Structure Of Posttraumatic Stress Disorder Research Articles

Factor structure of posttraumatic stress disorder (PTSD) in persons with serious mental illness

Background Trauma and posttraumatic stress disorder (PTSD) are common among individuals with serious mental illness (SMI; e.g., schizophrenia, schizoaffective disorder, bipolar disorder, treatment refractory major depressive disorder), with resultant functional impairment. Previous studies have not evaluated the factor structure of the PTSD Checklist (PCL) among persons with SMI. Aims This study evaluated the factor structure of the PCL in two large SMI samples from public mental health treatment sectors screened for PTSD using the PCL. Methods Four different models of PTSD were tested using confirmatory factor analyses. Results Results indicated that the DSM-5 4-factor model (intrusion, avoidance, numbing, and hyperarousal) had the best fit. Further, the DSM-5 4-factor model demonstrated measurement invariance. Conclusions Results supported the suitability of the DSM-5 4-factor model of PTSD among people with SMI.

An examination of the potential core symptoms of posttraumatic stress disorder: What is integral after removing general psychopathology & distress?

Many confirmatory factor analyses (CFA) have examined the structure of posttraumatic stress disorder (PTSD) with some suggesting increased complexity (i.e., 6+ factors), while others suggesting a more refined structure (i.e., 2-factors). These competing PTSD structures may be due to conflation of non-trauma specific symptoms that have been added overtime. However, none of these studies examined if all symptoms being examined are specific to PTSD or potentially more related to general distress and psychopathology. The current study re-evaluated the structure of PTSD using bifactor exploratory factor analysis (EFA) to identify the construct's core symptoms. Data for EFA models were taken from a sample of Veterans (N = 694) attending outpatient therapy for PTSD and were cross-validated using CFA in a sample of 297 Veterans attending residential treatment. Clinician Administered PTSD Scale for DSM-5 (CAPS-5) at pre-treatment was used across sample. Factor analyses resulted in a 2-factor, bifactor model comprised of eight total items. Model fit was robust, RMSEA = 0 [0.000, 0.036]; robust CFI = 1; robust TLI = 1.017. The bifactor analytic approach captured what might be the core structure of PTSD, which were pathognomonic symptoms of PTSD (Factor one). A distinct second factor related to depression was also found. In identifying this structure, the model eliminates redundancies and lesser performing items and differentiates depressive reactions as potentially distinct and separate. Overall, these findings may assist in future research of PTSD by determining the unique elements of the construct within a veteran sample versus associated features, general psychological distress, and comorbid psychopathology.

Symptom structure of posttraumatic stress disorder in workplace trauma: A "distraction-avoidance" pattern.

Individuals who experience a workplace trauma are at a high risk of developing posttraumatic stress disorder (PTSD). Most of these people return to work soon after the trauma (i.e., experience early-stage natural exposure). This study aims to explore the response pattern of workers who have experienced a workplace trauma and early-stage natural exposure through network analysis and provide insights into the potential impact of early-stage natural exposure. Our study included 278 workers directly experiencing the workplace explosion in the Tianjin Economic and Technological Development Zone. A partial correlation network analysis was used to explore the PTSD symptoms relationship and identify central symptoms. The results suggest that emotional numbness, difficulty in concentration, re-experiencing symptoms, and avoidance of thoughts are the most central symptoms, reflecting a "distraction-avoidance" pattern. The current study found that workers who experienced workplace trauma exhibited a "distraction-avoidance" pattern, which helps deepen our understanding of the PTSD network and leads to some suggestions on intervention measures.

Evaluating a novel 8-factor dimensional model of PTSD in U.S. military veterans: Results from the National Health and Resilience in Veterans Study

BackgroundAccumulating data suggest that the structure of posttraumatic stress disorder (PTSD) symptoms may be more nuanced than proposed by prevailing nosological models. Emerging theory further suggests that an 8-factor model with separate internally- (e.g., flashbacks) and externally- (e.g., trauma cue-related emotional reactivity) generated intrusive symptoms may best represent PTSD symptoms. To date, however, scarce research has evaluated the fit of this model and whether index traumas are differentially associated with it in populations at high risk for trauma exposure, such as military veterans. MethodsData were analyzed from a nationally representative sample of 3847 trauma-exposed U.S. veterans who participated in the National Health and Resilience in Veterans Study. Confirmatory factor analyses were conducted to evaluate the fit of a novel 8-factor model of PTSD symptoms relative to 4-factor DSM-5 and empirically-supported 7-factor hybrid models. ResultsThe 8-factor model fit the data significantly better than the 7-factor hybrid and 4-factor DSM-5 models. Combat exposure and harming others were more strongly associated with internally-generated intrusions, while interpersonal violence and disaster/accident showed stronger significant associations with externally-generated intrusions. LimitationsThe 8-factor model requires validation in non-veteran and more diverse trauma-exposed populations, as well as with clinician-administered interviews. ConclusionsResults of this study provide support for a novel 8-factor model of PTSD symptoms that is characterized by separate internally- and externally-generated intrusions. They also suggest that certain index traumas may lead to differential expression of these symptoms.

