Posttraumatic Stress Disorder Symptoms and Reckless Behaviors: A Network Analysis Approach

Comorbidity of problematic substance use and other addictive behaviors and anxiety, depression, and post-traumatic stress disorder: a network analysis

BACKGROUND

Among those with common mental health disorders (e.g. mood, anxiety, and stress disorders), comorbidity of substance and other addictive disorders is prevalent. To simplify the seemingly complex relationships underlying such comorbidity, methods that include multiple measures to distill which specific addictions are uniquely associated with specific mental health disorders rather than due to the co-occurrence of other related addictions or mental health disorders can be used.

METHODS

In a general population sample of Jewish adults in Israel (N = 4002), network analysis methods were used to create partial correlation networks of continuous measures of problematic substance (non-medical use of alcohol, tobacco, cannabis, and prescription sedatives, stimulants, and opioid painkillers) and behavioral (gambling, electronic gaming, sexual behavior, pornography, internet, social media, and smartphone) addictions and common mental health problems (depression, anxiety, and post-traumatic stress disorder [PTSD]), adjusted for all variables in the model.

RESULTS

Strongest associations were observed within these clusters: (1) PTSD, anxiety, and depression; (2) problematic substance use and gambling; (3) technology-based addictive behaviors; and (4) problematic sexual behavior and pornography. In terms of comorbidity, the strongest unique associations were observed for PTSD and problematic technology-based behaviors (social media, smartphone), and sedatives and stimulants use; depression and problematic technology-based behaviors (gaming, internet) and sedatives and cannabis use; and anxiety and problematic smartphone use.

CONCLUSIONS

Network analysis isolated unique relationships underlying the observed comorbidity between common mental health problems and addictions, such as associations between mental health problems and technology-based behaviors, which is informative for more focused interventions.

An information-theoretic approach to build hypergraphs in psychometrics

Psychological network approaches propose to see symptoms or questionnaire items as interconnected nodes, with links between them reflecting pairwise statistical dependencies evaluated on cross-sectional, time-series, or panel data. These networks constitute an established methodology to visualise and conceptualise the interactions and relative importance of nodes/indicators, providing an important complement to other approaches such as factor analysis. However, limiting the representation to pairwise relationships can neglect potentially critical information shared by groups of three or more variables (higher-order statistical interdependencies). To overcome this important limitation, here we propose an information-theoretic framework to assess these interdependencies and consequently to use hypergraphs as representations in psychometrics. As edges in hypergraphs are capable of encompassing several nodes together, this extension can thus provide a richer account on the interactions that may exist among sets of psychological variables. Our results show how psychometric hypergraphs can highlight meaningful redundant and synergistic interactions on either simulated or state-of-the-art, re-analysed psychometric datasets. Overall, our framework extends current network approaches while leading to new ways of assessing the data that differ at their core from other methods, enriching the psychometrics toolbox, and opening promising avenues for future investigation.

Daily-level associations between posttraumatic stress disorder symptoms and reactions to retrieving positive autobiographical memories

Trauma survivors with posttraumatic stress disorder (PTSD) report difficulties accessing and describing positive memories. To understand these patterns, we examined daily-level relations of PTSD symptoms with affective, cognitive (dwelling/rumination; pushing memory out of one's mind; suppression; avoidance; distraction; thinking about something else; remembering negative or positive memories/events; negative or positive thoughts; accepting or disapproving memory; reinterpreting memory), and behavioral (using alcohol/drugs; smoking cigarettes; cravings for or seeking out cigarettes/alcohol/drugs; craving, seeking out, or consuming large amounts of food; dissociation; engaging in risky behaviors; sharing memories; interference with ongoing task; arousal) reactions to retrieving positive memories. Eighty-eight trauma survivors (Mage= 39.89 years; 59.1% female) completed 7 daily measures of PTSD and reactions to retrieving positive memories. Days with more PTSD severity were associated with higher odds of same-day suppression, avoidance, distraction, thinking about something else, smoking cigarettes, craving substances, craving, seeking out, or consuming large amounts of food, dissociation, remembering negative memories/events/thoughts, engaging in risky behaviors, interference with ongoing tasks, and arousal (ORs=1.10-1.22); and greater negative affect (β = 0.27). Supplemental lagged analyses indicated some associations between previous-day reactions to positive memory retrieval and next-day PTSD severity and vice versa. Trauma survivors with PTSD symptoms report negative and avoidance-oriented reactions to retrieving positive memories.

