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Major depressive disorder (MDD) is a highly prevalent psychiatric condition characterised by a heterogeneous clinical presentation and an estimated twin-based heritability of ~40-50 %. Different clinical MDD subtypes might partly reflect distinctive underlying genetics. This study aims to investigate if polygenic risk scores (PRSs) for different psychiatric disorders, personality traits, and substance use-related traits may be associated with different clinical subtypes of MDD (i.e., MDD with melancholic or psychotic features), higher symptom severity, or different clusters of depressive symptoms (i.e., sadness symptoms, typical neurovegetative symptoms, detachment symptoms, and negative thoughts).The target sample included 1149 patients with MDD, recruited by the European Group for the Study of Resistant Depression. PRSs for 25 psychiatric disorders and traits were computed based on the most recent publicly available summary statistics of the largest genome-wide association studies. PRSs were then used as predictors in regression models, adjusting for age, sex, population stratification, and recruitment sites.Patients with MDD having higher PRS for MDD and loneliness were more likely to exhibit melancholic features of MDD (p = 0.0009 and p = 0.005, respectively). Moreover, patients with higher PRS for alcohol intake and post-traumatic stress disorder were more likely to experience greater typical neurovegetative symptoms (p = 0.0012 and p = 0.0045, respectively).The proportion of phenotypic variance explained by the PRSs was limited.This study suggests that melancholic features and typical neurovegetative symptoms of MDD may show distinctive underlying genetics. Our findings provide a new contribution to the understanding of the genetic heterogeneity of MDD.

Background: To study the longitudinal impact of co-occurring mental health problems, and to identify vulnerable groups in need of mental health support during the COVID-19 pandemic. Methods: Analyses were based on data from 681 French participants in the international COVID-19 Mental Health Study, collected at four times (05/2020–04/2021). Symptoms of depression, anxiety and post-traumatic stress disorder (PTSD) were assessed using the Patient Health Questionnaire 9, the Generalized Anxiety Disorder-7 and the PTSD Check List for DSM-5. We performed k-means for longitudinal data to build trajectories of adults' depression, anxiety and PTSD symptoms and identify subgroups psychologically vulnerable. We then assessed whether mental health trajectories were predicted by lockdown regulations. Results: A high and a low cluster of mental health scores were identified. In both groups, mental health scores varied significantly across time. Levels of all mental health scores were lowest when COVID-19-related restrictions were lifted and highest when restrictions were in place, except for PTSD. No scores returned to the previous level or the initial level of mental health (p < 0.05). Participants with high levels of symptoms were characterized by younger age (OR: 0.98, 95 % CI: 0.97–0.99), prior history of mental disorders (OR: 3.46, 95 % CI: 2.07–5.82), experience of domestic violence (OR: 10.54, 95 % CI: 1.54–20.68) and medical issues (OR: 2.16, 95 % CI: 1.14–4.03). Limitations: Pre-pandemic data were not available and the sample was recruited mainly by snowball sampling. Conclusion: This study revealed subtle differences in the evolution of symptom trajectories during the first year of the Covid-19 pandemic, and highlighted several characteristics associated with the two clusters.

Evidence on the relationship between burnout and post-traumatic stress disorder (PTSD) is limited. We aimed to evaluate the association between burnout and PTSD symptoms among medical staff two years after the coronavirus disease 2019 (COVID-19) pandemic in Wuhan, China, and explore the mediating roles of social support and psychological resilience.A multicenter survey was conducted online from January to March 2022 among healthcare professionals from six general hospitals. Hierarchical linear regression was used to detect the predictors of PTSD symptoms. Structural equation modeling (SEM) was used to analyze the pathways from burnout to PTSD symptoms.Hierarchical linear regression showed that burnout, social support, and psychological resilience were significant predictors of PTSD symptoms among medical staff. In the SEM, the standardized total effect of burnout on PTSD symptoms was 0.336(bias-corrected 95 % confidence interval [0.303, 0.367], P 0.001). Social support and psychological resilience partially mediated the relationship between burnout and PTSD symptoms (indirect effects accounted for 22.3 % of the total effect).Owing to the cross-sectional design, only clues to causal explanations can be provided.Burnout has significant direct and indirect effects on PTSD symptoms. Furthermore, social support and psychological resilience might be effective ways to reduce the impact of burnout on PTSD symptoms in medical staff after a major public health outbreak.

Although most veterans with posttraumatic stress disorder (PTSD) benefit from evidence-based treatments, questions persist concerning the profiles of those at risk for poor outcomes. To help address these gaps, this study analyzed a large clinical cohort of veterans receiving prolonged exposure (PE) or cognitive processing therapy (CPT).Cluster analysis using Ward's method with Euclidian distances identified clinically meaningful subgroups of veterans in a national cohort (n = 20,848) using variables maintained in the electronic medical record. The clusters were then compared via one-way analysis of variance and Tukey's HSD on indicators of treatment progress including PTSD symptom change, clinical recovery, clinically significant change, remission, and treatment completion.Effect size differences on clinical outcome measures for PE and CPT were negligible. Less than half of veterans achieved at least a 15-point reduction in PCL-5 score and half completed treatment. We identified 10 distinct clusters. Higher rates of PTSD service-connected disability were linked to poorer outcomes across multiple clusters, especially when combined with Post-Vietnam service era. Non-White race was also linked with poorer clinical outcomes. Factors associated with better outcomes included a greater proportion of female veterans, especially when combined with recent service era, and longer PTSD diagnosis duration.This study suggests the need to improve PTSD treatment outcomes for non-White and male veterans, examine treatment response in Post-Vietnam era veterans, and consider ways in which the service connection process could hinder treatment response. The results from this study also indicate the benefits of integrating elements of clinical complexity into an analytic approach.

This study develops a fear-potentiated startle paradigm (FPS) and a machine learning approach to accurately predict PTSD symptoms using electrogram data. A three-phase fear-potentiated startle paradigm was designed to assess the conditioning, generalization, and extinction of fear. Electrooculogram and electrocardiogram signals were collected during the FPS. A total of 1107 Chinese firefighters participated in the study. The Chinese version PCL-C was administered to all subjects. A cutoff of 38 or higher is used to indicate PTSD symptoms. Electrogram features were extracted and selected to build a machine learning model to classify individuals. The machine learning model was 5-fold cross validated. The importance of the selected features was calculated. Classification performance metrics were evaluated for the machine learning model. The machine learning model can identify firefighters with a PCL-C score of 38 or above with sensitivity and specificity both above 0.85 when 5-fold cross validated on a 1107-person sample. The area under the receiver operating characteristic curve of the model is 0.93. Features related to fear generalization are found to be the most important. The proposed fear-potentiated startle paradigm and machine learning approach can accurately predict PTSD symptoms in Chinese firefighters, which can improve the screening and diagnosis of PTSD.

Post-Traumatic Stress Disorder (PTSD) is considered as a prevalent outcome of the COVID-19 pandemic. This study aimed to present a global picture of the prevalence of PTSD in high-risk groups for COVID-19 (HRGs-COVID19) and determine its risk factors.Cross-sectional studies published between March 11, 2020, and October 11, 2021, in English, were searched in seven databases on the prevalence of PTSD in HRGs-COVID19. After screening the retrieved records, their quality was assessed, and the required data were extracted. R-4.1.3 software and random effect model with 95 % confidence interval (CI) were used to synthesize and analyze the data.The pooled prevalence of PTSD in HRGs-COVID19 was 30 % (95 % CI: 21-39 %). The pooled prevalence of PTSD was significantly different in terms of the variables of data collection during the lockdown, gender, and data collection season (P 0.05). Subgroup analyses could not identify sources of heterogeneity.The included studies did not cover all HRGs-COVID19 such as smokers and the elderly.Considering the higher pooled prevalence of PTSD in HRGs-COVID19 than the general population, COVID-19 patients, and health care workers, prioritizing this subgroup for prevention and treatment of psychological outcomes is highly recommended. Predicting and implementing psychological interventions early in the pandemic is more critical when applying restrictive measures and among HRGs-COVID19 women.

