Sleep-Deprived Young Drivers and the Risk for Crash

Martiniuk, Alexandra; Senserrick, Teresa; Lo, Serigne; Williamson, Ann; Du, Wei; Grunstein, Ronald R.; Woodward, Mark; Glozier, Nick; Stevenson, Mark; Norton, Robyn; Ivers, Rebecca

doi:10.1001/jamapediatrics.2013.1429

Cited by 104 publications

(61 citation statements)

References 50 publications

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“…Carter et al [24], using a measure of SD similar to that used in our study, found that self-perceived SD was directly related to accident occurrence in males, both in the general population and in professional drivers. Our results are also consistent with those of other studies on car drivers that demonstrated an association between the amount of hours of sleep per night and MVA [47] or NMA rates [48]. A recent population-based case-control study reported that drivers with 6 hours or less of nocturnal sleep during the previous 3 months were at significantly increased risk of MVAs (> 69%) when compared to those who had slept for more than 6 hours [49].…”

Section: Discussionsupporting

confidence: 93%

Sleep Apnea, Sleep Debt and Daytime Sleepiness Are Independently Associated with Road Accidents. A Cross-Sectional Study on Truck Drivers

et al. 2016

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BackgroundRecent research has found evidence of an association between motor vehicle accidents (MVAs) or near miss accidents (NMAs), and excessive daytime sleepiness (EDS) or its main medical cause, Obstructive Sleep Apnea (OSA). However, EDS can also be due to non-medical factors, such as sleep debt (SD), which is common among professional truck drivers. On the opposite side, rest breaks and naps are known to protect against accidents.Study ObjectivesTo investigate the association of OSA, SD, EDS, rest breaks and naps, with the occurrence of MVAs and NMAs in a large sample of truck drivers.Methods949 male truck drivers took part in a cross-sectional medical examination and were asked to complete a questionnaire about sleep and waking habits, risk factors for OSA and EDS.ResultsMVAs and NMAs were reported by 34.8% and 9.2% of participants, respectively. MVAs were significantly predicted by OSA (OR = 2.32 CI95% = 1.68–3.20), SD (OR = 1.45 CI95% = 1.29–1.63), EDS (OR = 1.73 CI95% = 1.15–2.61) and prevented by naps (OR = 0.59 CI95% = 0.44–0.79) or rest breaks (OR = 0.63 CI95% = 0.45–0.89). NMAs were significantly predicted by OSA (OR = 2.39 CI95% = 1.47–3.87) and SD (OR = 1.49 CI95% = 1.27–1.76) and prevented by naps (OR = 0.52 CI95% = 0.32–0.85) or rest breaks (OR = 0.49 CI95% = 0.29–0.82).ConclusionsWhen OSA, SD or EDS are present, the risk of MVAs or NMAs in truck drivers is severely increased. Taking a rest break or a nap appear to be protective against accidents.

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Section: Discussionsupporting

confidence: 93%

Sleep Apnea, Sleep Debt and Daytime Sleepiness Are Independently Associated with Road Accidents. A Cross-Sectional Study on Truck Drivers

et al. 2016

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“…4 However, research suggests that sleep quantity and quality may both matter. 2, 3 For example, poor sleep quality 23 and shorter sleep duration 24, 25 have been independently associated with motor vehicle accidents and unintentional injuries in adolescents. The Healthy People 2020 target to increase the proportion of high school students who get sufficient sleep is measured by the proportion of adolescents who self-report getting at least 8 hours of sleep on an average school night in the YRBS.…”

