• Sleep Medicine and Psychophysiology
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• v.5 no.2
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• pp.155-169
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• 1998

Attentional dysfunction is considered as one of the core deficits in schizophrenic process. The findings, pathophysiological mechanisms, and their clinical implications of clinical and experimental neurocognitive tests for the attentional impairment in schizophrenics are reviewed. The influences of psychopathology, antipsychotic treatment, and chronic institutionalization are also included in the review. In contrast, there are only a few evidences that attentional dysfunction would be a core deficit of depressive, manic, and anxiety disorders. Some recent findings of attentional impairment in these disorders are reviewed.

• Sleep Medicine and Psychophysiology
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• v.18 no.2
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• pp.72-75
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• 2011

Sleep disorders such as insomnia, obstructive sleep apnea (OSA), and restless legs syndrome (RLS) are very common disorders and may cause significant burden in terms of individual as well as societal aspects. Sleep insufficiency from such sleep disorders may cause deleterious effects on daily work life and may be associated with other major medical or psychiatric disorders including cardiovascular disease, diabetes mellitus, depression, and anxiety disorder. Various motor or occupational accident may result from the sleep problems. In addition, recent researches provide the method to evaluate the lost productivity time in terms of absenteeism and presenteeism. Moreover, several studies on cost-effectiveness of treatment of sleep disorders show that it is cost-effective.

• Sleep Medicine and Psychophysiology
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• v.3 no.2
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• pp.56-64
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• 1996

The sleeplessness in childhood is quite different from that in adulthood in terms of causes, developmental process, and treatment. Sleep behavior in childhood is strongly influenced by parental personality and familial and cultural background. In understanding and management of sleeplessness of children, it is especially important to understand the separation anxiety and the ways of its management in bedtime because bedtime routine with children one of separation process from parents. Co-sleeping, parental intervention, transional object and bedtime routines can be appeared in order to reduce the anxiety from bedtime separation. Causes of sleeplessness in infant and toddler are bad sleep-onset association, nocturnal drinking, colic, and food allergy. In preschool and school aged children, limit-setting sleep problem and fears and nightmare can be causes of sleeplessness. When good sleep environment and habits are established sound sleep and more mature personality can be developed.

• Sleep Medicine and Psychophysiology
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• v.16 no.1
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• pp.10-15
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• 2009

Sleep problems and disorders are common in patients with cancer. Sleep of the cancer patients is affected by various factors, including thermoregulatory changes associated with chemotherapy and radiotherapy, cancer related symptoms, such as pain, fatigue, and emotional difficulties. As one of the most common symptoms in cancer patients, fatigue is positively correlated with sleep difficulties. Cytokine is also frequently associated with chemotherapy and radiotherapy. It provokes excessive daytime sleepiness and hypersomnia. Medications for controlling pain, depression, and anxiety can affect sleep of the cancer patients. Medications as well as behavior therapy are reported to be effective for controlling sleep problems, and the physicians need to be accustomed to use the modalities appropriately. This paper reviews causative factors, evaluation, and management of sleep problems and disorders, experienced by cancer patients.

• Sleep Medicine and Psychophysiology
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• v.17 no.1
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• pp.16-20
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• 2010

Objectives: We review the sleep problems of the alcohol dependence patients. Especially we are interested in the prevalence, the severity of symptoms, anxiety, depression, and sleep quality of restless legs syndrome (RLS) in the alcohol dependence patients. Methods: We recruit 86 alcohol dependence patients who were admitted from October 6th, 2008 to October 17th, 2008. We interviewed each patient and evaluated sleep questionnaires such as the Sleep Disorder Questionnaire (SDQ), the Pittsburgh Sleep Quality Index (PSQI) and the International Restless Legs Syndrome Study Group (IRLSSG) rating scale. The presence of RLS and its severity were assessed using the IRLSSG diagnostic criteria and the IRLSSG severity scale, respectively. Depression and anxiety were evaluated by the Beck Depression Inventory (BDI) and the Beck anxiety inventory (BAI). Results: Of all 86 patients, 59 patients have insomnia, 33 patients have RLS, 30 patients have Periodic limb movement disorder (PLMD), 29 patients have nightmare. RLS patients have more high score in the BAI ($21.70{\pm}10.36$ vs $14.67{\pm}11.98$), and their sleep quality was poor in the PSQI ($11.09{\pm}4.08$ vs $7.92{\pm}3.91$) than non-RLS patients. Conclusion: This study shows that alcohol dependence patients show many sleep problems such as insomnia and RLS. So we should notice that the sleep problems of alcohol dependence patients are important in clinical approach and treatment.

