• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.639-650
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• 2020

The purpose of this study was to investigate perceptions of mental health literacy, mental health status, mental health welfare center and mental health business of local public officials. The participants were 762 public officials working in G city. Data were collected from October 1, to October 26, 2019 using structured questionnaires, and IBM SPSS 24.0 statistics program was used for the analysis. As a result, the mental health status of the subjects was the most severe stress 28.1%. The mental health literacy score of the subjects was 40.99 points and mental health status was 1.66 points. And 46.6% of the respondents had never heard of mental health welfare center. As for mental health business, 57.0% had never heard of mental health counseling, and the most common route for gaining information on mental health or mental illness was TV at 65.2%. In addition, 85.0% answered that an increase in the government budget for the management of mental health and illness was necessary. Therefore, it is necessary to strengthen the continuous education and promotion for mental health improvement and the development of customized mental health promotion programs suitable for the public officials level through of the community mental health welfare center.

• Korean Journal of Health Education and Promotion
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• v.32 no.3
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• pp.121-133
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• 2015

Objectives: This study aimed to examine factors that affect chronic illness anticipated stigma among patient living with Parkinson's disease. The attributes of stigma measured in this study were labeling, expectation of prejudice, negative stereotyping, and discrimination. Chronic illness anticipated stigma was correlated with measures of mental and physical health as well as certain health behaviors. Methods: The sample included 250 adults with idiopathic Parkinson's disease that attended D university hospital in B metropolitan city from June to August 2014. Results: The chronic illness anticipated stigma were significantly correlated to depression, anxiety, Schwab & England ADL, Hoehn & Yahr stage, and age. The significant predictors of chronic illness anticipated stigma were anxiety, depression, and age. These factors accounted for 47% of variance in chronic illness anticipated stigma. Conclusions: In order to reduce the chronic illness anticipated stigma, nurse involved in the treatment and care of patients with Parkinson's disease should encourage patients to attend programs of depression and anxiety management in Parkinson's disease and systemic education programs on stigma.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.549-555
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• 2021

This study reviewed the important preceding studies of prevention and treatment of the crimes and therapies on the characteristics of mental illness, trying to investigate and identify more effective ways to prevent, decrease the crimes of the mentally ill and treat them. The main results were as follows. First, relationships between mental illness and crimes have been inconsistently reported, to investigate environmental stresses and triggers of the mentally ill additionally. Second, the term 'mentally illness' was to be defined more specifically, such as severe psychiatric disabled, antisocial personality disorder, intellectual disability, anger·impulse control disorder, and drug abuse. If medication and psychosocial treatments were properly treated to the severe psychiatric disabled, their crime incidence and recidivism will be decrease enough to live with their neighbors in community. But the ways and processes of treating antisocial personality disorder, intellectual disability, anger·impulse control disorder, and drug abuse were very different from it, requiring more intense psychological, medical and biological interventions and social seclusion. The national campaigns and projects for their human rights and community care will be needed to promote the therapeutic effects for them. The limitation and future tasks were discussed.

• Journal of Korean Critical Care Nursing
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• v.9 no.1
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• pp.1-14
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• 2016

Purpose: To investigate the post-intensive care syndrome (PICS) and to analyze the factors affecting the quality of life (QoL) of survivors of critical illness. Methods: Subjects were 114 outpatients who had been discharged from intensive care units of a university hospital in B city, Korea. From July 30 through September 30, 2015, PICS was assessed using the Korean Montreal Cognitive Assessment, Hospital Anxiety-Depression Scale, Korean Instrumental/Activities of Daily Living (K-I/ADL) index, and handwriting transformation, while physical and mental health-related QoL was measured using the SF-12. Results: Of the subjects, 39.5% were screened for mild cognitive disorder and 23.7% experienced handwriting transformation after discharge. Multiple regression analysis revealed that restraint application, current job, time of ${\geq}36$ months after discharge, depression, anxiety, and handwriting transformation accounted for 40.9% of the physical health-related QoL, and depression, anxiety and experience of delirium accounted for 62.4% of the mental health-related QoL. Conclusions: It is necessary to make efforts to reduce restraint application in intensive care units and prevent the occurrence of delirium, with the objective of reducing PICS and improving the QoL of critical illness survivors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.211-220
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• 2018

