Prevalence and risk factors of anxious and depressive symptoms in first-trimester females and their partners: a study during the pandemic era of COVID-19 in China.

BACKGROUND: The pandemic of coronavirus disease 2019 lastingly affects public mental health. Many studies have described symptoms of anxiety and depression in pregnant women before the pandemic. However, the limited study focuses on the prevalence and risk factors of mood symptoms among first-trimester females and their partners during the pandemic in China, which was the aim of the study. METHODS: One hundred and sixty-nine first-trimester couples were enrolled. The Edinburgh Postnatal Depression Scale, Patient Health Questionnaire-9, Generalized Anxiety Disorder 7-Item, Family Assessment Device-General Functioning (FAD-GF), and Quality of Life Enjoyment and Satisfaction Questionnaire, Short Form (Q-LES-Q-SF) were applied. Data were mainly analyzed through logistic regression analysis. RESULTS: 17.75% and 5.92% of first-trimester females had depressive and anxious symptoms, respectively. Among partners, 11.83% and 9.47% had depressive and anxious symptoms, respectively. In females, higher scores of FAD-GF (OR = 5.46 and 13.09; P < 0.05) and lower scores of Q-LES-Q-SF (OR = 0.83 and 0.70; P < 0.01) were related to the risk of depressive and anxious symptoms. Higher scores of FAD-GF were associated with the risk of depressive and anxious symptoms in partners (OR = 3.95 and 6.89; P < 0.05). A history of smoking was also related to males' depressive symptoms (OR = 4.49; P < 0.05). CONCLUSION: This study prompted prominent mood symptoms during the pandemic. Family functioning, quality of life, and smoking history increased risks of mood symptoms among early pregnant families, which facilitated the updating of medical intervention. However, the current study did not explore interventions based on these findings.

Negative Emotions in Chinese Frontline Medical Staff During the Early Stage of the COVID-19 Epidemic: Status, Trend, and Influential Pathways Based on a National Investigation.

Objective: The outbreak of coronavirus disease 2019 (COVID-19), declared as a major public health emergency, has had profound effects on public mental health especially emotional status. Due to professional requirements, medical staff are at a higher risk of infection, which might induce stronger negative emotions. This study aims to reveal the emotional status of Chinese frontline medical staff in the early epidemic period to better maintain their mental health, and provide adequate psychological support for them. Methods: A national online survey was carried out in China at the early stage of the COVID-19 epidemic. In total, 3025 Chinese frontline medical staff took part in this investigation which utilized a general information questionnaire, the Emotion Regulation Questionnaire (ERQ), and the Berkeley Expressivity Questionnaire (BEQ). Results: At the early stage of COVID-19, anxiety was the most common negative emotion of Chinese medical staff, followed by sadness, fear, and anger, mainly at a mild degree, which declined gradually over time. Nurses had the highest level of negative emotions compared with doctors and other healthcare workers. Women experienced more fear than men, younger and unmarried medical staff had more anxiety and fear compared with elders and married ones. Risk perception and emotional expressivity increased negative emotions, cognitive reappraisal reduced negative emotions, while negative emotions led to more avoidant behavior and more physical health disturbances, in which negative emotions mediated the effect of risk perception on avoidant behavior tendency in the model test. Conclusion: Chinese frontline medical staff experienced a mild level of negative emotions at the early stage of COVID-19, which decreased gradually over time. The findings suggest that during the epidemic, nurses' mental health should be extensively attended to, as well as women, younger, and unmarried medical staff. To better ensure their mental health, reducing risk perception and improving cognitive reappraisal might be important, which are potentially valuable to form targeted psychological interventions and emotional guidance under crisis in the future.

Fear in the Chinese Population: Influential Patterns in the Early Stage of the COVID-19 Pandemic.

