Sleep Quality Worsens While Perceived Stress Improves in Healthcare Workers over Two Years during the COVID-19 Pandemic: Results of a Longitudinal Study.

The purpose of the study was to measure changes in sleep quality and perceived stress and their interrelationships in a sample of healthcare workers two years post the COVID-19 pandemic. Using a cohort design, data were collected from frontline healthcare workers (FLHCW, n = 70) and non-frontline healthcare workers (NFLHCW, n = 74) in April 2020 (T1) and in February 2022 (T2). The Pittsburgh Sleep Quality Index (PSQI) and the Perceived Stress Scale (PSS-10) were administered at both time points. There were no differences in sleep quality or perceived stress between FLHCW and NFLHCW at either timepoint. For the entire sample, the PSQI scores at T2 were significantly higher than at T1 (7.56 ± 3.26 and 7.25 ± 3.29, respectively) (p = 0.03, Cohen's d = 0.18). PSS-10 scores at T2 were significantly lower than at T1 (19.85 ± 7.73 and 21.13 ± 7.41, respectively) (p = 0.001, Cohen's d = 0.78). Baseline sleep quality PSQI (T1) was a significant predictor for changes in sleep quality. During the initial months of the outbreak of the COVID-19 pandemic, poor sleep quality and perceived stress were common for healthcare workers. Two years into the pandemic, the perceived stress was reduced, but sleep quality worsened.

Sleep dissatisfaction is a potential marker for nomophobia in adults.

INTRODUCTION: NOMOPHOBIA is a term used to describe an anxiety disorder in which people fear being disconnected from their mobile phones. Strong associations between nomophobia and insomnia have previously been documented. However, there is no clear explanation for this relationship between the two disorders. The present study was designed to first determine the diagnostic precision of the Insomnia Severity Index (ISI) various components in detecting or classifying nomophobia; and second, examine the diagnostic performance of the identified ISI components in classifying nomophobia. METHODS: From a previous study 549 participants completed demographic information, the Nomophobia Questionnaire (NMP-Q), and the ISI. The sample was divided into two parts so that each part represented the original sample, using a 40% (n = 209) allocation for sample 1 and 60% (n = 340) for sample 2. To determine common components between nomophobia and insomnia, an exploratory factor analysis was performed using sample 1 to determine the diagnostic precision of the ISI's various components in detecting or classifying nomophobia. A test of the ISI and a cut-off value (ISI-4 ≥2) was then conducted on Sample 2 to determine whether they would accurately identify significant nomophobia. RESULTS: Sleep dissatisfaction was a common component of insomnia and nomophobia. Sleep dissatisfaction had excellent diagnostic accuracy in detecting individuals with nomophobia (sensitivity 75.13%, specificity 100%, Youden' index 0.75, area under curve 0.88). CONCLUSION: Questioning patients sleep dissatisfaction may serve as a marker for both nomophobia and insomnia, both of which may demand more comprehensive evaluation.

Sleep disturbances during the COVID-19 pandemic: A systematic review, meta-analysis, and meta-regression.

This systematic review and meta-analysis evaluated the extent of sleep disturbances during the COVID-19 pandemic. Eleven databases and six preprint repositories were searched for the period from November 1, 2019, to July 15, 2021. The DerSimonian and Laird method was used to develop random-effect meta-analyses. Two hundred and fifty studies comprising 493,475 participants from 49 countries were included. During COVID-19, the estimated global prevalence of sleep disturbances was 40.49% [37.56; 43.48%]. Bayesian meta-analysis revealed an odds of 0.68 [0.59; 0.77] which translates to a rate of approximately 41%. This provides reassurance that the estimated rate using classical meta-analysis is robust. Six major populations were identified; the estimated prevalence of sleep problem was 52.39% [41.69; 62.88%] among patients infected with COVID-19, 45.96% [36.90; 55.30%] among children and adolescents, 42.47% [37.95; 47.12%] among healthcare workers, 41.50% [32.98; 50.56%] among special populations with healthcare needs, 41.16% [28.76; 54.79%] among university students, and 36.73% [32.32; 41.38%] among the general population. Sleep disturbances were higher during lockdown compared to no lockdown, 42.49% versus 37.97%. Four in every ten individuals reported a sleep problem during the COVID-19 pandemic. Patients infected with the disease, children, and adolescents appeared to be the most affected groups.