• Sleep Medicine and Psychophysiology
• /
• v.29 no.2
• /
• pp.29-34
• /
• 2022

Coronavirus disease 2019 (COVID-19), which was a global pandemic caused by severe acute respiratory syndrome corona virus 2 (SARS-CoV-2), is still a serious public health problem. COVID-19 causes various symptoms not only in the respiratory system but also in various parts of the body and has a significant effect on sleep. Insomnia and poor sleep quality were observed at high rates in patients with COVID-19 as well as in the uninfected general population. Obstructive sleep apnea is also considered a risk factor in patients with severe COVID-19. Virus-induced central nervous system damage is likely to be the cause of many sleep disorders in COVID-19, but psychosocial influences also seem to have played a significant role. Sleep problems persisted at high rates for a considerable period after the infection phase was over. More attention and research on the effect of COVID-19 on sleep is needed in the future.

• Sleep Medicine and Psychophysiology
• /
• v.24 no.1
• /
• pp.32-37
• /
• 2017

Objectives: A supine sleep position increases sleep apneas compared to non-supine positions in obstructive sleep apnea syndrome (OSAS). However, supine position time (SPT) is not highly associated with apnea-hypopnea index (AHI) in OSAS. We evaluated the correlation among sleep-related variables and SPT in OSAS. Methods: A total of 365 men with OSAS were enrolled in this study. We analyzed how SPT was correlated with demographic data, sleep structure-related variables, OSAS-related variables and heart rate variability (HRV). Multiple linear regression analysis was conducted to investigate the factors that affected SPT. Results: SPT had the most significant correlation with total sleep time (TST ; r = 0.443, p < 0.001), followed by sleep efficiency (SE ; r = 0.300, p < 0.001). Snoring time (r = 0.238, p < 0.001), time at < 90% SpO2 (r = 0.188, p < 0.001), apnea-hypopnea index (AHI ; r = 0.180, p = 0.001) and oxygen desaturation index (ODI ; r = 0.149, p = 0.004) were significantly correlated with SPT. Multiple regression analysis revealed that TST (t = 7.781, p < 0.001), snoring time (t = 3.794, p < 0.001), AHI (t = 3.768, p < 0.001) and NN50 count (t = 1.993, p = 0.047) were associated with SPT. Conclusion: SPT was more highly associated with sleep structure-related parameters than OSAS-related variables. SPT was correlated with TST, SE, AHI, snoring time and NN50 count. This suggests that SPT is likely to be determined by sleep structure, HRV and the severity of OSAS.

• Sleep Medicine and Psychophysiology
• /
• v.18 no.2
• /
• pp.76-81
• /
• 2011

Objectives: This study aims to analyze the association between the severity of sleep apnea, sleep and mood related scales, and activity during sleep in obstructive sleep apnea syndrome (OSAS) patients. Methods: 176 drug-free male patients confirmed as OSAS (average age=$43{\pm}11$ years) were selected through nocturnal polysomnography (NPSG). OSAS was diagnosed with apnea-hypopnea index (AHI) >5, mean AHI was $39.6{\pm}26.0$. Sleep related scales were Stanford Sleepiness Scale (SSS), Epworth Sleepiness Scale (ESS), Pittsburg Sleep Quality Index (PSQI) and Morningness-Eveningness Scale (MES). Mood related scales were Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), State-Trait Anxiety Inventory (STAI) I, II and Profile of Mood States (POMS). NPSG was performed overnight with both wrist actigraphy (WATG). Parameters produced from WATG were total activity score, mean activity score and fragmentation index. We analyzed the correlation between each scale, AHI scored from NPSG and activity score analyzed from WATG. Results: ESS showed significant positive correlation with PSQI, BDI, BAI and STAI I, II, respectively (p<0.01). SSS showed significant positive correlation with PSQI and BAI (p<0.05, p<0.01). BAI showed significant positive correlation with total activity score, mean activity score and fragmentation index (p<0.05, p<0.01, p<0.05).Total activity score showed significant positive correlation with ESS and BAI, respectively (p<0.05). Fragmentation index showed significant positive correlation with ESS, PSQI and BAI (p<0.05, p<0.01, p<0.05). AHI, indicator of sleep apnea is showed no significant correlation with each sleep and mood related scale. Conclusion: The degree of daytime sleepiness tends to be associated with night sleep satisfaction, depression and anxiety, and the activity during sleep rather than the severity of sleep apnea.

