A study protocol for the modified interactive screening program plus MINDBODYSTRONG© RCT: A mental health resiliency intervention for nurses.

BACKGROUND: Nurses, the largest workforce in healthcare, are at high risk of depression, anxiety, burnout, and suicidal ideation. Suicide among nurses is higher than the general population. This randomized controlled trial pairs the MINDBODYSTRONG© cognitive-behavioral skills building program with the American Foundation for Suicide Prevention's (AFSP) Modified Interactive Screening Program (mISP) to reduce depression, suicidal ideation, post-traumatic stress, anxiety, and burnout, and improve healthy lifestyle beliefs, healthy lifestyle behaviors, and job satisfaction in nurses with moderate to high risk of suicide. AIMS: This study aims to determine the effects of the mISP combined with the digitized MINDBODYSTRONG© program versus the mISP alone on depression, suicidal ideation, burnout, anxiety, post-traumatic stress, healthy lifestyle beliefs, healthy lifestyle behaviors, and job satisfaction in 364 U.S. nurses. METHODS: A digitized version of MINDBODYSTRONG© combined with the mISP screening and referral platform will be compared to the AFSP mISP alone through a two-arm randomized controlled trial. Follow-up post-intervention data will be collected at week eight and months three, six, and 12. DISCUSSION: If successful, this study's findings could assist nurses who are hesitant to use conventional mental health resources by providing them with confidential aid and learning opportunities to reduce suicidality, depression, anxiety, post-traumatic stress, and burnout and improve healthy lifestyle beliefs, healthy lifestyle behaviors, and job satisfaction. TRIAL/STUDY REGISTRATION: The Ohio State University Protocol Record 2021B0417, Modified Interactive Screening Program Plus MINDBODYSTRONG: A Mental Health Resiliency Intervention for Nurses, is registered and posted at ClinicalTrials.gov Identifier: NCT05582343. First posted date is October 17, 2022.

Applying the PTSD Checklist-Civilian and PTSD Checklist for DSM-5 crosswalk in a traumatic brain injury sample: A veterans affairs traumatic brain injury model systems study.

This study evaluates the use of the crosswalk between the PTSD Checklist-Civilian (PCL-C) and PTSD Checklist for DSM-5 (PCL-5) designed by Moshier et al. (2019) in a sample of service members and veterans (SM/V; N = 298) who had sustained a traumatic brain injury (TBI) and were receiving inpatient rehabilitation. The PCL-C and PCL-5 were completed at the same time. Predicted PCL-5 scores for the sample were obtained according to the crosswalk developed by Moshier et al. We used three measures of agreement: intraclass correlation coefficient (ICC), mean difference between predicted and observed scores, and Cohen's κ to determine the performance of the crosswalk in this sample. Subgroups relevant to those who have sustained a TBI, such as TBI severity, were also examined. There was strong agreement between the predicted and observed PCL-5 scores (ICC = .95). The overall mean difference between predicted and observed PCL-5 scores was 0.07 and not statistically significant (SD = 8.29, p = .89). Significant mean differences between predicted and observed PCL-5 scores calculated between subgroups were seen in Black participants (MD = -4.09, SD = 8.41, p = .01) and those in the Year 5 follow-up group (MD = 1.77, SD = 7.14, p = .03). Cohen's κ across subgroups had a mean of κ = 0.76 (.57-1.0), suggesting that there was moderate to almost perfect diagnostic agreement. Our results suggest the crosswalk created by Moshier et al. can be applied to SM/V who have suffered a TBI. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Study protocol for a single-blind, parallel-group, randomized, controlled superiority trial of intensive versus weekly delivered prolonged exposure for adults with post-traumatic stress disorder.

