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Sleep disorder

About: Sleep disorder is a research topic. Over the lifetime, 19380 publications have been published within this topic receiving 884281 citations. The topic is also known as: somnipathy & non-organic sleep disorder.


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Journal ArticleDOI
TL;DR: It is hypothesized that end-stage renal disease directly influences quality of sleep, which in turn impacts on HRQoL, which is associated with lower sleep quality in haemodialysis patients.
Abstract: Background. Sleep complaints are common in haemodialysis patients. In the general population, insomnia impacts negatively on health-related quality of life (HRQoL). The objective of this study was to examine the association between quality of sleep and HRQoL in haemodialysis patients independent of known predictors of HRQoL. Methods. Quality of sleep was measured using the Pittsburgh Sleep Quality Index (PSQI) and HRQoL was measured using the Medical Outcomes Study 36-item Short Form (SF-36) in 89 haemodialysis patients. Results. Sixty-three (71%) subjects were ‘poor sleepers’ (global PSQI )5). The SF-36 mental component summary (MCS) and physical component summary (PCS) correlated inversely with the global PSQI score (MCS, rs0.28, P-0.01; PCS, rs0.45, P-0.01). The PCS score also correlated with age (rs0.24, Ps0.02), haemoglobin (rs0.21, Ps0.048) and comorbidity (rs0.40, P-0.01), and mean PCS was lower in depressed subjects (26.2 vs 35.9, Ps 0.02). Subjects with global PSQI )5 had a higher prevalence of depression, lower haemoglobin and lower HRQoL in all SF-36 domains. The global PSQI score was a significant independent predictor of the MCS and PCS after controlling for age, sex, haemoglobin, serum albumin, comorbidity and depression in multivariate analysis. Conclusions. Poor sleep is common in dialysis patients and is associated with lower HRQoL. We hypothesize that end-stage renal disease directly influences quality of sleep, which in turn impacts on HRQoL.

322 citations

Journal ArticleDOI
TL;DR: Hitual sleep patterns have significant effects on the risk for stroke and coronary heart disease in a national cohort of 7,844 adults who participated in the First National Health and Nutrition Examination Survey Epidemiologic Follow-up Study.
Abstract: Background Habitual sleep patterns may independently affect morbidity and mortality. However, the effect of habitual sleep patterns on the risk for stroke and coronary heart disease is unclear. Methods We evaluated the association between sleep duration and daytime somnolence (often or almost always taking daytime naps) with the incidence of stroke and coronary heart disease in a national cohort of 7,844 adults who participated in the First National Health and Nutrition Examination Survey Epidemiologic Follow-up Study. Cox proportional hazards analyses were used to examine these relationships during the 10-year follow-up. Results After adjusting for differences in age, race, gender, education, cigarette smoking, body mass index, serum cholesterol, systolic blood pressure, and diabetes mellitus, the risk for stroke was increased in persons who reported sleeping greater than 8 hours at night compared with persons who slept between 6 and 8 hours (relative risk [RR] = 1.5, 95% confidence interval [CI] = 1.1 to 2.0). Daytime somnolence was also associated with stroke incidence (RR = 1.4, 95% CI = 1.1 to 1.8). Persons who reported both greater than 8 hours of sleep and daytime somnolence were at the greatest risk for stroke (RR = 1.9, 95% CI = 1.2 to 3.1). Similar results were also found for coronary heart disease, although the results did not reach statistical significance in the multivariate adjusted model. Conclusions Habitual sleep patterns have significant effects on the risk for stroke.

322 citations

Journal ArticleDOI
TL;DR: Evidence is presented which supports the contention that primary insomniacs suffer from a disorder of hyperarousal and that the elevated arousal produces the poor sleep and other symptoms reported by patients.

