Objective: This study investigated whether the discrepancy between desired time in bed and desired total sleep time (DBST) index could be a meaningful indicator for assessing insomnia severity in a clinical sample of patients with insomnia. Furthermore, we sought to identify the mediators of the association between DBST and insomnia severity in individuals with insomnia. Methods: We collected the medical records of 127 patients with insomnia. Each participant’s DBST index was calculated using sleep indices, including time and duration variables. Psychological symptoms were investigated using the Insomnia Severity Index (ISI), Patients Health Questionnaire-9 items (PHQ-9), Generalized Anxiety Disorder-7, Dysfunctional Beliefs and Attitudes about Sleep-16 items (DBAS-16), and Epworth Sleepiness Scale. Results: The DBST index was significantly correlated with the ISI (r=0.20, p<0.05), desired total sleep time (r=-0.52, p<0.001), and desired time in bed (r=0.32, p<0.01). Linear regression analysis revealed that insomnia severity was associated with age (β=-0.18, p=0.018), DBST (β=0.23, p=0.003), PHQ-9 (β=0.23, p=0.031), and DBAS-16 (β=0.42, p<0.001). The DBST directly influenced insomnia severity, although indirect effects of mediators were not significant. Conclusion The DBST index directly influenced insomnia severity regardless of the mediating effects of psychological factors among a clinical sample of patients with insomnia. This finding implies that the DBST index can be a simple measure of insomnia severity, even among patients with insomnia.

Objective: This study investigated whether the discrepancy between desired time in bed and desired total sleep time (DBST) index could be a meaningful indicator for assessing insomnia severity in a clinical sample of patients with insomnia. Furthermore, we sought to identify the mediators of the association between DBST and insomnia severity in individuals with insomnia. Methods: We collected the medical records of 127 patients with insomnia. Each participant’s DBST index was calculated using sleep indices, including time and duration variables. Psychological symptoms were investigated using the Insomnia Severity Index (ISI), Patients Health Questionnaire-9 items (PHQ-9), Generalized Anxiety Disorder-7, Dysfunctional Beliefs and Attitudes about Sleep-16 items (DBAS-16), and Epworth Sleepiness Scale. Results: The DBST index was significantly correlated with the ISI (r=0.20, p<0.05), desired total sleep time (r=-0.52, p<0.001), and desired time in bed (r=0.32, p<0.01). Linear regression analysis revealed that insomnia severity was associated with age (β=-0.18, p=0.018), DBST (β=0.23, p=0.003), PHQ-9 (β=0.23, p=0.031), and DBAS-16 (β=0.42, p<0.001). The DBST directly influenced insomnia severity, although indirect effects of mediators were not significant. Conclusion The DBST index directly influenced insomnia severity regardless of the mediating effects of psychological factors among a clinical sample of patients with insomnia. This finding implies that the DBST index can be a simple measure of insomnia severity, even among patients with insomnia.

Objective: This study investigated whether the discrepancy between desired time in bed and desired total sleep time (DBST) index could be a meaningful indicator for assessing insomnia severity in a clinical sample of patients with insomnia. Furthermore, we sought to identify the mediators of the association between DBST and insomnia severity in individuals with insomnia. Methods: We collected the medical records of 127 patients with insomnia. Each participant’s DBST index was calculated using sleep indices, including time and duration variables. Psychological symptoms were investigated using the Insomnia Severity Index (ISI), Patients Health Questionnaire-9 items (PHQ-9), Generalized Anxiety Disorder-7, Dysfunctional Beliefs and Attitudes about Sleep-16 items (DBAS-16), and Epworth Sleepiness Scale. Results: The DBST index was significantly correlated with the ISI (r=0.20, p<0.05), desired total sleep time (r=-0.52, p<0.001), and desired time in bed (r=0.32, p<0.01). Linear regression analysis revealed that insomnia severity was associated with age (β=-0.18, p=0.018), DBST (β=0.23, p=0.003), PHQ-9 (β=0.23, p=0.031), and DBAS-16 (β=0.42, p<0.001). The DBST directly influenced insomnia severity, although indirect effects of mediators were not significant. Conclusion The DBST index directly influenced insomnia severity regardless of the mediating effects of psychological factors among a clinical sample of patients with insomnia. This finding implies that the DBST index can be a simple measure of insomnia severity, even among patients with insomnia.

