Background: Since December 2019, China has been affected by a severe outbreak of coronavirus disease 2019 (COVID-19). Frontline medical workers experienced difficulty due to the high risk of being infected and long and distressing work shifts. The current study aims to evaluate psychological symptoms in frontline medical workers during the COVID-19 epidemic in China and to perform a comparison with the general population. Methods: An online survey was conducted from 14 February 2020 to 29 March 2020. A total of 899 frontline medical workers and 1104 respondents in the general population participated. Depression, anxiety, insomnia, and resilience were assessed via the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), Insomnia Severity Index (ISI), and abbreviated Connor–Davidson Resilience Scale (CD-RISC-10), respectively. Results: Overall, 30.43%, 20.29%, and 14.49% of frontline medical workers in Hubei Province and 23.13%, 13.14%, and 10.64% of frontline medical workers in other regions reported symptoms of depression, anxiety, and insomnia, respectively. In addition, 23.33%, 16.67%, and 6.67% of the general population in Hubei Province and 18.25%, 9.22%, and 7.17% of the general population in other regions reported symptoms of depression, anxiety, and insomnia, respectively. The resilience of frontline medical staff outside Hubei Province was higher than that of the general population outside Hubei Province. Conclusion: A large proportion of frontline medical workers and the general public experienced psychological symptoms during the COVID-19 outbreak. Psychological services for frontline medical workers and the general public are needed.

Personality has been shown to be a valid predictor of behavior in work settings, but few studies have tested the causality of relationships between personality and workaholism. Extending the propositions of Ng, Sorenson, and Feldman (2007), in this article personality traits were treated as multidimensional and causal relationships were proposed between personality traits and workaholism. We also investigated the interactions among antecedents of workaholism using the definition of Ng et al. as the construct of workaholism, and deduced its antecedents from dimensions that underlie workaholism. Our model identified the following antecedents as being potentially linked to workaholism: personality traits, personal inducements, and organizational inducements. Obsessive compulsion, achievement orientation, perfectionism, and conscientiousness are key personality traits leading to workaholism. Intrinsic work values and vicarious learning in the family are two components of personal inducements, while putting work ahead of family commitments, peer competition, and vicarious learning at the workplace constitute three organizational inducements.

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Background Coronavirus disease 2019 (COVID-19) has affected more than 5 million people around the world and killed more than 300,000 people; thus, it has become a global public health emergency. Our objective was to investigate the mental health of hospitalized patients diagnosed with COVID-19. Methods The PTSD checklist for DSM-5 (PCL-5), Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), Trauma Exposure Scale, abbreviated version of the Connor–Davidson Resilience Scale (CD-RISC-10), Perceived Social Support Scale (PSSS) and Demographic Questionnaire were used to examine posttraumatic stress disorder (PTSD), depression, anxiety, trauma exposure, resilience and perceived social support among 898 patients who were hospitalized after being diagnosed with COVID-19 in China. The data were analyzed with t tests, one-way ANOVA and multivariable logistic regression analysis. Results The results showed that the prevalence of PTSD, depression and anxiety was 13.2, 21.0 and 16.4%, respectively. Hospitalized patients who were more impacted by negative news reports, had greater exposure to traumatic experiences, and had lower levels of perceived social support reported higher PTSD, depression and anxiety. Conclusions Effective professional mental health services should be designed to support the psychological wellbeing of hospitalized patients, especially those who have severe disease, are strongly affected by negative news and have high levels of exposure to trauma.

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Purpose -The purpose of this research is to identify that both work values and burnout are important predictors for promoting organizational citizenship behaviors (OCBs). Moreover, this research also seeks to investigate the moderating impact of burnout on the relationships between work values and OCBs. Design/methodology/approach -A total of 310 employee-supervisor dyads of hotel front-line service employees in Taiwan were selected as the research participants. The employees were asked to provide information on the items about work values and burnout, and their supervisors were asked to complete items concerning the OCBs of their subordinates. A confirmatory factor analysis was conducted to investigate measurement reliability and validity. All hypothesized relationships and moderating effects were tested using hierarchical regression equations. Findings -It was found that both work values and burnout are important factors to consider for promoting OCBs. In addition, the study also proves that burnout as a moderator can decrease the predictions of the relationship between work values and OCBs.Research limitations/implications -The study is limited to the context culture and data collection process. Practical implications -This research argues that an employee having higher work values may extend his/her upward striving from in-role behavior to extra-role behavior. However, a diminished sense of personal accomplishment signifies that this job may no longer offer a personal interest to the point that an employee is unwilling to display OCBs. Originality/value -Findings of the present study suggest that not only both work values and burnout are important factors in influencing OCBs, but also their interaction effect is a key factor in influencing OCBs.

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