Posttraumatic Stress Disorder Diagnostic Status Research Articles

Psychometric properties of the PTSD checklist for DSM-5 in treatment-seeking Black veterans.

Despite widespread use of the posttraumatic stress disorder (PTSD) Checklist for Diagnostic and Statistical Manual of Mental Disorders-fifth edition (PCL-5) across various trauma-exposed populations, little is known about the psychometric properties of the instrument in certain ethnic minority groups with increased risk of trauma exposure, including Black veterans. To this end, the current study examined the internal consistency of the PCL-5, convergent validity using correlations between the PCL-5 and another measure of PTSD, and discriminant validity using correlations between the PCL-5 and other commonly occurring psychiatric symptoms, including depression as well as alcohol and substance misuse. The sample was composed of 327 Black veterans (84% male, Mage = 51.87, SD = 13.72) presenting to a PTSD specialty clinic at a large Veterans Affairs hospital in the Midwest United States to receive psychological services. In addition to a diagnostic interview, veterans were asked to complete a brief battery of self-report questionnaires to assist with diagnostic clarification and treatment planning. The PCL-5 demonstrated excellent internal consistency. Furthermore, the PCL-5 was significantly and positively correlated with PTSD diagnostic status, suggesting evidence of convergent validity. Finally, the PCL-5 was strongly correlated with symptoms of depression and moderately correlated with alcohol and substance misuse. Findings suggest that the PCL-5 is a psychometrically sound measure to assess PTSD symptoms among Black veterans. Considering the brevity of PCL-5 administration, clinicians should consider utilizing this and other psychometric tests in clinical care to reduce disparities in health equity among Black patients. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

An empirical investigation of definitions of subthreshold posttraumatic stress disorder.

Subthreshold posttraumatic stress disorder (PTSD) has long been recognized as an important construct that identifies a subgroup of individuals who report significant PTSD symptoms and associated disability but do not endorse enough symptoms to meet the criteria for a full PTSD diagnosis. Different investigators have defined subthreshold PTSD in various ways, making it difficult to interpret findings across studies. To address this problem, we systematically compared individuals who met criteria for nine different subthreshold PTSD definitions with individuals diagnosed with either full PTSD or no PTSD (i.e., failed to meet the criteria for a subthreshold definition) with respect to prevalence and associated clinical outcomes of interest. Participants were 1,082 veterans enrolled in the Veterans After DischargeLongitudinalRegistry. PTSD and subthreshold PTSD diagnostic status were determined using the Structured Clinical Interview for DSM-5 (SCID-5) and validated self-report instruments were used to assess clinical outcomes. Across outcomes, subthreshold definitions generally identified a group of participants that was distinguishable from participants in both the PTSD and no PTSD groups, rs = .02-.47. We discuss the benefits and drawbacks of various subthreshold definitions and highlight the need for additional work evaluating these definitions across additional outcomes and samples. In the interim, we propose a working case definition of subthreshold PTSD as meeting any three of the four DSM-5 symptom criteria (i.e., Criteria B, C, D, and E) along with Criterion A and Criteria F-H. The results suggest subthreshold PTSD is a clinically meaningful construct.

Leveraging Large-Scale Genetics of PTSD and Cardiovascular Disease to Demonstrate Robust Shared Risk and Improve Risk Prediction Accuracy.

