• Anxiety and mood
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• v.3 no.1
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• pp.32-40
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• 2007

Objectives : To investigate the validity of an abbreviated self-rated Korean version of MINI (Mini International Neuropsychiatric Interview) patient health survey which screening social anxiety disorder, panic disorder, generalized anxiety disorder, and major depressive disorder. Methods : 115 subjects completed MINI and MINI patient health survey. The validity of MINI patient health survey was assessed by whether the results from MINI patient health survey were compatible with the results from MINI or not. The Cohen's kappa value, specificity, sensitivity, positive predictive value, and negative predictive value was calculated for this purpose. Results : The Kappa values of social anxiety disorder (0.60), panic disorder (0.49), generalized anxiety disorder (0.60) and major depressive disorder without other co-morbid disorder (0.59) were at least moderate in strength of agreement. Conclusion : The abbreviated self-rated Korean version of MINI patient health survey has the moderate to good validity in social anxiety disorder, panic disorder, generalized anxiety disorder, and major depressive disorder without other co-morbid disorders. Our result suggests that this instrument might be useful for screening above 4 disorders if it is used under careful supervision of experienced clinicians.

• Anxiety and mood
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• v.7 no.1
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• pp.16-21
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• 2011

Objective : Depressive symptoms often coexist with other anxiety disorder symptoms. Furthermore, an anxiety disorder that is comorbid with a depressive disorder results in more severe symptoms and a poorer outcome prognosis. To understand the construct of depressive symptoms in anxiety disorder, this study investigated the factor structure of the Beck Depression Inventory among outpatients with anxiety disorders. Methods : All data were from psychiatric department outpatients at a university-affiliated hospital. We conducted a principal component analysis using data from 194 outpatients with DSM-IV anxiety disorders and calculated goodness-of-fit-indices. Results : Exploratory factor analysis revealed a four factor structure--Cognitive-affective symptoms (Factor 1), Somatic symptoms (Factor 2), Self-reproach (Factor 3), and Hypochondriasis/indecisiveness (Factor 4)--and a 57% total variance. This four-factor model demonstrated an acceptable level of model fit, and it fit better than did a three-factor solution from the literature on depressive disorder. Conclusion : This study's results suggest a difference in the construct of self-reported depressive symptoms in anxiety disorders. These findings also support a dimensional approach to studying anxiety and depression. Further studies may benefit from including comorbid depressive disorder and its influence on anxiety disorders.

• Anxiety and mood
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• v.2 no.2
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• pp.136-141
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• 2006

Objectives : This study aimed to investigate the therapeutic effect of combined biofeedback training with pharmacotherapy for patients with anxiety disorder. Methods : 12 patients with panic disorder and generalized anxiety disorder were enrolled this study. They were tested for State Trait Anxiety Inventory-State (STAI-S), State Trait Anxiety Inventory-Trait (STAI-T), Beck's Depression Inventory (BDI) and Symptom CheckList-90-Revision Somatization (SCL-90-R-SOM) before and after the biofeedback training program. Results : The score of STAI-T (p=0.023) and BDI (p=0.0018) were the significantly decreased after the biofeedback training program. In Female group, the score of STAI-T (p=0.028), STAI-S (p=0.028) and BDI (p=0.009) were significantly decreased after the biofeedback training program. In the group which age is lower than 40 years old, the score of BDI (p=0.046) were significantly decreased after the biofeedback training program. In Panic disorder group, the score of STAI-S (p=0.046) were significantly decreased after the biofeedback training program. Conclusion : The result of this study is useful for the treating the anxiety disorder patients using the biofeedback training program.

• Journal of Oriental Neuropsychiatry
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• v.16 no.2
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• pp.35-42
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• 2005

Objective : The relations of the heart size and seven emotions were described in Dong Yi Bo Gam, and we aimed to identify the correlations of the patients with anxiety disorder and their heart sizes. Methods : The subjects were 15 patients with anxiety disorder and 20 control groups. Chest radiography were performed. We measured patients' heart sizes and compared with control groups. Results : 1. The signigicant difference of somatization, anxiety, depression scale and Panic anxiety scale in SCL-90-R in patients with anxiety disorder from controls was confirmed. 2. The difference of thoracic sizes in patients with anxiety disorder and controls had no correlations. 3. The difference of heart sizes in patients with anxiety disorder and controls had no correlations. 4. The difference of cardiothoracic ratio in patients with anxiety disorder and controls had negative correlations. Conclusions : Based on these results, the patients with anxiety disorders and their heart sizes had no correlations. But in cardiothoracic ratio had negative correlations. So heart size and seven emotions have significant correlation.

• Anxiety and mood
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• v.1 no.1
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• pp.18-24
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• 2005

The Diagnostic and Statistical Manual 4th edition (DSM-IV) has been widely accepted and used for international classification of mental disorder. The DSM has been changed to improve diagnostic reliability and validity through descriptive and categorical approaches which was undertaken atheoretically. The authors reviewed current studies about the DSM-IV classification system and the diagnostic issues of representative categories of anxiety disorder. The authors concluded that the anxiety disorder classification system in DSM-IV has limitations such as a lack of empirical consideration for overlapping features of anxiety disorders and a lack of discriminant validity. To improve diagnostic validity and revise the current DSM-IV classification system, the authors suggested 1) more longitudinal studies for collecting empirical evidence, 2) decreasing the dependence upon operational criteria, 3) deceasing diagnostic boundary blurring, 4) developing disease specific biological diagnostic techniques and 5) continued collaboration between the DSM and International Classification of Diseases (ICD) systems.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.242-248
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• 2024

