Table 3.
Published year | Study type | Nation | Population | Most independent variables | Dependent variables | Intervention | Effect* |
---|---|---|---|---|---|---|---|
Panel A: Interventions include change in the behaviors | |||||||
2012 | Cross-sectional24 | Australia | Healthy individuals averaged 21.8 years old | Time (hours per day), time awake | Deviation from the line side of the road |
|
Fair |
2011 | Cross-sectional25 | Israel | Professional and non-professional drivers | Age, sex, BMI, education, socioeconomic status, vehicle type, driving license type, driving history, location | Reduce fatigue and sleepiness while driving |
|
Good |
2007 | Systematic review of cost-effectiveness30 | USA | Articles related to OSAS and traffic accidents from 1980 to 2003 | Events related with OSAS | Economic costs, quality of life | Treatment of drivers with sleep apnea syndrome (OSAS) | Fair |
2004 | Cross-sectional34 | Netherland | – | – | – | Do not use sleep medications | Fair |
1998 | Cross-sectional37 | USA | Experts of driving and traffic safety | Different environmental conditions such as wind and driving variables | Drowsiness |
|
Fair |
Panel B: Interventions include Changes in the environment | |||||||
2013 | Interventional23 | UK | Group 1: persons with night shifts Group 2: drivers over 45 years |
Night shift work, age, driving after eating lunch | Fatigue and drowsiness | Rumble strips, V-shaped lines (chevrons), variable message signs installation | Good |
2011 | Interventional26 | Japan | Drivers with a mean age of 32 years | Open-eyes SEM and closed-eyes SEM | Number of traffic accidents | Detection of slow eye movement while driving | Good |
2009 | Interventional27 | Palestine | Students aged 22–30 years with 5 years of driving experience | Interactive cognitive task | SOFI | Interactive cognitive task | Good |
2009 | Interventional28 | USA | Drivers | The lack of sleep | The root-mean-square error, the effective time delay |
|
Fair |
2008 | Interventional29 | China | Driver who have driving experience | Environmental changes in the road | Drowsiness based on SSS | Removing the road from steady state | Good |
2006 | Interventional31 | USA Ford company | Adults with sleep deprivation | Methods of LDW like Steering Wheel Torque | physiological measure of eye closure, Karolinska Sleepiness Scale | Different methods alarming deviations from the line side of the road (Lane departure warning) | Fair |
2005 | Interventional32 | Germany | Healthy persons aged 22–27 years | Having the Lane Departure Warning System | Reaction time during sleepiness, electro dermal activity | Lane Departure Warning System | Good |
2004 | Case–control33 | China | Young drivers have a full driving license | Physically tired, lazy, want to lie down, irritable, no energy | Reaction time, right rate | Magnitopuncture stimulation method to reduce sleepiness in drivers | Good |
2004 | Interventional11 | England | Truck drivers | Driving schedule | CAS Fatigue Score | Use of Circadian Alertness Simulator (30) for truck drivers | Fair |
2001 | Interventional17 | Germany | Students aged 22–28 years, male | Stress, fog, horizontal and vertical curves | Fatigue and drowsiness |
|
Good |
2001 | Interventional36 | Germany | Persons with Commercial Driving License | Existence of drowsiness detection and warning devices | Fatigue and sleepiness based on the eyes situation | Drowsiness detection and warning devices like Copilot-DDI | Good |
1999 | Interventional14 | Netherland | Driver aged 22–55 years | Driving duration in 24 h, listen to the radio, drinking coffee | Fatigue and drowsiness | Electronic devices of drowsiness detection such as game box | Good |
Panel C: Interventions include educational programs | |||||||
2007 | Systematic review30 | USA | Primary articles | Various environmental and demographic variables | Awareness about fatigue and sleepiness |
|
Fair |
* The effect is assessed based on likert scale.