Insomnia mediates the effect of perceived stress on emotional symptoms during the first wave of the COVID-19 pandemic in China.

The outbreak of the 2019 coronavirus disease (COVID-19) has significant effects on stress, emotion and sleep in the general public. The aim of this study was to explore the relationship between perceived stress and emotional symptoms during the first wave of the COVID-19 pandemic in China and to further determine whether insomnia could serve as a mediator in this relationship. A total of 1178 ordinary citizens living in mainland China conducted anonymous online surveys. The 10-item Perceived Stress Scale, the Insomnia Severity Index, the 9-item Patient Health Questionnaire and the 7-item Generalized Anxiety Disorder scale were used to estimate perceived stress, insomnia, depression and anxiety symptoms, respectively. Of the 1171 valid respondents from 132 cities in China, 46.6 % and 33.0 % showed symptoms of depression and anxiety, respectively. Perceived stress and insomnia independently predicted the prevalence of emotional symptoms and were positively correlated with the severity of these emotional symptoms. The mediation analyses further revealed a partial mediation effect of insomnia on the relationship between perceived stress and emotional symptoms during the first wave of the COVID-19 outbreak in China. Our findings can be used to formulate early psychological interventions to improve the mental health of vulnerable groups, specifically those with insomnia, during the COVID-19 pandemic.

The Relationship Between Symptoms of Anxiety and Somatic Symptoms in Health Professionals During the Coronavirus Disease 2019 Pandemic.

BACKGROUND: The pandemic of coronavirus disease 2019 (COVID-19) has posed a threat to global health. Increasing studies have shown that the mental health status of health professionals is very poor during the COVID-19 epidemic. At present, the relationship between somatic symptoms and symptoms of anxiety of health professionals during the COVID-19 has not been reported. The purpose of this study was to explore the frequency of somatic symptoms and its related factors in health professionals with symptoms of anxiety during COVID-19 in China. METHODS: A total of 606 health professionals were assessed online with the Chinese version of the 7-item Generalized Anxiety Disorder (GAD-7) scale, 7-item Insomnia Severity Index (ISI) and the somatization subscale of Symptom Checklist 90 (SCL-90). RESULTS: The percentage of symptoms of anxiety, somatic symptoms and insomnia in all health professionals was 45.4%, 12.0%, and 32%, respectively. The frequency of somatic symptoms in health professionals with symptoms of anxiety was 22.9%. The SCL-90 somatization subscale score was significantly positively correlated with history of somatic diseases, GAD-7 score and ISI score in participants with symptoms of anxiety. CONCLUSION: During the COVID-19, symptoms of anxiety, insomnia, and somatic symptoms are commonly observed in health professionals. Insomnia and symptoms of anxiety are independently associated with somatic symptoms of health professionals with symptoms of anxiety.

The prevalence and correlates of peripartum depression in different stages of pregnancy during COVID-19 pandemic in China.

BACKGROUND: Peripartum depression in and after pregnancy are common, reported by 11.9% of women worldwide, and the proportion was even higher during the outbreak of coronavirus disease 2019 (COVID-19). We aimed to investigate the prevalence and risk factors of peripartum depression under the influence of COVID-19 in China. METHODS: Using a cross-sectional design, 2026 pregnant and postpartum women residing in Beijing, Wuhan, and Lanzhou of China were recruited from February 28 to April 9, 2020. The Patient Health Questionnaire-9 was used to assess their depressive symptoms. The women were divided into four subgroups based on pregnancy stage, and a binary logistic regression analysis was conducted on each subgroup. RESULTS: Under the influence of COVID-19, the prevalence rate of peripartum depression among Chinese women was 9.7%. It was 13.6, 10.8, 7.9 and 7.3% in the first, second, third trimester and puerperium, respectively. Regression analysis showed that the influence of current pregnancy status on movement (Mild vs. No, aORs were 3.89, P < 0.001, 2.92, P = 0.003, 1.58, P = 0.150 in the three trimesters, respectively; Severe vs. No, aORs were 13.00, 20.45, 5.38 in the three trimesters, respectively, all P < 0.05), and worries and fears about childbirth (aORs were 2.46, 2.96, 2.50 in the three trimesters, respectively, all P < 0.05) were associated with depression throughout pregnancy. CONCLUSIONS: The prevalence rate of peripartum depression during the COVID-19 outbreak in China was not higher than usual. The influence of current pregnancy status on movement, as well as worries and fears about childbirth were independent risk factors for peripartum depression throughout pregnancy during COVID-19. The stage of pregnancy should be considered when implementing interventions.

