Estimating the risk of PTSD in recent trauma survivors: results of the International Consortium to Predict PTSD (ICPP)

Three distinct patterns of mental health response following accidents in mountain sports: a follow-up study of individuals treated at a tertiary trauma center

The restorative effect of physical activity in alpine environments on mental and physical health is well recognized. However, a risk of accidents and post-accident mental health problems is inherent to every sport. We aimed to characterize mental health in individuals following mountain sport accidents requiring professional medical management. Adult victims of mountain sport accidents treated at the hospital of the Medical University of Innsbruck (Austria) between 2018 and 2020 completed a cross-sectional survey at least 6 months following the admission (median 44 months, n = 307). Symptoms of post-traumatic stress disorder (PTSD, PCL-5), anxiety, depression, and somatization (PHQ), resilience (RS-13), sense of coherence (SOC-9L), post-traumatic growth (PTGI), and quality of life (EUROHIS-QOL), as well as sociodemographic and clinical information, were obtained from an online survey and extracted from electronic health records. Mental health outcome patterns were investigated by semi-supervised medoid clustering and modeled by machine learning. Symptoms of PTSD were observed in 19% of participants. Three comparably sized subsets of participants were identified: a (1) neutral, (2) post-traumatic growth, and (3) post-traumatic stress cluster. The post-traumatic stress cluster was characterized by high prevalence of symptoms of mental disorders, low resilience, low sense of coherence, and low quality of life as well as by younger age, the highest frequency of pre-existing mental disorders, and persisting physical health consequences of the accident. Individuals in this cluster self-reported a need for psychological or psychiatric support following the accident and more cautious behavior during mountain sports since the accident. Reliability of machine learning-based prediction of the cluster assignment based on 40 variables available during acute medical treatment of accident victims was limited. A subset of individuals show symptoms of mental health disorders including symptoms of PTSD when assessed at least 6 months after mountain sport accident. Since early identification of these vulnerable patients remains challenging, psychoeducational measures for all patients and low-threshold access to mental health support are key for a successful interdisciplinary management of victims of mountain sport accidents.

Posttraumatic stress disorder (PTSD) and complex PTSD in eating disorder treatment-seekers: Prevalence and associations with symptom severity

Although childhood trauma and posttraumatic stress disorder (PTSD) have been well-researched in eating disorder epidemiology, prevalence rates are unavailable for complex PTSD (CPTSD). Under recently introduced ICD-11 criteria, individuals with CPTSD have both PTSD symptoms and additional disturbances in self-organization (DSO). Using ICD-11 criteria, this study aimed to determine the prevalence of PTSD and DSO symptoms, diagnostic rates of PTSD and CPTSD, and childhood trauma exposure in eating disorder treatment-seekers. Participants (N = 217) were individuals attending residential, partial hospitalization, and outpatient services who completed measures of eating disorder- and trauma-related symptoms and childhood adverse experiences. One third of participants reported PTSD symptoms, and over half reported DSO symptoms, with probable ICD-11 diagnostic rates of 3.8% for PTSD and 28.4% for CPTSD. CPTSD was significantly more prevalent than PTSD and more common in higher levels of care. Both PTSD and DSO symptom severity were positively correlated with eating disorder symptoms and impairment, rs = .285-.642. DSO symptom severity was a significant and unique explanatory factor of eating disorder severity and impairment. The findings highlight the prevalence of CPTSD in eating disorder populations and the association between DSO symptoms and eating psychopathology independent of PTSD symptoms. Implications are discussed for adjunct treatment approaches for individuals with comorbid eating disorders and PTSD or CPTSD.

Sex Differences in Response Inhibition-Related Neural Predictors of Posttraumatic Stress Disorder in Civilians With Recent Trauma

BACKGROUND

Females are more likely to develop posttraumatic stress disorder (PTSD) than males. Impaired inhibition has been identified as a mechanism for PTSD development, but studies on potential sex differences in this neurobiological mechanism and how it relates to PTSD severity and progression are relatively rare. Here, we examined sex differences in neural activation during response inhibition and PTSD following recent trauma.

METHODS

Participants (n = 205, 138 female sex assigned at birth) were recruited from emergency departments within 72 hours of a traumatic event. PTSD symptoms were assessed 2 weeks and 6 months posttrauma. A Go/NoGo task was performed 2 weeks posttrauma in a 3T magnetic resonance imaging scanner to measure neural activity during response inhibition in the ventromedial prefrontal cortex, right inferior frontal gyrus, and bilateral hippocampus. General linear models were used to examine the interaction effect of sex on the relationship between our regions of interest and the whole brain, PTSD symptoms at 6 months, and symptom progression between 2 weeks and 6 months.

RESULTS

Lower response inhibition-related ventromedial prefrontal cortex activation 2 weeks posttrauma predicted more PTSD symptoms at 6 months in females but not in males, while greater response inhibition-related right inferior frontal gyrus activation predicted lower PTSD symptom progression in males but not females. Whole-brain interaction effects were observed in the medial temporal gyrus and left precentral gyrus.

CONCLUSIONS

There are sex differences in the relationship between inhibition-related brain activation and PTSD symptom severity and progression. These findings suggest that sex differences should be assessed in future PTSD studies and reveal potential targets for sex-specific interventions.

Advancing the understanding and treatment of post-traumatic stress disorder with computational modelling

The existing theories of post-traumatic stress disorder (PTSD) have inspired large volumes of research and have contributed substantially to our current knowledge base. However, most of the theories are of a qualitative and verbal nature, and may be difficult to evaluate and compare with each other. In this paper, we propose that one way forward is to use computational modelling to formulate more precise theories of PTSD that can be evaluated by (1) assessing whether the model can explain fundamental phenomena related to PTSD, and (2) comparing simulated outcomes with real data. Computational modelling can force us to describe processes more precisely and achieve stronger theories that are viable for testing. Establishing the theoretical groundwork before undertaking empirical studies can help us to avoid doing research with low probability of valid results, and counteract the replicability crisis in psychology. In conclusion, computational modelling is a promising avenue for advancing the understanding and treatment of PTSD.

Defining a screening tool for post-traumatic stress disorder in East Africa: a penalized regression approach

Background

Scalable PTSD screening strategies must be brief, accurate and capable of administration by a non-specialized workforce.

Methods

We used PTSD as determined by the structured clinical interview as our gold standard and considered predictors sets of (a) Posttraumatic Stress Checklist-5 (PCL-5), (b) Primary Care PTSD Screen for the DSM-5 (PC-PTSD) and, (c) PCL-5 and PC-PTSD questions to identify the optimal items for PTSD screening for public sector settings in Kenya. A logistic regression model using LASSO was fit by minimizing the average squared error in the validation data. Area under the receiver operating characteristic curve (AUROC) measured discrimination performance.

Results

Penalized regression analysis suggested a screening tool that sums the Likert scale values of two PCL-5 questions-intrusive thoughts of the stressful experience (#1) and insomnia (#21). This had an AUROC of 0.85 (using hold-out test data) for predicting PTSD as evaluated by the MINI, which outperformed the PC-PTSD. The AUROC was similar in subgroups defined by age, sex, and number of categories of trauma experienced (all AUROCs>0.83) except those with no trauma history- AUROC was 0.78.

Conclusion

In some East African settings, a 2-item PTSD screening tool may outperform longer screeners and is easily scaled by a non-specialist workforce.

Development of a brief bedside tool to screen women sexual assault survivors for risk of persistent posttraumatic stress six months after sexual assault

This study aims to develop and validate a brief bedside tool to screen women survivors presenting for emergency care following sexual assault for risk of persistent elevated posttraumatic stress symptoms (PTSS) six months after assault. Participants were 547 cisgender women sexual assault survivors who presented to one of 13 sexual assault nurse examiner (SANE) programs for medical care within 72 h of a sexual assault and completed surveys one week and six months after the assault. Data on 222 potential predictors from the SANE visit and the week one survey spanning seven broadly-defined risk factor domains were candidates for inclusion in the screening tool. Elevated PTSS six months after assault were defined as PCL-5 > 38. LASSO logistic regression was applied to 20 randomly selected bootstrapped samples to evaluate variable importance. Logistic regression models comprised of the top 10, 20, and 30 candidate predictors were tested in 10 cross-validation samples drawn from 80% of the sample. The resulting instrument was validated in the remaining 20% of the sample. AUC of the finalized eight-item prediction tool was 0.77 and the Brier Score was 0.19. A raw score of 41 on the screener corresponds to a 70% risk of elevated PTSS at 6 months. Similar performance was observed for elevated PTSS at one year. This brief, eight-item risk stratification tool consists of easy-to-collect information and, if validated, may be useful for clinical trial enrichment and/or patient screening.

Intensive longitudinal assessment following index trauma to predict development of PTSD using machine learning

There are significant challenges to identifying which individuals require intervention following exposure to trauma, and a need for strategies to identify and provide individuals at risk for developing PTSD with timely interventions. The present study seeks to identify a minimal set of trauma-related symptoms, assessed during the weeks following traumatic exposure, that can accurately predict PTSD. Participants were 2185 adults (Mean age=36.4 years; 64% women; 50% Black) presenting for emergency care following traumatic exposure. Participants received a 'flash survey' with 6-8 varying symptoms (from a pool of 26 trauma symptoms) several times per week for eight weeks following the trauma exposure (each symptom assessed ∼6 times). Features (mean, sd, last, worst, peak-end scores) from the repeatedly assessed symptoms were included as candidate variables in a CART machine learning analysis to develop a pragmatic predictive algorithm. PTSD (PCL-5 ≥38) was present for 669 (31%) participants at the 8-week follow-up. A classification tree with three splits, based on mean scores of nervousness, rehashing, and fatigue, predicted PTSD with an Area Under the Curve of 0.836. Findings suggest feasibility for a 3-item assessment protocol, delivered once per week, following traumatic exposure to assess and potentially facilitate follow-up care for those at risk.

