Examining the boundaries between ICD-11 PTSD/CPTSD and depression and anxiety symptoms: A network analysis perspective

Temporal network of experience sampling methodology identifies sleep disturbance as a central symptom in generalized anxiety disorder

BACKGROUND

A temporal network of generalized anxiety disorder (GAD) symptoms could provide valuable understanding of the occurrence and maintenance of GAD. We aim to obtain an exploratory conceptualization of temporal GAD network and identify the central symptom.

METHODS

A sample of participants (n = 115) with elevated GAD-7 scores (Generalized Anxiety Disorder 7-Item Questionnaire [GAD-7] ≥ 10) participated in an online daily diary study in which they reported their GAD symptoms based on DSM-5 diagnostic criteria (eight symptoms in total) for 50 consecutive days. We used a multilevel VAR model to obtain the temporal network.

RESULTS

In temporal network, a lot of lagged relationships exist among GAD symptoms and these lagged relationships are all positive. All symptoms have autocorrelations and there are also some interesting feedback loops in temporal network. Sleep disturbance has the highest Out-strength centrality.

CONCLUSIONS

This study indicates how GAD symptoms interact with each other and strengthen themselves over time, and particularly highlights the relationships between sleep disturbance and other GAD symptoms. Sleep disturbance may play an important role in the dynamic development and maintenance process of GAD. The present study may develop the knowledge of the theoretical model, diagnosis, prevention and intervention of GAD from a temporal symptoms network perspective.

A network analysis of ICD-11 Complex PTSD, emotional processing, and dissociative experiences in the context of psychological trauma at different developmental stages

Objective

Traumatic experiences are a significant risk factor for psychological disturbances, including disorders such as complex posttraumatic stress disorder, emotion-processing problems, and trauma-related dissociative experiences. The present investigation examined the coexistence of these symptoms using a network analysis model.

Method

This study included a sample of 406 people referred to comprehensive health centers in Tehran from September to December 2023 with psychopathological syndromes. Variables were assessed using The International Trauma Questionnaire, International Measurement of Exposure to Traumatic Event checklist, Baker Emotional Processing Questionnaire, and Dissociative Experiences. A regularized partial correlation network and Glasso algorithm, in combination with Extended Bayesian information criteria, were applied to estimate the network structure.

Results

Signs of unprocessed emotions and disturbance in self-organization symptoms were the most important symptoms in the symptom network, forming strong connections with other nodes. Thereby, these two symptoms can be regarded as the most important clinical manifestations in the symptom network following traumatic experiences. Three distinct symptom communities were identified: the community of traumatic experiences (childhood, adolescence, adulthood), the community of dissociative experiences (amnesia, depersonalization/derealization, and absorption), and the community of emotional processing (suppression, unpleasant emotional experience, Signs of unprocessed emotions, avoidance, and emotional control, posttraumatic stress disorder symptoms and disturbance in self-organization symptoms). The strongest edges observed were between childhood trauma-adolescence trauma (0.473) in the community of traumatic experiences, between amnesia and depersonalization/derealization (0.644) in the community of dissociative experiences, and between disturbance in self-organization symptoms and unprocessed emotions (0.324) in the community of emotional processing, indicating the recurrent occurrence of these symptoms.

Conclusion

In this study, disturbance in self-organization symptoms was identified as the central psychopathologic symptom in individuals experiencing traumas at different developmental stages. It seems that adolescent trauma and not childhood trauma plays a more decisive role in the symptoms that a person manifests after traumatic experiences. Also, posttraumatic stress disorder symptoms and disturbance in self-organization symptoms were recognized in the cluster of emotional processing symptoms and can have substantial roles in prioritizing therapeutic measures.

A network model of depressive and anxiety symptoms: a statistical evaluation

BACKGROUND

Although network analysis studies of psychiatric syndromes have increased in recent years, most have emphasized centrality symptoms and robust edges. Broadening the focus to include bridge symptoms within a systematic review could help to elucidate symptoms having the strongest links in network models of psychiatric syndromes. We conducted this systematic review and statistical evaluation of network analyses on depressive and anxiety symptoms to identify the most central symptoms and bridge symptoms, as well as the most robust edge indices of networks.

METHODS

A systematic literature search was performed in PubMed, PsycINFO, Web of Science, and EMBASE databases from their inception to May 25, 2022. To determine the most influential symptoms and connections, we analyzed centrality and bridge centrality rankings and aggregated the most robust symptom connections into a summary network. After determining the most central symptoms and bridge symptoms across network models, heterogeneity across studies was examined using linear logistic regression.

RESULTS

Thirty-three studies with 78,721 participants were included in this systematic review. Seventeen studies with 23 cross-sectional networks based on the Patient Health Questionnaire (PHQ) and Generalized Anxiety Disorder (GAD-7) assessments of clinical and community samples were examined using centrality scores. Twelve cross-sectional networks based on the PHQ and GAD-7 assessments were examined using bridge centrality scores. We found substantial variability between study samples and network features. 'Sad mood', 'Uncontrollable worry', and 'Worrying too much' were the most central symptoms, while 'Sad mood', 'Restlessness', and 'Motor disturbance' were the most frequent bridge centrality symptoms. In addition, the connection between 'Sleep' and 'Fatigue' was the most frequent edge for the depressive and anxiety symptoms network model.

CONCLUSION

Central symptoms, bridge symptoms and robust edges identified in this systematic review can be viewed as potential intervention targets. We also identified gaps in the literature and future directions for network analysis of comorbid depression and anxiety.

Discovery of depression-associated factors among childhood trauma victims from a large sample size: Using machine learning and network analysis

BACKGROUND

Experiences of childhood trauma (CT) would lead to serious mental problems, especially depression. Therefore, it becomes crucial to identify influential factors related to depression and explore their associations. The objectives were to 1) identify critical depression-related factors using the extreme gradient boosting (XGBoost) method from a large-scale survey data; 2) explore associations between these factors for targeted interventions and treatments.

