ArticleSleep2012
Assessing sleepiness and sleep disorders in Australian long-distance commercial vehicle drivers: self-report versus an "at home" monitoring device.
Article in Sleep, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 4 syntheses or guidelines pooled it, 57 citations in OpenAlex.
- Cardiometabolic risk factors and mental health status among truck drivers: a systematic review.BMJ open · 2020Pooled it
- A systematic review of pharmacists performing obstructive sleep apnea screening services.International journal of clinical pharmacy · 2016Pooled it
- Pooled it
- Pooled it
- A comparison of screening methods for sleep disorders in Australian community pharmacies: a randomized controlled trial.PloS one · 2014Trial
- Moderate-to-Severe OSA and Objective Drowsiness Are Associated with Driving-Related Accidents, but Not Subjective Sleepiness: A Simulator Study.Journal of clinical medicine · 2026Article
- Obesity hypoventilation syndrome and risk of road traffic accidents.Sleep & breathing = Schlaf & Atmung · 2025Article
- Energy drinks in Tamale: Understanding youth perceptions, consumption patterns, and related factors.PloS one · 2024Article
- Unravelling the Complexity of Irregular Shiftwork, Fatigue and Sleep Health for Commercial Drivers and the Associated Implications for Roadway Safety.International journal of environmental research and public health · 2022Review
- Actigraphy prior to Multiple Sleep Latency Test: nighttime total sleep time predicts sleep-onset latency.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022Article
- Mental Health in Student Athletes: Associations With Sleep Duration, Sleep Quality, Insomnia, Fatigue, and Sleep Apnea Symptoms.Athletic training & sports health care · 2021Article
- Article
- The STOPBANG score is effective for obstructive sleep apnea syndrome screening and correlates with its features, in a sub-Saharan African population.The Pan African medical journal · 2020Article
- Sleep deficiency and motor vehicle crash risk in the general population: a prospective cohort study.BMC medicine · 2018Article
- Sleep quality in long haul truck drivers: A study on Iranian national data.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2016Article
- Screening commercial drivers for obstructive sleep apnea: translation and validation of Serbian version of Berlin Questionnaire.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016Article
- Obstructive sleep apnea, health-related factors, and long distance heavy vehicle crashes in Western Australia: a case control study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2015Article
- Fatigued on Venus, sleepy on Mars-gender and racial differences in symptoms of sleep apnea.Sleep & breathing = Schlaf & Atmung · 2015Article
- Excessive daytime sleepiness increases the risk of motor vehicle crash in obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2013Article
- Sleep medicine - prevalent and relevant.Clinical medicine (London, England) · 2013Article
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
9 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectivesAs obstructive sleep apnea (OSA) is associated with a higher risk of motor vehicle crashes, there is increasing regulatory interest in the identification of commercial motor vehicle (CMV) drivers with this condition. This study aimed to determine the relationship between subjective versus objective assessment of OSA in CMV drivers.
designCross-sectional survey. SETTINGS: Heavy vehicle truck stops located across the road network of 2 large Australian states.
participantsA random sample of long distance commercial vehicle drivers (n = 517).
interventionsNone. MEASUREMENTS AND
resultsDrivers were interviewed regarding their driving experience, personal health, shift schedules, payments, and various questions on sleep and tiredness in order to describe their sleep health across a range of variables. In addition, home recordings using a flow monitor were used during one night of sleep. Only 4.4% of drivers reported a previous diagnosis of sleep apnea, while our at home diagnostic test found a further 41% of long-distance heavy vehicle drivers likely to have sleep apnea. The multivariable apnea prediction index, based on self-report measures, showed poor agreement with the home-monitor detected sleep apnea (AUC 0.58, 95%CI = 0.49-0.62), and only 12% of drivers reported daytime sleepiness (Epworth Sleepiness Scale score > 10). Thirty-six percent of drivers were overweight and a further 50% obese; 49% of drivers were cigarette smokers.
conclusionsSleep apnea remains a significant and unrecognized problem in CMV drivers, who we found to have multiple health risks. Objective testing for this sleep disorder needs to be considered, as symptom reports and self-identification appear insufficient to accurately identify those at risk.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.