An Exploration of Self-Reported Sleep Inertia Symptoms Using Network Analysis.

Purpose: Sleep inertia (SI) is the transitional state accompanied by compromised cognitive and physical performance and sleepiness. Network analysis offers a potential new framework to conceptualize a complex network of symptom-symptom interactions, and the network structure is analyzed to reveal the core characteristics. However, no previous study examined the network structure of SI symptoms. Thus, this study aimed to elucidate characteristics and compare sex differences of SI symptom networks in the general population. Materials and Methods: A total of 1491 participants from China were recruited from 30 May to 17 June, 2021. SI symptoms were assessed by using the Sleep Inertia Questionnaire (SIQ). The network structures were estimated and compared using network analytic methods in the R version 4.1.1. Results: Centrality properties analysis of the expected influence suggested that symptoms of "Feel sleepy", "Groggy, fuzzy or hazy mind", and "Dread starting your day" exerted greatest influences. The weighted adjacency matrix revealed that the "Dread starting your day" and "Anxious about the upcoming day" edge showed the strongest connection (edge weight value = 0.70). The network comparison test found no significant difference in network global strength (p=0.928), distribution of edge weights (p=0.194) and individual edge weights (all p values >0.05 after Holm-Bonferroni corrections) between males and females. Conclusion: Symptoms of "Feel sleepy", "Groggy, fuzzy or hazy mind", and "Dread starting your day" were central in the SI symptom network. Intervention, such as the artificial dawn and change in body temperature, for symptoms of "Feel sleepy", "Groggy, fuzzy or hazy mind", and "Dread starting your day" might be crucial to hasten the dissipation of SI in the general population who may need to perform tasks upon waking.

Sleep disturbance predicts suicidal ideation during COVID-19 pandemic: A two-wave longitudinal survey.

BACKGROUND: This study aimed to examine the cross-sectional and longitudinal associations between sleep disturbance and suicidal ideation (SI) in a large cohort of adolescents experiencing the Coronavirus disease 2019 (COVID-19) crisis in China. METHODS: One two-wave longitudinal web-based survey of sleep, SI, and depression was conducted among 67,905 college students (mean age = 20.23 years, SD = 1.63 years; 31.3% male) during the COVID-19 outbreak (Time1, T1: Feb 3rd to 10th, 2020) and initial remission period (Time2, T2: March 24th to April 3rd, 2020). RESULTS: At T1 and T2, 8.5% and 9.7% of students reported sleep disturbance, 7.6% and 10.0% reported SI, respectively. The prevalence rates of SI at T1 and T2 increased significantly with sleep disturbance and short sleep duration. After adjusting for demographics, pandemic related factors, and depression at T1, sleep disturbance and short sleep duration at T1 were significantly associated with increased risk for SI at T2. Furthermore, sleep disturbance and short sleep duration predicted the new onset and persistence of SI. CONCLUSION: These findings suggested that sleep disturbance predicts the development and persistence of SI. Early assessment and treatment of sleep disturbance may be an important strategy for prevention and intervention of SI in individuals after exposure to the special public health emergency of COVID-19.

Is returning to school during the COVID-19 pandemic stressful? A study on immediate mental health status of Chinese college students.

BACKGROUND: As the COVID-19 pandemic has posed substantial impacts on individual's daily routine and psychological state. For the first time at great scale, Chinese college students had their educational activities moved online in spring 2020. Due to this unexpected isolation and unconventional learning method, their mental health following returning to school is worth investigating. METHODS: Between June 1 and June 15, 2020, a total of 8,921 returning college students' mental health status were assessed using instruments designed for psychiatric disorders, namely the 9-Item Patient Heath Questionnaire (PHQ-9), 7-Item Generalized Anxiety Disorder Scale (GAD-7), 6-Item Impact of Event Scale (IES-6), Youth Self Rating Insomnia Scale (YSIS), and self-developed questionnaire. RESULTS: Our results showed that 8.7%, 4.2%, 10.5%, and 6.1% of the participants experienced depression, anxiety, acute stress, and insomnia, respectively, with a total of 19.8% reporting having at least one psychiatric symptom following their return to school. Sophomore and Senior year, and presence of previous psychiatric conditions contribute to the increased occurrence of psychiatric issues. The level of impact by COVID-19 on one's daily functioning is also positively associated with poor mental health. CONCLUSIONS: Our findings suggested no significant increase in the prevalence of psychiatric symptoms, following the first batch of students' return to school. These findings aim to complement the current understanding of the psychiatric impact of COVID-19 on students and assist school principals to plan their return-to-school approaches in a mental-health sensitive way.