A Societal Sleep Prescription.

We are suffering a global sleep-loss epidemic. The health consequences within an individual are well characterized. But does society suffer just as much? Here, I discuss how insufficient sleep erodes our societal fabric as much as it does our biological fabric, and offer some prescriptive remedies.

Sunset time and the economic effects of social jetlag: evidence from US time zone borders.

The rapid evolution into a 24 h society challenges individuals' ability to conciliate work schedules and biological needs. Epidemiological research suggests that social and biological time are increasingly drifting apart ("social jetlag"). This study uses a spatial regression discontinuity design to estimate the economic cost of the misalignment between social and biological rhythms arising at the border of a time-zone in the presence of relatively rigid social schedules (e.g., work and school schedules). Exploiting the discontinuity in the timing of natural light at a time-zone boundary, we find that an extra hour of natural light in the evening reduces sleep duration by an average of 19 minutes and increases the likelihood of reporting insufficient sleep. Using data drawn from the Centers for Disease Control and Prevention and the US Census, we find that the discontinuity in the timing of natural light has significant effects on health outcomes typically associated with circadian rhythms disruptions (e.g., obesity, diabetes, cardiovascular diseases, and breast cancer) and economic performance (per capita income). We provide a lower bound estimate of the health care costs and productivity losses associated with these effects.

Racial/Ethnic and Socio-Contextual Correlates of Chronic Sleep Curtailment in Childhood.

STUDY OBJECTIVES: To examine the association between race/ethnicity and sleep curtailment from infancy to mid-childhood, and to determine the extent to which socioeconomic and contextual factors both explain racial/ethnic differences and are independently associated with sleep curtailment. METHODS: We studied 1,288 children longitudinally in Project Viva, a pre-birth cohort study, from 6 months to 7 years of age. The main exposure was the child's race/ethnicity. The main outcome was a sleep curtailment score from 6 months to 7 years. The score ranged from 0-13, where 0 indicated maximal sleep curtailment and 13 indicated never having curtailed sleep. RESULTS: The mean (standard deviation) sleep curtailment score was 10.2 (2.7) points. In adjusted models (ß [95% CI]), black (-1.92, [-2.39, -1.45] points), Hispanic (-1.58, [-2.43, -0.72] points), and Asian (-1.71, [-2.55, -0.86] points) children had lower sleep scores than white children. Adjustment for sociodemographic covariates attenuated racial/ethnic differences in sleep scores for black (by 24%) and Hispanic children (by 32%) but strengthened the differences for Asian children by 14%. Further adjustment for environmental and behavioral variables did not substantially change these differences. Independently, low maternal education, living in households with incomes < $70,000, viewing more TV, and having a TV in the child's bedroom were associated with lower sleep scores. CONCLUSIONS: Chronic sleep curtailment from infancy to mid-childhood was more prevalent among black, Hispanic, and Asian children. These differences were partially but not entirely explained by socio-contextual variables. Independently, children from lower socioeconomic status and those with greater exposures to TV also had greater sleep curtailment.

Public health implications of sleep loss: the community burden.

Poor sleep imparts a significant personal and societal burden. Therefore, it is important to have accurate estimates of its causes, prevalence and costs to inform health policy. A recent evaluation of the sleep habits of Australians demonstrates that frequent (daily or near daily) sleep difficulties (initiating and maintaining sleep, and experiencing inadequate sleep), daytime fatigue, sleepiness and irritability are highly prevalent (20%-35%). These difficulties are generally more prevalent among females, with the exception of snoring and related difficulties. While about half of these problems are likely to be attributable to specific sleep disorders, the balance appears attributable to poor sleep habits or choices to limit sleep opportunity. Study of the economic impact of sleep disorders demonstrates financial costs to Australia of $5.1 billion per year. This comprises $270 million for health care costs for the conditions themselves, $540 million for care of associated medical conditions attributable to sleep disorders, and about $4.3 billion largely attributable to associated productivity losses and non-medical costs resulting from sleep loss-related accidents. Loss of life quality added a substantial further non-financial cost. While large, these costs were for sleep disorders alone. Additional costs relating to inadequate sleep from poor sleep habits in people without sleep disorders were not considered. Based on the high prevalence of such problems and the known impacts of sleep loss in all its forms on health, productivity and safety, it is likely that these poor sleep habits would add substantially to the costs from sleep disorders alone.