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.

The nosographic structure of posttraumatic stress symptoms across trauma types: An exploratory network analysis approach.

The nosographic structure of posttraumatic stress disorder (PTSD) remains unclear, and attempts to determine its symptomatic organization have been unsatisfactory. Several explanations have been suggested, and the impact of trauma type is receiving increasing attention. As little is known about the differential impact trauma type in the nosographic structure of PTSD, we explored the nosology of PTSD and the effect of trauma type on its symptomatic organization. We reanalyzed five cross-sectional psychopathological networks involving different trauma types, encompassing a broad range of traumatic events in veterans, war-related trauma in veterans, sexual abuse, terrorist attacks, and various traumatic events in refugees. The weighted topological overlap was used to estimate the networks and attribute weights to their links. Coexpression differential network analysis was used to identify the common and specific network structures of the connections across different trauma types and to determine the importance of symptoms across the networks. We found a set of symptoms with more common connections with other symptoms, suggesting that these might constitute the prototypical nosographic structure of PTSD. We also found a set of symptoms that had a high number of specific connections with other symptoms; these connections varied according to trauma type. The importance of symptoms across the common and specific networks was ascertained. The present findings offer new insights into the symptomatic organization of PTSD and support previous research on the impact of trauma type on the nosology of this disorder.

The modular structure of posttraumatic stress disorder in adolescents

The modular structure of posttraumatic stress disorder in adolescents

The symptom network structure of posttraumatic stress disorder among Chinese firefighters.

The purpose of this study was to explore the core and driving symptoms of posttraumatic stress disorder (PTSD) of firefighters before and after rescue. Identifying core symptoms of PTSD can help clinicians to understand what may be relevant targets for treatment. The study recruited 334 firefighters in a firefighter military school in September 2017 (T1). They were followed up 3 months later (T2), during which time they participated in real rescue activities. The network structure of DSM-5 PTSD was using regularized partial correlation models and a Bayesian approach computing directed acyclic graphs. The most central symptom both in T1 and T2 was negative emotional state. Irritable or anger emerged as a key driver of other symptoms in traumatized firefighters. Negative emotional state and irritable or anger might represent important symptoms within PTSD symptomatology and may offer key targets in PTSD treatment for firefighters.

Cognitive-Behavioral Therapy in the Treatment of Recurrent Isolated Sleep Paralysis

In Russia, approximately every fifth person has experienced a state of sleep paralysis, which can be Isolated Sleep Paralysis or in the structure of post-traumatic stress disorder (for example, the loss of a significant person, a serious illness of a child), a large episode of depression and a reaction of grief (for example, in the process of separation) [1,2].

Symptom structure of posttraumatic stress disorder after parental bereavement – a network analysis of Chinese parents who have lost their only child

BackgroundThe death of a child is a highly traumatic event and often leads to mental health problems, including posttraumatic stress disorder (PTSD). Previous studies have focused on overall PTSD after the loss of an only child; however, little attention has been given to PTSD at the symptom level. This study aims to identify the network structure of PTSD symptoms in bereaved parents who have lost their only child, known as Shidu parents in Chinese society. MethodsA cross-sectional study enrolled 385 bereaved individuals who had lost an only child across 10 cities in China from November 2016 to July 2017. PTSD symptoms were measured by the PTSD Checklist for DSM-5 (PCL-5). Network analysis was implemented by using the R packages qgraph and bootnet. ResultsThe PTSD network revealed that diminished interest, exaggerated startle, irritability/anger, and nightmares were the most central symptoms. The strongest connections emerged between the symptoms of recurrent thoughts and nightmares, irritability/anger and reckless/self-destructive behavior, and hypervigilance and exaggerated startle. LimitationsWe utilized cross-sectional data, and it is therefore not possible to infer the evolution of the symptom network over time. In addition, participants were limited to parents who had lost an only child, and the findings of this study must be interpreted with caution. ConclusionsThe current study provides further clarity regarding how PTSD symptoms relate to each other in bereaved parents who have lost an only child. Symptoms with high centrality and connectedness may be viable targets for intervention in bereaved parents who have lost an only child.