BACKGROUND: Prolonged exposure (PE) therapy is widely recognized as an effective treatment for post-traumatic stress disorder (PTSD) and is often considered one of the primary options for addressing this condition. Nevertheless, a significant proportion of patients (30-51%) fail to demonstrate clinically significant symptom changes. One of the reasons is that a high proportion of patients drop out from treatment, which often lasts for a minimum of 3-4 months. Hence, there is an urgent need for PTSD treatments that can be delivered to decrease dropout rates. A more intensive PE treatment approach has been suggested to decrease dropout rates and in addition achieve faster recovery rates and has shown promising effects on reducing PTSD symptoms but needs to be tested against firsthand treatment. METHODS: This single-blind, randomized controlled trial (N = 140) will compare an intensive delivery format of prolonged exposure (iPE) against standard weekly delivered sessions of PE. The primary outcome is change on the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5). Secondary outcomes include self-rated measures of symptoms of PTSD and complex PTSD, depression and quality of life, speed of recovery, cost effectiveness, dropout rates, and adverse events. DISCUSSION: This study will be the first to compare iPE with first-line treatment in a psychiatric outpatient setting. One of the key strengths of this study lies in its implementation within a clinical setting and the broad eligibility criteria. Additionally, the utilization of gold-standard assessment measures ensures the accuracy and reliability of the outcomes. However, several potential challenges may arise during the study's execution. These challenges may include difficulties in participant recruitment, ensuring adequate participant retention, adherence to the treatment protocol, and maintaining therapist retention mostly due to recruitment taking place at one single clinic. TRIAL REGISTRATION NUMBER: Clinicaltrials.gov NCT05934175. Registered on June 6, 2023. Open Science Framework (OSF) https://osf.io/7qsb3 . Registered on September 2, 2023.

The significant others' responses to trauma scale (SORTS): applying factor analysis and item response theory to a measure of PTSD symptom accommodation.

Background: Symptom accommodation by family members (FMs) of individuals with posttraumatic stress disorder (PTSD) includes FMs' participation in patients' avoidance/safety behaviours and constraining self-expression to minimise conflict, potentially maintaining patients' symptoms. The Significant Others' Responses to Trauma Scale (SORTS) is the only existing measure of accommodation in PTSD but has not been rigorously psychometrically tested.Objective: We aimed to conduct further psychometric analyses to determine the factor structure and overall performance of the SORTS. Method: We conducted exploratory and confirmatory factor analyses using a sample of N = 715 FMs (85.7% female, 62.1% White, 86.7% romantic partners of individuals with elevated PTSD symptoms).Results: After dropping cross-loading items, results indicated good fit for a higher-order model of accommodation with two factors: an anger-related accommodation factor encompassed items related largely to minimising conflict, and an anxiety-related accommodation factor encompassed items related primarily to changes to the FM's activities. Accommodation was positively related to PTSD severity and negatively related to relationship satisfaction, although the factors showed somewhat distinct associations. Item Response Theory analyses indicated that the scale provided good information and robust coverage of different accommodation levels.Conclusions: SORTS data should be analysed as both a single score as well as two factors to explore the factors' potential differential performance across treatment and relationship outcomes.

We examined the Significant Others' Responses to Trauma Scale (SORTS), a measure of symptom accommodation in PTSD, among a large sample of family members.As measured by the SORTS, accommodation in PTSD could be broken down into two aspects: anger-related accommodation and anxiety-related accommodation.Accommodation was positively related to PTSD severity and negatively related to relationship satisfaction.

[Posttraumatic stress disorder clinical guidelines and treatment standards: focus on the symptoms of the psychophysiological arousal]. / Klinicheskie rekomendatsii i standarty lecheniya posttravmaticheskogo stressovogo rasstroistva: fokus na simptomy psikhofiziologicheskogo vozbuzhdeniya.

The article describes the main diagnostic criteria and principles of posttraumatic stress disorder (PTSD) diagnostic with the consideration of risk factors and specific clinical features. The main biomarkers search trends and existing limitations are considered. The role of the psychophysiological arousal symptoms claster is highlighted in the clinical picture of PTSD as well as in connection with the main cluster of re-experiencing symptoms activation and slowing of sanogenesis process. The necessity of PTSD detection in somatic medicine is thoroughly described. The article presents therapeutic algorithms of the latest international and Russian PTSD treatment clinical guidelines based on the individual combination of psychotherapy and psychopharmacotherapy treatment choice. Additionally the accumulated during the last decades national clinical experience of the anxiety disorders treatment, including the symptoms of psychophysiological arousal is highlighted that determined the list of the recommended drugs indicating the evidence level, in the PTSD treatment standards and guidelines. The treatment choices possibilities with the consideration of different PTSD symptoms cluster expression and comorbid states and individual case distress level specific are presented. Main evidence based psychotherapeutic methods are described.

