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Free AccessSleep Hygiene

Sleep Quality and Motor Vehicle Crashes in Adolescents

Published Online:https://doi.org/10.5664/jcsm.27708Cited by:79

ABSTRACT

Study Objectives:

Sleep-related complaints are common in adolescents, but their impact on the rate of motor vehicle crashes accidents is poorly known. We studied subjective sleep quality, driving habits, and self-reported car crashes in high-school adolescents.

Methods:

Self-administered questionnaires (with items exploring driving habits) were distributed to 339 students who had a driver's license and attended 1 of 7 high schools in Bologna, Italy. Statistical analysis were performed to describe lifestyle habits, sleep quality, sleepiness, and their relationship with the binary dependent variable (presence or absence of car crashes) to identify the factors significantly affecting the probability of car crashes in a multivariate binary logistic regression model.

Results:

Nineteen percent of the sample reported bad sleep, 64% complained of daytime sleepiness, and 40% reported sleepiness while driving. Eighty students (24%), 76% of which were males, reported that they had already crashed at least once, and 15% considered sleepiness to have been the main cause of their crash. As compared with adolescents who had not had a crash, those who had at least 1 previous crash reported that they more frequently used to drive (79% vs 62%), drove at night (25% vs 9%), drove while sleepy (56% vs 35%), had bad sleep (29% vs 16%), and used stimulants such as caffeinated soft drinks (32% vs 19%), tobacco (54% vs 27%), and drugs (21% vs 7%). The logistic procedure established a significant predictive role of male sex (p < 0.0001; odds ratio = 3.3), tobacco use (p < 0.0001; odds ratio = 3.2), sleepiness while driving (p = 0.010; odds ratio = 2.1), and bad sleep (p = 0.047; odds ratio = 1.9) for the crash risk.

Conclusions:

Our results confirm the high prevalence of sleep-related complaints among adolescents and highlight their independent role on self-reported crash risk.

Citation:

Pizza F; Contardi S; Baldi Antognini A; Zagoraiou M; Borrotti M; Mostacci B; Mondini S; Cirignotta F. Sleep quality and motor vehicle crashes in adolescents. J Clin Sleep Med 2010;6(1):41-45.

INTRODUCTION

Sleep patterns and sleep disorders in young people are influenced by psychological, biologic, cultural, and social factors. Epidemiologic studies have proven the relationship between sleep habits and daytime behavior or cognitive functioning in adolescents, with a detrimental impact of poor sleep hygiene on performance.17 Sleep complaints are common during adolescence (ranging from 9.5% - 46%) and may represent clear-cut sleep disorders such as sleep disordered breathing, restless legs syndrome, narcolepsy, insomnia, or circadian rhythm sleep disorders or they may reflect lifestyle factors affecting sleep quality.816

BRIEF SUMMARY

Current Knowledge/Study Rationale: Young people are highly exposed to the risk of motor vehicle crashes. Sleep and driving habits and their relation with self-reported car accidents in adolescents were evaluated.

Study Impact: Bad sleep, sleepiness at the wheel, male sex and some unhealthy lifestyle habits increased the risk for car crashes among young drivers. Study results stress the need of educational programs for improving sleeping habits among adolescents.

Adolescents are physiologically predisposed to develop chronic sleep deprivation because of maturation changes of the circadian and homeostatic regulation of the sleep-wake cycle leading to a delay in the timing of sleep with consequent accumulation of chronic sleep debt.1,1722

The social environment (e.g., academic demands, extracurricular activities) further contributes to the tendency for adolescents to develop advanced sleep phase, which is more evident in adolescents than in prepubertal children. Despite sleep-research data indicating that adolescents require 9 to 10 hours of sleep per night, youths sleep significantly less.10,17,19 Moreover, even if adolescents typically extend sleep on weekends, they cannot compensate for the chronic sleep deprivation accumulated during weekdays.23

Despite the well-established impact of reduced or disturbed sleep on the ability to concentrate, school performance, behavior, memory, mood, and learning difficulties,24,2527 only a few studies have explored the role of sleepiness on the risk of motor vehicle crashes and injuries in young people.2830

