• Clinical and Experimental Pediatrics
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• v.51 no.1
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• pp.62-66
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• 2008

Purpose : In addition to epileptic seizures (ES), a variety of physiologic, organic and psychogenic disorders can manifest as paroxysmal behavioral events. Paroxysmal nonepileptic events (PNEs) are quite encountered in infants, young children, and adolescents. In a substantial proportion of cases, a careful history and examination will elucidate their nature. However, in other cases, it is necessary to differentiate PNEs from ES by video-electroencephalographic (EEG) monitoring. We report our experiences with PNEs in a group of children and adolescents who underwent video-EEG monitoring. Methods : From September, 2004 to June, 2006, one hundred thirty patients were monitored in the Pediatric Epilepsy Monitoring Units of Korea University Guro and Ansan hospitals. Their hospital charts were reviewed and video records of these events were analyzed. We observed all patients after video-EEG monitoring for more than 3 months. Results : Typical spells occurred during monitoring in 33 patients, not associated with a seizure pattern on EEG recordings. Two patients were diagnosed as frontal lobe epilepsy on basis of typical semiology and clinical characteristics, so 31 patients were documented to have PNEs finally. The mean age of patients was $7.2{\pm}5.8\;years$. The male to female ratio was 15 (48.4%) to 16 (51.6%). Among 31 patients, fifteen patients had associated disorders such as epilepsy, developmental delay, cerebral palsy, gastric ulcer, attention deficit hyperactivity disorder or depressive disorder. Somatoform disorder and factitious disorder was frequently seen in children more than 5 years old (P<0.05). Psychogenic disorder was more frequent in female (n=6) than in male (n=2) but there was no statistical significance (P>0.05). Conclusion : Our study suggests that video-EEG monitoring is an important diagnostic tool in the evaluation of paroxysmal behavioral events. With correct diagnosis of the PNEs, several unnecessary treatment could be avoided.

• Sleep Medicine and Psychophysiology
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• v.26 no.1
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• pp.33-43
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• 2019

Objectives: Bipolar disorder is characterized by repetitive relapses that result in psychosocial dysfunctions. The functioning of bipolar disorder patients is related to the severity of symptoms, quality of sleep, drug compliance, and social support. The purpose of this study was to investigate the association between sociodemographic and clinical factors and functional status in bipolar disorder patients. Methods: A total of 52 bipolar disorder patients participated in the study. The following scales were utilized: Korean version of personal and social performance scale (K-PSP), Korean version of Hamilton rating scale for depression (K-HDRS), Korean version of young mania rating scale (K-YMRS), Korean version of pittsburgh sleep quality index (PSQI-K), Korean version of drug attitude inventory (K-DAI), mood disorders insight scale (MDIS), and multidimensional scale of perceived social support (MSPSS). Results: The K-PSP score showed a negative relationship with K-HDRS score (r = -0.387, p = 0.005), but not with K-YMRS score (r = -0.205, p = 0.145). The K-PSP score showed a negative relationship with global PSQI-K score (r = -0.378, p = 0.005) and overall sleep quality (r = -0.353, p = 0.010). The K-PSP scores were positively associated with the KDAI score (r = 0.409, p = 0.003) and MSPSS score (r = 0.334, p = 0.015). The predictive factors for K-PSP were overall sleep quality and social support from family. Conclusion: Our study showed that depressive symptoms were related to overall function in bipolar disorder. Also, our study suggested that improving sleep quality is important in maintaining functional status. Appropriate social support and positive perception toward the drug may lead to the higher level of functioning. This study is meaningful in that the functional status of bipolar disorder patients is analyzed in a multivariate manner in relation to various variables in psychosocial aspects.