Longitudinal Association Between Posttraumatic Stress Symptoms and Depression Symptoms Among Chinese Adolescents During COVID-19: Evidence from Network Perspective

Although there are an increasing number of studies that have explored the mental health consequences of COVID-19 focusing on revealing risk factors, the longitudinal research examining the potential mechanism of the co-occurrence of posttraumatic stress symptoms (PTSS) and depression symptoms among adolescents were scarce. The present study identified the important comorbidity symptoms and explored longitudinal relationship of PTSS and depression symptoms from the network perspective. A two-wave investigation (4 months interval; T1 and T2) was conducted with a sample of 1225 Chinese adolescents. Cross-sectional network and cross-lagged panel network (CLPN) analyses were adopted. Results showed that comorbidity symptoms consisted of both overlapping and non-overlapping symptoms, including "Future foreshortening" at T1 and T2 from PTSS, and "Hard to get started" at T1 and "Not sleep well" at T2 from depression symptoms. Strong longitudinal pathways appeared from all PTSS to depression symptoms, among which the pathway from "Difficulty concentrating" to "Hard to get started" was the strongest. These findings suggest that the possible comorbidity between PTSS and depression symptoms is caused by their independent and related structures, and their longitudinal association. Clinical intervention for these symptoms may alleviate adolescents' psychological problems in the aftermath of traumatic events.

The association between posttraumatic disorder symptoms and addictive behaviours in Macao within a sample of female Filipino migrant workers: a network analysis

Background: Filipino migrant workers in Macao are vulnerable to posttraumatic stress disorder (PTSD) symptoms and addictive behaviours due to trauma histories, postmigration stressors, and access to alcohol and gambling venues. While PTSD addiction comorbidity is well-established in the existing literature, such research among migrant workers is lacking.Objective: The current study investigated differential relations between PTSD symptoms and addictive behaviours in a polytrauma exposed sample of Filipino domestic workers in Macao (SAR), China.Methods: Data were collected from 1375 Filipino migrant workers; data from a subsample of 1200 participants who reported an index traumatic event and PTSD symptoms were used in the analyses. Participants responded to the PTSD Checklist for DSM-5, gambling disorder symptoms checklist from DSM-5, and The Alcohol Use Disorders Identification Test. We estimated a regularized partial correlation network structure of PTSD symptoms and addictive behaviours employing graphical LASSO and extended Bayesian information criterion.Results: PTSD symptoms of arousal and negative emotions had bridge connections with gambling disorder symptoms; while PTSD symptoms of arousal, restricted affect, negative emotions, and emotional reactivity had bridge connections with alcohol misuse.Conclusions: PTSD's arousal and negative emotion symptoms were common in the networks of PTSD and addictive behaviours, while PTSD's restricted affect and emotional reactivity symptoms were unique to the network of PTSD and alcohol misuse. Treatment of the comorbidity of PTSD and addictive behaviours may yield optimal effects when tailored to these symptoms.

Comorbidity of posttraumatic stress disorder and depression among adolescents following an earthquake: A longitudinal study based on network analysis

BACKGROUND

High comorbidity between posttraumatic stress disorder (PTSD) and depression among adolescents often follows severe traumatic events. Models on the pathway to comorbidity dispute greatly and how PTSD and depression get comorbidity, remain unclear.

METHODS

A follow-up investigation was conducted of 424 adolescent survivors of the Jiuzhaigou earthquake at 12 months (T1) and 27 months (T2).

RESULTS

Contemporaneous network analysis and cross-lagged panel network analysis showed that PTSD and depression are two separate disorders with strong associations via links between dysphoric symptoms of PTSD and somatic or non-somatic symptoms of depression. However, the association weakened from T1 to T2, and internal connections between symptoms within each disorder became stronger.

LIMITATION

We only measured the comorbidity of PTSD and depression at two time points following the earthquake, which may limit the long-term applicability of our findings following trauma.

CONCLUSIONS

The findings also showed that the centrality in contemporaneous networks may indicate node connectivity rather than the influence or potential causality among nodes. These results help to elucidate the relationship between PTSD and depression and could contribute to the development of appropriate therapies.

The structure of eating disorder and somatic symptoms

Individuals with eating disorders (EDs) often present with somatic concerns in treatment, such as bloating, fullness, and feeling tight clothes on skin. However, most research generally focuses on general interoception (e.g., heartbeat) rather than sensations relevant to EDs (e.g., sensations related to the gastrointestinal system or body movement). In the current study (N = 181), we used network analysis to model the structure of ED symptoms and somatic concerns among individuals with anorexia nervosa, bulimia nervosa, and other specified feeding and eating disorder. Results showed that heightened sensitivity to somatic concerns had the highest strength centrality within a symptom network comprising ED and somatic symptoms. Exploratory graph analysis identified four symptom dimensions: cognitive-affective ED symptoms, behavioral ED symptoms, general interoception, and ED-specific proprioception. Findings suggest that heightened sensitivity to somatic concerns may maintain ED symptoms and mutually reinforce other somatic concerns. Implications concerning assessment and treatment of EDs are discussed.

