Journal of traumatic stress最新文献

Attentional bias and deficits in attentional control are associated with posttraumatic stress disorder (PTSD) symptoms. Attention control training (ACT) may address these factors. We reviewed randomized controlled trials (RCTs) of ACT for PTSD to address unanswered questions about ACT's effectiveness, tolerability, and implementation. Studies were included if they were an RCT that used an adult sample, recruited participants with a PTSD diagnosis, and had ACT as at least one treatment arm. The PTSD Trials Standardized Data Repository (PTSD-Repository) and additional databases were searched to identify PTSD RCTs published through May 2024. Seven studies met the inclusion criteria (N = 407). The effect size for ACT versus a comparison condition on PTSD symptoms was large, but the confidence interval (CI) overlapped with 0, g = 0.75, 95% CI [-0.63, 2.12]. The same pattern was observed for attention bias variability, g = 1.04, 95% CI [-0.90, 2.98]. There was a significant within-group effect of ACT on self-reported PTSD symptoms, g = -1.43, 95% CI [-2.83, -0.03]. Risk of bias varied, with high risk of bias being primarily due to bias in the measurement of the outcome. These effects should be interpreted cautiously given the significant heterogeneity and wide confidence intervals observed. It remains unclear for whom and under what conditions ACT may be most effective. Future studies should move beyond response time measures, employ an inactive comparator, and examine the mechanism of action to determine whether ACT could be a viable intervention for PTSD.

Anger can adversely impact functioning in veterans. Psychological aggression, which is related to but distinct from anger, is particularly detrimental to veterans’ mental health. Research examining anger and psychological aggression following individual therapy for posttraumatic stress disorder (PTSD) has demonstrated small effect sizes. Treatments that directly target conflict management and interpersonal functioning, both regarding content and delivery to veterans and their loved ones (e.g., couples-based PTSD treatments), may be more effective in alleviating anger symptoms. This study examined whether larger reductions in anger and psychological aggression would be observed in a couples-based intervention compared to an active comparator at posttreatment and follow-up. Data were derived from a randomized trial comparing brief cognitive–behavioral conjoint therapy for PTSD (bCBCT) and PTSD family education (PFE). Participants were 137 veterans and their intimate partners (bCBCT: n = 92, PFE: n = 45). We observed within-condition significant reductions in angry temperament, d = -0.47, p < .001, and angry reaction, d = −0.26, p = .004, among veterans in bCBCT but not PFE, |d|s = 0.13–0.17, ps = .166–.268. Veterans and partners in both conditions reported reductions in psychological aggression, |d|s = 1.09–1.46, ps < .001. There were no significant differences between the treatment conditions on any outcome, ps = .103–.443, and there were no significant changes in anger between posttreatment and follow-up, |d|s = 0.07–0.24, ps = .052–.582. Couples-based interventions for PTSD, including bCBCT and PFE, can be effective in improving aspects of anger among veterans and their intimate partners.

The PTSD Checklist for DSM-5 (PCL-5) is the most widely used self-report measure of posttraumatic stress disorder (PTSD) and is frequently modeled as having four correlated factors consistent with the DSM-5 symptom structure. Some researchers have argued that item order may influence factor structure. Although two studies have examined this, they were both based on DSM-IV criteria, and neither utilized a randomized design. Thus, this study aimed to determine whether item order impacts the factor structure of the PCL-5, using two independent samples of community participants (N = 347, 67.7% female, 85.3% White) and veterans (N = 409, 83.6% male, 61.9% Black/African American). Approximately half of each sample was randomized to receive the PCL-5 in the original fixed order, whereas the other half received a uniquely randomized version. We compared the DSM-5 four-factor model to several theoretically relevant models and found improved model fit in the seven-factor hybrid model, community sample: ∆χ² = 153.87, p < .001; veterans: ∆χ² = 152.61, p < . 001. Consequently, the DSM-5 four-factor and seven-factor hybrid models were retained for invariance testing. Across both samples, measurement invariance was examined between the randomized and fixed-order groups. Configural invariance, partial metric invariance, and partial scalar invariance were achieved in both samples, ps = .054–.822, suggesting that the fit of the DSM-5 four-factor structure and the seven-factor hybrid model, as measured using the PCL-5, are not due to order effects. These findings support the continued use of the PCL-5 in a fixed fashion.