Perceived Stress Positively Relates to Insomnia Symptoms: The Moderation of Resilience in Chinese Pregnant Women During COVID-19.

Background: The government's COVID-19 pandemic response lockdown strategy had a negative psychological and physical impact on individuals, which necessitated special care to pregnant women's mental health. There has been no large-scale research on the underlying relationship between perceived stress and insomnia symptoms in pregnant Chinese women up to this point. During the COVID-19 pandemic, we wanted to see if there was an association between perceived stress and insomnia symptoms, as well as the moderating impact of resilience for Chinese pregnant women. Methods: This cross-sectional study examined 2115 pregnant women from central and western China using multi-stage sampling methodologies. A systematic questionnaire was used to collect information on sleep quality, perceived stress, and resilience using the Insomnia Severity Index, Perceptual Stress Scale, and Connor and Davidson Resilience Scale. To assess the moderating influence of resilience, hierarchical regressions were used. Results: During the COVID-19 pandemic, 18.53% of respondents (N = 2115) reported experiencing sleeplessness. In pregnant women, perceived stress was positively linked with insomnia symptoms (p < 0.001). Furthermore, resilience significantly attenuated the influence of perceived stress on insomnia symptoms in Chinese expectant mother (ßinteraction = -0.0126, p < 0.001). Conclusion: Pregnant women with strong resilience were less influenced by perceived stress than those with poor resilience. The findings of this study might give empirical proof that health care professionals should identify the relevance of reducing perceived stress in pregnant women with poor resilience and provide better treatment and support when necessary.

Relationship between perceived stress and depression in Chinese front-line medical staff during COVID-19: A conditional process model.

BACKGROUND: Sustained stress during COVID-19 may be associated with depression in front-line medical staff, which would expose them to severe threats. This study aimed to examine whether the relationship between perceived stress and depression is mediated by insomnia, and whether this mediation is moderated by resilience. METHODS: For front-line medical staff, this study used online questionnaire to evaluate their perceived stress, depression, insomnia and resilience. A conditional process model was performed to examine the relationship between perceived stress and depression, as well as the mediating effect of insomnia and the moderating effect of resilience. RESULTS: A total of 606 front-line medical staff completed the survey. Higher level of perceived stress was significantly positively related to severe insomnia and depression. In addition, insomnia was positively related to depression, while resilience could moderate the effect of perceived stress on depression by direct and indirect paths. LIMITATIONS: The causality among perceived stress, depression, insomnia and resilience is difficult to be verified. CONCLUSIONS: Perceived stress is positively related to depression, and insomnia can mediate the effect of perceived stress on depression. In addition, the effect of perceived stress on depression, whether direct or indirect, is moderated by resilience, which is a protective factor for mental health.

Prevalence and clinical characteristics of COVID-19 in inpatients with schizophrenia in Wuhan, China.

BACKGROUND: In contrast to many Western countries, China has maintained its large psychiatric hospitals. The prevalence and clinical characteristics of coronavirus disease 2019 (COVID-19) in inpatients with schizophrenia (SCZ) are unclear. AIM: To assess the prevalence of COVID-19 among inpatients with SCZ and compare the infected to uninfected SCZ patients in a Wuhan psychiatric hospital. METHODS: We retrospectively collected demographic characteristics and clinical profiles of all SCZ patients with COVID-19 at Wuhan's Youfu Hospital. RESULTS: Among the 504 SCZ patients, 84 had COVID-19, and we randomly sampled 174 who were uninfected as a comparison group. The overall prevalence of COVID-19 in SCZ patients was 16.7%. Among the 84 SCZ patients with confirmed COVID-19, the median age was 54 years and 76.2% were male. The most common symptom was fever (82%), and less common symptoms were cough (31%), poor appetite (20%), and fatigue (16%). Compared with SCZ patients without COVID-19, those with COVID-19 were older (P = 0.006) and significantly lighter (P = 0.002), and had more comorbid physical diseases (P = 0.001). Surprisingly, those infected were less likely to be smokers (< 0.001) or to be treated with clozapine (P = 0.03). Further logistic regression showed that smoking [odds ratio (OR) = 5.61], clozapine treated (OR = 2.95), and male (OR = 3.48) patients with relatively fewer comorbid physical diseases (OR = 0.098) were at a lower risk for COVID-19. SCZ patients with COVID-19 presented primarily with fever, but only one-third had a cough, which might otherwise be the most common mode of transmission between individuals. CONCLUSION: Two unexpected protective factors for COVID-19 among SCZ inpatients are smoking and clozapine treatment.

