COVID-19-associated impact and post-traumatic stress symptoms 39 days after pandemic in a sample of home-quarantined Chinese college students: the mediating effecting of past stressful events, psychological resilience, and social support.

BACKGROUND: During the COVID-19 outbreak, most Chinese college students were home-quarantined to prevent the spread of the virus. COVID-19-associated impact has been shown to be a risk factor for the development of post-traumatic symptoms disorder (PTSD). However, little is known about the psychological processes that mediate this association. This study investigated the association between COVID-19-associated impact and PTSD and examined whether past stressful events, psychological resilience, and social support have mediating effects on this association. METHODS: The 12,397 valid responses from 31cities in China via an online survey assessed PTSD symptoms, past stressful events, psychological resilience, social support and social-demographic variables. AMOS was used to test the hypotheses of mediating effects. RESULTS: On the 39th day of the declared COVID-19 epidemic in China, 6.75% of the surveyed sample showed PTSD symptoms. A positive mediating effect of past stressful events was found between COVID-19-associated impact and PTSD, whereas psychological resilience and social support had negative mediating effects. The fit indices for the path model were found to be significant (ß = 0.28, p < 0.001), COVID-19-associated impact indirectly affects the risk of PTSD through mediating pathways (past stressful events → psychological resilience → social support) on PTSD. CONCLUSIONS: Attention should be paid to the effects of past stressful events of Chinese college students who were home-quarantined during the COVID-19 epidemic, and strategies should also be implemented to improve social support and develop psychological resilience. TRIAL REGISTRATION: The study was approved by the ethics committee of the Southwest Minzu University.

An Online Survey on the Relationship Between Positive Coping and Post-Traumatic Stress Symptoms (PTSS) of Medical Students in China During the COVID-19 Pandemic: The Mediating Role of Social Support.

BACKGROUND The COVID-19 pandemic has caused varying degrees of psychological stress among medical students. This research explored the post-traumatic stress symptoms (PTSS) of medical students in China and their relationship with positive coping and social support. MATERIAL AND METHODS In the form of cross-sectional online survey, 2280 medical students locked down at home were selected by random cluster method to investigate social support, coping style, and PTSS using the Social Support Rating Scale (SSRS), Simplified Coping Style Questionnaire (SCSQ), and Post-traumatic Stress Disorder (PTSD) Checklist-Civilian Version (PCL-C), respectively. RESULTS This research found that the PTSS detection rate in medical students was 10.42% during the COVID-19 pandemic. The PTSS scores of females were significantly higher than that of the males. However, the PTSS detection rate in females (9.71%) was not significantly different from that in males (11.24%). Compared with those of the non-PTSS group, the total score and its all-factor score of social support, the total score of coping style and the positive coping score of the PTSS group were much lower, while the negative coping score of the PTSS group was much higher (P<0.01). Positive coping was positively correlated with social support, while positive coping and social support were negatively correlated with PTSS. The total effect of positive coping on PTSS was -0.310 (P<0.001), the direct effect was -0.128 (P<0.01), and the indirect effect was -0.182 (P<0.001). Social support played a mediating role between positive coping and PTSS, with the mediating effect accounting for 58.81% of the total effect. CONCLUSIONS Social support plays a mediating role between positive coping and post-traumatic stress symptoms. Objective support and positive coping are the 2 main protective factors of PTSS.

One Year Later: Family Members of Patients with COVID-19 Experience Persistent Symptoms of Posttraumatic Stress Disorder.

