It is well known that natural disasters such as earthquakes negatively affect physical and mental health by exposing people to excessive stress. The aim of this study was to investigate determinants of psychosocial health status among the pregnant and postpartum women who experienced earthquake in Türkiye.

Pregnant and postpartum women (n = 125) living in tent cities in the Kahramanmaraş region formed the study sample. Data were collected between February 20 and 26, 2023, through face-to-face interviews. The instruments used for data collection were the Introductory Form, the Depression Anxiety Stress Scale, the Traumatic Childbirth Perception Scale, and the Post-Traumatic Stress Disorder–Short Scale.

A moderate positive relationship was found between stress and posttraumatic stress and traumatic childbirth perception in pregnant and postpartum women, and a high positive relationship was found between anxiety and depression. A high level of relationship was found between anxiety and stress and depression.

It is seen that the psychosocial health of pregnant and postpartum women, who belong to the risk group in the earthquake zone, is at high risk. Psychological support is urgently needed to preserve and improve their psychosocial health.

Adolescent substance use, externalizing and attention problems, and early life stress (ELS) commonly co-occur. These psychopathologies show overlapping neural dysfunction in the form of reduced recruitment of reward processing neuro-circuitries. However, it is unclear to what extent these psychopathologies show common v. different neural dysfunctions as a function of symptom profiles, as no studies have directly compared neural dysfunctions associated with each of these psychopathologies to each other.

In study 1, a latent profile analysis (LPA) was conducted in a sample of 266 adolescents (aged 13–18, 41.7% female, 58.3% male) from a residential youth care facility and the surrounding community to investigate substance use, externalizing and attention problems, and ELS psychopathologies and their co-presentation. In study 2, we examined a subsample of 174 participants who completed the Passive Avoidance learning task during functional magnetic resonance imaging to examine differential and/or common reward processing neuro-circuitry dysfunctions associated with symptom profiles based on these co-presentations.

In study 1, LPA identified profiles of substance use plus rule-breaking behaviors, attention-deficit hyperactivity disorder, and ELS. In study 2, the substance use/rule-breaking profile was associated with reduced recruitment of reward processing and attentional neuro-circuitries during the Passive Avoidance task (p < 0.05, corrected for multiple comparisons).

Findings indicate that there is reduced responsivity of striato-cortical regions when receiving outcomes on an instrumental learning task within a profile of adolescents with substance use and rule-breaking behaviors. Mitigating reward processing dysfunction specifically may represent a potential intervention target for substance-use psychopathologies accompanied by rule-breaking behaviors.

Identification of genetic risk factors may inform the prevention and treatment of posttraumatic stress disorder (PTSD). This study evaluates the associations of polygenic risk scores (PRS) with patterns of posttraumatic stress symptoms following combat deployment.

US Army soldiers of European ancestry (n = 4900) provided genomic data and ratings of posttraumatic stress symptoms before and after deployment to Afghanistan in 2012. Latent growth mixture modeling was used to model posttraumatic stress symptom trajectories among participants who provided post-deployment data (n = 4353). Multinomial logistic regression models tested independent associations between trajectory membership and PRS for PTSD, major depressive disorder (MDD), schizophrenia, neuroticism, alcohol use disorder, and suicide attempt, controlling for age, sex, ancestry, and exposure to potentially traumatic events, and weighted to account for uncertainty in trajectory classification and missing data.

Participants were classified into low-severity (77.2%), increasing-severity (10.5%), decreasing-severity (8.0%), and high-severity (4.3%) posttraumatic stress symptom trajectories. Standardized PTSD-PRS and MDD-PRS were associated with greater odds of membership in the high-severity v. low-severity trajectory [adjusted odds ratios and 95% confidence intervals, 1.23 (1.06–1.43) and 1.18 (1.02–1.37), respectively] and the increasing-severity v. low-severity trajectory [1.12 (1.01–1.25) and 1.16 (1.04–1.28), respectively]. Additionally, MDD-PRS was associated with greater odds of membership in the decreasing-severity v. low-severity trajectory [1.16 (1.03–1.31)]. No other associations were statistically significant.

Higher polygenic risk for PTSD or MDD is associated with more severe posttraumatic stress symptom trajectories following combat deployment. PRS may help stratify at-risk individuals, enabling more precise targeting of treatment and prevention programs.

Post-intensive care syndrome, which includes symptoms of anxiety, depression, and posttraumatic stress, afflicts one-third of critical illness survivors. Symptoms persist and significantly degrade quality of life. No intervention has earned clear evidence of reducing these adverse psychological sequelae. Building on earlier pilot data, psychological support based on positive suggestions (PSBPS), is being investigated in an ongoing, randomized, controlled prospective trial across multiple intensive care unit (ICU) settings in a large, tertiary medical center.

