Gender differences and left-behind experiences in the relationship between gaming disorder, rumination and sleep quality among a sample of Chinese university students during the late stage of the COVID-19 pandemic.

Background and aims: Studies have shown that gaming disorder (GD) is associated with rumination and poor sleep quality. However, the reciprocal relationship between GD, rumination and sleep quality is unclear. Moreover, the differences between gender and between left-behind experiences in the aforementioned relationship remain unknown. Therefore, the present study examined gender differences and left-behind experiences in the relationship between GD, rumination, and sleep quality among a sample of Chinese university students during the late stage of COVID-19 pandemic using a network analysis approach. Methods: A cross-sectional online survey of 1,872 Chinese university students was conducted comprising demographic information (age, gender, and left-behind experience), gaming experience, gaming frequency, Gaming Disorder Test (GDT), Short Version of Rumination Response Scale (RRS), and Pittsburgh Sleep Quality Index (PSQI). Results: Among Chinese university students, the prevalence of (i) GD was 3.5% and (ii) sleep disturbance was 14%. GD had positive and weak connection with rumination and sleep quality in the domain-level relational network. The network structures and global strengths both showed no significant differences between gender and between left-behind experiences. The nodes gd3 ("continuation or escalation of gaming") and gd4 ("gaming problems") had the strongest edge in the network. Conclusion: The results suggest reciprocal relationships between GD, rumination, and sleep quality. Gender and left-behind experiences did not influence the reciprocal relationship between GD, rumination, and sleep quality during the late stage of COVID-19 pandemic. Using network analysis, the findings provide novel insights that rumination and sleep quality may have interacted with GD among Chinese students during the late stage of COVID-19 pandemic. Reducing or eliminating negative rumination may decrease GD and improve sleep quality. Moreover, good sleep quality contributes to positive rumination which may decrease the risk of GD among Chinese university students.

Latent Profile Analysis of Perceptions and Attitudes Towards COVID-19 in a Sample of Chinese People.

Background: The novel coronavirus-2019 (COVID-19) disease has spread quickly throughout China and around the world, endangering human health and life. Individuals' perceptions and attitudes as well as related health education measures may affect disease progression and prognosis during the COVID-19 outbreak. To promote and implement health education, research must focus on the perceptions and attitudes towards COVID-19 among Chinese people. The present study aimed to examine the profiles and predictive factors of the perceptions and attitudes towards COVID-19 in a sample of Chinese people. Methods: A sample of 2,663 Chinese people comprising medical staff and members of the general public completed an online survey on Wenjuanxing. The survey measured demographic variables (e.g., gender, age, education level, and place of residence) and perceptions and attitudes towards COVID-19. Results: Two profiles of perceptions and attitudes towards COVID-19 (positive and negative perceptions and attitudes) were identified in the sample. Place of residence during the COVID-19 pandemic and first response to COVID-19 were found to be independent predictive factors for COVID-19 related perceptions and attitudes. Conclusion: In addition to drug therapy and mental health services, the perceptions and attitudes of Chinese people towards COVID-19 should be considered when promoting health education during the COVID-19 pandemic.

Latent profile analysis of mental health among Chinese healthcare staff during the COVID-19 pandemic.

The mental health of individuals has become increasingly important during the novel coronavirus-2019 (COVID-19) pandemic. Given the number of healthcare staff that are helping to treat the victims of COVID-19 all over the world, there is a lack of research concerning the mental health of healthcare staff, and of the prior studies carried out, the research has been relatively descriptive and has not used more sophisticated types of analyses (e.g. latent profile analysis [LPA]). The aim of the present study was to investigate profiles of mental health among Chinese healthcare staff during the COVID-19 pandemic. The sample comprised of 456 healthcare staff, and participants completed an online survey including individual information and their working status during the COVID-19 pandemic. The survey included the Chinese Mental Health Scale (MHS-C), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS). Utilizing the LPA, two profiles of mental health (good mental health and poor mental health) were identified for Chinese healthcare staff during the COVID-19 pandemic. Compared to those with a good mental health profile, those with poor mental health profile had significantly higher scores on SAS and SDS. Female healthcare staff had higher mental health disturbances than males. Taking care and protecting the mental health of healthcare staff is very important in the fight against COVID-19. The need for employers to implement positive and effective measures among mental healthcare staff is likely to help them to cope better with mental health issues and improve mental health, as well as enhance resilience. Healthcare staff with good mental health can dedicate themselves to better nursing practice and nursing education during the COVID-19 epidemic.