• 한국노년학
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• v.29 no.3
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• pp.805-822
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• 2009

This study aims to investigate the mental health level of the elderly people living alone and examine the difference in mental health level by socio-demographic factors and analyze the factors impacting on mental health level. The study subjects were 131 elderly people living alone who lived in "G" city. Symptom Check List-90-Revision(SCL-90-R) was used to measure mental health level. The results of this study were as follows. First, the study subjects' mental health level(3.53, 5 rating scale) was very severe and this means the mental health level of elderly people living alone is more severe than the mental health level of general elderly people. The study subjects showed depression symptom most seriously and also had severe somatization symptom. Second, there was significant difference in mental health level by gender and education level among socio-demographic factors. Third, in the final regression model, statistically significant factors impacting on the mental health level of the elderly people living alone were life satisfaction, ADL, IADL, welfare service support, informal support, contact frequency with children, duration of living alone, subjective state of economy. And comprehensive(macro and micro) implications were recommended.

• Korean Journal of Biological Psychiatry
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• v.26 no.2
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• pp.33-38
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• 2019

Psychiatric disorder as dysfunctional behavioural syndrome is a paradoxical phenomenon that is difficult to explain evolutionarily because moderate prevalence rate, high heritability and relatively low fitness are shown. Several evolutionary genetic models have been proposed to address this paradox. In this paper, I explain each model by dividing it into selective neutrality, mutation-selection balance, and balancing selection hypothesis, and discuss the advantages and disadvantages of them. In addition, the feasibility of niche specialization and frequency dependent selection as the plausible explanation about the central paradox is briefly discussed.

• Korean Journal of Occupational Health Nursing
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• v.29 no.3
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• pp.173-183
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• 2020

Purpose: The purpose of this study was to identify factors associated with the mental health-related quality of life (MHQoL) of Korean workers. Methods: This was a cross-sectional study of 192 Korean pay workers who worked in the Daegu and Gyeongbuk Province, Korea. Data were collected from May 15 to July 2, 2019, through selfreported questionnaires. The survey had a total of 87 questions including individual, organizational, and psychosocial factors. MHQoL was measured using short form-36 version 1. Data were divided into four domains of MHQoL and analyzed using a hierarchical linear regression model. Results: From the hierarchical linear regression analysis, when the psychosocial factors were included in the regression model, the R² change in the four domains of MHQoL increased significantly by 19~47%. A common predicting factor associated with the four domains of MHQoL was identified as perceived stress symptoms. Other factors affecting MHQoL showed slight differences in each domain. Conclusion: Based on the study results, it is necessary to monitor the psychosocial symptoms to improve MHQoL of Korean workers. Considering each factor affecting the four areas of MHQoL, workplace-based interventions to improve MHQoL should be provided to workers.

• 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.

• Journal of Educational Research in Mathematics
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• v.23 no.1
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• pp.53-74
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• 2013

The purpose of this paper is to analyze how mathematically gifted middle school students find out the necessary and sufficient condition for a certain hyperbolic line to be parallel to a given hyperbolic line in Non-Euclidean disc model (Poincar$\acute{e}$ disc model) using the Geometer's Sketchpad. We also investigated their characteristic of mathematical thinking and analyze how they express what they had observed while they did mental experiments in the Poincar$\acute{e}$ disc using computer-aided construction tools, measurement tools and inductive reasoning.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.25 no.1
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• pp.11-22
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• 2017

Aviation/tourism industry has a unique characteristic of high inter-dependance between customer and service-provider. It is the mental condition of service-provider that could influence on the attitude of the service-provider. Thus, it is important to manage the mental condition of the service employees to enhance a company's financial performance. This paper tries to analyze the combined model of both policy acceptance and service profit chain(SPC) models. First, service policy acceptance model tells how the service policy acceptance, which consists of policy compliance, trust, participation and policy failure, would influence on SPC model. According to empirical research, it was found that both the employees' policy compliance and the policy trust have a positive significant impact on their participation on service policy. In the policy acceptance model, the employee's voluntary participation based on their trust and compliance of the policy was proven to have a positive effect on increasing job satisfaction and customer orientation. Regarding SPC model, their participation in the policy had the strongest impact among variables on customer orientation. Such results implies the employees' participation on the policy could become the starting point to enhance the customer value.