Digital health-based exposure therapies for patients with posttraumatic stress disorder: A systematic review of randomized controlled trials

Although exposure therapies have established effects in treating posttraumatic stress disorder (PTSD), these therapies might be hindered by issues of cost, distance, time, and human resources, which are potentially alleviated by digital health. Despite the potential of digital health, there is currently no systematic review specifically evaluating digital health-based exposure therapies. We aimed to conduct a systematic literature review of randomized controlled trials (RCTs) examining the impact of digital health-based exposure therapies in treating patients with PTSD. A literature search was conducted from December 31, 2023, to February 22, 2024, using the PubMed, Web of Science, and PsycINFO databases. A total of 12 RCTs with 1,361 participants were included in the systematic review. These RCTs were conducted mainly in the United States and primarily enrolled military samples. Overall, the utility of digital health-based exposure therapies appeared plausible and comparable to that of in-person therapies. The dropout rate was counterintuitively high, potentially due to technological issues and the absence of personal connections. The findings suggest that digital health-based exposure therapies may potentially resolve the issues of cost, distance, time, and human resources in the treatment of patients with PTSD. Future RCTs should employ larger sample sizes. Addressing technological challenges and the absence of personal connection may be important in resolving the high dropout rate.

Correlates of post-traumatic stress disorder among adult residents of conflict-affected communities in Cross River State, Nigeria: a cross-sectional study

BACKGROUND

Conflict-affected communities in Nigeria experience a range of problems. These experiences have been associated with different types of mental disorders, most notably, post-traumatic stress disorder (PTSD).

AIM

This study sought to assess PTSD and its associated factors among adults in conflict-affected communities in Odukpani Local Government Area (LGA), Cross River State, Nigeria.

METHODS

A cross-sectional study was conducted using non-probability and probability sampling techniques. The sample size for this study was 486 conflict-affected adults. The symptoms of PTSD were assessed using the Harvard Trauma Questionnaire and a semistructured questionnaire was employed to collect data on sociodemographic and trauma-related characteristics. Data were analysed using descriptive statistics, χ2 and multivariable logistic regression.

RESULTS

The prevalence of PTSD in conflict-affected communities in Odukpani LGA, Cross River State, Nigeria was 73.9%. The multivariate analysis revealed that higher educational attainment (AOR 5.66; p<0.001; 95% CI 2.37 to 13.54), family size >4 (AOR 1.72; p=0.03; 95% CI 1.06 to 2.77), discrimination because of present status (AOR 1.96; p=0.03; 95% CI 1.26 to 3.06) and family history of mental illnesses (AOR 2.08; p=0.002; 95% CI 1.31 to 3.31) showed statistically significant relationships with PTSD in the study population.

CONCLUSION

A multisectoral approach for creating and routinely arranging mental health interventions and aid programmes aimed at improving social outcomes such as employment, living conditions and social networks for conflict-affected communities is recommended.

Can Baseline Patient Clinical and Demographic Characteristics Predict Response to Early Posttraumatic Stress Disorder Interventions After Physical Injury?

OBJECTIVE

A growing evidence base supports stepped care interventions for the early treatment of posttraumatic stress disorder (PTSD) after physical injury. Few investigations have examined the characteristics of patients who do and do not respond to these interventions.

METHOD

This investigation was a secondary analysis that used previously collected data from three randomized clinical trials of stepped care interventions (patient N = 498). The study hypothesized that a subgroup of patients would manifest persistent PTSD symptoms regardless of randomization to intervention or control conditions, and that characteristics present at the time of baseline injury hospitalization could distinguish patients who would develop persistent symptoms from potential treatment responders. Regression analyses identified baseline patient clinical and demographic characteristics that were associated with persistent PTSD symptoms over the 6-months post-injury. Additional analyses identified treatment attributes of intervention patients who were and were not likely to demonstrate persistent symptoms.

RESULTS

A substantial subgroup of patients (n = 222, 44.6%) demonstrated persistent PTSD symptoms over time. Greater numbers of pre-injury trauma, pre-injury PTSD symptoms, elevated early post-injury PTSD symptoms, unemployment, and non-White race identified patients with persistent symptoms. Patients with ≥3 of these baseline risk characteristics demonstrated diminished treatment responses when compared to patients with <3 characteristics. Intervention patients with ≥3 risk characteristics were less likely to engage in treatment and required greater amounts of interventionist time.

CONCLUSIONS

Injured trauma survivors have readily identifiable characteristics at the time of hospitalization that can distinguish responders to PTSD stepped care interventions versus patients who may be treatment refractory.

Comprehensive bioinformatics analysis of co-expressed genes of post-traumatic stress disorder and major depressive disorder

BACKGROUND

Post-traumatic stress disorder (PTSD) is one of the most serious sequelae of trauma with serious impact worldwide. Studies have suggested an association between PTSD and major depressive disorder (MDD), but the underlying common mechanisms remain unclear. This study aimed to further explore the molecular mechanism between PTSD and MDD via comprehensive bioinformatics analysis.

METHODS

The microarray data of PTSD and MDD were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) analysis and weighted gene co-expression network analysis (WGCNA) were performed to identify the co-expressed genes associated with PTSD and MDD. Gene Set Enrichment Analysis (GSEA), enrichment analyses based on Disease Ontology (DO), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed using R software. Then, R software was used for single-sample gene set enrichment analysis (ssGSEA) and immune infiltration analysis on the co-expressed genes in the two datasets., Therefore, a logistic regression model was constructed to predict PTSD and MDD using the R language. Ultimately, this study employed PTSD and MDD models to assess alterations in the expression of target genes within the mouse hippocampus.

RESULTS

Four core genes (GNAQ, DPEP3, ICAM2, PACSIN2) were obtained through different analyses, and these genes had predictive validity for PTSD and MDD, playing an important role in the common mechanism of PTSD and MDD. The study findings reveal decreased expression levels of DPEP3, GNAQ, and PACDIN2 in PTSD samples, accompanied by an increased expression of ICAM2. In MDD samples, the expression of DPEP3 and ICAM2 is reduced, whereas GNAQ and PACDIN2 show an increase in expression.

CONCLUSIONS

This study provides a new perspective on the common molecular mechanisms of PTSD and MDD. These common pathways and core genes may provide promising clues for further experimental studies.

Can the positive buffer the negative? Testing the impact of protective childhood experiences on adjustment in adults following trauma exposure

BACKGROUND

It is unclear if protective childhood experiences (PCEs), like emotional support and economic stability, exert influence on adulthood adjustment. Prior research suggests PCEs can promote childhood resilience through increased social connection. In contrast, research has demonstrated potential life-long negative impacts of adverse childhood experiences (ACEs) on psychological health. This study examined the role of PCEs and ACEs in psychological symptoms following potentially traumatic events (PTE) in adults.

METHODS

Participants (N = 128) were adults admitted to two Level 1 Trauma Centers following violence, motor-vehicle crashes, or other accidents. Participants reported childhood experiences and completed assessments of depression, PTSD, and social support at one, four, and nine months post-PTE.

RESULTS

Structural Equation Modeling was used to simultaneously model PCEs and ACEs as predictors of psychological symptoms over time, with potential mediation through social support. PCEs overall did not directly affect psychological symptoms nor indirectly through social support. However, the emotional support component of PCEs had an indirect effect on psychological symptoms at baseline through social support. ACEs predicted greater psychological symptoms at baseline and over time.

CONCLUSION

PCEs consisting of childhood emotional support indirectly promote adjustment in adults after PTEs through initial social support, while ACEs exert direct effects on psychological symptoms.

Diversity in emotion regulation strategy use: Resilience against posttraumatic stress disorder

Posttraumatic stress disorder (PTSD) is associated with impaired emotion regulation (ER). ER diversity, the variety, prevalence, and relative abundance of ER strategy use, may provide resilience against PTSD. This study examined the prospective relation between ER diversity and PTSD, while accounting for negative and positive life events, in interpersonal violence (IPV) survivors. IPV-exposed women with PTSD onset (PTSD; n = 22), without PTSD onset (IPV; n = 37), and non-traumatized control participants (NTC; n = 41) rated their ER strategy use and experience of negative and positive life events. The ER diversity index differentiated the participant groups. Importantly, group differences in ER diversity depended on the experience of life events. When experiencing fewer positive life events and more negative life events, the IPV and NTC groups, but not the PTSD group, demonstrated higher ER diversity. Thus, greater ER diversity during periods with more negative life events and fewer positive life events may play a protective role against PTSD onset for IPV survivors.

Community's perception of lockdown ascribed to the COVID-19 pandemic

Background

The COVID-19 pandemic caused a mandatory nationwide lockdown from March 24, 2020. In this difficult and unprecedented time, the requirement to adapt to lockdown and a forced stay-at-home had an impact on people's lives.

Aim

Community's perception of lockdown ascribed to COVID-19 pandemic.

Materials and Methods

A cross-sectional study was done on individuals aged 18 and above across India, to assess their perception regarding lockdown due to the COVID-19 pandemic. The study was carried out using a semi-structured questionnaire, where the data were collected via Google Forms and analyzed via Epi info 7. The questionnaire comprised of how individuals perceived the lockdown, and how COVID-19 news circulating on various social media platforms and news channels affected their mental health.