The G allele in retinoid-related orphan receptor alpha (RORA, rs8042149) gene is associated with post-traumatic stress disorder (PTSD) diagnosis and more severe symptoms, reported in the first genome-wide association study of PTSD and subsequent replication studies. Although recent MRI studies identified brain structural deficits in RORA rs8042149 risk G allele carriers, the neural mechanism underlying RORA-related brain structural changes in PTSD remains poorly understood.This study included 227 Han Chinese adults who lost their only child. Cortical thickness and subcortical volume were extracted using FreeSurfer, and PTSD severity was assessed using the Clinician-Administered PTSD Scale. Hierarchical linear regression was used to assess the interaction effect between RORA genotypes (T/T, G/T, and G/G) and PTSD severity on cortical and subcortical structures.Significant genotype × PTSD symptom severity interaction effects were found for bilateral transverse temporal gyrus thickness. For individuals with the homozygous T/T genotype, current PTSD symptom severity was positively associated with bilateral transverse temporal gyrus thickness. For individuals with heterozygous G/T genotype, current PTSD symptom severity was negatively associated with the left transverse temporal gyrus thickness. No significant main or interaction effects were found in any subcortical regions.Cross-sectional design of this study.These findings suggest that the non-risk T/T genotype - but not the risk G allele carriers - has a potentially protective or compensatory role on temporal gyrus thickness in adults who lost their only child. These results highlight the moderation effect of RORA polymorphism on the relationship between PTSD symptom severity and cortical structural changes.

BACKGROUND: Potentially traumatic events (PTEs) are common and associated with detrimental outcomes over the life-course. Previous studies exploring the causes and consequences of PTE-exposure profiles are often from high-income settings and fail to explore the implications of sample selection (i.e., population-representative versus PTE-restricted). METHODS: Among individuals in the Nepal Chitwan Valley Family Study, latent class analyses (LCA) were performed on 11 self-reported PTEs collected by the Nepali version of the World Mental Health Consortium’s Composite International Diagnostic Interview 3.0 from 2016 to 2018, in a population-representative sample (N = 10,714), including a PTE-restricted subsample (N = 9183). Multinomial logistic regressions explored relationships between sociodemographic factors and class membership. Logistic regressions assessed relationships between class membership and psychiatric outcomes. RESULTS: On average, individuals were exposed to 2 PTEs in their lifetime. A five-class solution showed optimal fit for both samples; however, specific classes were distinct. No single sociodemographic factor was universally associated with PTE class membership in the population-representative sample; while several factors (e.g., age, age at incident PTE, education, marital status, and migration) were consistently associated with class membership in the PTE-subsample. PTE class membership differentiated psychiatric outcomes in the population-representative sample more than the PTE-subsample. LIMITATIONS: Primary limitations are related to the generalizability to high-income settings, debate on LCA model fit statistic usage for final class selection, and cross-sectional nature of data collection. CONCLUSIONS: Although population-representative samples provide information applicable to large-scale, population-based programming and policy, PTE-subsample analyses may provide additional nuance in PTE profiles and their consequences, important for specialized prevention efforts.

Although posttraumatic psychological growth (PTG) occurs following stressful events, knowledge of maternal psychological growth as a result of giving birth during the novel coronavirus (COVID-19) pandemic is lacking.We assessed PTG associated with recent childbirth (Posttraumatic Growth Inventory) in a sample of 2205 women who gave birth during the pandemic and 540 who gave birth before. They also provided information about birth-related traumatic stress (Peritraumatic Distress Inventory; PTSD Checklist), mother-infant bonding (Maternal Attachment Inventory), and breastfeeding.Close to two thirds (60.45 %) of participants reported childbirth-related PTG with greater appreciation of life endorsed most frequently. No group differences in PTG prevalence were noted between deliveries during or before COVID-19 (χReliance on a convenient sample, self-reports, and cross-sectional design may introduce bias.Perceived positive maternal psychological changes as a result of childbirth are endorsed by a significant portion of women during the pandemic and can ensue in response to traumatic childbirth. Maternal growth is further implicated in successful postpartum adjustment and positive mother-infant interactions during an important period. Hence, directing clinical attention to opportunities of maternal psychological growth may have benefits especially for women at risk for the adverse outcomes of exposure to traumatic experiences of childbirth.

The hippocampus and cingulate gyrus are strongly interconnected brain regions that have been implicated in the neurobiology of post-traumatic stress disorder (PTSD). These brain structures are comprised of functionally distinct subregions that may contribute to the expression of PTSD symptoms or associated cardio-metabolic markers, but have not been well investigated in prior studies.Two divisions of the cingulate cortex (i.e., rostral and caudal) and 11 hippocampal subregions were investigated in 22 male combat-exposed veterans with PTSD and 22 male trauma-exposed veteran controls (TC). Cardio-metabolic measures included cholesterol, body mass index, and mean arterial pressure.Individuals with PTSD had less caudal cingulate area compared to TC even after controlling for caudal cingulate thickness. Total hippocampus volume was lower in PTSD compared to TC, accounted for by differences in CA1-CA4, granule cell layer of the dentate gyrus, molecular layer, and subiculum. Individuals with PTSD had higher mean arterial pressure compared to TC, which correlated with hippocampus volume only in the PTSD group.Sample size, cross-sectional analysis, no control for medications and findings limited to males.These data demonstrate preferential involvement of caudal cingulate area (vs. thickness) and hippocampus subregions in PTSD. The inverse association between hippocampus volume and mean arterial pressure may contribute to accelerated aging known to be associated with PTSD.

Bachkground: The risk factors of Posttraumatic Stress Symptoms (PTSS) and depressive symptoms have been well-established, but whether the network structure of their symptoms changes over time remains unclear. This study aims to examine the six-year changes of network structure of PTSS and depressive symptoms among Wenchuan earthquake adult survivors in China.Methods: In this pooled cross-sectional study, respondents were sampled from the same population at each of the five waves (N = 1343, 1205, 1177, 1376, and 1339). The network structure of them was investigated using network analyses.Results: The study shows network connections stable across waves were the positive connections between hyperarousal and intrusions, hyperarousal and somatic symptoms, and two dimensions of positive effects. Stable negative connections were those between depressed affects and positive effects, avoidance and depressed affects, avoidance with interpersonal symptoms and avoidance with somatic symptoms. Across waves, fearful emotion consistently was the strongest bridge symptom connecting with PTSS symptoms. However, for PTSS the strongest bridge symptom varied across time as it was avoidance in wave 1 but were hyperarousal in other four waves.Limitations: This study was based on a pooled cross-sectional survey, which inhibits conclusions regarding causal influences between symptoms at the individual patient level.Conclusions: The network structure of PTSS and depressive symptoms was partly stable, yet also varied across survey waves. Core symptom clusters for PTSS and depressive symptoms were avoidance and depressed affect, respectively. The central role of these clusters in PTSS and depressive symptoms has important implications to future psychiatric programs.

The prevalence of posttraumatic stress disorder (PTSD) in rape survivors is considerably higher than the prevalence in non-sexual trauma survivors. Few studies have investigated risk and protective factors in survivors early-after-rape in a prospective longitudinal design.In a sample of 639 rape-exposed women who were assessed within 20 days of rape and over 6 months, baseline data were used to predict PTSD symptom severity scores up to 6 months post-rape.The incidence of PTSD at 3 months was 48.5% and the cumulative incidence at 6 months post-rape was 54.8%. Baseline experience of rape stigma (guilt, shame, self-blame, social devaluation and discredit) and depression were significant predictors of PTSD symptom scores over time, in mixed linear regression models. Higher levels of depression and rape stigma were associated with higher PTSD scores. Assault-related factors were not associated with PTSD scores.We could not measure PTSD symptom trajectories in all rape survivors, some of who may be at greater risk for PTSD e.g. non-disclosing rape survivors, those who declined participation and those who were extremely distressed at the time of recruitment.Addressing internalised and externalised stigma and resultant mental health effects on women who present to rape clinics may reduce the long-term adverse effects of rape on mental health outcomes, such as PTSD. Rape survivors who present with high levels of depression soon after a rape should be carefully monitored and appropriately treated in order to reduce PTSD severity.

