Analysis of the mental health status of hospital staff during the COVID-19 pandemic.

BACKGROUND: Medical work is a complex and interpersonally sensitive job; clinicians interact with patients, colleagues and society-at-large daily, and they are under pressure from a variety of sources. The doctor-patient relationship is of particular concern. OBJECTIVE: To investigate the current mental health status of hospital staff and related influencing factors during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: The Symptom Checklist-90 (SCL-90) and Generalized Anxiety Disorder Scale-7 (GAD-7) were used to survey the current mental health status of hospital employees. The resulting qualitative data was described in the form of frequency and percentage (%), and the quantitative data were expressed as mean±standard deviation (X¯±S). RESULTS: A total of 1,074 employees of The Third Xiangya Hospital of Central South University participated in the mental health survey, of whom 77.47% were women. The SCL-90 score was 133.89±48.87, and the three highest scoring factors were depression, somatisation and obsessions, with factor scores of 19.10±8.14, 16.78±6.21 and 16.27±6.39, respectively. The GAD-7 score was 3.74±4.17 for women and 2.14±3.55 for men. The number of women with anxiety disorders was higher compared with men. CONCLUSION: The mental health status of hospital workers with different demographic characteristics varied greatly during the COVID-19 pandemic. Active attention needs to be paid to the mental health status of hospital staff.

Optimism and symptoms of anxiety and depression among Chinese women with breast cancer: the serial mediating effect of perceived social support and benefit finding.

OBJECTIVE: This research examines the direct and indirect relationships between optimism, perceived social support (PSS), benefit finding (BF), and anxiety and depressive symptoms among Chinese women with breast cancer (BC). METHODS: We recruited 512 patients, aged averagely 47.46(SD = 8.51) years from two hospitals located in Hunan province, China. The variables were assessed using the Optimism-Pessimism Scale (OPS), the Multidimensional Scale of Perceived Social Support (MSPSS), the Benefit Finding Scale (BFS), and the Hospital Anxiety and Depression Scale (HADS). Path analyses were conducted by Amos version 24.0 for Windows to test the hypothesized serial mediation model. RESULTS: Path analyses suggest a significant negative association between optimism and symptoms of anxiety and depression. The relationship was mediated by BF (ß = -0.085, SE = 0.015, 95% CI [-0.126, -0.055]), and by BF together with PSS (ß = -0.027, SE = 0.007, 95% CI [-0.047, -0.017]). The difference comparison between the two indirect effects was significant (ß = 0.057, SE = 0.015, 95% CI [0.034,0.101]). CONCLUSIONS: Our findings suggest that PSS, and BF are important mediators through which optimism may buffer symptoms of anxiety and depression among Chinese BC patients. Clinicians and healthcare practitioners should be aware of the importance of patients' emotional health and endeavor to offer emotional support, facilitate their capacity to improve their quality of life.

Psychometric properties of the Chinese version of the Courtauld Emotional Control Scale in women newly diagnosed with breast cancer.

PURPOSE: Emotional control, the attempt to suppress the expression of negative effects, is an essential factor in the prevalence of psychological distress in women with breast cancer. The Courtauld Emotional Control Scale (CECS) is a commonly used self-report tool for assessing emotional suppression in both clinical and general groups. This study aimed to validate the Chinese version of the Courtauld Emotional Control Scale (CECS) in women newly diagnosed with breast cancer. METHODS: The study involved 680 women newly diagnosed with breast cancer aged 25 to 76 (mean age = 48.19, standard deviation (SD) = 8.57) from Changsha (China). Data analysis included Cronbach's alpha coefficients, the intraclass correlation coefficient (ICC), Pearson's correlations, Independent-Samples T test, confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) were conducted to determine the optimal model. For the best fitting model stability was assessed with tests for invariance across age, educational level, and employment status. RESULTS: Internal consistency (α = 0.987) and test-retest reliability (ICC = 0.715) of the CECS were presented. Results confirm the structure of the Chinese version of the CECS with 21 items divided into three dimensions, anger suppression (CECS_AG), depression suppression (CECS_MD), and anxiety suppression (CECS_AX). Convergent and known-groups validity were acceptable. Additionally, this model remained invariant across age, educational levels, and employment status. CONCLUSIONS: The Chinese version of the CECS has good psychometric properties in terms of reliability and validity, remaining invariant across age, educational levels, and employment status in women newly diagnosed with breast cancer.