METHODS

A large-scale epidemiological study covering 63 universities was conducted in Jilin Province, China. The XGBoost model was trained and tested to classify young adults with CT experiences who had or did not have depression (N = 27,671). The essential factors were selected by SHapley Additive exPlanations (SHAP) value. Multiple logistic regression analyses were conducted for validation. The associations between these depression-related factors were further explored using network analysis.

RESULTS

The XGBoost model selected the top 10 features associated with depression with satisfactory performance (AUC = 0.91; sensitivity = 0.88 and specificity = 0.76). These factors significantly differed between depression and non-depression groups (p < 0.001). There are strong positive associations between anxiety and obsessive-compulsive disorder (OCD), anxiety and post-traumatic stress disorder (PTSD), social anxiety disorder (SAD) and appearance anxiety, and negative associations between sleep quality and anxiety, sleep quality and PTSD among CT participants with depression.

LIMITATIONS

The cross-sectional design cannot draw causality, and biases in self-report measurements cannot be ignored.

CONCLUSIONS

XGBoost model and network analysis were useful methods for discovering and understanding depression-related factors in this epidemiological study. Moreover, these essential factors could offer insights into future interventions and treatments for depressed young adults with CT experiences.

Translation and validation of the Dari International Trauma Questionnaire (ITQ) in Afghan asylum seekers and refugees

Background: The International Trauma Questionnaire (ITQ) is a standardized and validated measure aligned with the 11th version of the International Classification of Diseases (ICD-11) diagnostic criteria to assess post-traumatic stress disorder (PTSD) and complex post-traumatic stress disorder (CPTSD). It has been translated into 25 different languages, but is yet to be translated into Dari and validated for use in the Afghan population.Objective: This study aimed (1) to translate and culturally adapt the ITQ for use in Dari; (2) to assess the construct validity and composite reliability of ICD-11 PTSD and CPTSD using the Dari ITQ; and (3) to examine the concurrent, convergent, and discriminant validity of the Dari ITQ.Method: The Dari ITQ was validated through the completion of a set of standardized measures by 305 Afghan asylum seekers and refugees in Austria. Factorial analyses and psychometric properties of the Dari ITQ were assessed using confirmatory factor analysis (CFA), bivariate correlations, and multivariate regression.Results: Asylum seekers showed significantly higher levels of ICD-11 CPTSD symptomatology and probable diagnoses of ICD-11 PTSD, Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) PTSD, anxiety, depression, and psychological distress in comparison to refugees. CFA results supported the two-factor second-order model comprised of the PTSD and disturbances in self-organization (DSO) as the best fit to the data. The psychometric adequacy of this model in the Dari ITQ was evidenced by high factor loadings and excellent internal reliability. The Dari ITQ showed satisfactory concurrent, convergent, and discriminant validity.Conclusion: The current study supports the statistical validity and cultural sensitivity of the Dari ITQ in identifying symptoms of ICD-11 PTSD and CPTSD among Afghan asylum seekers and refugees.

Mapping PTSD, depression, and anxiety: A network analysis of co-occurring symptoms in treatment-seeking first responders

First responders are at high risk for a range of co-occurring mental health conditions due to their repeated exposure to traumatic events. When first responders present for treatment, their complex presentation of symptoms including posttraumatic stress disorder (PTSD), depression, and generalized anxiety disorder (GAD) can prove challenging to differentiate for clinical purposes. Network analysis provides a means to identify the nuanced associations between the symptoms of these conditions and to identify groups of related symptoms. In this study, a treatment-seeking sample of first responders (N = 432) completed self-report measures of PTSD, depression, and GAD. Network analysis was used to identify symptom clusters within the sample. Our cross-sectional data yielded six empirically distinct communities: depression symptoms, GAD symptoms, and four communities comprising PTSD symptoms - intrusion and avoidance; irritability and aggression; negative affect; and arousal and sleep. Network associations underscore the heterogeneity of PTSD and also highlight overlapping and diverging symptoms of depression and GAD. These findings are discussed within the context of existing research on first responders, and recommendations for further study and treatment interventions are provided.

The relationship of posttraumatic stress disorder and developmental trauma disorder with childhood psychopathology: A network analysis

OBJECTIVE

Potentially traumatic experiences are a major risk factor for mental disorders in children and adolescents. Posttraumatic psychopathology includes trauma-specific disorders such as posttraumatic stress disorder (PTSD) as well as other psychiatric disorders. Developmental Trauma Disorder (DTD) has been proposed as a developmentally sensitive diagnosis. We aimed to further illuminate the co-occurrence of psychiatric conditions with DTD and PTSD.

METHOD

In a convenience sample of families of 507 children and adolescents (mean age = 12.11 years old, SD = 2.92; 48.5% female), we assessed DTD, PTSD, and screened for psychiatric disorders. We estimated network models including DTD, PTSD and ten psychiatric conditions.

RESULTS

We found that DTD and PTSD share both common and differential comorbidity features on disorder-, domain-, and symptom-level. The differential comorbidity patterns of the DTD and PTSD domains placed DTD close to both externalizing and internalizing psychopathology while PTSD was primarily linked to internalizing conditions.

CONCLUSIONS

Our study provides evidence for the complex clinical presentation of posttraumatic psychopathology over and above PTSD in children. DTD and PTSD provide useful and distinct diagnostic categories for children who are also experiencing internalizing conditions, and DTD may be especially relevant for children who are experiencing externalizing psychopathology.