Rationale: Family members of critically ill patients with coronavirus disease (COVID-19) have described increased symptoms of posttraumatic stress disorder (PTSD). Little is known about how these symptoms may change over time. Objectives: We studied changes in PTSD symptoms in family members of critically ill patients with COVID-19 over 12 months. Methods: This prospective, multisite observational cohort study recruited participants at 12 hospitals in five states. Calls were made to participants at 3-4 months, 6 months, and 12 months after patient admission to the intensive care unit. Results: There were 955 eligible family members, of whom 330 (53.3% of those reached) consented to participate. Complete longitudinal data was acquired for 115 individuals (34.8% consented). PTSD symptoms were measured by the IES-6 (Impact of Events Scale-6), with a score of at least 10 identifying significant symptoms. At 3 months, the mean IES-6 score was 11.9 ± 6.1, with 63.6% having significant symptoms, decreasing to 32.9% at 1 year (mean IES-6 score, 7.6 ± 5.0). Three clusters of symptom evolution emerged over time: persistent symptoms (34.8%, n = 40), recovered symptoms (33.0%, n = 38), and nondevelopment of symptoms (32.2%, n = 37). Although participants identifying as Hispanic demonstrated initially higher adjusted IES-6 scores (2.57 points higher [95% confidence interval (CI), 1.1-4.1; P < 0.001]), they also demonstrated a more dramatic improvement in adjusted scores over time (4.7 greater decrease at 12 months [95% CI, 3.2-6.3; P < 0.001]). Conclusions: One year later, some family members of patients with COVID-19 continue to experience significant symptoms of PTSD. Further studies are needed to better understand how various differences contribute to increased risk for these symptoms.

Prevalence of Depression, Anxiety, Post-Traumatic Stress, and Insomnia Symptoms Among Frontline Healthcare Workers in a COVID-19 Hospital in Northeast Mexico.

OBJECTIVE: Frontline healthcare workers (FHCWs) exposed to COVID-19 patients are at an increased risk of developing psychological burden. This study aims to determine the prevalence of mental health symptoms and associated factors among Mexican FHCWs attending COVID-19 patients. METHODS: FHCWs, including attending physicians, residents/fellows, and nurses providing care to COVID-19 patients at a private hospital in Monterrey, Mexico, were invited to answer an online survey between August 28, and November 30, 2020. Symptoms of depression, anxiety, post-traumatic stress, and insomnia were evaluated with the Patient Health Questionnaire (PHQ)-9, Generalized Anxiety Disorder (GAD)-7, Impact of Event Scale-Revised (IES-R), and Insomnia Severity Index (ISI). Multivariate analysis was performed to identify variables associated with each outcome. RESULTS: 131 FHCWs, 43.5% attending physicians, 19.8% residents/fellows, and 36.6% nurses were included. The overall prevalence of depression, anxiety, post-traumatic stress, and insomnia was 36%, 21%, 23%, and 24% respectively. Multivariate analysis revealed that residents/fellows and nurses reported more depression and insomnia than attending physicians. Although not significant, residents/fellows were more likely to experience all symptoms than nurses. CONCLUSIONS: Mexican FHCWs, especially nurses and residents/fellows, experienced a significant psychological burden while attending to COVID-19 patients. Tailored interventions providing support to FHCWs during future outbreaks are required.

Incidence, Risk Factors, and Consequences of Post-Traumatic Stress Disorder Symptoms in Survivors of COVID-19-Related ARDS.

Purpose: To assess the prevalence of symptoms of Post-Traumatic Stress Disorder (PTSD) in survivors of COVID-19 Acute Respiratory Distress Syndrome that needed ICU care; to investigate risk factors and their impact on the Health-Related Quality of life (HR-QoL). Materials and Methods: This multicenter, prospective, observational study included all patients who were discharged from the ICU. Patients were administered the European Quality of Life 5 Dimensions 5 Level Version (EQ-5D-5L) questionnaire, the Short-Form Health Survey 36Version 2 (SF-36v2), a socioeconomic question set and the Impact of Event Scale-Revised (IES-R) to assess PTSD. Results: The multivariate logistic regression model found that an International Standard Classification of Education Score (ISCED) higher than 2 (OR 3.42 (95% CI 1.28-9.85)), monthly income less than EUR 1500 (OR 0.36 (95% CI 0.13-0.97)), and more than two comorbidities (OR 4.62 (95% CI 1.33-16.88)) are risk factors for developing PTSD symptoms. Patients with PTSD symptoms are more likely to present a worsening in their quality of life as assessed by EQ-5D-5L and SF-36 scales. Conclusion: The main factors associated with the development of PTSD-related symptoms were a higher education level, a lower monthly income, and more than two comorbidities. Patients who developed symptoms of PTSD reported a significantly lower Health-Related Quality of life as compared to patients without PTSD. Future research areas should be oriented toward recognizing potential psychosocial and psychopathological variables capable of influencing the quality of life of patients discharged from the intensive care unit to better recognize the prognosis and longtime effects of diseases.

