The impact of isolation on comorbidity of PTSD symptoms and depression: evidence from PTRP-5-6 in China.

BACKGROUND: The Omicron pandemic struck Shanghai, China, resulting in impairments of both physical and psychological health on those patients who were confirmed and transferred to the Fangcang shelters. The way of isolation led to high risk of posttraumatic stress symptoms (PTSS) and depressive symptoms among the patients in Fangcang shelters. We aim to estimate the prevalence and comorbidity of PTSS and depressive symptoms in patients from China's Fangcang shelters during the epidemic. METHODS: Demographic information questionnaire, the posttraumatic stress disorder checklist for DSM-5 (PCL-5), and Patient Health Questionnaire (PHQ-9) were used in the study. The data were collected online via mobile phones during 10th April to 20th April, 2022, as part of our Psychological Trauma Recover Project-5-6 (PTRP-5-6), a longitudinal study focusing on individuals who have experienced trauma. RESULTS: A total of 336 subjects were included in the analysis. The results revealed (1) the prevalence of depressive symptoms, and PTSS were 30.1% (cut-off = 10) and 6% (cut-off = 33); (2) Multiple logistic regression showed that female (OR = 3.04, p < 0.05), suffering from dyspnea (OR = 5.83, p < 0.05) or gastrointestinal symptoms (OR = 6.38, p < 0.05) were risk factors for PTSS; higher education level (OR = 3.27, p < 0.05) and suffering from dizziness or headache (OR = 2.46, p < 0.05) were risk factors for depressive symptoms; (3)Respectively, 85% of the patients who reported PTSS also experienced depressive symptoms, 16.8% of the patients who reported depressive symptoms presented PTSS. CONCLUSION: In the context of COVID-19, the comorbidity rate of PTSS and depressive symptoms among patients in Fangcang shelters increased with the severity of depressive symptoms.

Stigmatization related COVID-19 and PTSD among Chinese graduates.

BACKGROUND: Since COVID-19 broke out worldwide, it had caused extensive public health concerns and psychological distress, including PTSD and stigmatization towards recovered patients and people from high-risk areas. However, the association between PTSD, stigmatization and certain related factors have not been confirmed. METHODS: Through cluster random sampling, 946 Chinese graduates were investigated from 5 universities in Shanghai at three months after China lifted its coronavirus lockdown. PTSD symptoms were evaluated with PCL-5. Demographic and disease-related characteristics including stigmatization, educational attainment and working position were collected to assess their association with PTSD. RESULTS: 12.4% graduates were reported significant PTSD symptoms in PCL-5 screening with a cut-off of 33. Graduates with a Master's degree (P = 0.02) or working position like "looking for a job" and "planning to go abroad" (P = 0.038) showed severer stigmatization related to COVID-19. Stigmatization towards both patients recovering from COVID-19 and people from high-risk areas had significant association with PTSD symptoms. Multivariate linear regression analysis showed that stigmatization can explain 5% of variation of PCL-5 scores after controlling gender, age, educational attainments and working position. CONCLUSION: Graduates who were looking for jobs or preparing to go abroad showed more stigmatization related to COVID-19. There was a positive correlation between stigma against COVID-19 and PTSD symptoms. More attention should be paid to the mental health status of graduates who are preparing to go abroad or looking for jobs.

PTSD Among Shidu Parents in China: The Roles of Personality Types and Social Support.