Mood and sleep problems in adolescents and young adults: an econometric analysis.

BACKGROUND: Sleep related problems affect approximately 25-40% of children and adolescents. The acquisition of sleep patterns characterised by later bedtimes, insomnia and excessive daytime sleepiness is related to poorer school performance, daytime drowsiness, physical tiredness and a higher rate of psychiatric illnesses. Many studies have investigated the correlation between sleep and mood in children and adolescents and overall, show a positive association between sleep problems and psychiatric disorders. However, little is known about adolescents' personal perception of their psychological status as it is linked with the occurrence of mood changes and sleep-related problems. AIMS OF THE STUDY: The aim of the study is to explore the impact of variables such as age, gender, education and the perception of their own psychological status (evaluated through suitable questionnaires) on the simultaneous presence of sleep disturbances and affective symptoms in a sample of adolescents. A positive correlation between these two dependent variables signals the need to intervene with proper support programs. METHODS: A recursive bivariate probit model has been employed. This method allows us to take into account two dependent dummy variables and to consider the relationship between the two, presuming that one may also influence the other. The analysis has been carried out on a sample of 2,005 adolescents out of a total of 4,000 who declared their willingness to be telephonically interviewed using a questionnaire in two parts designed to obtain information about the participants sleep habits and affective symptoms. RESULTS: There is a positive correlation between sadness and daytime drowsiness. The estimated joint probability ranging from 5.5% to 9% in girls demonstrates a greater tendency for girls to experience both depression and altered sleep patterns. DISCUSSION AND LIMITATIONS OF THE STUDY: Just as sadness is a key symptom of affective disorders, daytime drowsiness indicates the presence of sleep disorders caused by sleep habits that are likely to evolve into affective symptoms. This assumption is confirmed by the results of this analysis. However, since the interviews were conducted during the years 2003 and 2004, a replication of the analysis would outline whether this evidence is still the same or whether changes in habits and behaviours have intervened to modify substantially this pattern in recent years. As the analysis considers a sample of adolescents living in two southern Italian regions, the study should be replicated in other geographical areas. IMPLICATIONS FOR HEALTH CARE PROVISIONS AND USE: The early detection of affective symptoms in adolescents may presumably lead to a diminished use of antidepressants and an improvement in learning abilities and school results along with strengthening of personal motivations. IMPLICATIONS FOR HEALTH POLICIES: Counselling and educational programs directed towards those adolescents demonstrating poor sleep habits should be planned and implemented to avoid further complications and impact on their mental health.

Societal costs of insomnia.

Insomnia is the most common sleeping disorder and has been recognized as a major public health issue, associated with a high societal cost. The aim of this review is firstly to understand how the socio-demographic and career characteristics of insomniacs may influence the economical consequences of this disease. Secondly, it also tries to explain how patients seek help to cope with their insomnia. The review aims to carefully describe the possible links between insomnia and public health concerns as to point out what are the certitudes and the missing data on the consequences of insomnia on work, economics, accidents, costs and health related quality of life (HrQol).

The public health and safety consequences of sleep disorders.

Sleep deprivation and medical disorders of sleep are common in today's society and have significant public health implications. In this article, we address 3 specific issues related to the public health and safety consequences of sleep disorders. First, we review data that has linked sleep restriction to a variety of adverse physiologic and long-term health outcomes including all-cause mortality, diabetes, and cardiovascular disease. Second, we will review recent data that has demonstrated that therapy for obstructive sleep apnea (the most common respiratory disorder of sleep) is an extremely efficient use of healthcare resources (in terms of dollars spent per quality adjusted life year gained), and compares favorably with other commonly funded medical therapies. Finally, we will review data that illustrate the potential adverse patient and occupational safety impacts of the extreme work schedules of housestaff (physicians in training).

