COVID-19 vaccination coverage among patients with psychiatric disorders in China during the pandemic: a cross-sectional study.

BACKGROUND: To investigate the Coronavirus Disease 2019 (COVID-19) vaccination coverage and the influential factors of vaccination among patients with mental disorders, we conducted a cross-sectional study in China. METHOD: The anonymous questionnaires including demographic data, vaccination status, intention to be vaccinated and its reasons were collected in the Second Xiangya Hospital, one of the biggest four psychiatric centers in China. Mental health of these participants were measured by the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder-7 items (GAD-7). The influential factors associated with vaccination status were analyzed by Fisher exact tests and binary logistical analysis. RESULT: 1328 patients and 922 family members completed the survey. The vaccination rate of patients included was 69.4%, whereas 85.5% patients were willing to be vaccinated. Being hospitalized (aOR 0.41, 95% CI:0.27-0.60), suffering from schizophrenia (aOR 0.38, 95% CI: 0.19-0.75) and secondary school educational background (aOR 0.58, 95% CI: 0.37-0.93) were significantly associated with less likelihood to get vaccinated. Uptaking vaccines could reduce depressive (aOR 0.63, 95% CI: 0.41-0.98) or anxious symptoms (aOR 0.40, 95% CI: 0.25-0.63) in these patients for a short period. CONCLUSION: Further COVID-19 immunization programme should prioritize hospitalized psychiatric patients and schizophrenic patients since their demands for vaccination had been partly ignored during the current inoculation.

Changes in the mental health status of the general Chinese population during the COVID-19 pandemic: A longitudinal study.

The study is based on a longitudinal evaluation of the public, during the initial COVID-19 outbreak in China and 8 months after. It aimed to explore the changes in the mental health of the public at the beginning of the pandemic and during the regular epidemic prevention and control. An online survey questionnaire was used to collect data during the initial COVID-19 outbreak (February 10, 2020-February 18, 2020; T1) and 8 months after the outbreak (October 21, 2020-December 29, 2020; T2). Psychological distress was assessed using the Patient Health Questionnaire-9 (PHQ-9), Self-rating Anxiety Scale (SAS), and Post-traumatic Stress Disorder Checklist (PCL-5). A chi-square test was used to compare the changes in the depression and anxiety scores at T1 and T2, and the correlation between symptoms was analyzed through Spearman's rank correlation. In T1, 1,200 people were recruited, while 168 people responded in T2. Depression (48.2-31.0%; p=0.001) and anxiety (17.9-9.5%; p = 0.026) symptoms decreased over time; two participants developed post-traumatic stress disorder (PTSD) in T2. The scores of the PHQ-9 scale and the SAS scale were both positively correlated with the score of the PCL-5 scale and negatively correlated with sleep time. During the COVID-19 pandemic, part of the general population's anxiety and depression significantly reduced with time, and they rarely developed PTSD. PTSD occurrence was related to severe depression and anxiety.

Sex Differences in Psychological Status and Fatigue of Frontline Staff After the COVID-19 Outbreak in China: A Cross-Sectional Study.

Background: The coronavirus disease 2019 (COVID-19) is spreading globally, and it is significant to pay attention to the mental health of frontline staff in this pandemic. This study is aimed to explore the sex difference among the frontline staff in demographics, characteristics of mental state, and the potential relationship between them. Method: A total of 2,614 Chinese frontline staff were recruited. The Self-Rating Anxiety Scale (SAS) and the Patient Health Questionnaire-9 (PHQ-9) were used for assessing the mental status of frontline staff, and the Fatigue Self-Assessment Scale (FSAS) was used for detecting fatigue. Result: The prevalence rate of anxiety for female frontline staff is higher than that of male (P = 0.003), and the prevalence rate of depression is similar between them (P = 0.091). After comparing the risk factors of unhealthy mental state between different sexes, it is found that family income below 100,000 [depression: odds ratio (OR) 1.37; 95% CI, 1.08-1.73; anxiety: OR 1.99; 95% CI, 1.44-2.75], unsupported of family (depression: OR 10.94; 95% CI, 1.39-85.79; anxiety: OR 11.92; 95% CI, 3.80-37.36), and marriage (depression: OR 1.67; 95% CI, 1.15-2.43) are risk factors for male, and total fatigue (depression: OR 2.96; 95% CI, 1.46-6.02) is risk factor for female. Conclusions: This study found that depression and anxiety are widespread among the frontline staff of COVID-19, and anxiety showed a higher prevalence rate among female frontline staff. From the sex difference in risk factors, the focus of psychological interventions may differ between genders. Men with low family income, unsupported by family or marriage, and women with a high score of total fatigue required particular attention to their psychological status.