Complex post-traumatic stress disorder (cPTSD) and suicide risk: A multigroup mediation analysis exploring the role of post-traumatic symptomatology on hopelessness

Complex post-traumatic stress disorder (cPTSD) is a clinical condition that features not only PTSD symptoms, but also disturbances in self-organization. Patients with cPTSD have a higher incidence of psychiatric comorbidities, including suicidality. A key construct tightly related to suicidality is hopelessness, described as a feeling of despair, with a state of mind giving low or negative expectancies regarding one's future. Since there is a paucity of studies investigating the link between cPTSD and hopelessness as a risk factor for suicidality, the aim of this study was to examine the role of post-traumatic symptomatology as the primary driver of suicidality, as measured by hopelessness. 211 patients were enrolled and divided into two groups: PTSD (143 patients) and cPTSD (78 patients). A set of standardized measures was administered to study post-traumatic symptomatology, depression, and hopelessness. The results showed that compared to PTSD, cPTSD patients experienced more severe symptoms in all clinical outcomes (p < 0.001). The mediation analysis revealed a significant positive association between post-traumatic symptomatology and hopelessness in the cPTSD group, which was not significant in the PTSD group. Among PTSD patients, depression mediated 43.37% of the impact of post-traumatic symptomatology on suicidal ideation. Our results contribute to a better understanding of complex post-traumatic symptomatology, further highlighting its role in the pathogenesis of suicidality. Hence, these findings have important clinical implications, suggesting that targeted, trauma-focused interventions might effectively prevent hopelessness and therefore suicide risk in patients with cPTSD.

Determinants of Care Pathways for C-PTSD Patients in French Psychotrauma Centers: A Qualitative Study

In 2018, the International Classification of Diseases (ICD-11) established a novel nosographic category within the stress-specific disorders known as complex post-traumatic stress disorder (C-PTSD). Characterized by distinctive clinical attributes and a limited response to conventional PTSD treatments, C-PTSD has prompted the reconsideration of care methods. Our study's purpose was to explore the intricate factors shaping the care pathways for individuals suffering from C-PTSD. We used a grounded theorization technique involving professionals across a range of specialized French psychotraumatology institutions. The resulting comprehensive theoretical model offers valuable insights into the constitution mechanisms of these pathways, helping elucidate the varying care options. Interestingly, we found that differences in clinical perspectives were determined by the care provider's viewpoint on clinical guidelines, screening tools, and treatment options, but also by structural and organizational factors. The distinctive dynamics and interrelationships identified in our research reveal potential areas of focus for incorporating C-PTSD care more effectively into specialized French trauma centers. This investigation offers a path toward improved understanding and management of C-PTSD, ultimately advancing patient outcomes.

A Systematic Review of Systems Science Approaches to Understand and Address Domestic and Gender-Based Violence

Purpose

We aimed to synthesize insights from systems science approaches applied to domestic and gender-based violence.

Methods

We conducted a systematic review of systems science studies (systems thinking, group model-building, agent-based modeling [ABM], system dynamics [SD] modeling, social network analysis [SNA], and network analysis [NA]) applied to domestic or gender-based violence, including victimization, perpetration, prevention, and community responses. We used blinded review to identify papers meeting our inclusion criteria (i.e., peer-reviewed journal article or published book chapter that described a systems science approach to domestic or gender-based violence, broadly defined) and assessed the quality and transparency of each study.

Results

Our search yielded 1,841 studies, and 74 studies met our inclusion criteria (45 SNA, 12 NA, 8 ABM, and 3 SD). Although research aims varied across study types, the included studies highlighted social network influences on risks for domestic violence, clustering of risk factors and violence experiences, and potential targets for intervention. We assessed the quality of the included studies as moderate, though only a minority adhered to best practices in model development and dissemination, including stakeholder engagement and sharing of model code.

Conclusions

Systems science approaches for the study of domestic and gender-based violence have shed light on the complex processes that characterize domestic violence and its broader context. Future research in this area should include greater dialogue between different types of systems science approaches, consideration of peer and family influences in the same models, and expanded use of best practices, including continued engagement of community stakeholders.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10896-023-00578-8.

Post-traumatic stress disorder and depressive symptoms among firefighters: a network analysis

Background

Firefighters, as first responders with a high risk of occupational exposure to traumatic events and heavy working stress, have a high prevalence of PTSD symptoms and depressive symptoms. But no previous studies analyzed the relationships and hierarchies of PTSD and depressive symptoms among firefighters. Network analysis is a novel and effective method for investigating the complex interactions of mental disorders at the symptom level and providing a new understanding of psychopathology. The current study was designed to characterize the PTSD and depressive symptoms network structure in the Chinese firefighters.

Method

The Primary Care PTSD Screen for DSM-5 (PC-PTSD-5) and the Self-Rating Depression Scale (SDS) were applied to assess PTSD and depressive symptoms, respectively. The network structure of PTSD and depressive symptoms was characterized using "expected influence (EI)" and "bridge EI" as centrality indices. The Walktrap algorithm was conducted to identify communities in the PTSD and depressive symptoms network. Finally, Network accuracy and stability were examined using the Bootstrapped test and the case-dropping procedure.

Results

A total of 1,768 firefighters were enrolled in our research. Network analysis revealed that the relationship between PTSD symptoms, "Flashback" and "Avoidance," was the strongest. "Life emptiness" was the most central symptom with the highest EI in the PTSD and depression network model. Followed by "Fatigue" and "Interest loss." Bridge symptoms connecting PTSD and depressive symptoms in our study were "Numb," "High alertness," "Sad mood," and "Compunction and blame," successively. The data-driven community detection suggested the differences in PTSD symptoms in the clustering process. The reliability of the network was approved by both stability and accuracy tests.

Conclusion

To the best of our knowledge, the current study first demonstrated the network structure of PTSD and depressive symptoms among Chinese firefighters, identifying the central and bridge symptoms. Targeting interventions to the symptoms mentioned above may effectively treat firefighters suffering from PTSD and depressive symptoms.

