Association of fear of COVID-19 and resilience with psychological distress among health care workers in hospitals responding to COVID-19: analysis of a cross-sectional study.

Background: It remains unclear how fear of COVID-19 and resilience are related to psychological distress based on occupations among healthcare workers (HCWs) in hospitals treating patients with COVID-19. We conducted a survey on the mental health of HCWs during the COVID-19 pandemic to determine the relationship between factors such as fear of COVID-19 and resilience as well as mental distress in each occupation of HCWs. Methods: We conducted a web-based survey among HCWs at seven hospitals treating COVID-19 patients in Japan from December 24, 2020 to March 31, 2021. A total of 634 participants were analyzed, and information regarding their socio-demographic characteristics and employment status was collected. Several psychometric measures were used, including the Kessler's Psychological Distress Scale (K6), the fear of COVID-19 Scale (FCV-19S), and the Resilience Scale (RS14). Factors related to psychological distress were identified by logistic regression analysis. The association between job title and psychological scales was examined by one-way ANOVA, and t-tests were conducted to examine the association between the FCV-19S and hospital initiatives. Results: It was found that nurses and clerical workers were associated with psychological distress without considering FCV-19S or RS14; in a model that included FCV-19S, FCV-19S was associated with psychological distress, but job title was not; when RS14 was considered, resilience was protective. In terms of occupation, FCV-19S was lower among physicians and higher among nurses and clerical workers, while RS14 was higher among physicians and lower among other occupations. Having access to in-hospital consultation regarding infection control as well as to psychological and emotional support was associated with lower FCV-19S. Conclusion: Based on our findings, we can conclude that the level of mental distress differed by occupation and the differences in the fear of COVID-19 and resilience were important factors. In order to provide mental healthcare for HCWs during a pandemic, it is important to create consultation services that enable employees to discuss their concerns. In addition, it is important to take steps to strengthen the resilience of HCWs in preparation for future disasters.

Impact of loneliness on suicidal ideation during the COVID-19 pandemic: findings from a cross-sectional online survey in Japan.

OBJECTIVES: We aim to reveal how loneliness relates to suicidal ideation following the onset of the COVID-19 pandemic. DESIGN: Cross-sectional online survey. SETTING: Community cohort study in Japan. PARTICIPANTS: The second wave of a large web-based survey, Japan COVID-19 and Society Internet Survey, was conducted in February 2021, and we analysed the data of 6436 men and 5380 women who were aged 20-59 years. MAIN OUTCOME MEASURES: The prevalence ratios (PRs) of suicidal ideation due to loneliness, depression, social isolation and decline in income during the pandemic and other sociodemographic and economic information were adjusted in the analysis. STATISTICAL METHODS: Estimations were conducted by separating a male and female sample. The survey weight (inverse probability weighting) was applied for analyses, and a Poisson regression model was used with all the potential confounders adjected. RESULTS: Overall, 15.1% of male and 16.3% of female participants were found to have had suicidal ideation during the COVID-19 pandemic. Among them, 23% of male and 20% of female participants experienced suicidal ideation for the first time. The results of the Poisson regression suggested that those who were feeling lonely had higher PRs for suicidal ideation (4.83 for men (95% CI, 3.87 to 6.16) and 6.19 for women (95% CI, 4.77 to 8.45)). The relationship between loneliness and suicidal ideation remained robust even after adjusting for depression, although there were declines in PRs. Additionally, the results showed that those who were lonely, and continued to feel lonely during the pandemic, had the highest PRs of suicidal ideation. CONCLUSION: Loneliness had both direct and indirect effects on suicidal ideation mediated through depression. Those who felt lonelier during the pandemic had the highest risk of suicidal ideation. It is necessary to adopt national measures focused on providing psychological support to people who feel lonely to prevent them from taking their own lives.

Proposed Cut-Off Score for the Japanese Version of the Fear of Coronavirus Disease 2019 Scale (FCV-19S): Evidence from a Large-Scale National Survey in Japan.

The Fear of coronavirus disease 2019 (COVID-19) Scale (FCV-19S) is a seven-item self-administered psychological scale for measuring the fear of this disease. The scale has been widely adapted and validated worldwide. This study aimed to propose a cut-off score for the validated Japanese version of the FCV-19S. We conducted a nationwide online survey and included 26,286 respondents in the analysis. Respondents answered questions on their sociodemographic characteristics, and using the FCV-19S and six-item Kessler Psychological Distress Scale, we measured psychological distress and assessed whether the fear of COVID-19 interfered with their daily lives. A total score of ≥21 points was considered adequate to identify those with psychological distress or difficulties in daily living because of the fear of COVID-19. This cut-off score will contribute to mental health assessment during the COVID-19 pandemic.

Mental Health of Caregivers Working in Nursing Homes during the COVID-19 Pandemic.

