SUMMAR Y The objective of this investigation was to evaluate subjective fatigue versus subjective sleepiness as independent consequences of sleep disorders. Furthermore, we tried to explore how these symptoms relate to alertness, depressive symptoms and illness intrusiveness. In a prospective observational study, 283 sleep-disordered patients referred to a hospital-based sleep laboratory for various indications over a 1-year period were evaluated vis-a`-vis fatigue and sleepiness. All patients completed five subjective questionnaires, underwent objective sleep recording and attended a clinical interview with a sleep specialist. The subjective questionnaires included the Epworth Sleepiness Scale, the Fatigue Severity Scale, the Toronto Hospital Alertness Test, the Illness Intrusiveness Rating Scale and the Center for Epidemiologic Studies-Depression Scale. Only 4% of the total sample was referred to the sleep clinic due to a complaint of excessive fatigue compared with 17% for excessive daytime sleepiness. However, during the assessment, 64% of referred patients reported pathological fatigue without overlap of sleepiness and only 4% reported pathological sleepiness without overlap of fatigue.Pearson's correlation analysis indicated a weak association (r ¼ 0.18) between subjective fatigue and sleepiness in the total sample. Analysis of variance testing showed strong association between those patients with prominent fatigue and depressive symptoms (P < 0.01) and illness intrusiveness (P < 0.001). The findings support the notion that subjective fatigue and sleepiness can be independent manifestations of sleep disorders. Furthermore, predominantly fatigued individuals with sleep disorders seem vulnerable to additional negative consequences due to possible interplay between amplified fatigue and psychological distress.k e y w o r d s fatigue, sleep disorders, sleepiness, subjective rating scales

Background: In view of the immense value of Brassica rapa in the fields of agriculture and molecular biology, the multinational Brassica rapa Genome Sequencing Project (BrGSP) was launched in 2003 by five countries. The developing BrGSP has valuable resources for the community, including a reference genetic map and seed BAC sequences. Although the initial B. rapa linkage map served as a reference for the BrGSP, there was ambiguity in reconciling the linkage groups with the ten chromosomes of B. rapa. Consequently, the BrGSP assigned each of the linkage groups to the project members as chromosome substitutes for sequencing.

The International Classification of Sleep Disorders distinguishes more than 80 different disorders, which can be effectively treated. Problems with falling asleep or daytime sleepiness affect approximately 35 to 40% of the U.S. adult population annually and are a significant cause of morbidity and mortality. However, the prevalence, burden, and management of sleep disorders are often ignored or overlooked by individuals and society in general. This leads to an underappreciation and undertreatment of sleep disorders, making this group of illnesses a serious health concern. Sleep medicine is a young discipline, and as such the full implications of treating sleep disorders and the extent of sleep-related problems are not well delineated. As a result of high prevalence, severe complications, and concomitant illnesses in untreated cases, the cost implications are immense. The costs can be direct, indirect, related, and intangible. However, relatively little has been published on the economic implications of sleep disorders. Economic analysis can help evaluate available resources to set priorities and maximize management strategies for cost control without sacrificing safety, efficacy, or effectiveness. There has been considerable evidence of the cost-effectiveness of treating patients with obstructive sleep apnea, especially considering its high prevalence, morbidity, mortality, and concomitant health care consumption. We review the economic balance sheet of sleep disorders and conclude that sleep medicine education (among general population and health care professionals) and the availability of diagnostic and therapeutic facilities to treat sleep disorders will reduce the profound socioeconomic implications of untreated sleep disorders.