Recognizing that even sedated patients perceive and internalize communication, we share lessons learned thus far in the art of engaging with sedated, often unresponsive patients.

Our presentation describes this NIH-funded PSBPS study, including the preparatory training and subsequent implementation of a structured script delivered daily to ICU patients, regardless of cognitive status or ability to respond. To interfere with the initial process of fear conditioning/negative memory formation, we introduce mitigating information about potentially traumatic events during the temporal window when initial memory consolidation occurs, reframing the alien, often frightening ICU environment while providing positive suggestions of safety and healing.

Psychiatrists characteristically engage alert, communicative patients. Unfortunately, when meaningful cognitive exchange is impossible, further effort is often limited. By contrast, choosing to engage ventilated, sedated patients with active re-interpretation is a novel enterprise. We share technique and lessons learned from the first two years.

Consultation psychiatrists are uniquely situated to explore with our critical care colleagues how best to mitigate the corrosive psychological consequences of intensive care and improve the future of ICU survivors.

No significant relationships.

Persistent psychological distress associated with the coronavirus disease 2019 (COVID-19) pandemic has been well documented. This study aimed to identify pre-COVID brain functional connectome that predicts pandemic-related distress symptoms among young adults.

Baseline neuroimaging studies and assessment of general distress using the Depression, Anxiety and Stress Scale were performed with 100 healthy individuals prior to wide recognition of the health risks associated with the emergence of COVID-19. They were recontacted for the Impact of Event Scale-Revised and the Posttraumatic Stress Disorder Checklist in the period of community-level outbreaks, and for follow-up distress evaluation again 1 year later. We employed the network-based statistic approach to identify connectome that predicted the increase of distress based on 136-region-parcellation with assigned network membership. Predictive performance of connectome features and causal relations were examined by cross-validation and mediation analyses.

The connectome features that predicted emergence of distress after COVID contained 70 neural connections. Most within-network connections were located in the default mode network (DMN), and affective network-DMN and dorsal attention network-DMN links largely constituted between-network pairs. The hippocampus emerged as the most critical hub region. Predictive models of the connectome remained robust in cross-validation. Mediation analyses demonstrated that COVID-related posttraumatic stress partially explained the correlation of connectome to the development of general distress.

Brain functional connectome may fingerprint individuals with vulnerability to psychological distress associated with the COVID pandemic. Individuals with brain neuromarkers may benefit from the corresponding interventions to reduce the risk or severity of distress related to fear of COVID-related challenges.

Refugees report a diverse array of psychological responses following persecution and displacement. Little is known, however, regarding the mechanisms that underlie differential psychological reactions in refugees. This study investigated the longitudinal impact of negative moral appraisals about one's own actions [i.e. moral injury-self (MI-self) appraisals] and others' actions [i.e. moral injury-other (MI-others) appraisals] on a variety of psychological symptoms over a period of 6 months.

Participants were 1085 Arabic, Farsi, Tamil, or English-speaking refugees who completed a survey at baseline and 6 months later either on-line or via pen-and-paper. The survey indexed demographic factors, exposure to potentially traumatic events (PTEs), exposure to ongoing stressors, MI-other appraisals, MI-self appraisals, re-experiencing and arousal symptoms, and feelings of sadness, anger and shame.

Findings indicated that, after controlling for demographics, PTE exposure and ongoing stressors, MI-other appraisals predicted increased re-experiencing and hyperarousal symptoms, and feelings of sadness and shame. MI-self appraisals predicted decreased feelings of shame, and decreased re-experiencing symptoms. In contrast, psychological symptoms at baseline did not as strongly influence MI appraisals 6 months later.

These findings highlight the important role that cognitive appraisals of adverse events play in the longitudinal course of psychological symptoms. These results thus have important implications for the development of tailored psychological interventions to alleviate the mental health burden held by refugees.

The objective of this study was to examine associations between media contact and posttraumatic stress in a sample with a large number of individuals who were directly exposed to the September 11, 2001 (9/11) attacks and to compare outcomes in exposed and unexposed participants.

Structured interviews and questionnaires were administered to a volunteer sample of 254 employees of New York City businesses 35 months after the attacks to document disaster trauma exposures, posttraumatic stress outcomes, and media contact and reactions.

Media variables were not associated with psychopathological outcomes in exposed participants, but media contact in the first week after the attacks and feeling moderately/extremely bothered by graphic 9/11 media images were associated with re-experiencing symptoms in both the exposed and unexposed participants. Feeling moderately/extremely bothered by graphic media images was associated with hyperarousal symptoms in exposed participants.