Background: The psychological problems of Shidu Parents (SDP) under the China's One-Child Policy have been documented. The purpose of this study was to investigate the relationships among personality types, social support, and post-traumatic stress disorder (PTSD) in SDP. Methods: The PTSD Checklist-Civilian Version (PCL-C), The Big Five Personality Traits (NEO), and Social Support Revalued Scale (SSRS) were administered to the sample of 149 SDP who were over 50 years old and had lost their only child more than one year ago. Results: Among SDP, mothers were more likely to develop PTSD than fathers (χ2 = 11.16, p < 0.01). Parents who were extraverted had a lower risk of developing PTSD-related symptoms (χ2 = 8.58, p < 0.01), and the effect of neuroticism was significant (χ2 = 23.73, p < 0.01). The more social support parents utilized, the lower the incidence of PTSD (t = 4.56, p < 0.01). The result of multilevel linear regression showed that sex, neuroticism, and objective social support remained significantly different after combining all personality types and social support systems in the same model. Social support partially mediated the relationship between neuroticism and PTSD. Meanwhile, it was a complete mediator between extraversion and PTSD. Conclusions: Female sex/gender, neuroticism, and introversion were risk factors of developing PTSD, while receiving social support protected SDP from developing PTSD symptoms. Losing an only child is undoubtedly an enormous disaster for the family, which has become a huge, unavoidable social problem that must be addressed in China.

Military-related posttraumatic stress disorder and mindfulness meditation: A systematic review and meta-analysis.

PURPOSE: Posttraumatic stress disorder (PTSD) is a significant global mental health concern, especially in the military. This study aims to estimate the efficacy of mindfulness meditation in the treatment of military-related PTSD, by synthesizing evidences from randomized controlled trials. METHODS: Five electronic databases (Pubmed, EBSCO Medline, Embase, PsychINFO and Cochrane Library) were searched for randomized controlled trials focusing on the treatment effect of mindfulness meditation on military-related PTSD. The selection of eligible studies was based on identical inclusion and exclusion criteria. Information about study characteristics, participant characteristics, intervention details, PTSD outcomes, as well as potential adverse effects was extracted from the included studies. Risk of bias of all the included studies was critically assessed using the Cochrane Collaboration's tool. R Statistical software was performed for data analysis. RESULTS: A total of 1902 records were initially identified and screened. After duplicates removal and title & abstract review, finally, 19 articles in English language with 1326 participants were included through strict inclusion and exclusion criteria. The results revealed that mindfulness meditation had a significantly larger effect on alleviating military-related PTSD symptoms compared with control conditions, such as treatment as usual, present-centered group therapy and PTSD health education (standardized mean difference (SMD) = -0.33; 95% CI [-0.45, -0.21]; p < 0.0001). Mindfulness interventions with different control conditions (active or non-active control, SMD = -0.33, 95% CI [-0.46, -0.19]; SMD = -0.49, 95% CI [-0.88, -0.10], respectively), formats of delivery (group-based or individual-based, SMD = -0.30, 95% CI [-0.42, -0.17], SMD = -0.49, 95% CI [-0.90, -0.08], respectively) and intervention durations (short-term or standard duration, SMD = -0.27, 95% CI [-0.46, -0.08], SMD = -0.40, 95% CI [-0.58, -0.21], respectively) were equally effective in improving military-related PTSD symptoms. CONCLUSION: Findings from this meta-analysis consolidate the efficacy and feasibility of mindfulness meditation in the treatment of military-related PTSD. Further evidence with higher quality and more rigorous design is needed in the future.

PTSD: Past, present and future implications for China.

There has been a long history since human beings began to realize the existence of post-traumatic symptoms. Posttraumatic stress disorder (PTSD), a diagnostic category adopted in 1980 in the Diagnostic and Statistical Manual of Mental Disorders-Ⅲ, described typical clusters of psychiatric symptoms occurring after traumatic events. Abundant researches have helped deepen the understanding of PTSD in terms of epidemiological features, biological mechanisms, and treatment options. The prevalence of PTSD in general population ranged from 6.4% to 7.8% and was significantly higher among groups who underwent major public traumatic events. There has been a long way in the studies of animal models and genetic characteristics of PTSD. However, the high comorbidity with other stress-related psychiatric disorders and complexity in the pathogenesis of PTSD hindered the effort to find specific biological targets for PTSD. Neuroimage was widely used to elucidate the underlying neurophysiological mechanisms of PTSD. Functional MRI studies have showed that PTSD was linked to medial prefrontal cortex, anterior cingulate cortex and sub-cortical structures like amygdala and hippocampus, and to explore the functional connectivity among these brain areas which might reveal the possible neurobiological mechanism related to PTSD symptoms. For now, cognitive behavior therapy-based psychotherapy, including combination with adjunctive medication, showed evident treatment effects on PTSD. The emergence of more effective PTSD pharmacotherapies awaits novel biomarkers from further fundamental research. Several natural disasters and emergencies have inevitably increased the possibility of suffering from PTSD in the last two decades, making it critical to strengthen PTSD research in China. To boost PTSD study in China, the following suggestions might be helpful: (1) establishing a national psychological trauma recover project, and (2) exploring the mechanisms of PTSD with joint effort and strengthening the indigenized treatment of PTSD.