Mental Health Risks after Repeated Exposure to Multiple Stressful Events during Ongoing Social Unrest and Pandemic in Hong Kong: The Role of Rumination: Risques pour la santé mentale après une exposition répétée à de multiples événements stressants d'agitation sociale durable et de pandémie à Hong Kong: le rôle de la rumination.

OBJECTIVES: The co-occurrence of different classes of population-level stressors, such as social unrest and public health crises, is common in contemporary societies. Yet, few studies explored their combined mental health impact. The aim of this study was to examine the impact of repeated exposure to social unrest-related traumatic events (TEs), coronavirus disease 2019 (COVID-19) pandemic-related events (PEs), and stressful life events (SLEs) on post-traumatic stress disorder (PTSD) and depressive symptoms, and the potential mediating role of event-based rumination (rumination of TEs-related anger, injustice, guilt, and insecurity) between TEs and PTSD symptoms. METHODS: Community members in Hong Kong who had utilized a screening tool for PTSD and depressive symptoms were invited to complete a survey on exposure to stressful events and event-based rumination. RESULTS: A total of 10,110 individuals completed the survey. Hierarchical regression analysis showed that rumination, TEs, and SLEs were among the significant predictors for PTSD symptoms (all P < 0.001), accounting for 32% of the variance. For depression, rumination, SLEs, and PEs were among the significant predictors (all P < 0.001), explaining 24.9% of the variance. Two-way analysis of variance of different recent and prior TEs showed significant dose-effect relationships. The effect of recent TEs on PTSD symptoms was potentiated by prior TEs (P = 0.005). COVID-19 PEs and prior TEs additively contributed to PTSD symptoms, with no significant interaction (P = 0.94). Meanwhile, recent TEs were also potentiated by SLEs (P = 0.002). The effects of TEs on PTSD symptoms were mediated by rumination (ß = 0.38, standard error = 0.01, 95% confidence interval: 0.36 to 0.41), with 40.4% of the total effect explained. All 4 rumination subtypes were significant mediators. CONCLUSIONS: Prior and ongoing TEs, PEs, and SLEs cumulatively exacerbated PTSD and depressive symptoms. The role of event-based rumination and their interventions should be prioritized for future research.

Is COVID-19 Associated With Posttraumatic Stress Disorder?

OBJECTIVE: To assess the prevalence of and risk factors for posttraumatic stress disorder (PTSD) in patients with COVID-19. METHODS: We conducted a cohort study between March and May 2020 at the Lille University Hospital (France), including all patients with laboratory-confirmed COVID-19. Psychological distress symptoms were measured 3 weeks after onset of COVID-19 symptoms using the Impact of Event Scale-6 items (IES-6). The evaluation of PTSD symptoms using the PTSD Checklist for DSM-5 (PCL-5) took place 1 month later. Bivariate analyses were performed to analyze the relationship between PCL-5 scores and the demographic and health variables. The significant variables were then introduced into a multivariable linear regression analysis to establish their relative contributions to the severity of PTSD symptoms. RESULTS: 180 patients were included in this study, and 138 patients completed the 2 evaluations. Among the 180 patients, 70.4% patients required hospitalization, and 30.7% were admitted to the intensive care unit. The prevalence of PTSD was 6.5%, and the predictive factors of PTSD included psychological distress at the onset of the illness and a stay in an intensive care unit. CONCLUSIONS: The prevalence of PTSD in patients with COVID-19 is not as high as that reported among patients during previous epidemics. Initial psychological responses were predictive of a PTSD diagnosis, even though most patients showing acute psychological distress (33.5% of the sample) improved in the following weeks. PTSD symptoms also increased following a stay in an intensive care unit. Future studies should assess the long-term consequences of COVID-19 on patients' mental health.