Bisexual+ (e.g., bisexual, pansexual, queer) women experience higher rates of sexual violence (SV) and posttraumatic stress disorder (PTSD) than heterosexual and lesbian women, as well as unique identity-related minority stress. We examined between- and within-person associations between bisexual minority stress and PTSD symptoms related to SV in a sample of young bisexual+ women (N = 133) who reported adult SV (M_age = 22.0 years, range: 18–25 years; 85.0% White; 99.3% cisgender). We analyzed data from four waves of data collection (baseline to 3-month follow-up) using multilevel models. Controlling for SV severity, there was a significant within-person effect of antibisexual stigma from lesbian/gay people on PTSD, β = .17, p = .010, suggesting that at waves when women experienced more stigma, they also reported higher PTSD symptom levels. At the between-person level, women who reported higher levels of antibisexual stigma from heterosexual people, β = .26, p = .043, and anticipated binegativity, β = .29, p = .005, on average across study waves also reported higher average levels of PTSD. Additionally, anticipated binegativity explained the association between average antibisexual stigma and PTSD, β = .15, p = .014, 95% CI [0.45, 4.61]. Bisexual minority stress may be associated with higher PTSD symptom severity following SV among young bisexual+ women, and the anticipation of binegativity may be a target mechanism in this association. Study findings highlight the importance of examining the joint contributions of SV and minority stress to identify novel targets for future research and practice to address PTSD symptoms.

Though social support (SS) and communal mastery (CM) are resilience factors among American Indian and Alaska Natives (AIAN), they have not been examined as trauma treatment predictors in this at-risk group. This study evaluated whether SS and CM were associated with improved treatment response in a sample of 73 AIAN women with posttraumatic stress disorder (PTSD) symptoms. Participants received culturally adapted CPT and were assessed for PTSD, CM, and SS. Data were analyzed using linear mixed-effects models. SS predicted improved PTSD, β = −.16, SE = .05, p = .003, and mental health, β = .16, SE = .05, p = .005, but not physical health. CM predicted improved PTSD, β = −.93, SE = .34, p = .008; mental health, β = .90, SE = .36, p = .013; and physical health, β = .95, SE = .31, p = .003. In a combined model, SS predicted improvements in PTSD, β = −.15, SE = .04, p < .001, and mental health, β = .12, SE = .06, p = .037, whereas CM did not. CM predicted improved physical health, β = 1.04, SE = .33, p = .003, whereas SS did not. Results highlight the benefits of SS and CM in trauma treatment outcomes for AIAN women, consistent with prior work, and further underscore the differential role of SS versus CM on mental versus physical health. Future work should explore how orientation to close and communal-level relationships may inform the protective benefits of social resources among AIAN.

At the 2023 International Society for Traumatic Stress Studies annual meeting, a panel of three distinguished investigators and clinicians convened to reflect on their careers, their contributions to the field of traumatic stress disorders, and the lessons learned over the years. Dr. Terence M. Keane has guided the development and deployment of evidence-based care, shaping evaluation guidelines and best treatment practices for traumatic stress pathology. Dr. Sheila Rauch, a pioneer in the development of prolonged exposure therapy, has significantly contributed to the treatment of posttraumatic stress disorder (PTSD) and other traumatic stress disorders. Dr. Richard Bryant has developed targeted psychological treatments for traumatic stress and prolonged grief, adapting to the diverse needs, mechanisms, and cultural contexts of patients. These individuals’ collective experiences span from the establishment of the PTSD diagnosis to the current proliferation of scientific knowledge on its epidemiology, assessment, and treatment. Their unique yet overlapping contributions have provided invaluable guidelines for the next generation of clinicians and investigators. This panel discussion offers a retrospective look at their careers and a forward-looking perspective on the future of traumatic stress treatment.