French cross-cultural adaptation and validation of the International Trauma Questionnaire (ITQ) in a French community sample

Aims: In 2018, the 11th version of the International Classification of Diseases (ICD-11) recognized a new diagnosis in addition to Posttraumatic Stress Disorder (PTSD), that of Complex Posttraumatic Stress Disorder (C-PTSD). A new measurement tool was developed to assess both disorders: the International Trauma Questionnaire. The objectives of this study were (a) to conduct a French translation of the tool, (b) to confirm the factorial structure of the tool, (c) to verify its convergent and divergent validity, (d) and finally to ensure its temporal stability.Method: The ITQ was translated into French using a committee approach, bringing together experts and bilingual individuals with a dual French-English culture. It was then completed by 750 people residing in France and having been exposed to potentially traumatic events, recruited from the general population. Other measures were also completed (HADS, ITEM, PCL-5, WHO-5, DERS).Results: Confirmatory factor analysis confirmed that the French version of the ITQ had the same factor structure as the original version. The scale showed satisfactory convergent and divergent validity, as well as good stability over time.Conclusion: Our study suggests that the French version of the ITQ is a good measurement tool for assessing PTSD and C-PTSD according to the ICD-11 diagnostic criteria.HIGHLIGHTS This study provides the first translation and validation of the International Trauma Questionnaire in the French population.Confirmatory factor analysis confirmed that the French version of the ITQ had the same factor structure as the original version.The French version of the ITQ showed good convergent and divergent validity, as well as good test-retest reliability.

PTSD and complex PTSD in sentenced male prisoners in the UK: prevalence, trauma antecedents, and psychiatric comorbidities

BACKGROUND

Posttraumatic stress disorder (PTSD) is highly prevalent within prison settings, yet is often unidentified and undertreated. Complex PTSD (CPTSD) has been recently formally recognised in the International Classification of Diseases 11th revision (ICD-11) diagnostic framework but has never been explored in prison settings. We aimed to establish the prevalence of ICD-11 PTSD and CPTSD in a UK prison sample using a validated instrument (the International Trauma Questionnaire). We also explored the associations of these two diagnoses with their traumatic antecedents and psychiatric comorbidities.

METHOD

Randomly selected male, sentenced prisoners in a large medium-security prison in south London (N = 221) took part in a clinical interview which assessed PTSD, CPTSD, trauma histories, and comorbid disorders. Multinomial logistic regression was performed to examine differences between those with PTSD or CPTSD, and those without symptoms.

RESULTS

A total of 7.7% (95% CI 4.5-12) of the male sentenced prisoners met diagnostic criteria for ICD-11 PTSD and 16.7% (95% CI 12.1-22.3) for CPTSD. A diagnosis of PTSD was associated with more recent traumatic exposure, comorbid generalised anxiety disorder, alcohol dependence, and Cluster B personality disorder. A diagnosis of CPTSD was associated with complex trauma exposure antecedents (developmental, interpersonal, repeated, or multiple forms), and comorbid with anxiety, depression, substance misuse, psychosis, and ADHD.

CONCLUSIONS

This study confirms that CPTSD is a very common and comorbid condition in male prisoners. There is an urgent need to develop trauma-informed care in prisons.

Prevalence and predictors of ICD-11 posttraumatic stress disorder and complex PTSD in young people

OBJECTIVE

The prevalence, construct validity, risk factors and psychopathological correlates associated with ICD-11 posttraumatic stress disorder (PTSD) and complex PTSD (CPTSD) as measured by the International Trauma Questionnaire for Children and Adolescents (ITQ-CA) were assessed in a sample of young people from Northern Ireland.

METHOD

Participants were trauma-exposed 11-19-year-olds (N = 507) who participated in the Northern Ireland Youth Wellbeing Prevalence Survey (YWS-NI, 2020). Factor mixture modelling (FMM) was used to test the latent structure of the ITQ-CA. Risk-factors and psychopathological correlates associated with latent class membership, and ICD-11diagnostic status, were also investigated.

RESULTS

More participants met the ITQ-CA criteria for CPTSD (3.4%, n = 44) than PTSD (1.5%, n = 19). A second-order FMM comprising a 'partial-PTSD class', a 'CPTSD class', a 'DSO class' and a 'low symptom endorsement class' was the best-fitting model. Younger age and cumulative trauma were risk factors for all trauma classes. Female gender and two or more violent traumas were significant predictors of the 'PTSD' and 'CPTSD' classes, while single sexual trauma was a significant predictor of the 'DSO' and 'CPTSD' classes. Two or more sexual traumas was a unique predictor of 'CPTSD class', while two or more vicarious traumas was a unique predictor of 'DSO class'. The 'CPTSD' class displayed the most notable comorbidity.

CONCLUSIONS

Findings indicate that CPTSD may be more prevalent than PTSD in children and young people. Support for the ICD-11 conceptualisation of CPTSD as representing a unique diagnostic construct was supported using FMM, with findings indicating trauma symptom class-specific risk profiles.