Results

The study included a total of 552 individuals. The study found that the lockdown was supported by 47% of respondents. 69.9% participants acknowledged that during lockdown, a huge amount of COVID-19 news was being disseminated, while 67.2% of individuals were overly preoccupied with thinking about preventative measures. As a result of being confined indoors, 59% of respondents thought their screen time had increased.

Conclusion

Respondents perceived that the lockdown had its benefits and drawbacks. They were impacted by the flood of information from various social media platforms as well and there was an increase in screen time.

Towards a more comprehensive understanding of PTSD and parenting

BACKGROUND

The impact of post-traumatic stress disorder (PTSD) on parenting and the parent-child relationship has been well-documented in the scientific literature. However, some conceptual and methodological challenges within this research field remain.

PROCEDURE

We reflect on a number of challenges that we identified while examining the literature in preparation of an individual participant data meta-analysis on the relationships between PTSD and parenting.

FINDINGS

We address 1) the presence of 'trauma-islands'; 2) the need for transdiagnostic theoretical frameworks for mechanisms between PTSD and parenting; 3) the lack of developmental perspectives; 4) the overuse of self-reported retrospective measures; 5) the need to study more diverse samples and cultural contexts; and 6) the lack of research on resilience and post-traumatic growth in parenting. Based on these reflections, we offer suggestions on strategies for responding to these challenges through: 1) welcoming open science; 2) working towards shared theoretical frameworks; 3) doing more longitudinal research 4) expanding the methodological palette; 5) centering lived experience; and 6) taking systemic inequality into account.

CONCLUSION

With this commentary, we aim to open a discussion on next steps towards a more comprehensive understanding of the association between PTSD and parenting, and inspire collaborative research.

Trauma-related and risk factors associated with perceived exacerbation in psychological distress due to the Russo-Ukrainian war

This study examined trauma-related and other potential risk factors associated with perceived exacerbation in psychological distress among Israelis due to the Russo-Ukrainian War. Specifically, we assessed how vulnerability factors such as previous traumatic exposure, having relatives and friends affected by the war, media exposure, having a Holocaust familial background, lower levels of resilience, and probable posttraumatic stress disorder (PTSD) and complex PTSD (CPTSD) are associated with perceived exacerbation in psychological distress. A random sample of 845 Israeli Jews aged 18-75 who reported exposure to at least one traumatic event participated in the study. Univariate logistic regression showed that Holocaust familial background, previous exposure to trauma, media exposure to the Russo-Ukrainian War, and probable diagnosis of PTSD or CPTSD are the main factors associated with perceived exacerbation in psychological distress. These results suggest that various traumatic factors associate with perceived higher psychological vulnerability to international conflicts, even when there is no direct personal threat. Practitioners should be aware of these factors among individuals exposed to trauma.

Integrated multi-omics analysis identifies epigenetic alteration related to neurodegeneration development in post-traumatic stress disorder patients

INTRODUCTION

Post-traumatic stress disorder (PTSD), is associated with an elevated risk of neurodegenerative disorders, but the molecular mechanism was not wholly identified. Aberrant methylation status and miRNA expression pattern have been identified to be associated with PTSD, but their complex regulatory networks remain largely unexplored.

METHODS

The purpose of this study was to identify the key genes/pathways related to neurodegenerative disorder development in PTSD by evaluating epigenetic regulatory signature (DNA methylation and miRNA) using an integrative bioinformatic analysis. We integrated DNA expression array data with miRNA and DNA methylation array data - obtained from the GEO database- to evaluate the epigenetic regulatory mechanisms.

RESULTS

Our results indicated that target genes of dysregulated miRNAs were significantly related to several neurodegenerative diseases. Several dysregulated genes in the neurodegeneration pathways interacted with some members of the miR-17 and miR-15/107 families. Our analysis indicated that APP/CaN/NFATs signaling pathway was dysregulated in the peripheral blood samples of PTSD. Besides, the DNMT3a and KMT2D genes, as the encoding DNA and histone methyltransferase enzymes, were upregulated, and DNA methylation and miRNA regulators were proposed as critical molecular mechanisms. Our study found dysregulation of circadian rhythm as the CLOCK gene was upregulated and hypomethylated at TSS1500 CpGs S_shores and was also a target of several dysregulated miRNAs.

CONCLUSION

In conclusion, we found evidence of a negative feedback loop between stress oxidative, circadian rhythm dysregulation, miR-17 and miR-15/107 families, some essential genes involved in neuronal and brain cell health, and KMT2D/DNMT3a in the peripheral blood samples of PTSD.

Predictors of alcohol and substance use among people with post-traumatic stress disorder (PTSD): findings from the NESARC-III study

PURPOSE

The self-medication hypothesis suggests people may develop Alcohol Use Disorder (AUD) or Non-Alcohol Substance Use Disorder (NA-SUD) following PTSD as a maladaptive way of coping with PTSD symptoms. Given that an accumulation of trauma experiences and interpersonal trauma increase the likelihood and severity of PTSD, we sought to determine whether the number and type of traumas additionally predict AUD and NA-SUD following PTSD.

METHODS

We analysed data from 36,309 adult participants in the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III) study (M = 45.63 years, SD = 17.53, 56.3% female) who were administered semi-structured diagnostic interviews of trauma exposure and PTSD, AUD and NA-SUD symptoms.

RESULTS

Individuals with PTSD were more likely to have an AUD or NA-SUD than those without PTSD. Endorsement of a greater number of traumas was associated with greater odds of having PTSD, AUD, or NA-SUD. Experience of interpersonal trauma was related to greater odds of having PTSD and subsequent AUD or NA-SUD than not experiencing interpersonal trauma. Multiple experiences of interpersonal trauma compared to one interpersonal trauma exposure also increased the odds of having PTSD followed by AUD or NA-SUD.

CONCLUSIONS

Interpersonal trauma and multiple experiences of interpersonal trauma may result in individuals turning to alcohol and substances as a way to alleviate intolerable PTSD symptomology, aligning with the self-medication hypothesis. Our findings highlight the importance of ensuring services and support for interpersonal trauma survivors and for those who have experienced multiple traumas given their increased for unfavourable outcomes.

A mild stressor induces short-term anxiety and long-term phenotypic changes in trauma-related behavior in female rats

Introduction

Anxiety and anxiety-influenced disorders are sexually dimorphic with women being disproportionately affected compared to men. Given the increased prevalence in women and the documented differences in anxiety and trauma behavior between male and female rats this paper sought to examine the link between stress, anxiety, and fear learning and extinction in female rats. We tested the hypothesis that a mild stressor will induce short-and long-term increases in anxiety and produce long term effects on subsequent fear learning and extinction behavior.

Methods

We induced anxiety in female Sprague- Dawley rats with a short (3 min) exposure to a ball of cat hair infused with 150 μl of cat urine (mild stressor) that elicits innate fear but does not cause fear conditioning. The control group was exposed to fake cat hair. Anxiety was assessed in the Light-Dark Open Field (LDOF) or Elevated Plus Maze (EPM) before, immediately after and 4 days after stimulus exposure. Two weeks later, all animals were subject to Contextual Fear Conditioning (CFC) in the Shock Arm of a Y-maze, blocked off from the rest of the maze. Memory and fear extinction (learning of safety) was assessed in the following four days by placing each rat in one of the Safe Arms and measuring avoidance extinction (time spent and number of entries in the Shock Arm).

Results

Cat hair exposure induced changes in anxiety-like behavior in the short-term that appeared resolved 4 days later. However, the cat-hair exposed rats had long-term (2 weeks) phenotypic changes expressed as altered exploratory behavior in an emotionally neutral novel place. Fear learning and extinction were not impaired. Yet, using avoidance extinction, we demonstrated that the phenotypic difference induced by the mild stressor could be documented and dissociated from learning and memory.

Discussion

These findings demonstrate that the history of stress, even mild stress, has subtle long-term effects on behavior even when short-term anxiety appears resolved.

Racial/ethnic differences in acute and longer-term posttraumatic symptoms following traumatic injury or illness

BACKGROUND

Racial/ethnic differences in mental health outcomes after a traumatic event have been reported. Less is known about factors that explain these differences. We examined whether pre-, peri-, and post-trauma risk factors explained racial/ethnic differences in acute and longer-term posttraumatic stress disorder (PTSD), depression, and anxiety symptoms in patients hospitalized following traumatic injury or illness.

METHODS

PTSD, depression, and anxiety symptoms were assessed during hospitalization and 2 and 6 months later among 1310 adult patients (6.95% Asian, 14.96% Latinx, 23.66% Black, 4.58% multiracial, and 49.85% White). Individual growth curve models examined racial/ethnic differences in PTSD, depression, and anxiety symptoms at each time point and in their rate of change over time, and whether pre-, peri-, and post-trauma risk factors explained these differences.

RESULTS

Latinx, Black, and multiracial patients had higher acute PTSD symptoms than White patients, which remained higher 2 and 6 months post-hospitalization for Black and multiracial patients. PTSD symptoms were also found to improve faster among Latinx than White patients. Risk factors accounted for most racial/ethnic differences, although Latinx patients showed lower 6-month PTSD symptoms and Black patients lower acute and 2-month depression and anxiety symptoms after accounting for risk factors. Everyday discrimination, financial stress, past mental health problems, and social constraints were related to these differences.