At the 39th meeting of the International Society of Traumatic Stress Studies, four leading scientists and clinicians were invited to reflect on their careers, focusing on the biological mechanisms and markers of traumatic stress. Dr. Raul Andero has contributed to understanding how stress alters memory networks in the brain, influencing the development of novel treatments. Dr. Tanja Jovanovic has pioneered the measurement and mechanistic understanding of fear learning, bridging basic and clinical research. Dr. Murray B. Stein has scaled up clinical and lab observations to large populations, refining the field's understanding of traumatic stress. Dr. Arieh Y Shalev has shaped the definition of traumatic stress, pioneering the longitudinal investigation of stress and integrating advanced computational methods to identify individuals at risk. These panelists were asked to reflect on their initial problems, ambitions, concerns, and unexpected challenges, as well as the influence of their work, on new research trajectories. Their insights provide valuable lessons about the process and content of their work, and their pioneering efforts have significantly advanced our understanding of the biological mechanisms and markers of traumatic stress.

The Clinician-Administered PTSD Scale for DSM-5 (CAPS-5) is a widely used, well-validated structured interview for posttraumatic stress disorder (PTSD). It was recently revised to improve various aspects of administration and scoring. We conducted a psychometric evaluation of the revised version, known as the CAPS-5-R. Participants were 73 community residents with mixed trauma exposure (e.g., sexual assault, physical assault, transportation accident, the unnatural death of a loved one). CAPS-5-R PTSD diagnosis demonstrated good test–retest reliability, кs = .73–.79; excellent interrater reliability, кs = .86–.93; and good-to-excellent alternate forms reliability with the CAPS-5, кs = .79–.93. In addition, the CAPS-5-R total PTSD severity score demonstrated excellent test–retest reliability, intraclass correlation coefficient (ICC) = .86; interrater reliability, ICC = .98; and alternate forms reliability with the CAPS-5, r = .95. Further, the CAPS-5-R demonstrated good convergent validity with other measures of PTSD and good discriminant validity with measures of other constructs (e.g., depression, anxiety, alcohol problems, somatic concerns, mania). Given its strong psychometric performance in this study, as well as its improvements in administration and scoring, the CAPS-5-R appears to be a valuable update of the current CAPS-5.

Although collective violence represents a significant public health concern, a limited number of longitudinal studies have addressed this topic, with no systematic reviews focusing on posttraumatic stress symptom (PTSS) trajectories. The present systematic review and meta-analyses examined PTSS prevalence and trajectories after exposure to collective violence. A systematic literature search across six databases (APA PsycInfo, APA PsycArticles, PSYINDEX, MEDLINE, ERIC, and PubMed) identified 771 studies that were screened for the following eligibility criteria: exposure to collective violence, adult sample, longitudinal design, PTSS assessment using validated measures, PTSS trajectories estimated using latent growth modeling, and report sample prevalence rate for each trajectory. Ten studies met the criteria, and five meta-analyses were performed to assess the overall prevalence of each trajectory. Most included studies (63.6%) identified four trajectories, characterized as low-stable, high-stable, decreasing, and delayed-worsening. The low-stable trajectory was the modal response, with a pooled prevalence of 58.0%, 95% CI [51.0, 65.0]. The high-stable prevalence was 7.0%, 95% CI [4.0, 19.0]; the decreasing trajectory was 13%, 95% CI [9.0, 17.0]; and the delayed-worsening trajectory was 8.0%, 95% CI [5.0, 10.0]. A fifth trajectory, moderately stable, had a prevalence of 19.0%, 95% CI [9.0, 29.0]. The trajectory models robustly identified clinically relevant patterns of response to collective violence, offering a contribution to the literature and a starting point for future research. Further studies are needed, as a better comprehension of symptom trajectories after collective violence events has important clinical and public health implications.

Psychological assessment is commonly conducted using either self-report measures or clinical interviews; the former are quick and easy to administer, and the latter are more time-consuming and require training. Self-report measures have been criticized for producing higher estimates of symptom and disorder presence relative to clinical interviews, with the assumption being that self-report measures are prone to Type 1 error. Here, we introduce the use of “clinical checks” within an existing self-report measure. These are brief supplementary questions intended to clarify and confirm initial responses, similar to what occurs in a clinical interview. Clinical checks were developed for the items of the International Grief Questionnaire (IGQ), a self-report measure of ICD-11 prolonged grief disorder (PGD). Data were collected as part of a community survey of mental health in Ukraine. Individual symptom endorsements for the IGQ significantly decreased with the use of clinical checks, and the percentage of the sample that met the ICD-11 diagnostic requirements for PGD fell from 13.6% to 10.2%, representing a 24.8% reduction in cases. The value and potential broader application of clinical checks are discussed.