Structure Of Posttraumatic Stress Symptoms Research Articles

Prevalence and network structure of post-traumatic stress symptoms and their association with suicidality among Chinese mental health professionals immediately following the end of China’s Dynamic Zero-COVID Policy: a national survey

Studies on post-traumatic stress symptoms (PTSS) among mental health professionals (MHPs) are limited, particularly since restrictions due to coronavirus disease (COVID-19) have been lifted such as the recent termination of China’s Dynamic Zero-COVID Policy. The current study filled this gap by exploring the prevalence, correlates, and network structure of PTSS as well as its association with suicidality from a network analysis perspective. A cross-sectional, national survey was conducted using a convenience sampling method on MHPs between January 22 and February 10, 2023. PTSS were assessed using the Post-Traumatic Stress Disorder Checklist-Civilian version, while suicidality was assessed using standardized questions related to ideation, plans, and attempts. Univariate and multivariate analyses examined correlates of PTSS. Network analysis explored the structure of PTSS and suicidality. The centrality index of “Expected influence” was used to identify the most central symptoms in the network, reflecting the relative importance of each node in the network. The “flow” function was adopted to identify specific symptoms that were directly associated with suicidality. A total of 10,647 MHPs were included. The overall rates of PTSS and suicidality were 6.7% (n = 715; 95% CI = 6.2–7.2%) and 7.7% (n = 821; 95% CI = 7.2–8.2%), respectively. Being married (OR = 1.523; P < 0.001), quarantine experience (OR = 1.288; P < 0.001), suicidality (OR = 3.750; P < 0.001) and more severe depressive symptoms (OR = 1.229; P < 0.001) were correlates of more PTSS. Additionally, higher economic status (e.g., good vs. poor: OR = 0.324; P = 0.001) and health status (e.g., good vs. poor: OR = 0.456; P < 0.001) were correlates of reduced PTSS. PCL6 (“Avoiding thoughts”; EI = 1.189), PCL7 (“Avoiding reminders”; EI = 1.157), and PCL11 (“Feeling emotionally numb”; EI = 1.074) had the highest centrality, while PCL12 (“Negative belief”), PCL 16 (“Hypervigilance”) and PCL 14 (“Irritability”) had the strongest direct, positive associations with suicidality. A high prevalence of lingering PTSS was found among MHPs immediately after China’s “Dynamic Zero-COVID Policy” was terminated. Avoidance and hyper-arousal symptoms should be monitored among at-risk MHPs after the COVID-19 pandemic and serve as potential targets for the prevention and treatment of PTSS in this population.

Clinical and psychological implications of post-traumatic stress in firefighters: a moderated network study

ABSTRACT Firefighters are frequently exposed to trauma and may experience a unique symptom presentation of post-traumatic stress. Prior research has identified stronger associations between certain post-traumatic stress symptoms (e.g. detachment, intrusions, physiological reactivity) using network analysis. However, little is known about the effects of symptom severity and emergency work-related trauma on symptom networks. The present study probed the network structure of post-traumatic stress symptoms in trauma-exposed firefighters (N = 871) to model the dynamic interactions of psychological symptoms. We developed a network of post-traumatic stress symptoms and a network of post-traumatic stress with clinical covariates and used moderated network modelling to assess the effects of having PTSD and experiencing work-related trauma on the networks. We identified high edge correlations between several nodes (e.g. startle/hypervigilance, internal/external cue avoidance, detachment/lack of interest) and high centrality of detachment, external cue avoidance, and flashbacks. Additionally, having PTSD moderated positive network associations between risk-taking and suicidality and between distorted blame and post-traumatic cognitions. Work-related trauma moderated negative associations between appetite gain and loss and appetite loss and suicidality. Findings suggest that targeting specific symptoms of detachment, external cue avoidance, and flashbacks could allow for the development of effective trauma-informed interventions for these populations.

The network structure of posttraumatic stress symptoms in war-affected children and adolescents.