Risk factors for PTSD of Shidu parents who lost the only child in a rapid aging process: a cross-sectional study.

BACKGROUND: The elderly population is rising globally, especially in China where a large population base causes the largest number of older adults in the world. Notably, Shidu people who are over the age of 60 and have lost their only child have drawn great public attentions as they become more elderly, medically unstable and worse mentally unhealthy. Posttraumatic stress disorder (PTSD) is one of the most common consequences resulted from the loss of the only child. However, few previous studies have examined PTSD in Shidu older aldults, and the risk factors are a relatively understudied area. Our study aims to estimate the prevalence and potential risk factors of PTSD and improve the possibility of early identifying the high-risk Shidu parents with PTSD, and successively provide timely and effective interventions. METHOD: Based on the register of population statistic information provided by the health family planning commission, 149 participants were enrolled randomly. Data was collected by interviews and questionnaires. Socio-demographic and bereavement-related information and physical health outcomes were obtained. PTSD Checklist-Civilian Version was used to screen for bereavement-related PTSD. RESULT: The morbidity of PTSD reached 30.9%, while in the group of age over 60 the morbidity reached 31.6%. Stratified by potential demographic risk factors, SDPs have significant between-group differences of PTSD. Specially, being women, higher income, losing the single child at older age, more serious medical conditions and being Shidu for a shorter period indicated higher severity of PTSD in SDPs. The single child dying at a older age and from accidence were also significant indicators. Regression analysis showed the gender of SDPs, hospital visits, and the cause of child death significantly predicted the severity of PTSD. CONCLUSION: With the accelerate process of aging, especially in China, Shidu older adults become a group deserved more attentions. PTSD is clearly a possible reaction to the loss of the only child. The gender and hospital visits of the Shidu older adults and the causes of their child's death significantly related to the prevalence of PTSD, which could help to improve the possibility of early intervening.

Posttraumatic stress symptoms of health care workers during the corona virus disease 2019.

Corona virus disease 2019 (COVID-19) outbreak has attracted worldwide attention. The COVID-19 outbreak is unique in its rapid transmission and results in heavy stress for the front-line health care workers (HCWs). The current study aimed to exam posttraumatic stress symptoms (PTSSs) of HCWs fighting for the COVID-19 and to evaluate their sleep quality after 1-month stressful suffering. Three hundred seventy-seven HCWs working in different provinces of China participated in the survey between February 1 and 5. The demographic information was collected first. Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5) and the Pittsburgh Sleep Quality Index (PSQI) were selected to measure PTSSs and sleep quality. Results showed that 1 month after the outbreak, the prevalence of PTSSs was 3.8% in HCWs. Female HCWs were more vulnerable to PTSSs with hazard ratio of 2.136 (95% CI = 1.388-3.286). HCWs with higher exposure level also significantly rated more hyperarousal symptoms (hazard ratio = 4.026, 95% CI = 1.233-13.140). There was a significant difference of sleep quality between participants with and without PTSSs (z value = 6.014, p < .001) and among different groups with various contact frequencies (chi-square = 7.307, p = .026). Path analysis showed that there was a significant indirect effect from exposure level to PTSSs through sleep quality (coefficient = 1.750, 95% CI of Boostroop test = 0.543-2.998). In summary, targeted interventions on sleep contribute to the mental recovery during the outbreak of COVID-19. Understanding the mental health response after a public health emergency might help HCWs and communities prepare for a population's response to disaster.