Neurological and (neuro)psychological sequelae in intensive care and general ward COVID-19 survivors.

BACKGROUND AND PURPOSE: Coronavirus disease 2019 (COVID-19) affects the brain, leading to long-term complaints. Studies combining brain abnormalities with objective and subjective consequences are lacking. Long-term structural brain abnormalities, neurological and (neuro)psychological consequences in COVID-19 patients admitted to the intensive care unit (ICU) or general ward were investigated. The aim was to create a multidisciplinary view on the impact of severe COVID-19 on functioning and to compare long-term consequences between ICU and general ward patients. METHODS: This multicentre prospective cohort study assessed brain abnormalities (3 T magnetic resonance imaging), cognitive dysfunction (neuropsychological test battery), neurological symptoms, cognitive complaints, emotional distress and wellbeing (self-report questionnaires) in ICU and general ward (non-ICU) survivors. RESULTS: In al, 101 ICU and 104 non-ICU patients participated 8-10 months post-hospital discharge. Significantly more ICU patients exhibited cerebral microbleeds (61% vs. 32%, p < 0.001) and had higher numbers of microbleeds (p < 0.001). No group differences were found in cognitive dysfunction, neurological symptoms, cognitive complaints, emotional distress or wellbeing. The number of microbleeds did not predict cognitive dysfunction. In the complete sample, cognitive screening suggested cognitive dysfunction in 41%, and standard neuropsychological testing showed cognitive dysfunction in 12%; 62% reported ≥3 cognitive complaints. Clinically relevant scores of depression, anxiety and post-traumatic stress were found in 15%, 19% and 12%, respectively; 28% experienced insomnia and 51% severe fatigue. CONCLUSION: Coronavirus disease 2019 ICU survivors had a higher prevalence for microbleeds but not for cognitive dysfunction compared to general ward survivors. Self-reported symptoms exceeded cognitive dysfunction. Cognitive complaints, neurological symptoms and severe fatigue were frequently reported in both groups, fitting the post-COVID-19 syndrome.

Multisite randomised controlled trial of trauma-focused cognitive behaviour therapy for psychosis to reduce post-traumatic stress symptoms in people with co-morbid post-traumatic stress disorder and psychosis, compared to treatment as usual: study protocol for the STAR (Study of Trauma And Recovery) trial.

BACKGROUND: People with psychosis have high rates of trauma, with a post-traumatic stress disorder (PTSD) prevalence rate of approximately 15%, which exacerbates psychotic symptoms such as delusions and hallucinations. Pilot studies have shown that trauma-focused (TF) psychological therapies can be safe and effective in such individuals. This trial, the largest to date, will evaluate the clinical effectiveness of a TF therapy integrated with cognitive behaviour therapy for psychosis (TF-CBTp) on post-traumatic stress symptoms in people with psychosis. The secondary aims are to compare groups on cost-effectiveness; ascertain whether TF-CBTp impacts on a range of other meaningful outcomes; determine whether therapy effects endure; and determine acceptability of the therapy in participants and therapists. METHODS: Rater-blind, parallel arm, pragmatic randomised controlled trial comparing TF-CBTp + treatment as usual (TAU) to TAU only. Adults (N = 300) with distressing post-traumatic stress and psychosis symptoms from five mental health Trusts (60 per site) will be randomised to the two groups. Therapy will be manualised, lasting 9 months (m) with trained therapists. We will assess PTSD symptom severity (primary outcome); percentage who show loss of PTSD diagnosis and clinically significant change; psychosis symptoms; emotional well-being; substance use; suicidal ideation; psychological recovery; social functioning; health-related quality of life; service use, a total of four times: before randomisation; 4 m (mid-therapy); 9 m (end of therapy; primary end point); 24 m (15 m after end of therapy) post-randomisation. Four 3-monthly phone calls will be made between 9 m and 24 m assessment points, to collect service use over the previous 3 months. Therapy acceptability will be assessed through qualitative interviews with participants (N = 35) and therapists (N = 5-10). An internal pilot will ensure integrity of trial recruitment and outcome data, as well as therapy protocol safety and adherence. Data will be analysed following intention-to-treat principles using generalised linear mixed models and reported according to Consolidated Standards of Reporting Trials-Social and Psychological Interventions Statement. DISCUSSION: The proposed intervention has the potential to provide significant patient benefit in terms of reductions in distressing symptoms of post-traumatic stress, psychosis, and emotional problems; enable clinicians to implement trauma-focused therapy confidently in this population; and be cost-effective compared to TAU through reduced service use. TRIAL REGISTRATION: ISRCTN93382525 (03/08/20).