• Sleep Medicine and Psychophysiology
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• v.26 no.2
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• pp.104-110
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• 2019

Objectives: Insomnia patients who visited the psychiatric outpatient of a university department, were divided into those patients with insomnia alone and those with depression or anxiety disorder, along with insomnia. The study analyzed their demographic characteristics and the differences in State-Trait Anxiety Inventory (STAI) results among the patient groups. Methods: Patients who visited the psychiatric department in Konkuk University hospital from 1 January 2006 to 31 December 2018. If they were diagnosed with insomnia disorder based on DSM IV-TR and had undergone STAI, their electronic records were retrospectively analyzed. Based on the records, the patients were classified into those with insomnia disorder only, those with insomnia and anxiety disorder, and those with insomnia and depressive disorder. This study analyzed the demographic characteristics and STAI results of each group, and compared the differences among those groups. Results: During the period, 99 of 329 insomnia disorder patients who had performed STAI were diagnosed with depressive concurrent disorder and 61 with concurrent anxiety disorder. There was no difference in demographic characteristics of age and sex ratio among the three patient groups, and all had greater than 70% proportions of patients aged from 50s to 70s (71.8%, 77.1%, and 73.8% respectively). The average scores of STAI-I were 51.85 ± 10.15 for the patients with anxiety disorders and 54.18 ± 10.32 for those with depressive disorders, both of which were higher than the score of the patients with insomnia alone (44.55 ± 8.89). However, the score difference was not statically significant between the anxiety and depression groups. Similarly, in the STAI-II comparison, the averages of patients with anxiety or depressive disorders along with insomnia were 49.98 ± 8.31 and 53.19 ± 10.13 respectively, which were higher than that of the insomnia only group (42.71 ± 8.84), but there was no significant difference between the anxiety and depressive disorder groups. Conclusion: Although there were no differences in demographic data between the patients with insomnia only and those with accompanying depressive or anxiety disorder, the STAI-I and II scores were lower in the insomnia only group. In the future, it is necessary to consider other demographic characteristics including comorbidities and to conduct similar analyses with a larger sample.

• Sleep Medicine and Psychophysiology
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• v.12 no.1
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• pp.50-57
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• 2005

Objectives: This study was designed to evaluate the differences in clinical characteristics and severity of symptoms between panic patients with and without comorbid major depressive disorder, and to ascertain the differences in the function of the autonomic nerve system measured by heart rate variability (HRV). Methods: The subjects were 60 patients who have panic disorder without major depressive disorder and 19 patients who met DSMIV criteria for both panic disorder and major depressive disorder. First, they drew up symptom checklists and self-rating scales, and were measured by Anxiety Disorder Inventory Schedule-Panic Attack & Agoraphobia (ADIS-P&A), Clinical Global Impression (CGI), Hamilton Rating Scale for Depression (HAM-D), Panic Disorder Severity Scale (PDSS) and Heart Rate Variability (HRV). For statistical analysis, we performed t-test to compare the scores of self reported scales and clinician’s rating scales in panic patients with comorbid major depressive disorder and those without major depressive disorder. ANCOVA was used to compare the variables of HRV, considering age as a covariate. Results: The subjective severities of depression and anxiety that comorbid patients complained of were higher than those of patients with only panic disorder. Futhermore, comorbid patients were more sensitive to anxiety and physical sensations, and they tend to be more negative in their thinking. The scores of clinician-rating scales such as CGI and PDSS were also higher in the comorbid patients. However, there were no significant differences in HRV variables between both groups, despite a tendency to low heart rate variability in the comorbid group. Conclusion: This study suggests that patients with panic disorder and comorbid major depressive disorder tend to complain of more symptoms and to be more sensitive to various symptoms than those with panic disorder without comorbid depression. However, in this study comorbid major depressive disorder did not have a significant impact on the HRV variables of patients with panic disorder.