This study evaluated whether lifetime traumatic stress compared to deployment-related traumatic stress differentially affected the likelihood of insomnia in military personnel.Data were obtained from the Army Study to Assess Risk and Resilience in Servicemembers (unweighted N = 21,499; weighted N = 670,335; 18-61 years; 13.5% Female). DSM-5 criteria were applied to the Brief Insomnia Questionnaire to determine past month insomnia diagnostic status. A lifetime stress survey was used to assess traumatic stress encountered outside of the military, and a deployment-related stress survey assessed for various types of deployment-related traumatic stress.Adjusting for sex and psychiatric disorders, lifetime traumatic stress increased the prevalence for insomnia among those who endorsed combat death of close friend or relative, 1.021 (95% CI, 1.02-1.02), followed by those who reported other experiences that put them at risk of death or serious injury, 1.013 (95% CI, 1.01-1.01), whereas deployment-related traumatic stress showed that the prevalence for insomnia was highest for those who reported being sexually assaulted or raped, 1.059 (95% CI, 1.04-1.08), followed by those who endorsed being hazed or bullied by one or more members of their unit 1.042 (95% CI, 1.04-1.05).The cross-sectional nature of the assessment limits causal inferences and there was no clinician determined diagnosis for insomnia.Findings suggest that traumas over both one's lifetime and during deployment are associated with a higher prevalence for insomnia among Army soldiers. Results highlight the importance of considering both lifetime and deployment traumas into mental health assessment and treatment for active-duty soldiers.

The glutamate N-methyl-d-aspartate (NMDA) receptor antagonist ketamine rapidly ameliorates posttraumatic stress disorder (PTSD) and depression symptoms in individuals with comorbid PTSD and major depressive disorder (MDD). However, concerns over ketamine's potential neurocognitive side effects have yet to be assessed in this population. The current study investigated 1) changes in neurocognitive performance after a repeated ketamine dosing regimen and 2) baseline neurocognitive performance as a predictor of ketamine treatment effect.Veterans with comorbid PTSD and MDD (N = 15) received six infusions of 0.5 mg/kg ketamine over a 12-day period. Neurocognitive and clinical outcomes assessments occurred at baseline and within 7 days of infusion-series completion using the CogState battery.Repeated ketamine infusions did not significantly worsen any measures of cognition. Rather, significant improvement was observed in working memory following completion of the infusion series. In addition, greater improvements in PTSD and MDD symptoms were associated with lower working memory, slower processing speed and faster set shifting at baseline. Lower verbal learning was also predictive of improvement in depression.This study applied an open-label design without a placebo control. As such, it is not known to what extent the correlations or improvement in neurocognitive performance may have occurred under placebo conditions.This is the first study to examine the neurocognitive effects of repeated ketamine in participants with comorbid PTSD and MDD. Our findings suggest potential baseline neurocognitive predictors of ketamine response for comorbid PTSD and MDD symptoms.

The reported prevalence of military sexual trauma (MST) has increased over the past decades in the United States, yet scarce population-based studies have examined the prevalence, correlates, and health burden of MST in the general veteran population.Data were from the 2019-2020 National Health and Resilience in Veterans Study, a population-based survey of veterans (n = 4069).(1) estimated the prevalence of MST; (2) identified sex-stratified sociodemographic, military, and trauma characteristics associated with MST; and (3) examined sex-stratified associations between MST and psychiatric comorbidities, functioning, disability, and treatment utilization.Female veterans reported substantially higher rates of MST (44.2%) than male veterans (3.5%). Relative to male veterans without MST histories, male veterans with MST histories had nearly 3-fold increased odds of reporting future suicidal intent, 2-to-3-fold greater odds of screening positive for current posttraumatic stress disorder (PTSD), depression, and generalized anxiety disorder; and nearly 2-fold increased odds of being disabled. Male veterans with MST histories also scored lower on mental, physical, cognitive, and psychosocial functioning (d's = 0.16-0.29). Relative to female veterans without MST histories, female veterans with MST histories had 5-fold greater odds of current PTSD, 2-fold greater odds of engaging in mental health treatment, and scored lower on psychosocial functioning and higher on somatic symptoms (both d's = 0.25).Cross-sectional design precludes causal inference.A substantial proportion of veterans in the U.S. experience sexual trauma during their military service, and these experiences are associated with an elevated health burden.

INTRODUCTION: Stepped care trauma-focused cognitive behavioral therapy (SC-TF-CBT) is comparable in efficacy to standard TF-CBT for child posttraumatic stress symptoms (PTSS), but less is known about the effectiveness of SC-TF-CBT on child and parent secondary outcomes. The aim of this community-based randomized clinical trial was to compare child- and caregiver-secondary outcomes among SC-TF-CBT versus TF-CBT participants. METHODS: Children (ages 4 to 12) with PTSS and their caregivers were randomly assigned to either SC-TF-CBT (n=91) or TF-CBT (n=92). Secondary child (internalizing and externalizing behavior problems, anger/outburst and sleep disturbances) and parent outcomes (PTSS, depression symptoms, and parenting stress) were measured at baseline, post-treatment and 6- and 12-month follow-up. RESULTS: There were comparable changes at all-time points in child and caregiver secondary outcomes. Non-inferiority tests indicated that for completers and intent-to-treat samples, SC-TF-CBT was non-inferior to TF-CBT for all outcomes except parenting stress at 6-months. The analysis with completers did not support non-inferiority at post-treatment for internalizing and externalizing problems and at 6- and 12-month follow-up assessments for externalizing problems, but the intent-to-treat analysis did support non-inferiority. LIMITATIONS: Limitations included semi-structured diagnostic interviews for parent PTSD and depression only at baseline, modest rates of attrition, excluding in vivo component for standard TF-CBT, parent-only assessments, and no control condition. CONCLUSIONS: SC-TF-CBT is an effective alternative treatment method although parents with high stress may need more support and children with externalizing problems may need more standard TF-CBT sessions.

Suicidal ideation (SI) is an early risk factor for suicide among disaster responders. To date, however, no known study has examined the prevalence, and pre-, peri-, and post-disaster risk correlates of SI in World Trade Center (WTC) responders, one of the largest disaster response populations in U.S.The prevalence, and pre-, peri- and post-event correlates of SI were assessed in a population-based health monitoring cohort of 14,314 police responders and 16,389 non-traditional responders (e.g., construction workers) who engaged in response, recovery, and clean-up efforts following the 9/11/2001 terrorist attacks on the WTC. Multivariable analyses were conducted to identify correlates and individual psychiatric symptoms associated with SI in each group.A total 12.5% of non-traditional and 2.2% of police WTC responders reported SI. Depression, functional impairment, alcohol use problems, and lower family support while working at the WTC site were associated with SI in both groups of responders. Symptom-level analyses revealed that three symptoms accounted for approximately half of the variance in SI for both groups-feeling bad about oneself, or that one has let down oneself or family; feeling down, depressed, or hopeless; and sense of foreshortened future (44.7% in non-traditional and 71% in police).Use of self-report measures and potentially limited generalizability.SI is prevalent in WTC disaster responders, particularly non-traditional responders. Post-9/11 psychiatric symptoms reflecting guilt, shame, hopelessness, and associated functional impairment are most strongly linked to SI, suggesting that interventions targeting these factors may help mitigate suicide risk in this population.