Section: Discussionmentioning

confidence: 99%

Social determinants of inadequate sleep in US children and adolescents

Hawkins

Takeuchi

2016

Public Health

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Background and objectives Despite recognized disparities in child health outcomes associated with sleep, the majority of research has been based on small, homogeneous samples. Using a nationally-representative sample of US children and adolescents, we examined trends and social determinants of inadequate sleep across age groups. Study design Comparison of cross-sectional studies. Methods Our study used the 2003 (n=68,418), 2007 (n=63,442), and 2011/12 (n=65,130) waves of the National Survey of Children’s Health, a nationally-representative survey of 6-17-year-olds. Parents reported whether the child had inadequate sleep (0-6 days of not getting enough sleep versus 7 days). Results From 2003 through 2011/12, inadequate sleep increased from 23 to 36% among 6-9-year-olds, 30 to 41% among 10-13-year-olds, and 41 to 49% among 14-17-year-olds. Among 10-17-year-olds, those from households with more than a high school degree were more likely to have inadequate sleep (adjusted ORs 1.19-1.22). Although for 10-13-year-olds there was a gradient in inadequate sleep across income (aOR 1.20-1.34), for 14-17-year-olds, only those from the two highest income levels were more likely to have inadequate sleep (aOR 1.28-1.37). Parent report that neighbors did not watch out for other’s children was associated with an increased risk for inadequate sleep across all ages (aORs 1.13-1.26). Conclusions Inadequate sleep occurred as young as age 6 years and increased with age, became more prevalent, and was socially patterned. In order to prevent inadequate sleep across the life course, surveillance and monitoring is needed across all age groups to identify critical periods for intervention

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“…Chronic sleep loss in adolescents has also been linked to poor judgment, lack of motivation, and inattention (Gradisar, Terrill, Johnston, & Douglas, 2008; Owens, 2014; Wolfson & Carskadon, 1998), and consequently with an increase in risk-taking behaviors, such as drinking and driving, smoking, and delinquency (Catrett & Gaultney, 2009; O’Brien & Mindell, 2005). Driving while drowsy is a frequent complaint among older adolescents, and daytime sleepiness in this demographic has been associated with an increased rate of motor vehicle accidents (Martiniuk et al, 2013; Owens, 2014; Pizza et al, 2010). …”

Section: Introductionmentioning

confidence: 99%

Adolescent Sleep and the Impact of Technology Use Before Sleep on Daytime Function

Johansson

Petrisko

Chasens

2016

Journal of Pediatric Nursing

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Purpose Technology has become pervasive in our culture, particularly among adolescents. The purpose of this study is to examine associations between use of technology before sleep and daytime function in adolescents. Design and Methods This study is a secondary analysis of respondents aged 13 to 21 years (N= 259) from the 2011 National Sleep Foundation’s Sleep in America Poll. The survey included questions on demographics, sleep habits, and use of technology in the hour before bedtime. Daytime sleepiness was assessed with the Epworth Sleepiness Scale (ESS). Student’s t-tests, Mann-Whitney U, and Fischer’s exact tests were performed to detect differences in demographics, sleep duration, and technology use in the total sample, and between respondents with “adequate” compared to “inadequate” sleep. Correlations were calculated between technology frequency and daytime function. Results Adolescents had mean sleep duration of 7.3±1.3 hours. Almost all respondents (97%) used some form of technology before sleep. Increased technology use and the frequency of being awoken in the night by a cell phone were significantly associated with waking too early, waking unrefreshed, and daytime sleepiness (p<0.05). Adolescents who reported “inadequate” sleep had shorter sleep duration, greater frequency of technology use before bedtime, feeling unrefreshed on waking, and greater daytime sleepiness than those reporting “adequate” sleep (all p-values<0.05). Conclusion Technology use before sleep by adolescents had negative consequences on nighttime sleep and on daytime function. Practice Implications Healthcare professionals who interact with adolescents should encourage technology to be curtailed before bedtime and for adolescents to value obtaining adequate sleep.

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Sleep-Deprived Young Drivers and the Risk for Crash

Cited by 104 publications

References 50 publications

Sleep Apnea, Sleep Debt and Daytime Sleepiness Are Independently Associated with Road Accidents. A Cross-Sectional Study on Truck Drivers

Sleep Apnea, Sleep Debt and Daytime Sleepiness Are Independently Associated with Road Accidents. A Cross-Sectional Study on Truck Drivers

Social determinants of inadequate sleep in US children and adolescents

Adolescent Sleep and the Impact of Technology Use Before Sleep on Daytime Function

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