The symptom structure of posttraumatic stress disorder and co-morbid depression among college students with childhood abuse experience: A network analysis

BackgroundPosttraumatic stress disorder (PTSD) and depression are highly co-morbid among individuals with childhood abuse history, while the mechanism of the co-morbidity is highly debated. This study sought to extent the work among college students with network analysis, which is a novel method that sees the co-morbidity from a symptom interacting perspective. MethodsData was collected from 476 college students who were assessed to have childhood abuse history, PTSD and depression at the same time, using Childhood Trauma Questionnaire- Short Form, PTSD Checklist for DSM-5 and The Center for Epidemiological Studies Depression. We created a Graphical Gaussian Model (GGM) network to show associations between symptom pairs and a Directed Acyclic Graph (DAG) to estimate potential casual relationships among symptoms. ResultsThe GGM network was reliably stable, feeling sad (Depression) and trouble experiencing positive feelings (PTSD) were the most central nodes. Trouble experiencing positive feelings and several negative affect symptoms, sleep problems and difficulty in concentrating were acting as important bridging nodes. The DAG network suggested the key triggering roles of exaggerated startle (PTSD) and several re-experiencing symptoms. LimitationsThe study used cross-sectional data and self-reported measures. Results from network analysis could be affected by scale factors and contain spurious correlations. ConclusionsIn the childhood-abuse-related co-morbid structure, several negative affect symptoms both in PTSD and depression have pivotal roles, hyper-arousal symptoms and re-experiencing symptoms could trigger the co-morbid structure. Illustrating the strength and limitations of network analysis, this study help target the potentially influential symptoms for better clinical intervention.

Order effects in PTSD network analysis: important implications for diagnostic conceptualization, treatment refinement, and research.

For decades confirmatory factor analysis (CFA) has been the preeminent method to study the underlying structure of posttraumatic stress disorder (PTSD); however, methodological limitations of CFA have led to the emergence of other analytic approaches. In particular, network analysis has become a gold standard to investigate the structure and relationships between PTSD symptoms. A key methodological limitation, however, which has significant clinical implications, is the lack of data on the potential impact of item order effects on the conclusions reached through network analyses. The current study, involving a large sample (N = 5055) of active duty army soldiers following deployment to Iraq, assessed the vulnerability of network analyses and prevalence rate to item order effects. This was done by comparing symptom networks of the DSM-IV PTSD checklist items to these same items distributed in random order. Half of the participants rated their symptoms on traditionally ordered items and half the participants rated the same items, but in random order and interspersed between items from other validated scales. Differences in prevalence rate and network composition were examined. The prevalence rate differed between the ordered and random item samples. Network analyses using the ordered survey closely replicated the conclusions reached in the existing network analyses literature. However, in the random item survey, network composition differed considerably. Order effects appear to have a significant impact on conclusions reached from PTSD network analysis. Prevalence rates were also impacted by order effects. These findings have important diagnostic and clinical treatment implications.

The Child PTSD Symptom Scale: Psychometric Properties among Earthquake Survivors.

Evidence for a single underlying factor structure of posttraumatic stress disorder (PTSD) in children remains elusive. We assessed the underlying factor structure of the Child PTSD Symptom Scale through exploratory (EFA) and confirmatory factor analyses (CFA) in 570 survivors of the 2015 Gorkha earthquake in Nepal. The EFA suggests that the three-factor DSM-IV model fit these data best. The CFA suggests that while the DSM-IV model adequately fit these data, the four-factor King model fit them better. There was no evidence of differential item functioning by age or gender, and internal consistency of the scale was high. PTSD (overall or by factor) was not correlated with functional impairment. Inconsistent psychometric results across contexts and methodologies suggest that our current theoretical conceptualizations and empirical models of posttraumatic stress are lacking. Future studies must both document the instrument properties to assure internal validity and cross-study comparisons and, bolstered by increased psychometric data and analyses, rework theoretical models of PTSD with improved cross-cultural validity.

Humanitarian Aid Workers: The Forgotten First Responders.