Contemporary societal and environmental transformations coincide with the emergence of novel mental health challenges. anxiety disorder, a chronic and highly debilitating illness, presents with diverse clinical manifestations. Epidemiological investigations indicate a global prevalence of 5%, with an additional 10% exhibiting subclinical symptoms. Notably, 9% of adolescents demonstrate clinical features. Untreated, anxiety disorder exerts profound detrimental effects on individuals, families, and the broader community. Therefore, it is very meaningful to predict anxiety disorder through machine learning algorithm analysis model. The main research content of this paper is the analysis of the prediction model of anxiety disorder by machine learning algorithms. The research purpose of machine learning algorithms is to use computers to simulate human learning activities. It is a method to locate existing knowledge, acquire new knowledge, continuously improve performance, and achieve self-improvement by learning computers. This article analyzes the relevant theories and characteristics of machine learning algorithms and integrates them into anxiety disorder prediction analysis. The final results of the study show that the AUC of the artificial neural network model is the largest, reaching 0.8255, indicating that it is better than the other two models in prediction accuracy. In terms of running time, the time of the three models is less than 1 second, which is within the acceptable range.

• Anxiety and mood
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• v.9 no.1
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• pp.3-9
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• 2013

Intolerance of uncertainty (IU) is defined as the tendency to react negatively on an emotional, cognitive, and behavioral level to uncertain situations and events. However, this definition is somewhat categorical and does not explain the phenomenology of IU. Intolerance of uncertainty scale (IUS), the standard measure of IU, was considered to have two factors : 'unacceptability and avoidance of uncertainty' and 'uncertainty leading to the inability to act'. IU may be a cognitive vulnerability factor for clinical worry and generalized anxiety disorder (GAD). A number of moderators and mediators including cognitive avoidance, experiential avoidance and rumination influence the relationship between IU, worry, obsessive-compulsive symptoms, anxious and depressive symptoms. IU may be more strongly related to the symptoms of GAD than to symptoms of other anxiety disorders including obsessive-compulsive disorder (OCD), and major depressive disorder. IU may serve as an important transdiagnostic feature across anxiety and depressive disorders. Incorporating IU-specific treatment components into therapeutic protocols may result in pervasive benefits, and not only for those with GAD or OCD, but for people with any anxiety disorder or with depression.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.19 no.3
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• pp.182-189
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• 2008

Objectives: This study aimed to evaluate preliminarily the clinical effects of cognitive-behavioral treatment in children with anxiety disorders. Methods: Subjects were 11 children between 2nd and 6th grade with anxiety disorder. All subjects were diagnosed through Kiddie-Schedule for Affective Disorder and Schizophrenia Present and Lifetime Version (K-SADS-PL) interview. The CBT program consisted of sessions once a week (60min/session) for 14 weeks with parent education. Results: Children and parents reported significantly improved social skills, social competence and decreased anxiety. However, there were no significant changes in children's negative thoughts and subjective depressive symptoms. Conclusion: Cognitive-behavioral treatment is expected to be effective in children with anxiety disorders such as generalized anxiety disorder, phobia, separation anxiety disorder, and obsessive-compulsive disorder.

• Korean Journal of Psychosomatic Medicine
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• v.28 no.1
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• pp.81-88
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• 2020

Objectives : This study aimed to compare autonomic nervous system (ANS) dysregulation and differential relationships with clinical severities between anxiety disorder, depressive disorder, and trauma·stressor related disorder using heart rate variability (HRV) parameters. Methods : We conducted a retrospective chart review of outpatients from 2017 to 2018 in Stress Clinic of National Center for Mental Health. Total 473 patients were included; 166 anxiety disorder; 184 depressive disorder ; 123 trauma·stressor related disorder. Parameters of 5-min analysis of HRV were compared in three groups. Additionally, we investigated the differential association of each parameters with Clinical Global Impression-Severity Scale (CGI-S) across each group. Results : No significant differences were found in all HRV parameters between the three groups. However, significant group interactions by CGI-S were found in standard deviation of all RR intervals (SDNN) and the square root of the mean squared differences of successive normal-to-normal intervals (RMSSD) (SDNN, p=0.017 ; RMSSD, p=0.034). A negative relationship between CGI-S and SDNN, RMSSD has been found in anxiety disorder and depressive disorder. However, a positive relationship between CGI-S and SDNN, RMSSD has been found in trauma·stressor related disorder. Conclusions : Despite of no significant differences of each HRV parameter, our findings suggested the differential associations of HRV parameters with clinical severity among anxiety disorder, depressive disorder and trauma·stressor related disorder. In trauma·stressor related disorder, the clinical severity and degree of ANS dysregulation may differ, so more aggressive treatment is suggested.

• Journal of Oriental Neuropsychiatry
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• v.14 no.2
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• pp.127-134
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• 2003

This is a case report of a patient with mixed anxiety and depressive disorder treated by Punsimgieum. The symptoms of the patient were anxiety(agitation), numbness(paresthesia), nausea, dyspepsia, insomnia and hopelessness. In this case, we administrated Punsimgieum to a patient suffering from anxiety and depressive disorder symptoms. After administration of Punsimgieum medication clinical symptoms improved Punsimgieum showed desirable effect on anxiety and depressive disorder symptoms.