Prevalence and Risk Factors of Post-Traumatic Stress Disorder in Survivors of a Cohort of Road Accident Victims in Benin: Results of a 12-Month Cross-Sectional Study

What Are the Predictors of Post-traumatic Stress Disorder Among Road Traffic Accident Survivors: A Systematic Review

ABSTRACT

Traffic accidents put tremendous burdens on the psychosocial aspects of communities. Post-traumatic stress disorder (PTSD), after an accident, is one of the most prevalent and incapacitating psychiatric conditions worldwide. In this systematic review, we aimed to investigate the predictors of PTSD in traffic accident victims. Primary search was conducted in November 2021 and updated in 2023. Studies were excluded if they used any analysis except regression for predictors. Cumulatively, primary and update searches retrieved 10,392 articles from databases, and of these, 87 studies were systematically reviewed. The predictors were categorized into sociodemographics, pretrauma, peritrauma, and post-trauma factors. The PTSD assessment time varied between 2 weeks and 3 years. Being a woman, having depression and having a history of road traffic accidents pretraumatically, peritraumatic dissociative experiences, acute stress disorder diagnosis, rumination, higher injury severity, and involvement in litigation or compensation after the trauma were significant predictors of PTSD.

Prevalence of fatigue while driving among two-wheeled vehicle drivers and associated factors: Exploratory approach from secondary analysis based on hospital data, Benin

Fatigue while driving is one of the risk factors of road crashes. It's still poorly considered in interventions because of insufficient literature. In addition, the literature on this issue doesn't focus on two-wheelers, the most frequent users in the Benin context. The study examined the prevalence of fatigue while driving among two-wheeled vehicle drivers and the related factors. It's a secondary baseline data analysis from a cohort of road crash victims recruited from five hospitals in Benin. Data were collected from July 2019 to January 2020. Patients who identified themselves as drivers during the accident were included. Data on individual characteristics, including fatigue status in the moments preceding the collision, and other risk factors and environmental settings, were extracted. We used multivariate logistic regression. Among the respondents, 12.20% (95% CI=10.20-14.53) reported fatigue in the moments preceding the collision. The odds of fatigue while driving were significantly higher in male drivers (aOR=3.60; 95% CI=1.08-11.98), during professional trips (aOR=2.09; 95% CI=1.30-3.37), in non-helmet wearers (aOR=1.85; 95% CI=1.09-3.13), in users of stimulants (aOR=3.13; 95% CI=1.50-6.54), in those with a history of chronic diseases (aOR=1.95; 95% CI=1.16-3.27), at dusk (aOR=4.22; 95% CI=2.22-8.02), at night (aOR=6.90; 95% CI=3.95-12.05), and on Inter-State National Roads (aOR=2.01; 95% CI=1.18-3.43). Fatigue is a risk factor for road crashes in Benin, associated with other risk factors that highlight particularly vulnerable profiles and groups. Integrating prevention policies based on these cumulative risk factors will result in efficiency improvements.

Understanding the factors of road crash severity in Benin: a matched case-control study

Background

In Benin, due to the unavailability of comprehensive data on road crashes, road safety policies are mainly based on partial statistics provided by the police. These remain unreliable in terms of injury severity and risk factors. This study aims to determine the factors influencing the severity of injuries after a road crash in Benin.

Methods

The present nested case-control study, matched for age and sex, was based on a hospital cohort of road crash victims set up in five hospitals in Benin between July 2019 and January 2020. A sample of severely injured patients according to the Abbreviated Injury Scale (cases) was compared to non-severely injured patients (controls).

Results

The severe crash occurred mainly during the night between 8 p.m. and midnight (36.2% of cases vs. 24.4% of controls) and on main roads (57.8% of cases vs. 34.7% of controls). Factors associated with injury severity were the time of the crash: night between 8 p.m. and midnight [Adjusted Odd Ratio (AOR): 2.1; CI 95%: 1.4-3.2], major roads (national interstate roads and national roads) (AOR: 2.8; CI 95%: 2.0-4.0) and non-work-related travel (AOR: 1.8; CI 95%: 1.2-2.7).

Conclusions

Factors associated with road crash severity in Benin were night-time, main roads, and non-work related travel. Raising user awareness about compliance with traffic rules and improving public lighting, especially along main roads could help reduce the number of serious injuries.