It is unclear whether findings from previous network analyses of posttraumatic stress disorder (PTSD) symptoms among children and adolescents are generalizable to youth living in war-torn settings and whether there are differences in the structure and connectivity of symptoms between children and adolescents. This study examined the network structure of PTSD symptoms in a sample of war-affected youth and compared the symptom networks of children and adolescents. The overall sample comprised 2007 youth (6-18years old) living in Burundi, Democratic Republic of Congo, Iraq, Palestine, Tanzania, and Uganda amid or close to war and armed conflict. Youth reported their PTSD symptoms using a self-report questionnaire in Palestine and structured clinical interviews in all other countries. We computed the networks of the overall sample and of two sub-samples of 412 children (6-12years) and 473 adolescents (13-18years) and compared the structure and global connectivity of symptoms among children and adolescents. In both the overall sample and the sub-samples, re-experiencing and avoidance symptoms were most strongly connected. The adolescents' network had a higher global connectivity of symptoms than the children's network. Hyperarousal symptoms and intrusions were more strongly connected among adolescents compared to children. The findings lend support to a universal concept of PTSD among youth characterized by core deficits in fear processing and emotion regulation. However, different symptoms may be particularly important in different developmental stages, with avoidance and dissociative symptoms dominating in childhood and intrusions and hypervigilance gaining importance in adolescence. Stronger symptom connections may render adolescents more vulnerable to the persistence of symptoms.

Screening Tool for Mental Health Problems During COVID-19 Pandemic: Psychometrics and Associations With Sex, Grieving, Contagion, and Seeking Psychological Care.

BackgroundThe COVID-19 pandemic has created a public mental health crisis. Brief, valid electronic tools are required to evaluate mental health status, identify specific risk factors, and offer treatment when needed.ObjectiveTo determine the construct validity, reliability, and measurement invariance of a brief screening tool for mental health symptoms by sex, loss of loved ones, personal COVID-19 status, and psychological care-seeking during the COVID-19 pandemic. Furthermore, the aim involved establishing a predictive pattern between the mental health variables.MethodA total sample of 27,320 Mexican participants, with a mean age of 32 years (SD = 12.24, range = 18–80), 67% women (n = 18,308), 23.10% with a loss of loved ones (n = 6,308), 18.3% with COVID-19 status (n = 5,005), and 18.40% seeking psychological care (n = 5,026), completed a questionnaire through a WebApp, containing socio-demographic data (sex, loss of loved ones, COVID-19 status, and psychological care-seeking) and the dimensions from the Posttraumatic Checklist, Depression-Generalized Anxiety Questionnaires, and Health Anxiety-Somatization scales. We used the confirmatory factor analysis (CFA: through maximum likelihood to continuous variable data, as an estimation method), the invariance measurement, and the structural equational modeling (SEM) to provide evidence of the construct validity of the scale and the valid path between variables. We analyzed the measurement invariance for each dimension by comparison groups to examine the extent to which the items showed comparable psychometric properties.FindingsThe tool included eight dimensions: four posttraumatic stress symptoms -intrusion, avoidance, hyperactivation, and numbing, as well as depression, generalized anxiety, health anxiety, and somatization The tool’s multidimensionality, was confirmed through the CFA and SEM. The participants’ characteristics made it possible to describe the measurement invariance of scales because of the participants’ attributes. Additionally, our findings indicated that women reported high generalized anxiety, hyperactivation, and depression. Those who lost loved ones reported elevated levels of intrusion and health anxiety symptoms. Participants who reported having COVID-19 presented with high levels of generalized anxiety symptoms. Those who sought psychological care reported high levels of generalized anxiety, intrusion, hyperactivation, and health anxiety symptoms. Our findings also show that intrusion was predicted by the avoidance dimension, while health anxiety was predicted by the intrusion dimension. Generalized anxiety was predicted by the health anxiety and hyperactivation dimensions, and hyperactivation was predicted by the depression one. Depression and somatization were predicted by the health anxiety dimension. Last, numbing was predicted by the depression and avoidance dimensions.Discussion and OutlookOur findings indicate that it was possible to validate the factor structure of posttraumatic stress symptoms and their relationship with depression, anxiety, and somatization, describing the specific bias as a function of sociodemographic COVID-19-related variables. We also describe the predictive pattern between the mental health variables. These mental health problems were identified in the community and primary health care scenarios through the CFA and the SEM, considering the PCL, depression, generalized anxiety, health anxiety, and somatization scales adapted during the COVID-19 pandemic. Therefore, future studies should describe the diagnosis of mental health disorders, assessing the cut-off points in the tool to discriminate between the presence and absence of conditions and mental health cut-off points. Community and primary care screening will lead to effective early interventions to reduce the mental health risks associated with the current pandemic.LimitationsFuture studies should follow up on the results of this study and assess consistency with diagnoses of mental health disorders and evaluate the effect of remote psychological help. Moreover, in the future, researchers should monitor the process and the time that has elapsed between the occurrence of traumatic events and the development of posttraumatic stress and other mental health risks through brief electronic measurement tools such as those used in this study.