Objective: This study investigated whether the discrepancy between desired time in bed and desired total sleep time (DBST) index could be a meaningful indicator for assessing insomnia severity in a clinical sample of patients with insomnia. Furthermore, we sought to identify the mediators of the association between DBST and insomnia severity in individuals with insomnia. Methods: We collected the medical records of 127 patients with insomnia. Each participant’s DBST index was calculated using sleep indices, including time and duration variables. Psychological symptoms were investigated using the Insomnia Severity Index (ISI), Patients Health Questionnaire-9 items (PHQ-9), Generalized Anxiety Disorder-7, Dysfunctional Beliefs and Attitudes about Sleep-16 items (DBAS-16), and Epworth Sleepiness Scale. Results: The DBST index was significantly correlated with the ISI (r=0.20, p<0.05), desired total sleep time (r=-0.52, p<0.001), and desired time in bed (r=0.32, p<0.01). Linear regression analysis revealed that insomnia severity was associated with age (β=-0.18, p=0.018), DBST (β=0.23, p=0.003), PHQ-9 (β=0.23, p=0.031), and DBAS-16 (β=0.42, p<0.001). The DBST directly influenced insomnia severity, although indirect effects of mediators were not significant. Conclusion The DBST index directly influenced insomnia severity regardless of the mediating effects of psychological factors among a clinical sample of patients with insomnia. This finding implies that the DBST index can be a simple measure of insomnia severity, even among patients with insomnia.

REM sleep behavior disorder is parasomnia characterized by unpleasant dreams and dream-enactment behaviors associated with excessive electromyography activity in REM sleep. This may appear idiopathic or secondary to other neurological or medical conditions. REM sleep behavior disorder, which appears to be idiopathic, most often implies the possibility of later neurodegenerative diseases due to synucleinopathy, so accurate diagnosis is important in predicting prognosis. For the diagnosis of REM sleep behavioral disorder, REM sleep without atonia, which appears in the polysomnography, is essential. Obstructive sleep apnea, trauma-related sleep disorders, and vigorous periodic leg movements during sleep are known as diseases that show dream enactment behavior in elderly patients. Considering that it may be accompanied by other sleep disorders that can mimic REM sleep behavioral disorders, it is important to differentiate sleep

objectives: ：The aim of this study was to identify the factors affecting ideas of persecution in post-traumatic stress disorder (PTSD) patients who underwent Clinician-Administered PTSD Scale (CAPS) and Minnesota Multiphasic Personality Inventory-2 (MMPI-2). Methods: ：We retrospectively reviewed 116 patients who underwent CAPS and MMPI 2 between May 2013 and April 2020 at Veteran Health Service Medical Center. Based on the CAPS score, the patients were divided into the PTSD group (n=63, age: 58.16±17.84) and the trauma exposed without PTSD group (n=53, age: 67.34± 12.05). After checking the correlation between Ideas of persecution, CAPS, and MMPI-2 scales, linear regression analysis was performed to identify the risk factors for clinically relevant symptoms. Results: ：The PTSD group showed significant differences in Schizophrenia, Ideas of persecution, Dysfunc-tional negative emotions, Aberrant Experiences, Psychoticism, Negative Emotionality/Neuroticism, Anxiety, Depression, and Anger scales compared to the trauma-exposed without PTSD group. When analyzing the correlation between Idea of persecution, CAPS and MMPI-2 scales, there was a strong association with most of the scales in MMPI-2 and Idea of persecution except Disconstraint. Multiple linear regression analysis performed in PTSDgroup identified that risk factors for Idea of persecution were Dysfunctional negative emotions and Anger scale. Conclusions ：The PTSD group had increased idea of persecution compared to the trauma exposed without PTSD group. Dysfunctional negative emotions and anger may be risk factors for idea of persecution in trauma exposed population.

