Predictors of Post-Traumatic Stress Disorder among Victims of Serious Motor Vehicle Accidents

Document Type: Original article

Authors

1 Department of Community Health Nursing Group, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran

2 Nursing and Midwifery Care Research Center, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran

3 Department of Medical- surgical Nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran

4 Department of Neurosurgery, Guilan Road Trauma Research Center, Guilan University of Medical Sciences, Rasht, Guilan, Iran; and Neuroscience Research Center, Poursina Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Guilan, Iran

5 Department of Biostatistics, School of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran

Abstract

Background: Compelling evidence has shown that motor vehicle accidents have an enormous impact on mental health. Post-traumatic Stress Disorder (PTSD) is one of the most common psychological consequences in adult survivors of accidents, so it is important to understand the prevalence and predictors of this issue since delay causes damage to crucial daily functioning.This study aimed at investigating the prevalence and predictors of PTSD after motor vehicle accident.Methods: This cross-sectional study was conducted on 528 injured patients six weeks to six months after motor vehicle accident in Imam Reza Clinic of Poursina hospital, Rasht in 2015. Data collection tools were three questionnaires including post-traumatic stress-self report (PSS), Beck Depression Inventory (BDI-II), and the Numeric Rating Scale (NRS) for pain. The data were analyzed in SPSS (Version 19) using Chi-square, Fischer’s exact test and multivariate logistic regression. Significance level was considered P≤0.05.Results: The prevalence of PTSD and depression was 30.49% and 19.89% in participants, respectively. Chi-square test indicated a significant relationship among age (P=0.02), sex (P<0.001), education level (P<0.001), work status (P<0.001) and PTSD. Participants who reported pain (P<0.001) and depression (P<0.001) were more likely to have high score of PTSD than the others. Multivariate logistic regression showed this significance in sex, depression, age, educational status and pain, as constant risk factors in developing PTSD after accident.Conclusion: This study suggests that primary care setting should be readily prompted for diagnosis of these disorders in non-treatment seeking individuals in the community.

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