Trends in Diagnosed Posttraumatic Stress Disorder and Acute Stress Disorder in US College Students, 2017-2022.

This cross-sectional study investigates trends in the prevalence of diagnosed posttraumatic stress disorder (PTSD) and acute stress disorder (ASD) among US college students during a period of increased societal stresses and global health crises from 2017 to 2022.

Interdisciplinary approach to identify language markers for post-traumatic stress disorder using machine learning and deep learning.

Post-traumatic stress disorder (PTSD) lacks clear biomarkers in clinical practice. Language as a potential diagnostic biomarker for PTSD is investigated in this study. We analyze an original cohort of 148 individuals exposed to the November 13, 2015, terrorist attacks in Paris. The interviews, conducted 5-11 months after the event, include individuals from similar socioeconomic backgrounds exposed to the same incident, responding to identical questions and using uniform PTSD measures. Using this dataset to collect nuanced insights that might be clinically relevant, we propose a three-step interdisciplinary methodology that integrates expertise from psychiatry, linguistics, and the Natural Language Processing (NLP) community to examine the relationship between language and PTSD. The first step assesses a clinical psychiatrist's ability to diagnose PTSD using interview transcription alone. The second step uses statistical analysis and machine learning models to create language features based on psycholinguistic hypotheses and evaluate their predictive strength. The third step is the application of a hypothesis-free deep learning approach to the classification of PTSD in our cohort. Results show that the clinical psychiatrist achieved a diagnosis of PTSD with an AUC of 0.72. This is comparable to a gold standard questionnaire (Area Under Curve (AUC) ≈ 0.80). The machine learning model achieved a diagnostic AUC of 0.69. The deep learning approach achieved an AUC of 0.64. An examination of model error informs our discussion. Importantly, the study controls for confounding factors, establishes associations between language and DSM-5 subsymptoms, and integrates automated methods with qualitative analysis. This study provides a direct and methodologically robust description of the relationship between PTSD and language. Our work lays the groundwork for advancing early and accurate diagnosis and using linguistic markers to assess the effectiveness of pharmacological treatments and psychotherapies.

Salivary inflammatory biomarkers as a predictor of post-traumatic stress disorder and depressive symptom severity in trauma patients: A prospective study.

BACKGROUND: Although post-traumatic stress disorder (PTSD) and depression screening are recommended for traumatic injury patients, routine screening is still uncommon. Salivary inflammatory biomarkers have biological plausibility and potential feasibility and acceptability for screening. This study tested prospective associations between several salivary inflammatory biomarkers (proinflammatory cytokines interleukin-1ß, interleukin-6, tumor necrosis factor-α; and C-reactive protein), collected during hospitalization and PTSD and depressive symptoms at 5-month follow-up. METHODS: Adult traumatic injury patients (N = 696) at a major urban Level 1 trauma center provided salivary samples and completed PTSD and depressive symptom measures during days 0-13 of inpatient hospitalization. At 5-month follow-up, 368 patients (77 % male, 23 % female) completed the Clinician-Administered PTSD Scale for DSM-IV and the Self-rated Inventory of Depressive Symptomatology. Analyses focused on a latent inflammatory cytokine factor and C-reactive protein at baseline predicting 5-month PTSD and depression symptom outcomes and included baseline symptom levels as covariates. RESULTS: A latent factor representing proinflammatory cytokines was not related to 5-month PTSD or depressive symptom severity. Higher salivary CRP was related to greater PTSD symptom severity (ß = .10, p = .03) at 5-month follow-up and more severity in the following depressive symptoms: changes in weight and appetite, bodily complaints, and constipation/diarrhea (ß's from .14 to .16, p's from .004 -.03). CONCLUSION: In a primarily Latine and Black trauma patient sample, salivary CRP measured after traumatic injury was related to greater PTSD symptom severity and severity in several depressive symptom clusters. Our preliminary findings suggest that salivary or systemic CRP may be useful to include in models predicting post-trauma psychopathology.

