Suicidal ideation in the general population in China after the COVID-19 pandemic was initially controlled.

BACKGROUND: The COVID-19 pandemic increases the risk of psychological problems including suicidal ideation (SI) in the general population. In this study, we investigated the risk factors of SI after the COVID-19 pandemic was initially controlled in China. METHODS: We conducted an online questionnaire via JD Health APP in China in June 2020. Demographic data, feelings and experiences related to the COVID-19 pandemic and psychological problems were collected. The participants (n = 14,690) were divided into the non-SI and SI groups. A binary logistic regression analysis was used to examine the correlates of SI. RESULTS: Nine percent of the participants (1328/14690) reported SI. The regression analysis showed that SI was positively associated with ethnic minority (OR = 1.42 [1.08-1.85]), age (e.g. 18-30 years: OR = 2.31 [1.67-3.20]), having history of mental disorders (OR = 2.75 [2.27-3.35]), daily life disturbance due to health problems (OR = 1.67 [1.38-2.01]), being around someone with the COVID-19 (OR = 1.58 [1.30-1.91]), being uncertain about effective disease control (OR = 1.23 [1.03-1.46]), and having depressive symptoms (OR = 4.40 [3.59-5.39]), insomnia symptoms (OR = 2.49 [2.13-2.90]) or psychological distress (OR = 1.87 [1.59-2.18]). LIMITATIONS: The main limitation is that the cross-sectional design of this study could not allow us to further explore the causality of SI. CONCLUSIONS: The prevalence of SI was relatively high in general population after the COVID-19 pandemic was initially controlled in China. SI should be monitored continually after the COVID-19 pandemic.

Chronotypes, Sleep and Mental Distress Among Chinese College Students: A Cross-Sectional Study.

Objective: This study aimed to investigate the chronotypes and their relationship with sleep disturbances and mental distress among college students. Methods: Students from a university in Guangzhou, China, were recruited through a cross-sectional online survey. Data were collected by self-reported questionnaires including socio-demographics, lifestyles and health conditions, sleep patterns on weekdays and weekends, as well as the reduced Morningness-Eveningness Questionnaire (rMEQ), the Insomnia Severity Index, the Epworth Sleepiness Scale, the Beck Depression Inventory-13, and the Zung Self-Rating Anxiety Scale. Multivariate analyses were performed to examine the associations of chronotypes with sleep compensation, sleep disturbances, and mental distress. Results: A total of 1,607 questionnaires were received, among which 1,569 (97.6%) were valid for further analysis. Among these participants [mean age 19.86 ± 1.16 (15-27) years], morning types (M-types), intermediate types (I-types), and evening types (E-types) accounted for 14.9, 71.5, and 13.6%, respectively. The regression analysis revealed that E-types were positively associated with long sleep compensation on weekends (adjusted OR 2.443, 95%CI 1.740-3.429) compared with I-types, while M-types were the opposite (adjusted OR 0.623, 95%CI 0.392-0.990). E-types were also positively correlated with insomnia symptoms (adjusted OR 2.000, 95%CI 1.428-2.801), depressive symptoms (adjusted OR 2.068, 95%CI 1.496-2.858), and anxiety symptoms (adjusted OR 2.188, 95%CI 1.387-3.451). However, no significant association was found between chronotypes and excessive daytime sleepiness. Conclusion: Our study found that E-types were associated with long sleep compensation on weekends and insomnia, depression, and anxiety symptoms. Our findings emphasized the importance of early recognition and intervention of E-types and their accompanied sleep problems and mental distress.