Evidence map›Paper›PMID 41281799›Full record

ArticlePsychology research and behavior management2025

Predictors of Acute and Chronic PTSD in Road Trauma Survivors: Insights from a 12-Month Cohort Study.

Somayeh Momenyan, Ariel Cheung, Herbert Chan, Lina Jae, John A Taylor, John A Staples, Devin R Harris, Jeffrey R Brubacher

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Article in Psychology research and behavior management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Somayeh MomenyanDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0001-6708-6070
Ariel CheungDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-1665-4880
Herbert ChanDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.
Lina JaeDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.
John A TaylorDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.
John A StaplesDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0003-1397-1503
Devin R HarrisDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.
Jeffrey R BrubacherDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-4866-4231

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The present study reports the prevalence of acute post-traumatic stress disorder (PTSD) symptoms (2 months post-injury) and chronic PTSD symptoms (6 and 12 months post-injury) among road trauma survivors. We also examine baseline factors as potential predictors of acute and chronic PTSD symptoms post-injury. Methods: This study followed a prospective cohort, enrolling 1480 survivors in Canada, between July 2018 and March 2020. PTSD symptoms were measured with the Post-traumatic Check-List Scale (PCL-S) at 2, 6, and 12 months post-injury. Baseline sociodemographic, psychological, medical, and injury-related factors were examined as predictors of acute and long-term PTSD symptoms using multivariable logistic regression. Results: PTSD symptoms were reported by 241 of 1074 participants (22.4%) at 2 months, 167 of 935 (17.9%) at 6 months, and 141 of 872 (16.2%) at 12 months. Female sex, Asian ethnicity, more retrospectively reported pre-injury somatic symptoms, greater pre-injury psychological distress, and being a pedestrian (vs a driver) were consistently linked to higher odds of PTSD symptoms at 2 and 6 months. At 2 months, younger age, greater pre-injury pain catastrophizing, uncertain recovery expectations, and head or spine/back injuries were additional significant predictors, while by 6 months, having neck injury remained significant. By 12 months, chronic PTSD symptoms was associated with greater pre-injury pain catastrophizing, lower pre-injury health-related quality of life, and spine/back injury. Injury pain remained a predictor across all follow-ups. Conclusion: PTSD symptom prevalence among survivors decreased between 2 and 6 months post-injury, but recovery rate slowed thereafter, with reduction between 6 and 12 months being much smaller than the earlier decrease. Furthermore, as some significant factors are modifiable, early interventions-such as effective pain management, psychological support, and coping strategy training-may help mitigate PTSD symptoms. Brief screening for psychological distress and pain catastrophizing could further support timely identification and referral of high-risk patients.

Indexed as

cohort studypost-traumatic stress disorderroad trauma injury

Identifiers

PMID41281799
PMCPMC12638262

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.