An investigation of physical and mental health consequences among Chinese parents who lost their only child.

BACKGROUND: The term "loss-of-only-child family" means that the only child in a family passed away or is disabled due to an accident or other events. The parents who cannot conceive or do not adopt another child, are known as Shidu parents in China. This study compares the physical and mental health of Shidu parents with those parents who have not experienced such loss. METHODS: The target group is comprised of parents being Shidu for more than 1 year (N = 95) and the control group is comprised of parents with a living child (N = 97) from the same area as the Shidu parents. Socio-demographic information and physical health outcomes were collected by the adapted questionnaires. PCL-C (PTSD Checklist-Civilian Version), CES-D (Center for Epidemiological Studies Depression Scale) and GHQ-12 (General Health Questionnaire) were applied to evaluate the parents' physical and mental status. RESULTS: Shidu parents have a higher risk of developing PTSD and depression, and suffer more severe psychiatric disorders compared to parents with a living child. The rate of PTSD in the Shidu group was up to 32.6% and the scores of PCL-C are much higher than the control group. The physical status of Shidu parents were much worse than that of the control group, characterized by higher morbidity of chronic diseases and more hospital visits. CONCLUSIONS: Shidu parents have more severe mental health problems and a higher rate of chronic diseases than parents who have a living child. Loss of the only child is the most traumatic event for the parents, which is a serious and unique problem in Chinese society that deserves attention. More studies and support are desired to improve the physical and mental health of Shidu parents.

More fear reduction, better posttraumatic stress symptoms resilience: 1 year longitudinal study based on the psychological trauma recover project-5-6.

OBJECTIVE: The outbreak of COVID-19 not only raised public health concerns but also caused tremendous psychological distress. Deficits in fear played a role in the development and maintenance of posttraumatic stress symptoms (PTSS). We aimed to investigate the relationship between fear and PTSS during COVID-19 at two points. METHOD: The questionnaire at the first time of investigation (T1) was conducted through WeChat or phone from January 30, 2020 to February 25, 2020 as part of the psychological trauma recover project-5-6 in China. And the questionnaire at the second time of investigation (T2) was collected from March 17, 2021 to June 17, 2021. After 12 months, data from 150 participants were included in the final analysis. Fear was measured by a self-reported question. Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5) was designed to assess PTSS. Pearson correlation, multivariate regression analysis, and multiple mediator model were used as statistical analyses. RESULTS: Fear reduced significantly over time. Participants with higher fear presented worse PTSS in both T1 and T2. Positive correlations between fear and PTSS of participants were found over time. Occupation and change of fear are significant predictors in the severity of PTSS over time. Change of fear partially mediated the relationship between the PCL-5 total score in T1 and the development of PTSS. CONCLUSION: Fear reduction was beneficial to trauma resilience. Future interventions could be developed to reduce excessive fear in facing natural disasters or following epidemics. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Sex-based differences in brain morphometry under chronic stress: A pilot MRI study.

