• Korean Journal of Social Welfare
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• v.58 no.4
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• pp.313-339
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• 2006

The purpose of this study is to analysis empirically the socio-structural causes of working poor. This study used raw data of of Korea National Statistical Office from 1982 to 2004, and put in operation time series multiple regression analysis to use socio-economic factors of macro-economy environment, labor market, distribution system. Contrary to assertion of growth-concentrated people, economic growth rate has had significantly positive effect on the change of working poor size. In the growth period there has been trickle down effect of economic growth, but in the post-Fordism period there has not been valid circular relation. Recent introduction of the U. S. type capitalism resulted in negative phenomenon like aggravation of income distribution, deterioration of employment quality, enlargement of working poor. And there rise a question on socio-economic durability due to de-compensation on intra-institution. It is necessary to grope transition to the high road social market model - that is stable and sustainable - correspond to Korea that is stable and sustainable.

• Fashion & Textile Research Journal
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• v.8 no.6
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• pp.672-678
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• 2006

This study examines the implications of fashion in self-expression or image management among college students in Korea. Socio-demographic factors are considered in addressing following research questions: why Korean college students seek luxury goods; how they recognize the effects of using luxury goods on their image management; whether or not they have purchased counterfeit luxury goods; and why they buy counterfeit goods. In order to explain the relationship between fashion and social class, the study examines various sociological theories including Erving Goffman's dramaturgical approach. The data were drawn from 1419 students from 10 universities nationwide in 2005. Chi-square analyses yields outcomes as follows: Using luxury goods works as a class symbol that gives the users the image of higher socio-economic background; use of counterfeit luxury goods and its symbolic effects in image management do not have significant relationship with socio-economic background.

• Korean Journal of Child Studies
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• v.15 no.1
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• pp.71-90
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• 1994

This study investigated sex differences in children's self-efficacy and causal relationships between children's self-efficacy and home environment. The home environment factors included mother's efficacy, marital satisfaction, child rearing attitudes, and socio-economic status. The subjects were 491 fifth and sixth grade children and their mothers. The data were analyzed by t-test using the SAS $PC^+$ program and covariance structural analysis using the PC-LISREL VI. The results showed that there were no sex differences in children's global self-efficacy level, but there were sex differences in some subfactors. Furthermore, we found that the same causal model appears for both sexs in the relationship between home environment and children's self-efficacy. That is, socio-economic status of the home and mother's psychological factors influenced mother's attitudes for child rearing which had a direct impact on children's self-efficacy.

• Journal of Korea Water Resources Association
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• v.55 no.8
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• pp.589-601
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• 2022

Although drought is a natural phenomenon, its damage occurs in combination with regional physical and social factors. Especially, related to the supply and demand of various waters, drought causes great socio-economic damage. Even meteorological droughts occur with similar severity, its impact varies depending on the regional characteristics and water supply system. Therefore, this study assessed regional drought risk considering regional socio-economic factors and water supply system. Drought hazard was assessed by grading the joint drought management index (JDMI) which represents water shortage. Drought vulnerability was assessed by weighted averaging 10 socio-economic factors using Entropy, Principal Component Analysis (PCA), and Gaussian Mixture Model (GMM). Drought response capacity that represents regional water supply factors was assessed by employing Bayesian networks. Drought risk was determined by multiplying a cubic root of the hazard, vulnerability, and response capacity. For the drought hazard meaning the possibility of failure to supply water, Goesan-gun was the highest at 0.81. For the drought vulnerability, Daejeon was most vulnerable at 0.61. Considering the regional water supply system, Sejong had the lowest drought response capacity. Finally, the drought risk was the highest in Cheongju-si. This study identified the regional drought risk and vulnerable causes of drought, which is useful in preparing drought mitigation policy considering the regional characteristics in the future.

• The Korean Journal of Health Service Management
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• v.8 no.3
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• pp.13-25
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• 2014

This research was performed to investigate the characteristics and determination factors on tertiary hospital inpatients. The used data was the four waves of Korea Health Panel(2008, 2009, 2010, 2011), and the number of subjects was 4,430 cases of tertiary and general hospital admission. The statistical methodology used in the study is the logistic regression model. The significant affecting factors in utilizing tertiary hospital admission were gender, marital status, education, household income, residence region and ICD-10 classification. Man, graduating college/university, married, high-income were socio-economic affecting factors in tertiary hospital admission. Medical need factor of ICD-10 classification and residence region of inpatients was also significant affecting factors in tertiary hospital admission. The 81.4% of inpatients at tertiary hospital had chronic disease and the 12.9% of inpatients readmitted, the 68.2% had a selecting doctor and the only 26.7% of inpatients reinforced by private medical insurance. This study recommended the Korean government to provide proper rule for tertiary hospital admission in order to improve the equity and efficiency of health care system.

