• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.12-29
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• 2019

The purpose of this study is to develop the scenario for implementation of the rule-based counseling chatbot and to verify its usefulness. For this purpose, counseling scenario for exploring problems triggering depression and establishing early counseling relationships was built and user evaluations for the rule-base counseling chatbot were conducted on 10 counseling psychologists. As a result, clear counseling structuring, appropriate use of selective and narrative responses, and active listening were identified as important components of counseling chatbot. To the next step, the usefulness of counseling chatbot developed in the previous step was examined with 78 college students. As a result, active listening was found to be an important factor in improving user satisfaction and positive mood change. In addition, through qualitative analysis of user evaluation, the unique advantages of counseling chatbot were identified and the limitations of counseling chatbot that should be overcome were identified. Based on the results of the study, the implications of the study and suggestions for future research were discussed.

• Korean Journal of Biological Psychiatry
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• v.23 no.4
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• pp.173-178
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• 2016

Objectives The purpose of this study was to investigate the relationships among circadian types, depressive mood and internet addiction and to identify the mediating effect of depressive mood between circadian types and internet addiction in Korean College Students. Methods A total of 2632 participants completed questionnaires, which included the Korean translation of the Composite Scale of Morningness (CSM), the Patient Health Questionnaire (PHQ-9), and the Korean version of the Internet Addiction Test (KIAT). Statistical analyses were done using correlation analysis, analysis of covariance and multiple linear regression. Results The CSM score was negatively associated with the PHQ-9 score (r = -0.226, p < 0.001) and the KIAT score (r = -0.218, p < 0.001). The eveningness group showed higher scores in depressive mood and internet addiction than the morningness group (p < 0.001). Depressive mood showed a partial mediating effect between circadian types and internet addiction (${\beta}=0.255$, p < 0.001). Conclusions Internet addiction was associated with circadian types and depressive mood. These results suggest that depression and circadian rhythm management would contribute to the prevention of internet addiction.

• Korean Journal of Biological Psychiatry
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• v.18 no.1
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• pp.15-24
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• 2011

Mood disorder is unlikely to be a disease of a single brain region or a neurotransmitter system. Rather, it is now generally viewed as a multidimensional disorder that affects many neural pathways. Growing neuroimaging evidence suggests the anterior cingulate-pallidostriatal-thalamic-amygdala circuit as a putative cortico-limbic mood regulating circuit that may be dysfunctional in mood disorders. Brain-imaging techniques have shown increased activation of mood-generating limbic areas and decreased activation of cortical areas in major depressive disorder(MDD). Furthermore, the combination of functional abnormalities in limbic subcortical neural regions implicated in emotion processing together with functional abnormalities of prefrontal cortical neural regions probably result in the emotional lability and impaired ability to regulate emotion in bipolar disorder. Here we review the biological correlates of MDD and bipolar disorder as evidenced by neuroimaging paradigms, and interpret these data from the perspective of endophenotype. Despite possible limitations, we believe that the integration of neuroimaging research findings will significantly advance our understanding of affective neuroscience and provide novel insights into mood disorders.

• Bioinformatics and Biosystems
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• v.1 no.2
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• pp.134-138
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• 2006

Depression is the most common and widespread mood disorder. About 20% of the population might suffer a major, incapacitating episode of depression during their lifetime. This disorder can be classified into two types: major depressive disorders and bipolar disorder. Since pharmaceutical treatments are different according to types of depression disorders, correct and fast classification is quite critical for depression patients. Yet, classical statistical method, such as minnesota multiphasic personality inventory (MMPI), have some difficulties in applying to depression patients, because the patients suffer from concentration. We used electroencephalogram (EEG) analysis method fer classification of depression. We extracted nonlinearity of information flows between channels and estimated approximate entropy (ApEn) for the EEG at each channel. Using these attributes, we applied two types of data mining classification methods: decision tree and possibilistic support vector machines (PSVM). We found that decision tree showed 85.19% accuracy and PSVM exhibited 77.78% accuracy for classification of depression, 30 patients with major depressive disorder and 24 patients having bipolar disorder.

• Korean Journal of Psychosomatic Medicine
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• v.29 no.2
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• pp.121-127
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• 2021

Objectives : The characteristics of depressive symptoms in patients with cancer is different from those in control group. However, few research has focused on the association between depressive symptoms in cancer patients. The aim of this study was to compare the network structure of depressive symptoms between patients with cancer and normal control. Methods : This study was based on cohort data from Korea National Health and Nutrition Examination Survey in 2016-2018. The Patient health Quetionnaire-9 (PHQ-9) was used to assess depressive symptoms in 599 patients with cancer and 599 age-sex matched controls. We estimated network structure of depressive symptom using Isingfit model. Results : There was no significant difference of each PHQ-9 item score. There were strong associations between symptoms were concentration problem-psychomotor activity, anhedonia-depressed mood, and depressed mood-suicidal ideation in both groups. Strength centrality of worthlessness was significantly higher in patients with cancer. Conclusions : These results suggest that worthless is associated with other depressive symptoms more tightly in patients with cancer. Worthless can serve as important treatment targets for intervention of depression in patients with cancer.

• Journal of Korean Society of Forest Science
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• v.104 no.2
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• pp.294-299
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• 2015

This study was conducted to investigate the influence of a forest healing program on the level of job stress and the profile of mood states (POMS). 38 public servants who were in charge of social welfare in A city as well as 24 metal health care workers in C province participated in the forest healing programs. The data were collected by a pretest-posttest design. The data analysis showed that both job stress and POMS levels were significantly improved by the forest healing program. The therapeutic effects of forests are highly expected to be utilized for healing programs for job stress reduction and burnout prevention.

