• Journal of dental hygiene science
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• v.15 no.6
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• pp.736-745
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• 2015

The purpose of this study is to find out factors that affect subjective well-being among dental hygienists. The questionnaires were consisted of 7 categories: general characteristics, job characteristic, job satisfaction, job identity, job commitment, Leisure satisfaction and subjective well-being. T-test, ANOVA, multiple linear regression were applied in this analysis. The results are as follows: Job satisfaction, job identity, job commitment and leisure satisfaction had significant influence on positive experience index (p<0.05). Leisure satisfaction was the most significant factor and it positively influences the positive experience index. In order to increase the subjective well-being among dental hygienists, plans that can increase the job satisfaction, job identity, job commitment and leisure satisfaction should be implemented by improving job-related factors.

• Korea journal of population studies
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• v.35 no.2
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• pp.133-157
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• 2012

This study analyzed plans for retirement by focusing on preferred retirement timing(PRT) measure. Current pension program show rather strong guideline about the timing of full-retirement. This study asked whether the middle age group are willing to retire correspond to the policy guidelines or not. Research sample came from 2008 KLOSA data, recruiting 1,367 workers who are residing in cities or in metropolitan area (women: 34.8%). I have analyzed one item question asking "In what age do you want to fully retire?", The results showed that, about two third of respondents declared they do not want to retire unless they have health problems, or would expect to retire no earlier than age 70. However, a third of respondents expected normal retirement coming between 60~64. Second, the determinants of timing for retirement were differ by PRT. Social determinants, such as gender, short work hours, being employed, and higher status in family income were associated with early PRT. While, good health status, positive view on the future economics were highly associated with late PRT. The results reveal that the timing of retirement is getting more diverse and obscure in the individual level.

• Korean Journal of Psychosomatic Medicine
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• v.23 no.1
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• pp.20-25
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• 2015

Objective:To review the patterns of the dermatologic consultations of psychiatric adolescent inpatient and to explore the relationship between the dermatologic disorders and psychiatric disorders. Methods:We retrospectively studied the data from 22 cases referred by psychiatric adolescent for a dermatologic consultation over 10 years in Daegu Catholic University Medical Center and compared with the data from 108 cases referred by the other department adolescent patients. Results:The mean age of patients was 15.9. The male to female ratio was 1:1.44. The most common psychiatric and dermatologic disorder was major depressive disorder and acne, respectively. The most frequent reason for consultation was to ask for dermatologic disease or condition(54.5%) followed by to perform cosmetic procedure of patients need(40.9%) and to perform dermatologic test(4.6%). Conclusions:More than just a cosmetic disfigurement, dermatologic disorders are associated with a variety of psychopathologic problems that can affect the patient. Increased understanding of biopsychosocial approaches and liaison among psychiatrists and dermatologists could be beneficial.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.351-359
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• 2021

This study was conducted to analyze the relationship between the practice of aerobic exercise and the prevalence and risk of arthritis with comorbid chronic diseases. For this study, the National Health and Nutrition Examination Survey 2017-2019 data were used and 17,356 people were selected as subjects. The relationship between the practice of aerobic exercise and the prevalence and risk of arthritis according to demographic characteristics and chronic diseases was analyzed by the chi-square independence test and Breslow-Day test. While the rate of aerobic exercise was low among women, the elderly, the low-income group, the low-education group, and people living in rural areas, the prevalence and risk of arthritis were relatively high. And in the chronic disease-positive group, those who practiced aerobic exercise had a relatively lower prevalence and risk of arthritis than those who did not. In particular, the practice of aerobic exercise was an effective complement in reducing the prevalence and risk of arthritis in people with high blood pressure, diabetes, and dyslipidemia. Therefore, the practice of aerobic exercise such as walking, slow running, and aerobic dance should be recommended in terms of the preventive medicine and health care to people who are in the group with a high prevalence of arthritis in demographic characteristics and people who have comorbid chronic diseases.

• Korean Journal of Psychosomatic Medicine
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• v.29 no.2
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• pp.77-85
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• 2021

Breast cancer is the most prevalent oncological disease among women. Various psychosocial distress is common at the diagnosis, treatment, and posttreatment phase of breast cancer. For the treatment of breast cancer, not only medical treatment but also psychosomatic integrative care will be needed. Patients with breast cancer may lead to increased vulnerability to stress, adjustment disorder, anxiety disorder, and depressive disorder, and these psychiatric diseases and conditions are associated with recurrence or exacerbation of breast cancer. Psychosocial treatment of anxiety and depression could increase the quality of life of patients and decrease the recurrence and progression of breast cancer. In this article, we reviewed 5 clinical breast cancer survivorship guidelines focused on psychosomatic integrative care including psychosocial treatment and alternative treatment for psychosocial distress. Because 5 treatment guidelines were using various definitions of evidence, we confirmed evidence of various psychosocial treatments for patients with breast cancer based on the definition of evidence by the US Preventive Service Task Force (USPSTF) guideline. We also reviewed the effect size of psychosocial treatment for anxiety, depression, mood, and quality of life in patients with breast cancer. This article discusses the barrier to the delivery of psychosomatic integrative care and suggests integrative care planning for breast cancer. Multi-disciplinary teams, patient's needs assessment, information technology support, patient and caregiver engagement, planned periodic monitoring of psychosocial distress by a psychosomatic specialist or consultation-liaison psychiatrist are recommended as key features of a psychosomatic integrated care plan.