Humanitarian aid workers are an overlooked population within the structure of posttraumatic stress disorder (PTSD) research and assistance. This negligence is an industry-wide failure to address aid workers' psychological health issues. The suspected numbers of death by suicide, diagnosed PTSD, depression, anxiety disorders, hazardous alcohol and drug consumption, emotional exhaustion, and other stress-related problems are impossible to quantify but are considered endemic. Tools for establishing organizational frameworks for mental health and psychosocial support are readily available. However, the capacity to implement this assistance requires the creation and practice of an open and non-judgmental culture, based on the realistic acceptance that aid work has become inherently dangerous. The possibility of developing a psychological problem because of aid work has increased along with the rise in levels of disease, injury, kidnapping, and assault. As a result, expressions of traumatic stress have become the norm rather than an exception. This commentary outlines the essential steps and components necessary to meet these requirements.

The network structure of posttraumatic stress disorder among Filipina migrant domestic workers: comorbidity with depression

ABSTRACT Background Labour migrants are exposed to potentially traumatic events throughout the migration cycle, making them susceptible to developing mental disorders. Posttraumatic stress disorder (PTSD) is often comorbid with depression. Comorbidity worsens the course of illness, prognosis, treatment response, and increases suicidal risk. Using network analysis, this study examined the structure of PTSD and depression in a sample of migrant domestic workers, an especially vulnerable community of labour migrants. This study sought to derive the central or most important symptoms, strongest edges or relationships among symptoms, and bridge symptoms between PTSD and depression. Methods Data were obtained from 1,375 Filipina domestic workers in Macao SAR, China. Data from a subsample of 1,258 trauma-exposed participants were analysed using R software. Results Most of the strongest edges were within the same disorder and, for PTSD, within the same symptom cluster. Highest node centrality were PCL-5’s ‘avoid thoughts’, ‘lose interest’, ‘negative emotions’, and ‘not concentrate’, and PHQ-9’s ‘sleep difficulties’. The bridge symptoms were PHQ-9’s ‘sleep difficulties,’ ‘psychomotor agitation/retardation,’ and ‘fatigue,’ PCL-5’s ‘not concentrate’, and PHQ-9’s ‘worthlessness’ and ‘anhedonia’. Limitations Results may not generalize to Filipino migrant workers in other occupations and to male migrant workers. Potentially relevant symptoms like somatic symptoms and fear of somatic and mental symptoms were not included. Conclusions Central and bridge symptoms are the most important nodes in the network. Developing interventions targeting these symptoms, particularly depression symptoms, is a promising alternative to PTSD treatment given substantial barriers to specialist care for this population.

Factor structure of posttraumatic stress disorder (PTSD) in Australian Vietnam Veterans: Confirmatory factor analysis of the Clinician-Administered PTSD Scale for DSM–5

Introduction: The Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM–5) brought a change to the symptom clusters of posttraumatic stress disorder (PTSD). In line with the DSM–5 changes, an updated version of the Clinician-Administered PTSD Scale (CAPS–5) was released. The CAPS–5 is considered to be the gold-standard measure of PTSD; however, examinations of the psychometric properties and optimal factor structure of this scale are underrepresented in PTSD studies. Methods: This study used confirmatory factor analysis (CFA) to assess the factor structure of the CAPS–5 using a sample of 267 male Australian Vietnam Veterans. Models drawn from the PTSD CFA literature were used to test the underlying dimensions of PTSD: the four-factor DSM–5 model, six-factor externalizing behaviour and anhedonia models, and seven-factor hybrid model. Results: The results found that the DSM–5 model showed slightly less than adequate fit (comparative fit index [CFI] = 0.90, Tucker–Lewis index [TLI] = 0.88, root mean square error of approximation [RMSEA] = 0.064), however, other models showed acceptable fit. The anhedonia model provided a significantly better fit than the other models (CFI = 0.92, TLI = 0.90, RMSEA = 0.059). Discussion: Overall, the results supported the anhedonia model. This result may indicate that the underlying dimensions of PTSD in Australian Vietnam Veterans may best be represented by six distinct factors.