CONCLUSION

Racial/ethnic differences in risk factors explained most differences in acute and longer-term PTSD, depression, and anxiety symptoms. Understanding how these risk factors relate to posttraumatic symptoms could help reduce disparities by facilitating early identification of patients at risk for mental health problems.

Derivation and validation of risk prediction for posttraumatic stress symptoms following trauma exposure

BACKGROUND

Posttraumatic stress symptoms (PTSS) are common following traumatic stress exposure (TSE). Identification of individuals with PTSS risk in the early aftermath of TSE is important to enable targeted administration of preventive interventions. In this study, we used baseline survey data from two prospective cohort studies to identify the most influential predictors of substantial PTSS.

METHODS

Self-identifying black and white American women and men (n = 1546) presenting to one of 16 emergency departments (EDs) within 24 h of motor vehicle collision (MVC) TSE were enrolled. Individuals with substantial PTSS (⩾33, Impact of Events Scale - Revised) 6 months after MVC were identified via follow-up questionnaire. Sociodemographic, pain, general health, event, and psychological/cognitive characteristics were collected in the ED and used in prediction modeling. Ensemble learning methods and Monte Carlo cross-validation were used for feature selection and to determine prediction accuracy. External validation was performed on a hold-out sample (30% of total sample).

RESULTS

Twenty-five percent (n = 394) of individuals reported PTSS 6 months following MVC. Regularized linear regression was the top performing learning method. The top 30 factors together showed good reliability in predicting PTSS in the external sample (Area under the curve = 0.79 ± 0.002). Top predictors included acute pain severity, recovery expectations, socioeconomic status, self-reported race, and psychological symptoms.

CONCLUSIONS

These analyses add to a growing literature indicating that influential predictors of PTSS can be identified and risk for future PTSS estimated from characteristics easily available/assessable at the time of ED presentation following TSE.

Potentially Traumatic Events of Women of Color in an Urban Adult Basic Education Program

Adult Basic Education (ABE) in the United States is an important tool for underrepresented and underserved communities to achieve the goal of high school graduation following noncompletion of K-12 education. Largely in urban settings, ABE centers serve millions of students annually, especially historically and contemporarily marginalized groups. ABE provides critical resources and skills to meet the educational needs of diverse peoples seeking to advance their station in life. ABE centers may serve students with potentially traumatic events (PTE), diagnosable trauma, and related poorer outcomes. Alarmingly, a paucity of research exists that examines the presence of PTEs for ABE students, particularly people and women of color. In the present research, the Patient Health Questionnaire 9-item and Generalized Anxiety Disorder 7-item measures were used to weigh depression and anxiety scores across the Life Events Checklist for the DSM-5 (LEC-5) trauma types in a sample (N=170) of predominantly women of color. We examined three respondent groups based on proximity and frequency of PTEs: (1) denied; (2) witnessed/learned about; and (3) experienced. Results indicate that those experiencing higher levels of PTEs (namely, sexual assault, unwanted/uncomfortable sexual experience, and sudden accidental death) also experienced higher ratings of depression and anxiety. More research is indicated, as women of color within ABE settings could benefit from tailored resources for prevention, intervention, and treatment.

A Mendelian randomization study of genetic liability to post-traumatic stress disorder and risk of ischemic stroke

Observational studies have shown an association between post-traumatic stress disorder (PTSD) and ischemic stroke (IS) but given the susceptibility to confounding it is unclear if these associations represent causal effects. Mendelian randomization (MR) facilitates causal inference that is robust to the influence of confounding. Using two sample MR, we investigated the causal effect of genetic liability to PTSD on IS risk. Ancestry-specific genetic instruments of PTSD and four quantitative sub-phenotypes of PTSD, including hyperarousal, avoidance, re-experiencing, and total symptom severity score (PCL-Total) were obtained from the Million Veteran Programme (MVP) using a threshold P value (P) of <5 × 10-7, clumping distance of 1000 kilobase (Mb) and r2 < 0.01. Genetic association estimates for IS were obtained from the MEGASTROKE consortium (Ncases = 34,217, Ncontrols = 406,111) for European ancestry individuals and from the Consortium of Minority Population Genome-Wide Association Studies of Stroke (COMPASS) (Ncases = 3734, Ncontrols = 18,317) for African ancestry individuals. We used the inverse-variance weighted (IVW) approach as the main analysis and performed MR-Egger and the weighted median methods as pleiotropy-robust sensitivity analyses. In European ancestry individuals, we found evidence of an association between genetic liability to PTSD avoidance, and PCL-Total and increased IS risk (odds ratio (OR)1.04, 95% Confidence Interval (CI) 1.007-1.077, P = 0.017 for avoidance and (OR 1.02, 95% CI 1.010-1.040, P = 7.6 × 10-4 for PCL total). In African ancestry individuals, we found evidence of an association between genetically liability to PCL-Total and reduced IS risk (OR 0.95 (95% CI 0.923-0.991, P = 0.01) and hyperarousal (OR 0.83 (95% CI 0.691-0.991, P = 0.039) but no association was observed for PTSD case-control, avoidance, or re-experiencing. Similar estimates were obtained with MR sensitivity analyses. Our findings suggest that specific sub-phenotypes of PTSD, such as hyperarousal, avoidance, PCL total, may have a causal effect on people of European and African ancestry's risk of IS. This shows that the molecular mechanisms behind the relationship between IS and PTSD may be connected to symptoms of hyperarousal and avoidance. To clarify the precise biological mechanisms involved and how they may vary between populations, more research is required.

Prior differences in previous trauma exposure primarily drive the observed racial/ethnic differences in posttrauma depression and anxiety following a recent trauma

BACKGROUND

Racial and ethnic groups in the USA differ in the prevalence of posttraumatic stress disorder (PTSD). Recent research however has not observed consistent racial/ethnic differences in posttraumatic stress in the early aftermath of trauma, suggesting that such differences in chronic PTSD rates may be related to differences in recovery over time.

METHODS

As part of the multisite, longitudinal AURORA study, we investigated racial/ethnic differences in PTSD and related outcomes within 3 months after trauma. Participants (n = 930) were recruited from emergency departments across the USA and provided periodic (2 weeks, 8 weeks, and 3 months after trauma) self-report assessments of PTSD, depression, dissociation, anxiety, and resilience. Linear models were completed to investigate racial/ethnic differences in posttraumatic dysfunction with subsequent follow-up models assessing potential effects of prior life stressors.

RESULTS

Racial/ethnic groups did not differ in symptoms over time; however, Black participants showed reduced posttraumatic depression and anxiety symptoms overall compared to Hispanic participants and White participants. Racial/ethnic differences were not attenuated after accounting for differences in sociodemographic factors. However, racial/ethnic differences in depression and anxiety were no longer significant after accounting for greater prior trauma exposure and childhood emotional abuse in White participants.

CONCLUSIONS

The present findings suggest prior differences in previous trauma exposure partially mediate the observed racial/ethnic differences in posttraumatic depression and anxiety symptoms following a recent trauma. Our findings further demonstrate that racial/ethnic groups show similar rates of symptom recovery over time. Future work utilizing longer time-scale data is needed to elucidate potential racial/ethnic differences in long-term symptom trajectories.

PTSD in the Year Following Sexual Assault: A Meta-Analysis of Prospective Studies

OBJECTIVE

Sexual assault is associated with higher rates of posttraumatic stress disorder (PTSD) than other traumas, and the course of PTSD may differ by trauma type. However, the course of PTSD after sexual assault has not been summarized. The aim of this meta-analysis was to identify the prevalence and severity of PTSD and changes to the average rate of recovery in the 12 months following sexual assault.

METHOD

Authors searched four databases for prospective studies published before April 2020 and sought relevant unpublished data. Eligible studies assessed PTSD in at least 10 survivors of sexual assault in at least two time points, starting within 3 months postassault. Random effects linear-linear piecewise models were used to identify changes in average recovery rate and produce model-implied estimates of monthly point prevalence and mean symptom severity.

RESULTS

Meta-analysis of 22 unique samples (N = 2,106) indicated that 74.58% (95% confidence interval [CI]: [67.21, 81.29]) and 41.49% (95% CI: [32.36, 50.92]) of individuals met diagnostic criteria for PTSD at the first and 12th month following sexual assault, respectively. PTSD symptom severity was 47.94% (95% CI: [41.27, 54.61]) and 29.91% (95% CI: [23.10, 36.73]) of scales' maximum severity at the first and 12th month following sexual assault, respectively. Most symptom recovery occurred within the first 3 months following sexual assault, after which point the average rate of recovery slowed.

CONCLUSIONS

Findings indicate that PTSD is common and severe following sexual assault, and the first 3 months postassault may be a critical period for natural recovery.

Dynamics of diurnal cortisol and alpha-amylase secretion and their associations with PTSD onset in recent interpersonal trauma survivors

BACKGROUND

Dysfunction in major stress response systems during the acute aftermath of trauma may contribute to risk for developing posttraumatic stress disorder (PTSD). The current study investigated how PTSD diagnosis and symptom severity, depressive symptoms, and childhood trauma uniquely relate to diurnal neuroendocrine secretion (cortisol and alpha-amylase rhythms) in women who recently experienced interpersonal trauma compared to non-traumatized controls (NTCs).

METHOD

Using a longitudinal design, we examined diurnal cortisol and alpha-amylase rhythms in 98 young women (n = 57 exposed to recent interpersonal trauma, n = 41 NTCs). Participants provided saliva samples and completed symptom measures at baseline and 1-, 3-, and 6-month follow-up.