Sleepiness is an important cause of car crashes, and young adults are involved in two thirds of all sleepiness-related crashes (SRC), especially those occurring late at night or early in the morning.29,31 Late-night driving, together with the sleep debt, the poor experience of how to cope with fatigue, and the insufficient driving ability may partially explain the high risk for SRC in young adults.3133 Previous studies have suggested that even if young people are aware of sleepiness-related risks, they do not correctly perceive sleepiness while driving.30 Therefore, the increased risk of SRC in adolescents has been attributed not only to their inadequate experience at wheel, but also to their tendency to adopt ineffective strategies against drowsiness, together with a propensity for enhanced risk-taking behaviors that seem to be influenced by sleepiness itself (e.g., driving over the speed limits).34 Moreover, a 1-hour delay in high-school start times has been shown to significantly reduce the risk of motor vehicle crashes through meaningful increases in night-time sleep.35

In summary, the actual literature shows an increased risk of adolescents having a SRC that is partially explained by the chronic sleep-deprivation hypothesis, but the individual factors such as sleep and sleepiness complaints or lifestyle habits associated with the SRC risk are poorly understood.

We performed a cross-sectional questionnaire-based study to explore the association of sleep complaints and life habits with self-reported car crashes in driving adolescents attending the last 2 years of 7 different high schools in Bologna.

Method

Participants and Questionnaire

Data were collected in the year 2004 by means of a self-administered sleep questionnaire for adolescents that was developed by Mary Carskadon, PhD, and coworkers (School Sleep Habits Survey),36 translated by F. Giannotti and F. Cortesi,1 and supplemented with questions on driving habits. The questionnaire comprised 71 multiple-choice items, including demographic characteristics, lifestyle habits (use of caffeinated beverages, alcohol, tobacco, and drugs), nocturnal sleep habits and symptoms suggesting sleep disorders (unrefreshing sleep, sleep disordered breathing, restless legs syndrome, hypnagogic hallucinations, sleep paralysis, sleepwalking, sleep terror, and insomnia), and a subjective report of daytime sleepiness. Driving habits and sleepiness at the wheel were evaluated by specific items exploring the frequency (and timing) of car use and car crashes, the perceived causes of vehicle crashes, and the respondents' behaviors toward sleepy driving.

Questionnaires were self-administered to students in their last 2 years at 1 of 7 high schools in Bologna, Italy, (4 classical/scientific and 3 technical high schools) who had signed a written informed consent to participate in the study. The questionnaires were anonymous, and students were informed that their answers could not have any influence on their driving licenses or school reports. Three hundred thirty-nine students with valid driving licenses completed the questionnaire, and the data were analyzed. This study is a research project on lifestyle, sleep habits, and sleepiness in adolescence supported by the Italian Ministry of Health.

Statistical analysis

Data collected were analyzed using the STATA-statistical package (StataCorp LP, College Station, TX). Starting from a descriptive statistical analysis (evaluating mean and standard deviation for quantitative outcomes, percentages for qualitative ones), we explored the dependence structure firsty between sleepiness and sleep habits and then between observed self-reported car crashes and several predictors, through the analysis of contingency tables in a bivariate setting (p < 0.05), together with χ2 statistical test or Fisher exact test, as appropriate, (p < 0.05) for association. Furthermore, we applied a logistic regression model, a statistical technique (within the generalized linear modeling approach) that can be used to describe the relationship between several independent variables (or predictors) and a binary dependent variable, i.e., the presence or absence of self-reported car crashes (p < 0.05). The forward-selection approach was used to identify the factors significantly affecting the probability of car crashes (namely, sex, driver characteristics, and sleep disorders) together with odds ratios (OR) and 95% confidence intervals (CI). An additional analysis for the fit of the model was performed using the Hosmer- Lemeshow test, in which actual outcomes are compared with the expected ones, given the selected model; low p values indicate a large deviation and therefore a bad fit to the data (p > 0.05, good fit).

Results

The study sample comprised 339 students, 58% of whom were men, aged 18 to 21 years (mean 18.4 ± 0.6) with a mean body mass index of 21.3 ± 2.5 kg/m2.