This study was conducted to identify the mediating effects of the therapeutic relationship with mental health professionals between empowerment and recovery in mental illness. The participants were 168 adults in two community mental health centers and three rehabilitation centers in Jeonbuk. The data were collected by structured questionnaires from April 15 to April 30, 2015 and analyzed using descriptive statistics, Pearson's correlation coefficient, and multiple regression analysis with the SPSS 19.0 statistical program. The mean score of empowerment for mental illness, recovery and therapeutic relationship were $60.4{\pm}10.85$, $101.8{\pm}20.70$ and $74.5{\pm}14.30$, respectively. There were significantly positive correlations between recovery in empowerment and therapeutic relationship (r=0.33, p<0.001), as well as empowerment and recovery (r=0.51, p<0.001), while there were significantly positive correlations between therapeutic relationship and recovery (r=0.55, p<0.001). Therapeutic relationship had a partial mediated effect between empowerment and recovery, which was found to be significant by the Sobel test (z=3.706, p<0.001). The results of this study can be used as basic data for development of a practical recovery-enhancing program to promote therapeutic relationships and improve empowerment in relation to therapist of the mentally disabled.

• Korean Journal of Biological Psychiatry
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• v.22 no.2
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• pp.29-33
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• 2015

The brain maintains homeostasis and normal microenvironment through dynamic interactions of neurons and neuroglial cells to perform the proper information processing and normal cognitive functions. Recent post-mortem investigations and animal model studies demonstrated that the various brain areas such as cerebral cortex, hippocampus and amygdala have abnormalities in neuroglial numbers and functions in subjects with mental illnesses including schizophrenia, dementia and mood disorders like major depression and bipolar disorder. These findings highlight the putative role and involvement of neuroglial cells in mental disorders. Herein I discuss the physiological roles of neuroglial cells such as astrocytes, oligodendrocytes, and microglia in maintaining normal brain functions and their abnormalities in relation to mental disorders. Finally, all these findings could serve as a useful starting point for potential therapeutic concept and drug development to cure unnatural behaviors and abnormal cognitive functions observed in mental disorders.

• The Korean Nurse
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• v.17 no.4 s.96
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• pp.87-97
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• 1978

• 한국사회복지학회:학술대회논문집
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• 2006.04a
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• pp.113-115
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• 2006

• Therapeutic Science for Rehabilitation
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• v.12 no.4
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• pp.53-65
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• 2023

Objective : This study aimed to identify the experiences and practices of occupational therapists in mental health and provide interventions for improving body function in individuals with mental illness. Methods : Data were collected from mental health therapists between November 7 and November 14, 2022. A survey was distributed via email and 46 responses were analyzed using descriptive statistics and correlations. Results : The majority were female (58.7%), aged 20-30 years (84.8%), working in mental health centers (41.3%), and undergoing mental health occupational therapy training (91.3%). They had 1-3 years of mental health experience (65.2%) and were commonly involved in programs (71.1%), case management (62.2%), and administration (57.8%). Interventions for physical functioning were common (73.9%), including group interventions (41.2%), such as stretching, aerobic exercise, and walk training, and individual interventions (38.1%), such as walking, stretching, and aerobic exercise. Conclusion : Occupational therapists play a crucial role in enabling individuals with mental illness to engage in daily life activities. However, relevant studies in this field are lacking. This study emphasizes the importance of mental health occupational therapy and the need for evidence-based services for physical function improvement interventions to provide more effective treatments for mental illnesses.

• Journal of the Korean Data and Information Science Society
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• v.22 no.5
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• pp.911-919
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• 2011

In recent medical analysis, it becomes more important to looking for risk factors related to mental illness. If we find and identify their relevant characteristics of the risk factors, the disease can be prevented in advance. Moreover, the study can be helpful to medical development. These kinds of studies of risk factors for mental illness have mainly been discussed by using the logistic regression model. However in this paper, data mining techniques such as CART, C5.0, logistic, neural networks and Bayesian network were used to search for the risk factors. The Bayesian network of the above data mining methods was selected as most optimal model by applying delirium data. Then, Bayesian network analysis was used to find risk factors and the relationship between the risk factors are identified through a radial graph.