Acute stress and PTSD among trauma-exposed children and adolescents: Computational prediction and interpretation

BACKGROUND

Youth receiving medical care for injury are at risk of PTSD. Therefore, accurate prediction of chronic PTSD at an early stage is needed. Machine learning (ML) offers a promising approach to precise prediction and interpretation.

AIMS

The study proposes a clinically useful predictive model for PTSD 6-12 months after injury, analyzing the relationship among predictors, and between predictors and outcomes.

METHODS

A ML approach was utilized to train models based on 1167 children and adolescents of nine perspective studies. Demographics, trauma characteristics and acute traumatic stress (ASD) symptoms were used as initial predictors. PTSD diagnosis at six months was derived using DSM-IV PTSD diagnostic criteria. Models were validated on external datasets. Shapley value and partial dependency plot (PDP) were applied to interpret the final model.

RESULTS

A random forest model with 13 predictors (age, ethnicity, trauma type, intrusive memories, nightmares, reliving, distress, dissociation, cognitive avoidance, sleep, irritability, hypervigilance and startle) yielded F-scores of.973,0.902 and.961 with training and two external datasets. Shapley values were calculated for individual and grouped predictors. A cumulative effect for intrusion symptoms was observed. PDP showed a non-linear relationship between age and PTSD, and between ASD symptom severity and PTSD. A 43 % difference in the risk between non-minority and minority ethnic groups was detected.

CONCLUSIONS

A ML model demonstrated excellent classification performance and good potential for clinical utility, using a few easily obtainable variables. Model interpretation gave a comprehensive quantitative analysis on the operations among predictors, in particular ASD symptoms.

Six-year changes of posttraumatic stress symptoms and depressive symptoms among Chinese earthquake survivors: A network analysis

BACKGROUND

The risk factors of Posttraumatic Stress Symptoms (PTSS) and depressive symptoms have been well-established, but whether the network structure of their symptoms changes over time remains unclear. This study aims to examine the six-year changes of network structure of PTSS and depressive symptoms among Wenchuan earthquake adult survivors in China.

METHODS

In this pooled cross-sectional study, respondents were sampled from the same population at each of the five waves (N = 1343, 1205, 1177, 1376, and 1339). The network structure of them was investigated using network analyses.

RESULTS

The study shows network connections stable across waves were the positive connections between hyperarousal and intrusions, hyperarousal and somatic symptoms, and two dimensions of positive effects. Stable negative connections were those between depressed affects and positive effects, avoidance and depressed affects, avoidance with interpersonal symptoms and avoidance with somatic symptoms. Across waves, fearful emotion consistently was the strongest bridge symptom connecting with PTSS symptoms. However, for PTSS the strongest bridge symptom varied across time as it was avoidance in wave 1 but were hyperarousal in other four waves.

LIMITATIONS

This study was based on a pooled cross-sectional survey, which inhibits conclusions regarding causal influences between symptoms at the individual patient level.

CONCLUSIONS

The network structure of PTSS and depressive symptoms was partly stable, yet also varied across survey waves. Core symptom clusters for PTSS and depressive symptoms were avoidance and depressed affect, respectively. The central role of these clusters in PTSS and depressive symptoms has important implications to future psychiatric programs.

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.

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

BACKGROUND

The 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.

METHODS

A 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.

RESULTS

The 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.

LIMITATIONS

We 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.

CONCLUSIONS

The 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.

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.

A network analysis investigation of the comorbidity between sleep dysfunction and PTSD symptomatology among Filipino domestic workers in Macao (SAR) China

Posttraumatic stress disorder (PTSD) is highly comorbid with sleep dysfunction. This association was previously explained based on cognitive and emotional dysfunction. The current study extends this literature by investigating the symptom level comorbidity of sleep dysfunction and DSM-5 PTSD utilizing a network approach. Participants were trauma-exposed female Filipino domestic workers (N = 1241). Network analysis was applied to 23 items: 18 items from PCL-5 measuring PTSD (Community 1) and 5 items from PSQI assessing sleep dysfunction (Community 2). The results showed that the symptoms within each community had the strongest correlations. Bridge connections were identified between the sleep dysfunction and PTSD symptom communities. Symptoms with the highest bridge strength were concentration difficulties, recklessness, irritability, and sleep disturbance. This is among the first studies investigating the comorbidity between PTSD and sleep dysfunction from the network approach. Future interventions may be developed that emphasize the bridge symptoms to address comorbidity among trauma exposed migrants.