• Korean Journal of Psychosomatic Medicine
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• v.7 no.1
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• pp.103-115
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• 1999

Objectives : A large of studies have found an association between premenstrual syndrome and affective disorder, in particular, depression. Some studies have reported that women with depressive disorders may experience menstrual cycle-associated changes in the severity of their symptoms. This study was designed to compare the characteristics of premenstrual changes between control group and affective patient group, and to assess possible risk factors for premenstrual changes in patients. Methods : Eighty normal controls and eighty outpatients given maintenance therapy with fixed dose for at least more than four weeks were asked to complete questionnaires on menstrual history, obstetric-gynecological history, and functional impairment. In addition, to compare the characteristics of premenstrual changes, 16 items based on DSM-IV criteria A for premenstrual dysphoric disorder were rated on the following scale : 0(no change), 1(mild), 2(moderate), 3(severe). Moderate or severe change in each item was considered as premenstrual change and the subjects who reported more than one premenstrual change were defined as premenstrual change group. Results : The results were as follows : 1) The percentage of premenstrual change group was 32.6% in patient group and 50% in control group. 2) Frequently reported premenstrual changes were as follows in control group : breast tenderness; anger ; affective liability ; lethargy, easy fatigability, or marked lack of energy ; abdominal pain or discomfort. In patients, the mood or behavioral changes were frequently reported. The changes were as follows : lethargy, easy fatigability, or marked lack of energy ; change in appetite; affective liability ; sense of difficulty in concentrating : hypersomnia or insomnia. 3) In the premenstrual change group, the patients with only mood or behavioral changes were significantly more than those with only physical changes or both changes. 4) The severity of functional impairment was significantly correlated with the frequency of mood or behavioral changes in patients. 5) There were no significant differences in menstrual characteristics between patients with premenstrual changes and patients without them except the severity of dysmenorrhea. And the severity of dysmenorrhea was correlated with the frequency of premenstrual change. Conclusion : The proportion of patients with affective disorder, who reported moderate-to-severe premenstrual changes, experiencing mood or behavioral changes larger than those experiencing physical changes during premenstrual period. It is possible that some patients with affective disorder, who reported premenstrual mood or behavioral changes, suffer from coexisting premenstrual syndrome with affective disorder or premenstrual exacerbation of affective disorder. Since the more premenstrual changes, the severer functional impairment, the patients reporting mood or behavioral disturbance in premenstrual period should be carefully evaluated, and appropriate therapeutic stategies might be considered.

• Korean Journal of Psychosomatic Medicine
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• v.26 no.1
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• pp.35-43
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• 2018

Objectives : Effects of multiple trauma are complex and extend beyond core PTSD symptoms. However, few psychological instruments for trauma assessment address this issue of symptom complexity. The Trauma Symptom Checklist-40 (TSC-40) is a self-report scale that assesses wide range of symptoms associated with childhood or adult traumatic experience. The purpose of the present study was to evaluate the validity of the Korean Version of the TSC-40 in a sample of psychiatric outpatients. Methods : Data of 367 treatment-seeking patients with DSM-IV diagnoses were obtained from an outpatient department of psychiatric unit at a university hospital. The diagnoses were anxiety disorder, posttraumatic stress disorder, depressive disorder, adjustment disorder and others. Included in the psychometric data were the TSC-40, the Life events checklist, the Impact of Event Scale-Revised, the Zung's Self-report Depression Scale, and the Zung's Self-report Anxiety Scale. Cronbach's ${\alpha}$ for internal consistency were calculated. Convergent and concurrent validity was approached with correlation between the TSC-40 and other scales (PTSD, anxiety and depression). Results : Exploratory factor analysis of the Korean Version of TSC-40 extracted seven-factor structure accounted for 59.55% of total variance that was contextually similar to a six-factor structure and five-factor structure of the original English version. The Korean Version of TSC-40 demonstrated a high level of internal consistency. (Cronbach's ${\alpha}=0.94$) and good concurrent and convergent validity with another PTSD scale and anxiety and depression scales. Conclusions : Excellent construct validity of The Korean Version of TSC-40 was proved in this study. And subtle difference in the factor structure may reflect the cultural issues and the sample characteristics such as heterogeneous clinical population (including non-trauma related disorders) and outpatient status. Overall, this study demonstrated that the Korean version of TSC-40 is psychometrically sound and can be used for Korean clinical population.

