographic, socioeconomic, and clinical data were collected through web-based questionnaires. Participants were divided into 2 groups based on COVID-19 infection status: infected and noninfected. Within the infected group, participants were further categorized into those with long COVID and those without long COVID. Noninfected participants were included in the non-long COVID group for comparison. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), while depression and anxiety were evaluated using the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder-7 (GAD-7) scales, respectively. Multivariable linear regression was conducted to examine the associations between COVID-19, long COVID, and sleep quality, adjusting for demographic and psychosocial factors.
COVID-19 infection was confirmed in 857 participants, with 273 of them developing long COVID. No significant sex disparities were observed in infection rates (P=.63). However, a marginal statistical difference was noted in the prevalence of long COVID among females (P=.051). Age was significantly associated with both infection rates (P<.001) and long COVID (P=.001). Participants aged 60-70 years were particularly vulnerable to both outcomes. Sleep latency was significantly longer in the infected group (mean 1.73, SD 0.83) compared to the uninfected group (mean 1.57, SD 0.78; P=.01), and PSQI scores were higher (mean 8.52, SD 4.10 vs. 7.76, SD 4.31; P=.02). Long COVID participants had significantly worse sleep outcomes across all metrics (P<.001), except for sleep medication use (P=.17).
Our findings indicate that long COVID is strongly associated with significant sleep disturbances, while initial COVID-19 infection shows a more moderate association with sleep issues. Long COVID-related sleep disturbances were exacerbated by factors such as age, income, and chronic health conditions. The study highlights the need for targeted interventions that address the multifaceted impacts of long COVID on sleep, especially among vulnerable groups such as older adults and those with lower socioeconomic status. Future research should use longitudinal designs to better establish the temporal relationships and causal pathways between COVID-19 and sleep disturbances.
新型冠状病毒肺炎(COVID-19)不仅导致了急性健康问题,还引发了被称为“长新冠”的持续性症状,这些症状与睡眠质量的破坏有关。
本研究旨在调查COVID-19、长新冠和睡眠障碍之间的关联,重点关注中国人群中的人口统计学、社会经济和心理因素。
这项横断面研究纳入了来自中国的1062名参与者。通过基于网络的问卷收集人口统计学、社会经济和临床数据。参与者根据COVID-19感染状况分为两组:感染组和未感染组。在感染组中,参与者进一步分为长新冠患者和非长新冠患者。未感染的参与者被纳入非长新冠组进行比较。使用匹兹堡睡眠质量指数(PSQI)评估睡眠质量,同时分别使用患者健康问卷-9(PHQ-9)和广泛性焦虑障碍-7(GAD-7)量表评估抑郁和焦虑。进行多变量线性回归以检查COVID-19、长新冠和睡眠质量之间的关联,并对人口统计学和心理社会因素进行调整。
857名参与者确诊感染了COVID-19,其中273人出现了长新冠。感染率在性别上没有显著差异(P=0.63)。然而,女性长新冠的患病率存在边际统计学差异(P=0.051)。年龄与感染率(P<0.001)和长新冠(P=0.001)均显著相关。60至70岁的参与者对这两种结果尤为易感。与未感染组相比,感染组的入睡潜伏期显著更长(平均1.73,标准差0.83)(平均1.57,标准差0.78;P=0.01),PSQI评分更高(平均8.52,标准差4.10对7.76,标准差4.31;P=0.02)。除了使用助眠药物方面(P=0.17),长新冠患者在所有指标上的睡眠结果都显著更差(P<0.001)。
我们的研究结果表明,长新冠与严重的睡眠障碍密切相关,而最初的COVID-19感染与睡眠问题的关联更为温和。与长新冠相关的睡眠障碍因年龄、收入和慢性健康状况等因素而加剧。该研究强调了有针对性干预措施的必要性,这些措施应解决长新冠对睡眠的多方面影响,尤其是在老年人和社会经济地位较低的弱势群体中。未来的研究应采用纵向设计,以更好地确定COVID-19与睡眠障碍之间的时间关系和因果途径。