Interaction of Insomnia and Somatization with Post-Traumatic Stress Disorder in Pregnant Women During the COVID-19 Pandemic.

INTRODUCTION: Post-traumatic stress disorder (PTSD) has an adverse impact on the emotional health of prenatal maternal women and their offspring. During the Coronavirus Disease 2019 (COVID-19) pandemic, pregnant women are vulnerable to traumatic events and are prone to PTSD symptoms. The aim of the study was to explore the predictive effects of insomnia and somatization on PTSD in pregnant women by utilizing generalized additive model (GAM). MATERIALS AND METHODS: A total of 1638 pregnant women from three local cities in China underwent online survey on sleep quality, somatization, and PTSD symptoms tested by the Insomnia Severity Index (ISI), the subscale somatization of Symptom Checklist-90 (SCL-90-S) and the Checklist for DSM-5 (PCL-5), respectively. RESULTS: Insomnia was positively correlated with PTSD symptoms in pregnant women (p = 1.79×10-5). Interestingly, insomnia and somatization showed a complex non-primary linear interaction in predicting PTSD (p = 2.00×10-16). CONCLUSION: Our results suggest that insomnia is a prominent predictor of PTSD symptoms in pregnant women in the context of public emergencies. In addition, the effects of insomnia and somatization on PTSD symptoms are characterized by complex non-primary linear relationships.

Role of perceived family support in psychological distress for pregnant women during the COVID-19 pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has caused major public panic in China. Pregnant women may be more vulnerable to stress, which may cause them to have psychological problems. AIM: To explore the effects of perceived family support on psychological distress in pregnant women during the COVID-19 pandemic. METHODS: A total of 2232 subjects were recruited from three cities in China. Through the online surveys, information on demographic data and health status during pregnancy were collected. Insomnia severity index, generalized anxiety disorder 7-item scale, patient health questionnaire-9, somatization subscale of the symptom check list 90 scale, and posttraumatic stress disorder checklist were used to assess the psychological distress. RESULTS: A total of 1015 (45.4%) women reported having at least one psychological distress. The women who reported having inadequate family support were more likely to suffer from multiple psychological distress (≥ 2 psychological distress) than women who received adequate family support. Among the women who reported less family support, 41.8% reported depression, 31.1% reported anxiety, 8.2% reported insomnia, 13.3% reported somatization and 8.9% reported posttraumatic stress disorder (PTSD), which were significantly higher than those who received strong family support. Perceived family support level was negatively correlated with depressive symptoms (r = -0.118, P < 0.001), anxiety symptoms (r = -0.111, P < 0.001), and PTSD symptoms (r = -0.155, P < 0.001). CONCLUSION: Family support plays an important part on pregnant women's mental health during the COVID-19 pandemic. Better family support can help improve the mental health of pregnant women.

Depression, anxiety, and stress symptoms in pregnant women before and during the COVID-19 pandemic.

OBJECTIVE: This study evaluates depression, anxiety, and stress symptoms in pregnant women before and during COVID-19 pandemic and analyzes their risk factors. METHODS: This was a cross-sectional analyses included pregnant women with depression, anxiety, and stress levels evaluated both in the Novel Coronavirus-Pregnancy Cohort study (NCP) and the Healthy Baby Cohort study (HBC). NCP was conducted during COVID-19 pandemic, while HBC was performed before the pandemic. Multiple logistic regressions were employed to evaluate the associations between COVID-19 pandemic and other co-variables and maternal mental health. RESULTS: NCP and HBC studies respectively included 531 and 2352 participants. Depression rates differed significantly between the two studies (p < 0.05). The mild and moderate-to-severe depression rates in NCP study were 25.8% and 10.36%, respectively, and 19.94% and 0.55% in HBC study. The stress rate of participants was higher in HBC study (69.39%) than in NCP study (60.45%) (p < 0.05). COVID-19 pandemic was correlated with higher depression but lower stress risks (p < 0.05) in pregnant women, with OR and 95% CI as 1.68 (1.16, 2.44) and 0.42 (0.29, 0.61), respectively. Pregnant women with pre-pregnancy obesity and high educational levels might have lower risks for depression, anxiety, and stress than those with normal weight and low educational levels. CONCLUSIONS: Depression among pregnant women was impacted by the pandemic. Apart from COVID-19 pandemic impact, pre-pregnant weight status and educational level might also influence depression, anxiety and stress statuses in pregnant women.