Posttraumatic Stress Symptoms Among COVID-19 Survivors After Hospitalization.

OBJECTIVE: Limited data are available on posttraumatic stress symptoms (PTSS) among COVID-19 survivors. This study aimed to contribute to this knowledge base. METHODS: PTSS among COVID-19 survivors who had been hospitalized were investigated. Patients were identified as COVID-19 positive at hospital admission. COVID-19 survivors were surveyed with the Posttraumatic Stress Disorder Checklist (PCL-5) between March and October 2020 at 5- and 12-month postdischarge follow-up points. RESULTS: Of 411 patients, 331 (81%) survived to hospital discharge. Of these survivors, 83 (25%) completed the PCL-5 at the 5-month follow-up. Of those patients, 12 (14%) screened positive for PTSS. At the 12-month follow-up, four of eight patients remained PTSS positive. Mean age of follow-up participants was 62±15 years; 47% were women, 65% were White, and 63% were Hispanic. PTSS-positive patients were predominantly non-White (67% vs. 30%, p=0.02), and although the differences were not statistically significant, these patients tended to be younger (56 vs. 63 years, p=0.08) and have shorter intensive care unit stays (2.0 vs. 12.5 days, p=0.06). PTSS-positive and PTSS-negative groups did not differ significantly in prehospitalization neurological diagnoses (11% vs. 8%), psychiatric diagnoses (17% vs. 21%), and intensive care admission status (25% vs. 25%). More patients in the PTSS-positive group had returned to the emergency department (50% vs. 14%, p<0.01) and reported fatigue at follow-up (100% vs. 42%, p<0.001). In the multivariate logistic regression model, non-White race (OR=11, 95% CI=2-91) and returning to the emergency department (OR=19, 95% CI=3-252) were associated with PTSS-positive status. CONCLUSION: PTSS were twice as common among hospitalized COVID-19 survivors than among those in the general population.

Development of Moral Injury in ICU Professionals During the COVID-19 Pandemic: A Prospective Serial Interview Study.

OBJECTIVES: During the COVID-19 pandemic, ICU professionals have faced moral problems that may cause moral injury. This study explored whether, how, and when moral injury among ICU professionals developed in the course of the COVID-19 pandemic. DESIGN: This is a prospective qualitative serial interview study. SETTING: Two hospitals among which one university medical center and one teaching hospital in the Netherlands. SUBJECTS: Twenty-six ICU professionals who worked during the COVID-19 pandemic. INTERVENTIONS: None. MEASUREMENTS MAIN RESULTS: In-depth interviews with follow-up after 6 and 12 months. In total, 62 interviews were conducted. ICU professionals narrated about anticipatory worry about life and death decisions, lack of knowledge and prognostic uncertainty about COVID-19, powerlessness and failure, abandonment or betrayal by society, politics, or the healthcare organization, numbness toward patients and families, and disorientation and self-alienation. Centrally, ICU professionals describe longitudinal processes by which they gradually numbed themselves emotionally from patients and families as well as potentially impactful events in their work. For some ICU professionals, organizational, societal, and political responses to the pandemic contributed to numbness, loss of motivation, and self-alienation. CONCLUSIONS: ICU professionals exhibit symptoms of moral injury such as feelings of betrayal, detachment, self-alienation, and disorientation. Healthcare organizations and ICU professionals themselves should be cognizant that these feelings may indicate that professionals might have developed moral injury or that it may yet develop in the future. Awareness should be raised about moral injury and should be followed up by asking morally injured professionals what they need, so as to not risk offering unwanted help.