The findings suggest that media contact did not lead to psychopathology in exposed individuals, although it was associated with normative distress in both exposure groups. Because of the potential for adverse effects associated with media contact, clinicians and public health professionals are encouraged to discuss concerns about mass trauma media contact with their patients and the public at large.

Visual and auditory signs of patient functioning have long been used for clinical diagnosis, treatment selection, and prognosis. Direct measurement and quantification of these signals can aim to improve the consistency, sensitivity, and scalability of clinical assessment. Currently, we investigate if machine learning-based computer vision (CV), semantic, and acoustic analysis can capture clinical features from free speech responses to a brief interview 1 month post-trauma that accurately classify major depressive disorder (MDD) and posttraumatic stress disorder (PTSD).

N = 81 patients admitted to an emergency department (ED) of a Level-1 Trauma Unit following a life-threatening traumatic event participated in an open-ended qualitative interview with a para-professional about their experience 1 month following admission. A deep neural network was utilized to extract facial features of emotion and their intensity, movement parameters, speech prosody, and natural language content. These features were utilized as inputs to classify PTSD and MDD cross-sectionally.

Both video- and audio-based markers contributed to good discriminatory classification accuracy. The algorithm discriminates PTSD status at 1 month after ED admission with an AUC of 0.90 (weighted average precision = 0.83, recall = 0.84, and f1-score = 0.83) as well as depression status at 1 month after ED admission with an AUC of 0.86 (weighted average precision = 0.83, recall = 0.82, and f1-score = 0.82).

Direct clinical observation during post-trauma free speech using deep learning identifies digital markers that can be utilized to classify MDD and PTSD status.

As self-injurious thoughts and behaviors (SITB) remain a pressing public health concern, research continues to focus on risk factors, such as posttraumatic stress disorder (PTSD). Network analysis provides a novel approach to examining the PTSD-SITB relationship. This study utilized the network approach to elucidate how individual PTSD symptoms may drive and maintain SITB.

We estimated cross-sectional networks in two samples of trauma-exposed adults (Sample 1: N = 349 adults; Sample 2: N = 1307 Veterans) to identify PTSD symptoms that may act as bridges to SITB. Additionally, we conducted a cross-lagged panel network in Sample 2 to further clarify the temporal relationship between PTSD symptoms and SITB during a 2-year follow-up. Finally, in both samples, we conducted logistic regressions to examine the utility of PTSD symptoms in prospectively predicting SITB, over a 15-day period (Sample 1) and over a 2-year period (Sample 2), allowing us to examine both short- and long-term prediction.

Two PTSD symptoms (i.e. negative beliefs and risky behaviors) emerged as highly influential on SITB in both cross-sectional networks. In the cross-lagged panel network, distorted blame emerged as highly influential on SITB over time. Finally, risky behaviors, unwanted memories, and psychological distress served as the strongest predictors of SITB across the two samples.

Overall, our results suggest that treatments targeting negative beliefs and risky behaviors may prevent SITB in community and Veteran populations, whereas treatments targeting distorted blame and unwanted memories may help reduce SITB for individuals with a history of combat trauma.

Social media provides an opportunity to engage in social contact and to give and receive help by means of online social networks. Social support following trauma exposure, even in a virtual community, may reduce feelings of helplessness and isolation, and, therefore, reduce posttraumatic stress symptoms (PTS), and increase posttraumatic growth (PTG). The current study aimed to assess whether giving and/or receiving offers of help by means of social media following large community fires predicted PTS and/or PTG.

A convenience sample of 212 adults living in communities that were affected by large-scale community fires in Israel (November 2016) completed questionnaires on giving and receiving offers of help by means of social media within 1 mo of the fire (W1), and the PTSD checklist for DSM-5 (PCL-5) and PTG questionnaire (PTGI-SF), 4 mo after the fire (W2).

Regression analyses showed that, after controlling for age, gender, and distance from fire, offering help by means of social media predicted higher PTG (β = 0.22; t = 3.18; P < 0.01), as did receiving offers of help by means of social media (β = 0.18; t = 2.64; P < 0.01). There were no significant associations between giving and/or receiving offers of help and PTS.

Connecting people to social media networks may help in promoting posttraumatic growth, although might not impact on posttraumatic symptoms. This is one of the first studies to highlight empirically the advantages of social media in the aftermath of trauma exposure.

Research exploring the longitudinal course of posttraumatic stress disorder (PTSD) symptoms has documented four modal trajectories (low, remitting, high, and delayed), with proportions varying across studies. Heterogeneity could be due to differences in trauma types and patient demographic characteristics.

