Perceived Psychological Feelings Make Important Contributions to the Symptoms of Common Mental Disorders of Medical Staff During the COVID-19

Prevalence and correlates of mental health problems among different occupations of medical workers during COVID-19 outbreak in China

Background

Health workers involved in the fight to prevent the COVID-19 outbreak were exposed to hazards. Detailed information on mental health problems in different medical occupations is crucial. To examined the prevalence of mental health issues in three medical occupations as well as the relationships between mental health problems and correlates in each occupation.

Methods

This study utilizing the Questionnaire Star program was conducted among medical workers working at medical institutions in China from February 17 to 24, 2020. The Self-Reporting Questionnaire (SRQ-20), the Zung Self-rating Anxiety Scale (SAS), and the Zung Self-rating Depression Scale (SDS) were used to assess mental health problems.

Results

The prevalence of any mental health problems in the three occupations was 43.6, 34.6, and 32.9% for nurses, paramedical workers (PMWs), and doctors, respectively. Three occupations shared some correlates, such as being overworked, not having enough time to rest, support from colleagues, and previous mental health status. There were specific factors for each occupation. For doctors, age, educational level, living status, support from family, and previous physical status were related factors in mental health problems. Working in a designated hospital for treating COVID-19, having COVID-19 event exposures, and receiving support from family were associated with the mental health problems of the nurses. PMWs' mental health problems was linked to educational level and care from supervisors or heads of department.

Conclusion

Different medical occupations have distinct impacts on mental health issues. Policy makers and mental health professionals working to prepare for potential disease outbreaks should be aware of multiple factors in different occupations.

Psychological impact of COVID-19 and determinants among Spanish university students

Background

University students are a vulnerable population and faced a significant psychological impact from the COVID-19 pandemic. Therefore, this study aimed to determine the level of fear of COVID-19 among university students and to evaluate the possible relationship between fear of COVID-19 and socio-demographic, health-related determinants, variables related to the COVID-19 and variables related to the psychological impact of the COVID-19 pandemic.

Methods

We conducted a cross-sectional study between December 2020 and December 2021 on a sample of 950 university students from two universities in southern Spain. Participants completed a form that collected socio-demographic, health-related and COVID-related variables, a validated questionnaire related to the psychological impact of the COVID-19 pandemic and the fear of COVID Scale (FCV-19S). Descriptive, inferential, and multivariable linear regression analyzes were conducted.

Results

The mean FCV-19S score was 14.86 ± 5.16 points. The factors identified as predictors of FCV-19S were being female (p < 0.001), holding religious beliefs (p = 0.04), living in towns with over 10,000 inhabitants (p < 0.01), living with someone vulnerable to COVID-19 (p = 0.02), watching TV to keep informed about COVID-19 (p < 0.01), believing in a low probability of surviving if infected with COVID-19 (p < 0.001), having a higher level of death anxiety (p < 0.001) and suffering from insomnia (p < 0.001).

Conclusion

An average fear of COVID-19 score of 14.86 ± 5.16 points has been found among university students in Spain. These findings can aid in identifying specific factors contributing to fear of COVID-19 and in developing coping strategies to alleviate the stress of the pandemic.

Levels of depressive symptoms in cardiac patients attending cardiac rehabilitation with a history of depression: pre Covid-19 and Covid-19 period comparison

Background

The large-scale changes in cardiac rehabilitation (CR) programme delivery in response to COVID-19 has led to diminished provision. The influence of these service changes on the depression symptoms of patients in CR programmes is unknown. Our study investigated the extent of depressive symptoms prior to and during the COVID-19 periods in patients with a previous history of depression at the start of CR.

Methods

Use of Registry routine practice data, National Audit of Cardiac Rehabilitation (NACR), from COVID-19 period Feb 2020 and Jan 2021, as well as pre COVID-19 period Feb 2019 and Jan 2020, was extracted. Depressive symptoms were defined according to Hospital Anxiety and Depression Score ≥ 8. Chi-square tests and independent samples t-tests were used to investigate baseline characteristics. Additionally, a binary logistic regression to examine the factors associated with high levels of depressive symptoms.

Results

In total 3661 patients with a history of depression were included in the analysis. Patients attending CR during COVID-19 were found to be 11% more likely to have high levels of acute depressive symptoms compared to patients attending CR prior to COVID-19. Physical inactivity, increased anxiety, a higher total number of comorbidities, increased weight, and living in the most deprived areas were statistically significant factors associated with high levels of acute depressive symptoms at the start of CR following multivariate adjustments.

Conclusion

Our research suggests that following a cardiac event patients with prior history of depression have high levels of acute depressive symptoms at CR baseline assessment. This finding exists in both the pre Covid-19 and Covid-19 periods in patients with a history of depression.

Development and Application of Global Health Events-Mental Stress Scale for Assessment of Medical Staff's Acute Mental Stress Responses

Background

Medical workers have been increasingly involved in emergent public health events, which can lead to severe stress. However, no standardized, officially recognized, unified tool exists for mental distress measurement in medical workers who experienced the public health events.

Purpose

In the present study, we propose the Global Health Events-Mental Stress Scale (GHE-MSS), as a revised version of the Impact of Event Scale-Revision (IES-R), for assessment of medical workers’ acute mental stress responses within one month and their chronic mental stress responses within six months after major health events.

Patients and methods

The IES-R was slightly modified, developed, and its reliability and validity were tested using the Delphi survey, primary survey with 115 participants, formal survey with 300 participants, and clinical evaluation with 566 participants.

Results

Exploratory factor analysis and confirmatory factor analysis confirmed a promising validity of the scale. The values of Cronbach’s alpha coefficient, the Spearman-Brown coefficient, and the retested Cronbach’s alpha coefficient of the scale applied for the clinical evaluation were 0.88, 0.87, and 0.98, respectively, which confirmed a good internal consistency and stability. The results of the goodness-of-fit test indicated a good adaptation of the model. A correlation analysis was conducted to assess the correlation between the GHE-MSS and the PCL-C, which had a correlation coefficient of 0.68 (P<0.01).

Conclusion

GHE-MSS can be applied with a promising reliability and validity for the assessment of the acute mental stress response of medical workers experiencing public health events. This method can also be used for the screening of mental stress-associated disorders.

Accounting Transparency, Fear Sentiment and the COVID-19 Epidemic: For Public Health Security and the Construction of an Early Warning System

A central issue of public health security and the construction of an early warning system is to establish a set of responsibility-oriented incentives and restraint mechanisms. This is closely related to the accounting transparency of the institutional environment and the fear sentiment of the individual's predicament. This study analyses the relationship between accounting transparency, fear sentiment, and COVID-19 through a VAR model analysis. The results show a significant and negative relationship between accounting transparency and daily new COVID-19 patients. In particular, accounting transparency has a negative impact on the increase in the number of people infected with a two-period lag, while the three-period lag in the number of new epidemics has a negative impact on accounting information. Second, accounting transparency has a positive impact on the increase in the search volume on COVID-19 within a three-period lag. After the three-period lag, the number of new epidemics has a positive impact on accounting information. Third, an increase in fear sentiment can be driven by the fear of COVID-19. Fourth, in the public health early warning system, according to the abovementioned time characteristics, the system arranges the emotional counseling, early warning incentives, and institutional constraints to be dealt with in the first 4 days. In addition, in the early warning target-oriented system setting, the parallel system helps to improve the early warning efficiency.