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Changes in the network structure of posttraumatic stress disorder symptoms at different time points among youth survivors: A network analysis.

Authors :
Ge, Fenfen
Yuan, Minlan
Li, Ying
Zhang, Jun
Zhang, Wei
Source :
Journal of Affective Disorders. Dec2019, Vol. 259, p288-295. 8p.
Publication Year :
2019

Abstract

<bold>Background: </bold>Despite considerable studies focused on the symptoms of posttraumatic stress disorder (PTSD), little is understood about how symptoms of PTSD change over time. The study aimed to use a network analysis approach to understand the nature of the association between PTSD symptoms at different time points among children and adolescents who experience an earthquake.<bold>Methods: </bold>A longitudinal study enrolled 1623 youth survivors who completed 3 assessments with the Children's Revised Impact of Event Scale at 2 weeks, 3 months and 6 months after the Lushan earthquake. The epicentre was Baoxing Country that located in the Ya'an city (Sichuan Province in China). A network analysis approach was used to investigate how symptom networks change at different time points.<bold>Results: </bold>A total of 1623 youth survivors (768 male and 855 female) completed three assessments. Different centrality symptoms existed at different time points. Flashback and upset by reminders were centrality symptoms at 2 weeks, 3 months and 6 months. The overall network connectivity was significantly stronger at 3 months than at 2 weeks (5.663 vs. 5.140, s = 0.523, p = 0.000), and significantly stronger at 6 months than at 2 weeks (6.094 vs. 5.663, s = 0.432, p = 0.020).<bold>Limitations: </bold>Participants from a specific region might limit the generalizability of our results. A self-report questionnaire was used to assess PTSD symptoms.<bold>Conclusions: </bold>Re-experience cluster (flashback and upset by reminders) and their interactions might play a key role in PTSD symptom evolution. Over time, the global connectivity becomes stronger, suggesting that youth survivors are more vulnerable in the chronic phases. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01650327
Volume :
259
Database :
Academic Search Index
Journal :
Journal of Affective Disorders
Publication Type :
Academic Journal
Accession number :
141606816
Full Text :
https://doi.org/10.1016/j.jad.2019.08.065