Examining the prevalence and health impairment associated with subthreshold PTSD symptoms (PTSS) among frontline healthcare workers during the COVID-19 pandemic.

The COVID-19 pandemic has increased healthcare workers' (HCWs) risk for posttraumatic stress disorder (PTSD). Although subthreshold PTSD symptoms (PTSS) are common and increase vulnerability for health impairments, they have received little attention. We examined the prevalence of subthreshold PTSS and their relationship to physical health symptoms and sleep problems among HCWs during the pandemic's second wave (01/21-02/21). Participants (N = 852; 63.1% male; Mage = 38.34) completed the Short-Form PTSD Checklist (SF-PCL), the Cohen-Hoberman Inventory of Physical Symptoms, and the PROMIS Sleep-Related Impairment-Short-Form 4a. We created three groups with the SF-PCL: scores ≥11 = probable PTSD (5.5%); scores between 1 and 10 = subthreshold PTSS (55.3%); scores of 0 = no PTSS (39.2%). After controlling for demographics, occupational characteristics, and COVID-19 status, HCWs with subthreshold PTSS experienced greater physical health symptoms and sleep problems than HCWs with no PTSS. While HCWs with PTSD reported the greatest health impairment, HCWs with subthreshold PTSS reported 88% more physical health symptoms and 36% more sleep problems than HCWs with no PTSS. Subthreshold PTSS are common and increase risk for health impairment. Interventions addressing HCWs' mental health in response to the COVID-19 pandemic must include subthreshold PTSS to ensure their effectiveness.

A Machine Learning-Based Risk Prediction Model for Post-Traumatic Stress Disorder during the COVID-19 Pandemic.

Background and Objectives: The COVID-19 pandemic has caused global public panic, leading to severe mental illnesses, such as post-traumatic stress disorder (PTSD). This study aimed to establish a risk prediction model of PTSD based on a machine learning algorithm to provide a basis for the extensive assessment and prediction of the PTSD risk status in adults during a pandemic. Materials and Methods: Model indexes were screened based on the cognitive-phenomenological-transactional (CPT) theoretical model. During the study period (1 March to 15 March 2020), 2067 Chinese residents were recruited using Research Electronic Data Capture (REDCap). Socio-demographic characteristics, PTSD, depression, anxiety, social support, general self-efficacy, coping style, and other indicators were collected in order to establish a neural network model to predict and evaluate the risk of PTSD. Results: The research findings showed that 368 of the 2067 participants (17.8%) developed PTSD. The model correctly predicted 90.0% (262) of the outcomes. Receiver operating characteristic (ROC) curves and their associated area under the ROC curve (AUC) values suggested that the prediction model possessed an accurate discrimination ability. In addition, depression, anxiety, age, coping style, whether the participants had seen a doctor during the COVID-19 quarantine period, and self-efficacy were important indexes. Conclusions: The high prediction accuracy of the model, constructed based on a machine learning algorithm, indicates its applicability in screening the public mental health status during the COVID-19 pandemic quickly and effectively. This model could also predict and identify high-risk groups early to prevent the worsening of PTSD symptoms.

Posttraumatic Stress Disorder in a Physician Assistant After Working in an ICU During COVID-19.

INTRODUCTION: We present a case report of a physician assistant who experiences posttraumatic stress disorder (PTSD) from providing care to patients affected with COVID-19. We believe this case is important as it will reveal the unfortunate impact COVID-19 has on the mental health of health care professionals. CASE PRESENTATION: A 51-year-old White woman presented to our clinic with a 1-year history of panic attacks, mood swings, difficulty sleeping, nightmares, social withdrawal, guilt, and depression. DISCUSSION: Cross-sectional, survey-based studies have highlighted PTSD rates in health care workers during the pandemic, but these studies have not explored how exactly PTSD presents on the individual level. CONCLUSIONS: This case presents a compelling reflection on what could be a larger trend of increasing mental health issues as a direct result of the COVID-19 pandemic and emphasizes the need for better mental health support and infrastructure to be in place for the well-being of the health care workers in this country.

