The temporal dynamics of symptoms during exposure therapies of PTSD: a network approach
| Autor: | Tomas Formo Langkaas, Sverre Urnes Johnson, Asle Hoffart, Tuva Øktedalen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
multilevel vector autoregressive model
trastorno de estrés postraumático 050103 clinical psychology Startle response 多层向量自回归模型 lcsh:RC435-571 medicine.medical_treatment Exposure therapy Traumatic memories exposición prolongada 03 medical and health sciences 0302 clinical medicine red de síntomas dinámicos 动态症状网络 • Dynamic networks of PTSD symptoms may reveal useful targets of treatment.• Hypervigilance and physiological reactivity to reminders were most predictive.• Physiological reactivity predicted subsequent distress reactivity and flashbacks.• Hypervigilance predicted subsequent startle response and external avoidance lcsh:Psychiatry medicine 0501 psychology and cognitive sciences Reactivity (psychology) índices de centralidad 中心性指数 Clinical Research Article medicine.diagnostic_test business.industry modelo de vectores autorregresivos multinivel 05 social sciences 延长暴露 Hypervigilance 030227 psychiatry centrality indices Prolonged exposure Distress dynamic symptom network posttraumatic stress disorder 创伤后应激障碍 prolonged exposure medicine.symptom business Network approach Clinical psychology |
| Zdroj: | European Journal of Psychotraumatology, Vol 10, Iss 1 (2019) European Journal of Psychotraumatology |
| ISSN: | 2000-8066 |
| Popis: | Background: Analysis of dynamic (temporal) networks allows an identification of important targets of treatment. Objective: This study examined the dynamic network of symptoms in patients diagnosed with post-traumatic stress disorder (PTSD) during exposure therapy. Method: Patients (n = 65) were randomized to either standard prolonged exposure, which includes imaginal exposure to the traumatic memory, or modified prolonged exposure, where imagery re-scripting of the memory replaced imaginal exposure, in a 10-week residential program. They completed a measure of DSM-IV PTSD symptoms weekly. The multilevel vector autoregressive (mlVAR) model was used to analyse the data, producing a temporal (dynamic), contemporaneous, and between-person network. Results: Physiological reactivity to reminders in a given week was positively related to distress reactivity and to flashbacks the subsequent week. Hypervigilance one week was positively related to startle response and external avoidance the subsequent week. In addition, sleep problems were positively predicted by previous week internal avoidance and negatively predicted by previous week flashbacks. Hypervigilance and physiological reactivation had the highest out-strength, indicating that they were the most predictive of other symptoms. Conclusions: The present within-person results make a preliminaryrect basis for the recommendation to monitor and facilitate change in physiological reactivation and hypervigilance in the treatment of PTSD. Future studies should examine the replicability of our temporal PTSD network and also include causal variables beyond symptoms. • Dynamic networks of PTSD symptoms may reveal useful targets of treatment.• Hypervigilance and physiological reactivity to reminders were most predictive.• Physiological reactivity predicted subsequent distress reactivity and flashbacks.• Hypervigilance predicted subsequent startle response and external avoidance. |
| Databáze: | OpenAIRE |
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