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Factors Associated with Complicated Grief in Students Who Survived the Sewol Ferry Disaster in South Korea

Overview of attention for article published in Psychiatry Investigation, February 2018
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Title
Factors Associated with Complicated Grief in Students Who Survived the Sewol Ferry Disaster in South Korea
Published in
Psychiatry Investigation, February 2018
DOI 10.30773/pi.2017.05.04
Pubmed ID
Authors

So Hee Lee, Hee Sun Nam, Hak Beom Kim, Eun Ji Kim, Jin-Won Noh, Jeong-Ho Chae

Abstract

The Sewol ferry disaster caused shock and grief in South Korea. The aim of this study was to identify the factors associated with symptoms of complicated grief (CG) among the surviving students 20 months after that disaster. This study was conducted using a cross-sectional design and a sample of 57 students who survived the Sewol ferry disaster. Data were collected using the following instruments: Inventory of Complicated Grief (ICG), the Lifetime Incidence of Traumatic Events-Child, the Child Report of Post-Traumatic Symptoms (CROPS), KIDSCREEN-27, Family Adaptability and Cohesion Evaluation Scales-III, the Peri-traumatic Dissociation-Post-traumatic Negative Beliefs-Post-traumatic Social Support scale, and the Strengths and Difficulties Questionnaire. A generalized linear model using a log link and Poisson distribution was performed to identify factors associated with symptoms of CG. The mean score on the ICG was 15.57 (standard deviation: 12.72). Being born in 1999, a higher score on the CROPS and a lower score in autonomy and relationship with parents on the KIDSCREEN-27 were related to higher levels of CG. Twenty months after the Sewol ferry disaster, 24.5% of surviving students were suffering from CG. This study uncovered a vulnerable population of bereaved children at high risk for CG.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Student > Bachelor 7 16%
Researcher 4 9%
Student > Doctoral Student 3 7%
Student > Postgraduate 2 4%
Other 3 7%
Unknown 17 38%
Readers by discipline Count As %
Psychology 13 29%
Linguistics 5 11%
Social Sciences 3 7%
Nursing and Health Professions 2 4%
Unspecified 2 4%
Other 4 9%
Unknown 16 36%