Major global public health emergencies challenge public mental health. Negative emotions, and especially fear, may endanger social stability. To better cope with epidemics and pandemics, early emotional guidance should be provided based on an understanding of the status of public emotions in the given circumstances. From January 27 to February 11, 2020 (during which the cases of COVID-19 were increasing), a national online survey of the Chinese public was conducted. A total of 132,482 respondents completed a bespoke questionnaire, the Emotion Regulation Questionnaire, and the Berkeley Expressivity Questionnaire (BEQ). Results showed that at the early stage of the COVID-19 epidemic, 53.0% of the Chinese population reported varying degrees of fear, mostly mild. As seen from regression analysis, for individuals who were unmarried and with a relatively higher educational level, living in city or area with fewer confirmed cases, cognitive reappraisal, positive expressivity and negative inhibition were the protective factors of fear. For participants being of older age, female, a patient or medical staff member, risk perception, negative expressivity, positive impulse strength and negative impulse strength were the risk factors for fear. The levels of fear and avoidant behavior tendencies were risk factors for disturbed physical function. Structural equation modeling suggested that fear emotion had a mediation between risk perception and escape behavior and physical function disturbance. The findings help to reveal the public emotional status at the early stage of the pandemic based on a large Chinese sample, allowing targeting of the groups that most need emotional guidance under crisis. Findings also provide evidence of the need for psychological assistance in future major public health emergencies.

Mental health status of patients with coronavirus disease 2019 in Changsha. / 长沙地区2019å† çŠ¶ç— æ¯’ç— æ‚£è€ çš„å¿ƒç†å¥åº·çŠ¶å†µ.

OBJECTIVES: The epidemic of coronavirus disease 2019 (COVID-19) brought psychological stress to the public, especially to patients. This study aims to investigate the mental health of patients with COVID-19 in Changsha. METHODS: We took cross-section investigation for the mental health of 112 patients with COVID-19 via questionnaires. Mann-Whitney U test, Chi-square test, and Fisher's exact test were performed to compare general and clinical data between the slight-ordinary patients and severe patients. Single sample t-tests were used to compare the difference between the factor scores of the Symptom Check-List 90 (SCL-90) in COVID-19 patients with the norm of 2015 and factor scores of SCL-90 in patients with the severe acute respiratory syndrome (SARS). RESULTS: The obsessive-compulsive, depression, sleep and eating disorders had the highest frequency among the positive symptoms of SCL-90 in patients with COVID-19 in Changsha. The factor scores of somatization, depression, anxiety, phobia anxiety, sleep and eating disorders in patients with COVID-19 were higher than those of the norm (P≤0.001 or P<0.05). Slight-ordinary patients with COVID-19 in Changsha showed lower factor scores of somatization, depression, anxiety, and hostility compared with the patients with SARS (P<0.001 or P<0.05). There was no difference in factor scores of SCL-90 between the patients with severe COVID-19 and those with SARS(P>0.05). CONCLUSIONS: The levels of somatization, depression, anxiety, phobia anxiety, sleep and eating disorders in patients with COVID-19 in Changsha are higher than those of the norm. However, the mental health of slight-ordinary patients with COVID-19 is better than that of patients with SARS. It needs to provide targeting psychological interventions depending on the severity of patients.

Mechanism of Farfarae Flos in Qingfei Paidu Decoction against COVID-19 based on network pharmacology and molecular docking

Objective: To investigate the mechanism of Farfarae Flos (FF) in Qingfei Paidu Decoction against coronavirus disease 2019 (COVID-19) based on network pharmacology and molecular docking. Methods: Based on our previous study, the main compounds in FF were selected. The potential targets of FF were searched by Swiss Target Prediction and BATMAN-TCM database. GenCLiP 3 and GeneCard were used to predict and screen the therapeutic targets of COVID-19, and then Cytoscape 3.7.1 was used to build the compound-target-disease network. The String database was used to build the target PPI network. Gene ontology (GO) function enrichment analysis and KEGG pathway enrichment analysis were performed in the DAVID database. Molecular docking was performed based on the above compounds and the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 3CL hydrolase and angiotensin converting enzyme II (ACE2). Results: The compound-target-disease network contained 14 compounds, 104 targets and four diseases. GO function enrichment analysis revealed 444 GO items (P < 0.05), including 325 biological process (BP) items, 44 cell composition (CC) items and 75 molecular function (MF) items. A total of 94 signal pathways (P < 0.05) were screened out by KEGG pathway enrichment analysis. The results of molecular docking showed that the affinity of 3,4-dicaffeoylquinic acid and 4,5-dicaffeoylquinic acid with proteins were better than Remdesivir. Conclusion: The compounds in FF can bind with SARS-CoV-2 3CL hydrolase and ACE2, and then act on many targets to regulate multiple signaling pathways, thus exerting the therapeutic effect on COVID-19.