Individuals with posttraumatic stress disorder (PTSD) are significantly more likely to be diagnosed with cardiovascular disease (CVD) (e.g., myocardial infarction, stroke). The evidence for this link is so compelling that the National Institutes of Health convened a working group to determine gaps in the literature, including the need for large-scale genomic studies to identify shared genetic risk. The aim of the present study was to address some of these gaps by utilizing PTSD and CVD genome-wide association study (GWAS) summary statistics in a large biobank sample to determine the shared genetic risk of PTSD and CVD. A large health care biobank data set was used (N=36,412), combined with GWAS summary statistics from publicly available large-scale PTSD and CVD studies. Disease phenotypes (e.g., PTSD) were collected from electronic health records. De-identified genetic data from the biobank were genotyped using Illumina SNP array. Summary statistics data sets were processed with the following quality-control criteria: 1) SNP heritability h2 >0.05, 2) compute z-statistics (z=beta/SE or z=log(OR)/SE), 3) filter nonvariable SNPs (0<freq<1), and 4) filter SNPs with low number of samples. The multitrait analysis of GWAS (MTAG) approach was used to combine GWAS summary statistics. Significant genetic correlations were found between PTSD and CVD (rG=0.24, SE=0.06), and Mendelian randomization analyses indicated a potential causal link from PTSD to hypertension (β=0.20, SE=0.04), but not the reverse. PTSD summary statistics significantly predicted PTSD diagnostic status (R2=0.27), and this was significantly improved by incorporating summary statistics from CVD and major depressive disorder (R2=1.30). Further, pathway enrichment analyses indicated that genetic variants involved in shared PTSD-CVD risk included those involved in postsynaptic structure, synapse organization, and interleukin-7-mediated signaling pathways. The results from this study suggest that PTSD and CVD may share genetic risk. Further, these results implicate PTSD as a risk factor leading to the development of hypertension and coronary artery disease. Additional research is needed to determine the clinical utility of these findings.

Assessment of early neurocognitive functioning increases the accuracy of predicting chronic PTSD risk.

Post-traumatic stress disorder (PTSD) is a protracted and debilitating consequence of traumatic events. Identifying early predictors of PTSD can inform the disorder's risk stratification and prevention. We used advanced computational models to evaluate the contribution of early neurocognitive performance measures to the accuracy of predicting chronic PTSD from demographics and early clinical features. We consecutively enrolled adult trauma survivors seen in a general hospital emergency department (ED) to a 14-month long prospective panel study. Extreme Gradient Boosting algorithm evaluated the incremental contribution to 14 months PTSD risk of demographic variables, 1-month clinical variables, and concurrent neurocognitive performance. The main outcome variable was PTSD diagnosis, 14 months after ED admission, obtained by trained clinicians using the Clinician-Administered PTSD Scale (CAPS). N = 138 trauma survivors (mean age = 34.25 ± 11.73, range = 18-64; n = 73 [53%] women) were evaluated 1 month after ED admission and followed for 14 months, at which time n = 33 (24%) met PTSD diagnosis. Demographics and clinical variables yielded a discriminatory accuracy of AUC = 0.68 in classifying PTSD diagnostic status. Adding neurocognitive functioning improved the discriminatory accuracy (AUC = 0.88); the largest contribution emanating from poorer cognitive flexibility, processing speed, motor coordination, controlled and sustained attention, emotional bias, and higher response inhibition, and recall memory. Impaired cognitive functioning 1-month after trauma exposure is a significant and independent risk factor for PTSD. Evaluating cognitive performance could improve early screening and prevention.

A prospective examination of health care costs associated with posttraumatic stress disorder diagnostic status and symptom severity among veterans.

Posttraumatic stress disorder (PTSD) is associated with increased health care costs; however, most studies exploring this association use PTSD diagnostic data in administrative records, which can contain inaccurate diagnostic information and be confounded by the quantity of service use. We used a diagnostic interview to determine PTSD diagnostic status and examined associations between PTSD symptom severity and health care costs and utilization, extracted from Veteran Health Administration (VHA) administrative databases. Using a nationwide longitudinal sample of U.S. veterans with and without PTSD (N = 1,377) enrolled in VHA health care, we determined the costs and utilization of mental health and non-mental health outpatient, pharmacy, and inpatient services for 1 year following cohort enrollment. Relative to veterans without PTSD, those with PTSD had higher total health care, B = 0.47; mental health clinic care, B = 0.72; non-mental health clinic care, B = 0.30; and pharmacy costs, B = 0.72, ps < .001. More severe PTSD symptoms were associated with mental health clinic care costs, B = 0.12; non-mental health clinic care costs, B = 0.27; and higher odds of inpatient, B = 0.63, and emergency service use, B = 0.39, p < .001-p = .012. These findings indicate that veterans' PTSD status, determined by a clinician-administered semistructured diagnostic interview, was associated with higher health care costs and increased use of mental health and non-mental health clinic services. The findings also suggest that more severe PTSD is associated with increased costs and utilization, including costly emergency and inpatient utilization.

Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma

Post-traumatic stress disorder (PTSD) is characterized by complex, heterogeneous symptomology, thus detection outside traditional clinical contexts is difficult. Fortunately, advances in mobile technology, passive sensing, and analytics offer promising avenues for research and development. The present study examined the ability to utilize Global Positioning System (GPS) data, derived passively from a smartphone across seven days, to detect PTSD diagnostic status among a cohort (N = 185) of high-risk, previously traumatized women. Using daily time spent away and maximum distance traveled from home as a basis for model feature engineering, the results suggested that diagnostic group status can be predicted out-of-fold with high performance (AUC = 0.816, balanced sensitivity = 0.743, balanced specificity = 0.8, balanced accuracy = 0.771). Results further implicate the potential utility of GPS information as a digital biomarker of the PTSD behavioral repertoire. Future PTSD research will benefit from application of GPS data within larger, more diverse populations.

Molecular genetics of trauma exposure and PTSD

ABSTRACT Background: The notion that genetic factors play a role in response to exposure to traumatic events was made over 75 years ago. Great progress has been made since this early inception in understanding the role of genetic liability on both trauma exposure, as well as posttraumatic stress disorder (PTSD). The field has recently undergone tremendous growth in the area of molecular genetic investigations utilizing agnostic genome wide association study (GWAS) designs of traumatic stress related outcomes, largely due to team science efforts such as the Psychiatric Genomics Consortia (PGC). Objective: The objective of this presentation is to provide an overview of the PGC-PTSD workgroup and samples, and present the most up-to-date analyses of GWAS analyses on trauma exposure and PTSD, using quantitative phenotypes from both the PGC-PTSD broader literature, including the Million Veterans Program (MVP). Methods: The PGC PTSD workgroup sample size in Freeze 2.0 was ~200,000, consisting of ~30,000 PTSD cases and focused on PTSD diagnostic status (Nievergelt et al., 2019). An overview of recently published analyses (e.g., recent GWAS analyses of childhood maltreatment (Dalvie et al., 2020)), as well as recent analyses examining PTSD as a quantitative variable will be presented, including analyses jointly analysing trauma exposure and PTSD symptoms from MTAG, a novel method that allows for joint analysis of summary statistics from GWAS of different traits. Recent findings from MVP (Gelernter et al., 2019) will also be reviewed, ending with a meta-analysis of PTSD as a quantitative trait in the PGC and re-experiencing symptoms from MVP. Results: Childhood maltreatment, defined as a quantitative variable, was found to have a significant molecular heritability, and to be genetically correlated with depression (Dalvie et al., 2020). Further, trauma exposure defined as a quantitative variable, was found to have molecular influence and to be genetically correlated with PTSD. Analyses of PTSD as a quantitative variable yielded significant loci, with some replicating in MVP. MTAG analyses yielded additional hits, and again, some with replication in MVP. Lastly, the meta-analysis of Freeze 2.0 with MVP, resulting in ~339,000 subjects, yielded >20 significant hits, including novel loci. Conclusions: Quantitative analyses of childhood maltreatment, trauma exposure, and PTSD prove to increase statistical power across analyses conducted in the PGC-PTSD as well as MVP. Additionally, the joint analysis using MTAG revealed novel GWAS hits. With more samples and sophisticated analytic techniques the genetic architecture of PTSD will become elucidated, bringing with it critical treatment implications.