An explanatory model of depressive symptoms from anxiety, post-traumatic stress, somatic symptoms, and symptom perception: the potential role of inflammatory markers in hospitalized COVID-19 patients.

BACKGROUND: The context of the COVID-19 pandemic has harmed the mental health of the population, increasing the incidence of mental health problems such as depression, especially in those who have had COVID-19. Our study puts forward an explanatory model of depressive symptoms based on subjective psychological factors in those hospitalized for COVID-19 with and without biological markers (i.e., inflammatory markers). Therefore, we aim to evaluate the hypotheses proposed in the model to predict the presence of depressive symptoms. METHOD: We conducted a cross-sectional study, using a simple random sampling. Data from 277 hospitalized patients with COVID-19 in Lima-Peru, were collected to assess mental health variables (i.e., depressive, anxiety, post-traumatic stress, and somatic symptoms), self-perception of COVID-19 related symptoms, and neutrophil/lymphocyte ratio (NLR) such as inflammatory marker. We performed a structural equation modeling analysis to evaluate a predictive model of depressive symptoms. RESULTS: The results showed a prevalence of depressive symptoms (11.2%), anxiety symptoms (7.9%), somatic symptoms (2.2%), and symptoms of post-traumatic stress (6.1%) in the overall sample. No association was found between the prevalence of these mental health problems among individuals with and without severe inflammatory response. The mental health indicators with the highest prevalence were sleep problems (48%), low energy (47.7%), nervousness (48.77%), worry (47.7%), irritability (43.7%) and back pain (52%) in the overall sample. The model proposed to explain depressive symptoms was able to explain more than 83.7% of the variance and presented good goodness-of-fit indices. Also, a different performance between the proposed model was found between those with and without severe inflammatory response. This difference was mainly found in the relationship between anxiety and post-traumatic stress symptoms, and between the perception of COVID-19 related symptoms and somatic symptoms. CONCLUSIONS: Results demonstrated that our model of mental health variables may explain depressive symptoms in hospitalized patients of COVID-19 from a third-level hospital in Peru. In the model, perception of symptoms influences somatic symptoms, which impact both anxiety symptoms and symptoms of post-traumatic stress. Thus, anxiety symptoms could directly influence depressive symptoms or through symptoms of post-traumatic stress. Our findings could be useful to decision-makers for the prevention of depression, used to inform the creation of screening tools (i.e., perception of symptoms, somatic and anxiety symptoms) to identify vulnerable patients to depression.

The risk of post-traumatic stress disorder (PTSD) in Italian Highly Specialized Research Hospitals staff within two months of the pandemic declaration: an on-line survey.

BACKGROUND: The whole hospital system was stressed and at risk in the first phase of the pandemic. This study examined the prevalence of post-traumatic stress disorder (PTSD) in all hospital staff, medical and non-medical, within two months of the pandemic declaration. Survey concerned staff 4510 health workers of Italian Highly Specialized Research Hospitals. METHOD: Subjects were asked to complete an on-line self-reported questionnaire, the PTSD Checklist 5 (PCL-5) and subjective perception of safety related to personal protective equipment (PPE). RESULTS: The sample included staff working in hospitals with or without COVID-19 patient admissions. Overall, 11.56% of the hospitals staff met the symptoms criteria for probable PTSD. The sample included 80.63% (3467) medical staff workers and 19.37% (833) non-medical staff workers. The 31.91% of participants worked in COVID-19 hospitals/wards. The prevalence of positive screening for PTSD symptoms in medical staff was 12.42% (426) and in non-medical staff, 8.59% (70). Among medical staff, anesthesiologists had a significant prevalence of PTSD (22.35%), followed by health care assistants/technicians (15.38%) and physicians (10.11%). Among non-medical staff, personnel involved in cleaning, catering, maintenance, security, and transportation, the symptoms of PTSD reached a rate of 12.24% and in administrative staff 8.47%. Risk factors associated with PTSD included working as an anesthesiologist, perceiving PPE as inadequate, and working in COVID-19 hospitals/wards. CONCLUSIONS: In the present study, as in other studies, the prevalence of PTSD symptoms among hospital workers was significatively higher than the lifetime prevalence of PTSD in the general population, showing the pandemic's incredible impact.