• Sleep Medicine and Psychophysiology
• /
• v.16 no.2
• /
• pp.74-78
• /
• 2009

Objective: It has been reported that the sleep apnea syndrome in the asthmatic patients is prevalent, however, the systematic study in this field using polysomnography has rarely been performed. The aim of this study is to investigate the relationship between the apnea-hypopnea index (AHI) and the pulmonary function in asthmatic children. Methods: This study enrolled 19 male and 12 female asthmatic children aged 6-13 years (average $8.2{\pm}1.7$ years old). Complete overnight polysomnography and pulmonary function test were performed for the participants. Results: Of the 31 asthmatic children, 21 (67.7%) met the diagnostic criteria of the pediatric sleep apnea and the average AHI was $1.7{\pm}1.5/h$. The children with higher AHI showed poorer pulmonary function ($FEV_1$/FVC ratio: p=0.002, $FEV_1$%pred: p=0.047). Conclusion: These results suggest that the prevalence of the pediatric sleep apnea could be very high among the asthmatic children and the severity of the sleep apnea correlates with the pulmonary function. However, the case-control study to compare the AHI between the asthma and control groups is absolutely necessary because few normative data are available for the children.

• The Journal of the Korean dental association
• /
• v.53 no.4
• /
• pp.238-248
• /
• 2015

Sleep related breathing disorders(SRBDs) are a group of diseases accompanied by difficulties in respiration and ventilation during sleep. Central sleep apnea, obstructive sleep apnea(OSA), sleep-related hypoventilation, and hypoxemia disorder are included in this disease entity. OSA is known to be the most common SRBDs and studies show its significant correlation with general health problems including hypertension, arrhythmia, diabetes, and metabolic syndrome. The diagnostic process of OSA is composed of physical examinations of the head and neck area and also the oral cavity. Radiologic studies including cephalography, CT, MRI, and fluoroscopy assist in identifying the site of obstruction. However, polysomnography(PSG) is still considered the gold standard for the diagnosis of OSA since it offers both qualitative and quantitative recording of the events during a whole night's sleep. The dentist who is trained in sleep medicine can easily identify patients with the risk of OSA starting from simple questions and screening questionnaires. Diagnosis is the first step to treatment and considering the high rate of under-diagnosis for OSA the dentist may play a substantial role in the diagnosis and treatment of OSA which will eventually lead to the well-being of the patient as a whole person. So the objective of this article is to assist dental professionals in gaining knowledge and insight of the diagnostic measures for OSA including PSG.

• Sleep Medicine and Psychophysiology
• /
• v.8 no.1
• /
• pp.18-21
• /
• 2001

The change of sleep pattern is one of the most often altered normal physiological functions in elderly people. Besides normal change of sleep, insomnia and sleep apnea syndrome (SAS) are (one of) the main complaints. In addition, parasomnia is also frequent in this age group. Several parasomnias frequently found in the elderly are reviewed. Periodic limb movements in sleep (PLMS), restless legs syndrome (RLS), and REM sleep behavior disorder are the most frequent parasomnias in old age. Most parasomnias could be diagnosed by polysomnography, and be treated easily. Therefore, early and precise diagnosis and management for parasomnia in aging people are needed.

• Journal of mucopolysaccharidosis and rare diseases
• /
• v.1 no.2
• /
• pp.35-39
• /
• 2015

Sleep problems occur frequently among patients with Prader-Willi syndrome (PWS). The most common problem is excessive daytime sleepiness (EDS) that are closely related to of sleep-related breathing disorder (SRBD) such as obstructive sleep apnea (OSA) and congenital hypoventilation syndrome. Obesity, craniofacial dysmorphism and muscular hypotonia of patients with PWS may increase the risk of SRBD. Sleep apneas can interrupt the continuity of sleep, and these disruptions result in a decrease in both the quality and quantity of sleep. In addition to SRBD, other sleep disorders have been reported, such as hypersomnia, a primary abnormality of the rapid eye movement (REM) sleep and narcolepsy traits at sleep onset REM sleep. Patients with PWS have intrinsic abnormalities of sleep-wake cycles due to hypothalamic dysfunction. The treatment of EDS and other sleep disorders in PWS are similar to standard treatments. Correction of sleep hygiene such as sufficient amount of sleep, maintenance of regular sleep-wake rhythm, and planned naps are important. After comprehensive evaluation of sleep disturbances, CPAP or surgery should be recommended for treatment of SRBD. Remaining EDS or narcolepsy-like syndrome are controlled by stimulant medication. Bright light therapy might be beneficial for disturbed circadian sleep-wake rhythm caused by hypothalamic dysfunction.