Differences in the Association of Anxiety, Insomnia and Somatic Symptoms between Medical Staff and the General Population During the Outbreak of COVID-19.

BACKGROUND: During the outbreak of coronavirus disease 2019 (COVID-19), occupational differences were recognized with respect to psychological issues, but there are no reports regarding the insomnia and anxiety comorbidities and their related factors among the general public and medical staff. Our study aimed to compare the prevalence of anxiety and anxiety with insomnia, as well as the relationship between different psychological symptoms between the two groups. METHODS: A total of 605 medical staff and 1091 public respondents were assessed through an online questionnaire survey, including the 7-item Insomnia Severity Index (ISI), the somatization subscale of Symptom Checklist 90-Revised (SCL-90-R), and the 7-item Generalized Anxiety Disorder scale (GAD-7). RESULTS: Compared with the general public, medical staff had a higher incidence of anxiety (45.5% vs 32.4%). The incidence of insomnia in anxious participants was 52.7% in medical staff and 44.6% in the general public, and the difference was significant (p < 0.05). The GAD-7 score and somatization subscore of the SCI-90 were independently associated with insomnia among anxiety participants in both groups (all p < 0.001). CONCLUSION: Our findings suggest that during the epidemic period of COVID-19, medical staff experienced more anxiety and anxiety with insomnia. Somatization, anxiety and insomnia are highly correlated among medical staff and the general public.

Comparison of prevalence and risk factors of somatization between Chinese health care workers and non-health care workers during COVID-19 outbreak.

BACKGROUND: This study aimed to compare prevalence and risk factors of somatization (SOM) between health care workers and non-health care workers during COVID-19 outbreak in China. METHODS: From 14 February to 29 March 2020, an online survey was performed in both 605 health care workers and 1151 non-health care workers. Based on the somatization dimension score of the Symptom Checklist-90, participants were divided into non-SOM group and SOM group. RESULTS: Health care workers had higher prevalence rate of SOM (p < 0.001) than non-health care workers, with an OR of 1.70 (95% CI, 1.22-2.36, p = 0.002). Multiple logistic regression analysis revealed that in non-health care workers, the risk factors of SOM included other ethnicities, insomnia, and suicide, while in health care workers, the risk factors included working 6-8 h per day, and working ≥10 h per day during COVID-19 outbreak. CONCLUSIONS: Our research suggests that both non-health care workers and health care workers have a relatively high prevalence of somatization. However, the related factors for somatization in both groups are significantly different, showing that medical service-related factors are associated with somatization in health care workers, while demographic and clinical factors are associated with somatization in non-health care workers.

Association of Stress-Related Factors With Anxiety Among Chinese Pregnant Participants in an Online Crisis Intervention During COVID-19 Epidemic.

