Sleep apnea symptoms and accident risk factors in Persian commercial vehicle drivers

Amra, Babak; Dorali, Reza; Mortazavi, Seyede Salehe; Golshan, Mohammad; Farajzadegan, Ziba; Fietze, Ingo; Penzel, Thomas

doi:10.1007/s11325-010-0473-x

Cited by 41 publications

(43 citation statements)

References 14 publications

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“…Our previous validation study in a subcohort of the current population demonstrated that severe daytime sleepiness expressed as ESS≥16 was associated strongly with risk of MVA. A similar finding was reported by Howard et al (2004), while the ESS was not proven to predict MVA risk in other OSA populations (Amra et al, 2012). Therefore, the ESS is likely to reflect components of vigilance and cognitive function that are not sufficiently sensitive or specific to identify all OSA patients at risk.…”

supporting

confidence: 69%

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Driving habits and risk factors for traffic accidents among sleep apnea patients – a European multi‐centre cohort study

Karimi

Hedner

Lombardi

et al. 2014

Journal of Sleep Research

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SUMMARYObstructive sleep apnea is associated with increased motor vehicle accident risk, and improved detection of patients at risk is of importance. The present study addresses potential risk factors in the European Sleep Apnea Database and includes patients with suspected obstructive sleep apnea [n = 8476, age 51.5 (12.5) years, body mass index 31.0 (6.6) kg m À2 , 82.4% driver's licence holders]. Driving distance (km year À1), driver's licence type, sleep apnea severity, sleepiness and comorbidities were assessed. Previously validated risk factors for accident history: Epworth Sleepiness Scale ≥16; habitual sleep time ≤5 h; use of hypnotics; and driving ≥15 000 km year À1 were analysed across European regions. At least one risk factor was identified in male and female drivers, 68.75 and 51.3%, respectively. The occurrence of the risk factors was similar across Europe, with only a lower rate in the eastern region (P = 0.001). The mean number of risk factors increased across classes of sleep apnea severity. Frequent driving was prevalent [14.0 (interquartile range 8.0-20.0) 9 10 3 km year À1 ] and 32.7% of drivers had severe obstructive sleep apnea [apnea-hypopnea index 50.3 (38.8-66.0) n h À1 ]. Obesity, shorter sleep time and younger age were associated with increased traffic exposure (P ≤ 0.03). In conclusion, the risk factors associated with accident history were common among European patients with suspected obstructive sleep apnea, but varied between geographical regions. There was a weak covariation between occurrence of risk factors and clinically determined apnea severity but frequent driving, a strong risk factor for accidents, was over-represented. Systematic evaluation of accident-related risk factors is important to detect sleep apnea patients at risk for motor vehicle accidents. IN TROD UCTI ONObstructive sleep apnea (OSA) leads to hypoxaemia, autonomic activation and sleep fragmentation. The condition affects at least 24% of male and 9% of female adults (Punjabi, 2008;Young et al., 1993). Daytime consequences of OSA include excessive daytime sleepiness (EDS) (Stoohs et al., 1994) and cognitive impairment (Mitler, 1993) in many, but not all, OSA patients.Risk factors (RFs) for motor vehicle accidents (MVA) include driving exposure and experience, road and weather conditions, traffic density and time of day (Horne and Reyner, 1995;Pack, 1995;Stutts et al., 2003). The linked human factors include circadian timing, time on task, cumulative sleep deficit and presence of comorbidities such as metabolic, neurological or cardiovascular disease

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supporting

confidence: 69%

“…The condition is associated with a two-to sevenfold increased risk for MVA (Amra et al, 2012;Howard et al, 2004;Teran-Santos et al, 1999). Treatment of OSA with continuous positive airway pressure (CPAP) eliminates apneas, reduces daytime symptoms (Sullivan et al, 1981;Tregear et al, 2010) and results in a reduction of the excess MVA risk.…”

Section: Introductionmentioning

confidence: 99%

Driving habits and risk factors for traffic accidents among sleep apnea patients – a European multi‐centre cohort study

Karimi

Hedner

Lombardi

et al. 2014

Journal of Sleep Research

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“…The prevalence of the EDS in Turkey was estimated to be 5.4% in the TAPES study [6]. OSA is an important contributor to the occurrence of EDS in general population [11,12], and the condition is associated with a two-to sevenfold increased risk for MVA [11,13,14]. Crashes due to EDS typically involve running off the road or into the back of another vehicle [15].…”

Section: Sleepiness and Fatiguementioning

confidence: 99%

Obstructive sleep apnea and driving risk: The current Turkish legislation, controversies, and future perspectives

Peker¹

2016

MMJ

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“…They find the larger AADT and worse CR can significantly increase accidents. Amra et al [1] reveal that the most important predictors of motor vehicle accidents for Persian commercial professional drivers are larger neck circumference, history of witnessed apneas and high-risk Berlin questionnaire. Shin et al [15] study the relationship between car color (in terms of chromatic aberration) and car accident.…”

Section: Related Workmentioning

confidence: 99%

“…the color of the vehicle [15]. The second group includes the features on individual drivers, like the history of witnessed apneas [1] and the older drivers driving with pets [2]. The third class includes the features on the external environment, like the traffic condition and road condition [16], the regulatory surveillance camera [4].…”

Section: Introductionmentioning

confidence: 99%

Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing

Zhuang

Wu²,

et al. 2015

Proceedings of the 2015 SIAM International Conference on Data Mining

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Thousands of vehicle accidents happen every day in Beijing, leading to huge losses. Government traffic management bureau, hospitals, and insurance companies put massive manpower and material resources to deal with accidents. For more reasonable resource assignment, in this study we focus on the prediction of daily Vehicle Accident Rate (VAR), namely the percentage of vehicles with accidents. Specifically, we analyze how the variation of VAR correlates with the macroscopic features, like Chinese festival, date, tailnumber limit line etc., and develop the prediction model for VAR based on these features. Our analysis is based on the records of two-year accidents on the vehicles, which are insured by a local insurance giant in Beijing. Experiments show that the proposed model can predict the long-term VAR for at least three months in advance, with satisfactory results. Note also that our study is based on the local conditions in Beijing with Chinese characteristics. It not only helps government bureaus and insurance companies to operate more efficiently, but also helps to know many underlying characteristics of this China capital in a macroscopic perspective.

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Sleep apnea symptoms and accident risk factors in Persian commercial vehicle drivers

Abstract: In Persian professional drivers, high-risk Berlin questionnaire, larger neck circumference, and a history of witnessed apneas were the most important predictors of motor vehicle accident.

Cited by 41 publications

References 14 publications

Driving habits and risk factors for traffic accidents among sleep apnea patients – a European multi‐centre cohort study

Driving habits and risk factors for traffic accidents among sleep apnea patients – a European multi‐centre cohort study

Obstructive sleep apnea and driving risk: The current Turkish legislation, controversies, and future perspectives

Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing

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