RESULTS

Multilevel models (MLMs) revealed lower waking cortisol predicted the development of PTSD in trauma survivors and distinguished at-risk women from NTCs. Women with greater childhood trauma exposure exhibited flatter diurnal cortisol slopes. Among trauma-exposed individuals, lower waking cortisol levels were associated with higher concurrent PTSD symptom severity. Regarding alpha-amylase, MLMs revealed women with greater childhood trauma exposure exhibited higher waking alpha-amylase and slower diurnal alpha-amylase increase.

CONCLUSIONS

Results suggest lower waking cortisol in the acute aftermath of trauma may be implicated in PTSD onset and maintenance. Findings also suggest childhood trauma may predict a different pattern of dysfunction in stress response systems following subsequent trauma exposure than the stress system dynamics associated with PTSD risk; childhood trauma appears to be associated with flattened diurnal cortisol and alpha-amylase slopes, as well as higher waking alpha-amylase.

Opportunities for improving data sharing and FAIR data practices to advance global mental health

It is crucial to optimize global mental health research to address the high burden of mental health challenges and mental illness for individuals and societies. Data sharing and reuse have demonstrated value for advancing science and accelerating knowledge development. The FAIR (Findable, Accessible, Interoperable, and Reusable) Guiding Principles for scientific data provide a framework to improve the transparency, efficiency, and impact of research. In this review, we describe ethical and equity considerations in data sharing and reuse, delineate the FAIR principles as they apply to mental health research, and consider the current state of FAIR data practices in global mental health research, identifying challenges and opportunities. We describe noteworthy examples of collaborative efforts, often across disciplinary and national boundaries, to improve Findability and Accessibility of global mental health data, as well as efforts to create integrated data resources and tools that improve Interoperability and Reusability. Based on this review, we suggest a vision for the future of FAIR global mental health research and suggest practical steps for researchers with regard to study planning, data preservation and indexing, machine-actionable metadata, data reuse to advance science and improve equity, metrics and recognition.

A longitudinal assessment of posttraumatic stress symptoms and pain catastrophizing after injury

PURPOSE/OBJECTIVE

Identifying individuals with high levels of pain catastrophizing (PC) may inform early psychological interventions to prevent the transition from acute to chronic post-injury pain. We examined whether pre-and post-injury posttraumatic stress symptoms (PTSS) predict post-injury PC among emergency department (ED) patients following acute motor vehicle crash (MVC).

RESEARCH METHOD/DESIGN

This study represents secondary data analysis of a randomized clinical trial (NCT03247179) examining the efficacy of the PTSD Coach app on post-injury PTSS (PTSSpost). Among 63 injured ED patients (63% female; 57% non-White; average age = 37) with moderate pain (≥4 of 10), we assessed recall of pre-injury PTSS (PTSSrecall: stemming from preexisting exposures) and baseline PC within 24 hr post-MVC; PTSSpost stemming from the MVC was assessed 30-days later, and the outcome of PC was assessed at 90-days post-injury. We controlled for group assignment (intervention vs. control) in all analyses.

RESULTS

Results revealed that at baseline and 90-days, PC was higher among non-White versus White participants. After adjusting for relevant covariates, PTSSrecall uniquely predicted post-injury PC and each subscale of PC (helplessness, magnification, and rumination). Similarly, after controlling for PTSSrecall and relevant covariates, PTSSpost uniquely predicted total and subscale post-injury PC. Intervention group participants reported less rumination than control group participants.

CONCLUSIONS/IMPLICATIONS

These novel findings highlight that injured Black patients may be vulnerable to post-injury PC, and that both PTSSrecall and PTSSpost significantly predict post-injury PC. Brief PTSS assessment in the ED can identify high-risk patients who may benefit from early intervention. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Early self-reported post-traumatic stress symptoms after trauma exposure and associations with diagnosis of post-traumatic stress disorder at 3 months: latent profile analysis

BACKGROUND

Trauma exposure can cause post-traumatic stress symptoms (PTSS), and persistently experiencing PTSS may lead to the development of post-traumatic stress disorder (PTSD). Research has shown that PTSS that emerged within days of trauma was a robust predictor of PTSD development.

AIMS

To investigate patterns of early stress responses to trauma and their associations with development of PTSD.

METHOD

We recruited 247 civilian trauma survivors from a local hospital emergency department. The PTSD Checklist for DSM-5 (PCL-5) and Acute Stress Disorder Scale (ASDS) were completed within 2 weeks after the traumatic event. Additionally, 3 months post-trauma 146 of these participants completed a PTSD diagnostic interview using the Clinician Administered PTSD Scale for DSM-5.

RESULTS

We first used latent profile analysis on four symptom clusters of the PCL-5 and the dissociation symptom cluster of the ASDS and determined that a four-profile model ('severe symptoms', 'moderate symptoms', 'mild symptoms', 'minimal symptoms') was optimal based on multiple fit indices. Gender was found to be predictive of profile membership. We then found a significant association between subgroup membership and PTSD diagnosis (χ2(3) = 11.85, P < 0.01, Cramer's V = 0.263). Post hoc analysis revealed that this association was driven by participants in the 'severe symptoms' profile, who had a greater likelihood of developing PTSD.

CONCLUSIONS

These findings fill the knowledge gap of identifying possible subgroups of individuals based on their PTSS severity during the early post-trauma period and investigating the relationship between subgroup membership and PTSD development, which have important implications for clinical practice.

Altered brain activity and functional connectivity after MDMA-assisted therapy for post-traumatic stress disorder

Introduction

3,4-methylenedioxymethamphetamine-assisted therapy (MDMA-AT) for post-traumatic stress disorder (PTSD) has demonstrated promise in multiple clinical trials. MDMA is hypothesized to facilitate the therapeutic process, in part, by decreasing fear response during fear memory processing while increasing extinction learning. The acute administration of MDMA in healthy controls modifies recruitment of brain regions involved in the hyperactive fear response in PTSD such as the amygdala, hippocampus, and insula. However, to date there have been no neuroimaging studies aimed at directly elucidating the neural impact of MDMA-AT in PTSD patients.

Methods

We analyzed brain activity and connectivity via functional MRI during both rest and autobiographical memory (trauma and neutral) response before and two-months after MDMA-AT in nine veterans and first-responders with chronic PTSD of 6 months or more.

Results

We hypothesized that MDMA-AT would increase amygdala-hippocampus resting-state functional connectivity, however we only found evidence of a trend in the left amygdala-left hippocampus (t = -2.91, uncorrected p = 0.0225, corrected p = 0.0901). We also found reduced activation contrast (trauma > neutral) after MDMA-AT in the cuneus. Finally, the amount of recovery from PTSD after MDMA-AT correlated with changes in four functional connections during autobiographical memory recall: the left amygdala-left posterior cingulate cortex (PCC), left amygdala-right PCC, left amygdala-left insula, and left isthmus cingulate-left posterior hippocampus.

Discussion

Amygdala-insular functional connectivity is reliably implicated in PTSD and anxiety, and both regions are impacted by MDMA administration. These findings compliment previous research indicating that amygdala, hippocampus, and insula functional connectivity is a potential target of MDMA-AT, and highlights other regions of interest related to memory processes. More research is necessary to determine if these findings are specific to MDMA-AT compared to other types of treatment for PTSD.

Clinical trial registration

https://clinicaltrials.gov/ct2/show/NCT02102802, identifier NCT02102802.

Posttraumatic stress disorder and depression after the 2018 Strasbourg Christmas Market terrorist attack: a comparison of exposed and non-exposed police personnel

Background: Police personnel are among the first responders exposed to terrorist attacks, raising in number in the late decades. Due to their profession, they are also exposed to repetitive violence, increasing their vulnerability to PTSD and depression.Objective: Our study aims at comparing the prevalence of PTSD and depression, and the risk factors associated with these conditions among directly and indirectly exposed versus non-exposed police personnel during the Strasbourg Christmas Market terrorist attack.Method: Three months after the attack, participants completed a survey assessing their sociodemographic characteristics, occupational data, degree of exposure, sleep debt around the event, event centrality (CES), and three mental health conditions: PTSD (PCL-5), depression (PHQ-9), and suicide risk (yes/no questions).Results: A total of 475 police personnel responded to the questionnaire: 263 were exposed to the attack (182 of them directly) and 212 were non-exposed. Among directly exposed participants, the prevalences of partial and complete PTSD were 12.6 and 6.6%, and the prevalence of moderate-to-severe depression was 11.5%. Multivariate analysis revealed that direct exposure was associated with a higher risk of PTSD (OR = 2.98 [1.10-8.12], p = .03). Direct exposure was not associated with a higher risk of depression (OR = 0.40 [0.10-1.10], p = .08). A significant sleep debt after the event was not associated with a higher risk of later PTSD (OR = 2.18 [0.81-5.91], p = .13) but was associated with depression (OR = 7.92 [2.40-26.5], p < .001). A higher event centrality was associated with both PTSD and depression (p < .001).Conclusions: Police personnel directly exposed to the Strasbourg Christmas Market terrorist attack were at higher risk of PTSD but not depression. Efforts to prevent and treat PTSD should focus on directly exposed police personnel. However, general mental health should be monitored for every personnel member.

Data sharing and re-use in the traumatic stress field: An international survey of trauma researchers

BACKGROUND

The FAIR data principles aim to make scientific data more Findable, Accessible, Interoperable, and Reusable. In the field of traumatic stress research, FAIR data practices can help accelerate scientific advances to improve clinical practice and can reduce participant burden. Previous studies have identified factors that influence data sharing and re-use among scientists, such as normative pressure, perceived career benefit, scholarly altruism, and availability of data repositories. No prior study has examined researcher views and practices regarding data sharing and re-use in the traumatic stress field.