Epigenetic Age Acceleration and Risk for Posttraumatic Stress Disorder following Exposure to Substantiated Child Maltreatment

ABSTRACT Objective: Child maltreatment is among the strongest predictors of posttraumatic stress disorder (PTSD). However, less than 40% of children who have been maltreated are ever diagnosed with PTSD, suggesting that exposure to child maltreatment alone is insufficient to explain this risk. This study examined whether epigenetic age acceleration, a stress-sensitive biomarker derived from DNA methylation, explains variation in PTSD diagnostic status subsequent to child maltreatment. Method: Children and adolescents (N = 70; 65.7% female), 8–15 years of age (M = 12.00, SD = 2.37) and exposed to substantiated child maltreatment within the 12 months prior to study entry, were enrolled. Participants provided epithelial cheek cells via buccal swab for genotyping and quantification of epigenetic age acceleration within a case-control design. PTSD diagnostic status was determined using the Child PTSD Symptoms Scale according to the DSM-IV-TR algorithm. Results: Epigenetic age acceleration predicted current PTSD status, revealing an effect size magnitude in the moderate range, OR = 2.35, 95% CI: 1.22– 4.51, after adjusting for sample demographics, polygenic risk for PTSD, and lifetime exposure to other childhood adversities. Supplemental analyses demonstrated that epigenetic age acceleration was related to a greater severity of PTSD arousal symptoms (r =.29, p =.015). There were no differential effects for child maltreatment subtype on epigenetic age acceleration or PTSD status. Conclusions: The biological embedding of child maltreatment may explain variation in PTSD diagnostic status and serve as a novel approach for informing selective prevention or precision-based therapeutics for those at risk for PTSD.

Dog training alleviates PTSD symptomatology by emotional and attentional regulation

ABSTRACT Background: Post-Traumatic Stress Disorder (PTSD) symptoms include re-experiencing, avoidance, hyperarousal, and cognitive deficits, reflecting both emotional and cognitive dysregulation. In recent years, non-pharmacological approaches and specifically animal-assisted therapy have been shown to be beneficial for a variety of disorders such as Attention-Deficit/Hyperactivity Disorder, Autism Spectrum Disorder, and PTSD. However, little is mentioned in the literature about the reciprocal effects of the animal–human interaction. Objective: To evaluate the effects of a one-year dog training programme on PTSD symptomatology in youngsters with PTSD and on dogs’ behaviour. Methods: Fifty-three adolescents, previously exposed to interpersonal trauma, were clinically diagnosed with PTSD and assigned to a dog-training programme group (n = 30) and a control group (n = 23) that engaged in other training programmes (e.g. cooking, hairstyling, etc.). Both groups were evaluated at baseline and following 12-months by The Clinician-Administered PTSD Scale for DSM-5 in Children and Adolescents (CAPS-CA-5) and Beck-Depression Inventory (BDI). Additionally, we physiologically measured both emotional and attention dysregulation. Results: Post-12-months training, a significant alleviation of PTSD symptomatology accompanied by lower depression severity was observed in the dog-training group, compared with a insignificant recovery in the control group. Furthermore, improved emotional and attentional regulation was observed in the dog-training group. Measuring the dogs’ behaviour revealed increased anxiety and decreased selective attention performance, which was inversely correlated with the beneficial effects observed in the dog-training programme group. Conclusions: Our findings emphasize the role of emotional and attentional regulations on the dog–handler interface, as evidence-based support for the beneficial effects of the dog-training programme, as either a non-pharmacological intervention or as complementary to anti-depressants treatment of PTSD. Though pharmacological treatments increase the patients’ well-being by treating certain PTSD symptoms, our suggested dog-training programme seems to influence the PTSD diagnostic status, thus may be implemented in civilians and veterans with PTSD.