Mental disorders are associated with immune dysregulation as measured by serum levels of biological markers of immunity. Adults with mental disorders have also been reported to have attenuated post vaccine immune response. The COVID-19 pandemic has invited the need to determine whether individuals with mental disorders exhibit differential immune response following the administration of vaccines for other infections.A systematic search of MEDLINE, Embase, Cochrane, and PsycInfo was conducted from inception to May 2021 investigating vaccine response in persons with mental disorders, as measured by biological markers of immunity (i.e., antibodies, cytokines).Thirteen articles were identified which evaluated vaccine efficacy in persons with mental disorders. Individuals with major depressive disorder (MDD) or schizophrenia revealed attenuated immune response to vaccination, or no statistical difference compared to control subjects. Individuals with anorexia nervosa or post-traumatic stress disorder (PTSD) displayed no attenuated post-vaccination antibody level. Individuals with insomnia displayed lower levels of antibodies after vaccination, whereas individuals with obstructive sleep apnea (OSA) displayed no difference in vaccine response compared to control subjects.The limitations of this review include the relatively few articles included (n = 13) and small sample sizes (less than thirty subjects) in the majority of articles.Vaccine response in adults with a mental disorder remains inconclusive. Notwithstanding the heterogeneity and relatively small number of studies, available evidence does suggest attenuated immune response across disparate vaccinations. Future research is required to confirm vaccine efficacy in persons with mental disorders, especially regarding immune responses to COVID-19 vaccination.

The microbiota-gut-brain axis is a key pathway perturbed by prolonged stressors to produce brain and behavioral disorders. Frontline healthcare workers (FHWs) fighting against COVID-19 typically experience stressful event sequences and manifest some mental symptoms; however, the role of gut microbiota in such stress-induced mental problems remains unclear. We investigated the association between the psychological stress of FHW and gut microbiota.We used full-length 16S rRNA gene sequencing to characterize the longitudinal changes in gut microbiota and investigated the impact of microbial changes on FHWs' mental status.Stressful events induced significant depression, anxiety, and stress in FHWs and disrupted the gut microbiome; gut dysbiosis persisted for at least half a year. Different microbes followed discrete trajectories during the half-year of follow-up. Microbes associated with mental health were mainly Faecalibacterium spp. and [Eubacterium] eligens group spp. with anti-inflammatory effects. Of note, the prediction model indicated that low abundance of [Eubacterium] hallii group uncultured bacterium and high abundance of Bacteroides eggerthii at Day 0 (immediately after the two-month frontline work) were significant determinants of the reappearance of post-traumatic stress symptoms in FHWs.The lack of metabolomic evidence and animal experiments result in the unclear mechanism of gut dysbiosis-related stress symptoms.The stressful event sequences of fighting against COVID-19 induce characteristic longitudinal changes in gut microbiota, which underlies dynamic mental state changes.

On August 4, 2020, Beirut's port experienced one of the strongest non-nuclear explosions in history, killing approximately 200 people, displacing 300,000 persons, and injuring more than 1000 children.An online anonymous survey assessed the prevalence of probable mental health disorders (MHDs) and impact of blast-related and other factors controlling for sociodemographics in 801 children aged 8 to 17 years old.About two thirds (64%) were screened positive for probable anxiety using the Screen for Childhood Anxiety Related Disorder, 52% for probable PTSD using CRIES-13, and 33% for probable depression using the Mood and Feelings Questionnaire (MFQ). Children who resided farthest way from the explosion site or were not in Beirut during blast had a significantly lower odds of anxiety and PTSD. Children who sustained any physical injury (vs. none) or witnessed casualties (vs. not) were at higher odds for PTSD. Children of parents who reported that their homes sustained minor damages (vs. no damages at all) were at higher odds for anxiety and PTSD, and temporary displacement (vs. none) increased odds of PTSD only. Poorer perceived economic status, poorer academic performance, having a family member injured in the blast, and prior mental health care seeking were associated with higher odds for all MHDs.Our study, the only one to document the mental health impact of the Beirut Port explosion on children, highlights the critical need for an emergency mental health response, prioritizing disadvantaged communities and children with prior mental health problems.

BACKGROUND: Life Events Checklist (LEC-5) has been widely used to assess for exposure to potentially traumatic life events (PTEs), but its psychometric properties have not been evaluated in Kenya. The objectives of this study were to determine the frequency and types of PTEs within this setting and to examine the construct validity of LEC-5 in Kenya. METHODS: The LEC-5 was administered to 5316 participants in the ongoing multisite case–control study of Neuropsychiatric Genetics of African Populations-Psychosis. We used exploratory factor analysis to assess LEC-5 structure, and conducted confirmatory factor analyses to compare these results with two other models: a six-factor model based on the only prior EFA of the LEC and a theoretical seven-factor model. RESULTS: The majority (63.4% overall and 64.4% of cases and 62.4% of controls) of participants had experienced at least one PTE in their lifetime. Results of the exploratory factor analyses for LEC-5 yielded a seven-factor solution with eigenvalues greater than one, accounting for 55.3% of the common variance. Based on confirmatory factor analyses, all three models had good fit for our sample, but the theoretical seven-factor model had the best fit. LIMITATIONS: The study did not assess if the participants perceived experiences as traumatic, we did not carry out test retest reliability or and we did not consider cultural variations in perception of trauma. CONCLUSION: This study provides evidence of a high prevalence of traumatic life events and for the construct validity of LEC-5 in assessing PTE exposures in a Kenyan setting.

Stressors at the population level affect women more than men. The influence of prolonged stressors on mental disorders in women is yet unknown, especially when social movements and pandemics coexist.This study analysed data from an online mental health self-help service for women in Hong Kong between May and September 2020. We collected demographic data, PTSD symptoms, and exposure to social unrest-related traumatic events (TEs), pandemic-related traumatic events (PEs), and personal stressful life experiences (SLEs). Multiple logistic regression was performed to examine the links between TEs, PEs, and SLEs and PTSD.The study found that 38.4% of 751 women had moderate-to-severe depressive symptoms and 23.8% had probable PTSD. The most common TEs, PEs, and SLEs were violence via media, major physical health concerns, and plans thwarted due to COVID-19, respectively. Younger age, less education, unemployment, and more stressors (individually or collectively, except for high TEs and PEs) were linked to increased odds of moderate-to-severe depressive symptoms. TEs and PEs increased the risk of probable PTSD only when SLEs were present.The non-random samplinging procedure reduced the generalisability to the entire women population.Exposure to social conflicts and pandemics may increase depressive and PTSD symptoms in women. Developing mental health services for women should consider the impact of concurrent major events.

The current meta-review of meta-analyses on psychotherapy research for complex post-traumatic stress disorder (CPTSD) and samples at risk of complex traumatization has three aims: first, to provide an overview of efficacy of individual psychotherapies; second, to compare the quality of the meta-analyses; and third, to assess statistical power.The literature search was conducted until August 2020. Meta-analyses providing individual treatment effect estimates focusing on CPTSD or samples at risk of complex traumatization (i.e., victims of childhood sexual abuse (CSA), war or torture, refugees, and veterans with PTSD) were eligible for inclusion. The effect sizes were classified according to Cohen as small, medium, or large. The "A MeaSurement Tool to Assess systematic Reviews" (AMSTAR) was applied to assess the quality of the meta-analyses, and power was assessed post-hoc.Twenty-four meta-analyses were suitable for inclusion. The efficacy of the interventions varied (g = -0.04 (CI -0.39; 0.48), controlled, to d = 2.73 (1.69; 3.76), uncontrolled). Overall, 16 effect estimates were large. On average, the quality of the meta-analyses was good (average AMSTAR total score 7.71 points (range 3-11). Considering quality assessments and power together, nine meta-analyses were evaluated as high quality.No meta-analysis for CPTSD was eligible and the number of individuals with complex traumatization was not directly assessed in the at-risk groups.For at-risk groups for complex traumatization, on average, good-quality empirical evidence exists. Given the limited research on CPTSD, future studies are needed to further investigate the efficacy of interventions.

