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...

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Main Authors: Yolaine G. Ahanhanzo (Author), Alphonse Kpozehouen (Author), Lamidhi Salami (Author), Nicolas Gaffan (Author), Bella H. Dos Santos (Author), Alain Levêque (Author)
Format: Book
Published: AOSIS, 2023-12-01T00:00:00Z.
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100 1 0 |a Yolaine G. Ahanhanzo  |e author 
700 1 0 |a Alphonse Kpozehouen  |e author 
700 1 0 |a Lamidhi Salami  |e author 
700 1 0 |a Nicolas Gaffan  |e author 
700 1 0 |a Bella H. Dos Santos  |e author 
700 1 0 |a Alain Levêque  |e author 
245 0 0 |a Prevalence of fatigue while driving among two‑wheeled vehicle drivers and associated factors: Exploratory approach from secondary analysis based on hospital data, Benin 
260 |b AOSIS,   |c 2023-12-01T00:00:00Z. 
500 |a 2038-9922 
500 |a 2038-9930 
500 |a 10.4081/jphia.2023.2601 
520 |a 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. 
546 |a EN 
690 |a fatigue 
690 |a prevalence 
690 |a factors associated 
690 |a road crash 
690 |a benin 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Journal of Public Health in Africa, Vol 14, Iss 12 (2023) 
787 0 |n https://publichealthinafrica.org/index.php/jphia/article/view/30 
787 0 |n https://doaj.org/toc/2038-9922 
787 0 |n https://doaj.org/toc/2038-9930 
856 4 1 |u https://doaj.org/article/8c12bf67b4d44791b452582a153f08d1  |z Connect to this object online.