TY - JOUR
T1 - Changes in the dynamic network structure of PTSD symptoms pre-to-post combat
AU - Segal, Adva
AU - Wald, Ilan
AU - Lubin, Gad
AU - Fruchter, Eyal
AU - Ginat, Keren
AU - Ben Yehuda, Ariel
AU - Pine, Daniel S.
AU - Bar-Haim, Yair
N1 - Publisher Copyright:
© Cambridge University Press 2019.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - 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.
AB - 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.
KW - Combat stress
KW - Networks analysis
KW - Post-traumatic stress disorder
UR - http://www.scopus.com/inward/record.url?scp=85063626687&partnerID=8YFLogxK
U2 - 10.1017/S0033291719000539
DO - 10.1017/S0033291719000539
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C2 - 30919787
AN - SCOPUS:85063626687
SN - 0033-2917
VL - 50
SP - 746
EP - 753
JO - Psychological Medicine
JF - Psychological Medicine
IS - 5
ER -