[MDMA-assisted therapy for PTSD].

MDMA is a potential novel treatment for post-traumatic stress disorder (PTSD). Our goal is to review current knowledge on MDMA and its use in MDMA-assisted psychotherapy for PTSD. Literature searches were done on PubMed, Web of Science and Google Scholar and references reviewed in identified articles. MDMA-assisted therapy for PTSD usually consists of a few preparatory sessions before two or three sessions where one or two oral doses of MDMA are given along with supportive psychotherapy. The therapy is delivered in the presence of two therapists for about eight hours each time. In addition, the patient receives up to 9 integrative sessions in due course. This use of MDMA as a part of psychotherapy for PTSD is proposed to lessen the psychological distress that often arises in the processing of traumatic events to facilitate the treatment process and reduce the risk of drop-out. Recent studies indicate that MDMA-assisted psychotherapy reduces PTSD symptoms and is generally well tolerated. These studies are necessary if this MDMA-assisted treatment is to be approved by licensing authorities. There is an urgent need for new effective treatments for PTSD and for comparisons between this MDMA-assisted psychotherapy and currently approved psychotherapies with and without MDMA-use.

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.

Are There Differences Among Evidence-Based Psychotherapies for Treating Different DSM-5 PTSD Symptom Clusters? A Systematic Review and Meta-analysis of Controlled Clinical Trials.

ABSTRACT: Posttraumatic stress disorder (PTSD) is a heterogeneous disease defined by four Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) symptom clusters: reexperiencing, avoidance, negative alterations in cognitions and mood, and hyperarousal. There are effective evidence-based psychotherapies (EBPs) for PTSD. However, given the variety of PTSD clinical presentations, we conducted the first meta-analysis investigating whether DSM-5 PTSD symptom clusters show different responses to EBPs. We systematically reviewed the literature for controlled clinical trials in five databases, performed a meta-analysis, and evaluated the methodological quality of the studies. We screened 633 studies and included seven. Three showed high risk, two showed some concerns, and one showed a low risk of bias. The symptom clusters do not seem to respond differently to EBPs (SMD cluster B: -0.40; 95% confidence interval [CI], -0.87 to 0.08; cluster C: -0.49; 95% CI, -0.90 to -0.08; cluster D: -0.44; 95% CI, -0.94 to 0.05; cluster E: -0.54; 95% CI, -1.07 to -0.0), even when analyzed by the therapeutic focuses. The findings dovetail nicely with the network theory of PTSD symptom, as although it is a heterogeneous disorder, the EBPs seem to promote a kind of cascade of symptom improvement.

Reliability and validity of the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5) test for post-traumatic stress disorder in mental health nurses in Spain.

BACKGROUND: Here we report the reliability and test/re-test validity of a Castillan version of the PCL-5 (PCL5-C) in mental health nurses. METHODS: A sample of 52 consecutive nurses was recruited from two psychiatric hospitals and four psychiatrists units of general hospitals in Madrid, Spain. RESULTS: We detected high internal consistency for the study questionnaire at the test assessment (n = 52) and at retest 0.929 and 0.935, respectively, by total Cronbach's α. All of the items at test and re-test correlated with the total score. CONCLUSIONS: Reproducibility analysis showed excellent test/re-test reliability for the total score and each item. Based on our findings, we conclude that the PCL5-C is a valid and reliable questionnaire when applied among Spanish mental health nurses population.

Clinical relevance of subthreshold PTSD versus full criteria PTSD following traumatic brain injury in U.S. service members and veterans.