Effectiveness of an intensive treatment programme combining prolonged exposure and EMDR therapy for adolescents suffering from severe post-traumatic stress disorder

ABSTRACT Background: Following promising effects of an intensive trauma treatment for adults, the question arises whether adolescents who suffer from severe post-traumatic stress disorder (PTSD) can also profit from a similar treatment programme. Objective: To assess the effectiveness of an intensive trauma-focused treatment programme combining two evidence-based trauma-focused therapies and physical activities for adolescents suffering from severe PTSD. Method: Treatment consisted of daily sessions of prolonged exposure (PE) therapy and eye movement desensitization and reprocessing (EMDR) therapy supplemented with physical activity (13 days on average). All patients (N = 27; 96.3% women, mean age = 16.1 years; SD = 1.3) had been exposed to one or more (interpersonal) traumatic events. Twenty-two of them (81.5%) also fulfilled the diagnostic criteria of a comorbid psychiatric disorder (mean number of comorbid disorders = 2.22). The majority of patients were referred because previous treatment was difficult or complications were expected to occur. Severity of PTSD symptoms and presence of a PTSD diagnostic status were assessed using the Dutch version of the CAPS-CA IV at baseline, post-treatment and at 3-month follow-up. Results: CAPS-CA IV scores decreased significantly from pre- to post-treatment (Cohen’s d = 1.39). Of all patients 81.5% (n = 22) showed a clinically meaningful response, of whom 63% (n = 17) no longer fulfilled the diagnostic criteria of PTSD at post-treatment as established with the CAPS-CA IV. The results were maintained at 3-month follow-up. During treatment, neither adverse events nor dropout occurred. Conclusions: The results suggest that an intensive trauma-focused treatment programme combining prolonged exposure, EMDR therapy, and physical activity can be an effective and safe treatment for adolescents suffering from severe PTSD and multiple comorbid psychiatric disorders.

Women in combat: The effects of combat exposure and gender on the incidence and persistence of posttraumatic stress disorder diagnosis

Recent expansions in the roles of women in combat have prompted increased interest in the psychological toll combat exposure may have on female service members as compared to males. This study examined the interactive effects of gender and combat exposure on transitions in posttraumatic stress disorder (PTSD) diagnostic status (presence or absence of PTSD diagnosis). We used administrative data of 20,000 U.S. Army soldiers whose combat exposure was assessed after return from deployment between January 1, 2008 and June 30, 2014; soldiers’ PTSD diagnostic status was determined using International Classification of Diseases-9 diagnoses at four time points separated by 12 months. We used a mixed-effects logit transition model to examine the effects of combat and gender on incidence, persistence, and prevalence of PTSD diagnosis. Incidence and prevalence of PTSD diagnosis were higher among women, but persistence of PTSD diagnosis was higher in men. Higher rates of new PTSD diagnosis among women were not dependent on combat exposure, suggesting that other types of trauma may be responsible for increased rates among women. Gender differences in prevalence and persistence of PTSD diagnosis were greater among combat-exposed soldiers than among those not exposed to combat. Men maintained a PTSD diagnosis over longer periods of time than women suggesting greater PTSD persistence, and this pattern was particularly pronounced among soldiers exposed to combat. These results have implications for the recent policy changes and gender-based prevention strategies, and suggest that women in combat roles may be no more vulnerable to PTSD than are their male counterparts. Though the gender differences were small, they are indicative of healthcare utilization patterns that may be important for prevention and that warrant further exploration.

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.

Polygenic prediction of PTSD trajectories in 9/11 responders.