Background: Sex-based differences are known to be a significant feature of chronic stress; however, the morphological mechanisms of the brain underlying these differences remain unclear. The present study aimed to use magnetic resonance imaging (MRI) and voxel-based morphometry (VBM) to investigate the effects of sex on gray matter volume (GMV) changes under conditions of chronic stress. Methods: A total of 32 subjects were included for analysis in the present study: 16 participants experiencing chronic stress and 16 healthy controls. T1-weighted (T1WI) images from a 3 T MRI scanner were extracted from the OpenfMRI database. Images were segmented into gray matter using VBM analysis. A two-way analysis of variance (ANOVA) with a 2 × 2 full factorial design was used to evaluate the main and interaction effects of chronic stress and sex on GMV changes, and then post hoc testing was used to verify each simple effect. Results: Two-way ANOVA showed a chronic stress × sex interaction effect on GMV. Simple effects analysis indicated that the GMV of the bilateral pre- and post-central gyri, the right cuneus and superior occipital gyrus was decreased in males, whereas that of the bilateral pre- and post-central gyri, the right superior occipital gyrus and the left middle frontal gyrus and orbital middle frontal gyrus was increased in females, under chronic stress. Additionally, in the control group, the GMV of the bilateral pre- and post-central gyri, the right cuneus and superior occipital gyrus was greater in males than females. While in the chronic stress group, the above sex-based differences were no longer significant. Conclusions: This study preliminarily shows that there are significant differences in gray matter volume changes between males and females under chronic stress. These findings provide a basis for future studies investigating the volumetric mechanisms of sex differences under chronic stress.

The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis.

Posttraumatic stress disorder (PTSD) recently becomes one of the most important mental health concerns. However, no previous study has comprehensively reviewed the application of big data and machine learning (ML) techniques in PTSD. We found 873 studies meet the inclusion criteria and a total of 31 of those in a sample of 210,001 were included in quantitative analysis. ML algorithms were able to discriminate PTSD with an overall accuracy of 0.89. Pooled estimates of classification accuracy from multi-dimensional data (0.96) are higher than single data types (0.86 to 0.90). ML techniques can effectively classify PTSD and models using multi-dimensional data perform better than those using single data types. While selecting optimal combinations of data types and ML algorithms to be clinically applied at the individual level still remains a big challenge, these findings provide insights into the classification, identification, diagnosis and treatment of PTSD.

Network analysis of the comorbidity between post-traumatic stress, depression and anxiety symptoms among frontline healthcare workers during the COVID-19 pandemic.

Background: Coronavirus disease 2019 pandemic pointed out significant mental symptoms of frontline healthcare workers (HCWs). Objective: We aimed to estimate the prevalence and comorbidity of post-traumatic stress symptoms (PTSS), depression and anxiety symptoms in HCWs from Fangcang shelter hospitals during the pandemic. Design: Demographic information, post-traumatic stress disorder checklist for DSM-5 (PCL-5), Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder Questionnaire (GAD-7) were obtained online based on stratified random sampling design during April 2022, with 284 eligible responses. Method: Hierarchical regression analyses were applied to investigate independent variables associated with psychological status outcomes (PHQ-9, GAD-7 and PCL-5), and the network analyses were applied to explore the comorbidity using all items of PCL-5, PHQ-9 and GAD-7. Results: (1) 10.56%, 13.03% and 8.10% of HCWs reported PTSS, depression and anxiety symptoms. Fifty-three (18.66%) HCWs experienced at least one mental health disorder, among which 26.42-37.74% HCWs had comorbidity of two or three mental disorders; (2) several influence factors of mental health were identified, including medical professions, working hours, contacted patients (p < 0.05); (3) prominent bridge symptoms between PTSS and depression were sleep problems, suicide ideation, concentration difficulties and recklessness. Comorbidity between PTSS and anxiety was thought to mainly stem from negative affect, such as afraid, anxious, annoyed and worrying. Depressed mood and worry might be good targets during treatment of comorbidity of depression and anxiety. Conclusion: Our data suggest mild level of PTSS, depression and anxiety symptoms among HCWs during the pandemic and might give novel insights into assessment and intervention of comorbidity.

Machine learning methods to discriminate posttraumatic stress disorder: A protocol of systematic review and meta-analysis.