OBJECTIVE

To investigate the perspectives and practices of traumatic stress researchers around the world concerning data sharing, re-use, and the implementation of FAIR data principles in order to inform development of a FAIR Data Toolkit for traumatic stress researchers.

METHOD

A total of 222 researchers from 28 countries participated in an online survey available in seven languages, assessing their views on data sharing and re-use, current practices, and potential facilitators and barriers to adopting FAIR data principles.

RESULTS

The majority of participants held a positive outlook towards data sharing and re-use, endorsing strong scholarly altruism, ethical considerations supporting data sharing, and perceiving data re-use as advantageous for improving research quality and advancing the field. Results were largely consistent with prior surveys of scientists across a wide range of disciplines. A significant proportion of respondents reported instances of data sharing and re-use, but gold standard practices such as formally depositing data in established repositories were reported as infrequent. The study identifies potential barriers such as time constraints, funding, and familiarity with FAIR principles.

CONCLUSIONS

These results carry crucial implications for promoting change and devising a FAIR Data Toolkit tailored for traumatic stress researchers, emphasizing aspects such as study planning, data preservation, metadata standardization, endorsing data re-use, and establishing metrics to assess scientific and societal impact.

Predicting PTSD symptoms in firefighters using a fear-potentiated startle paradigm and machine learning

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.

Associations between parent posttraumatic stress symptoms (PTSS) and later child PTSS: Results from an international data archive

The extant literature indicates that parent and child posttraumatic stress symptoms (PTSS) are associated. However, the magnitude of this association at different time points and in the context of covariates has been difficult to quantify due to the methodological limitations of past studies, including small sample sizes. Using data from the Prospective studies of Acute Child Trauma and Recovery Data Archive, we harmonized participant-level parent and child data from 16 studies (N = 1,775 parent-child dyads) that included prospective assessment of PTSS during both the acute and later posttrauma periods (i.e., 1-30 days and 3-12 months after exposure to a potentially traumatic event, respectively). Parent and child PTSS demonstrated small-to-moderate cross-sectional, ρs = .22-.27, 95% CI [.16, .32], and longitudinal associations, ρ = .30, CI [.23, .36]. Analyses using actor-partner interdependence models revealed that parent PTSS during the acute trauma period predicted later child PTSS. Regression analyses demonstrated that parent gender did not moderate the association between parent and child PTSS. The findings suggest that parent PTSS during the acute and later posttrauma periods may be one of a constellation of risk factors and indicators for child PTSS.

Use of Cannabidiol (CBD) oil in the treatment of PTSD: Study design and rationale for a placebo-controlled randomized clinical trial

BACKGROUND

The burden of illness for PTSD is staggering and confers significant interference in work, social functioning, as well as increased risk for other physical and mental health problems. Recently, there's been considerable attention paid to the potential therapeutic use of cannabidiol (CBD) products in the treatment of a variety of physical and mental health problems. The endocannabinoid system (ECS) is a logical therapeutic target for combating PTSD and other fear-based disorders given that cannabinoid receptors and other molecular mediators crucial for ECS signaling are richly expressed in a variety of brain regions that govern the regulation of learned fear and defensive behavior.

METHODS

This is an 8-week single-site Phase II randomized double-blind placebo-controlled fixed dose clinical trial. Participants recruited throughout the United States (N = 150) meeting DSM-5 criteria for posttraumatic stress disorder are randomly assigned to one of three treatment arms: (a) 300 mg CBD Isolate; (b) 300 mg CBD Broad Spectrum; and (c) Placebo oil. The primary outcome is PTSD symptom severity as indexed by the PTSD Checklist for DSM-5 (PCL-5) assessed at post treatment (Week 9) and follow-up (Week 13). Secondary outcomes including patient-rated depression, overall disability, anxiety, quality of life, and alcohol use are assessed weekly throughout the trial. Safety and CBD adherence are assessed daily throughout the trial.

CONCLUSION

This is the first placebo-controlled clinical trial investigating (a) CBD for the treatment of PTSD; and (b) the first study to test the relative efficacy of CBD Isolate vs CBD Broad Spectrum. Trial registration ClinicalTrials.gov registered (12/12/2019), trial identifier NCT04197102.

PROTOCOL VERSION

issued 08/04/2022, protocol amendment number #2019-05-0123.

Prevalence and predictors of post-traumatic stress symptoms in 2200 hospitalised and non-hospitalised injured New Zealanders

OBJECTIVE

Post-traumatic stress disorder following injuries unrelated to mass casualty events has received little research attention in New Zealand. Internationally, most studies investigating predictors of post-injury post-traumatic stress disorder focus on hospitalised patients although most survivors are not hospitalised. We compared the prevalence and predictors of symptoms suggestive of post-traumatic stress disorder 12 months following injury among hospitalised and non-hospitalised entitlement claimants in New Zealand's Accident Compensation Corporation. This government-funded universal no-fault insurance scheme replaced tort-based compensation for injuries in 1974 since when civil litigation (which can bias post-traumatic stress disorder estimates) has been rare.

METHODS

A total of 2220 Accident Compensation Corporation claimants aged 18-64 years recruited to the Prospective Outcomes of Injury Study were interviewed at 12 months post-injury to identify symptoms suggestive of post-traumatic stress disorder using the Impact of Events Scale. Multivariable models examined the extent to which baseline sociodemographic, injury, health status and service interaction factors predicted the risk of post-traumatic stress disorder symptoms among hospitalised and non-hospitalised groups.

RESULTS

Symptoms suggestive of post-traumatic stress disorder were reported by 17% of hospitalised and 12% of non-hospitalised participants. Perceived threat to life at the time of the injury doubled this risk among hospitalised (adjusted relative risk: 2.0; 95% confidence interval: 1.2-3.2) and non-hospitalised (relative risk: 1.8; 95% confidence interval: 1.2-2.8) participants. Among hospitalised participants, other predictors included female gender, Pacific and 'other' minority ethnic groups, pre-injury depressive symptoms, financial insecurity and perceived inadequacies in healthcare interactions, specifically information and time to discuss problems. Among non-hospitalised survivors, predictors included smoking, hazardous drinking, assault and poor expectations of recovery.

CONCLUSION

One in six hospitalised and one in eight non-hospitalised people reported post-traumatic stress disorder symptoms 12 months following injury. Perceived threat to life was a strong predictor of this risk in both groups. Identifying early predictors of post-traumatic stress disorder, regardless of whether the injury required hospitalisation, could help target tailored interventions that can reduce longer-term psychosocial morbidity.

A clinician-monitored 'PTSD Coach' intervention: findings from two pilot feasibility and acceptability studies in a resource-constrained setting

Background: The high prevalence of trauma exposure and consequent post-traumatic stress disorder (PTSD) is well documented in low- and middle-income countries, and most individuals with PTSD have limited access to treatment in these settings. Freely available internet-based interventions, such as PTSD Coach (web-based and mobile application), can help to address this gap and improve access to and efficiency of care. Objective: We conducted two pilot studies to evaluate the feasibility, acceptability, and preliminary effectiveness of PTSD Coach in a South African resource-constrained context. Method: Pilot 1: Participants with PTSD (n = 10) were randomized to counsellor-supported PTSD Coach Online (PCO) or enhanced treatment as usual. Pilot 2: Participants (n = 10) were randomized to counsellor-supported PTSD Coach Mobile App or self-managed PTSD Coach Mobile App. Feasibility and acceptability were assessed by comparing attrition rates (loss to follow-up), reviewing participant and counsellor feedback contained in fieldnotes, and analysing data on the 'Perceived helpfulness of the PTSD Coach App' (Pilot 2). PTSD symptom severity was assessed with the Clinician Administered PTSD Scale for DSM-5 (CAPS-5), changes between treatment and control groups were compared, the reliable change index (RCI) was calculated, and clinically significant changes were determined. Results: Three participants in Pilot 1 and two participants in Pilot 2 were lost to follow-up. Fieldnotes indicated that PTSD Coach Mobile App addressed identified computer literacy challenges in Pilot 1 (PCO); and a shorter duration of intervention (from 8 to 4 weeks) was associated with less attrition. The RCI indicated that four participants in Pilot 1 and eight participants in Pilot 2 experienced significant improvement in PTSD symptom severity. Conclusions: The preliminary results suggest that both platforms can alleviate PTSD symptoms, and that the involvement of volunteer counsellors is beneficial. The use of PTSD Coach Mobile App may be more feasible than the online version (PCO) in our setting. HIGHLIGHTS Research on supported PTSD Coach interventions is limited in resource-constrained settings.Both volunteer counsellor-supported PTSD Coach Online and the PTSD Coach Mobile App showed preliminary reliable and clinically significant changes.The use of PTSD Coach Mobile App seems more feasible than the volunteer counsellor-supported PTSD Coach Online.

Early interventions for post-traumatic stress following musculoskeletal trauma: protocol for a systematic review and meta-analysis

INTRODUCTION

Post-traumatic stress symptoms (PTSS) can be triggered following exposure to a traumatic event, such as violence, disasters, serious accidents and injury. Little is known about which interventions provide the greatest benefit for PTSS. This systematic review aims to estimate the effects of early interventions on PTSS following musculoskeletal trauma.