The capacity to adapt: Documenting the relationship between stressors and probable depression, anxiety, and posttraumatic stress at two time points during the COVID-19 pandemic.

BACKGROUND: Psychological adaptability, or the reduction of psychiatric symptoms in the context of ongoing stressors, is well-documented. The present study assessed relationships between COVID-19 related stressors and depression, anxiety, and post-traumatic stress (PTS) during April and July 2020. METHODS: Prevalence of, and changes in, symptom severity levels in April vs. July were measured with ANOVA F-tests. Logistic regressions were used to assess the odds of probable diagnosis. RESULTS: Symptom distributions skewed lower in July, as compared to April for all three diagnostic categories. From April to July, prevalence of probable anxiety and depression decreased across all levels of stress, prevalence of PTS increased for high stress, and decreased for medium and low stress levels. In July, only high stress related to higher odds of probable diagnoses, as compared to April when both medium and high stress did. LIMITATIONS: Due to use of cross-sectional self-report data, the present findings could not establish causality between variables, and provide probable, rather than clinical, diagnoses. CONCLUSION: Findings emphasize adaptability phenomena during COVID-19 and highlight the nuanced impact of ongoing stress.

Longitudinal path analysis for the directional association of depression, anxiety and posttraumatic stress disorder with their comorbidities and associated factors among postpartum women in Northwest Ethiopia: A cross-lagged autoregressive modelling study.

INTRODUCTION: Vulnerability for depression, anxiety and posttraumatic stress disorder symptoms due to perceived traumatic birth increase during the postpartum period. Traumatic birth has been defined as an event occurring during labour and birth that may be a serious threat to the life and safety of the mother and/or child. However, the comorbidity and multimorbidity of depression, anxiety and PTSD with their direct and indirect predictors is not well investigated in the postpartum period. In addition, the longitudinal directional association of depression, anxiety and PTSD with their comorbidities is not studied in Ethiopia. OBJECTIVE: The aim of this study was to assess prevalence of postnatal comorbid and multimorbid anxiety, depression and PTSD. It also aimed to determine the directional association of postnatal anxiety, depression and PTSD with the comorbidity and multimorbidity of these mental health problems over time and to explore the factors that are directly or indirectly associated with comorbidity and multimorbidity of anxiety, depression and PTSD. METHODS: A total of 775 women were included at the first, second and third follow-up of the study (6th, 12th and 18th week of postpartum period) during October, 2020 -March, 2021. A cross-lagged autoregressive path analysis was carried out using Stata 16.0 software in order to determine the autoregressive and cross-lagged effects of depression, anxiety and PTSD with their comorbidities. In addition, a linear structural equation modelling was also carried out to determine the direct and indirect effects of independent variables on the comorbidities of depression, anxiety and PTSD. RESULTS: Comorbidity of anxiety with depression was the most common (14.5%, 12.1% and 8.1%) at the 6th, 12th and 18th week of postnatal period respectively. With regard to the direction of association, comorbidity of PTSD (due to perceived traumatic birth) with depression, PTSD with anxiety, depression with anxiety and triple comorbidity predicted depression and anxiety in subsequent waves of measurement. Direct and indirect maternal morbidity, fear of childbirth and perceived traumatic childbirth were found to have a direct and indirect positive association with comorbidities of depression, anxiety and PTSD. In contrast, higher parity, higher family size and higher social support had a direct and indirect negative association with these mental health disorders. CONCLUSION: Postnatal mental health screening, early diagnosis and treatment of maternal morbidities, developing encouraging strategies for social support and providing adequate information about birth procedures and response to mothers' needs during childbirth are essential to avert comorbidity of anxiety, depression and PTSD in the postpartum period.