Sleep quality and sleepiness

Sixty-four percent of the subjects complained of excessive daytime sleepiness, as a moderate or severe problem occurring frequently or always. The situations in which students reported that they had commonly fallen asleep were watching television or listening to music (49%), reading or studying (32%), and traveling (46%). Conversely, they did not frequently complain of sleepiness while talking (3%), riding a bicycle or a motorcycle, (2%) and using a computer (8%). Moreover, they often used stimulants such as caffeinated soft drinks (23%), tea (53%), and tobacco (33%); 11% of the sample declared a daily abuse of alcohol or drugs.

Mean total sleep time differed between weekdays and weekends, 7.3 ± 0.9 versus 8.9 ± 1.8 hours respectively, and, even if extended during weekends, sleep time was still shorter than the participants' needs. In fact, students reported that their mean need of sleep was 9.2 ± 1.5 hours, but, on weekdays, only 20 students (6%) and, on weekends, 184 subjects (58%) slept 9 hours or more.

One hundred and thirty-seven students (40%) complained of difficulties in morning awakening; 201 subjects (59%) would like to wake up after 09:45, whereas only 22 (6%) had a morning circadian preference (before 07:45). A high percentage of students could be defined “evening-types”: 169 subjects (50%) felt well only in the evening, 131 (39%) would like to always go to bed after 00:30, and 156 (46%) reported problems when forced to get up at 06:00.

Students complained of sleep disturbances: bad sleep was reported by 64 subjects (19%). Symptoms suggesting a sleep disorder (restless leg syndrome [3%], periodic limb movements [12%], hypnagogic hallucinations [19%], sleep paralysis [2%], sleepwalking [2%], sleep terror [2%], and snoring [8%]) were reported, even if the students were not previously informed about sleep disorders. A high percentage of students complained of sleep fragmentation: 152 subjects (45%) woke up at least once during the night with trouble falling asleep again (130 students [38%] needed between 5 and 20 minutes and 13 [3%] more than 20 minutes to return to sleep).

There was a significant association of daytime sleepiness with the subjective report of bad sleep (p = 0.011), sleep paralysis (p = 0.008), restless leg syndrome (p = 0.020) and periodic limb movements (p = 0.001), whereas there was no association between daytime sleepiness and body mass index, snoring, hypnagogic hallucinations, sleepwalking, or sleep terror.

Driving Habits and Sleepiness While Driving

Two hundred and thirty-four students (66%) used to drive at least 4 to 5 days per week, and 230 (68%) also drove at night once or twice per week.

One hundred and thirty-five (40%) of the students reported that they experienced sleepiness while driving a car; nevertheless, 109 (81%) of them used to keep on driving and adopted the following countermeasures to drowsiness: turning up the radio (39 students, 36%), opening the window (27 students, 25%), singing (14 students, 13%), and moving on the seat (6 students, 5%). Only 26 of the subjects who reported experiencing sleepiness while driving a car (19%) used to stop driving because of sleepiness and tried to fight it by walking (11 subjects, 42%), drinking coffee (8 subjects, 31%), sleeping a few minutes (4 subjects, 15%), or washing their faces (1 subject, 4%). Despite all these countermeasures, 28 subjects out of 339 (8%) reported near-miss crashes that they subjectively ascribed to sleepiness.

Eighty students (24%), 76% of whom were men, had already crashed at least once. Fifteen percent of them considered sleepiness to be the main cause of their car crash; 31% attributed the crash to speed, and 14% to alcohol consumption.

Data from students who had crashed at least once were compared with those of other respondents to examine car habits, sleepiness, sleep habits, and lifestyle habits (Table 1). Those who had crashed were more frequently to be men; more likely to frequently drive a car, especially during the night; and more likely to report experiencing sleepiness while driving. Moreover, they more often reported bad sleep and the use of caffeinated soft drinks, tobacco, and drugs. Conversely, there was no difference regarding daytime sleepiness or symptoms of specific sleep disorders in the 2 groups.