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 Network Structure of Posttraumatic Stress Symptoms in Children and Adolescents Exposed to Disasters

To evaluate current theoretical assumptions about the nature of pediatric posttraumatic stress disorder (PTSD) by examining the network structure of PTSD in a sample of youth exposed to disasters and testing for age differences. Network analysis provides the opportunity to identify "central" symptoms that might hold an outsized influence over others and are important targets for research and treatment. The authors hypothesized that particular symptoms would exhibit greater influence over others. They further hypothesized marked differences in symptom networks across children and adolescents. Participants were 786 youth 8 to 13 years old (children) and 14 to 18 years old (adolescents) exposed to Hurricanes Katrina and Gustav who were assessed for PTSD symptoms using the University of California-Los Angeles PTSD Reaction Index for Children. Network models were computed and constructed using the R-package qgraph, which estimates associations between symptoms and forms graphic network models. Consistent with the hypotheses, the symptom network demonstrated meaningful variability across age, particularly in the strength of associations, and the relative importance of individual symptoms to the network as a whole. Results further demonstrated that symptoms cluster together in a manner that adds a unique perspective to current model conceptualizations. Network analysis is a potentially important additional conceptualization of psychopathology with related data analytic techniques. Results suggest that PTSD can be characterized as a web of interactions between symptoms. This work illuminates differences in the PTSD symptom network across development, such as the link between numbness of negative affect and amnesia in children, but not in teens, and how the critical symptoms within that network differ across childhood and adolescence. Network analysis could allow the re-envisioning of the nature of this complex disorder with new avenues for research and clinical practice.

The Factor Structure of Traumatic Stress in Parents of Children With Cancer: A Longitudinal Analysis*

Objectives To determine the factor structure of posttraumatic stress symptoms (PTSS) and assess its stability over time among parents of children diagnosed with cancer. Methods Parents of children with cancer included in a longitudinal study completed the posttraumatic stress disorder (PTSD) Checklist–Civilian Version 2 weeks (n = 249) and 2 (n = 234) and 4 (n = 203) months after their child's diagnosis. Confirmatory factor analysis (CFA) was used to assess 3 models of the underlying dimensions of PTSD and invariance tests were used to assess stability over time. Results A longitudinal CFA with the factors reexperiencing, avoidance, dysphoria, and hyperarousal provided best fit to the data. Invariance testing suggested that the pattern and size of loadings were equivalent across the three assessments. Discussions Findings tentatively suggest that PTSS among parents of children with cancer consist of four factors. Implications for research and clinical practice are discussed.

Confirmatory factor analysis of posttraumatic stress symptoms assessed by the Impact of Event Scale-Revised in Chinese earthquake victims: Examining factor structure and its stability across sex

The current study investigated the factor structure of posttraumatic stress symptoms assessed by the Impact Event Scale-Revised (IES-R) in a large sample of individuals from China who recently experienced a destructive earthquake. The results of the confirmatory factor analysis indicated that a four-factor structure (intrusion, avoidance-numbing, hyperarousal, and sleep disturbance) emerged as the model best fit in total sample, female and male subsamples, respectively. Moreover, multiple-group confirmatory factor analysis further demonstrated that the four-factor model was quite stable across sex. Implication and limitations for the results are discussed.

The structure of post-traumatic stress symptoms in young survivors of war

Research on the dimensionality of post-traumatic stress disorder (PTSD) has generally failed to provide support for the three clusters of PTSD suggested in the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV). However, much research has been restricted to samples in North America and Western European countries. The aim of the current study was to test four alternative factor models among a relatively understudied population–young civilian survivors of war who had experienced war-related events as adolescents–in order to establish whether the factor structure of PTSD is consistent among various traumatized populations and age groups. Using the Posttraumatic Stress Diagnostic Scale, the results indicated that the four-factor model including intrusion, avoidance, hyperarousal, and numbing factors provided a better fit than the three-factor model suggested by the DSM-IV. The current study offers additional support from another population for a four-factor model of PTSD that implies a separation of avoidance and numbing items. Case conceptualization and treatment implications are discussed.

The structure of post-traumatic stress symptoms in survivors of war: Confirmatory factor analyses of the Impact of Event Scale—Revised

The study aimed at establishing the factor structure of the Impact of Event Scale—Revised (IES-R) in survivors of war. A total sample of 4167 participants with potentially traumatic experiences during the war in Ex-Yugoslavia was split into three samples: two independent samples of people who stayed in the area of conflict and one sample of refugees to Western European countries. Alternative models with three, four, and five factors of post-traumatic symptoms were tested in one sample. The other samples were used for cross-validation. Results indicated that the model of best fit had five factors, i.e., intrusion, avoidance, hyperarousal, numbing, and sleep disturbance. Model superiority was cross-validated in the two other samples. These findings suggest a five-factor model of post-traumatic stress symptoms in war survivors with numbing and sleep disturbance as separate factors in addition to intrusion, avoidance and hyperarousal.

