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Mechanisms of Psychological Distress following War in the Former Yugoslavia: The Role of Interpersonal Sensitivity

Overview of attention for article published in PLOS ONE, March 2014
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Title
Mechanisms of Psychological Distress following War in the Former Yugoslavia: The Role of Interpersonal Sensitivity
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0090503
Pubmed ID
Authors

Angela Nickerson, Stefan Priebe, Richard A. Bryant, Nexhmedin Morina

Abstract

While high prevalence rates of psychological symptoms have been documented in civilian survivors of war, little is known about the mechanisms by which trauma exposure might lead to poor psychological outcomes in these populations. One potential mechanism that may underpin the association between war-related traumatic experiences and psychopathology is interpersonal sensitivity. In the current study, we applied structural equation modeling to investigate the impact of interpersonal sensitivity on posttraumatic stress disorder (PTSD) symptoms, depression symptoms, and anger responses following exposure to war trauma. 3313 survivors of the war in the former Yugoslavia were identified and selected using a multistage, probabilistic sampling frame and random walk technique. Participants were interviewed regarding trauma exposure, interpersonal sensitivity, and PTSD symptoms, depression symptoms, and anger responses. Structural equation modeling analyses revealed that the relationship between trauma and PTSD symptoms and depression symptoms was partly statistically mediated by interpersonal sensitivity. Further, findings indicated that the relationship between trauma and anger responses was fully statistically mediated by interpersonal sensitivity. These results suggest that interpersonal sensitivity may function as a key mechanism that contributes to psychopathology following trauma.

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The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 9 18%
Student > Bachelor 6 12%
Student > Master 5 10%
Other 2 4%
Other 7 14%
Unknown 9 18%
Readers by discipline Count As %
Psychology 21 43%
Medicine and Dentistry 5 10%
Social Sciences 4 8%
Nursing and Health Professions 2 4%
Agricultural and Biological Sciences 1 2%
Other 6 12%
Unknown 10 20%