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Network analysis of posttraumatic stress and posttraumatic growth symptoms among women in subsequent pregnancies following pregnancy loss
- Source :
- BMC Psychiatry, Vol 24, Iss 1, Pp 1-7 (2024)
- Publication Year :
- 2024
- Publisher :
- BMC, 2024.
-
Abstract
- Abstract Background Pregnant women who have undergone pregnancy loss often display both posttraumatic stress (PTS) and posttraumatic growth (PTG). However, the precise relationship and structure of symptomatic levels of PTS and PTG have not been well understood. This study aimed to assess the associations between PTS and PTG symptoms in women during subsequent pregnancies following a previous pregnancy loss. Methods A total of 406 pregnant women with a history of pregnancy loss were included in this study. The Impact of Events Scale-6 (IES-6) and the Posttraumatic Growth Inventory Short Form (PTGI-SF) were used to assess symptoms of PTS and PTG, respectively. The Graphical Gaussian Model was employed to estimate the network model. Central symptoms and bridge symptoms were identified based on “expected influence” and “bridge expected influence” indices, respectively. The stability and accuracy of the network were examined using the case-dropping procedure and nonparametric bootstrapped procedure. Results The network analysis identified PTG3 (“Ability to do better things”) as the most central symptom, followed by PTS3 (“Avoidance of thoughts”) and PTG6 (“New path for life”) in the sample. Additionally, PTS3 (“Avoidance of thoughts”) and PTG9 (“Perception of greater personal strength”) were bridge symptoms linking PTS and PTG clusters. The network structure was robust in stability and accuracy tests. Conclusions Interventions targeting the central symptoms identified, along with key bridge symptoms, have the potential to alleviate the severity of PTS experienced by women with a history of pregnancy loss and promote their personal growth.
Details
- Language :
- English
- ISSN :
- 1471244X
- Volume :
- 24
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- BMC Psychiatry
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.04cd678f4321450492e701f2a50057f2
- Document Type :
- article
- Full Text :
- https://doi.org/10.1186/s12888-024-05702-6