Psychological capital of petrochemical corporate employees during COVID-19 social isolation: a longitudinal analysis.

The COVID-19 pandemic is a major public health emergency and a significant stressor to most people. The objective of this study was to examine the mental health status and social support level of participants from 2019 to 2020. The study aimed to investigate the changes in people's psychological capital state due to the COVID-19 pandemic. A longitudinal study was performed to study the psychosocial predictors of mental health among a sample of 2,999 Chinese employees in 2019, and the follow-up survey was conducted one year later. Regression coefficients were visualized in a heatmap. Path analysis was performed base on the structural equation model (SEM) to measure the associations between study variables. The status of mental health, resilience, and optimism changed significantly during the pandemic (P < 0.05). The level of employee's social support in 2019 could significantly and positively predicted the level of employee's psychological capital in 2020, and the level of employee mental health in 2019 significantly and negatively predicted the level of employee psychological capital in 2020. The mental health of employees played an intermediary role between social support and psychological capital. These results highlight that the COVID-19 pandemic has a strong impact on the psychological capital of company employees. While demanding performance, corporations should ensure timely intervention in the mental health of their employees.

The path of depression among frontline nurses during COVID-19 pandemic: A fuzzy-set qualitative comparative analysis.

This study aimed to explore the combination of different conditional variables that led to depressive symptoms among frontline nurses who were fought against COVID-19 during the outbreak in Wuhan City, Hubei Province of China. The study was conducted in August 2020, which included 331 frontline clinical nurses who supported Wuhan's fight against COVID-19. The age range was 21-57 years and included 315 female nurses and 16 male nurses. This study used the fuzzy-set qualitative comparative analysis research method to explore the path of depression among frontline nurses. This study generated nine different configurations for the path of depression among frontline nurses, and had a detailed demonstration for each configuration. Each configuration distinguishes the different effects of influencing factors. For example, in the first configuration, gender, sleep disorder and PTSD exist as core conditions, while social support exists as a core condition lack. This study was presented results which was different what linear regression model reports. It takes into consideration the combined effect of each conditional variable on the development of depression. Nurse managers should pay attention to the combination of multiple influencing factors, instead of focus on single factors.

Relationships Between Depressive Symptoms, Interpersonal Sensitivity and Social Support of Employees Before and During the COVID-19 Epidemic: A Cross-lag Study.

This study examined the correlation between depressive symptoms, interpersonal sensitivity, and social support before and during the COVID-19 pandemic and verified causal relationships among them. The study used Social Support Scale and Symptom Self-Rating Scale to investigate relevant variables. A total of 1,414 employees from company were recruited for this longitudinal study, which a follow up study was conducted on the same group of participants 1 year later. Paired sample t-test results showed that significant differences were only found in social support, not in depressive symptoms or interpersonal sensitivity. The results of correlation analysis showed that social support, depressive symptoms, and interpersonal sensitivity were significantly correlated between wave 1 and wave 2. The cross-lag autoregressive pathway showed that employees' social support level, depressive symptoms, and interpersonal sensitivity all showed moderate stability. Crossing paths showed that wave 1 social support could significantly predict wave 2 depressive symptoms (ß = -0.21, p < 0.001) and wave 2 interpersonal sensitivity (ß = -0.21, p < 0.001). Wave 1 depressive symptoms (ß = -0.10, p < 0.01) could significantly predict wave 2 social support, while wave 1 interpersonal sensitivity (ß = 0.07, p = 0.10) could not predict wave 2 social support. Social support can be considered as a protective factor against mental health problems.

Psychological distress and internet addiction following the COVID-19 outbreak: Fear of missing out and boredom proneness as mediators.

COVID-19 has caused major changes in people's mental health and behavior. This study aimed to investigate whether boredom proneness and fear of missing out acted as mediators between psychological distress and Internet addiction (IA). A cross-sectional survey was conducted in 2020, including 552 youths aged 17-28 years. The recruited participants were asked to complete a series of self-reported questionnaires regarding psychological distress, fear of missing out, boredom proneness and IA. The results indicate that during the COVID-19 pandemic, the reporting rate of IA in young adults was 28.1%, and fear of missing out and boredom proneness played multiple mediation roles in the relationship between psychological distress and IA. Governments and education departments should focus on young people with psychological deficits to prevent them from succumbing to IA.

Association Between Perceived Stress and Post-Traumatic Stress Disorder Among Medical Staff During the COVID-19 Epidemic in Wuhan City.

Objective: The study aimed to examine the relationship between perceived stress and post-traumatic stress disorder (PTSD) among frontline medical staff during the lockdown in Wuhan city, China, due to the COVID-19 outbreak. Methods: The study was conducted in August 2020, which included 516 medical staff between 21 to 65 years. The PTSD Checklist-Civilian, Perceived Stress Scale, Insomnia Severity Index, and Compassion Fatigue Short Scale were used. Results: The results indicated that 10.5% of the medical staff experienced PTSD symptoms, and insomnia severity mediated the effect of perceived stress on PTSD. In addition, compassion fatigue moderated the association between perceived stress and PTSD. Conclusion: The study elucidated the mechanisms underlying the association between perceived stress and PTSD. Moreover, it emphasized the importance of long-term monitoring of the mental health status of frontline medical staff who supported Wuhan. The results can serve as reference for relevant medical and health departments to formulate active interventions and preventive measures against PTSD for unsung heroes who put their lives on the line during difficult times.