Freight transport and non-driving work duties as predictors of falling asleep at the wheel in urban areas of Crete
Introduction
Driving is regarded as a skillful task that requires sustained vigilance and quick reaction times. Sleepiness, on the other hand, is a basic physiological state, which, when appears while driving, impairs a driver's performance. Sleepiness and driving cannot coexist if road crashes are to be avoided. The risk for being involved in road crashes caused by sleepiness or falling asleep at the wheel, is increased for professional drivers whose job makes great demands on their time. Driving a heavy truck or a bus usually includes many other tasks in addition to driving the vehicle (e.g., multiple deliveries in a single trip, loading and unloading). Professional drivers may also have to be at the wheel for many hours a day and many days a week, a practice that usually results in irregular sleep habits. Under these work conditions, professional drivers are thought to be at a higher risk for being involved in a sleepiness-related road crash.
The research presented here was carried out on the island of Crete, the biggest island of Greece, located in the most southern edge of the country. The residents of the island deal mainly with agriculture, cattle breeding, tourism, and trade. Large quantities of agricultural products and livestock are transported daily from several rural regions of the island to the big urban centers as well as to other cities of Greece. Moreover, a great number of tourists visit the island during the summer season. The great growth in the sectors of trade and tourism in the last decades has resulted in greater need for professional drivers and vehicles, and a growing demand on their work. Consequently, truck crashes have increased.
Information regarding the island of Crete, provided by the Greek Traffic Police, indicate that 1,014 road crashes occurred within the years 1998–2001, out of which 188 were fatal and 393 had serious injuries. Moreover, analyzing the data regarding the whole country for the years 1995–2001, almost 150,000 road crashes (fatal and non-fatal) occurred throughout Greece (nearly 25% involved heavy trucks and 1% buses). Based on these heavy vehicle estimations and after taking into consideration that 10% of the total truck crashes are fatal, scientific research on drowsy driving among professional drivers is necessary (Greek Traffic Police, 2001).
The contribution of sleepiness as a cause for road crashes cannot be estimated because accidents rarely leave any sign to indicate that the driver had been sleepy or fell asleep at the wheel. Besides that, Greece has no official accident-reporting document with which the driver, soon after the crash, could report their point of view about the cause of their crash. Such a procedure seems significant for finding the real causes of a road crash and also for reporting sleepiness-related crashes (assuming that “sleepiness” is included among the driver's choices; Papadakaki & Chliaoutakis, 2002).
The absence of an official document means that sleepiness is rarely reported as a cause of road crashes, since it is rarely suspected by the police as a possible road crash cause and since potential liability may motivate the drivers not to reveal the real causes of their crash. Sleepiness is thus under-recognized, as has been identified by other researchers (Brown, 1994, Fell, 1994). It could be suggested that distraction, which is claimed responsible for 15% of all the heavy vehicle crashes in Greece for the years 1995–2001, is used as a substitute or what appears as a result of sleepiness (see previous research: Dinges, 1995, Brown, 1994).
Based on the above, it is obvious that there is no official data on the prevalence of drowsy driving in Greece and consequently no “material” for scientific analysis. Therefore, this study is a first attempt to address the drowsy driving problem among professional drivers in Greece.
The limited research in Greece on the problem of drowsy driving may be contrasted with the level of knowledge in other countries, where the problem of sleepiness or falling asleep at the wheel has long been recognized and meticulously studied. A number of studies, deriving from different countries, illustrate the drowsy driving problem and its dimensions. A significant relationship between the probability of feeling close to falling asleep at the wheel and variables such as Epworth score, age, annual mileage, proportion of time spent driving on motorways as well as roads in built-up areas and occupational group, was found in a mail survey in Great Britain (Maycock, 1997). More precisely, a higher Epworth score increased the probability that a driver would feel close to falling asleep at the wheel and so did the proportion of time spent driving on motorways and the annual mileage. On the other hand, age had a negative effect and the proportion of time spent driving in built up areas decreased the probability of feeling close to falling asleep. Research has also shown that there are certain driver characteristics such as demographic and other variables related to sleep, work, and driving patterns that appear to be associated with increased frequency of driving drowsy (McCartt, Ribner, Pack & Hammer, 1996). Another view suggests that excessive hours of work increase driver fatigue (Arnold et al., 1997), while others have identified daytime sleepiness to be a most highly predictive variable for falling asleep at the wheel. Other predictive variables were an arduous work schedule and older, long-time drivers (McCartt, Rohrbaugh, Hammer & Fuller, 2000). The effects of time of day are suggested by others to have an effect on increased vulnerability in sleep-related driving accidents, particularly in the early morning hours and mid-afternoon hours (Horne & Reyner, 1995, Kecklund & Akerstedt, 1994). It was also found that lack of awareness of important precursors of falling asleep as well as a reluctance to discontinue driving despite feeling tired, are likely contributors to sleepiness-related road crashes (Sagberg, 2001).
The purpose of the current study was to investigate more closely how the extent of road crashes among professional drivers as well as the prevalence of falling asleep while driving can be predicted on the basis of background and other work-related information about the drivers. The main hypotheses examined were that excessive hours spent on non-driving work and less hours of sleep obtained are positively related to falling asleep at the wheel and involvement in a road crash. This study will provide information: (a) to gain a better understanding of the safety issues in the transportation industry; and (b) to propose developing possible countermeasures related to road safety in professional drivers in Greece.
Section snippets
Sample
Between July and August of 2001, a sample of 317 professional drivers (233 truck drivers and 84 bus drivers) was questioned in order to obtain information on perceptions and behaviors related to drowsy driving. The sample's selection could not be randomly designed mainly because of the difficulty in obtaining an official list of all the professional drivers employed on the island of Crete.
Procedure
A large proportion of the interviews were conducted at places often visited by professional drivers during
Driver personal characteristics
All drivers interviewed in the survey were men. The average age of the drivers was 37 and the average driving experience 12.6 years. A large proportion of the drivers were single and most of them were employed as company drivers (Table 1).
Driver lifestyle patterns
Data reported regarding smoking and alcohol consumption indicate that almost one third of the participants do not smoke (29.3%) and approximately half of them do not consume alcohol of low or high concentration (38.8% and 54.9% respectively; Table 2, Table 3).
Logistic regression analyses
Logistic regression analyses of data were carried out to find out whether any of the variables related to the driver personal characteristics and lifestyle patterns, work and sleep schedules, work practices, or perceptions of fatigue, could predict the probability of falling asleep at the wheel as well as of involvement in a road crash. Various logistic models were run with “falling asleep at the wheel in the last 12 months” (recoded in dichotomous variable 0=never and 1=else) and “involved in
Discussion
The extent of the influence of sleepiness and fatigue in road crashes has always been difficult to identify. Self-reported driver data, such as those reported in the present study, provide an important means to expand our understanding of the scope and nature of drowsy driving.
With respect to the results of the present study, a large proportion of the participants were found to have obtained less than 7 hours of sleep on one or more days of the week prior to the interview, which means less
Georgia Tzamalouka, is an assistant professor in the Department of Social Work at the Technological Educational Institute of Crete (Greece). Her main research interests are in public health, safety and human factors.
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Georgia Tzamalouka, is an assistant professor in the Department of Social Work at the Technological Educational Institute of Crete (Greece). Her main research interests are in public health, safety and human factors.
Maria Papadakaki is a Research Assistant in the Department of Social Work at the Technological Educational Institute of Crete (Greece).
Joannes El. Chliaoutakis is a Professor in the Department of Social Work at the Technological Educational Institute of Crete (Greece). His main research interests are in health-related behaviors, road safety and questionnaire development.