Genetics hold promise of predicting long-term post-traumatic stress disorder (PTSD) outcomes following trauma. The aim of the current study was to test whether six hypothesized polygenic risk scores (PRSs) developed to capture genetic vulnerability to psychiatric conditions prospectively predict PTSD onset, severity, and 18-year course after trauma exposure. Participants were 1490 responders to the World Trade Center (WTC) disaster (mean age at 9/11 = 38.81 years, s.d. = 8.20; 93.5% male; 23.8% lifetime WTC-related PTSD diagnosis). Prospective longitudinal data on WTC-related PTSD symptoms were obtained from electronic medical records and modelled as PTSD trajectories using growth mixture model analysis. Independent regression models tested whether six hypothesized psychiatric PRSs (PTSD-PRS, Re-experiencing-PRS, Generalized Anxiety-PRS, Schizophrenia-PRS, Depression-PRS, and Neuroticism-PRS) are predictive of WTC-PTSD outcomes: lifetime diagnoses, average symptom severity, and 18-year symptom trajectory. All analyses were adjusted for population stratification, 9/11 exposure severity, and multiple testing. Depression-PRS predicted PTSD diagnostic status (OR 1.37, CI 1.17-1.61, adjusted p = 0.001). All PRSs, except PTSD-PRS, significantly predicted average PTSD symptoms (β = 0.06-0.10, adjusted p < 0.05). Re-experiencing-PRS, Generalized Anxiety-PRS and Schizophrenia-PRS predicted the high severity PTSD trajectory class (ORs 1.21-1.28, adjusted p < 0.05). Finally, PRSs prediction was independent of 9/11 exposure severity and jointly accounted for 3.7 times more variance in PTSD symptoms than the exposure severity. Psychiatric PRSs prospectively predicted WTC-related PTSD lifetime diagnosis, average symptom severity, and 18-year trajectory in responders to 9/11 disaster. Jointly, PRSs were more predictive of subsequent PTSD than the exposure severity. In the future, PRSs may help identify at-risk responders who might benefit from targeted prevention approaches.

Mental health and social support among public safety personnel.

Social support may be a protective factor for the mental health of public safety personnel (PSP), who are frequently exposed to potentially psychologically traumatic events and report substantial post-traumatic stress disorder (PTSD) and major depressive disorder (MDD) symptoms. Research examining perceived social support and its association with PTSD and MDD in different PSP categories (e.g. firefighters, paramedics) is limited. To examine differences in perceived social support across PSP and determine whether perceived social support is associated with differences in rates of MDD and PTSD. We asked Canadian PSP, including correctional workers and officers, public safety communications officials, firefighters, paramedics, municipal and provincial police officers, and Royal Canadian Mounted Police (RCMP) officers, to complete an online anonymous survey that assessed socio-demographic information (e.g. occupation, sex, marital status, service years), social supports and symptoms of mental disorders, including PTSD and MDD. Analyses included ANOVA and logistic regression models. Perceived social support differed by PSP occupation. RCMP officers reported lower social support than all other PSP except paramedics. For most PSP categories, PSP who reported greater social support were less likely to screen positive for PTSD (adjusted odds ratios [AORs]: 0.90-0.93). Across all PSP categories, greater perceived social support was associated with a decreased likelihood of screening positive for MDD (AORs: 0.85-0.91). Perceived social support differs across some PSP categories and predicts PTSD and MDD diagnostic status. Studies involving diagnostic clinical interviews, longitudinal designs and social support interventions are needed to replicate and extend our results.

Sleep disturbance underlies the co-occurrence of trauma and pediatric chronic pain: a longitudinal examination.

Epidemiological and cross-sectional studies have shown that post-traumatic stress disorder symptoms (PTSS) are common and impairing in youth with chronic pain. Yet, the co-occurrence of PTSS and pediatric chronic pain has not been examined longitudinally, which has limited understanding of theoretically proposed mechanisms (eg, sleep disturbance) underlying the PTSS-pain relationship over time. This longitudinal study aimed to fill this gap. Participants included 138 youth (Mage = 14.29, 75% girls) referred to a tertiary-level outpatient chronic pain program and one of their parents. At baseline, youth reported their pain intensity and interference, PTSS, and subjective sleep disturbances (ie, sleep quality and insomnia). Youth and parents completed semistructured diagnostic interviews to determine the child's post-traumatic stress disorder diagnostic status, and youth completed an objective assessment of sleep patterns for 7 days using actigraphy. At 3-month follow-up, youth once again completed the diagnostic interview and reported their pain intensity, pain interference, and PTSS. Partially latent cross-lagged structural equation panel models revealed that, controlling for pain intensity, pain interference and PTSS co-occurred at baseline, but not at follow-up (while controlling for baseline levels). Higher levels of baseline PTSS were predictive of increases in pain interference at follow-up. Furthermore, subjective sleep disturbances mediated the relationship between baseline PTSS and follow-up pain interference. These findings lend support to conceptual models of PTSS-pain co-occurrence and highlight a critical need to assess and address trauma and sleep disturbances in youth with chronic pain.