321 citations

Journal Article
TL;DR: Disrupting SWS, without reducing total sleep or sleep efficiency, for several consecutive nights is associated with decreased pain threshold, increased discomfort, fatigue, and the inflammatory flare response in skin.
Abstract: Objective. To determine whether disrupted slow wave sleep (SWS) would evoke musculoskeletal pain, fatigue, and an alpha electroencephalograph (EEG) sleep pattern. We selectively deprived 12 healthy, middle aged, sedentary women without muscle discomfort of SWS for 3 consecutive nights. Effects were assessed for the following measures: polysomnographic sleep, musculoskeletal tender point pain threshold, skinfold tenderness, reactive hyperemia (inflammatory flare response), somatic symptoms, and mood state. Methods. Sleep was recorded and scored using standard methods. On selective SWS deprivation (SWSD) nights, when delta waves (indicative of SWS) were detected on EEG, a computer generated tone (maximum 85 decibels) was delivered until delta waves disappeared. Musculoskeletal tender points were measured by dolorimetry; skinfold tenderness was assessed by skin roll procedure; and reactive hyperemia was assessed with a cotton swab test. Subjects completed questionnaires on bodily feelings, symptoms, and mood. Results. On each SWSD night, SWS was decreased significantly with minimal alterations in total sleep time, sleep efficiency, and other sleep stages. Subjects showed a 24% decrease in musculoskeletal pain threshold after the third SWSD night. They also reported increased discomfort, tiredness, fatigue, and reduced vigor. The flare response (area of vasodilatation) in skin was greater than baseline after the first, and again, after the third SWSD night. However, the automated program for SWSD did not evoke an alpha EEG sleep pattern. Conclusion. Disrupting SWS, without reducing total sleep or sleep efficiency, for several consecutive nights is associated with decreased pain threshold, increased discomfort, fatigue, and the inflammatory flare response in skin. These results suggest that disrupted sleep is probably an important factor in the pathophysiology of symptoms in fibromyalgia.

321 citations

Journal ArticleDOI
01 Jul 2005-Headache
TL;DR: This study characterized sleep parameters and complaints in a large clinical sample of migraineurs and examined sleep complaints in relation to headache frequency and severity.
Abstract: Objectives.—This study characterized sleep parameters and complaints in a large clinical sample of migraineurs and examined sleep complaints in relation to headache frequency and severity. Background.—The relationship between headache and sleep has been documented at least anecdotally in medical literature for well over a century and clinical texts allude to the importance of sleep as a headache precipitant. A small number of empirical studies have emerged, but the precise nature and magnitude of the headache/sleep association and underlying mechanisms remain poorly understood. Methods.—In this investigation, 1283 migraineurs were drawn from 1480 consecutive headache sufferers presenting for evaluation to a tertiary headache clinic. Patients underwent a physical examination and structured interview assessing a variety of sleep, headache, and demographic variables. Migraine was diagnosed according the IHS criteria (1.1 to 1.6 diagnostic codes). Migraineurs were 84% female, with a mean age of 37.4 years. Groups were formed based on patient's average nocturnal sleep patterns, including short, normal, and long sleep groups, and were compared on headache variables. Results.—Sleep complaints were common and associated with headache in a sizeable proportion of patients. Over half of migraineurs reported difficulty initiating and maintaining sleep at least occasionally. Many in this sample reported chronically shortened sleep patterns similar to that observed in persons with insomnia, with 38% of patients sleeping on average 6 hours per night. Migraines were triggered by sleep disturbance in 50% of patients. “Awakening headaches” or headaches awakening them from sleep were reported by 71% of patients. Interestingly, sleep was also a common palliative agent for headache; 85% of migraineurs indicated that they chose to sleep or rest because of headache and 75% were forced to sleep or rest because of headache. Patients with chronic migraine reported shorter nightly sleep times than those with episodic migraine, and were more likely to exhibit trouble falling asleep, staying asleep, sleep triggering headache, and choosing to sleep because of headache. Short sleepers (ie, average sleep period 6 hours) exhibited significantly more frequent and more severe headaches than individuals who slept longer and were more likely to exhibit morning headaches on awakening. Conclusions.—These data support earlier research and anecdotal observations of a substantial sleep/migraine relationship, and implicate sleep disturbance in specific headache patterns and severity. The short sleep group, who routinely slept 6 hours per night, exhibited the more severe headache patterns and more sleep-related headache. Sleep complaints occurred with greater frequency among chronic than episodic migraineurs. Future research may identify possible mediating factors such as primary sleep and mood disorders. Prospective studies are needed to determine if normalizing sleep times in the short sleeps would impact headache threshold.

321 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023344
2022644
20211,073
2020954
2019742
2018751