Table 1 Driving habits, sleep, sleepiness, and lifestyle habits in students with driving licenses

CrashesNo crashesp Value
Driving at least once a week79620.007a
Driving at night259<0.0001a
Sleepiness while driving56350.001a
Bad sleep29160.010a
Periodic limb movements31280.687
Restless legs syndrome1250.064
Snoring1370.083
Hypnagogic hallucinations42380.484
Sleep paralysis1380.172
Sleepwalking420.393
Sleep terror320.627
Sleepiness61650.428
Caffeinated soft drink32190.021a
Coffee or tea55530.720
Tobacco5427<0.0001a
Alcohol1490.169
Drugs217<0.0001a
Men7653<0.0001*

Data are presented as percentages of students who reported that they had or had not been involved in a motor vehicle crash. χ2 statistical test;

ap value < 0.05.

Logistic regressions analysis confirmed the relationship between the binary dependent variable (presence or absence of self-reported car crashes) and the predictors identified by the forward selection approach: male sex, sleepiness at the wheel, bad sleep, and use of tobacco. There was an increased risk of car accidents in men (p < 0.0001; OR = 3.3, CI = 1.8-6.1), those who experienced sleepiness at the wheel (p = 0.010, OR = 2.1, CI = 1.2-3.6), those who reported having bad sleep (p = 0.047, OR = 1.9, CI = 1-3.6), and smokers (p < 0.0001, OR = 3.2, CI = 1.8-5.5). The Hosmer-Lemeshow test showed a good fit of the model (χ2 = 2.26, p = 0.9441) (Table 2).

Table 2 Regression table showing the final results of the logistic regression model

CoefficientStandard ErrorzP > |z|95% CI
Male sex1.19680.30903.870.0000.59121.8023
Sleepiness at the wheel0.72290.27912.590.0100.17591.2699
Bad sleep0.64230.32281.990.047 0.00961.2749
Smoking1.15970.28294.100.000 0.60521.7143
Constant-2.88260.3399 -8.480.000-3.5488-2.2163
ORStandard ErrorzP > |z|95% CI
Male sex3.30941.02253.870.0001.80626.0639
Sleepiness at the wheel2.06040.57502.590.0101.19233.5604
Bad sleep1.90080.61351.990.0471.00973.5784
Smoking3.18910.90244.100.0001.83155.5530

Table 2 shows the coefficients (upper part) of each covariate (male sex, sleepiness at the wheel, bad sleep, smoking), and the odds ratios (OR) (lower part) in which the dependent outcome variable is self-reported car crash in the final logistic regression model.

Discussion

In a cross-sectional setting, we explored sleep habits and their relationships with self-reported car crashes in Italian adolescent students who had a regular driving license. Our key findings are (1) adolescents frequently complained of poor nocturnal sleep and daytime sleepiness; (2) bad sleep and sleepiness at the wheel, together with male sex and unhealthy lifestyle habits (smoking), significantly increased the risk for car crashes among young drivers.

Our results regarding sleep quality are in line with the current knowledge.812 Adolescence is frequently characterized by insufficient sleep and consequent sleepiness, as final outcomes of intrinsic and extrinsic factors. During puberty, changes occur in hormone and circadian timing systems, leading to a biologic tendency to sleep phase advance, with consequent difficulty in getting up early in the morning and a preference for staying up late in the evening.1921 Social and environmental factors also contribute to behaviorally induced insufficient sleep.12 During weekdays, the required time for school attendance (with early awakening time) and studying, together with social activities (in the afternoon and evening hours), decrease the time for sleep and lead to chronic sleep debt. Young people try to compensate by extending their sleep period during the weekends; nevertheless, the final result is a clear-cut chronic (and frequently not subjectively perceived) sleep deprivation.23

Adolescents also suffer from different clinical sleep disorders.816 We did not aim to deeply investigate these diagnostic aspects by means of a self-reported questionnaire, but we still had information through questions addressing symptoms suggestive of sleep disordered breathing, restless legs syndrome, hypnagogic hallucinations, sleep paralysis, sleepwalking, and sleep terror.

The most common counterpart of unresfreshing sleep was daytime sleepiness, reported by 65% of our students. They reported falling asleep while traveling, watching television or listening to music, and reading or studying, and, sometimes, they also used stimulants (caffeinated soft drinks, tea, and tobacco) to maintain alertness.