• Korean Journal of Psychosomatic Medicine
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• v.14 no.1
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• pp.53-61
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• 2006

Objectives: This study was designed to evaluate difference of the alexithymia between panic patients and normal controls by examination of the relationships between different components of the alexithymia construct and level of anxiety and depression in panic patients and normal controls. Methods The subjects were 167 patients who met DSM-IV criteria for panic disorder and 110 normal controls. They drew up symptom checklists and self-rating scales, and were measured by Anxiety Disorders Interview Schedule-Panic attack & Agoraphobia(ADIS-P & A), Korean version of Toronto Alexithymia Scale (TAS-20K), Spielberger State-Trait Anxiety Inventory-State & Trait (STAI-S & T), Beck Depression Inventory (BDI), and Revised Anxiety Sensitivity Index (ASI-R). For statistical analysis, we performed t-test to compare the sociodemographic characteristics and the scores of self reported scales between panic patients and normal controls. Pearson correlation was performed between TAS-20K and it's subfactors, STAI-S & T, ASI-R and BDI in panic patients and normal controls. And stepwise multiple regression analysis was preformed to explain results of correlation analysis for alexithymia. Results: The panic patients reported more significant alexithymic (p<0.001), more difficulty identifying feeling (p<0.001) and describing feeling (p=0.001) than normal controls. Futhermore, panic patients were more significant anxious, sensitive to anxious feeling and depressive than normal controls. Moreover, the alexithymia of panic patients was explained by trait-anxiety $({\Delta}R^2=0.255)$ and anxiety sensitivity $({\Delta}R^2=0.062)$, that of normal controls was predicted by depression $({\Delta}R^2=0.144)$ and anxiety sensitivity $({\Delta}R^2=0.033)$ Conclusion: The panic patients reported more anxious and sensitive to anxious feeling, and these symptoms predict alexithymia in panic patients. However, the alexithymia of normal controls was explained by depression more than anxiety sensitivity, and such a result isn't consistent with previous studies and this may be mainly due to difference of the homogeneity in object of the studies.

• Korean Journal of Psychosomatic Medicine
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• v.29 no.1
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• pp.26-33
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• 2021

Objectives : This study was designed to investigate datas related to panic attack and treatment in emergency room of panic disorder patients who visited emergency room for panic attack. Methods : A retrospective analysis of medical records was conducted on 92 patients with panic disorder who visited Chungju Konkuk university hospital emergency department due to panic attack and had bodily symptoms from 1st January 2010 to 31th December 2019. In addition to demographic characteristics and comorbid disorders, triggering stressors and alcohol consumption were corrected as pre-panic attack datas, bodily symptoms at the time of panic attack were corrected as datas during attack, electrocardiogram trial, consultation with psychiatrist, admission and information of used psychotropic drugs were corrected as post-attack data. Depending on size of data, Chi-square test or Fisher's exact test was used. Collected data was analyzed using R 4.03. Results : Cardiovascular disease was accompanied by 5.4% and depressive disorder was the most common coexisting mental disorder. Among triggering stressors, economic problem/work-related stress was significantly higher in men than women (𝛘²=4.322, p<0.005). The most common physical symptom during attack was circulatory (65.2%), followed by respiratory (57.6%), numbness-paralysis (33.7%), dizziness (19.6%), gastro-intestinal (14.1%) and autonomic symptom (12.0%). Electrocardiogram was taken at higher rate when patients complained circulatory symptom (𝛘²=8.46, p<0.005). The psychotropic drug most commonly used in emergency room was lorazepam, used in 92.1%. Conclusions : The most common bodily symptom during panic attack was circulatory symptom and the most common triggering stressor in men was economic problem/work-related stress. The most commonly used psychotropic for panic attack was lorazepam.