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Factors Associated with Complicated Grief Following a Railway Tragedy.
Danielle Maltais1, Jacques Cherblanc1, Susan Cadell2
1Department of Human and Social Sciences, Université du Québec à Chicoutimi (UQAC), Saguenay, Québec, Canada.
Technological disasters like the Lac-Mégantic train derailment can cause complicated grief (CG) in bereaved individuals. Factors like disaster exposure and low income increase CG risk, highlighting the need for targeted support.
Area of Science:
- Disaster mental health
- Bereavement research
- Technological disaster impact
Background:
- Technological disasters, such as the 2013 Lac-Mégantic crude oil train derailment, are understudied in bereavement research.
- The Lac-Mégantic tragedy resulted in 47 fatalities, impacting a small community and necessitating an examination of its long-term mental health consequences.
Purpose of the Study:
- To enhance understanding of the bereavement consequences following technological disasters.
- To identify factors contributing to complicated grief (CG) and protective factors in survivors of the Lac-Mégantic train accident.
Main Methods:
- A representative population-based survey was conducted among 268 bereaved individuals.
- Data were collected three and a half years post-disaster, utilizing hierarchical logistic regression analysis.
Main Results:
- 26.5% (71 individuals) of the bereaved population experienced complicated grief (CG).
- Significant differences were observed between those with and without CG regarding psychological health, perceived physical health, substance use, and social/professional relationships.
- Predictive factors for CG included higher exposure to the disaster, negative event perception, having a paid job, and low income.
Conclusions:
- The study underscores the significant prevalence of complicated grief following a major technological disaster.
- Identified risk factors (exposure, perception, employment, income) require attention from health and social practitioners for targeted interventions.
- Further research is needed to develop effective support strategies for disaster-affected populations.
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