• Journal of Family Relations
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• v.20 no.4
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• pp.25-45
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• 2016

Objectives: The purpose of this study was to explore socio-demographic factors, personality factors, socio-psychological factors, and relationship factors related to happiness of young children's fathers. Method: Subjects of this study were fathers who had 3, 4 and 5 years old children attending childcare centers. Data were analyzed by SPSS 18.0 program. Results: First, father's subjective well-being was predicted by father's extraversion of personality, job satisfaction, satisfaction of economic status, marital intimacy, and relationship with child. Marital intimacy was the strongest predictor of father's subjective well-being. Second, father's global life satisfaction was associated with occupational status, family monthly income, father's extraversion of personality, satisfaction of economic status, marital intimacy, and relationship with child. Father's global life satisfaction was explained by satisfaction of economic status the most. Third, father's meaning of life was related to father's educational level, father's extraversion of personality, job satisfaction, satisfaction of economic status, marital intimacy, and relationship with child. Father's meaning of life was explained by relationship with child the most. Fourth, father's positive emotion was predicted by father's extraversion of personality, job satisfaction, satisfaction of economic status, marital intimacy, and relationship with child. Extraversion of personality was the strongest predictor for father's positive emotion. Fifth, neuroticism of personality and marital intimacy were related to father's negative emotion, and neuroticism of personality was the strongest predictor for father's negative emotion. Conclusions: The findings of this research provide the fundamental source for increasing father's happiness which can be used to establish the educational programs, counseling, and policy on general public's happiness.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.13
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• pp.5237-5242
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• 2015

Background: Socioeconomic factors are associated with screening in terms of reducing the risk of cervical cancer. This study aimed to clearly establish the effect of screening on variation in socio-economic factor-specific survival estimates. Materials and Methods: Survival estimates were calculated using the life table method for 165 women from the routine care control arm and 67 from the visual inspection with acetic acid screening arm diagnosed with cervical cancer during 2000-2006 in rural south India. Kaplan-Meier survival curves were plotted to compare the variation in survival by socioeconomic factors. Results: Whereas there was a significant variation in survival estimates of the different categories of age at diagnosis among the screen-detected cancers with women aged<50 years having an improved survival, no significant variation was noted among women diagnosed with cervical cancer from the control arm. Compared to the variation among the cancer cases detected in the unscreened control group, screening widened the variation in survival estimates by age and type of house, and reduced the variation by education. The direction of the magnitude of the survival estimates was reversed within the different categories of occupation, marital status and household income in the screen-detected cancer cases compared to control group cancer cases. Also, women diagnosed with stage 1 disease had a very good survival. Conclusions: Screening changed the pattern of survival by socio-economic factors. We found improved survival rates in screened women aged <50 years, with no formal education, manual workers and married women.

• The Journal of the Korea Contents Association
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• v.12 no.7
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• pp.437-444
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• 2012

This study features an analysis of the socio-economic factors of ten cities on the Honam-line that affect the number of train passengers. The 3 main factors based on the principal component analysis were the population, the distance between two regions, and the area size of each region while the number of automobiles has been conventionally used instead of the area size of each region. A formula to predict the train passengers by the regression analysis was developed and showed a good agreement to the number of real passengers. When Honam highspeed railway is opened, the traveling time between two regions as well as the area size of each regions should be more precisely considered.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.10
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• pp.4143-4145
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• 2014

Background: This study used receiver operating characteristic curve to analyze Surveillance, Epidemiology and End Results (SEER) Ewing sarcoma (ES) outcome data. The aim of this study was to identify and optimize ES-specific survival prediction models and sources of survival disparities. Materials and Methods: This study analyzed socio-economic, staging and treatment factors available in the SEER database for ES. 1844 patients diagnosed between 1973-2009 were used for this study. For the risk modeling, each factor was fitted by a Generalized Linear Model to predict the outcome (bone and joint specific death, yes/no). The area under the receiver operating characteristic curve (ROC) was computed. Similar strata were combined to construct the most parsimonious models. Results: The mean follow up time (S.D.) was 74.48 (89.66) months. 36% of the patients were female. The mean (S.D.) age was 18.7 (12) years. The SEER staging has the highest ROC (S.D.) area of 0.616 (0.032) among the factors tested. We simplified the 4-layered risk levels (local, regional, distant, un-staged) to a simpler non-metastatic (I and II) versus metastatic (III) versus un-staged model. The ROC area (S.D.) of the 3-tiered model was 0.612 (0.008). Several other biologic factors were also predictive of ES-specific survival, but not the socio-economic factors tested here. Conclusions: ROC analysis measured and optimized the performance of ES survival prediction models. Optimized models will provide a more efficient way to stratify patients for clinical trials.

• Journal of Korean Academy of Nursing
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• v.31 no.5
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• pp.749-758
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• 2001

The purpose of the study was to analyze the functional status of low income elderly living at home according to their socio-economic factors, sensory function, health status, medical service utilization, commodity and types of chronic disease. Method: Functional status was defined by the level of mobility, ADL and IADL categorized as independently functional, mildly impaired, moderately disabled, and severely disabled. The data was collected by home-visit interviews with 567 community dwelling adults who were 65 years of age or more with low a income status subsidized by government in ChonAn. Results: 9.9% of community dwelling older adults were severely disabled, and 44.4% were moderately disabled in their functional status. There were significant differences in the functional status by age, education, religion, and types of family structure. The older adults with hearing impairment or dental problems had a significantly higher rate of severe disability. Self-rated health status and medical service utilization were also significant factors to the differences in functional status. The functional status of older adults was also significantly related to the presence of chronic health problems such as chronic back pain, stroke, and Alzheimer-dementia. Conclusion: The results confirmed that community dwelling older adults with low income status were more functionally disabled in comparison to general older adults at national level, while the relating factors to their functional status seemed similar to other studies on older adults. Further studies were suggested to look into functional status longitudinally and focus on the changes of functional status by managing modifiable influencing factors.