• Korean Journal of Biological Psychiatry
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• v.20 no.2
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• pp.31-39
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• 2013

The geriatric patients with chronic physical diseases are frequently associated with the continuous clusters of depression including nonpathological sadness, subsyndromal depression, minor depressive disorder, and major depressive disorder. Because of the complex and reciprocal relationships among depression, elderly, and chronic physical diseases, screening approaches with specific nosological methods should be needed in the realm of early detection of depression. Cognitive decline is frequently manifested in geriatric depression with medical or neurological diseases. Also, somatic symptoms of depression or emotional symptoms of physical diseases can play a role as a hampering factor in the early detection of depression. Furthermore, after-care has been regarded as an essential factor of depression screening in the geriatric patients with chronic physical diseases. We reviewed the most popular examples of integrated medicine for depression in primary care. Thus, we propose a general hospital-based model for early detection of depression which includes favorable response loop between screening and therapeutic intervention. Our model can be a basis for evidence-based detection and after-care for depression in the geriatric patients with chronic medical diseases.

• Smart Media Journal
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• v.12 no.3
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• pp.9-18
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• 2023

Due to the deepening of COVID-19, high-intensity social distancing has been prolonged and many social problems have been cured. In particular, physical and psychological isolation occurred due to the non-face-to-face system and a lot of damage occurred. The various social problems caused by Corona acted as severe stress for all those affected by Corona 19, and eventually acted as a factor threatening mental health such as depression. While the number of people suffering from mental illness is increasing, the actual use of mental health services is low. Therefore, it is necessary to establish a system for people suffering from mental health problems. Therefore, in this study, depression detection and emergency detection models were constructed based on sensor information using smartphones from depressed subjects and general subjects. For the detection of depression and emergencies, VAE, DAGMM, ECOD, COPOD, and LGBM algorithms were used. As a result of the study, the depression detection model had an F1 score of 0.93 and the emergency situation detection model had an F1 score of 0.99. direction.

• Korean Journal of Biological Psychiatry
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• v.12 no.2
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• pp.89-97
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• 2005

Depression is a frequently developed psychiatric symptom after stroke. Poststroke depression(PSD) causes not only psychological distress related to depression but also other disturbances in many areas such as cognitive function, activities of daily living and quality of life. Therefore, a comprehensive understanding of accurate detection and appropriate treatment of depression is mandatory in patients with stroke. This review focused on the current knowledge of PSD.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.67-80
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• 2023

Rice is an important food crop for most of the population in Nowadays, psychologists consider social media an important tool to examine mental disorders. Among these disorders, depression is one of the most common yet least cured disease Since abundant of writers having extensive followers express their feelings on social media and depression is significantly increasing, thus, exploring the literary text shared on social media may provide multidimensional features of depressive behaviors: (1) Background: Several studies observed that depressive data contains certain language styles and self-expressing pronouns, but current study provides the evidence that posts appearing with self-expressing pronouns and depressive language styles contain high emotional temperatures. Therefore, the main objective of this study is to examine the literary cyber writers' posts for discovering the symptomatic signs of depression. For this purpose, our research emphases on extracting the data from writers' public social media pages, blogs, and communities; (3) Results: To examine the emotional temperatures and sentences usage between depressive and not depressive groups, we employed the SentiStrength algorithm as a psycholinguistic method, TF-IDF and N-Gram for ranked phrases extraction, and Latent Dirichlet Allocation for topic modelling of the extracted phrases. The results unearth the strong connection between depression and negative emotional temperatures in writer's posts. Moreover, we used Naïve Bayes, Support Vector Machines, Random Forest, and Decision Tree algorithms to validate the classification of depressive and not depressive in terms of sentences, phrases and topics. The results reveal that comparing with others, Support Vectors Machines algorithm validates the classification while attaining highest 79% f-score; (4) Conclusions: Experimental results show that the proposed system outperformed for detection of depression trends in literary cyber writers using sentiment analysis.

• Korean Journal of Biological Psychiatry
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• v.19 no.4
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• pp.179-186
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• 2012

Depression and executive dysfunction are common neuropsychiatric sequelae of stroke. Patients with stroke are more predisposed to depression and executive dysfunction compared to patients with similar degree of physical disability. Both depression and executive dysfunction are also associated with poor prognosis such as high mortality and delayed recovery after stroke. Complex neurobiological and anatomical mechanisms are associated with the development of depression and executive dysfunction after stroke. Activation of pro-inflammatory cytokines is thought to be associated with onset of depression, whereas injuries in frontal-subcortical circuit are thought to be a link between depression and executive dysfunction. Early detection of depressive symptoms and both pharmacological and non-pharmacological treatment would be helpful. In this review paper, the authors investigated 1) biological and neuroanatomical substrate for poststroke depression and executive dysfunction, 2) the relationship and common etiopathology for poststroke depression and executive dysfunction, and 3) pharmacological and non-pharmacological treatment for poststroke depression. The contents of the paper are as follows : the prevalence, clinical manifestation, and biological etiology for poststroke depression, neuroanatomical abnormalities as a common etiological factor for depression and executive dysfunction, pharmacotherapy and non-pharmacological approach.