METHODS/ANALYSIS

Development of this review protocol was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols checklist. This review will include randomised controlled trials and non-randomised controlled studies evaluating the effect of early (within 3 months of a traumatic event) non-pharmacological and non-surgical interventions on PTSS in adults (aged ≥18 years). MEDLINE, PsycINFO, Embase, CINAHL, Zetoc, PROSPERO, Web of Science, PubMed and Google Scholar, as well as key journals/grey literature, will be searched from inception to 31 July 2022. Only articles published in English will be considered. Two independent reviewers will search, screen studies, extract data and assess risk of bias using the Cochrane Risk of Bias tool V.2 (RoB 2) and the Risk Of Bias in Non-randomised Studies of Interventions (ROBINS-I), respectively. Mean difference or standardised mean difference (SMD) will be extracted with accompanying 95% CIs and p values where these are reported. Group effect size will be extracted and reported. Symptoms of PTSS will be ascertained using SMDs (continuous) and diagnosis of PTSS using risk ratio (dichotomous). If possible, study results will be pooled into a meta-analysis. A narrative synthesis of the results will be presented if heterogeneity is high. The overall quality of evidence and risk of bias will be assessed using the Grading of Recommendations Assessment, Development and Evaluation, RoB 2 and ROBINS-I guidelines, respectively.

ETHICS AND DISSEMINATION

Ethical approval is not required for this systematic review since data from published studies will be used. This review is expected to provide a better understanding of the effect of early intervention for PTSS following musculoskeletal trauma. Findings of this review will be disseminated in peer-reviewed publications and through national and international conferences.

PROSPERO REGISTRATION NUMBER

CRD42022333905.

Association of Sociodemographic and Psychosocial Factors With COVID-19-Related Post-Traumatic Stress Disorder Risk Group Among Medical Students

OBJECTIVE

Several previous studies have reported the negative psychological impact of the coronavirus disease (COVID-19) pandemic on medical students worldwide. This study investigated the sociodemographic and psychosocial factors associated with COVID-19-related post-traumatic stress disorder (PTSD) risk among medical students in Daegu, a region that experienced a high concentration of infections.

METHODS

A total of 270 students completed the self-reported questionnaires including COVID-19 exposure, psychological measurement, and sociodemographic factors. We evaluated the COVID-19-related PTSD risk group using the Korean version of the Impact of Event Scale-Revised. Logistic regression analysis was performed to evaluate the odds ratio for the COVID-19-related PTSD risk group in sociodemographic and psychosocial factors.

RESULTS

The prevalence of the COVID-19-related PTSD risk group was 10.4% in medical students. Among sociodemographic factors, lower grades (specially, first-year medical students) and current smokers were associated with the COVID-19-related PTSD risk. Indirect exposure to COVID-19 was also associated with this risk. Meanwhile, having higher resilience, self-esteem, and social support were less likely to be associated with COVID-19-related PTSD risk.

CONCLUSION

This study suggested that it is necessary to develop a system for the screening and managing of COVID-19-related PTSD risk group among medical students, especially high-risk groups during the COVID-19 pandemic.

Predicting Posttraumatic Stress Disorder Among Survivors of Recent Interpersonal Violence

A substantial minority of women who experience interpersonal violence will develop posttraumatic stress disorder (PTSD). One critical challenge for preventing PTSD is predicting whose acute posttraumatic stress symptoms will worsen to a clinically significant degree. This 6-month longitudinal study adopted multilevel modeling and exploratory machine learning (ML) methods to predict PTSD onset in 58 young women, ages 18 to 30, who experienced an incident of physical and/or sexual assault in the three months prior to baseline assessment. Women completed baseline assessments of theory-driven cognitive and neurobiological predictors and interview-based measures of PTSD diagnostic status and symptom severity at 1-, 3-, and 6-month follow-ups. Higher levels of self-blame, generalized anxiety disorder severity, childhood trauma exposure, and impairment across multiple domains were associated with a pattern of high and stable posttraumatic stress symptom severity over time. Predictive performance for PTSD onset was similarly strong for a gradient boosting machine learning model including all predictors and a logistic regression model including only baseline posttraumatic stress symptom severity. The present findings provide directions for future work on PTSD prediction among interpersonal violence survivors that could enhance early risk detection and potentially inform targeted prevention programs.

Acute stress reactivity and intrusive memory development: a randomized trial using an adjusted trauma film paradigm

Understanding the neurobiological and cognitive processes underlying the development of posttraumatic stress disorder (PTSD) and its specific symptoms may facilitate preventive intervention development. Severe traumatic stress and resulting biological stress system activations can alter contextual memory processes. This may provide a neurobiological explanation for the occurrence of intrusive memories following trauma. Investigating the associations between temporal aspects and individual variation in peri- and post-traumatic hypothalamic pituitary adrenal (HPA) axis and sympathetic nervous system (SNS) stress reactivity and memory processing may increase our understanding of intrusive symptom development. The experimental trauma film paradigm is commonly used for this purpose but lacks robust SNS and HPA axis activation. Here, we performed an RCT to investigate the effect of an adjusted trauma film paradigm containing an added brief psychosocial stressor on HPA and SNS stress reactivity throughout the experiment and intrusive memory frequency in the following week in healthy males (N = 63, mean age = 22.3). Secondary, we investigated effects on film-related declarative memory accuracy and intrusion-related characteristics, and associations between acute HPA and SNS stress reactivity, film-related memory, glucocorticoid receptor functioning and intrusion frequency and characteristics. Participants were randomized to the socially-evaluated cold pressor test (seCPT n = 29) or control condition (warm water n = 34) immediately prior to a trauma film. Linear Mixed Models revealed increased acute SNS and cortisol reactivity, lower recognition memory accuracy and more intrusions that were more vivid and distressing during the following week in the seCPT compared to control condition. Linear regression models revealed initial associations between cortisol and alpha amylase reactivity during the experimental assessment and subsequent intrusions, but these effects did not survive multiple comparison corrections. Thus, with this adjustment, we increased the translational value of the trauma film paradigm as it appears to elicit a stronger stress response that is likely more comparable to real-life trauma. The adapted paradigm may be useful to investigate individual variation in biological and cognitive processes underlying early post-trauma PTSD symptoms and could advance potential preventive interventions.

Posttraumatic Stress Responses and Psychological Well-being in Norwegian Medical Helicopter Personnel

OBJECTIVE

Emergency medical personnel are exposed to multiple stressors, including those of psychological etiologies. The aim of this study was to report the prevalence of anxiety, depression, and posttraumatic stress symptoms in Norwegian medical helicopter personnel and to determine to what degree they report personal growth or deprecation due to exposure to work-related events.

METHODS

This was a web-based, cross-sectional survey performed among rescue paramedics and physicians staffing helicopter emergency medical services and search and rescue helicopters between May 5, 2021, and July 5, 2021. Questions included demographic data, the traumatic events exposure index, the Generalized Anxiety Disorder 7 scale, the Patient Health Questionnaire 9 (Depression), the posttraumatic change scale, and the posttraumatic symptom scale.

RESULTS

Of the 245 eligible participants, 10 declined to take part and 74 failed to answer, producing a response rate of 66% (72 rescue paramedics and 89 physicians). Of the study population, 3.9 % reported manifest posttraumatic stress disorder symptoms, and 1.9% described moderate to severe depression and anxiety. The majority (76%) described posttraumatic emotional growth because of their work experience.

CONCLUSION

Despite exposure to several traumatic stressors, participants reported a lower prevalence of posttraumatic stress symptoms, depression, and anxiety compared with a Norwegian adult population.

Prevalence of post-traumatic stress disorder symptoms among patients with mental disorder during the COVID-19 pandemic

BACKGROUND

The outbreak of the COVID-19 pandemic has caused extensive public health concerns, posing significant challenges to healthcare services. One particular area of concern is the mental health of patients with mental disorder, who are often a neglected group. The aim of this study was to investigate the prevalence of, and associated factors for symptoms of post-traumatic stress disorder (PTSD) among patients with mental disorder in China during the COVID-19 pandemic.

METHODS

Self-reported questionnaires were distributed to patients in four psychiatric hospitals in Beijing, China, between April 28th and May 30th, 2020. Information regarding sociodemographic characteristics, COVID-19 related factors, support, psychosomatic factors, and PTSD symptoms were collected using a series of scales, such as the Impact of Event Scale-Revised, the 7-item Generalized Anxiety Disorder Scale, the 9-item Patient Health Questionnaire depression scale, and so on. Multivariate regression was used to identify factors related to PTSD symptoms.

RESULTS

A total of 1,055 patients with mental disorder were included in the final sample. The prevalence of PTSD symptoms was 41.3%. Hierarchical linear regression demonstrated that fear of the pandemic and anxiety were shared associated factors for both symptoms of PTSD and their subscales. Additionally, age was an associated factor for the total PTSD (β = 0.12, p < 0.01), intrusion (β = 0.18, p < 0.001), and avoidance (β = 0.1, p < 0.05) symptoms; depression was an associated factor for the total PTSD (β = 0.13, p < 0.001), intrusion (β = 0.11, p < 0.01), and hyperarousal (β = 0.19, p < 0.001) symptoms.

CONCLUSIONS

The prevalence of PTSD symptoms was high among patients with mental disorder during the COVID-19 pandemic in China. This study found that age, fear of the pandemic, anxiety and depression are significant associated factors of PTSD symptoms in patients with mental disorder during the pandemic. We call for higher awareness and introduction of PTSD interventions to relieve the psychological stress in these patients.