Objective: Positive airway pressure (PAP) compliance is important in treating obstructive sleep apnea. Previous studies have suggested that patients with economic burdens, discomfort using machines, and insufficient education have difficulty tolerating PAP machines. This study explored the factors affecting short-term adherence to PAP in a veterans medical center. Methods: The medical records of patients who underwent polysomnography at the Veterans Health Service Medical Center, Seoul, Republic of Korea, between July 2018 and January 2021 were reviewed retrospectively. Patients with an apnea-hypopnea index (AHI) ≥15 were included (n=579). PAP adherence was defined as continuous use for ≥21 days for ≥4 hours daily for 30 consecutive days for 90 days from the date of PAP prescription. Results: The PAP-adherent group (n=265, age 66.16±11.28 years) was younger and had more years of education, higher body mass indices, and lower scores in the Insomnia Severity Index and Beck Depression Inventory-II (BDI-II) than those of the PAP-nonadherent group (n=314, age 68.93±10.91 years). Patients who tolerated PAP had a higher AHI, longer duration of oxygen desaturation (less than 90%), and less dream enactment behavior (DEB) than that in those who did not. After adjusting for age, years of education, BDI-II, duration of oxygen desaturation, and presence of DEB, there were more patients with National Health Insurance (NHI) in the PAP-adherent group than in the PAP-nonadherent group (p<0.001). Conclusion We showed that patients with NHI recorded significantly higher adherence compared to that in patients without NHI, among other factors.

Background: To evaluate the therapeutic effectiveness and safety of a neurofeedback wearable device for stress reduction. Methods: A randomized, double-blind, controlled study was designed. Participants had psychological stress with depression or sleep disturbances. They practiced either neurofeedback-assisted meditation (n = 20; female, 15 [75.0%]; age, 49.40 ± 11.76 years) or neurofeedback non-assisted meditation (n = 18; female, 11 [61.1%]; age, 48.67 ± 12.90 years) for 12 minutes twice a day for two weeks. Outcome variables were self-reported questionnaires, including the Korean version of the Perceived Stress Scale, Beck Depression Inventory-II, Insomnia Severity Index, Pittsburgh Sleep Quality Index, and State Trait Anxiety Index, quantitative electroencephalography (qEEG), and blood tests. Satisfaction with device use was measured at the final visit. Results: The experimental group had a significant change in PSS score after two weeks of intervention compared with the control group (6.45 ± 0.95 vs. 3.00 ± 5.54, P = 0.037). State anxiety tended to have a greater effect in the experimental group than in the control group (P = 0.078). Depressive mood and sleep also improved in each group, with no significant difference between the two groups. There were no significant differences in stress-related physiological parameters, such as stress hormones or qEEG, between the two groups.Subjective device satisfaction was significantly higher in the experimental group than in the control group (P = 0.008). Conclusion Neurofeedback-assisted meditation using a wearable device can help improve subjective stress reduction compared with non-assisted meditation. These results support neurofeedback as an effective adjunct to meditation for relieving stress.

Posttraumatic stress disorder (PTSD) is well known to have a limited response to drug treatment. Many recently published clinical care guidelines recommend trauma-focused psychotherapies such as cognitive processing therapy (CPT) and prolonged exposure therapy (PE) as first-line treatment and medication such as sero-tonin reuptake inhibitors and venlafaxine as second-line treatment. Current review introduces the session composition and contents of CPT and presents various CPT studies that show therapeutic effect for civilian and veterans/military with PTSD. In order for clinicians to help effectively patients with PTSD, it is necessary to learn and actively use evidence-based trauma-focused psychotherapies including CPT and PE.

Clozapine is accepted as the “gold standard” antipsychotics for treatment-resistant schizophrenia. Clozapine rarely causes extrapyramidal syndrome and tardive dyskinesia, which are common with other antipsychotics, and only a transient elevation of hyperprolactinemia has been reported. Despite such clinical usefulness, there are limitations to the use of clozapine due to adverse drug reactions (ADR). Fever is a common in adverse drug reactions associated with clozapine. At initiation of clozapine most fatal ADR such as agranulocytosis and neuroleptic malignant syndrome associated with fever, in which case clozapine should be discontinued immediately. However, as benign causes of fever are much more frequent than life-threatening ADR, clozapine should not be discontinued unconditionally in the event of fever during clozapine initiation. In addition, fever may occur at any time during the maintenance of clozapine treatment. In particular, since the risk of pneumonia does not decrease over time, and clozapine has a higher risk of pneumonia than other antipsychotic drugs, it is recommended to adjust clozapine dosage through therapeutic drug monitoring.