Background Post-traumatic stress disorder (PTSD) develops after a person has experienced a traumatic event which can be highly accounted for amidst the ongoing COVID-19 pandemic. This study aims to estimate the prevalence of PTSD among the severe cases of COVID-19. Methods We included the observational studies done to estimate the burden of PTSD among severe COVID-19 patients. Data was extracted manually using structured data extraction form and analyzed in STATA version 14.2. A random-effects model was applied, and the final pooled data was reported as proportion with a 95% confidence interval. Multivariable meta-regression analysis was carried out, and a forest plot was utilized to represent the study-specific and pooled estimates for overall and subgroup analysis. Results We included 13 articles with 1,093 participants in our analysis. The pooled prevalence was estimated to be 16% (95%CI: 9% to 23%). We found a substantial heterogeneity between the studies that reported the outcome (I2=87.9%, p

Early detrimental experiences increase the risk of psychiatric disorders, including posttraumatic stress disorder (PTSD). In a previous experiment, we demonstrated that traumatic stress in adolescence triggers changes in the expression of the epigenetic marker H3K9me2 in the hippocampus and prefrontal cortex of adolescent and adult rats, which suppresses transcription of the brain-derived neurotrophic factor (Bdnf) gene that promotes dendrite development and synaptic growth. However, corresponding changes in the amygdala in response to traumatic stress in early life have not yet been fully elucidated. In the current study, we used the inescapable foot shock (IFS) procedure to establish a PTSD model. Half an hour after the end of electric shocks, intraperitoneal injection of the G9a enzyme inhibitor Unc0642, a small molecule inhibitor of EHMT2 that can decrease H3K9me2 expression, was applied to reverse the corresponding epigenetic changes. Exploratory behaviors, anxiety-like behavior, social communication ability, spatial exploration and memory were determined using the open field test (OFT), elevated plus maze (EPM) test, three-chamber sociability test (SIT), Morris water maze (MWM) test, and Y maze test (YMZ), respectively. Additionally, the levels of H3K9me2 and BDNF were measured by quantitative reverse transcription-polymerase chain reaction (qPCR) and Western blotting. Furthermore, neuronal development was examined using Golgi staining. The results showed that the IFS procedure induced anxiety-like and depression-like behaviors, social skills dysfunction, and spatial exploration and memory disorders. It also decreased the mRNA expression of BDNF and BDNF and increased the expression of H3K9me2 in the amygdala. More importantly, compared to unstressed animals, traumatic stress during adolescence induced dendrite maldevelopment in adolescent and adult rats. In summary, the present study indicates that early-life stress alters the epigenetic marker expression of H3K9me2 and decreases levels of BDNF in the amygdala, resulting in dendrite maldevelopment and a higher risk of mental disorders.

Background Each year, nearly 790.000 new cases of myocardial infarction (MI) are recorded in the United States. Better knowledge of the modifiable risk factors for this cardiovascular disease remains a major public health issue. In this perspective, the aim of this systematic review and meta-analysis was to estimate the relationship between post-traumatic stress disorder (PTSD) and risk of subsequent myocardial infarction (MI). Methods A systematic review using PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analysis) guidelines was performed by searching four bibliographic databases (PubMed/Medline, PsycINFO, Science Direct and Proquest Dissertations and Theses). Results A total of 14 articles were included. Nine of these included depression as a covariate. Among 13 studies (N = 848.903), the pooled HR for the magnitude of the relationship between PTSD and MI was 1.49 (95% CI 1.31-1.69) before adjustment for depression. The pooled HR estimate for the 9 depression-adjusted estimates (N = 814.441) was 1.32 (95% CI 1.12-1.56). Limitations These results should be considered with caution because there is high heterogeneity between studies and possible publication bias; thus, further research is required to support these results. Conclusions Further research is still needed to identify in more precise terms the mediating factors involved in the direct association between PTSD and the subsequent occurrence of ischemic heart disease.

BACKGROUND: Repetitive transcranial magnetic stimulation (TMS) is an evidence-based treatment for pharmacoresistant major depressive disorder (MDD), however, the evidence in veterans has been mixed. To this end, VA implemented a nationwide TMS program that included evaluating clinical outcomes within a naturalistic design. TMS was hypothesized to be safe and provide clinically meaningful reductions in MDD and posttraumatic stress disorder (PTSD) symptoms. METHODS: Inclusion criteria were MDD diagnosis and standard clinical TMS eligibility. Of the 770 patients enrolled between October 2017 and March 2020, 68.4% (n=521) met threshold-level PTSD symptom criteria. Treatments generally used standard parameters (e.g., left dorsolateral prefrontal cortex, 120% motor threshold, 10Hz, 3000 pulses/treatment). Adequate dose was operationally defined as 30 sessions. MDD and PTSD symptoms were measured using the 9-item patient health questionnaire (PHQ-9) and PTSD checklist for DSM-5 (PCL-5), respectively. RESULTS: Of the 770 who received at least one session, TMS was associated with clinically meaningful (Cohen’s d>1.0) and statistically significant (all p

Intro Recent literature identifies childbirth as a potentially traumatic event, following which mothers may develop symptoms of Post-Traumatic-Stress-Following-Childbirth (PTS-FC). Especially when persistent, PTS-FC may interfere with mothers’ caregiving and associated infant development, underscoring the need for accurate predictive screening of risk. Drawing on recent developments in advanced statistical modeling, the aim of the current study was to identify a set of prenatal indicators and prediction rules that may accurately identify pregnant women's risk for developing symptoms of PTS-FC which persist throughout the early postpartum period. Methods 182 women from the general population completed a comprehensive set of approximately 200 potentially predictive questions during pregnancy, and subsequently reported on their acute stress and PTS-FC at three days, one month, and three months postpartum (self-report and clinician-administered interview). Based on the postpartum acute stress and PTS-FC data, women were classified into profiles of “Stable-High-PTS-FC” and “Stable-Low-PTS-FC” by means of Latent-Class Analyses. Prenatal data were modeled to identify women at risk for “Stable-High PTS-FC”. Results Employing machine-learning decision-tree analyses, a total of 36 questions and 7 prediction-rules were selected. Based on a cost-rate of 15 versus 100 for false-negative “Stable-Low-PTS-FC” versus false-negative “Stable-High-PTS-FC”, the final model showed 80.6% accuracy for “Stable-High-PTS-FC” prediction. Discussion This study identifies a short set of questions and prediction rules that may be included in future large-scale validation studies aimed at developing and validating a brief PTS-FC screening instrument that could be implemented in general population prenatal healthcare practice. Accurate screening would allow for selective administering of preventive interventions towards women at risk.

Background A proportion of veterans experience post-traumatic stress disorder (PTSD). Research has shown reduced effectiveness of commonly offered psychotherapies in military personnel. Some research suggested the usefulness of art therapy for veterans with PTSD, but its mechanism of operation has been unclear. The current project aimed to establish participants’ perceptions of any impact of group art therapy and some of the perceived mechanisms of change. Method In a grounded theory design, single semi-structured interviews were conducted with nine veterans who had received group art therapy, two art therapists, and a veteran's wife. Interviews were transcribed and analysed. Findings Theorised categories included (a) art therapy group as “the family”, (b) “the gentle conductor”, (c) trust, (d) doing the work, (e) art therapy as "a communication tool", (f) "points of recognition", (g) "making things concrete", and (h) "not a cure". Limitations Shortcomings included a homogenous sample who all attended art therapy alongside other interventions, reliance on subjective and unmeasured symptom change, and researcher effects related to qualitative methodology. Conclusion The developed grounded theory is consistent with existing evidence and neuropsychological theory. Group art therapy may enable some veterans to prepare for verbal-only therapy, by offering a safe space in which to approach non-verbal traumatic and trauma-related contextual material in a controlled way. Artworks may provide a bridge to facilitate communication of experiences within subsequent verbal therapy and with loved-ones. It is suggested to replicate the project at different sites. Elements of the developed theory may be investigated further to establish its transferability.