Contextualizing Cognitions: the Relation Between Negative Post-traumatic Cognitions and Post-traumatic Stress Among Palestinian Refugees

Negative post-traumatic cognitions (PTC) are a relevant factor in the development, persistence, and treatment of post-traumatic stress disorder (PTSD). Palestinian refugees live under challenging circumstances and have negative future prospects, so negative cognitions might be expected to prevail. It is uncertain whether findings on the relation between PTC and PTSD in other (non-refugee) populations can be generalized to the Palestinian refugee context. The first objective was to examine the degree to which endorsement of PTC in this sample differed from the endorsement observed in other samples. The second objective was to investigate whether PTC explain variance in PTSD symptomatology and are predictive of PTSD diagnostic status. In Palestinian refugees (N = 85, 51.8% female), PTSD symptoms and negative cognitions were assessed. One sample t tests and multiple logistic regression analyses were performed. Total PTC scores were significantly higher in the Palestinian sample than in reference samples. Negative cognitions explained significant variance in PTSD symptoms and probable diagnostic status. Findings support the relevance of PTC for PTSD symptoms and diagnosis in a Palestinian refugee sample, in line with the cognitive model for PTSD. This is especially relevant for researchers and clinicians working with refugees in conflict areas.

Posttraumatic stress disorder symptoms improve after an integrated brief alcohol intervention for OEF/OIF/OND veterans.

Although brief alcohol interventions (BAIs) that incorporate personalized feedback demonstrate efficacy for reducing the frequency and quantity of alcohol consumption in veteran samples, little research has explored the influence of BAIs in reducing symptoms of posttraumatic stress disorder (PTSD). The goal of this investigation was to understand whether PTSD symptom severity and diagnostic status changed after exposure to an intervention that targeted alcohol misuse and integrated feedback on PTSD. Sixty-eight combat veterans (8.8% female; 27.9% African American) who screened positive for hazardous drinking were recruited from a Veterans Affairs Medical Center. Participants received a 1-session brief intervention that primarily targeted alcohol misuse but also included personalized feedback and psychoeducation on PTSD symptoms and coping. Participants were randomized to receive personalized written feedback either with or without a motivational interview. A mixed-model repeated measures analysis revealed that PTSD symptom severity was significantly lower at the 6-week (M = 41.47, SD = 28.94) and 6-month (M = 35.56 SD = 26.99) follow-up appointments relative to baseline (M = 51.22, SD = 26.67), F(2, 127.24) = 38.32, p < .001. Regression analyses demonstrate that the percent change in alcohol use was related to the change in PTSD severity. Further, results indicated that a motivational-interviewing-style counseling session accompanying the feedback was not significantly more efficacious than receiving feedback only. A brief alcohol intervention that integrates information on PTSD has the potential to reduce PTSD severity. Personalized alcohol and PTSD feedback may be useful as an opportunistic intervention for OEF/OIF veterans. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