Introduction: Recent years have witnessed a persistent threat to public mental health, especially during and after the COVID-19 pandemic. Posttraumatic stress disorder (PTSD) has emerged as a pivotal concern amidst this backdrop. Concurrently, machine learning (ML) techniques have progressively applied in the realm of mental health. Therefore, our present undertaking seeks to provide a comprehensive assessment of studies employing ML methods that use diverse data modalities on the classification of people with PTSD. Methods and analysis: In pursuit of pertinent studies, we will search both English and Chinese databases from January 2000 to May 2022. Two researchers will independently conduct screening, extract data and assess study quality. We intend to employ the assessment framework introduced by Luis Francisco Ramos-Lima in 2020 for quality evaluation. Rate, standard error and 95% CIs will be utilized for effect size measurement. A Cochran's Q test will be applied to assess heterogeneity. Subgroup and sensitivity analysis will further elucidate the source of heterogeneity and funnel plots and Egger's test will detect publication bias. Ethics and dissemination: This systematic review and meta-analysis does not encompass patient interactions or engagements with healthcare providers. The outcomes of this research will be disseminated through scholarly channels, including presentations at scientific conferences and publications in peer-reviewed journals.PROSPERO registration number CRD42023342042.

One-quarter of COVID-19 patients developed PTSD symptoms: A one-year longitudinal study.

This study investigated the longitudinal development of PTSD symptoms and respiratory sequelae among COVID-19 patients one year after hospital discharge. The cumulative occurrence of probable PTSD in COVID-19 survivors (n = 329) was 26.7%, which significantly decreased over the 12-month period (23.1% to 4.3%). Non-severe patients showed marked improvement in all four clusters of PTSD symptoms at 12 months compared to 3 months, while severe patients only showed improvements in re-experiencing and numbing symptoms. Moreover, being female and having respiratory sequelae increased the risk for chronic PTSD. Psychological interventions are required for COVID-19 patients during long-term convalescence.

Post-traumatic stress disorder in patients with rheumatic disease during the COVID-19 outbreak: a cross-sectional case-control study in China.

OBJECTIVE: The COVID-19 pandemic is not only a traumatic event, but a collective stressor unfolding over time, causing devastating implications for the mental health. This study aimed to shed light on the mental health status of patients with rheumatic disease (RD) during the massive outbreak of COVID-19 in China, especially the prevalence and severity of post-traumatic stress disorder (PTSD) compared with healthy individuals. METHODS: A total of 486 patients with RD and 486 age-matched and sex-matched healthy individuals were recruited into the study. For each participant, we collected demographic and clinical characteristics data. The PTSD Checklist for DSM-5 (PCL-5) and four items from the Pittsburgh Sleep Quality Index (PSQI) were used to investigate the prevalence and severity of PTSD and sleep quality, respectively. RESULTS: Compared with healthy control subjects (n=486), patients with RD (n=486) had a higher prevalence of PTSD (12.1% vs 4.1%; p<0.001). Higher total scores on the PCL-5 and on all four items from the PSQI (p≤0.001) were also observed. Female, old age, poor sleep quality, long duration of RD, poor subjective evaluation of the disease and pessimistic subjective perception of the epidemic were identified as risk factors of PTSD in patients with RD during the COVID-19 epidemic. CONCLUSION: During the COVID-19 outbreak, patients with RD presented a higher prevalence and severity of PTSD and showed more sleep disturbances. Our findings confirm the importance of psychological assessment and mental healthcare out of regular clinical care for patients with RD during the pandemic.

The increase of PTSD in front-line health care workers during the COVID-19 pandemic and the mediating role of risk perception: a one-year follow-up study.