Examining the relationships between emotional disorder symptoms in a mixed sample of community adults and patients: A network analysis perspective

According to the literature, comorbidity rates observed on emotional disorders are linked to how the main diagnostic classification systems have traditionally defined these disorders. This paper aims to analyze the structure of symptoms evaluated with the Inventory of Depression and Anxiety Symptoms-II (IDAS-II) with network analysis. A mixed sample (n = 2021) of 1692 community adults and 329 patients was used. 14.79% (n = 299) of the sample met the diagnostic criteria for at least one DSM-5 mental disorder and 5.29% (n = 107) had diagnostic comorbidity. The sample was randomly divided into two sub-samples: estimation sample (n = 1010) and replication sample (n  = 1011). The detection of community structures was carried out on estimation sample using the walktrap algorithm. Four local inference measures were estimated: Strength, one-step Expected Influence, two-step Expected Influence, and node predictability. Exploratory graphic analysis of modularity yielded an optimal solution of two communities on estimation sample: first linked to symptoms of depression and anxiety and second grouping symptoms of bipolar disorder and obsessive – compulsive disorder. Mania, Panic, Claustrophobia, and Low Well-Being Bridge emerged as bridge symptoms, connecting the two substructures. Networks estimated on replication subsamples did not differ significantly in structure. Dysphoria, Traumatic Intrusions and Checking and Ordering were the symptoms with greatest number of connections with rest of the network. Results sheds light on specific links between emotional disorder symptoms and provides useful information for the development of transdiagnostic interventions by identifying the influential symptoms within the internalizing spectrum.

The Italian Version of the International Trauma Questionnaire: Symptom and Network Structure of Post-Traumatic Stress Disorder and Complex Post-Traumatic Stress Disorder in a Sample of Late Adolescents Exposed to a Natural Disaster

The 11th revision of the International Classification of Diseases has endorsed substantial changes in Post-Traumatic Stress Disorder (PTSD) and has introduced Complex PTSD (cPTSD). The objective of this study was to assess the symptom and network structure of PTSD and cPTSD using the International Trauma Questionnaire- Italian version (ITQ) and the prevalence of PTSD and cPTSD in a community sample of late adolescents enriched with exposure to a destructive earthquake. A 1,010 high school students participated to the study. Confirmatory Factor Analysis supports that a six first-order correlated factors was the best fitting model of ICD-11 PTSD/cPTSD. The network analysis supports a clear separation between core PTSD symptoms and disturbances in self-organization (DSO) symptoms, avoidance, and negative self-concept were the most central items. The prevalence of PTSD and cPTSD was 9.11 and 4.06%, respectively. Female participants reported higher rates of both PTSD and cPTSD. This is the first study to report on ICD-11 PTSD and cPTSD rates on an Italian adolescence community sample. Consistent with other community samples, we found higher rates of PTSD compared to cPTSD. The results confirmed the factorial validity of the ITQ. The network structure highlights the importance of negative self-concept in cPTSD and avoidance in PTSD.

Co-occurrence of severe PTSD, somatic symptoms and dissociation in a large sample of childhood trauma inpatients: a network analysis

Co-occurrence of mental disorders including severe PTSD, somatic symptoms, and dissociation in the aftermath of trauma is common and sometimes associated with poor treatment outcomes. However, the interrelationships between these conditions at symptom level are not well understood. In the present study, we aimed to explore direct connections between PTSD, somatic symptoms, and dissociation to gain a deeper insight into the pathological processes underlying their comorbidity that can inform future treatment plans. In a sample of 655 adult inpatients with a diagnosis of severe PTSD following childhood abuse (85.6% female; mean age = 47.57), we assessed symptoms of PTSD, somatization, and dissociation. We analyzed the comorbidity structure using a partial correlation network with regularization. Mostly positive associations between symptoms characterized the network structure. Muscle or joint pain was among the most central symptoms. Physiological reactivation was central in the full network and together with concentrations problems acted as bridge between symptoms of PTSD and somatic symptoms. Headaches connected somatic symptoms with others and derealization connected dissociative symptoms with others in the network. Exposure to traumatic events has a severe and detrimental effect on mental and physical health and these consequences worsen each other trans-diagnostically on a symptom level. Strong connections between physiological reactivation and pain with other symptoms could inform treatment target prioritization. We recommend a dynamic, modular approach to treatment that should combine evidence-based interventions for PTSD and comorbid conditions which is informed by symptom prominence, readiness to address these symptoms and preference.

The latent structure of ICD-11 posttraumatic stress disorder (PTSD) and complex PTSD in a general population sample from USA: A factor mixture modelling approach

The validity of ICD-11 Posttraumatic Stress Disorder (PTSD) and Complex PTSD (CPTSD), as measured by the International Trauma Questionnaire (ITQ; Cloitre et al., 2018) has been supported in many factor analytic and mixture modelling studies. There is, however, a paucity of research investigating the latent structure of the ITQ using factor mixture modelling (FMM). FMM was applied to data collected from a nationally representative sample of U.S. adults (N = 1834). FMM results demonstrated strong support for a two-factor second-order model with four qualitatively distinct latent classes: a 'PTSD class', a 'CPTSD class', a 'DSO' (Disturbances in Self-Organisation) class and a 'low symptoms class'. Sexual abuse increased likelihood of membership to the 'CPTSD' (OR = 3.22) and physical abuse decreased likelihood of membership to the 'PTSD' (OR=0.51). Trauma exposure in adulthood predicted 'PTSD' and 'CPTSD' class membership. The 'CPTSD class' was characterised by higher levels of psychopathological co-morbidities and poorer psychological wellbeing compared to all other classes. Results provide additional support for the validity of PTSD and CPTSD as measured by the ITQ.

Sexual symptoms in post-traumatic stress disorder following childhood sexual abuse: a network analysis

BACKGROUND

Even though recent research indicates that sexual symptoms are highly prevalent in post-traumatic stress disorder following childhood sexual abuse and cause severe distress, current treatments neither address them nor are they effective in reducing them. This might be due to a lack of understanding of sexual symptoms' specific role in the often complex and comorbid psychopathology of post-traumatic stress disorder following childhood abuse.

METHODS

Post-traumatic, dissociative, depressive, and sexual symptoms were assessed in 445 inpatients with post-traumatic stress disorder following childhood sexual abuse. Comorbidity structure was analyzed using a partial correlation network with regularization.