INTRODUCTION: There have been numerous reports of cluster outbreaks of coronavirus disease 2019 (COVID-19) in hospitals and nursing homes. Healthcare workers fighting COVID-19 experience mental health issues. Caregivers in nursing homes experienced increased psychological distress and concern about deterioration of their mental health. We conducted a large-scale web-based survey exploring mental health among caregivers working in nursing homes during the COVID-19 pandemic with the aim of identifying their support needs. METHODS: Survey participants were caregivers working at 284 nursing homes in Ibaraki prefecture, Japan. The survey period was from September 2020 to March 2021. Participants responded to a questionnaire covering gender, age, occupation, infections at facilities, infection protection, changes in nursing home users, cooperation with other medical institutions, and prejudice/discrimination. The Hospital Anxiety and Depression Scale (HADS) was used to evaluate participants' depression and anxiety. RESULTS: In total, 676 participants completed the survey; 350 (52.5%) were with anxiety symptoms and 378 (56.7%) were with depressive symptoms (scores exceeding the HADS cut-off points). The risk for anxiety was associated with being care worker or social worker. The risk of anxiety or depression was high when family caregivers' mental state changed. DISCUSSION/CONCLUSION: This study found that caregivers working in nursing homes were exposed to high levels of stress during the COVID-19 pandemic and were at high risk for developing depression and anxiety.

Demographics Associated With Stress, Severe Mental Distress, and Anxiety Symptoms During the COVID-19 Pandemic in Japan: Nationwide Cross-sectional Web-Based Survey.

BACKGROUND: With the spread of COVID-19, the deterioration of public mental health has become a major global and social problem. OBJECTIVE: The purpose of this study was to elucidate the relationship between the 3 mental health problems associated with COVID-19, that is, perceived stress, severe mental distress, and anxiety symptoms, and the various demographic factors, including occupation. METHODS: A nationwide web-based questionnaire survey was conducted in Japan from August 4 to 31, 2020. In addition to sociodemographic data, the degrees of perceived stress, severe mental distress, and anxiety symptoms associated with COVID-19 were measured. After performing a descriptive statistical analysis, factors related to stress, severe mental distress, and anxiety symptoms were analyzed using logistic regression analysis. RESULTS: A total of 8203 respondents submitted survey responses, among whom 34.9% (2861/8203) felt intense stress associated with COVID-19, 17.1% (1403/8203) were depressed, and 13.5% (1110/8203) had severe anxiety symptoms. The logistic regression analysis showed that each of the 3 mental health problems were prevalent in females, nonbinary gender, people in their 50s, 60s and older, respondents who visited psychiatrists, and those currently in psychiatric care. Severe mental distress and anxiety symptoms were associated with the number of effective lifestyle coping strategies during the lockdown period. Severe mental distress was only prevalent in teenagers and respondents in their 20s, as students tended to develop stress and severe mental distress. With regard to occupation, working in nursing care and welfare, education and research, and medical and health sectors was associated with stress; however, working in these occupations was not associated with severe mental distress and anxiety symptoms. Unemployment was associated with severe mental distress and anxiety symptoms. All 3 mental health problems were prevalent in part-time workers and those working in entertainment and arts sectors. CONCLUSIONS: Gender, age, occupation, history of psychiatric visits, and stress coping mechanisms were associated with mental health during the COVID-19 pandemic, but their associations with stress, severe mental distress, and anxiety symptoms differed. In addition, the actual state of mental health varied according to the respondents' occupation. It is necessary to consider the impact of the COVID-19 pandemic on mental health not only at the individual level but also at the occupational level.

Association between depressive state and behavioral changes induced by the state of emergency for Coronavirus disease 2019: Evidence from university students in Japan.

Coronavirus disease 2019 (Covid-19) has caused numerous problems worldwide since 2020. The pandemic and subsequent quarantine policies have resulted in numerous psychological problems among students. The quarantine policy forced students to change their behavior and refrain from going out. To date, the relationship between behavioral and psychological changes following the implementation of the quarantine policy has not been investigated. We conducted a web-based survey to investigate the change in time spent out of the house between before and after the implementation of the quarantine policy and how this related to changes in depression. We collected data from 12,088 students, which included the Patients Health Questionnaire-9, frequency of going out, and demographics. We divided subjects into three categories based on the frequency of going out before and after the policy was put in place. Results showed that students who frequently went out before the pandemic and strictly followed the government policy were significantly more depressed than those who did not frequently go out. In contrast, students who had always been reluctant to go out did not have a tendency for depression to worsen. Our findings indicate that behavioral modification leads to depression in those who previously had active social lives.

Confirming validity of The Fear of COVID-19 Scale in Japanese with a nationwide large-scale sample.

Assessing fear and anxiety regarding COVID-19 viral infection is essential for investigating mental health during this epidemic. We have developed and validated a Japanese-language version of The Fear of COVID-19 Scale (FCV-19S) based on a large, nationwide residential sample (n = 6,750) recruited through news and social media responding to an online version of the questionnaire. Data was collected from August 4-25, 2020. Results correlated with K6, GAD-7 and IES-R psychological scales, and T-tests and analysis of variance identified associated factors. All indices indicated the two-factor model emotional fear reactions and symptomatic expressions of fear a better fit for our data than a single-factor model in Confirmatory Factor Analysis (χ2 = 164.16, p<0.001, CFI 0.991, TLI = 0.985, RMSEA = 0.043). Socio-demographic factors identified as disaster vulnerabilities such as female sex, sexual minority, elderly, unemployment, and present psychiatric history associated with higher scores. However, respondent or family member experience of infection risk, or work/school interference from confinement, had greatest impact. Results suggest necessity of mental health support during this pandemic similar to other disasters.