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

A timely determination of the risk of post-traumatic stress disorder (PTSD) is a prerequisite for efficient service delivery and prevention. We provide a risk estimate tool allowing a calculation of individuals' PTSD likelihood from early predictors. Members of the International Consortium to Predict PTSD (ICPP) shared individual participants' item-level data from ten longitudinal studies of civilian trauma survivors admitted to acute care centers in six countries. Eligible participants (N=2,473) completed an initial clinical assessment within 60days of trauma exposure, and at least one follow-up assessment 4-15months later. The Clinician-Administered PTSD Scale for DSM-IV (CAPS) evaluated PTSD symptom severity and diagnostic status at each assessment. Participants' education, prior lifetime trauma exposure, marital status and socio-economic status were assessed and harmonized across studies. The study's main outcome was the likelihood of a follow-up PTSD given early predictors. The prevalence of follow-up PTSD was 11.8% (9.2% for male participants and 16.4% for females). A logistic model using early PTSD symptom severity (initial CAPS total score) as a predictor produced remarkably accurate estimates of follow-up PTSD (predicted vs. raw probabilities: r=0.976). Adding respondents' female gender, lower education, and exposure to prior interpersonal trauma to the model yielded higher PTSD likelihood estimates, with similar model accuracy (predicted vs. raw probabilities: r=0.941). The current model could be adjusted for other traumatic circumstances and accommodate risk factors not captured by the ICPP (e.g., biological, social). In line with their use in general medicine, risk estimate models can inform clinical choices in psychiatry. It is hoped that quantifying individuals' PTSD risk will be a first step towards systematic prevention of the disorder.

Posttraumatic stress disorder in African American and Latinx adults: Clinical course and the role of racial and ethnic discrimination.

Research has suggested that African American and Latinx adults may develop posttraumatic stress disorder (PTSD) at higher rates than White adults, and that the clinical course of PTSD in these minority groups is poor. Factors that may contribute to higher prevalence and poorer outcome in these groups are sociocultural factors and racial stressors, such as experiences with discrimination. To date, however, no research has explored the relationship between experiences with discrimination and risk for PTSD, and very little research has examined the course of illness for PTSD in African American and Latinx samples. The present study examined these variables in the only longitudinal clinical sample of 139 Latinx and 152 African American adults with anxiety disorders, the Harvard/Brown Anxiety Research Project-Phase II. Over 5 years of follow-up, remission rates for African Americans and Latinx adults with PTSD in this sample were 0.35 and 0.15, respectively, and reported frequency of experiences with discrimination significantly predicted PTSD diagnostic status in this sample, but did not predict any other anxiety or mood disorder. These findings demonstrate the chronic course of PTSD in African American and Latinx adults, and highlight the important role that racial and ethnic discrimination may play in the development of PTSD among these populations. Implications for an increased focus on these sociocultural stressors in the assessment and treatment of PTSD in African American and Latinx individuals are discussed. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

A Randomized Controlled Trial of Group Cognitive Behavioral Treatment for Veterans Diagnosed With Chronic Posttraumatic Stress Disorder.

Relative to advances in the literature that have examined individual treatment approaches for posttraumatic stress disorder (PTSD), scientific knowledge about group treatment approaches has lagged, resulting in no currently available group treatment for PTSD despite the frequency with which this format is used. Our goal was to build upon the existing literature by examining the efficacy of a group cognitive-behavioral treatment (GCBT) for PTSD relative to group present-centered treatment (GPCT). The sample consisted of 198 male veterans with PTSD who were recruited at two Department of Veteran Affairs medical centers and randomly assigned to either GCBT (n = 98) or GPCT (n = 100); both treatments were 14 sessions. Assessments occurred at baseline, midtreatment, posttreatment, and 3-, 6-, and 12-month follow-ups. Findings indicated significant reductions in PTSD severity and PTSD diagnostic status following treatment for both GCBT, d = 0.97, and GPCT, d = 0.61. In addition, we observed significant reductions for depression symptoms, anxiety symptoms, and functional impairment for both group treatments as well as a reduction in the percentage of veteran participants who met diagnostic status for co-occurring major depression disorder and generalized anxiety disorder. Notably, these treatment gains were maintained at 12-month follow-up. Contrary to expectations, there were no significant differences between treatment conditions. Veterans diagnosed with PTSD were successfully treated using a group approach. Consistent with a growing body of evidence, the findings also suggest GPCT is as equally efficacious as group trauma-focused treatment. The trial was registered at clinicaltrials.gov (NCT01544088).