Work and family characteristics as determinants of socioeconomic and sex inequalities in sleep: The Japanese Civil Servants Study.

STUDY OBJECTIVE: To clarify whether socioeconomic and sex inequalities in poor sleep quality are explained by socioeconomic and sex differences in work and family characteristics. DESIGN: A cross-sectional study. PARTICIPANTS: Three thousand five hundred fifty-six employees (2397 men and 1159 women) aged 20 to 65 years in local government in Japan. MEASUREMENTS: Respondents completed a self-administered questionnaire that asked about sleep quality, as measured by the Pittsburgh Sleep Quality Index; work characteristics, as measured by the job-demand-control-support model, work hours, and shift work; and family characteristics, such as family structure and family-work conflicts. RESULTS: Lower control at work, higher work demands, lower social support, shorter and longer working hours, shift work, being single, higher family-to-work conflict, and higher work-to-family conflict were independently associated with poorer sleep quality in both men and women. In men, the age-adjusted odds ratio (OR) of low-grade employees for poor sleep quality was 1.64 (95% confidence interval: 1.14-2.36) in comparison with high-grade employees. The difference in sleep was attenuated when work and family characteristics were adjusted for (OR=1.25 [0.84-1.86]). Among women, there was no significant grade difference in sleep. Women tended to have poorer sleep quality than men (the age-adjusted OR=1.75 [1.49-2.06]). The sex difference was attenuated and no longer significant when adjustments were made for work and family characteristics (OR=1.04 [0.85-1.27]). CONCLUSIONS: The results of this study suggest that work and family characteristics may be important for reducing socioeconomic and sex inequalities in sleep. Sex differences in the pattern of socioeconomic inequalities in sleep deserve further research.

Socioeconomic impact of insomnia in working populations.

To determine whether insomnia impact the professional life of patients and have an economical weight, this review article focused on the socioeconomic impacts of sleep related problems in working populations. The goal is to summarise the work that has been accomplished in that field. Several occupational factors have an impact on insomnia: the work schedules (shift work and night work), the physical environment at work and the occupational stressors. Insomnia is also a common problem in daytime workers. The daytime functioning of insomniacs is a key point to understand the impact of insomnia on workers. Absenteeism is one major target in the evaluation of severe insomnia at the workplace. Most of the studies find a higher rate of work accidents in insomniacs. The economic impact is severe in term of direct and indirect costs. Insomnia is a common problem at the workplace. The negative impact is not only on individual but also at the societal levels. More epidemiological studies appear warranted to demonstrate a reciprocal link between work conditions and sleep disorders.

Assessment and cost comparison of sleep-deprived EEG, MRI and PET in the prediction of surgical treatment for epilepsy.

Our aim was to determine if less expensive interictal indices can predict which epilepsy patients may benefit from the more expensive comprehensive pre-surgical evaluation. Surgical treatment was determined based on the results of a comprehensive inpatient continuous video-EEG monitoring. This evaluation included three interictal tests, which were reviewed retrospectively-2 hour-sleep-deprived electroencephalogram (SDEEG), magnetic resonance imaging (MRI), and positron emission tomography (PET). Sixty-nine patients were evaluated with 35 patients having focal resection (33 temporal, two frontal). When two or more interictal tests were positive, 77% (27 /35) went to surgery, but when one test was positive 23% (8 /34) had surgery. When all tests were negative, only a single patient (1 /13 or 7.7%) had surgery, a frontal resection. The positive predictive value for any single interictal test was 68%, while it was higher for any combination of two positive tests (77-83%). PET was the most sensitive (0.86) single interictal test, compared to SDEEG (0.66) and MRI (0.66). The odds ratio for predicting surgical treatment for a positive PET, SDEEG, or MRI was 8.57, 4.01, and 4.01, respectively. MRI was three and PET was six times the cost of a SDEEG. The combination of SDEEG and MRI had the best cost/PPV ratio. Seventy-nine percent (11 /14) of the patients with three positive tests were seizure free following focal resection compared to 43% (9 /21) when less than three tests were positive ( P