The long-term health consequences of the COVID-19 pandemic on health care workers (HCWs) are largely unclear. The purpose of the present study was to investigate the development of posttraumatic stress disorder (PTSD) in HCWs in a longitudinal manner. Additionally, we further explored the role of risk perception in the evolution of PTSD over time based on a one-year follow-up study. HCWs were recruited from hospitals in Guangdong, China. Demographic information, the PTSD checklist for DSM-5 (PCL-5) and the risk perception questionnaire were obtained online at two different time points: May to June 2020 (T1), with 317 eligible responses, and June 2021 (T2), with 403 eligible responses. Seventy-four HCWs participated in the survey at both T1 and T2. The results revealed that (1) the PTSD prevalence rate in the HCWs (cut-off = 33) increased from 10.73% at T1 to 20.84% at T2, and the HCWs reported significantly higher PTSD scores at T2 than at T1 (p < 0.001); (2) risk perception was positively correlated with PTSD (p < 0.001); and (3) PTSD at T1 could significantly positively predict PTSD at T2 (ß = 2.812, p < 0.01), and this longitudinal effect of PTSD at T1 on PTSD at T2 was mediated by risk perception at T2 (coefficient = 0.154, 95% CI = 0.023 to 0.297). Our data provide a snapshot of the worsening of HCWs' PTSD along with the repeated pandemic outbreaks and highlight the important role of risk perception in the development of PTSD symptoms in HCWs over time.

The prevalence of PTSS under the influence of public health emergencies in last two decades: A systematic review and meta-analysis.

BACKGROUND: Since the beginning of 21st century, several major public health emergencies (PHEs) have threatened the health of people globally. Posttraumatic stress symptoms (PTSS) was one of the most concerned mental health problems. The objective of this study is to systematically estimate the prevalence of PTSS under the influence of PHEs. METHOD: We searched both English and Chinese databases. This meta-analysis used a random-effects model to estimate the prevalence of PTSS. Subgroup analyses were conducted to analyze the source of heterogeneity. Meta-regression model was used to calculate the proportion of the variance explained by subgroup moderators. RESULTS: Forty eligible studies (n = 15,538) were identified. The results revealed a pooled prevalence of PTSS of 17.0% (95%CI: 13.5%-21.2%), higher than that of previous epidemiological survey, with high between-studies heterogeneity (Q = 1199, I2 = 96.75%, p < .001). There was variance of prevalence in different countries (4.0%-36.5%) and epidemics (12.1%-36.5%). The prevalence of PTSS showed the feature of fluctuation in the change of time (Q = 6.173, p = .290). Patients had higher prevalence (26.2%) compared to healthcare workers (HCWs) (18.5%) and community samples (12.4%) and frontline HCWs had marginally significantly higher estimated rate than general HCWs (22.2%, 95%CI:16.0%-30.1% vs. 10.4%, 95%CI: 6.4%-16.6%). The variance of prevalence screened by interview and self-reported was significant (Q = 3.393, p = .05) and studies with higher quality possessed lower prevalence (high:12.4%; moderate: 17.3%; low: 18.0%). The total variance explained by subgroup moderators was estimated 64% by meta regression model. LIMITATIONS: Limitations include high level of heterogeneity between studies and within subgroups as well as the lack of studies with high quality and using probability sampling. CONCLUSIONS: This study suggested that the PTSS was common under the influence of PHEs. It was crucial to further explore the psychological mechanism and effective strategies for prevention and intervention in future research with more high-quality studies.

Is Higher Subjective Fear Predictive of Post-Traumatic Stress Symptoms in a Sample of the Chinese General Public?

Background: COVID-19 has taken a huge toll on medical resources and the economy and will inevitably have an impact on public mental health. Post-traumatic stress disorder (PTSD), as the most common mental illness after an epidemic, must be seriously addressed. This study aimed to investigate the subjective fear of the Chinese general public during COVID-19 and to explore how it affected the development of PTSD. Methods: An online questionnaire survey was conducted among 1,009 people from January 30 to February 14, 2020 (about 1 month after the COVID-19 outbreak). The subjective fear was measured by a self-reported single-choice question. Four items from the Pittsburgh Sleep Quality Index (PSQI) were selected to measure the subjects' sleep quality. Their post-traumatic stress symptoms (PTSS) were measured by the PTSD Checklist for DSM-5 (PCL-5). Pearson correlation, hierarchical multivariate regression analysis, multiple mediator model, and bootstrapping were used in statistical analyses. Results: Different people showed different levels of subjective fear in response to the outbreak. There was a significant positive correlation between subjective fear and the total score of PCL-5 (R = 0.513, P < 0.01), meaning that the higher the degree of subjective fear, the more severe the symptoms of post-traumatic stress are. Subjective fear was an important predictor of PTSS, accounting for 24.3% of the variance. The total effect of subjective fear on PCL-5 scores was significant (total effect = 7.426, SE = 0.405, 95% CI = 6.631-8.221). The total indirect effect of subjective fear on PCL-5 scores through sleep quality was also significant (total indirect effect = 1.945, SE = 0.258, 95% CI = 1.436-2.470). Conclusions: Subjective fear has an important predictive effect on PTSS. In addition to the direct effect, our findings firstly demonstrate the mediating role of sleep quality in the relationship between subjective fear and PTSS.

