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Unpacking constructs: a network approach for studying war exposure, daily stressors and post-traumatic stress disorder

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Abstract
Conflict affected populations are exposed to stressful events during and after war, and it is well established that both take a substantial toll on individuals' mental health. Exactly how exposure to events during and after war affect mental health is a topic of considerable debate. Various hypotheses have been put forward on the relation between stressful war exposure (SWE), daily stressors (DS) and the development of post-traumatic stress disorder (PTSD). This paper seeks to contribute to this debate by critically reflecting upon conventional modeling approaches and by advancing an alternative model to studying interrelationships between SWE, DS, and PTSD variables. The network model is proposed as an innovative and comprehensive modeling approach in the field of mental health in the context of war. It involves a conceptualization and representation of variables and relationships that better approach reality, hence improving methodological rigor. It also promises utility in programming and delivering mental health support for war-affected populations.
Keywords
MENTAL-HEALTH, FORMER CHILD SOLDIERS, PSYCHOSOCIAL ADJUSTMENT, POLITICAL-CONFLICT, RISK-FACTORS, LIFE EVENTS, VIOLENCE, ASSOCIATION, TRAUMA, YOUTH, formative model, reflective model, network model, measurement, PTSD, war

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Chicago
De Schryver, Maarten, Sofie Vindevogel, AE Rasmussen, and AOJ Cramer. 2015. “Unpacking Constructs: a Network Approach for Studying War Exposure, Daily Stressors and Post-traumatic Stress Disorder.” Frontiers in Psychology 6.
APA
De Schryver, M., Vindevogel, S., Rasmussen, A., & Cramer, A. (2015). Unpacking constructs: a network approach for studying war exposure, daily stressors and post-traumatic stress disorder. FRONTIERS IN PSYCHOLOGY, 6.
Vancouver
1.
De Schryver M, Vindevogel S, Rasmussen A, Cramer A. Unpacking constructs: a network approach for studying war exposure, daily stressors and post-traumatic stress disorder. FRONTIERS IN PSYCHOLOGY. LAUSANNE: FRONTIERS MEDIA SA; 2015;6.
MLA
De Schryver, Maarten et al. “Unpacking Constructs: a Network Approach for Studying War Exposure, Daily Stressors and Post-traumatic Stress Disorder.” FRONTIERS IN PSYCHOLOGY 6 (2015): n. pag. Print.
@article{7058156,
  abstract     = {Conflict affected populations are exposed to stressful events during and after war, and it is well established that both take a substantial toll on individuals' mental health. Exactly how exposure to events during and after war affect mental health is a topic of considerable debate. Various hypotheses have been put forward on the relation between stressful war exposure (SWE), daily stressors (DS) and the development of post-traumatic stress disorder (PTSD). This paper seeks to contribute to this debate by critically reflecting upon conventional modeling approaches and by advancing an alternative model to studying interrelationships between SWE, DS, and PTSD variables. The network model is proposed as an innovative and comprehensive modeling approach in the field of mental health in the context of war. It involves a conceptualization and representation of variables and relationships that better approach reality, hence improving methodological rigor. It also promises utility in programming and delivering mental health support for war-affected populations.},
  articleno    = {1896},
  author       = {De Schryver, Maarten and Vindevogel, Sofie and Rasmussen, AE and Cramer, AOJ},
  issn         = {1664-1078},
  journal      = {FRONTIERS IN PSYCHOLOGY},
  keywords     = {MENTAL-HEALTH,FORMER CHILD SOLDIERS,PSYCHOSOCIAL ADJUSTMENT,POLITICAL-CONFLICT,RISK-FACTORS,LIFE EVENTS,VIOLENCE,ASSOCIATION,TRAUMA,YOUTH,formative model,reflective model,network model,measurement,PTSD,war},
  language     = {eng},
  pages        = {10},
  publisher    = {FRONTIERS MEDIA SA},
  title        = {Unpacking constructs: a network approach for studying war exposure, daily stressors and post-traumatic stress disorder},
  url          = {http://dx.doi.org/10.3389/fpsyg.2015.01896},
  volume       = {6},
  year         = {2015},
}

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