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Changes in the dynamic network structure of PTSD symptoms pre-to-post combat.
Segal, Adva; Wald, Ilan; Lubin, Gad; Fruchter, Eyal; Ginat, Keren; Ben Yehuda, Ariel; Pine, Daniel S; Bar-Haim, Yair.
  • Segal A; School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Wald I; School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Lubin G; Division of Mental Health, Medical Corps, Israel Defense Forces, Ramat Gan, Israel.
  • Fruchter E; Division of Mental Health, Medical Corps, Israel Defense Forces, Ramat Gan, Israel.
  • Ginat K; Division of Mental Health, Medical Corps, Israel Defense Forces, Ramat Gan, Israel.
  • Ben Yehuda A; Division of Mental Health, Medical Corps, Israel Defense Forces, Ramat Gan, Israel.
  • Pine DS; National Institutes of Mental Health, Bethesda, Maryland, USA.
  • Bar-Haim Y; School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel.
Psychol Med ; 50(5): 746-753, 2020 04.
Article en En | MEDLINE | ID: mdl-30919787
ABSTRACT

BACKGROUND:

Combat 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.

METHODS:

A 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).

RESULTS:

Stronger 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).

CONCLUSIONS:

Following combat, PTSD symptoms and particularly the re-experiencing and avoidance clusters become more strongly inter-correlated, indicating high centrality of trigger-reactivity symptoms.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trastornos por Estrés Postraumático / Despliegue Militar / Personal Militar Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Límite: Adolescent / Adult / Humans / Male País como asunto: Asia Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trastornos por Estrés Postraumático / Despliegue Militar / Personal Militar Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Límite: Adolescent / Adult / Humans / Male País como asunto: Asia Idioma: En Año: 2020 Tipo del documento: Article