A psychometric investigation on the diagnostic utility of the posttrauma risky behaviors questionnaire

The Posttrauma Risky Behaviors Questionnaire (PRBQ) is a screening measure for posttrauma reckless and self-destructive behaviors (RSDBs). We examined (1) PRBQ's predictive relations with clinical (vs. not) endorsements of distinct RSDBs, and (2) PRBQ's optimal cutoff score yielding the most appropriate balance of sensitivity and specificity statistics. The sample included 354 adult trauma-exposed community participants (Mage=35.76 years; 57.90% female). Logistic regression analyses indicated that the PRBQ significantly differentiated individuals endorsing (vs. not) clinical levels of alcohol/drug misuse, disordered eating, problematic gambling, and compulsive buying. Receiver operating characteristic (ROC) curve analyses indicated that the 14-item PRBQ total score had moderate accuracy in differentiating individuals endorsing clinical vs. non-clinical levels of drug misuse, disordered eating, problematic gambling, compulsive buying, and engagement in RSDBs (PTSD's E2 Criterion); and low accuracy for alcohol misuse. ROC curve analyses indicated 3.5-6.5 as the optimal range of PRBQ cutoff scores. Thus, the PRBQ has good ability to discriminate participants endorsing (vs. not) clinical levels of alcohol/drug misuse, disordered eating, problematic gambling, and compulsive buying (lowest accuracy in identifying participants with clinical levels of alcohol misuse), and a minimum cutoff score between 3.5 and 6.5 may suggest using additional diagnostic assessments and clinical interventions.

Do positive memory characteristics relate to reckless behaviours? an exploratory study in a treatment-seeking traumatised sample

Reckless and self-destructive behaviours (RSDBs), common among traumatised individuals, are associated with negative health consequences. Gaining a stronger understanding of factors associated with an increased likelihood of RSDBs among traumatised individuals offers potential new avenues for research and treatment. Mounting evidence indicates relations between traumatic experiences and deficits/disturbances in characteristics of positive memories; however, relations between RSDBs and positive memory characteristics has been understudied. Using hierarchical multiple regression, we examined relations between positive memory characteristics (Memory Experiences Questionnaire-Short Form; MEQ-SF) and RSDBs, controlling for PTSD and depression severity, among a sample of treatment-seeking trauma-exposed individuals (N = 77; Mage = 33.96; 57.10% female). Results indicated that MEQ-SF subscales of Accessibility, Coherence, Emotional Intensity, and Sensory Details were significantly associated with engagement in RSDBs, above and beyond PTSD and depressive severity. Those who easily accessed emotionally evocative positive memories tended to engage in elevated RSDBs; those with less coherence and fewer sensory details in their positive memories were also more likely to engage in RSDBs. Theories related to emotion dysregulation and cognitive deficits may explain these obtained relations.

Commentary on the Special Issue on Network Analysis: Assessment, Intervention, Theory, and the Nature of Reality: Actualizing the Potential of Network Perspectives on Posttraumatic Stress Disorder

This commentary on the Journal of Traumatic Stress special issue on network analysis explores the network perspective on posttraumatic stress disorder (PTSD), emphasizing the advances in research made in this collection of articles. The commentary is organized around the following themes related to actualizing the perspective's methodological, assessment, and intervention potential and the potential shift in the theoretical underpinnings of mental disorders that networks models imply. First, extant data using network analysis suggest that reactions to traumatic stress are more complicated than once thought but that this complexity does not mean efficient, relatively simple heuristics to aid assessment and intervention do not exist. Attention to methodological issues in symptom assessment may help move this aspect of the research forward. Second, the extant research is largely correlational and has not yet established causal linkages, although temporal associations underlying network models are being identified. Prospective and intervention studies employing network analysis are critical. Third, the network perspective of PTSD symptoms may advance research on the mechanisms of risk and resilience (e.g., neurodevelopmental, cognitive behavioral, emotional, and social models) by helping link symptoms to theoretical causal processes. A developmental framework that views the effect of traumatic stress in terms of temporal cascades of reactions with both negative and potentially positive cognitive, behavioral, social, and emotional outcomes fits the network analysis model. Fourth, network models call into question some of the fundamental assumptions underlying the conceptualization of mental disorders, leaving several ontological questions and implications currently unanswered; research examining the implications of the new assumptions is needed.

Introduction to the Special Issue: Network Analysis of Traumatic Stress

Network analysis has emerged as a promising new statistical methodology for traumatic stress studies. The present special issue of the Journal of Traumatic Stress amalgamates the reports of 10 studies that employed network analysis to further the field's understanding of traumatic stress. The current issue includes reports of network analyses that sought to better understand the impact of different kinds of traumatic events, including childhood and gender-based trauma exposure, on PTSD symptomatology as defined under the DSM-5 and ICD-11, and examined the relation between PTSD symptoms and trauma-related dissociative experiences as well as the impact of psychological treatment on trauma recovery. A variety of research designs from a diverse group of international samples were employed, including concurrent, longitudinal, experience-sampling, and treatment outcome studies. Finally, a commentary on the articles included in this special issue was provided by Dr. Carl Weems.