• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.63-70
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• 2019

We extract the symptom of panic disorder from the context awareness environment. It extracts body context information through natural movement that exists in everyday life and uses a component of panic disorder. The ontology theory can be used to provide information on the degree of symptoms of panic disorder through inference process. For the components of panic disorder to the information processing based on ontology are defined as Classes. Panic disorder index is expressed through ontology modeling so that the condition of panic disorder can be known. The derivation of panic disorder component and panic disorder index will enable context awareness based information service for panic disorder. The context information is periodically synchronized with the context awareness on based device. Panic disorder can be used to improve the lifestyle of panic disorder.

• 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.

• Korean Journal of Psychosomatic Medicine
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• v.10 no.2
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• pp.142-153
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• 2002

The authors intended to investigate personality characteristics and those influence on the outcome of cognitive behavioral therapy in patients with panic disorder. 167 patients who met DSM-IV criteria for panic disorder were assessed by the PDQ-R(Personality Disorder Questionnaire-Revision) and various self-report tools for assessing symptoms of panic disorder. The effect of therapy was measured by the changes of scores and the end state functioning before and after 12-sessions of CBT. The patients with panic disorder were more likely showed obsessive-compulsive, avoidant and paranoid personality disorder and also Cluster C. If is needed when patients were divided into two groups according to total scores of PDQ-R(high or low personality disorder groups), high personality disorder group showed many evidences for increased psychopathology at the start of treatments, this suggested the close linkage between panic disorder and personality disorder. Interestingly, there were no significant differences between both groups in scores of clinical variables and the end state functioning. In conclusion, although patients with high tendency of personality disorder had more generalized problems at the beginning of treatments, they could improve as much as the patients with low tendency of personality disorder. They can be helped by cognitive behavioral therapy for panic disorder and seem to profit as much as patients with low tendency of personality disorder. If is needed to seek other factors in poor responders for cognitive behavioral therapy.

• Korean Journal of Psychosomatic Medicine
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• v.3 no.2
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• pp.139-146
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• 1995

Forty patients meeting DSM-III-H criteria for panic disorder and 51 normal controls were assessed with the Personality Diagnostic Questionnaire-Revised(PDQ-R), a self-rating scale designed to assess Axis II personality disorders and traits. Results replicated previous findings of a preponderance of dependent, avoidant, and histrionic features. But our result showed other features such as paranoid, schizotypal, borderline, and antisocial traits also. Patients were divided into two groups according to the severity of their personality traits(high or low). These groups were compared in various panic symptomatology and SCL-90-R. None of the specific symptom dimensions in panic disorder, i.e. panic, anxiety, agoraphobia, social impairment, or chronicity was different between groups. Rather, high personality trait groups were found to have significantly more symptomatology in SCR-90-R than low personality groups. Result indicated that patients exhibiting a greater number of personality traits were also significantly more symptomatic. The results suggested a possible link beteween panic disorder and personality disorder. And, general factors such as depression, social or interpersonal sensitivity might provide a much better explanation of personality disorders in panic patients.

• 건강소식
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• v.36 no.9
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• pp.26-27
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• 2012

아무런 징조도 없이 갑자기 닥쳐온 극심한 불안과 공포를 겪은 적이 있는가? 최근 TV 프로그램에서 차태현, 김하늘, 김혜수, 이경규, 양현석 등 인기스타들이 '공황장애'를 고백해 눈길을 끌었다. 극심한 스트레스와 우울증으로부터 발병한다는 공황장애는 이제 더 이상 낯설지 않은 병이 되었다.

• Korean Journal of Psychosomatic Medicine
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• v.12 no.1
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• pp.76-85
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• 2004

Objectives: The purpose of the present study was to investigate the emotional state and personality characteristics of patient with panic disorder. Methods: Twenty patients with panic disorder, 21 patients with somatoform disorder, and 20 normal healthy controls were studied. Korean version of Beck Depression Inventory(BDI), State and Trait Anxiety Inventory(STAI) and Korean standardized edition of Cattell's 16 Personality Factors Questionnaire(16-PF) were used for assessment. Statistically, One-way ANOVA with Scheffe test were used by SPSS/PC for windows. Results: 1) Total score of BDI was higher in the panic group than the somatoform group and normal control group(p<0.001). 2) Total score of state anxiety and trait anxiety in the panic group was higher than the somatoform group and normal control group(p<0.001). 3) In 16 PF, there were no definitely abnormal range of scores. But in first-stratum source traits of 16PF, the panic group was higher than the somatoform group and normal healthy group in O-factor (p<0.01) and Q4-factor(p<0.001). In second-stratum source traits of 16PF, the panic group was higher than the somatoform group in ANX-factor(p<0.05), but lower than normal control group in TOUfactor(p<0.05). 4) There were no differences in the panic subgroup according to sex and cutoff points of BDI score 16 and STAI-T score 54. 5) According to cutoff point of STAI-S score 52, the panic subgroup above 52 was higher than the panic subgroup under 52 in G-factor(p<0.001), Q3-factor(p<0.05) and SUP-factor(p<0.001), but lower in L-factor(p<0.05). Conclusion: These results suggest that emotional state of patients with panic disorder are depressive and anxious as compared with patients with somatoform disorder and normal controls. Patients with panic disorder did not show any abnormal personality characteristics but were more guilt-prone, anxious, emotionally sensitive. We propose that the understanding of panic patients' emotional state and personality characteristics will helpful to treat and manage in patient with panic disorder.

