Network Analysis of PTSD Symptoms in a Sample of Polyvictimized Youth

2021 ◽  
pp. 1-15
Author(s):  
Zoe Bridges-Curry ◽  
Caroline Christian ◽  
Cheri A. Levinson
Keyword(s):  
Network Analysis ◽  
Ptsd Symptoms

scholarly journals Investigating centrality in PTSD symptoms across diagnostic systems using network analysis*

2021 ◽  
Vol 12 (sup1) ◽  
pp. 1866412
Author(s):  
Maj Hansen ◽  
Cherie Armour ◽  
Emily McGlinchey ◽  
Jana Ross ◽  
Sophie Lykkegaard Ravn ◽  
...  
Keyword(s):  
Network Analysis ◽  
Ptsd Symptoms ◽  
Diagnostic Systems

Examining unique and prospective relationships among self-injurious thoughts and behaviors and posttraumatic stress disorder: a network analysis in two trauma-exposed samples

2020 ◽  
pp. 1-11
Author(s):  
Elizabeth G. Spitzer ◽  
Natasha Benfer ◽  
Kelly L. Zuromski ◽  
Brian P. Marx ◽  
Tracy K. Witte
Keyword(s):  
Posttraumatic Stress Disorder ◽  
Network Analysis ◽  
Posttraumatic Stress ◽  
Stress Disorder ◽  
Risky Behaviors ◽  
Ptsd Symptoms ◽  
Cross Sectional ◽  
Negative Beliefs ◽  
Two Samples ◽  
And Behaviors

Abstract Background As self-injurious thoughts and behaviors (SITB) remain a pressing public health concern, research continues to focus on risk factors, such as posttraumatic stress disorder (PTSD). Network analysis provides a novel approach to examining the PTSD-SITB relationship. This study utilized the network approach to elucidate how individual PTSD symptoms may drive and maintain SITB. Methods We estimated cross-sectional networks in two samples of trauma-exposed adults (Sample 1: N = 349 adults; Sample 2: N = 1307 Veterans) to identify PTSD symptoms that may act as bridges to SITB. Additionally, we conducted a cross-lagged panel network in Sample 2 to further clarify the temporal relationship between PTSD symptoms and SITB during a 2-year follow-up. Finally, in both samples, we conducted logistic regressions to examine the utility of PTSD symptoms in prospectively predicting SITB, over a 15-day period (Sample 1) and over a 2-year period (Sample 2), allowing us to examine both short- and long-term prediction. Results Two PTSD symptoms (i.e. negative beliefs and risky behaviors) emerged as highly influential on SITB in both cross-sectional networks. In the cross-lagged panel network, distorted blame emerged as highly influential on SITB over time. Finally, risky behaviors, unwanted memories, and psychological distress served as the strongest predictors of SITB across the two samples. Conclusions Overall, our results suggest that treatments targeting negative beliefs and risky behaviors may prevent SITB in community and Veteran populations, whereas treatments targeting distorted blame and unwanted memories may help reduce SITB for individuals with a history of combat trauma.

Network analysis of PTSD symptoms following mass violence.

2018 ◽  
Vol 10 (1) ◽  
pp. 58-66 ◽  
Author(s):  
Connor P. Sullivan ◽  
Andrew J. Smith ◽  
Michael Lewis ◽  
Russell T. Jones
Keyword(s):  
Network Analysis ◽  
Ptsd Symptoms ◽  
Mass Violence

scholarly journals Changes in the dynamic network structure of PTSD symptoms pre-to-post combat

2019 ◽  
Vol 50 (5) ◽  
pp. 746-753 ◽  
Author(s):  
Adva Segal ◽  
Ilan Wald ◽  
Gad Lubin ◽  
Eyal Fruchter ◽  
Keren Ginat ◽  
...  
Keyword(s):  
Network Analysis ◽  
Dynamic Network ◽  
Ptsd Symptoms ◽  
Post Traumatic Stress ◽  
Prospective Data ◽  
Combat Training ◽  
Ptsd Checklist ◽  
Psychological Reaction ◽  
Post Traumatic ◽  
Global Strength

AbstractBackgroundCombat exposure is associated with elevated risk for post-traumatic stress disorder (PTSD). Despite considerable research on PTSD symptom clustering, it remains unknown how symptoms of PTSD re-organize following combat. Network analysis provides a powerful tool to examine such changes.MethodsA network analysis approach was taken to examine how symptom networks change from pre- to post-combat using longitudinal prospective data from a cohort of infantry male soldiers (Mage = 18.8 years). PTSD symptoms measured using the PTSD Checklist (PCL) were assessed after 6 months of combat training but before deployment and again after 6 months of combat (Ns = 910 and 725 at pre-deployment and post-combat, respectively)ResultsStronger connectivity between PTSD symptoms was observed post-combat relative to pre-deployment (global strength values of the networks were 7.54 pre v. 7.92 post; S = .38, p < 0.05). Both the re-experiencing symptoms cluster (1.92 v. 2.12; S = .20, p < 0.03) and the avoidance symptoms cluster (2.61 v. 2.96; S = .35, p < 0.005) became more strongly inter-correlated post-combat. Centrality estimation analyses revealed that psychological reaction to triggers was central and linked the intrusion and avoidance sub-clusters at post-combat. The strength of associations between the arousal and reactivity symptoms cluster remained stable over time (1.85 v. 1.83; S = .02, p = .92).ConclusionsFollowing combat, PTSD symptoms and particularly the re-experiencing and avoidance clusters become more strongly inter-correlated, indicating high centrality of trigger-reactivity symptoms.