BACKGROUND: The purpose of this cross-sectional study was to examine the influence of subthreshold posttraumatic stress disorder (PTSD) and full PTSD on quality of life following mild traumatic brain injury (mTBI). METHODS: Participants were 734 service members and veterans (SMV) classified into two injury groups: uncomplicated mild TBI (MTBI; n = 596) and injured controls (IC, n = 139). Participants completed a battery of neurobehavioral measures, 12-or-more months post-injury, that included the PTSD Checklist Civilian version, Neurobehavioral Symptom Inventory, and select scales from the TBI-QOL and MPAI. The MTBI group was divided into three PTSD subgroups: No-PTSD (n = 266), Subthreshold PTSD (n = 139), and Full-PTSD (n = 190). RESULTS: There was a linear relationship between PTSD severity and neurobehavioral functioning/quality of life in the MTBI sample. As PTSD severity increased, significantly worse scores were found on 11 of the 12 measures (i.e. , MTBI: Full-PTSD > Sub-PTSD > No-PTSD). When considering the number of clinically elevated scores, a linear relationship between PTSD severity and neurobehavioral functioning/quality of life was again observed in the MTBI sample (e.g., 3-or-more elevated scores: Full-PTSD = 92.1 %, Sub-PTSD = 61.9 %, No-PTSD = 19.9 %). LIMITATIONS: Limitations included the use of a self-report measure to determine diagnostic status that may under/overcount or mischaracterize individuals. CONCLUSION: PTSD symptoms, whether at the level of diagnosable PTSD, or falling short of that because of the intensity or characterization of symptoms, have a significant negative impact on one's quality of life following MTBI. Clinicians' treatment targets should focus on the symptoms that are most troubling for an individual and the individual's perception of quality of life, regardless of the diagnosis itself.

Psychometric evaluation of the PCL-5: assessing validity, diagnostic utility, and bifactor structures.

Background: The changes DSM-5 brought to the diagnostic criteria for posttraumatic stress disorder (PTSD) resulted in revising the most widely used instrument in assessing PTSD, namely the Posttraumatic Checklist for DSM-5 (PCL-5).Objective: This study examined the psychometric properties of the Romanian version of the PCL-5, tested its diagnostic utility against the Structured Clinical Interview for DSM-5 (SCID-5), and investigated the latent structure of PTSD symptoms through correlated symptom models and bifactor modelling.Method: A total sample of 727 participants was used to test the psychometric properties and underlying structure of the PCL-5 and 101 individuals underwent clinical interviews using SCID-5. Receiver operating characteristic curve (ROC) analyses were performed to test the diagnostic utility of the PCL-5 and identify optimal cut-off scores based on Youden's J index. Confirmatory Factor Analyses (CFAs) and bifactor modelling were performed to investigate the latent structure of PTSD symptoms.Results: Estimates revealed that the PCL-5 is a valuable tool with acceptable diagnostic accuracy compared to SCID-5 diagnoses, indicating a cut-off score of >47. The CFAs provide empirical support for Anhedonia, Hybrid, and bifactor models. The findings are limited by using retrospective, self-report data and the high percentage of female participants.Conclusions: The PCL-5 is a psychometrically sound instrument that can be useful in making provisional diagnoses within community samples and improving trauma-informed practices.

This study offers an in-depth analysis of the Romanian version of the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5), exploring its psychometric properties, diagnostic utility, and latent structure.An optimal cut-off score was identified for PTSD diagnosis using the SCID-5, providing essential insights into the diagnostic process and enhancing its utility in clinical assessments.Using bifactor modelling and other statistical methods, various PTSD models were compared to offer valuable guidance for future research, assessment, and interventions in this field.

Psychometric properties of the Children's Revised Impact of Event Scale (CRIES-8) among refugee adolescents from Afghanistan, Syria, and Somalia.