• Journal of the Korean Society for information Management
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• v.38 no.2
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• pp.153-172
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• 2021

This study is to create a deep learning based classification model to examine the characteristics of panic disorder and to classify the panic disorder tendency literature by the panic disorder corpus constructed for the present study. For this purpose, 5,884 documents of the panic disorder corpus collected from social media were directly annotated based on the mental disease diagnosis manual and were classified into panic disorder-prone and non-panic-disorder documents. Then, TF-IDF scores were calculated and word co-occurrence analysis was performed to analyze the lexical characteristics of the corpus. In addition, the co-occurrence between the symptom frequency measurement and the annotated symptom was calculated to analyze the characteristics of panic disorder symptoms and the relationship between symptoms. We also conducted the performance evaluation for a deep learning based classification model. Three pre-trained models, BERT multi-lingual, KoBERT, and KcBERT, were adopted for classification model, and KcBERT showed the best performance among them. This study demonstrated that it can help early diagnosis and treatment of people suffering from related symptoms by examining the characteristics of panic disorder and expand the field of mental illness research to social media.

• Korean Journal of Psychosomatic Medicine
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• v.28 no.1
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• pp.53-62
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• 2020

Objectives : This study investigated lifetime experiences of trauma, treatment retention, and psychiatric symptoms among outpatients with panic disorder after initiation of pharmacotherapy. Our research hypothesis was that panic patients with childhood trauma would display more severe symptoms and less treatment retention compared to those without such history. Methods : A total of 135 first-visit outpatients with DSM-IV panic disorder were approached during the period from March 2012 to August 2016. Fifty-three patients (39%) either refused or returned incomplete questionnaires, leading to a final sample size of 82. Participants completed the Trauma History Screen, the Beck Depression Inventory, the Beck Anxiety Inventory, and the Abbreviated PTSD checklist. Results : The number of lifetime trauma was significantly correlated with treatment retention (rho=-0.269, p=0.015). Among subtypes of trauma, only childhood physical abuse was significantly correlated with treatment retention (rho=-0.298, p=0.007). Conclusions : Our results indicated that psychological trauma, particularly of an interpersonal nature from childhood, can affect pharmacotherapy treatment retention in panic disorder. This may be mediated by poor patient-doctor relationships originating from trust issues among childhood trauma survivors or lack of perceived improvement due to the more severe symptoms and unfavorable course experienced by those with childhood trauma. Further studies are needed to explore the reasons for poor treatment adherence in this population.

• Korean Journal of Psychosomatic Medicine
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• v.9 no.1
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• pp.58-65
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• 2001

Objectives : It is well known that pharmacologic and behavioral therapies of panic disorder show remarkable acute treatment outcome, however the course of panic disorder in clinical settings is often chronic and relapsing. The purpose of this study is to investigate the treatment outcome of panic disorder and the factors related to good treatment outcome by prospective follow-up study after 6 month in clinical settings. Methods : Twenty nine patients were diagnosed to have panic disorder by SCID(Structured Clinical Interview for DSM-III-R), among the patients who had visited the psychiatric out-patients clinic of the Asan Medical Center for the first time. We determined the initial clinical and demoraphic features of each patient and reevaluated them after 6 months, investigating the treatment outcome by anxiety, phobia, impairment scales. We looked into the rate of the patients who showed good treatment outcome and determined the factors that had relation with good treatment outcome among demographic and clinical features. Results : Nineteen out of 29 patients could be followed after 6 months. Among them, 10 patients 52.6%) on the impairment scale and phobia scale each, and 8 patients(42.1 %) on the anxiety scale showed good treatment outcome. 8 patients(42.1 %) showed good treatment outcome on the all three scales. High score in initial phobia scale had significant relation with good treatment outcome. Short duration of illness did not have significant relation with good treatment outcome however there was a trend(p=0.07). Conclusion : About half(42.1 %) of the panic disorder patients showed good treatment outcome on all three scales. Severe initial phobic symptom and short duration of illness were expected to have relation with good treatment outcome.

• 가정의 벗
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• v.37 no.7 s.431
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• pp.10-11
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• 2004

직장인 K씨는 최근 서울로 올라오는 고속도로상에서 차가 잠시 정체되어 있는 동안 갑자기 가슴이 답답하고 식은땀이 나며 심장이 심하게 뛰면서 숨이콱 막혀 금방이라도 죽을 것 같았다. 그대로 한참을 앉아 있다가 간신히 가까운 병원을 찾았지만, 검사결과 아무런 이상이 발견되지 않았다고 한다. 이런 병이 바로 '공황장애'이다.