1.Sleep quality and psychosocial correlates among elderly attendees of an urban primary care centre in Malaysia
Rosdinom Razali ; Julianita Ariffin ; Aznida Firzah Abdul Aziz ; Sharifah Ezat Wan Puteh ; Suzaily Wahab ; Tuti Iryani Mohd Daud
Neurology Asia 2016;21(3):265-273
Sleep quality can vary in relation to one’s general well-being and in the elderly, it is often affected
by the presence of medical or psychological conditions. This study aims to determine the frequency
of different components of sleep quality in the elderly, and their relationships with psychosocial
and medical attributes. A cross-sectional study was conducted on 123 attendees aged 60 years and
above at Pusat Perubatan Primer Universiti Kebangsaan Malaysia. Sleep quality and psychological
distress were assessed using the validated Malay versions of Pittsburgh sleep quality index (PSQI) and
Hamilton anxiety depression scale (HADS) respectively. Information on medical comorbidities and
medications were obtained from the participants, their doctors and medical notes. Almost half of the
patients experienced poor sleep quality (47.2%) which was significantly associated with older mean age
(69.5 ±4.55). There was no statistical significance between sleep quality and other sociodemographic
characteristics (gender, ethnicity and living arrangement). Most patients described their sleep quality
as subjectively generally “fairly good” (69.1%) despite PSQI scores indicating poor sleep quality. A
majority of the patients (59.3%) were on follow-up for 3 or more medical illnesses, with heart disease
as the only medical comorbidity significantly associated with poor sleep quality. Most of them also
complained of only “mild difficulty” with their sleep. Among the 7 sleep components of PSQI, “sleep
disturbance” was the most frequent experience. Most experienced mild sleep disturbance (87.8%)
and usage of hypnotic agents was low (6.5%). Only 23.6% of patients had significant psychological
distress (HADS scores ≥ 8), with positive correlation with sleep quality.
Sleep
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Polysomnography
2.Comparative Effects of Mattress Type on Subjective and Objective Sleep Quality: A Preliminary Study.
Jae Won CHOI ; Yu Jin LEE ; Soohyun KIM ; Joonki LEE ; Do Un JEONG
Sleep Medicine and Psychophysiology 2016;23(2):61-67
OBJECTIVES: We aimed to evaluate the effects of mattress type on both objective and subjective sleep quality in healthy good sleepers. METHODS: Fifteen healthy good sleepers with a mean age of 30.8 years participated in this study. A randomized crossover trial was carried out using two different mattress types: a standard mattress and a contour coil mattress. After a night of adaptation, all participants were randomized to either a standard mattress or a contour coil mattress. Then, nocturnal polysomnography was conducted for two consecutive nights. Subjective evaluations were obtained using a self-report questionnaire before and after the polysomnographic recording sessions. RESULTS: The polysomnographic showed no differences in total sleep time, sleep stage, or wake time after sleep onset between the two mattress conditions. Of the polysomnographic variables, only sleep onset latency was significantly reduced for the contour coil mattress. Additionally, participants reported better subjective sleep quality when sleeping on the contour coil mattress, according to the questionnaires. CONCLUSION: The type of mattress might affect not only subjective, but also objective sleep quality, including sleep onset latency.
Polysomnography
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Sleep Stages
3.Sleep Patterns in Children with Attention-Deficit/Hyperactivity Disorder by Polysomnography.
Ji Yeon NAM ; Jong Hyun JEONG ; Tae Won KIM ; Ho Jun SEO ; Hyun Kook LIM ; Seung Chul HONG ; Jin Hee HAN
Korean Journal of Psychopharmacology 2015;26(2):50-57
OBJECTIVE: Sleep problems are a prominent feature in children with attention-deficit/hyperactivity disorder (ADHD) and about 25-43% of ADHD patients were reported to have sleep problems including higher level of nocturnal activity, longer sleep latency, lower sleep efficiency, more frequent night awakenings and shorter total sleep time. However, the association between sleep and ADHD is poorly understood and their relationships to sleep structure are not consistent across studies. The aims of our study were to ascertain the nocturnal sleep disturbances in patients with ADHD by objective measure, polysomnography. METHODS: The subjects were 20 patients with ADHD and 21 control children (6-12 years). We tested them by polysomnography to get sleep variables and compare sleep disturbances. In addition, we tested ADHD group by neurocognitive function test and assessed the correlation between sleep variables and neurocognitive functions in ADHD group. RESULTS: In sleep variables by polysomnography, the total time in bed (509.73+/-24.56 min vs. 490.51+/-20.71 min, p=0.01), sleep latency (21.30+/-19.33 min vs. 10.72+/-7.26 min, p=0.031) and limb movement arousal (6.56+/-2.19 /hr vs. 5.98+/-1.38 /hr, p=0.043) were significantly increased in patients with ADHD compared with controls. And the slow wave sleep (24.59+/-4.73% vs. 28.45+/-5.63%, p=0.023) were significantly decreased in patients with ADHD compared with controls. There were no significant differences in sleep period time and sleep efficiency test. CONCLUSION: The patients with ADHD had more sleep problems and results of this study suggested that they have significantly increased the total time in bed, sleep latency and Limb movement arousal. And in the patients with ADHD, some sleep variables indicated poor sleep quality. However, further studies should repeatedly suggest consistent results about sleep problems in children with ADHD.