Background: High levels of post-traumatic stress are well documented among refugees. Yet, refugee adolescents display high heterogeneity in their type of trauma and symptom levels.Objective: Following the recurrent plea for validated trauma screening tools, this study investigated the psychometric properties of the Children's Revised Impact of Event Scale (CRIES-8) among refugee adolescents from Afghanistan (n = 148), Syria (n = 234), and Somalia (n = 175) living in Europe.Method: The model fit for the confirmatory factor structures was tested, as well as measurement invariance between the three groups. The robustness of results was evaluated by testing measurement invariance between recently arrived and settled adolescents, and between different response labelling options. Reliability (α, ω, and ordinal α), criterion validity, and prevalence estimates were calculated.Results: The intrusion subscale showed a better stable model fit than the avoidance subscale, but the two-factor structure was mainly supported. Configural measurement invariance was achieved between Afghan and Somali adolescents, and strong measurement invariance between Syrian and Somali adolescents. The results were robust considering the time living in the host country and response labelling styles. Reliability was low among Afghan and Syrian adolescents (.717-.856), whereas it was higher among Somali adolescents (.831-.887). The total score had medium-sized correlations with emotional problems (.303-.418) and low correlations with hyperactivity (.077-.155). There were statistically significant differences in symptom prevalence: Afghan adolescents had higher prevalence (55.5%) than Syrian (42.8%) and Somali (37%) adolescents, and unaccompanied refugee minors had higher symptom prevalence (63.5%) than accompanied adolescents (40.7%).Conclusions: This study mostly supports the use of the CRIES-8 among adolescents from Afghanistan, Syria, and Somalia, and even comparative analyses of group means. Variation in reliability estimates, however, makes diagnostic predictions difficult, as the risk of misclassification is high.

We investigated the psychometric properties of the 8-item Children's Revised Impact of Event Scale (CRIES-8) among refugee adolescents from Afghanistan, Syria, and Somalia living in Europe.We found support for the CRIES-8 as a suitable assessment tool for Afghan, Syrian, and Somali adolescents.The reliability of the CRIES-8 was low among Afghan and Syrian adolescents, whereas among Somali adolescents, reliability was higher.

Identifying post-traumatic stress symptom typologies in clinical and non-clinical healthcare staff: a latent profile analysis.

Background: There has been growing concern regarding increasing levels of post-traumatic stress (PTS) symptoms experienced by healthcare workers (HCW) in the UK, particularly following the COVID-19 pandemic.Objectives: PTS symptom typologies have been investigated in other adult populations using person-centred latent variable approaches, revealing profiles showing differing symptom levels and patterns. We aimed to explore typologies among clinical and non-clinical healthcare staff to elucidate heterogeneity of presentation.  Methods: This was a retrospective study using referral data from treatment-seeking healthcare staff in the North of England (N = 1600). We employed latent profile analysis using the PTSD International Trauma Questionnaire domains as profile indicators. We included covariates relating to role-type, depression, anxiety and mental health concerns before March of 2020.   Results: A model with six profiles fit the data best. Profile names were given as follows: 'No symptom'; 'Low symptom'; 'Low symptom (moderate Sense of current threat (Th_dx) and Functional impairment (FI))'; 'Moderate symptom (low Th_dx and high Avoidance (Av_dx))'; 'Moderate symptom'; and 'High symptom'. Covariates were shown to have differential predictive power on profile membership. Conclusions: The finding of profiles with pattern differences suggests a need for both differential and specifically targeted treatments, as well as a consideration of early intervention for those individuals with subclinical PTS symptoms. As expected, anxiety and depression were both predictors of several of the symptomatic profiles, with anxiety producing a larger effect. Further research is required to fully understand the link between role-type and PTS symptom typologies among HCW. .

Six distinct profiles of post-traumatic stress symptoms were found in treatment-seeking healthcare staff.Four of the profiles differed only in terms of severity of symptoms. Two of the profiles revealed pattern differences relating to differing severity across avoidance, sense of current threat and functional impairment.Working in a non-clinical role (e.g. hospital porter or admin staff) predicted membership of two of the moderate symptom profiles.Other mental health difficulties, anxiety and depression, predicted membership of several symptomatic profiles.

Clinical reappraisal of the composite international diagnostic interview version 3.3 in Qatar's National Mental Health Study.