Objective Childhood abuse survivors are at risk for suicidal ideation and suicide attempts. Research has indicated that posttraumatic stress disorder (PTSD) symptoms and dissociation are related to elevated suicidal ideation and behavior (SIB) among this population. At the same time, although the theoretical and clinical literature in the trauma field have suggested that survivors’ pathological attachment to their perpetrators, known as identification with the aggressor, might explain SIB, this supposition has not been investigated to date. Method Filling this gap, this study explored the associations between identification with the aggressor, PTSD symptoms, dissociation, and SIB among 589 adult survivors of childhood abuse. Results Identification with the aggressor, PTSD symptoms, and dissociation were related to elevated levels in suicidal ideation and behavior. Furthermore, profile type (namely, having high versus medium or low levels of identification with the aggressor, PTSD symptoms, and dissociation) was implicated in participants’ SIB: Participants who adhered to a profile characterized by high levels of identification with the aggressor, PTSD symptoms, and dissociation had higher levels of suicide risk and suicidal ideation, as well as higher odds of reporting a history of suicide attempts, compared to participants who adhered to the other two profiles (i.e., characterized by medium or low levels of identification with the aggressor, PTSD symptoms, and dissociation). Limitations This study relied on convenience sampling and a cross-sectional design. Conclusions Identification with the aggressor might serve, alongside PTSD symptoms and dissociation, as a risk factor for suicidal ideation and behavior among childhood abuse survivors.

Background There is a lack of data concerning impact of COVID-19 among older adults (OA) living at long-term care (LTC) centers. This study investigated how COVID-19 has affected this population. The prevalence of and risk factors for post-traumatic stress, depression, and anxiety were investigated. Methods A semi-structured interview to determine the effect of COVID-19 was conducted to 200 OA at two government LTC centers. The 17-item Post-traumatic Stress Disorder Checklist, the 9-item Patient Health Questionnaire, and the 7-item Generalized Anxiety Disorder Scale were used to evaluate post-traumatic stress, depression, and anxiety, respectively. Results Most OA reported moderate or severe impact of COVID-19. The most impacted area was financial due to decreased support from outside the center. Seventy percent of OA reported no or mild psychological stress from COVID-19; however, 5.5% had post-traumatic stress, 7.0% had depression, and 12.0% had anxiety. Higher psychological stress from COVID-19 and having respiratory tract infection symptoms were independently associated with post-traumatic stress, depression, and anxiety. Receiving COVID-19 news via social media was independently associated with post-traumatic stress and depression. Having psychiatric comorbidity was independently associated with depression. Conclusions OA living in LTC centers reported moderate or severe impact from COVID-19, especially financial, but relatively low psychological stress. Psychological stress from COVID-19, having respiratory tract infection symptoms, and receiving COVID-19 news via social media were risk factors for psychological disorders. Limitations The data reflected the post-outbreak period. There is limitation in the generalizability of the results for other countries with different health care systems.

While religion and spirituality (R/S) have been linked to positive mental health outcomes, most studies have employed cross-sectional designs, which do not allow one to evaluate the utility of R/S in predicting these outcomes. To address this gap, this study analyzed data from a 7-year nationally representative, prospective cohort study of U.S. military veterans to examine the effects of R/S on the development of incident mental health outcomes in this population. Specifically, we examined the association between organizational religious activity (ORA), non-organizational religious activity (NORA), and intrinsic religiosity (IR), and the risk of incident PTSD, suicidal ideation (SI), and hazardous drinking (HD). Multivariable logistic regression analyses revealed that ORA predicted a lower incidence of PTSD and SI; NORA a greater risk of developing HD; and IR a lower risk of developing HD. These results suggest that religion and spirituality, assessed in a nationally representative sample of military veterans, predict risk of developing PTSD, SI, and HD, over and above sociodemographic factors and perceived social support. Clinical implications and strategies for incorporating R/S into mental health assessment and interventions in this population are discussed.

Background : The study examines the effectiveness of both neurofeedback and motor-imagery brain-computer interface (BCI) training, which promotes self-regulation of brain activity, using low-cost electroencephalography (EEG)-based wearable neurotechnology outside a clinical setting, as a potential treatment for post-traumatic stress disorder (PTSD) in Rwanda. Methods : Participants received training/treatment sessions along with a pre- and post- intervention clinical assessment, (N = 29; control n = 9, neurofeedback (NF, 7 sessions) n = 10, and motor-imagery (MI, 6 sessions) n = 10). Feedback was presented visually via a game. Participants were asked to regulate (NF) or intentionally modulate (MI) brain activity to affect/control the game. Results : The NF group demonstrated an increase in resting-state alpha (8-12Hz) bandpower following individual training sessions, termed alpha ‘rebound’ (Pz channel, p = 0.025, all channels, p = 0.024), consistent with previous research findings. This alpha ‘rebound’, unobserved in the BCI group, produced a clinically relevant reduction in symptom severity in NF group, as revealed in four of seven clinical outcome measures: PCL-5 (p = 0.005), PTSD screen (p = 0.005), HTQ (p = 0.005), and CD-RISC (p = 0.041). Limitations : Data collection took place in environments that posed difficulties in controlling environmental factors. Nevertheless, this limitation improves ecological validity, as neurotechnology treatments must be deployable outside controlled environments, to be a feasible technological treatment. Conclusions : The study produced the first evidence to support low-cost, neurotechnological solution for neurofeedback as an effective treatment of PTSD for victims of acute trauma in conflict zones in a developing country.

Background Certain populations are at high risk of experiencing a traumatic event and developing post-traumatic stress disorder (PTSD). Yet, primary preventive interventions against PTSD are lacking. It is therefore crucial to identify pre-traumatic risk factors, which could be targeted with such interventions. Insomnia may be a good candidate, but studies on civilians are sparse. Furthermore, the mechanisms at stake in the relationship between pre-traumatic insomnia and PTSD symptoms are unclear. Methods This prospective population-based cohort study (n = 1,610) examined the relationship between insomnia symptoms at 32 weeks of pregnancy and childbirth-related PTSD (CB-PTSD) symptoms at eight weeks postpartum. Postnatal insomnia symptoms, prenatal psychological symptoms (depression, anxiety, PTSD, fear of childbirth), subjective birth experience (SBE) and birth medical severity were included as covariates in the analyses, which were based on a Piecewise Structural Equation Modelling approach. Results The relationship between prenatal insomnia and CB-PTSD symptoms was mediated by negative SBE and postnatal insomnia symptoms. All relationships involving insomnia symptoms had small or very small effect sizes. Limitations This study used self-report questionnaires. Postnatal insomnia and CB-PTSD symptoms were concurrently measured. Conclusion Prenatal insomnia symptoms may impair the ability to cope with a difficult birth experience and contribute to postnatal insomnia, a risk factor for CB-PTSD. Thus, prenatal insomnia symptoms may be a promising target for CB-PTSD primary preventive interventions, although other prenatal psychological symptoms could also be considered. Even beyond the perinatal context, future studies on pre-traumatic insomnia and PTSD should include post-traumatic insomnia as a covariate.

In the current study, we aimed to investigate the network structure of COVID-19 symptoms and its related psychiatric symptoms, using a network approach. Specifically, we examined how COVID-19 symptoms relate to psychiatric symptoms and highlighted potential pathways between COVID-19 severity and psychiatric symptoms. With a sample of six hundred seventy-five recovered COVID-19 patients recruited 1 month after hospital discharge, we respectively integrated COVID-19 symptoms with PTSD, depression, and anxiety symptoms and analyzed the three network structures. In all three networks, COVID-19 severity and ICU admission are not linked directly to COVID-19 symptoms after hospitalization, while COVID-19 severity (but not ICU admission) is linked directly to one or more psychiatric symptoms. Specific pathways between COVID-19 symptoms and psychiatric symptoms were discussed. Finally, we used directed acyclic graph estimation to show potential causal effects between COVID-19 related variables and demographic characteristics.