Arousal
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Child*
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Extremities
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Humans
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Polysomnography*
4.Caloric test and Polysomnography in the three patients with Palatal myoclonus.
Dae Il CHANG ; Sung Sang YOON ; Kyung Chun CHUNG
Journal of the Korean Neurological Association 1993;11(4):554-560
No abstract available.
Caloric Tests*
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Humans
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Myoclonus*
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Polysomnography*
5.Sleep Irregularity in the Previous Week Influences the First-Night Effect in Polysomnographic Studies.
Da Hye LEE ; Chul Hyun CHO ; Changsu HAN ; Ki Nam BOK ; Jung Ho MOON ; Eunil LEE ; Heon Jeong LEE ; Leen KIM
Psychiatry Investigation 2016;13(2):203-209
OBJECTIVE: The first-night effect is a well-known phenomenon resulting from an individual's maladaptation to the unfamiliar environment of a sleep laboratory. However, there have been no direct reports of the effect of previous sleep patterns on the first-night effect. We aimed to investigate the effect the previous week's sleep pattern on the first-night effect. METHODS: Twenty-four young, healthy, male participants completed the study procedure. During one week prior to study, the participants kept sleep diaries and wore actigraphs to identify sleep-wake pattern. Two consecutive nights of polysomnography were conducted after that. Wilcoxon signed-rank tests were applied to compare sleep variables of the two nights. Variance (standard deviation) of sleep onset time during the previous week was used as an index of irregularity. A Kendall's ranked correlation analysis and a linear regression test were applied to detect correlation between sleep irregularity and the first-night effect measured by polysomnography. RESULTS: There were significant differences in the values of sleep efficiency (p=0.011) and wake after sleep onset (WASO) (p=0.006) between the two nights. Sleep efficiency was lower and WASO was higher on the first night as compared to the second night. Sleep irregularity in the previous week was negatively correlated with sleep efficiency (p<0.001) of the first night, but was not significantly correlated with any other sleep parameters. CONCLUSION: We replicated the existence of the first-night effect commonly observed in sleep studies. Sleep irregularity in the previous week may influence the first-night effect in polysomnographic studies.
Humans
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Linear Models
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Male
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Polysomnography
6.Overnight Growth Hormone Secretions and Sleep Patterns in Idiopathic Short Stature Children.
Sang Young SEO ; Kee Hyoung LEE ; Baik Lin EUN ; Chang Sung SOHN ; Young Chang TOCKGO ; Chol SHIN ; Baek Hyun KIM
Journal of the Korean Pediatric Society 2003;46(4):363-369
PURPOSE: Pharmacologic provocation test of growth hormone(GH) is a non-physiologic method and has several limitations for diagnosing growth hormone(GH) deficiency. Spontaneous GH release studies could be important in understanding the pathophysiology of children with poor growth but normal responses to GH provocation tests. Also, the relationship between nocturnal GH secretions and sleep patterns in short stature children is poorly understood. The aim of this study is to determine whether there are differences in sleep patterns and nocturnal GH secretory profiles between idiopathic short stature children and a normal stature group. METHODS: Spontaneous nocturnal GH secretions and sleep patterns were evaluated in 12 prepubertal idiopathic short stature children with normal responses to provocation tests and 9 normal stature controls. Blood samples were taken every 30 minutes from 22:00-06:30 and sleep patterns were analyzed by polysomnography. RESULTS: The mean GH level during sleep was significantly lower in short stature children than in controls. The peak GH level after sleep, coincident with the first slow wave sleep, was lower in the short stature group. The slow wave sleep times of short stature children were decreased compared with those of normal subjects. CONCLUSION: These results suggest that overnight serial GH sampling is helpful to identify short stature children with subnormal GH secretions, and sleep structure differences may be associated with decreased overnight GH secretions in short stature children.
