Sleep disorders, sleepiness and traffic safety: a public health menace

Sleep disorders are not uncommon and have been widely reported throughout the world. They have a profound impact on industrialized 24-h societies. Consequences of these problems include impaired social and recreational activities, increased human errors, loss of productivity, and elevated risk of accidents. Conditions such as acute and chronic insomnia, sleep loss, excessive sleepiness, shift-work, jet lag, narcolepsy, and sleep apnea warrant public health attention, since residual sleepiness during the day may affect performance of daily activities such as driving a car. Benzodiazepine hypnotics and zopiclone promote sleep, both having residual effects the following day including sleepiness and reduced alertness. In contrast, the non-benzodiazepine hypnotics zolpidem and zaleplon have no significant next-day residual effects when taken as recommended. Research on the effects of wakefulness-promoting drugs on driving ability is limited. Countermeasures for excessive daytime sleepiness have a limited effect. There is a need for a social awareness program to educate the public about the potential consequences of various sleep disorders such as narcolepsy, sleep apnea, shift-work-related sleep loss, and excessive daytime sleepiness in order to reduce the number of sleep-related traffic accidents.Mount Sinai School of Medicine Division of Pulmonary, Critical Care, and Sleep MedicineUniversity of Utrecht Utrecht Institute for Pharmaceutical Sciences Department of PsychopharmacologyUniversity of Toronto, and Sleep and Neuropsychiatry Institute Department of PsychiatryUniversidade Federal de São Paulo (UNIFESP) Departamento de PsicobiologiaUNIFESP, Depto. de PsicobiologiaSciEL

Linking emotional distress to unhealthy sleep duration: analysis of the 2009 National Health Interview Survey

Objective The objective of the study was to examine the independent association of emotional distress with unhealthy sleep duration (defined as \u3c7 or \u3e8 hours). Methods Data from the 2009 National Health Interview Survey (NHIS), a cross-sectional household survey, were analyzed to investigate the associations of emotional distress with unhealthy sleep durations, adjusting for sociodemographic factors, health risks, and chronic diseases through hierarchical multiple logistic regression analysis. Participants A total of 27,731 participants (age range 18–85 years) from the NHIS 2009 dataset were interviewed. Measures Unhealthy sleep duration is defined as sleep duration \u3c7 or \u3e8 hours, whereas healthy sleep is defined as sleep duration lasting for 7–8 hours. Emotional distress is based on the Kessler 6 Non-Specific Distress Battery, which assesses the frequency of feeling sad, nervous, restless, hopeless, worthless, and burdened, over a 30-day period. Results Of the sample, 51.7% were female; 83.1% were white and 16.9% were black. Eleven percent experienced emotional distress and 37.6% reported unhealthy sleep. Adjusted logistic regression analysis revealed that individuals with emotional distress had 55% greater odds of reporting unhealthy sleep (odds ratio [OR] =1.55, 95% confidence interval [CI] =1.42, 1.68, P\u3c0.001). Conclusion Emotional distress, an important proxy for poor psychological health, was a significant predictor of unhealthy sleep, independent of the influences of several factors including demographic (age, education, sex, race/ethnicity, and family income), health risks (alcohol consumption and smoking status), and chronic diseases/conditions (diabetes, obesity, hypertension, heart disease, cancer, and arthritis)

Association between visual impairment and sleep duration: analysis of the 2009 National Health Interview Survey (NHIS)

BACKGROUND: Visual impairment (VI) is associated with increased mortality and health factors such as depression and cardiovascular disease. Epidemiologic studies consistently show associations between sleep duration with adverse health outcomes, but these have not systematically considered the influence of VI. The aim of this study was to ascertain the independent association between VI and sleep duration using the National Health Interview Survey (NHIS) data. We also examined whether race/ethnicity influenced these associations independently of sociodemographic and medical characteristics. METHODS: Our analysis was based on the 2009 NHIS, providing valid sleep and vision data for 29,815 participants. The NHIS is a cross-sectional household interview survey utilizing a multistage area probability design. Trained personnel from the US census bureau gathered data during face-to-face interview and obtained socio-demographic, self-reported habitual sleep duration and physician-diagnosed chronic conditions. RESULTS: The mean age of the sample was 48 years and 56% were female. Short sleep and long sleep durations were reported by 49% and 23% of the participants, respectively. Visual impairment was observed in 10%. Multivariate-adjusted logistic regression models showed significant associations between VI and short sleep (OR = 1.6, 95% CI = 1.5-1.9 and long sleep durations (OR = 1.6, 95% CI = 1.3-1.9). These associations persisted in multivariate models stratified by race-ethnic groups. CONCLUSION: Visual impairment was associated with both short and long sleep durations. Analysis of epidemiologic sleep data should consider visual impairment as an important factor likely to influence the amount of sleep experienced habitually

Associations between sleep disturbances and diabetes mellitus among blacks with metabolic syndrome: Results from the Metabolic Syndrome Outcome Study (MetSO)

Introduction. The association between sleep disturbances and cardiometabolic diseases has been understudied in blacks with metabolic syndrome. Methods. This study is a cross-sectional analysis of the Metabolic Syndrome Outcome Study (MetSO) trial. We assessed insomnia symptoms, sleep duration, and risk for sleep apnea. Multivariate logistic regression models evaluated the association between sleep disturbances with diabetes mellitus (DM) and the combined outcomes of DM and hypertension as well as DM and dyslipidemia. Results. The sample consisted of 1,013 participants, mean age of 62 ± 14 years and 61% female. DM was diagnosed in 60% of the sample. Sleep apnea risk was observed in 48% of the sample, while 10% had insomnia symptoms and 65% reported short sleep duration (< 6 hours). Sleep apnea risk, but not insomnia or sleep duration, was associated with DM (OR 1.66; 95% CI 1.21-2.28), adjusting for age, sex, income, obesity (BMI ≥ 30 kg/m 2 ), tobacco use, alcohol use, hypertension, dyslipidemia, and depression. In fully adjusted models, sleep apnea risk was associated with the combined outcome of DM-hypertension (OR 1.95; 95% CI 1.42-2.69), but not with diabetes-dyslipidemia. Conclusion. We observed a strong association between sleep apnea risk and diabetes mellitus among blacks with metabolic syndrome