• Korean Journal of Psychosomatic Medicine
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• v.27 no.1
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• pp.13-24
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• 2019

Objectives : The goals of the study are how to establish the cohort systems for the children and adolescents victims with sexual abuse in Korea and to identify the risk and protective factors that influence mental health in child sexual abuse (CSA). This is initial assessment data based on the analysis of cohort variables for baseline evaluation of subjects. Methods : We constructed the cohort systems for CSA victims recruited by Seoul Sunflower Children Center, CSA victims protection center. The initial assessment data which consisted of demographic and psychological inventories of CSA victims and their parents/families, psychiatric diagnoses were the results of statistical analysis of 65 subjects under 19 years old for 3 years 7 months. Results : The initial data were followings : female participants, N=56; mean age, 11.6 (SD=4.5); the most sexual assault, molestation 71.8%; victims, family and acquaintance 87.1%; 61.5% of the subjects diagnosed with psychiatric disorder; 29.2% diagnosed with PTSD and 23.1% diagnosed with depression. Mean duration for abuse to report is 1.5 years. Mean score of IES-R-K, TSCYC-avoidant and CBCL-problematic behavior were increased above clinical cut-off. Conclusions : CSA victims tend to have high risks in mental health problem. The cohort study could provide the risk and protective factors of CSA in mental health, and construct the predictive model for mental illness in Korea.

• 재활복지
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• v.21 no.3
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• pp.65-84
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• 2017

This study identified predictors of intention to work among people with disabilities who maintain economic inactivity for two successive years by analyzing a total of 2,255 Participants in the 2014 data of the Panel Survey of Employment for the Disabled (PSED) with through $X^2$, t test, logistic regression. To explore factors affecting intention to work among people with disabilities who maintain economic inactivity, this study hypothesized the effectiveness of variables of demographic, disability, human resources, psycho-social factors based on previous studies. The analysis showed that male, spouse-being, low income status out of demographic variables were related to high probability of having intention to work among people with disabilities who maintain economic inactivity. In case of disability variables, experiencing disability-related discrimination significantly predicted the probability of having intention to work. However, the relationship between disability-related discrimination experiences and high intention to work needs to be viewed as correlated rather than cause-and-effect.In addition, literacy related to computer use/English proficiency/interpersonal and adaptation skills(human resources), experiences of vocational rehabilitation services (human resources), self-esteem (psycho-social) significantly predicted the probability of having intention to work among people with disabilities who maintained economic inactivity. Based on these results, support services for females with disabilities, effective rehabilitation programs of improving literacy related to computer use/English proficiency/interpersonal and adaptation skills and self-esteem, general expansion of vocational rehabilitation services for people with disabilities are suggested.

• Journal of Cadastre & Land InformatiX
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• v.49 no.1
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• pp.181-195
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• 2019

This study aims to analyze the spatial context by analyzing the flow characteristics of the walking tour course and visualizing effectively using the floating population data constructed through the communication data. The floating population data refinement algorithm was developed for estimation flow population along the road and the floating population data for each walking tour courses was constructed. In order to adopt the algorithm for forming suitable for the analysis of the walking tour courses, the estimation of floating population considering the area of the road and the estimation of floating population considering the value of floating population around the road were compared. As a result, the estimation of floating population considering ambient the values of flow population was adopted, which is more appropriate to apply analysis method due to the relatively consistent data. Then, a datamining algorithm for walking tour course was constructed according to the characteristics of the floating population data, the absence of missing values. Finally, this study analyzed the flow characteristics and spatial patterns of 18 walking trails in Seoul through the floating population data according to walking tour course. To do this, the kernel density analysis and the Getis-Ord $G^*_i$ statistical hotspot analysis were applied to visualize the main characteristics of each walking tour course.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.155-161
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• 2021

We surveyed 27 workplaces and 1897 workers and analyzed the correlation between Personal characteristics of workers and Musculoskeletal Symptoms. The presence or absence of Symptoms of Musculoskeletal Disease in workers was based on The Management Target or higher in accordance with the guidelines for The Investigation of Harmful Factors in Musculoskeletal Burdened Work of the Korea Occupational Safety and Health Agency. Personal characteristics were divided into age, work load, housework burden, work experience, leisure type, gender, and marital status. In the survey, correlations were investigated through binominal logistic regression analysis for rank variables of work load, household burden, and work experience, and the significance of the results was confirmed by crosstabulation and chi-square analysis for other nominal variables. And in the case of other variables, there was a slight trend, but it was confirmed that it was not statistically significant. As a result, We confirmed that the incidence rate of Musculoskeletal Disease Symptoms increased as the age of the workers was lower, the higher the workload and housework, if they were women, if they did not engage in leisure activities. However, considering that the results of this study are slightly different as a result of comparing the results of other studies, the data of this study can be used as rough indicators for the prevention of musculoskeletal disorders, but additional research is needed before using it as quantitative indicators.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.7
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• pp.233-240
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• 2022

Most of the recent AI researches has focused on developing AI models. However, recently, artificial intelligence research has gradually changed from model-centric to data-centric, and the importance of learning data is getting a lot of attention based on this trend. However, it takes a lot of time and effort because the preparation of learning data takes up a significant part of the entire process, and the generation of labeling data also differs depending on the purpose of development. Therefore, it is need to develop a tool with various labeling functions to solve the existing unmetneeds. In this paper, we describe a labeling system for creating precise and fast labeling data of medical images. To implement this, a semi-automatic method using Back Projection, Grabcut techniques and an automatic method predicted through a machine learning model were implemented. We not only showed the advantage of running time for the generation of labeling data of the proposed system, but also showed superiority through comparative evaluation of accuracy. In addition, by analyzing the image data set of about 1,000 patients, meaningful diagnostic indexes were presented for men and women in the diagnosis of sarcopenia.