• IE interfaces
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• v.18 no.2
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• pp.158-166
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• 2005

Human-error and mental stress caused by psychophysiological dissonance between people and artificial environments have become a social problem. And it is a common knowledge that comfort environment reduces human-error and mental stress. Comfort sensibility is related to complex interactions between fabric, climatic, physiological and psychological variables. Currently, comfort sensibility has been evaluated by many sensory tests. However, it is difficult to evaluate comfort sensibility because a concrete concept of comfort sensibility is hard to define. In this paper, we propose a model to evaluate the comfort sensibility using Fuzzy-weighted score on an individual's subjective state for the stimulus. To represent the degree of comfort sensibility level for the stimulus, we represent comfort sensibility using 2 dimensional sensibility vector model. And we use the fuzzy-weighted score that is a fuzzy version of the weighted checklist technique computerized for evaluating the subjects. As an example, this model is applied to 1/f fluctuation sound evaluation. The results show that this model can be effectively used to the quantitative evaluation of comfort sensibility for the stimulus.

• Asia Marketing Journal
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• v.18 no.4
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• pp.125-138
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• 2017

The goal of the study is to understand how consumers' constraint as opposed to utility structure gives rise to final decision when consumers purchase more than one variant of product at a time, i.e., horizontal variety seeking or multiple-discreteness. Purchase and consumption decision not only produces utility but also involves some sort of cognitive pressure. Past consumption or last purchase is likely to be linked to this burden we face such as concern for obesity, risk of harm, and guilt for mischief. In this research, the existence and the role of dynamic constraint are investigated through a microeconomic utility model with multiple dynamic constraint. The model is applied to the salty snacks data collected from field study where burden for spiciness serves as a constraint. The results are compared to the conventional multiple discreteness choice models of static constraints, and policy implications on price discounts is explored. The major findings are that first, one would underestimate the level of consumer preference for product offerings when ignoring the carry-over of the concern from the past consumption, and second, the impact of price promotion on demand would be properly evaluated when the model allows for the role of constraint as both multiple and dynamic. The current study is different from the existing studies in two ways. First, it captures the effect of 'mental constraint' on demand in formal economic model. Second, unlike the state dependence well documented in the literature, the study proposes the notion of state dependence in different way, via constraint rather than utility.

• Health Policy and Management
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• v.11 no.2
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• pp.58-84
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• 2001

This study was conducted to explore the relationship between the efficiency and its organizational determinants of tile Community Mental Health Centers(CMHCs). Data are obtained from 81 personnel of 27 CMHCs from Sept. to Oct. in 1999(19 in Kyunggi province, 7 in Seoul City and 1 in Chunchon, Kangwon province). Major findings of this study are as follows. 1. DEA is a mathematical programming technique that optimizes the relative efficiency ratio of inputs over outputs for each decision-making unit(DMU). It produces a summary scalar efficiency ratio for each DMU of CMHCs. It assessed multiple inputs and multiple outputs simultaneously, and compared to specific peer group of CMHCs. 2. Organizational determinants of DEA efficiency of CMHCs we proved as advertisement(＋), location of CMHCs(in public facility)(＋), area of facility(＋), period of operation(＋), job satisfaction(＋), clarity of work-role(vague), cohesion(－), rate of certified personnel(＋), number of referral(＋), and voluntary service time(－).

• Journal of radiological science and technology
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• v.39 no.4
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• pp.669-681
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• 2016

This study collected data from 467 nursery teachers and it aimed to investigate the association between mental health and emotional dissonance and job burnout of the day care nursery teachers. Measurement tool was developed, most of the questions having 5-point scale. The data were analyzed structural equation model with the statistical package IBM SPSS 23 and AMOS 21 with 5% percent of significance level. Main results are as follows. First, it was found that emotional dissonance of nursery teachers working in day care centers showed significant effect on the mental health such factors as job-stress (relationships with children and parents and work overload). Second, emotional dissonance were found to have a significant effect on job burnout, too. Third, job burnout had a significant effect on the mental health, job stress and psychological wellbeing. Fourth, job burnout was found to mediate partially on mental health and emotional dissonance. These findings suggest the importance of mental health promotion programs for child care teachers working in the day care centers.