• Sleep Medicine and Psychophysiology
• /
• v.11 no.2
• /
• pp.84-88
• /
• 2004

Objectives: Obstructive sleep apnea (OSA) syndrome is diagnosed through history, physical examination, imaging studies and polysomnography. Clinical examination of this condition may point to hypertrophic tonsils and crowded oropharynx. The objective of this study is to investigate the usefulness of modified Mallampati grade (MMG) and tonsil grade (TG) in predicting the severity of obstructive sleep apnea. Methods: MMG and TG were divided into 4 and 5 groups, respectively, according to their severity. Medical records were collected from 94 patients who had received polysomnography and otorhinolaryngologic examination for snoring and sleep apnea at Keimyung University Dongsan Medical Center from March 2002 through April 2004. Patients were divided into two groups according to the apnea-hypopnea index (AHI)：control (n=24), and patients with sleep apnea (n=70). Results: Patients with higher MMG and TG had higher AHI, and MMG and TG proved to have a statistically significant correlation with AHI (p<0.05) Conclusion: MMG and TG were reliable predictors of OSA and helpful parameters in deciding treatment method.

• Sleep Medicine and Psychophysiology
• /
• v.18 no.2
• /
• pp.67-71
• /
• 2011

Schizophrenia is a chronic, currently incurable, and devastating syndrome. Although sleep disturbances are not primary symptoms of schizophrenia, they are important aspects of schizophrenia. Difficulties initiating or maintaining sleep are frequently encountered in patients with schizophrenia. Many schizophrenics report low subjective sleep quality. Measured by polysomnography, increased sleep latency as well as reduced total sleep time, sleep efficiency, slow wave sleep, and rapid eye movement sleep latency (REM latency), are found in most patients with schizophrenia and appear to be an important aspect of the pathophysiology of this disorder. Some literatures suggest that worsening sleep quality precedes schizophrenic exacerbations. Co-morbid sleep disorders such as obstructive sleep apnea (OSA) and restless legs syndrome (RLS), and sleep-disrupting behaviors associated with schizophrenia may lead to sleep disturbances. Clinicians should screen the patient with sleep complaints for primary sleep disorders like OSA and RLS, and carefully evaluate sleep hygiene behaviors of all patients with schizophrenia who complain of sleep disturbances.

• Korean Journal of Clinical Laboratory Science
• /
• v.39 no.2
• /
• pp.141-146
• /
• 2007

Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a disorder characterized by the repetitive collapse of the pharyngeal airway during sleep, which leads to oxygen desaturation, sleep fragmentation, daytime sleepiness, and increased risk for hypertension and stroke. We investigated the clinical factors related to the severity of OSAHS. Polysomnography was performed in three hundred and ninety five consecutive adult patients with clinical symptoms of obstructive sleep apnea syndrome. All patients completed the sleep questionnaire and the Epworth Sleepiness Scale before polysomnography. Patients were classified into four groups based on the severity of their polysomnographic data: Non-OSA group, characterized by Apnea-Hypopnea Index (AHI) < 5; mild OSA group, by AHI 5-15; moderate OSA group, by AHI 16-30; and severe OSA group, by AHI > 30. Neck circumference was also measured at the cricothyroid level. A total of 395 patients (336 men and 59 women) were studied. In the non-OSA group, there were 55 patients; their mean neck circumference was $39.63{\pm}4.24cm$ and mean BMI was $24.48{\pm}3.53$. In the mild group, there were 101 patients; their mean neck circumference was $41.93{\pm}3.75cm$ and mean BMI was $25.33{\pm}2.94$. In the moderated group, there were 93 patients; their mean neck circumference was $43.27{\pm}3.50cm$ and BMI was $25.90{\pm}2.88$. In the severe group, there were 146 patients; their mean neck circumference was $44.94{\pm}3.93cm$ and mean BMI was $26.81{\pm}3.76$. Men had significantly larger neck circumference than women ($Mean{\pm}SD$, $43.72{\pm}3.83$ vs $39.17{\pm}4.30$, p < 0.001), and higher AHI than women ($29.12{\pm}22.65$ vs $14.63{\pm}14.11$, p < 0.001). Multiple regression analysis revealed that neck circumference was the most significant predictor of AHI. Neck circumference and BMI were positively correlated with the severity of OSAHS. The severity of OSAHS was greater in men than in women.