• Korean Journal of Biological Psychiatry
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• v.13 no.1
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• pp.3-10
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• 2006

Depression is the leading cause of disease-related disability among women. Postpartal depression (PPD) can produce substantial clinical, economic, and psychosocial impairment, not only for the women experiencing it but also for the women's children and family. Therefore, a comprehensive understanding the accurate detection and appropriate treatment of depression is mandatory in women of childbearing age. This review focused on the current knowledge of PPD.

• Korean Journal of Adult Nursing
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• v.22 no.6
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• pp.676-686
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• 2010

Purpose: This study has aimed to examine the relationship among self-esteem, Activities of Daily Living (ADL) and depression reported by hospitalized elderly patients with chronic diseases. Methods: A descriptive correlation study by means of a self-report questionnaire or face-to-face interview was used to collect data from 119 elderly patients who were hospitalized in a General Hospital from January 5 to February 25, 2010. Their levels of depression was measured using Short-Form Geriatric Depression Scale, self esteem using Jeon's, and activities of daily living using K-ADL. Results: 80.7% of the subjects experienced depression. Depression correlates with self-esteem (r=-.67) and ADL (r=.45). The influencing factors on depression were self-esteem, ADL, subjective health status, and family support satisfaction ($R^2=.57$), while self esteem in itself explained 45% of variance in depression. Conclusion: These findings indicate the importance of early detection of depression, which starts from the admission of patients and the continuing evaluation/management in daily life after discharge to ensure their well-being and quality of life. The development of program empowering self esteem, ADL and subjective health status with adequate family support during hospitalization and in daily life is indispensible.

• Korean Journal of Biological Psychiatry
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• v.15 no.4
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• pp.265-274
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• 2008

Depression is common in patients with end-stage renal disease(ESRD) and has a negative effect on the quality of life, functional ability, and mortality of the patients, with a prevalence rate as high as 20-25%. Especially, the increasing tendency of mortality in ESRD patients is associated with recent or current depression, and the suicide rate is also increased by depression in patients with ESRD. Therefore, accurate detection and appropriate treatment of depression is very important in ESRD patients. Also, a deferential diagnosis is needed concerning uremic symptoms and depression in ESRD patients. However, there has been little data so far particularly in terms of randomized clinical trials. This review focused on the recent knowledge of depression in ESRD, and could encourage clinical study and trials in this field.

• The Journal of Korean Physical Therapy
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• v.22 no.2
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• pp.31-38
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• 2010

Purpose: We investigated the relationship of depression and the ability to engage in activities of daily living in the elderly. Methods: Subjects (n = 182) were 60 years or older and who attended the Senior College of Gimhae Senior Welfare Center. We collected data via a questionnaire, through a Self- recording method and through individual interviews. We collected data on personal and general characteristics, level of depression, and activities of daily living. Results: Among all subjects, 51.1% reported having depressionMild depression was reported by 29.7% (54 subjects), moderate depression by 13.2% (24 subjects), and severe depression by 8.2% (15 subjects). Activities of daily living, including walking, climbing stairs, standing from a chair and sitting on and using toilets, using a telephone, bathing, shopping, cleaning house, and managing money were significantly lower in elderly subjects who were depressed (p<0.05). The greater the level of depression, the less able they were to engage in activities of daily living. Conclusion: These findings may help us achieve early detection of depression in the elderly and provide mediated arbitration so that they can have better health condition and greater ability to engage in activities of daily living.

• Anxiety and mood
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• v.6 no.1
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• pp.55-64
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• 2010

Objective : Depression is a significant and growing problem among college students. Depression contributes to numerous academic, social, and health problems, including suicide. This study surveyed depression awareness and the need for establishing a depression support program through Kyunghee University. Methods : We used the Kyunghee University Mail delivery system for college students to conduct this survey on depression and depression. Results : All of the students who responded to the survey, 41.86% reported that they had experienced depression. Among students experiencing depression, 27.27% experienced suicidal ideation, and 56.56% said they wanted to receive mental health counseling or treatment. All the respondents, 47.04% of respondents said they would to go to the external medical center, not school's internal counseling center of school, for such treatment. All the respondents, 73.75% said the student depression/suicide problem was serious. In addition, 71.34% of respondents required a depression support program. Conclusion : The university's depression support program needs to improve its accessibility by developing content focused on the early detection of, and improved awareness of, depression.