This analysis pooled data from six longitudinal studies of adult survivors of civilian-related injuries admitted to general hospital emergency departments (EDs) in six countries (pooled N = 3083). Each study included at least three assessments of the clinician-administered PTSD scale in the first post-trauma year. Latent class growth analysis determined the proportion of participants exhibiting various PTSD symptom trajectories within and across the datasets. Multinomial logistic regression analyses examined demographic characteristics, type of event leading to the injury, and trauma history as predictors of trajectories differentiated by their initial severity and course.

Five trajectories were found across the datasets: Low (64.5%), Remitting (16.9%), Moderate (6.7%), High (6.5%), and Delayed (5.5%). Female gender, non-white race, prior interpersonal trauma, and assaultive injuries were associated with increased risk for initial PTSD reactions. Female gender and assaultive injuries were associated with risk for membership in the Delayed (v. Low) trajectory, and lower education, prior interpersonal trauma, and assaultive injuries with risk for membership in the High (v. Remitting) trajectory.

The results suggest that over 30% of civilian-related injury survivors admitted to EDs experience moderate-to-high levels of PTSD symptoms within the first post-trauma year, with those reporting assaultive violence at increased risk of both immediate and longer-term symptoms.

Theorists and researchers have linked resilience with a host of positive psychological and physical health outcomes. This paper examines perceptions of resilience and physical health symptoms in a sample of individuals exposed to multiple community disasters following involvement in integrated mental health services.

A multiwave naturalistic design was used to follow 762 adult clinic patients (72% female; 28% minority status), ages 18-92 years (mean age=40 years), who were evaluated for resilience and physical health symptoms prior to receiving services and at 1, 3, and 6 months’ follow-up.

Data indicated increases in perceptions of resilience and decreased physical health symptoms reported over time. Results also indicated that resilience predicted physical health symptoms, such that resilience and physical health symptoms were negatively associated (ie, improved resilience was associated with decreases in physical health symptoms). These effects were primarily observed for those individuals with previous exposure to natural disasters.

Findings provide correlational evidence for behavioral health treatment provided as part of a stepped-care, collaborative model in reducing physical health symptoms and increasing resilience post-disaster. Controlled trials are warranted. (Disaster Med Public Health Preparedness. 2019;13:223–229)

The study aimed to gather data on posttraumatic stress and depression in adolescents following the 2015 Nepal earthquake and explore the adolescents’ coping strategies.

In a questionnaire-based, cross-sectional study about 1 year after the earthquake, adolescents in two districts with different degrees of impact were evaluated for disaster experience, coping strategies, and symptoms of posttraumatic stress and depression measured with the Child Posttraumatic Stress Scale and the Depression Self Rating Scale.

In the studied sample (N=409), the estimated prevalence of posttraumatic stress disorder (PTSD) (43.3%) and depression (38.1%) was considerable. Prevalence of PTSD was significantly higher in the more affected area (49.0% v 37.9%); however, the prevalence figures were comparable in adolescents who reported a stress. The prevalence of depression was comparable. Female gender, joint family, financial problems, displacement, injury or being trapped in the earthquake, damage to livelihood, and fear of death were significantly associated with a probable PTSD diagnosis. Various coping strategies were used: talking to others, praying, helping others, hoping for the best, and some activities were common. Drug abuse was rare. Most of the coping strategies were comparable among the clinical groups.

A considerable proportion of adolescents had posttraumatic stress and depression 1 year after the earthquake. There is a need for clinical interventions and follow-up studies regarding the outcome. Disaster Med Public Health Preparedness. 2019;13:236–242)

Conceptualizing posttraumatic stress disorder (PTSD) symptoms as a dynamic system of causal elements could provide valuable insights into the way that PTSD develops and is maintained in traumatized individuals. We present the first study to apply a multilevel network model to produce an exploratory empirical conceptualization of dynamic networks of PTSD symptoms, using data collected during a period of conflict.

Intensive longitudinal assessment data were collected during the Israel–Gaza War in July–August 2014. The final sample (n = 96) comprised a general population sample of Israeli adult civilians exposed to rocket fire. Participants completed twice-daily reports of PTSD symptoms via smartphone for 30 days. We used a multilevel vector auto-regression model to produce contemporaneous and temporal networks, and a partial correlation network model to obtain a between-subjects network.

Multilevel network analysis found strong positive contemporaneous associations between hypervigilance and startle response, avoidance of thoughts and avoidance of reminders, and between flashbacks and emotional reactivity. The temporal network indicated the central role of startle response as a predictor of future PTSD symptomatology, together with restricted affect, blame, negative emotions, and avoidance of thoughts. There were some notable differences between the temporal and contemporaneous networks, including the presence of a number of negative associations, particularly from blame. The between-person network indicated flashbacks and emotional reactivity to be the most central symptoms.

This study suggests various symptoms that could potentially be driving the development of PTSD. We discuss clinical implications such as identifying particular symptoms as targets for interventions.