PTSD Symptoms and Sleep Quality of COVID-19 Patients During Hospitalization: An Observational Study from Two Centers.

BACKGROUND: The outbreak of COVID-19 has developed into a pandemic. Data are required that specifically address the psychological consequences in COVID-19 confirmed patients. This study mainly aimed to examine posttraumatic stress disorder (PTSD) symptoms and sleep quality among COVID-19 confirmed patients during hospitalization. METHODS: An observational study was conducted in two designated hospitals in Wuhan, China. Data were collected from 190 patients hospitalized with laboratory-confirmed COVID-19 infection between February 10, 2020 and March 13, 2020. RESULTS: The mean age of the 190 confirmed patients was 55.7 years (SD = 13.7), of which 96 (50.5%) were female and 88 (46.3%) had family members or acquaintances infected with COVID-19. Lymphocytopenia was presented in 62 (32.6%) patients and 25 (13.2%) patients showed oxygen desaturation. The prevalence of high PTSD symptoms was 22.6% among the 190 patients. The median time from symptom onset to first medical visit and hospitalization was 2 days (IQR, 1-5) and 16 days (IQR, 10-27), respectively. Patients' PTSD symptoms were positively related to the time from symptom onset to first medical visit (r = 0.156, p < 0.05) and hospitalization (r = 0.181, p < 0.01). There were significant correlations between sleep quality and PTSD symptoms (r = 0.312-0.547, p < 0.01). CONCLUSION: The prevalence of high PTSD symptoms was 22.6% among hospitalized COVID-19 patients. Early diagnosis and treatment of COVID-19 symptoms are beneficial to infected patients both physically and psychologically. With the recovery of physical symptoms, psychological intervention is desired to promote the trauma recovery in COVID-19 patients.

Prevalence and risk factors for acute posttraumatic stress disorder during the COVID-19 outbreak.

BACKGROUND: To examine the prevalence of and risk factors for acute posttraumatic stress disorder (PTSD) shortly after the massive outbreak of COVID-19 in China. METHODS: An online anonymous survey was conducted between 30 January and 3 February, 2020. The survey included two self-administered questionnaires: one collected personal information (gender, age, education background), current location, recent epidemic area contact history, the classification of population, and subjective sleep quality; the other was the PTSD Checklist for DSM-5 (PCL-5). RESULTS: A total of 2091 Chinese participated in the current study. The prevalence of PTSD among the Chinese public one month after the COVID-19 outbreak was 4.6%. Multiple linear regression analysis revealed that gender (p < 0.001), epidemic area contact history (p = 0.047), classification of population (p < 0.001), and subjective sleep quality (p < 0.001) could be regarded as predictors for PTSD. LIMITATIONS: First, the majority of participants in this study were the general public, with confirmed or suspected patients being a small part. Second, the measurement of PTSD in this study might be vulnerable to selection bias because of an online self-report study, such as participants' recruitment. Third, the prevalence of PTSD in this study was estimated by an online questionnaire rather than a clinical interview. CONCLUSIONS: The results suggested that some Chinese showed acute PTSD during the COVID-19 outbreak. Therefore, comprehensive psychological intervention needs further implementation. Furthermore, females, people who had recent epidemic area contact history, those at high risk of infection or with poor sleep quality deserve special attention.