Sleepiness, sleep-disordered breathing, and accident risk factors in commercial vehicle drivers

Sleep-disordered breathing and excessive sleepiness may be more common in commercial vehicle drivers than in the general population. The relative importance of factors causing excessive sleepiness and accidents in this population remains unclear. We measured the prevalence of excessive sleepiness and sleep-disordered breathing and assessed accident risk factors in 2,342 respondents to a questionnaire distributed to a random sample of 3,268 Australian commercial vehicle drivers and another 161 drivers among 244 invited to undergo polysomnography. More than half (59.6%) of drivers had sleep-disordered breathing and 15.8% had obstructive sleep apnea syndrome. Twenty-four percent of drivers had excessive sleepiness. Increasing sleepiness was related to an increased accident risk. The sleepiest 5% of drivers on the Epworth Sleepiness Scale and Functional Outcomes of Sleep Questionnaire had an in-creased risk of an accident (odds ratio [OR] 1.91, p = 0.02 and OR 2.23, p < 0.01, respectively) and multiple accidents (OR 2.67, p < 0.01 and OR 2.39, p = 0.01), adjusted for established risk factors. There was an increased accident risk with narcotic analgesic use (OR 2.40, p < 0.01) and antihistamine use (OR 3.44, p = 0.04). Chronic excessive sleepiness and sleep-disordered breathing are common in Australian commercial vehicle drivers. Accident risk was related to increasing chronic sleepiness and antihistamine and narcotic analgesic use.

Subjective and predicted sleepiness while driving in young adults

Sleepiness is a significant contributor to car crashes and sleepiness related crashes have higher mortality and morbidity than other crashes. Young adult drivers are at particular risk for sleepiness related car crashes. It has been suggested that this is because young adults are typically sleepier than older adults because of chronic sleep loss, and more often drive at times of increased risk of acute sleepiness. This prospective study aimed to determine the relationship between predicted and perceived sleepiness while driving in 47 young-adult drivers over a 4-week period. Sleepiness levels were predicted by a model incorporating known circadian and sleep factors influencing alertness, and compared to subjective ratings of sleepiness during 25 18 driving episodes. Results suggested that young drivers frequently drive while at risk of crashing, at times of predicted sleepiness (>7% of episodes) and at times they felt themselves to be sleepy (>23% of episodes). A significant relationship was found between perceived and predicted estimates of sleepiness. However, the participants nonetheless drove at these times. The results of this study may help preventative programs to specifically target factors leading to increased sleepiness when driving (particularly time of day), and to focus interventions to stop young adults from driving when they feel sleepy. (c) 2005 Elsevier Ltd. All rights reserved.

Common causes of sleep disruption and daytime sleepiness: childhood sleep disorders II

There are strong associations between childhood sleep disorders and behavioural, concentration and mood problems. Sleep disorders caused and maintained by behavioural factors (eg, sleep-onset association disorder) are common in young children, and have a significant impact on families. Evaluation should include a medical history, a physical, neurological and developmental examination, a description of any nocturnal events or daytime effects of the child's disturbed sleep, and a good understanding of the family situation and parental management of the child. Management involves recognising the developmental age of the child and the family dynamics, and educating and supporting families in applying behavioural techniques to establish good sleep hygiene. Children with parasomnias (eg, night terrors) also benefit from good sleep hygiene, while those with respiratory or neurological causes of sleep disturbance should be referred for specialist treatment.

The roles of depression and anxiety in the understanding and treatment of Obstructive Sleep Apnea Syndrome

Obstructive Sleep Apnea Syndrome (OSAS) is a debilitating condition stemming from disruption to the respiratory system during sleep. At present, the nature of the relationship between OSAS and mood, specifically depression and anxiety, is still unclear. The purpose of this paper is to shed some light on this relationship. PsycINFO was used to locate relevant papers on this topic. This literature search formed the basis of our investigation. Results showed that the anxiety and depression methodology is weak. It is now clear that there is an urgent need to better understand the roles of anxiety and depression in OSAS. For example, the research literature suggests that depression and anxiety covary with OSAS. However, because of methodological issues, such as difficulties involved in diagnosis and the use of inappropriate instruments, this conclusion remains tenuous. Future directions are discussed. (C) 2004 Elsevier Ltd. All rights reserved.

The experience of insomnia among older women

Study Objectives: To measure sleeping difficulty and sleep quality among older women, explore experience and attitudes towards sleep, and test for negative association between difficulty sleeping and health-related quality of life. Design: Four-year longitudinal study. Setting: Women were participants in the Australian Longitudinal Study on Women's Health. Participants: Women were sampled according to use of sleeping medication and classified into 4 groups: sleeping badly and using sleeping medications; not sleeping badly, but using sleeping medications; sleeping badly, not using sleeping medications; not sleeping badly, not using sleeping medications. Interventions: None. Measurements and Results: Sleeping difficulty and sleeping-medication use were measured at Survey 1, Survey 2 (3 years later), and Survey 3 (4 years later). Survey 3 included: Nottingham Health Profile Sleep Subscale, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Geriatric Depression Scale, Duke Social Support Index, Medical Outcomes Study Short-Form 36-item Health Survey, and a 21-item life events scale. Survey 3 was returned by 1011 women (84%). Sleeping problems were negatively associated with SF-36 subscale scores. Most associations remained significant after comorbid conditions, Geriatric Depression Scale, life events scores, and medication use were added to models. Most women with sleeping problems (72%) sought help from a doctor, and 54% used prescribed sleeping medications in the past month. Conclusions: Sleeping difficulty is a serious symptom for older women and is associated with poorer quality of life. Some of this effect can be explained by comorbidities, depression scores, life events, and use of sleeping medications.