We explored the associations among sleep quality, daytime sleepiness, and driving. Adolescent drivers crash more often than do experienced middle-aged drivers.37 Their high crash rate (almost 3 times) has been related to young age, with a propensity for enhanced risk-taking behaviors, and overall driving inexperience.34 Driving at night, carrying teenage passengers, and traveling faster than posted speed limits or than reasonable for bad weather or road conditions, are the commonly suggested causes of the increased risk of motor vehicle crashes in young and novice drivers.30,34 The contributing role of sleepiness in car crashes among young people has been poorly explored. Adolescents have a high risk of being involved in a SRC because they drive late at night, and, consequently, they are supposed to be sleep deprived.15,2830 The chronic-sleep-deprivation hypothesis has been further confirmed in a recent study that proved the efficacy of a 1-hour delay in high-school start times on extending night-time sleep and reducing the rate of motor vehicle crashes.35

Our students recognized that sleepiness was a leading cause of car crashes, showing awareness of the problem; nevertheless, they did not adequately prevent and counteract the occurrence of sleepiness while driving, as has been previously reported.34 In fact, only a minority of subjects used to stop driving and sleep for some minutes, whereas the most commonly adopted strategies such as singing, listening to music, and opening the window, were certainly inadequate. Moreover, even the students who stopped driving (showing awareness of the problem) frequently adopted useless or short-lasting countermeasures to fight against drowsiness (e.g., washing their face, drinking coffee, or walking). We also emphasize the differences of sleep and lifestyle habits between students who crashed and those who did not, the former being more frequently male smokers who experienced sleepiness at the wheel and complained of having bad sleep. Consistent with previously reported data, we confirm that men were more likely than women to crash with a higher driving exposure, and other authors have suggested causes that include minor risk perception, speeding, and following to closely.34 We outline the relationships among poor sleep quality, sleepiness, and self-reported car crashes, underlining the importance of sleepiness as a primary contributing factor for car crash risk among adolescents. Regarding the use of tobacco, we believe that it could be regarded as an indirect estimate of unhealthy lifestyle habits, as well as a behavior to counteract sleepiness.

We acknowledge some limitations to our study. First, our results were based on the students' self-reports, in the absence of confirmatory information such as sleep laboratory recordings, parents' and teachers' ratings, and standardized test batteries, that would have allowed us to perform a more comprehensive and reliable assessment. Nevertheless, previous studies comparing subjective reports to objective measurements have shown that self-reported data well represent sleep habits and sleepiness.38 Second, we do not know how our sample represents the Italian population of adolescent students having a regular driving license, but the congruence between our findings on sleep and sleepiness and those from other studies suggested that the sample was typical of adolescents.816 We suggest that future studies investigate the contribution of socioeconomic and cultural background in this field. Third, our study had a cross-sectional design. Therefore, the outcome variable (i.e., self-reported car crashes) was collected at the same time as the explanatory factors (e.g., bad sleep), which injected potential biases (e.g., recall bias, reverse causation) that should be addressed by further prospective cohort studies. Fourth, instead of using validated crashes (e.g., police records), we relied on self-reports of car crashes, which could have been overestimated or underestimated. Nevertheless, our questionnaires were anonymous, and students were assured that their answers could not have any influence on their driving licenses or school reports.

In conclusion, our young students frequently complain of symptoms of sleep disorders (insomnia, sleep phase advance, sleep disordered breathing, restless legs syndrome, daytime sleepiness) and suffer from chronic sleep deprivation. Poor sleep quality, together with sleepiness at the wheel, significantly increase the risk of car crashes in our population. Inadequate sleep hygiene could have negative effects on daytime functioning in adolescents; therefore, education programs on sleep issues and on the dangers of sleep deprivation targeted toward young people are warranted. Previous reports of education programs in schools have shown subsequent increased students' perception of sleep as a problem interfering with different aspects of their life. Cortesi and coworkers gave a 2-hour interactive sleep-education course to 540 Italian high-school students, documenting an improvement in knowledge and also a retention of information about sleep at a 3-month follow-up survey, mainly for the sleep need and the sleep debt, that could be considered the most useful information for improving healthy sleeping habits.39 Brown and coworkers further evaluated the effectiveness of a sleep treatment and education program for university students, reporting a significant improvement in sleep quality and sleep hygiene after 6 weeks of treatment.40 Adolescence is a life period characterized by significant changes in biologic rhythms and social activities, in which we highlight the importance of sleep-related factors, to correctly educate young students to achieve a better quality of life.