A role for deficits in GABAergic neurosteroids and their metabolites with NMDA receptor antagonist activity in the pathophysiology of posttraumatic stress disorder

Trauma-focused psychotherapies show general efficacy in post-traumatic stress disorder (PTSD), although outcomes vary substantially among individuals with PTSD and many patients do not achieve clinically meaningful symptom improvement. Several factors may contribute to poor treatment response, including genetic or environmental (e.g., stress) effects on neurobiological factors involved in learning and memory processes critical to PTSD recovery. In this review, we discuss the relationship between deficient GABAergic neurosteroid metabolites of progesterone, allopregnanolone (Allo) and pregnanolone (PA), and PTSD symptoms in men and women or PTSD-like behavioral abnormalities observed in male rodent models of PTSD. We also review the role and molecular underpinnings of learning and memory processes relevant to PTSD recovery, including extinction, extinction retention, reconsolidation of reactivated aversive memories and episodic non-aversive memory. We then discuss preclinical and clinical research that supports a role in these learning and memory processes for GABAergic neurosteroids and sulfated metabolites of Allo and PA that allosterically antagonize NMDA receptor function. Studies supporting the possible therapeutic impact of appropriately timed, acutely administered Allo or Allo analogs to facilitate extinction retention and/or block reconsolidation of aversive memories are also reviewed. Finally, we discuss important future directions for research in this area. Examining the varied and composite effects in PTSD of these metabolites of progesterone, as well as neuroactive derivatives of other parent steroids produced in the brain and the periphery, will likely enable a broadening of targets for treatment development. Defining contributions of these neuroactive steroids to common PTSD-comorbid psychiatric and medical conditions, as well as subpopulation-specific underlying dysfunctional physiological processes such as hypothalamic-pituitary-adrenal axis and immune system dysregulation, may also enable development of more effective multisystem precision medicines to prevent and treat the broader, polymorbid sequelae of extreme and chronic stress.

"Did You Think You Would Die?": Fear of Death and Its Relationship to the Development of Posttraumatic Stress Disorder After Traumatic Injury

INTRODUCTION

Patient-specific factors may influence posttraumatic stress disorder (PTSD) development and warrant further examination. This study investigates potential association between patient-reported fear of death at the time of injury and development of PTSD.

METHODS

Over 35 months, 250 patients were screened for PTSD at their first posthospitalization clinic visit and were asked "Did you think you were going to die from this injury?" (yes or no). PTSD screening was conducted using the PTSD checklist for DSM-5 questionnaire. A score ≥33 was considered positive for PTSD, and patients were offered ancillary psychiatric services. Retrospectively, medical records were reviewed for baseline demographics and injury information.

RESULTS

Forty-three patients (17%) indicated a fear of death. The mean age was 46 years, with patients who feared death being younger (36 versus 48, P < 0.001), and 62% were male. The most common mechanisms of injury were motor vehicle or motorcycle collisions (30%) and ground-level falls (21%). Gunshot wounds were more common among patients who feared death from trauma (44% versus 7%, P < 0.001). PTSD questionnaires were completed a median of 26 days after injury, with an average score of 12.6. PTSD scores were higher for patients with fear of death (32.7 versus 8.5), and these patients required more acute interventions (47% versus 7%), both P < 0.001. After multivariable logistic regression, patients who thought that they would die from their trauma had >13 times higher odds of developing PTSD (odds ratios: 13.42, P < 0.0001). Apart from positive psychiatric history (OR: 5.46, P = 0.001), no factors (ie, age, sex, mechanism, or any injury or treatment characteristic) were predictive of positive PTSD scores on regression.

DICUSSION

Patients who reported fear of death at the time of injury were 13 times more likely to develop PTSD. Simply asking patients whether they thought that they would die at the time of injury may prospectively identify PTSD risk.

LEVEL OF EVIDENCE

Prognostic Level II.

Mental Health of COVID-19 Survivors at 6 and 12 Months Postdiagnosis: A Cohort Study

OBJECTIVE

As COVID-19 persists around the world, it is necessary to explore the long-term mental health effects in COVID-19 survivors. In this study, we investigated the mental health outcomes of survivors of COVID-19 at 6 and 12 months postdiagnosis.

METHODS

Posttraumatic stress disorder (PTSD checklist for the DSM-5, PCL-5), depression (PHQ-9), anxiety (Generalized Anxiety Disorder Scale, GAD-7), resilience (Connor-Davidson Resilience Scale, CD-RISC-10), perceived social support (PSSS), personality traits (Chinese Big Five Personality Inventory-15, CBF-PI-15), and sociodemographic information were examined among 511 survivors of COVID-19 (48.1%, females; M _age = 56.23 years at first assessment) at 6 and 12 months postdiagnosis. The data were analyzed with Wilcoxon signed rank tests and multivariable logistic regression models.

RESULTS

The prevalence of anxiety, depression, and posttraumatic stress disorder (PTSD) at 6 and 12 months after diagnosis was 13.31% and 6.26%; 20.35% and 11.94%; and 13.11% and 6.07%, respectively. The risk factors for all symptoms were as follows: higher neuroticism; lower openness, extraversion, agreeableness, and resilience; greater life disruptions due to COVID-19; poorer living standards; and increased symptoms of PTSD or depression at 6 months postdiagnosis.

CONCLUSION

The mental health of COVID-19 survivors improved between 6 and 12 months postdiagnosis. Mental health workers should pay long-term attention to this group, especially to survivors with risk factors.

Sex-differential PTSD symptom trajectories across one year following suspected serious injury

BACKGROUND

Recent years have shown an increased application of prospective trajectory-oriented approaches to posttraumatic stress disorder (PTSD). Although women are generally considered at increased PTSD risk, sex and gender differences in PTSD symptom trajectories have not yet been extensively studied.

OBJECTIVE

To perform an in-depth investigation of differences in PTSD symptom trajectories across one-year post-trauma between men and women, by interpreting the general trends of trajectories observed in sex-disaggregated samples, and comparing within-trajectory symptom course and prevalence rates.

METHOD

We included N = 554 participants (62.5% men, 37.5% women) from a multi-centre prospective cohort of emergency department patients with suspected severe injury. PTSD symptom severity was assessed at 1, 3, 6, and 12 months post-trauma, using the Clinician-Administered PTSD Scale for DSM-IV. Latent growth mixture modelling on longitudinal PTSD symptoms was performed within the sex-disaggregated whole samples. Bayesian modelling with informative priors was applied for reliable model estimation, considering the imbalanced prevalence of the expected latent trajectories.

RESULTS

In terms of general trends, the same trajectories were observed for men and women, i.e. resilient, recovery, chronic symptoms and delayed onset. Within-trajectory symptom courses were largely comparable, but resilient women had higher symptoms than resilient men. Sex differences in prevalence rates were observed for the recovery (higher in women) and delayed onset (higher in men) trajectories. Model fit for the sex-disaggregated samples was better than for the whole sample, indicating preferred application of sex-disaggregation. Analyses within the whole sample led to biased estimates of overall and sex-specific trajectory prevalence rates.

CONCLUSIONS

Sex-disaggregated trajectory analyses revealed limited sex differences in PTSD symptom trajectories within one-year post-trauma in terms of general trends, courses and prevalence rates. The observed biased trajectory prevalence rates in the whole sample emphasize the necessity to apply appropriate statistical techniques when conducting sex-sensitive research.

Psychosocial support for providers working high-risk exposure settings during a pandemic: A critical discussion

Psychological first aid is a form of support designed to lessen disaster-related distress. In a pandemic, providers may need such support but with the high risk of exposure, such a program is offered only virtually. The research is scant for traditional post-disaster support and non-existent for virtual; therefore, by using related research this discussion considers the likelihood of providers accessing and benefiting from this program. The virtual platform is heralded as the responsible way to provide support in a pandemic but this standard may be ineffective and is inherently inequitable. As a global event, pandemics require containment strategies applicable on an international level; therefore, psychosocial support should also be developed with an international audience in mind. Online psychosocial support falls short of being such a strategy as it incorrectly assumes global internet access. Many low-income areas such as Sub-Saharan Africa will need support strategies which compliment local frontline staff and fit with community-driven initiatives, whereas wealthier countries may use a combination of onsite and online support. Provider psychosocial support needs in a pandemic, if articulated, are globally similar but how this support is offered requires contextually sensitive considerations not yet found in the literature.

Hiding from danger, not from fear: Lockdown as a risk factor of probable PTSD among civilians after Strasbourg Christmas market terror attack

On December 11, 2018, five people were killed and 11 injured during a terrorist attack on Strasbourg's Christmas market. As the attacker was on the run during the night, part of the population was locked down for several hours. Our study aimed at assessing factors associated with the development of PTSD and health services use among the victims. Four hundred and twelve victims were followed up from 6 to 11 months after the attacks through phone calls by psychologists. The presence of probable PTSD was assessed with the Trauma Screening Questionnaire. In addition, we evaluated the type and level of exposure, and health services use after the attacks. Two hundred and twelve participants completed the phone interview. The prevalence of probable PTSD was 26.4%. Being locked down during the attack and the level of exposure were associated with probable PTSD (OR = 2.32 [1.17-4.59], p = 0.016 and OR = 1.49 [1.10-2.03], p = 0.010 respectively). Lockdown was especially associated with symptoms suggesting adrenergic hyperactivation (startle at surprise, dreams about the event). General and mental health services use was frequent among our sample (83% consulted either their GP or a mental health professional), but people living alone tend to use these health services more infrequently than these living with others. Though necessary, measures taken to protect victims, such as lockdown, may foster PTSD. Victims of terror attacks having been subjected to lockdown may have experienced powerlessness, fostering prolonged stress and fear. These victims may benefit from mental health support over the following months.