Background The objective of this study was to investigate whether persistence of antidepressant use differs between refugee youth and Swedish-born youth after a diagnosis of a common mental disorder (CMD), and if clinical and sociodemographic factors are associated with antidepressant discontinuation. Methods Youth aged 16-25 years, with an incident diagnosis of CMD (depression, post-traumatic stress disorder (PTSD), anxiety disorders) accessing specialized healthcare in Sweden 2006-2016 were included. New users were identified with a one-year washout period. Refugees (N=1575) were compared with Swedish-born youth (N=2319). Cox regression models [reported as adjusted Hazard Ratios (HRs) with 95% confidence intervals (CIs)] were used to investigate factors associated with discontinuation of antidepressant use. Results Among youth (mean age 20.9 years, SD 2.7, 50% females), the median duration of antidepressant use differed considerably between refugee (101 days, IQR 31-243) and Swedish-born youth (252 days, IQR 101-558). Refugees were more likely to discontinue treatment (HR 1.61, 95% CI 1.47-1.77). Factors associated with an increased risk for discontinuation in refugees included ≤5 years duration of formal residency (HR 1.28, 95% CI 1.12-1.45), antidepressant type, and dispensing lag (time from prescription to dispensing) of >7 days (1.43, 1.25-1.64), whereas PTSD (0.78, 0.64-0.97) and anxiolytic use (0.79, 0.64-0.96) were associated with a lower discontinuation risk. Limitations Only persons treated in specialized healthcare could be included. Conclusion The relatively short treatment durations among refugee youth suggest that antidepressant treatment may not be optimal in CMD, and better monitoring of treatment as well as transcultural education of healthcare personnel are warranted.

Background There is a lack of research and consensus with respect to long-term effective treatments for trauma-affected refugees. The purpose of this follow-up study of a randomised clinical trial was to investigate the effectiveness of Stress Management (SM) versus Cognitive Restructuring (CR) in treating trauma-affected refugees, six and 18 months post-treatment, respectively. Methods From a total of 126 refugees with PTSD, the intention-to-treat sample in the original trial, 74 patients were present at the six-month follow-up (SM; n = 37, CR; n = 37) and 34 patients at the 18-month follow-up (SM; n = 14, CR; n = 20). During the trial, the patients had been offered a total of 16 psychotherapy sessions and 10 sessions with a medical doctor. Results Mixed regression analyses at six and 18-month follow-up showed a non-significant small reduction in PTSD symptoms at both follow-up points with no significant between-group differences between the two psychotherapeutic interventions. Statistically significant between-group treatment effects were, however, observed with the patients receiving SM having significantly reduced symptoms of somatisation measured by the Symptom Checklist (β = 0.40), depression (β = 0.29) and anxiety (β = 0.37) (measured by the Hamilton Depression and Anxiety ratings) at 18 months post-treatment compared to the CR group. Limitations Limitations to the present study include the dropout rate at follow-up(s). Conclusions The findings suggest that the consolidation of coping strategies including relaxation, attention-diversion and behavioural activation in SM appears to be more beneficial than CR in reducing long-term somatisation, depression and anxiety symptoms for this population.

Hypersexuality is a complex behavioral dysfunction concerning the excess of sexual activities. In this study, we aim to investigate the role of attachment styles, post-traumatic and depression symptoms in hypersexual behavior.We recruited through an online platform a snowball convenience sample of 1025 subjects (females: n=731; 71.3%; males: 294; 28.7%; age: 29.62±10.90) and we administered them a sociodemographic questionnaire, with a psychometric protocol composed by the Hypersexual Behavior Inventory (HBI) to assess hypersexuality, the Relationship Questionnaire (RQ) for the attachment styles, the International Trauma Questionnaire (ITQ) to evaluate the trauma and Patient Health Questionnaire (PHQ) for depression.We found a significant and predictive impact of preoccupied and fearful attachment styles on hypersexual behavior (β=.116; p.0001 and β=.121p.0001, respectively). The categorical analysis of RQ confirmed also statistically significant differences between secure attachment style with fearful and preoccupied ones in terms of HBI levels (secure=30.01±10.79; preoccupied=35.50±14.46; fearful=36.57±13.50). Moreover, we found that depression symptoms and the total score of ITQ also resulted predictive for hypersexuality (β=.323; p.0001 and β=.063; p.04). However, in our model, depression and post-traumatic symptoms played a mediation role between insecure attachment and hypersexual behavior.This study found a fundamental role of insecure attachment styles, post-traumatic and depression symptoms in the development of problematic sexuality. Hypersexual behavior is related in a causal manner with an insecure attachment style, fearful and preoccupied attachment, particularly. Nevertheless, the traumatic core of personality together with depression symptoms could play a mediation role towards the hypersexual behavior.

Background Mechanisms worsening the development of Posttraumatic stress disorder (PTSD) symptoms among individuals affected by high-mortality epidemics are unclear. This study examined the prevalence of PTSD and related risk factors among populations affected by the Ebola virus disease (EVD) outbreak, and investigated whether peritraumatic distress mediates the impact of exposure level to EVD on PTSD symptoms, and the moderation role of stigmatization. Methods The sample included 1614 participants (50% women) affected by EVD in Democratic Republic of the Congo (DRC). Participants completed the PTSD Check-List for DSM-5, Peritraumatic Distress Inventory, and measures evaluating levels of exposure and stigmatization related to EVD. Descriptive analyses and a moderated mediation model were computed. Results A total of 58.81% participants (95% CI: 56.41%; 61.21%) met PTSD diagnostic criteria. Participants living in rural areas presented greater risk, while there is no significant difference between men and women. Peritraumatic distress mediated partially the association between exposure to EVD and PTSD symptoms. Moreover, this relationship was moderated by stigmatization related to EVD. Limitations As the design was cross-sectional, this study could not examine the causality of PTSD symptoms among communities affected by EVD. Conclusions This study shows high prevalence rates and important risk factors associated with PTSD in populations affected by EVD. It indicates elements that could help to develop and implement prevention and intervention programs in affected communities.

Background Posttraumatic stress disorder (PTSD) and depression are highly co-morbid among individuals with childhood abuse history, while the mechanism of the co-morbidity is highly debated. This study sought to extent the work among college students with network analysis, which is a novel method that sees the co-morbidity from a symptom interacting perspective. Methods Data was collected from 476 college students who were assessed to have childhood abuse history, PTSD and depression at the same time, using Childhood Trauma Questionnaire- Short Form, PTSD Checklist for DSM-5 and The Center for Epidemiological Studies Depression. We created a Graphical Gaussian Model (GGM) network to show associations between symptom pairs and a Directed Acyclic Graph (DAG) to estimate potential casual relationships among symptoms. Results The GGM network was reliably stable, feeling sad (Depression) and trouble experiencing positive feelings (PTSD) were the most central nodes. Trouble experiencing positive feelings and several negative affect symptoms, sleep problems and difficulty in concentrating were acting as important bridging nodes. The DAG network suggested the key triggering roles of exaggerated startle (PTSD) and several re-experiencing symptoms. Limitations The study used cross-sectional data and self-reported measures. Results from network analysis could be affected by scale factors and contain spurious correlations. Conclusions In the childhood-abuse-related co-morbid structure, several negative affect symptoms both in PTSD and depression have pivotal roles, hyper-arousal symptoms and re-experiencing symptoms could trigger the co-morbid structure. Illustrating the strength and limitations of network analysis, this study help target the potentially influential symptoms for better clinical intervention.