• Journal of Hospice and Palliative Care
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• v.4 no.1
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• pp.14-25
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• 2001

Purpose : To determine whether there exist gender differences in pain in Korean cancer patients and whether the depression and performance that are often expressed differently between men and women with cancer interact with pain. Method : The results of survey were collected from 140 in- and out-patients (78 male and 62 female) who had cancer treatment at one of the university hospital in Seoul for four months from February of 1999. The severity and interference of pain were examined with the self-reported survey based on Korean version of Brief Pain Inventory (BPI-K). Demographic and clinical information for all patient were compiled by reviewing their medical records, and the level of depression was examined with the Korean version of Beck Depression Inventory (BDI-K). Usual statistical methods, e.g., frequences, means and SDs were used to characterize the sample. The chi-square tests for categorical data and t-test for numerical data were used for group comparison. And the correlation between variables were performed using Pearson correlation coefficient. Resuts : 1) The mean scores of the worst pain for last 24-hours measured with the pain severity of BPI-K were 5.77 in male and 6.45 in female. The pain interference of BPI-K in men was in the order of mood (5.49), enjoy (5.36), and work (5.00), and in women were work (7.48), enjoy (7.16), and mood (6.53). 2) In pain severity, significant difference was found between men and women in the average pain for last 24-hours (t=-2.130, P=.035). In pain interference, significant difference was found between men and women in activity (t=-2.450, P=.015), mood (t=-2,321, P=.022), walk (t=-2.762, P=.007), work (t=-4.946, P=.000), relate (t=-2.595, P=.010), sleep (t=-2.071, P=.040), enjoy (t=-3.198, P=.001). 3) It was found that the items of pain and depression are significantly correlated in men but not in women. Men also exhibited higher correlation in the items of pain and performance status than women. Conclusions : Women report significantly greater average pain for last 24-hours and for all items of pain interference than men. Pain and depression are significantly correlated in men. The results of this study suggest that gender differences in pain should be considered for planning effective pain management program.

• Journal of Convergence for Information Technology
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• v.10 no.7
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• pp.185-193
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• 2020

This purpose of this study was to investigate the effects of 16-week long-term walking exercise on the feeling, mood state, and life stress of college students. Participations in this study were 50 college students, and 24 Walking Group and 26 Control Group were random sampled to experiment the psychological effect of exercise walking. The experimental design was designed by factorial design by 2×3 repeated measurements. Data collection was conducted for 0week, 8week, 16week of feeling, mood state and life stress of college students. As a result, WG showed a positive increase in feeling status compared to CG. Negative mood state such as tension, anger, depression, fatigue, and confusion have been greatly reduced, vigor has increased, and stress on college student life such as friends, study, economy, future, and values has decreased statistically. The results of this study can be used as a way of coping with the stress of college students to improve their study motivation and quality of life.

• Journal of Life Science
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• v.32 no.10
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• pp.812-820
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• 2022

Depression is a psychiatric disorder characterized by depressed mood, anhedonia, fatigue, and altered cognitive function, leading to a decline in daily functioning. In addition, depression is a serious and common mental illness not only in an individual's life but also in society, so it must be actively treated. Autophagy is involved in the pathophysiological mechanism of mental illness. According to a recent study, it is known that autophagy-induced apoptosis affects neuroplasticity and causes depression and that antidepressants regulate autophagy. Autophagy is a catabolic process that degradation and removes unnecessary organelles or proteins through a lysosome. And, it is essential for maintaining cellular homeostasis. Autophagy is activated in stress conditions, and depression is a stress-related disease. Stress causes damage to cellular homeostasis. Recently, although the role of autophagy mechanisms in neurons has been investigated, the autophagy of depression has not been fully studied. This review highlights the new evidence for the involvement of autophagy in the pathophysiological mechanisms and treatment of depression. To highlight the evidence, we present results from clinical and preclinical studies showing that autophagy is associated with depression. Understanding the relevance of autophagy to depression and the limitations of research suggest that autophagy regulation may provide a new direction for antidepressant development.

• Korean Journal of Psychosomatic Medicine
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• v.21 no.2
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• pp.114-121
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• 2013

Objectives: The aim of this study was to know differences of characteristics between presenile and senile patients who were consulted to the department of psychiatry during medical-surgical admission. Methods: The demographic and clinical data obtained from the medical records of psychiatric consultation in the presenile inpatients with age 50 to 64 years(N=162) and those of the senile inpatients with age over 65 years(N=171) were reviewed and compared. Results: 1) The most common chief complaints for psychiatric consultation in presenile patients were somatic symptoms, anxiety and sleep disturbance in order, while cognitive decline, clouded consciousness and depressed mood were most common in senile patients with statistical significance. 2) The most frequent psychiatric diagnoses after consultation in presenile patients were delirium, mood disorder and substance use disorder in order, while delirium, mood disorder and major neurocognitive disorder were most frequent in senile patients with statistical significance. 3) There were no significant difference in numbers of physical illnesses, while numbers of therapeutic drugs for them were more in senile patients. Conclusions : Our study found significant differences between presenile and senile patients on psychiatric symptoms and diagnoses in geropsychiatric consultation. Therefore, more subdivided age-specific approach seems to be needed for the geropsychiatric consultation activities.