RESULTS

A total of 360 patients (81%) reported difficulties engaging in sexual activities and 102 patients (23%) reported to suffer from their sexual preferences. Difficulties engaging in sexual activities were linked to depressive and hyperarousal symptoms, whereas sexual preferences causing distress were linked to anger and dissociation. Dissociative amnesia, visual intrusions, and physical reactions to trauma reminders were of central importance for the network. Dissociative amnesia, depressed mood, lack of energy, and difficulties engaging in sexual activities were identified as bridge symptoms. Local clustering analysis indicated the non-redundancy of sexual symptoms.

CONCLUSIONS

Sexual symptoms are highly prevalent in survivors of childhood sexual abuse with post-traumatic stress disorder. Further research is needed regarding the link of difficulties engaging in sexual activities, depression, and post-traumatic stress disorder, as well as regarding the association of dissociation and sexual preferences causing distress. Sexual symptoms require consideration in the treatment of post-traumatic stress disorder following childhood sexual abuse.

Item Response Model Validation of the German ICD-11 International Trauma Questionnaire for PTSD and CPTSD

Background

In the 11th revision of the International Classification of Diseases (ICD-11) posttraumatic stress disorder (PTSD) and the complex variant (CPTSD) were newly conceptualised. The International Trauma Questionnaire (ITQ) was developed as a brief self-report measure to screen for both disorders. The English original version has been rigorously tested and presents convincing psychometric properties. The aim of the current study was to validate the German version by means of item response theory (IRT).

Method

This is a secondary analysis of a representative, trauma-exposed adult sample from the German general population (N = 500). 1- and 2-parameter logistic IRT models (i.e. examination on an item level), diagnostic rates and confirmatory factor analyses were calculated.

Results

All items showed good model fit and acceptable to good performance aligning with the items of the English original except for item C1 (Long time to calm down) which had a high endorsement rate and a low discriminatory power yielding low information gain. CPTSD diagnostic rate of 3.2% was lower than in comparable literature. Confirmatory factor analysis deemed the six first-order, two second-order factors model superior.

Conclusion

Measurement and factorial validity of the German version of the ITQ was confirmed. The German translation matches the English original in most psychometric properties and can thus be used for research and clinical practice.

Mediating role of avoidance of trauma disclosure and social disapproval in ICD-11 post-traumatic stress disorder and complex post-traumatic stress disorder: cross-sectional study in a Lithuanian clinical sample

Background

ICD-11 includes a new diagnosis of complex post-traumatic stress disorder (CPTSD), resulting predominantly from reoccurring or prolonged trauma. Previous studies showed that lack of social support is among the strongest predictors of PTSD, but social factors have been sparsely studied in the context of the ICD-11 definition of PTSD and CPTSD.

Aims

To analyse the factor structure of the International Trauma Questionnaire (ITQ) in a Lithuanian clinical sample and to evaluate the mediating role of social and interpersonal factors in the relationship between trauma exposure and ICD-11 PTSD and CPTSD.

Method

The sample comprised 280 adults from out-patient mental health centres (age, years: mean 39.48 (s.d. = 13.35); 77.5% female). Trauma-related stress symptoms were measured with the ITQ. Social disapproval was measured with the Social Acknowledgment Questionnaire (SAQ) and trauma disclosure using the Disclosure of Trauma Questionnaire (DTQ).

Results

ICD-11 PTSD and CPTSD prevalence among the participants in this study was 13.9% and 10.0% respectively. Results indicated that avoidance of trauma disclosure mediated the relationship between trauma exposure and PTSD as well as CPTSD, whereas social disapproval mediated only the relationship between trauma exposure and CPTSD.

Conclusions

The findings suggest that disclosure of traumatic experiences and support from closest friends and family members might mitigate the effects of traumatic experiences, potentially reducing the risk of developing CPTSD.

Fatalism and ICD-11 CPTSD and PTSD diagnoses: results from Nigeria, Kenya & Ghana

Background

Existing research on post-traumatic sequelae suggests a positive association between fatalism and symptoms of post-traumatic stress disorder (PTSD). However, the associations between fatalism and the new ICD-11 diagnosis of complex PTSD (CPTSD) have never been explored before.

Objective

The current study explored the association between fatalism and PTSD and CPTSD in samples from three African countries.

Methods

A total of 2,524 participants from Nigeria (n = 1018), Kenya (n = 1006), and Ghana (n = 500) completed measures of fatalism (non-judgemental fatalism, current fatalism, pessimistic fatalism, prospective fatalism) and the International Trauma Questionnaire (ITQ). A combination of a multinomial regression and path analysis was used to identify fatalism predictors of PTSD and CPTSD versus no diagnosis, and CPTSD versus PTSD, adjusted for demographic variables and trauma exposure.

Results

While PTSD was not predicted by any of the fatalism types, compared to no diagnosis, CPTSD was significantly predicted by pessimistic, non-judgemental and current fatalism, both compared to no diagnosis and PTSD.

Conclusions

The results broaden the knowledge on potential correlates of the new diagnosis of CPTSD. Addressing fatalistic beliefs by empowering people to think that they can choose their fate should be further explored as a possible target for intervention in the treatment of CPTSD.

Cross-cultural investigation of COVID-19 related acute stress: A network analysis

The outbreak of the COVID-19 pandemic has confronted humanity with an ongoing biopsychosocial stressor, imposing multifaceted challenges to individuals and societies. Particularly, the pandemic reflects an ongoing, potentially life-threatening danger to self and others, which may instigate acute stress symptoms (ASS). This study utilized a network framework to assess cross-national ASS a short time following the initial COVID-19 outbreak. Three samples of adult participants from China, Israel, and Switzerland completed a self-report assessment of acute stress symptoms. Network analyses were utilized to uncover the phenotype and dynamics of different ASS in these three countries. The ASS network analyses revealed extensive connections in all networks and reflected the structure of ASS. The centrality indexes in all networks were from the hyperarousal cluster. "Feeling jumpy" was the node with the highest strength centrality in the Israeli sample and "physiological reactivity" was the item with the highest centrality in the Swiss sample. In the Chinese sample, the item with the highest centrality was "feeling alert to danger." The findings reveal that despite some variations, the overall clinical picture of ASS in response to the COVID-19 pandemic is universal. These findings highlight the centrality of hyperarousal symptoms, presumably reflecting its significance for clinical interventions.