BACKGROUND: Violently bereaved individuals are at increased risk of developing severe and comorbid disorders. Comorbidity may increase psychiatric symptom severity and suicide risk and decrease psychosocial functioning compared with having one disorder. We aimed to identify subgroups of individuals with similar symptom patterns, describe prevalence rates and overall levels of prolonged grief disorder (PGD), posttraumatic stress disorder (PTSD), major depressive disorder (MDD), and generalized anxiety disorder (GAD) per class, and explore associations between class membership and personal and homicide related variables.METHODS: We investigated the comorbidity of symptoms of PGD, PTSD, MDD, and GAD in a sample of 923 treatment-seeking homicidally bereaved individuals by deploying latent class analysis.RESULTS: Three subgroups were identified: (i) a moderate distress, low depression class (12.4%), (ii) a high distress, moderate depression class (42.7%), and (iii) a high distress and high depression class (45.0%). Prevalence rates and total scores of the questionnaires followed the pattern of iii ≥ ii ≥ i (ps ≤ .001). Being female and having experienced prior life stress distinguished between all classes (ps ≤ .05).LIMITATIONS: The data-driven analytic approach and reliance on self-reported routine outcome monitoring data limit the generalizability and validity of the study. Strengths include the large sample size and the inclusion of four measures in a treatment-seeking, violently bereaved sample.CONCLUSIONS: Classes were most clearly distinguishable based on symptom severity, indicating high comorbidity following bereavement by homicide. This argues for an integrated treatment that targets different complaints simultaneously rather than successively.

Background After an acute myocardial infarction (MI 2 ), patients may develop posttraumatic stress disorder (PTSD 3 ). There is evidence for alterations in the hypothalamic–pituitary–adrenal axis in PTSD. An association between patients` cortisol level after experiencing an MI and subsequent PTSD symptoms has not been investigated yet. Therefore, the aim of this study was to examine whether serum cortisol measured in patients admitted to hospital for acute coronary care after MI is predictive of PTSD symptoms at three and 12 months post-MI, respectively. Methods Patients (N=106) with a verified MI and high risk for the development of MI-induced PTSD symptoms were included in the study within 48 hours of hospital admission for acute coronary intervention. Serum cortisol was measured from fasting venous blood samples the next morning. Hierarchical regression analysis was used to test for an independent contribution of cortisol levels from admission to the Clinician-Administered PTSD Scale sum score three and 12 months after discharge from the coronary care unit. Results Hierarchical regression analysis showed that lower serum cortisol levels were significantly associated with more severe PTSD symptoms three months (B=-0.002, p=0.042) and 12 months (B=-0.002, p=0.043) post-MI. Limitations The generalizability of the findings is limited to patients with high acute peri-traumatic distress and without an acute severe depressive episode. The study does not provide any information about the diurnal cortisol pattern. Conclusion Lower serum cortisol measured during MI hospitalization may predict more severe MI-induced PTSD symptoms three and 12 months after hospital discharge.

Background The COVID-19 pandemic has led to significant mental health consequences for frontline health care workers (FHCWs). However, no known study has examined the prevalence, determinants, or correlates of posttraumatic growth (PTG) in this population. Methods Data were analyzed from a prospective cohort of FHCWs at an urban tertiary care hospital in New York City (NYC). Assessments were conducted during the spring 2020 pandemic peak (Wave 1) and seven months later (Wave 2). Multivariable logistic regression analyses were conducted to identify Wave 1 sociodemographic, occupational, and psychosocial factors associated with PTG at Wave 2, and the association between aspects of PTG with burnout and pandemic-related PTSD symptoms at Wave 2. Results A total 76.8% of FHCWs endorsed moderate or greater PTG; the most prevalent domains were increased appreciation of life (67.0%), improved relationships (48.7%), and greater personal strength (44.1%). Non-White race/ethnicity, greater levels of positive emotions, pandemic-related PTSD symptoms, dispositional gratitude, and feelings of inspiration were independently associated with PTG. At Wave 2, endorsement of spiritual growth during the pandemic was associated with 52% and 44% lower odds of screening positive for pandemic-related PTSD symptoms and burnout, respectively; greater improvement in relationships was associated with 36% lower odds of screening positive for burnout. Limitations Single institution study and use of self-report instruments. Conclusions Nearly 4-of-5 FHCWs report pandemic-related PTG, driven largely by salutogenic factors assessed during the pandemic surge. Interventions to bolster these factors may help promote PTG and mitigate risk for burnout and pandemic-related PTSD symptoms in this population.

Background Social anxiety disorder (SAD) is a chronic and disabling psychiatric disorder associated with low levels of help-seeking. To date, however, scarce research has examined the epidemiology of SAD in veterans. This study examined the prevalence, comorbidities and incremental burden of SAD in relation to suicidality and functioning in a representative sample of U.S. military veterans. Methods A nationally representative sample of 3,157 U.S. veterans completed a web survey containing measures of SAD symptoms, trauma history, psychiatric history and functioning. Multivariable analyses were conducted to examine associations between SAD and psychiatric comorbidities, suicidality and functioning. Results A total 9.5% (n = 272) of the sample screened positive for lifetime SAD. Veterans with SAD were more likely than those without SAD to be younger, female, single, racial/ethnic minorities and to have experienced childhood abuse. They also had substantially elevated rates of comorbid psychiatric disorders, particularly lifetime major depression (odds ratio [OR]=5.8) and posttraumatic stress disorder (OR=3.1), as well as current suicidal ideation (OR=3.3). Veterans with SAD scored lower on measures of functioning, particularly social, emotional and mental health functioning (d’s=0.21–0.34). Limitations Data were collected cross-sectionally using self-report. Conclusions SAD in U.S. veterans is prevalent and associated with psychiatric comorbidities, functional impairment and a more than 3-fold greater risk for suicidal ideation . Given that SAD is associated with low treatment seeking and engagement, it may be undetected and undertreated relative to other psychiatric morbidities. These results underscore the importance of screening, monitoring and treating SAD in this population along with other prevalent mental disorders.

Background Posttraumatic stress disorder (PTSD) is a pervasive mental health condition with limited treatment success. Transcranial magnetic stimulation (TMS) has shown positive outcomes for people with PTSD, using different treatment protocols. This meta-analysis sought to examine which variables in TMS treatment are associated with treatment benefits. Methods A literature search of major online research databases from inception to September 15, 2020 was conducted to identify primary research studies using TMS to treat PTSD. Treatment effect data and TMS treatment variables were coded and analysed using a random effects model. Meta-regression and analyses of moderating variables were conducted to ascertain which variables were associated with significant treatment effects. Results An overall effect size of d = 1.17, 95% CI [0.89 – 1.45] for TMS as a treatment for PTSD was found. Analysis of moderators showed that there was a significantly larger treatment effect for high frequency TMS (d = 1.44) compared with low frequency (d = 0.72), p = .006; there was no significant difference between TMS targeting the left dorsolateral prefrontal cortex (DLPFC) and the right DLPFC; and larger treatment doses were not associated with stronger treatment effects. Limitations Not all published studies were available in English or reported the necessary data to be included in this meta-analysis. Conclusions TMS shows potential as a treatment for PTSD, although further research is required to understand the neurological mechanisms of TMS on specific PTSD symptoms so that more effective treatment can be designed for individuals.

Objective Mental health problems (MHP) are a relatively common consequence of deployment to war zones. Early identification of those at risk of post-deployment MHP would improve prevention efforts. However, screening instruments based on linear models have not been successful. Machine learning (ML) has shown promise for providing the methodological frame for better prognostic models. Methods The study population was all Danish military personnel deployed for the first time between January 1, 1992 and December 31, 2013. From extensive registry data, 21 pre- or at-deployment predictors comprising early adversity, social, clinical and demographic variables were used to predict psychiatric contacts (psychiatric diagnosis and/or use of psychotropic medicine) occurring within 6.5 years after homecoming. Four supervised ML methods (penalized logistic regression, random forests, support vector machines and gradient boosting machines) were compared in ability to classify those with high risk of post-deployment MHP and those without. Results Of 27594 subjects, 2175 (8%) had a psychiatric contact. All four ML methods applied had performances well above chance (Area under the Receiver-operating Curve 0.62-0.68). Positive predictive value for the best model was 0.16. A range of pre-deployment factors were found to be predictive of post-deployment psychiatric contacts. Conclusions ML methods can be useful in early identification of soldiers with high risk of MPH in the years following their first deployment. However, performances were modest and positive predictive values were low, limiting the applicability of the models for pre-deployment screening. Future studies should include neurobiological data and deployment experiences to increase accuracy of the models.