Investigating the latent dimensions of posttraumatic stress disorder and the role of anxiety sensitivity in combat-exposed Filipino soldiers

ABSTRACTIdentifying the optimal factor structure of posttraumatic stress disorder (PTSD) has recently been reinvigorated in literature due to the substantial changes to its diagnostic criteria in the fifth revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Currently, six models of PTSD are supported in literature, but there is no consensus on the best-fitting factor structure. Additionally, the extant literature examining the relationship between PTSD symptom-grouping and AS in the latent level has been scarce. The present study’s objectives are two-fold: first, we aimed to identify the best-fitted model of PTSD by comparing the six empirically-supported models, and; second, we examined the relationship between the best-fitting model with anxiety sensitivity (AS). Utilizing a sample of 476 combat-exposed soldiers, the results suggest that both the anhedonia and hybrid models provide the best fit to the data, with the anhedonia model achieving slightly better fit indices. Further, the examination on the influence of AS to PTSD reveal that while there is a pattern of decreasing factor loadings and factor correlations when accounting for AS, the changes are not significant to alter the PTSD symptom-structure. Based on these results, our findings suggest further investigation on the possible mediating or moderating mechanisms by which AS may influence PTSD.

Factor structure of posttraumatic stress disorder (PTSD) in Australian Vietnam Veterans: confirmatory factor analysis of the Clinician-Administered PTSD Scale for DSM–5

Introduction: The Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM–5) brought a change to the symptom clusters of posttraumatic stress disorder (PTSD). In line with the DSM–5 changes, an updated version of the Clinician-Administered PTSD Scale (CAPS–5) was released. The CAPS–5 is considered to be the gold-standard measure of PTSD; however, examinations of the psychometric properties and optimal factor structure of this scale are underrepresented in PTSD studies. Methods: This study used confirmatory factor analysis (CFA) to assess the factor structure of the CAPS–5 using a sample of 267 male Australian Vietnam Veterans. Models drawn from the PTSD CFA literature were used to test the underlying dimensions of PTSD: the four-factor DSM–5 model, six-factor externalizing behaviour and anhedonia models, and seven-factor hybrid model. Results: The results found that the DSM–5 model showed slightly less than adequate fit (comparative fit index [CFI] = 0.90, Tucker–Lewis index [TLI] = 0.88, root mean square error of approximation [RMSEA] = 0.064), however, other models showed acceptable fit. The anhedonia model provided a significantly better fit than the other models (CFI = 0.92, TLI = 0.90, RMSEA = 0.059). Discussion: Overall, the results supported the anhedonia model. This result may indicate that the underlying dimensions of PTSD in Australian Vietnam Veterans may best be represented by six distinct factors.

Using Exploratory Structural Equation Modeling (ESEM) to Examine the Internal Structure of Posttraumatic Stress Disorder Symptoms.

Several studies have reported the factor structure of posttraumatic stress disorder (PTSD) using confirmatory factor analysis (CFA). The results show models with different number of factors, high correlations between factors, and symptoms that belong to different factors in different models without affecting the fit index. These elements could suppose the existence of considerable item cross-loading, the overlap of different factors or even the presence of a general factor that explains the items common source of variance. The aim is to provide new evidence regarding the factor structure of PTSD using CFA and exploratory structural equation modeling (ESEM). In a sample of 1,372 undergraduate students, we tested six different models using CFA and two models using ESEM and ESEM bifactor analysis. Trauma event and past-month PTSD symptoms were assessed with Life Events Checklist for DSM-5 (LEC-5) and PTSD Checklist for DSM-5 (PCL-5). All six tested CFA models showed good fit indexes (RMSEA = .051-.056, CFI = .969-.977, TLI = .965-.970), with high correlations between factors (M = .77, SD = .09 to M = .80, SD = .09). The ESEM models showed good fit indexes (RMSEA = .027-.036, CFI = .991-.996, TLI = .985-.992). These models confirmed the presence of cross-loadings on several items as well as loads on a general factor that explained 76.3% of the common variance. The results showed that most of the items do not meet the assumption of dimensional exclusivity, showing the need to expand the analysis strategies to study the symptomatic organization of PTSD.

Testing the Factor Structure of the International Trauma Questionnaire (ITQ) in African Community Samples from Kenya, Ghana, and Nigeria

The aim of this study was to test the factorial structure of Posttraumatic Stress Disorder (PTSD) and Complex PTSD (CPTSD) as outlined in the 11th revision of the International Classification of Diseases (ICD-11) in three African community samples using the International Trauma Questionnaire (ITQ). Four models were tested using confirmatory factor analysis based on a total sample of 2,524 participants, and the two-factor second-order model, representing PTSD and Disturbances in Self-organization (DSO), was the best fitting model. The factors were validated using demographic and trauma-related variables, supporting the use of the ITQ for English-speaking participants in these African countries.