Differences between ICD-11 PTSD and complex PTSD on DSM-5 section III personality traits

Background: The formulations of post-traumatic stress disorder (PTSD) and the newly included disorder complex PTSD (CPTSD) in the 11th edition of the International Classification of Diseases (ICD-11) have not been evaluated on a broad range of maladaptive personality traits. Objective: The aim of this study was to evaluate ICD-11 PTSD and CPTSD on maladaptive personality traits. Method: In a cross-sectional study of 106 Danish outpatients with ICD-10 PTSD, we used the International Trauma Questionnaire (ITQ) to identify patients with either ICD-11 PTSD or CPTSD (N = 84). We utilized the Personality Inventory for DSM-5 (PID-5) from the alternative model of personality disorders in DSM-5, section III, to evaluate personality trait differences between ICD-11 PTSD and CPTSD. Furthermore, PID-5 was also used to investigate relationships between personality traits and ICD-11 PTSD/CPTSD symptom clusters. The Life Event Checklist was used to assess traumatic experiences, and the MINI International Neuropsychiatric Interview was applied to assess comorbidity. Results: Patients with ICD-11 PTSD or CPTSD had elevated scores on personality traits indicative of internalizing psychopathology. However, higher impairment levels of the trait domains Negative Affectivity (d= 0.75) and Psychoticism (d = 0.80) discriminated patients with ICD-11 CPTSD from patients with PTSD. The PID-5 trait domain Detachment was moderately positively correlated to most of the ITQ symptom clusters and, the ITQ Negative Self-concept symptom cluster showed a relatively high number of significant correlations across all the PID-5 trait domains and facets. The PID-5 domain Negative Affectivity and almost all the encompassing facets were significantly correlated with DSO symptom clusters. Conclusions: The findings demonstrate the relevance of applying dimensional assessment of personality features to study the psychopathology of ICD-11 PTSD and CPTSD and potential differences. The results suggest that CPTSD is a more debilitating disorder than PTSD considering the severity of the personality features.

A systematic literature review of factor analytic and mixture models of ICD-11 PTSD and CPTSD using the International Trauma Questionnaire

The 11th version of the International Classification of Diseases (ICD-11; WHO, 2018) describes two distinct trauma related disorders, Posttraumatic Stress Disorder (PTSD) and Complex PTSD (CPTSD). This review aims to summarise and synthesize evidence from factor analytic and mixture modelling studies that have investigated the latent structure of the International Trauma Questionnaire. A systematic search of PsycInfo, Web of Science, Scopus and Pubmed databases was conducted to identify relevant articles. Thirty-three studies met the inclusion criteria for this systematic review. The latent structure of the ITQ was best represented by two models; a correlated six-factor model (Re-experiencing, Avoidance, Threat, Affect Dysregulation, Negative Self Concept, and Disturbed Relationships) and a two-factor second-order model (PTSD and Disturbances in Self-Organization). Mixture model studies consistently identified distinct classes representing those displaying PTSD and CPTSD symptoms. Numerous studies demonstrated support for the factorial and discriminant validity of PTSD and CPTSD when analysed in conjunction with other variables. Overall, support was found for the conceptual coherence of PTSD and CPTSD as empirically distinguishable disorders, as measured by the ITQ. The available evidence demonstrates that the ITQ is a valid measure of ICD-11 PTSD and CPTSD. Recommendations for future research are included.

Psychiatric comorbidity of developmental trauma disorder and posttraumatic Stress disorder: findings from the DTD field trial replication (DTDFT-R)

Background: Developmental Trauma Disorder (DTD) has extensive comorbidity with internalizing and externalizing disorders distinct from posttraumatic stress disorder (PTSD). Objective: To replicate findings of DTD comorbidity and to determine whether this comorbidity is distinct from, and extends beyond, comorbidities of PTSD. Method: DTD was assessed by structured interview, and probable DSM-IV psychiatric disorders were identified with KSADS-PL screening modules, in a multi-site sample of 271 children (ages 8-18 years old; 47% female) in outpatient or residential mental health treatment for multiple (M = 3.5 [SD = 2.4]) psychiatric diagnoses other than PTSD or DTD. Results: DTD (N = 74, 27%) and PTSD (N = 107, 39%) were highly comorbid and shared several DSM-IV internalizing and externalizing disorder comorbidities. Children with DTD with or without PTSD had more comorbid diagnoses (M = 5.7 and 5.2 [SD = 2.4 and 1.7], respectively) than children with PTSD but not DTD (M = 3.8[SD = 2.1]) or neither PTSD nor DTD (M = 2.1[SD = 1.9]), F[3,267] = 55.49, p < .001. Further, on a multivariate basis controlling for demographics and including all potential comorbid disorders, DTD was associated with separation anxiety disorder, depression, and oppositional defiant disorder after controlling for PTSD, while PTSD was associated only with separation anxiety disorder after controlling for DTD. Both DTD and PTSD were associated with suicidality. Conclusions: DTD is associated with psychiatric comorbidity beyond that of PTSD, and DTD warrants assessment for treatment planning with children in intensive psychiatric services.