Background: Previous systematic review indicated the prevalence of prenatal anxiety as 14-54%. Pregnant women are a high-risk population for COVID-19. However, the prevalence of anxiety symptoms and related factors is unknown in Chinese pregnant women during COVID-19 outbreak. Objective: To investigate the prevalence of anxiety symptoms and the related factors in Chinese pregnant women who were attending crisis intervention during the COVID-19 pandemic. Methods: The data of this cross-sectional study were collected in about 2 months (February 28 to April 26, 2020). Data analysis was performed from April to May 2020. Participants completed a set of questionnaires via the Wechat Mini-program before starting the online self-help crisis intervention for COVID-19 epidemic. A total of 2,120 Chinese pregnant women who were attending a self-help crisis intervention participated in this study. A survey was developed to address possible stress-related factors in pregnant women during the COVID-19 outbreak, including demographic, socioeconomic, and pregnancy-related factors, as well as COVID-19 related factors. Generalized Anxiety Disorder-7 (GAD-7) scale and the 10-item perceived stress scale were, respectively, employed to measure anxiety and stress-related factors. Results: A total of 21.7% (459) of pregnant women reported at least mild anxiety (≥5 on the GAD-7 scale), and only 82 women reported moderate to severe anxiety (≥10 on the GAD-7 scale). Factors associated with at least mild anxiety included living in Hubei province (OR = 1.68, 95% CI = 1.32-2.13), nobody providing everyday life support (OR = 1.81, 95% CI = 1.18-2.77), pelvic pain or vaginal bleeding (OR = 1.67, 95% CI = 1.32-2.09), and higher perceived stress (OR = 6.87, 95% CI = 5.42-9.02). Having relatives or neighbors with a diagnosis of COVID-19 was not associated with anxiety (p > 0.05). Conclusions and Relevance: Our findings indicate that evaluation and intervention for maternal and infant health are necessary in pregnant women with anxiety during COVID-19 epidemic, especially those with higher perceived stress, less everyday life support, or vaginal bleeding. Interactions among these related medical, social and psychological factors need to be investigated in future studies.

Maternal insomnia during the COVID-19 pandemic: associations with depression and anxiety.

BACKGROUND: The COVID-19 outbreak has made people more prone to depression, anxiety and insomnia, and females are at a high risk of developing these conditions. As a special group, pregnant and lying-in women must pay close attention to their physical and mental health, as both have consequences for the mother and the fetus. However, knowledge regarding the status of depression, anxiety and insomnia among these women is limited. AIM: This study aimed to examine insomnia and psychological factors among pregnant and lying-in women during the COVID-19 pandemic and provide theoretical support for intervention research. METHODS: In total, 2235 pregnant and lying-in women from 12 provinces in China were surveyed; their average age was 30.25 years (SD = 3.99, range = 19-47 years). PARTICIPANTS AND SETTING: The participants completed electronic questionnaires designed to collect demographic information and assess levels of depression, anxiety and insomnia. RESULTS: The prevalence of insomnia in the sample was 18.9%. Depression and anxiety were significant predictors of insomnia. Participants in high-risk areas, those with a disease history, those with economic losses due to the outbreak, and those in the postpartum period had significantly higher insomnia scores. DISCUSSION: The incidence of insomnia among pregnant and lying-in women is not serious in the context of the epidemic, which may be related to the sociocultural background and current epidemic situation in China. CONCLUSION: Depression and anxiety are more indicative of insomnia than demographic variables.

Burnout and Its Relationship With Depressive Symptoms in Medical Staff During the COVID-19 Epidemic in China.

OBJECTIVE: The large-scale epidemic of Coronavirus Disease 2019 (COVID-19) has triggered unprecedented physical and psychological stress on health professionals. This study aimed to investigate the prevalence and risk factors of burnout syndrome, and the relationship between burnout and depressive symptoms among frontline medical staff during the COVID-19 epidemic in China. METHODS: A total of 606 frontline medical staff were recruited from 133 cities in China using a cross-sectional survey. The Maslach Burnout Inventory (MBI) was used to assess the level of burnout. Depressive symptoms were assessed by the Patient Health Questionnaire Depression (PHQ-9). RESULTS: During the COVID-19 pandemic, 36.5% of the medical staff experienced burnout. Personal and work-related factors were independently associated with burnout, including age (OR = 0.68, 95% CI: 0.52-0.89, p = 0.004), family income (OR = 0.72, 95% CI: 0.53-0.99, p = 0.045), having physical diseases (OR = 2.16, 95% CI: 1.42-3.28, p < 0.001), daily working hours (OR = 1.35, 95% CI: 1.03-1.77, p = 0.033), and profession of nurse (OR = 2.14, 95% CI: 1.12-4.10, p = 0.022). The correlation coefficients between the scores of each burnout subscale and the scores of depressive symptoms were 0.57 for emotional exhaustion, 0.37 for cynicism, and -0.41 for professional efficacy (all p < 0.001). CONCLUSIONS: Our findings suggest that the prevalence rate of burnout is extremely high among medical staff during the COVID-19 pandemic, which is associated with other psychological disorders, such as depression. Psychological intervention for medical staff is urgently needed. Young and less experienced medical staff, especially nurses, should receive more attention when providing psychological assistance.