Prevalence of Risk Factors Associated With Mental Health Symptoms Among the Outpatient Psychiatric Patients and Their Family Members in China During the Coronavirus Disease 2019 Pandemic.

Objective: To investigate the prevalence of and risk factors associated with mental health symptoms in psychiatric outpatients and their family members in China during the COVID-19 pandemic. Methods: This cross-sectional, survey-based, region-stratified study collected demographic data and mental health measurements for depression, anxiety and acute stress from 269 psychiatric patients and 231 family members in the Second Xiangya Hospital in China from April 27, 2020 to May 8, 2020. Binary logistic regression analysis was performed to identify risk factors associated with mental health outcomes. Result: The results of this survey revealed that symptoms of depression, anxiety, and acute stress were highly prevalent symptoms in the psychiatric patient group. Respondents who were female, unmarried or highly educated were significantly more likely to have the above symptoms. In the family member group, more than half of them felt that the burden of nursing had increased during the epidemic. Subjects with a high degree of burden of care were significantly more likely to exhibit the above mental health symptoms, while females were significantly more likely to have acute stress. Conclusions: The results of this survey revealed a high prevalence of mental health disorder symptoms among psychiatric patients and an increased burden of nursing among their family members after the COVID-19 outbreak in China. Understanding the risk factors in those particular groups of people help improve the public health service system for mental health problems during public health events. For further study, exploration of the needs of mental health services and dynamic change tracking will be needed.

Mental health of front-line staff in prevention of coronavirus disease 2019. / 2019å† çŠ¶ç— æ¯’ç— é˜²æŽ§ä¸€çº¿äººå‘˜çš„å¿ƒç†çŠ¶å†µ.

OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic is a global public health crisis, which elicits psychological problems in different population. This study is to investigate the impact of COVID-19 on mental health in the front-line staff. METHODS: Patient Health Questionnare-9 (PHQ-9), Self-Rating Anxiety Scale (SAS), and Fatigue Self-assessment Scale (FSAS) were used to assess the depression, anxiety, and fatigue in front-line staff. RESULTS: The detection rates of depression, anxiety, and fatigue were 49.1%, 21.8%, and 76.0% among the front-line staff. The rates of depression, anxiety, and fatigue in community workers were higher than those in medical workers and other occupational staff (P<0.01). The PHQ-9 of front-line staffs was negatively correlated with age, family income, family members' support, satisfaction of service objects, and sleep quality (all P<0.01), while positively correlated with education level, fatigue, fear of pneumonia, and the duration of daily attention to the COVID-19 (all P<0.01). SAS was negatively correlated with age, family income, family support, satisfaction of objects service, and sleep quality (all P<0.01), while positively correlated with gender, fatigue, fear of pneumonia, and duration of daily attention to the COVID-19 (all P<0.01). CONCLUSIONS: The front-line workers should manage work and rest time reasonably to adjust their negative mood and fatigue. The government and the society should pay more attention to the psychological state of the front-line staff, particularly for the staff working in the community or villages and towns in preventing the COVID-19 pandemic. Thus, front-line staff can be obtained mental intervention or be taken a rest from the high-intensive work.