A network analysis of culturally relevant anxiety sensitivity and posttraumatic stress disorder symptoms in Cambodians

2020 ◽  
pp. 136346152090600 ◽  
Author(s):  
Devon E Hinton ◽  
Richard J McNally ◽  
Regina C E Fairfax ◽  
Tracy W Harachi
Keyword(s):  
Network Analysis ◽  
Anxiety Sensitivity ◽  
Physical Symptoms ◽  
Sensitivity Index ◽  
Ptsd Symptoms ◽  
Related Disorder ◽  
Posttraumatic Stress Disorder Symptoms ◽  
Anxiety Sensitivity Index ◽  
Hands And Feet ◽  
Relationship Of

The Anxiety Sensitivity Index (ASI) measures fears of anxiety-related symptoms based on respondent beliefs about their harmfulness. This is the first network analysis of anxiety sensitivity and PTSD, and the first to explore an addendum of culturally salient fears in such an analysis. The purpose of our study was to test whether relations among PTSD symptoms and facets of anxiety sensitivity, observed clinically, can be visualized by this approach. Using network analysis, we examined in a Cambodian population the relationship of PTSD symptoms to the standard Anxiety Sensitivity Index (ASI) and to an ASI Cambodian Addendum (ASICA) that taps culturally salient fears of somatic symptoms among Cambodians not assessed in the standard ASI. Computing relative importance networks, we found that the ASI subscales, ASICA, and PTSD subscales were strongly interconnected, with the ASICA having the strongest outstrength centrality. In the network analysis of the ASI subscales, disaggregated ASICA, and PTSD subscales, several of the ASICA items had very high outstrength. The results show that fear of mental and physical symptoms of anxiety should be a key part of the evaluation of trauma-related disorder, and that those fears should be targeted. It also suggests the need for ASI addenda to assess concerns about anxiety symptoms salient for certain cultures that are not assessed by the standard ASI: among Cambodian populations, fear of cold hands and feet, “out of energy in the arms and legs,” neck soreness, tinnitus, and dizziness on standing.

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

2020 ◽  
pp. 1-8
Author(s):  
Benjamin Trachik ◽  
Toby D. Elliman ◽  
Michelle L. Ganulin ◽  
Michael N. Dretsch ◽  
Lyndon A. Riviere ◽  
...  
Keyword(s):  
Network Analysis ◽  
Prevalence Rate ◽  
Random Order ◽  
Underlying Structure ◽  
Order Effects ◽  
Ptsd Symptoms ◽  
Network Analyses ◽  
Item Order ◽  
Confirmatory Factor ◽  
Network Composition

Abstract Background 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. Methods 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. Results 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. Conclusion 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.

1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
Renal Stones ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural

Learning and Consolidation of Verbal Declarative Memory in Patients with Posttraumatic Stress Disorder

2010 ◽  
Vol 218 (2) ◽  
pp. 135-140 ◽  
Author(s):  
Slawomira J. Diener ◽  
Herta Flor ◽  
Michèle Wessa
Keyword(s):  
Posttraumatic Stress Disorder ◽  
Posttraumatic Stress ◽  
Verbal Memory ◽  
Stress Disorder ◽  
Declarative Memory ◽  
Memory Performance ◽  
Verbal Learning ◽  
Depression Scale ◽  
Learning Performance ◽  
Ptsd Symptoms

Impairments in declarative memory have been reported in posttraumatic stress disorder (PTSD). Fragmentation of explicit trauma-related memory has been assumed to impede the formation of a coherent memorization of the traumatic event and the integration into autobiographic memory. Together with a strong non-declarative memory that connects trauma reminders with a fear response the impairment in declarative memory is thought to be involved in the maintenance of PTSD symptoms. Fourteen PTSD patients, 14 traumatized subjects without PTSD, and 13 non-traumatized healthy controls (HC) were tested with the California Verbal Learning Test (CVLT) to assess verbal declarative memory. PTSD symptoms were assessed with the Clinician Administered PTSD Scale and depression with the Center of Epidemiological Studies Depression Scale. Several indices of the CVLT pointed to an impairment in declarative memory performance in PTSD, but not in traumatized persons without PTSD or HC. No group differences were observed if recall of memory after a time delay was set in relation to initial learning performance. In the PTSD group verbal memory performance correlated significantly with hyperarousal symptoms, after concentration difficulties were accounted for. The present study confirmed previous reports of declarative verbal memory deficits in PTSD. Extending previous results, we propose that learning rather than memory consolidation is impaired in PTSD patients. Furthermore, arousal symptoms may interfere with successful memory formation in PTSD.

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