The prevalence and risk factors of depression in prenatal and postnatal women in China with the outbreak of Corona Virus Disease 2019.

BACKGROUND: The prevalence of depression increase with the outbreaks of epidemic disease. The prevalence of depression during the outbreak of Corona Virus Disease 2019 (COVID-19) in prenatal and postnatal women was examined in China. METHODS: 2201 prenatal and postnatal women in mainland China were recruited in this cross-sectional study from February 28th to April 26th, 2020. The Patient Health Questionnaire (PHQ-9) was used to assess depression in prenatal and postnatal women. RESULTS: The prevalence rate of depression was 35.4%. The risk factors for depression included drinking (p = 0.04; adjusted OR = 2.81, 95%CI: 1.26~6.24), nausea and vomiting during pregnancy (p < 0.001; adjusted OR = 3.54, 95%CI: 1.10~11.44), pregnancy's influence on mobility (p = 0.02; adjusted OR = 1.42, 95%CI: 1.11~1.83), anxiety (p < 0.001; adjusted OR = 1.66, 95%CI: 1.57~1.75), insomnia (p < 0.001; adjusted OR = 1.17, 95%CI: 1.14~1.21) and daily attention to fetal movement (p < 0.001; adjusted OR = 0.41, 95%CI: 0.31~0.56). LIMITATIONS: This study used a cross-sectional design, and cannot compare changes in the incidence of depression before and after the COVID-19 outbreak. CONCLUSIONS: During the COVID-19 outbreak, the prevalence rate of depression among Chinese prenatal and postnatal women was 35.4%. Moreover, anxiety, insomnia, drinking, nausea and vomiting during pregnancy, as well as the impaired movement and less daily monitoring of fetal movement were risk factors for depression.

The prevalence of psychiatric symptoms of pregnant and non-pregnant women during the COVID-19 epidemic.

Coronavirus disease 2019 (COVID-19) is rapidly spreading worldwide, with a staggering number of cases and deaths. However, available data on the psychological impacts of COVID-19 on pregnant women are limited. The purposes of this study were to assess the prevalence of psychiatric symptoms among pregnant women, and to compare them with non-pregnant women. From February 28 to March 12, 2020, a cross-sectional study of pregnant and non-pregnant women was performed in China. The online questionnaire was used to collect information of participants. The mental health status was assessed by patient health questionnaire, generalized anxiety disorder scale, insomnia severity index, somatization subscale of the symptom checklist 90, and post-traumatic stress disorder (PTSD) checklist-5. Totally, 859 respondents were enrolled, including 544 pregnant women and 315 non-pregnant women. In this study, 5.3%, 6.8%, 2.4%, 2.6%, and 0.9% of pregnant women were identified to have symptoms of depression, anxiety, physical discomfort, insomnia, and PTSD, respectively. However, the corresponding prevalence rates among non-pregnant women were 17.5%, 17.5%, 2.5%, 5.4%, 5.7%, respectively. After adjusting for other covariates, we observed that pregnancy was associated a reduced risk of symptoms of depression (OR = 0.23; 95% CI: 0.12-0.45), anxiety (OR = 0.26; 95% CI: 0.16-0.42), insomnia (OR = 0.19; 95% CI: 0.06-0.58), and PTSD (OR = 0.15; 95% CI: 0.04-0.53) during the COVID-19 epidemic. Our results indicate that during the COVID-19 epidemic in China, pregnant women have an advantage of facing mental problems caused by COVID-19, showing fewer depression, anxiety, insomnia, and PTSD symptoms than non-pregnant women.

Mental Health in Frontline Medical Workers during the 2019 Novel Coronavirus Disease Epidemic in China: A Comparison with the General Population.