Confirmatory factor analysis of posttraumatic stress symptoms in emergency personnel: An examination of seven alternative models

Recent studies into the underlying factor structure of posttraumatic stress symptoms often report factor structures that do not replicate the three symptom cluster of re-experiencing, avoidance and arousal symptoms as classified within the Diagnostic and Statistical Manual of Mental disorders (American Psychiatric Association, 1994, 2000). Data from 485 emergency service personnel who had experienced an occupational trauma were submitted to confirmatory factor analysis to test seven alternative factor models of posttraumatic stress symptoms. This study is one of the most comprehensive structural analyses of posttrauma symptoms to date. The model of best fit comprised four first-order factors including intrusion, avoidance, numbing and arousal alongside a general PTSD factor. This study highlighted the difference between the current DSM symptom groupings and those derived empirically.

Confirmatory factor analysis of posttraumatic stress symptoms in sexually harassed women

Posttraumatic stress disorder (PTSD) factor analytic research to date has not provided a clear consensus on the structure of posttraumatic stress symptoms. Seven hypothesized factor structures were evaluated using confirmatory factor analysis of the Posttraumatic Stress Disorder Checklist, a paper-and-pencil measure of posttraumatic stress symptom severity, in a sample of 1,218 women who experienced a broad range of workplace sexual harassment. The model specifying correlated re-experiencing, effortful avoidance, emotional numbing, and hyperarousal factors provided the best fit to the data. Virtually no support was obtained for the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV; American Psychiatric Association, 1994) three-factor model of re-experiencing, avoidance, and hyperarousal factors. Different patterns of correlations with external variables were found for the avoidance and emotional numbing factors, providing further validation of the supported model.

A confirmatory factor analysis of posttraumatic stress symptoms

Investigators have recently identified a two-factor structure underlying posttraumatic stress symptoms through the use of exploratory factor analysis [ Taylor et al. (1998). The structure of posttraumatic stress symptoms. Journal of Abnormal Psychology, 107, 154–160]. These two factors, which were labeled as Intrusion and Avoidance, and Hyperarousal and Numbing, are consistent with current theoretical models of posttraumatic stress disorder – PTSD [e.g. Foa et al. (1992). Uncontrollability and unpredictability in post-traumatic stress disorder: An animal model. Psychological Bulletin, 112, 218–238]. However, the authors of the Taylor et al. study issued caution in interpreting their findings because there has yet to be a systematic replication of their results. This paper presents a confirmatory factor analysis of the two-factor structure of posttraumatic stress symptoms in 217 survivors of serious motor vehicle accidents with varying degrees of PTSD symptoms. A hierarchical, confirmatory-factor analysis conducted with a structural equation modeling statistics package confirmed that the model proposed by Taylor et al. can adequately account for the presentation of PTSD symptoms in this sample of motor vehicle accident survivors. The implications for the assessment and diagnosis of PTSD are discussed.

The structure of posttraumatic stress symptoms.

The structure of posttraumatic stress symptoms.

The structure of posttraumatic stress symptoms.

Posttraumatic stress disorder, as defined by the Diagnostic and Statistical Manual of Mental Disorders (3rd ed., rev. and 4th ed.; American Psychiatric Association, 1987, 1994, respectively), is characterized by 17 symptoms, descriptively clustered into 3 groups: (a) intrusions, (b) hyperarousal, and (c) avoidance and numbing. The present study sought to identify the basic dimensions (factors) that underlie these symptoms. Two samples were assessed: 103 victims of motor vehicle accidents and 419 United Nations peacekeepers deployed in Bosnia. A principal axis factor analysis was conducted for each sample. In each sample, 2 correlated factors were obtained, which were very similar across samples. Factor 1 was labeled Intrusions and Avoidance, and Factor 2 represented Hyperarousal and Numbing. These factors loaded on a single higher order factor. The higher order factor accounted for 13% to 38% of variance in symptom severity, and the lower order factors accounted for an additional 8% to 9% of variance. If the authors assume that each factor corresponds to a distinct mechanism (R. B. Cattell, 1978), then the results suggest that posttraumatic stress reactions arise from a general mechanism, with contributions from 2 specific mechanisms.