Sleep disorders, medical conditions, and road accident risk

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Abstract

Sleep disorders and various common acute and chronic medical conditions directly or indirectly affect the quality and quantity of one's sleep or otherwise cause excessive daytime fatigue. This article reviews the potential contribution of several prevalent medical conditions – allergic rhinitis, asthma, chronic obstructive pulmonary disease, rheumatoid arthritis/osteoarthritis – and chronic fatigue syndrome and clinical sleep disorders – insomnia, obstructive sleep apnea, narcolepsy, periodic limb movement of sleep, and restless legs syndrome – to the risk for drowsy-driving road crashes. It also explores the literature on the cost-benefit of preventive interventions, using obstructive sleep apnea as an example. Although numerous investigations have addressed the impact of sleep and medical disorders on quality of life, few have specifically addressed their potential deleterious effect on driving performance and road incidents. Moreover, since past studies have focused on the survivors of driver crashes, they may be biased. Representative population-based prospective multidisciplinary studies are urgently required to clarify the role of the fatigue associated with common ailments and medications on traffic crash risk of both commercial and non-commercial drivers and to comprehensively assess the cost-effectiveness of intervention strategies.

Introduction

The field of occupational medicine generally views fatigue as the cumulative effect of one's work parameters, e.g., shift duration, work hours/week, shift start time, mental/physical workload, job monotony, and commute time, as discussed elsewhere in these proceedings (Williamson et al., 2011). However, we feel this perspective is too restrictive, since many other factors can play a contributing or even prominent role. These include demographic variables, as reviewed elsewhere in these proceedings by Di Milia et al. (2011), various acute and chronic medical conditions (sleep disorders and clinical ailments), and certain prescribed and over-the-counter medications as reviewed here. Health status variables are increasingly gaining attention in occupational medicine in terms of the so-called ‘work ability’ of employees, i.e., one's ability to meet workplace demands (Ilmarinen, 2001, Tuomi et al., 1998). Yet, thus far they have received comparatively little consideration as a source of excessive fatigue and being a risk factor for commercial and non-commercial drowsy-driving incidents. Thus, the focus of this article is to illustrate the potential contribution of several major sleep and medical disorders that are highly prevalent in the driving population on daytime fatigue and drowsy-driving incidents.

Section snippets

Nighttime sleep and daytime fatigue

The average sleep duration of healthy adults is generally regarded to be ∼7 h (Ohayon et al., 2004). However, a 2009 telephone survey conducted by the National Sleep Foundation (NSF) on 1000 persons found the average sleep duration of many American adults is far less. The 2009 NSF survey used a random sample of landline telephone numbers and professional interviewers to poll adult heads of households (≥18 years of age) across the different regions of the USA and achieved a cooperation rate

Non-primary sleep disorders

Many medical conditions not classified as sleep disorders may, nonetheless, be a significant source of excessive daytime fatigue, compromised cognitive functioning, and drowsy driving. Table 1 lists some of these. The list, although appearing extensive, is intended to be illustrative rather than exhaustive, since nearly all acute and chronic medical conditions have the potential, directly or indirectly, to affect one's quality/quantity of nighttime sleep, daytime alertness, and/or energy level.

Discussion

The evidence is compelling that severe daytime sleepiness, tiredness, and/or fatigue – whether the result of a primary sleep disorder or an acute or chronic medical condition – can compromise the cognitive performance of commercial and non-commercial drivers and contribute to traffic crashes. However, we have argued in this article, which pertains specifically to certain selected sleep disorders and medical conditions, and also elsewhere (Di Milia et al., 2011) that a major limitation of

Acknowledgement

We acknowledge the contribution of Patricia Sagaspe, Virginie Bayon, Damien Léger, Guillaume Chaumet and Jacques Taillard to some sections of the article.

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