BACKGROUND: Since December 2019, China has been affected by a severe outbreak of coronavirus disease 2019 (COVID-19). Frontline medical workers experienced difficulty due to the high risk of being infected and long and distressing work shifts. The current study aims to evaluate psychological symptoms in frontline medical workers during the COVID-19 epidemic in China and to perform a comparison with the general population. METHODS: An online survey was conducted from 14 February 2020 to 29 March 2020. A total of 899 frontline medical workers and 1104 respondents in the general population participated. Depression, anxiety, insomnia, and resilience were assessed via the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), Insomnia Severity Index (ISI), and abbreviated Connor-Davidson Resilience Scale (CD-RISC-10), respectively. RESULTS: Overall, 30.43%, 20.29%, and 14.49% of frontline medical workers in Hubei Province and 23.13%, 13.14%, and 10.64% of frontline medical workers in other regions reported symptoms of depression, anxiety, and insomnia, respectively. In addition, 23.33%, 16.67%, and 6.67% of the general population in Hubei Province and 18.25%, 9.22%, and 7.17% of the general population in other regions reported symptoms of depression, anxiety, and insomnia, respectively. The resilience of frontline medical staff outside Hubei Province was higher than that of the general population outside Hubei Province. CONCLUSION: A large proportion of frontline medical workers and the general public experienced psychological symptoms during the COVID-19 outbreak. Psychological services for frontline medical workers and the general public are needed.

The prevalence and risk factors of psychological disturbances of frontline medical staff in china under the COVID-19 epidemic: Workload should be concerned.

BACKGROUND: To our best knowledge, this was the first time to investigate the prevalence and risk factors of psychological disturbances, including depression, anxiety, somatization symptoms, insomnia and suicide, among frontline medical staff, who were working with the COVID-10 infected patients directly. METHODS: Patient Health Questionnaire Depression (PHQ-9), Generalized Anxiety Disorder Questionnaire scale (GAD-7), Symptom Check List-90 (SCL-90) somatization, Insomnia Severity Index (ISI), and the suicidal module of the Mini International Neuropsychiatric Interview were used for online survey. RESULTS: A total of 606 frontline hospital staff and1099 general population were recruited. The prevalence of depression, anxiety, somatization symptoms, insomnia, and suicide risk in frontline medical staffs were 57.6%, 45.4%, 12.0%, 32.0% and 13.0%, respectively. Except for suicide risk, the prevalence of other psychological disorders in frontline medical staff were higher than those in general population (all p<0.01). Among the frontline medical staff, the daily working hours were associated with all psychological disturbance (all p<0.01), women with anxiety (p = 0.02), body mass index (BMI) with anxiety and insomnia (p = 0.02, p = 0.03). Age was negatively associated with depression, anxiety, and insomnia (all p<0.01). Finally, years of working and family income were negatively associated with suicide risk (p = 0.03, p<0.001). CONCLUSION: Our study demonstrates that during the outbreak of COVID-19, the frontline medical staff are more likely to suffer from psychological disturbances than general population. It is noticeable that daily working hours are a risk factor for all measured psychological disturbances, and some other variables may be involved in certain psychological disturbances of frontline medical staff.

Public mental health under the long-term influence of COVID-19 in China: Geographical and temporal distribution.

BACKGROUND: The mental health status caused by major epidemics is serious and lasting. At present, there are few studies about the lasting mental health effects of COVID-19 outbreak. The purpose of this study was to investigate the mental health of the Chinese public during the long-term COVID-19 outbreak. METHODS: A total of 1172 online questionnaires were collected, covering demographical information and 8 common psychological states: depression, anxiety, somatization, stress, psychological resilience, suicidal ideation and behavior, insomnia, and stress disorder. In addition, the geographical and temporal distributions of different mental states were plotted. RESULTS: Overall, 30.1% of smokers increased smoking, while 11.3% of drinkers increased alcohol consumption. The prevalence rates of depression, anxiety, mental health problems, high risk of suicidal and behavior, clinical insomnia, clinical post-traumatic stress disorder symptoms, moderate-to-high levels of perceived stress were 18.8%, 13.3%, 7.6%, 2.8%, 7.2%, 7.0%, and 67.9%, respectively. Further, the geographical distribution showed that the mental status in some provinces/autonomous regions/municipalities was relatively more serious. The temporal distribution showed that the psychological state of the participants was relatively poorer on February 20, 24 to 26 and March 25, especially on March 25. LIMITATIONS: This cross-sectional design cannot make causal inferences. The snowball sampling was not representative enough. CONCLUSION: Our findings suggest that the prevalence rate of mental disorders in the Chinese public is relatively low in the second month of the COVID-19 pandemic. In addition, people's mental state is affected by the geographical and temporal distributions.