• Sleep Medicine and Psychophysiology
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• v.4 no.1
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• pp.107-119
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• 1997

Objectives: The psychophysiologic response pattern between healthy subjects and patients with generalized anxiety disorder, and the relationship among anxiety rating scales and those patterns in patients were examined. Methods: Twenty-three patients with generalized anxiety disorder(AD) and 23 healthy subjects were evaluated by Hamilton Rating Scale for Anxiety(HRSA) and State-Trait Anxiety Inventory before baseline stressful tasks. Subjective Units of Distress were evaluated just before baseline period, immediately after stressful tasks, at the end of the entire procedure, and psychophysiologic measures, i.e., skin temperature(ST), electromyographic activity(EMG), heart rate(HR), electrodermal response(EDR) during baseline & rest and during two psychologically stressful tasks (mental arithmetic, TM; talk about a stressful event, TT) were also evaluated. Results: 1) AD group showed significantly higher EMG level during rest after stressful tasks and higher HR level during all period except TM compared to control group. 2) AD group showed lower change in the startle response(SR) of ST, in the SR & the recovery response(RR) of EMG during TM, and in the RR of EDR immediately after TM than control group. AD group showed that the RR of EDR was significantly lower than the SR during stressful tasks. 3) We found that there was significantly negative correlation between state anxiety and the RR of EDR after TT in AD group. We also found that there were significantly positive correlations between HRSA score and the SRs of EDR during stressful tasks, and between state anxiety and the SR of EDR during TT. Conclusion: Our results suggest that patients with generalized anxiety disorder show higher autonomic arousal than healthy subjects and decreased physiologic flexibility or reduced autonomic flexibility.

• Sleep Medicine and Psychophysiology
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• v.27 no.1
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• pp.24-31
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• 2020

Objectives: Subjective-objective discrepancy of sleep (SODS) is a common symptom and one of the major phenotypes of insomnia. A distorted perception of sleep deficit might be related to abnormal brain reactivity to insomnia-related stimuli. We aimed to investigate differences in brain activation to insomnia-related stimuli vs. general anxiety-inducing stimuli among insomnia patients with SODS, insomnia patients without SODS, and healthy controls (HCs). Methods: All participants were evaluated for subjective sleep status using a sleep diary and questionnaires; occult sleep disorders and objective sleep status were assessed using polysomnography and actigraphy. Task functional magnetic resonance imaging was performed during insomnia-related stimuli (Ins) and general anxiety-inducing stimuli (Gen). Brain reactivity to Ins versus Gen was compared among insomnia with SODS, insomnia without SODS, and HC groups, and a combined insomnia disorder group (ID, insomnia with and without SODS) was also compared with HCs. Results: In the insomnia with SODS group compared to the insomnia without SODS group, the right precuneus and right supplementary motor areas showed significantly increased BOLD signals in response to Ins versus Gen. In the ID group compared to the HC group, the left anterior cingulate cortex showed significantly increased BOLD signals in response to Ins versus Gen. Conclusion: The insomnia with SODS and ID groups showed higher brain activity in response to Ins versus Gen, while this was not observed in the insomnia without SODS and HC groups, respectively. These results suggest that insomnia patients with sleep misperception are more sensitive to sleep-related threats than general anxiety-inducing threats.

• Sleep Medicine and Psychophysiology
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• v.21 no.2
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• pp.69-73
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• 2014

Objectives: This study was designed to assess the change of heart rate variability (HRV) at resting, upright, and psychological stress in anxiety disorder patients. Methods: HRV was measured at resting, upright, and psychological stress states in 60 anxiety disorder patients. We used visual analogue scale (VAS) score to assess tension and stress severity. Beck depression inventory (BDI) and state trait anxiety inventories I and II (STAI-I and II) were used to assess depression and anxiety severity. Differences between HRV indices were evaluated using paired t-tests. Gender difference analysis was accomplished with ANCOVA. Results: SDNN (Standard deviation of normal RR intervals) and low frequency/high frequency (LF/HF) were significantly increased, while NN50, pNN50, and normalized HF (nHF) were significantly decreased in the upright position compared to resting state (p < 0.01). SDNN, root mean square of the differences of successive normal to normal intervals, and LF/HF were significantly increased, while nHF was significantly decreased in the psychological stress state compared to resting state (p < 0.01). SDNN, NN50, pNN50 were significantly lower in upright position compared to psychological stress and nVLF, nLF, nHF, and LF/HF showed no significant differences between them. Conclusion: The LF/HF ratio was significantly increased after both physical and psychological stress in anxiety disorder, but did not show a significant difference between these two stresses. Significant differences of SDNN, NN50, and pNN50 without any differences of nVLF, nLF, nHF, and LF/HF between two stresses might suggest that frequency domain analysis is more specific than time domain analysis.