Child*
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Growth Hormone*
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Humans
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Polysomnography
7.Sleep Onset Period from the EEG Point of View.
Sleep Medicine and Psychophysiology 2009;16(1):16-21
In accordance with the development of EEG and polysomnography in the field of sleep research, the sleep onset period (SOP) between wakefulness and sleep has been considered an important part for understanding the physiology of sleep. SOP in the transition from wakefulness to sleep is a gradual process integrating various viewpoints such as behavior, EEG, physiology and subjective report. Particularly, based on understanding of EEG changes during sleep, SOP has been regarded as a pattern of topographical change in specific frequency and specific state in EEG. Studies on quantitative EEG (qEEG) and event-related potential (ERP) have suggested that SOP shows the changes of functional coordination at the specific cortical areas in qEEG and the changes of regular patterns in response to environmental stimulation in ERP. The development of sleep EEG and topographic mapping of EEG is expected to integrate various viewpoints of SOP and clarify the neurophysiologic mechanism of SOP further.
Electroencephalography
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Evoked Potentials
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Polysomnography
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Wakefulness
8.Quantitative Analysis of Actigraphy in Sleep Research.
Sleep Medicine and Psychophysiology 2016;23(1):10-15
Since its development in the early 70s, actigraphy has been widely used in sleep research and clinical sleep medicine as an assessment tool of sleep and sleep-wake cycles. The validation and reliability of actigraphic measures have been reasonably examined in healthy normal individuals with good sleep patterns. Recent literature suggests that the use of actigraphy could be further extended to monitor insomnia and circadian sleep-wake disturbances, and detect sleep changes associated with drug treatments and non-pharmacologic interventions, although it is generally recommended to use complementary assessments such as sleep diaries and overnight polysomnography when possible. The development of actigraphy includes its improved hardware sensors for better detection of movements and advanced algorithms to score sleep and wake epochs. In this paper, we briefly review the quantitative analysis methods of actigraphy and its potential applications in sleep research.
Actigraphy*
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Polysomnography
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Sleep Initiation and Maintenance Disorders
9.The Effect of Tricyclic Antidepressant(Dothiepin) on Sleep in Depressed Patients: A Polysomnographic Study.
Seung Chul HONG ; Jin Hee HAN ; Sung Pil LEE ; Seung Kyu BANG
Journal of Korean Neuropsychiatric Association 1998;37(4):728-736
OBJECTIVE: This study was designed to investigate 1) sleep changes after antidepressant(dothiepin) treatment, and 2) sleep variables which seem to be associated with clinical response in the depressed patients. METHODS: The subjects consisted of 16 patients who fullfilled the criteria for major depression by the Diagnostic and Statistical Manual,(4th edition). Their sleep was recorded using polysomnography at the baseline and after one week and three weeks of dothiepin treatment. All subjects were further interviewed using Hamilton Rating Scale for Depression (HRSD) to rate the severity of their depression. High response to the drug was defined as a reduction of more than 50% of the HRSD score. Result : The results were as follows : 1) Depressed patients after dothiepin treatment showed more total sleep time(p=0.019), shorter sleep latency(p=0.05), less awake time(p=0.033), more sleep efficiency(p=0.018), more stage 2 sleep(p=0.002), less REM time(p=0.000), and longer REM sleep latency(p=0.004) than before treatment. 2) There were no differences in sleep variables between those who received 1 week and 3 weeks of dothiepin treatment except of th shortening of sleep latency after 3 weeks(p<0.05). 3) Depressive symptom scores on HRSD were reduced after 1 week and 3 weeks of dothiepin treatment as compared with the baseline. 4) High responers showed a tendency of increased wake time(p=0.054), while their stage 4 sleep decreased after 1 week of dothiepin treatment as compared with the low responders(p=0.0136). Conclusions : These results suggest that sleep of the depressed patients after dothiepin treatment tends to be nomalized and sleep chages seem to appear early in the treatment phase. In addition, clinical response might be associated with greater wake time at the baseline and lesser atage 4 sleep 1 week of dothiepin treatment.
Depression
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Dothiepin
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Humans
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Polysomnography
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Sleep, REM