DISCLOSURE STATEMENT

This was not an industry supported study. The authors have indicated no financial conflicts of interest.

REFERENCES

  • 1 Giannotti FCortesi FSebastiani TOttaviano SCircadian preference, sleep and daytime behaviour in adolescenceJ Sleep Res2002111919, 12220314

    CrossrefGoogle Scholar
  • 2 Wolfson ARCarskadon MASleep schedules and daytime functioning in adolescentsChild Dev19986987587, 9768476

    CrossrefGoogle Scholar
  • 3 Wolfson ARCarskadon MAUnderstanding adolescents' sleep patterns and school performance: a critical appraisalSleep Med Rev20037491506, 15018092

    CrossrefGoogle Scholar
  • 4 Wolfson ARCarskadon MAAcebo C, et al.Evidence for the validity of a sleep habits survey for adolescentsSleep2003262136, 12683482

    CrossrefGoogle Scholar
  • 5 Chen MYWang EKJeng YJAdequate sleep among adolescents is positively associated with health status and health-related behaviorsBMC Pub Health2006659, 16524482

    CrossrefGoogle Scholar
  • 6 Oginska HPokorski JFatigue and mood correlates of sleep length in three age-social groups: School children, students, and employeesChronobiol Int200623131728, 17190716

    CrossrefGoogle Scholar
  • 7 Smaldone AHonig JCByrne MWSleepless in America: inadequate sleep and relationships to health and well-being of our nation's childrenPediatrics2007119S2937, 17272582

    CrossrefGoogle Scholar
  • 8 Liu XUchiyama MOkawa MKurita HPrevalence and correlates of self-reported sleep problems among Chinese adolescentsSleep20002318

    CrossrefGoogle Scholar
  • 9 Liu XLiu LOwens JAKaplan DLSleep patterns and sleep problems among schoolchildren in the United States and ChinaPediatrics20051152419, 15866858

    CrossrefGoogle Scholar
  • 10 Millman RPAmerican Academy of Pediatrics. Excessive sleepiness in adolescents and young adults: causes, consequences, and treatment strategiesPediatrics2005115177486, 15930245

    CrossrefGoogle Scholar
  • 11 Meltzer LJMindell JASleep and sleep disorders in children and adolescentsChild Adolesc Psychiatr Clin N Am200629105976

    Google Scholar
  • 12 Moore MMeltzer LJThe sleepy adolescent: causes and consequences of sleepiness in teensPaediatr Respir Rev2008911421, 18513671

    CrossrefGoogle Scholar
  • 13 Thorpy MCurrent concepts in the etiology, diagnosis and treatment of narcolepsySleep Med20012517, 11152978

    CrossrefGoogle Scholar
  • 14 Thorpy MJKorman ESpielman AJGlovinsky PBDelayed sleep phase syndrome in adolescentsJ Adolesc Health Care19989227, 3335467

    CrossrefGoogle Scholar
  • 15 Carskadon MAAdolescent sleepiness: increased risk in a high-risk populationAlcohol Drug Driving1990531728

    Google Scholar
  • 16 Bootzin RStevens SAdolescents, substance abuse, and the treatment of insomnia and daytime sleepinessClin Psych Rev20052562944

    CrossrefGoogle Scholar
  • 17 Klerman EBDijk D-JInterindividual variation in sleep duration and its association with sleep dept in young adultsSleep20052812539, 16295210

    CrossrefGoogle Scholar
  • 18 Taylor DJJenni OGAcebo CCarskadon MASleep tendency during extended wakefulness: insights into adolescent sleep regulation and behaviorJ Sleep Res20051423944, 16120098