Evidence of distinct profiles of ICD-11 post-traumatic stress disorder (PTSD) and complex PTSD in a South African sample

Background: Both post-traumatic stress disorder (PTSD) and complex post-traumatic stress disorder (CPTSD) have been included in the 11th edition of the International Classification of Diseases (ICD-11). Although the validity of CPTSD has been controversial, a growing number of studies support the distinction between PTSD and CPTSD. However, the majority of this research has originated in high-income countries (HICs), whereas the prevalence of trauma experience associated with PTSD/CPTSD diagnosis is significantly higher in low- and middle-income countries (LMICs). Objective: This study assessed whether a sample from an LMIC setting produced distinct classes that reflect ICD-11 criteria for PTSD and CPTSD. Furthermore, this study investigated whether childhood trauma distinguished between PTSD and CPTSD. Method: International Trauma Questionnaire responses from a sample of South African university undergraduates were used as indicator variables in a latent class analysis (LCA). Chi-squared tests of independence and Kruskal-Wallis H tests were used to assess between-class differences. Results: The LCA identified four distinct classes: a PTSD class with elevated symptoms of PTSD, but low endorsement of disturbances in self-organization (DSO; symptoms that are specific to CPTSD); a CPTSD class with elevated symptoms of PTSD and DSO; a DSO class with low symptoms of PTSD, but elevated symptoms of DSO; and a Low class with low endorsements on all symptoms. Regarding childhood trauma, participants in the CPTSD class had more severe childhood abuse and neglect, specifically emotional abuse and neglect, than participants in the PTSD class. Conclusions: Findings were consistent with the distinction between PTSD and CPTSD symptom profiles in the ICD-11. Our findings support a similar qualitative distinction between PTSD and CPTSD in our LMIC context, as previously reported in HICs. This distinction is especially relevant in LMICs because of the significant number of individuals vulnerable to these disorders.

ICD-11 posttraumatic stress disorder (PTSD) and complex PTSD among organized violence survivors in modern South Korean history of political oppression

BACKGROUND AND OBJECTIVES

Construct and discriminant validity of the ICD-11 posttraumatic stress disorder (PTSD) and complex PTSD (CPTSD) has been examined worldwide. However, little is known about CPTSD in Korean population who are suffering with long-term responses of organized violence in their context.

DESIGN

This study conducted a cross-sectional survey to assess the construct and discriminant validity of the ICD-11 PTSD and CPTSD using the Korean International Trauma Questionnaire (ITQ) among organized violence survivors of past political oppression (from 1940s to 2010s) in South Korea.

METHOD

A total of 236 survivors and families completed the survey including the ITQ. A confirmatory factor analysis and a multinomial logistic regression were conducted.

RESULTS

A second-order eight-factor, the ICD-11 CPTSD model, best described the structure of CPTSD. Compared to the non-diagnosed group, having above median score of cumulative trauma was a risk factor for PTSD [Odds ratio (OR) = 3.18] and CPTSD (OR = 3.27). Having above median score of cumulative social stressors increased the risk of CPTSD, relative to PTSD (OR = 4.84), and to the non-diagnosed group (OR = 7.79).

CONCLUSIONS

The ITQ seemed applicable to the Korean culture, showing a valid construct and meaningfully distinguishing ICD-11 PTSD and CPTSD.

Evidence for the coherence and integrity of the complex PTSD (CPTSD) diagnosis: response to Achterhof et al., (2019) and Ford (2020)

This letter to the editor responds to a recent EJPT editorial and following commentary which express concerns about the validity of the ICD-11 complex PTSD (CPTSD) diagnosis. Achterhof and colleagues caution that latent profile analyses and latent class analyses, which have been frequently used to demonstrate the discriminative validity of the ICD-11 PTSD and CPTSD constructs, have limitations and cannot be relied on to definitively determine the validity of the diagnosis. Ford takes a broader perspective and introduces the concept of 'cPTSD' which describes a wide ranging set of symptoms identified from studies related to DSM-IV, DSM-V and ICD-11 and proposes that the validity of the ICD-11 CPTSD is in question as it does not address the multiple symptoms identified from previous trauma-related disorders. We argue that ICD-11 CPTSD is a theory-driven, empirically supported construct that has internal consistency and conceptual coherence and that it need not explain nor resolve the inconsistencies of past formulations to demonstrate its validity. We do agree with Ford and with Achterhof and colleagues that no one single statistical process can definitively answer the question of whether CPTSD is a valid construct. We reference several studies utilizing many different statistical approaches implemented across several countries, the overwhelming majority of which have supported the validity of ICD-11 as a unique construct. We conclude with our own cautions about ICD-11 CPTSD research to date and identify important next steps.

New findings questioning the construct validity of complex posttraumatic stress disorder (cPTSD): let's take a closer look

This commentary provides a broader context for interpreting evidence from Latent Class and Latent Profile analyses on complex posttraumatic stress disorder (CPTSD) that was provided in a recent contribution to the European Journal of Psychotraumatology. These data analytic strategies are not alone sufficient to test the construct validity of CPTSD. They base their conclusion on the empirical finding of substantial variation in latent models obtained with different analytic procedures and interpretations of the fit of different latent models, as well as interesting additional evidence of dispersion when individual patients' symptom counts and symptom severity scores on PTSD and CPTSD are examined. However, the results of their analyses actually do provide support for one feature of construct validity, demonstrating discriminant validity by showing a consistent differentiation between PTSD and CPTSD (with expectable variation in both PTSD and CPTSD severity level by persons). Even in a sample of patients diagnosed with PTSD, there may be a Disorders of Self Organization (DSO) sub-group with low PTSD symptom severity. More detailed examination of which DSO symptoms and sub-domains characterize the DSO sub-group and the CPTSD sub-group is needed in order to clarify the nature of the DSO/CPTSD construct. Other analyses needed to fully test construct validity also are described.