OBJECTIVES: Lifetime DSM-5 diagnoses generated by the lay-administered Composite International Diagnostic Interview for DSM-5 (CIDI) in the World Mental Health Qatar (WMHQ) study were compared to diagnoses based on blinded clinician-administered reappraisal interviews. METHODS: Telephone follow-up interviews used the non-patient edition of the Structured Clinician Interview for DSM-5 (SCID) oversampling respondents who screened positive for five diagnoses in the CIDI: major depressive episode, mania/hypomania, panic disorder, generalized anxiety disorder, and obsessive-compulsive disorder. Concordance was also examined for a diagnoses of post-traumatic stress disorder based on a short-form versus full version of the PTSD Checklist for DSM-5 (PCL-5). RESULTS: Initial CIDI prevalence estimates differed significantly from the SCID for most diagnoses ( χ 1 2 ${\chi }_{1}^{2}$  = 6.6-31.4, p = 0.010 < 0.001), but recalibration reduced most of these differences and led to consistent increases in individual-level concordance (AU-ROC) from 0.53-0.76 to 0.67-0.81. Recalibration of the short-form PCL-5 removed an initially significant difference in PTSD prevalence with the full PCL-5 (from χ 1 2 ${\chi }_{1}^{2}$  = 610.5, p < 0.001 to χ 1 2 ${\chi }_{1}^{2}$  = 2.5, p = 0.110) while also increasing AU-ROC from 0.76 to 0.81. CONCLUSIONS: Recalibration resulted in valid diagnoses of common mental disorders in the Qatar National Mental Health Survey, but with inflated prevalence estimates for some disorders that need to be considered when interpreting results.

Comorbidity and Quality of Life in DSM-5 Social Anxiety Disorder Among a Nationally Representative Sample.

Objective: Social anxiety disorder (SAD) is a prevalent and debilitating psychiatric disorder that is associated with impairments in functioning and detrimental outcomes such as suicide, poor physical quality of life (QOL), and overall mental health. The goal of the present study was to examine the past year comorbidities of DSM-5 SAD among a large nationally representative sample of US adults (N = 36,309) and to examine correlates of physical QOL and overall mental health among individuals with past-year SAD (N = 980).Methods: The study utilized data from the National Epidemiologic Survey on Alcohol and Related Conditions-III to examine diagnostic correlates of SAD as well as how symptoms and features of SAD are related to QOL using survey-weighted regression analyses.Results: We found that comorbid depression, anxiety disorders, posttraumatic stress disorder, and borderline personality disorder were positively associated with SAD. Further, presence of these disorders was also associated with poorer mental health among those with SAD. We also found that specific feared situations (eg, eating and drinking in public) and social anxiety symptoms (panic attack and avoidance) were linked to both forms of QOL (all ps <0.01).Conclusion: The present findings highlight that SAD is comorbid with other impairing disorders and that these comorbidities, specific feared situations, and SAD symptoms are related to worse QOL in individuals with SAD.

Perinatal Posttraumatic Stress Disorder Diagnoses Among Commercially Insured People Increased, 2008-20.

Posttraumatic stress disorder (PTSD) is a burdensome disorder, affecting 3-4 percent of delivering people in the US, with higher rates seen among Black and Hispanic people. The extent of clinical diagnosis remains unknown. We describe the temporal and racial and ethnic trends in perinatal PTSD diagnoses among commercially insured people with live-birth deliveries during the period 2008-20, using administrative claims from Optum's Clinformatics Data Mart Database. Predicted probabilities from our logistic regression analysis showed a 394 percent increase in perinatal PTSD diagnoses, from 37.7 per 10,000 deliveries in 2008 to 186.3 per 10,000 deliveries in 2020. White people had the highest diagnosis rate at all time points (208.0 per 10,000 deliveries in 2020), followed by Black people, people with unknown race, Hispanic people, and Asian people (188.7, 171.9, 146.9, and 79.8 per 10,000 deliveries in 2020, respectively). The significant growth in perinatal PTSD diagnosis rates may reflect increased awareness, diagnosis, or prevalence of the disorder. However, these rates fall well below the estimated prevalence of PTSD in the perinatal population.