    CrossrefGoogle Scholar
  • 19 Carskadon MAAcebo CRegulation of sleepiness in adolescents: update, insights, and speculationSleep20022560614, 12224839

    CrossrefGoogle Scholar
  • 20 Goel NKim HLao RPGender differences in polysomnographic sleep in young healthy sleepersChronobiol Int20052290515, 16298775

    CrossrefGoogle Scholar
  • 21 Russo PMBruni OLucidi FFerri RViolani CSleep habits ad circadian preference in Italian children and adolescentsJ Sleep Res2007161639, 17542946

    CrossrefGoogle Scholar
  • 22 Jenni OGAchermann PCarskadon MAHomeostatic sleep regulation in adolescentsSleep200528144654, 16335485

    CrossrefGoogle Scholar
  • 23 Wittmann MDinich JMerrow MRoenneberg TSocial jetlag: misalignment of biological and social timeChronobiol Int200623497509, 16687322

    CrossrefGoogle Scholar
  • 24 Hoecker JLAdolescent sleep deprivationIndian Pediatr2008451812, 18367761

    Google Scholar
  • 25 Taras HPotts-Datema WSleep and student performance at schoolJ Sch Health20052524854, 16102087

    CrossrefGoogle Scholar
  • 26 Ellenbogen JMHu PTPayne JDTitone DWalker MPHuman relational memory requires time and sleepProc Natl Acad Sci USA200710477238, 17449637

    CrossrefGoogle Scholar
  • 27 Hill CMHogan AMKarmiloff-Smith ATo sleep, perchance to enrich learning?Arch Dis Child20079263743, 17588978

    CrossrefGoogle Scholar
  • 28 Akerstedt TKecklund GAge, gender and early morning highway accidentsJ Sleep Res20011010510, 11422724

    CrossrefGoogle Scholar
  • 29 Garbarino SNobili LBeelke MDe Carli FFerrillo FThe contributing role of sleepiness in highway vehicle accidentsSleep2001242036, 11247057

    CrossrefGoogle Scholar
  • 30 Lucidi FRusso PMMallia LDevoto ALauriola MViolani CSleep-related car crashes: risk perception and decision-making processes in young driversAcc Anal Prev2006383029

    CrossrefGoogle Scholar
  • 31 Horne JAReyner LADriver sleepinessJ Sleep Res19954239, 10607207

    CrossrefGoogle Scholar
  • 32 Philip PGhorayeb IStoohs R, et al.Determinants of sleepiness in automobile driversJ Psychosomatic Res19964127988

    CrossrefGoogle Scholar
  • 33 Connor JNorton RAmeratunga S, et al.Driver sleepiness and risk of serious injury to car occupants: population based case control studyBMJ20023241125, 12003884

    CrossrefGoogle Scholar
  • 34 Braitman KAKirley BBMcCartt ATChaudhary NKCrashes of novice teenage drivers: characteristics and contributing factorsJ Safety Res2008394754, 18325416

    CrossrefGoogle Scholar
  • 35 Danner FPhillips BAdolescent sleep, school start times, and teen motor vehicle crashesJ Clin Sleep Med2008155335, 19110880

    LinkGoogle Scholar
  • 36 Carskadon MASeifer RAcebo CReliability of six scales in a sleep questionnaire for adolescentsSleep Res199120421

    Google Scholar
  • 37 Insurance Institute for Highway Safety [IIHS]. Unpublished analysis of 2000–01 data from the Fatality Analysis Reporting System and National Household Travel Survey. Arlington, VA: Author. 2006a

    Google Scholar
  • 38 Carskadon MAAcebo CWolfson CTzischinsky ODarley CREM sleep on MSLTs in high school students is related to circadian phaseSleep Res199726705

    Google Scholar
  • 39 Cortesi FGiannotti FSebastiani TBruni OOttaviano SKnowledge of sleep in Italian high school students: pilot-test of a school-based sleep educational programJ Adolesc Health20043434451, 15041005

    CrossrefGoogle Scholar
  • 40 Brown FCBuboltz WCSoper BDevelopment and evaluation of the Sleep Treatment and Education Program for Students (STEPS)J Am Coll Health2006542317, 16450848

    CrossrefGoogle Scholar