BACKGROUND: This study sets out to identify risk factors for post-traumatic stress disorder (PTSD) after a road traffic accident with a view to improving prevention. METHODS: The study used a prospective cohort of road traffic accident casualties. All subjects over 15 years of age were recruited in the course of an interview conducted while they were receiving care in a hospital of the Rhône area administrative département. Six months after their accident, they answered a self-administered postal questionnaire that included the Post-traumatic Check-List Scale (PCLS) in order to evaluate PTSD. Multivariate logistic regression analysis was conducted to compare those subjects with a PCLS score of 44 or over with those with a lower score, in order to identify factors that might be associated with PTSD. RESULTS: 592 subjects (out of 1168) returned the 6-month questionnaire and 541 completed the PCLS test. One hundred subjects had a PCLS score ≥ 44, suggesting PTSD, and 441 subjects did not. The factors associated with PTSD were initial injury severity, post-traumatic amnesia, the feeling of not being responsible for their accident and persistent pain 6 months after it. A lower odds-ratio was associated with users of two-wheel than four-wheel motor vehicles (OR=0.4; 0.2-0.9). CONCLUSION: Besides predictive factors for PTSD (injury severity, post-traumatic amnesia and the feeling of not being responsible for their accident), our study suggested a reduced risk of PTSD among two-wheel motor vehicle users.
BACKGROUND: This study sets out to identify risk factors for post-traumatic stress disorder (PTSD) after a road traffic accident with a view to improving prevention. METHODS: The study used a prospective cohort of road traffic accident casualties. All subjects over 15 years of age were recruited in the course of an interview conducted while they were receiving care in a hospital of the Rhône area administrative département. Six months after their accident, they answered a self-administered postal questionnaire that included the Post-traumatic Check-List Scale (PCLS) in order to evaluate PTSD. Multivariate logistic regression analysis was conducted to compare those subjects with a PCLS score of 44 or over with those with a lower score, in order to identify factors that might be associated with PTSD. RESULTS: 592 subjects (out of 1168) returned the 6-month questionnaire and 541 completed the PCLS test. One hundred subjects had a PCLS score ≥ 44, suggesting PTSD, and 441 subjects did not. The factors associated with PTSD were initial injury severity, post-traumatic amnesia, the feeling of not being responsible for their accident and persistent pain 6 months after it. A lower odds-ratio was associated with users of two-wheel than four-wheel motor vehicles (OR=0.4; 0.2-0.9). CONCLUSION: Besides predictive factors for PTSD (injury severity, post-traumatic amnesia and the feeling of not being responsible for their accident), our study suggested a reduced risk of PTSD among two-wheel motor vehicle users.
Authors: Xin Wang; Hong Xie; Andrew S Cotton; Kristopher R Brickman; Terrence J Lewis; John T Wall; Marijo B Tamburrino; William R Bauer; Kenny Law; Samuel A McLean; Israel Liberzon Journal: J Neurotrauma Date: 2016-06-27 Impact factor: 5.269
Authors: Wenjie Dai; Long Chen; Hongzhuan Tan; Jieru Wang; Zhiwei Lai; Atipatsa C Kaminga; Yan Li; Aizhong Liu Journal: BMC Public Health Date: 2016-02-29 Impact factor: 3.295
Authors: Lisa Falkenberg; Christian Zeckey; Philipp Mommsen; Marcel Winkelmann; Boris A Zelle; Martin Panzica; Hans-Christoph Pape; Christian Krettek; Christian Probst Journal: Eur J Med Res Date: 2017-10-30 Impact factor: 2.175