• Journal of Family Resource Management and Policy Review
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• v.13 no.3
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• pp.59-84
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• 2009

The purpose of this study was to investigate the determinants of policy demand for elderly care in aged Korea. The data from the first wave of KLoSA (Korean Longitudinal Study of Ageing) aged over 45 were used (n=10,165). The major findings were as follows: First, human capital, social capital, and socioeconomic variables influenced on the expected demand for elderly care by government, controlling the expectations of future life and society. Second, the effects of determninants on the expected demand for elderly care by government varied by the level of human capital, social capital, and socioeconomic variables, including ADL and IADL, familial support by children, public transfers, and age. Based on the empirical results, the implications for welfare mix of elderly care were provided.

• Korea journal of population studies
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• v.12 no.1
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• pp.30-42
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• 1989

This study develops a model of migration decision-making process, with identifying macrolevel and microlevel factors affecting the process. The model includes some sequential stages : to be dissatisfied with current residential area, intend to move, collect information about alternative destinations, select destination, decide to move, and make actual migration. The macrolevel factors included in the model are environmental, socioeconomic, cultural, and demographic characteristics of the current residence and alternative destinations. The microlevel factors are psychological, socioeconomic, and demographic characteristics of the individual. The effects of the macrolevel and microlevel factors on each stage of migration decision-making process are identified from the previous studies on migration. This study has both theoretical and practical implications. The theoretical contribution will be in the area of integrating the ecological and the individual level perspectives of migration by identifying the macrolevel and microlevel effects on migration decision-making process. This study also has implications for theoretical frameworks guiding empirical analysis of migration behavior of the individuals, and for policies aimed at redistributing population.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.2
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• pp.780-785
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• 2010

This research have aimed for analyzing the effect of relative factors on healthy life styles by the income level in a medium-sized city. Especially, the research tried to figure out whether the public health center's health-promotion-activity had different effects on healthy life styles by the income level. The random sampled data of 809 citizens aged between 19 and 69 were analyzed through phone survey by the Korea Gallop inc(surveyed from 2006.10.11 to 10.13). In the low socioeconomic status, the relation between people's positive conception about public health center's health-promoting-program and healthy behavior tendency is low. But in the high socioeconomic status, the relation is high. This result suggest that the effect of public health center's health promotion programs on healthy life styles is different by income level.

• Korean Journal of Health Education and Promotion
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• v.26 no.1
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• pp.117-128
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• 2009

Objectives: The purpose of this study was to assess the effect of mothers education attainment on prevalence of dental caries among their preschool children. Methods: Data were obtained from the third 2006 Korea National Oral Health Survey. A total of 515 preschool children aged 2 to 7 years and their mothers were selected in this study. We used mother's education level as her socioeconomic position and controlled children's tooth brushing frequency, tooth brushing before bed, the frequency of eating snack, and the preventive dental visit. Whether children experienced dental caries or not and the number of decayed or filled or missing tooth surface they had were used as outcome variables. Results: The proportion of children affected with dental caries was 46.21%. The mother's education level affected children's caries significantly (p<0.05) and children whose mother attended less than high school had more possibility of having caries than children whose mother graduated from college or more (p<0.05). This effect was still significant and got larger(p<0.05), even after controlling children's dental health behavior. Conclusion: This study showed that mother's education level affected the prevalence of caries among their preschool children. In addition, this result indicated a need for more definite policy for children's dental health in lower socioeconomic class with general dental education.

• Journal of Preventive Medicine and Public Health
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• v.47 no.2
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• pp.104-112
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• 2014

Objectives: To date, studies have not comprehensively demonstrated the relationship between stroke incidence and socioeconomic status. This study investigated stroke incidence by household income level in conjunction with age, sex, and stroke subtype in Korea. Methods: Contributions by the head of household were used as the basis for income levels. Household income levels for 21 766 036 people were classified into 6 groups. The stroke incidences were calculated by household income level, both overall within income categories and further by age group, sex, and stroke subtype. To present the inequalities among the six ranked groups in a single value, the slope index of inequality and relative index of inequality were calculated. Results: In 2005, 57 690 people were first-time stroke patients. The incidences of total stroke for males and females increased as the income level decreased. The incidences of stroke increased as the income level decreased in those 74 years old and under, whereas there was no difference by income levels in those 75 and over. Intracerebral hemorrhage for the males represented the highest inequality among stroke subtypes. Incidences of subarachnoid hemorrhage did not differ by income levels. Conclusions: The incidence of stroke increases as the income level decreases, but it differs according to sex, age, and stroke subtype. The difference in the relative incidence is large for male intracerebral hemorrhage, whereas the difference in the absolute incidence is large for male ischemic stroke.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.14
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• pp.5845-5851
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• 2014

Reducing fear of cancer is significant in developing cancer screening interventions, but the levels of fear may vary depending on the degrees of media exposure as well as individuals' socioeconomic positions (SEP). However, few studies have examined how the SEP influences the fear of cancer under the moderating process of general and specific forms of media exposure. We investigated the moderating effect of media exposure on the relationship between SEP and the level of fear of cancer by assuming that cancer knowledge is a covariate between those two. In particular, this study examined how exposure to both general and specific media changes the series of processes from SEP to fear of cancer. We conducted path analyses with three types of media - television, radio and the Internet- using data from a health communication survey of 613 adults in Massachusetts in the United States. We found that SEP influences cancer knowledge directly and fear of cancer indirectly, as moderated by the level of media exposure. Health-specific exposure, however, had a more consistent effect than general media exposure in lowering the fear of cancer by increasing knowledge about cancer. A higher level of health-specific exposure and greater amount of cancer knowledge lessened the fear of cancer. In addition, the more people were exposed to health information on television and the Internet, the lower the level of fear of cancer as a result. These findings indicate a relationship between SEP and fear of cancer, as moderated by the level and type of media exposure. Furthermore, the findings suggest that for early detection or cancer prevention strategies, health communication approaches through mass media need to be considered.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.246-246
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• 2023

Multi-purpose dams are operated accounting for both physical and socioeconomic factors. This study aims to evaluate the utility of a deep learning algorithm-based model for three multi-purpose dam operation (Seomjin River dam, Juam dam, and Juam Control dam) in Seomjin River. In this study, the Gated Recurrent Unit (GRU) algorithm is applied to predict hourly water level of the dam reservoirs over 2002-2021. The hyper-parameters are optimized by the Bayesian optimization algorithm to enhance the prediction skill of the GRU model. The GRU models are set by the following cases: single dam input - single dam output (S-S), multi-dam input - single dam output (M-S), and multi-dam input - multi-dam output (M-M). Results show that the S-S cases with the local dam information have the highest accuracy above 0.8 of NSE. Results from the M-S and M-M model cases confirm that upstream dam information can bring important information for downstream dam operation prediction. The S-S models are simulated with altered outflows (-40% to +40%) to generate the simulated water level of the dam reservoir as alternative dam operational scenarios. The alternative S-S model simulations show physically inconsistent results, indicating that our deep learning algorithm-based model is not explainable for multi-purpose dam operation patterns. To better understand this limitation, we further analyze the relationship between observed water level and outflow of each dam. Results show that complexity in outflow-water level relationship causes the limited predictability of the GRU algorithm-based model. This study highlights the importance of socioeconomic factors from hidden multi-purpose dam operation processes on not only physical processes-based modeling but also aritificial intelligence modeling.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.443-452
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• 2018

The purpose of this study was to investigate the utilization behavior of medical services according to the characteristics of socioeconomic status (SES) and prevalence by using the 6th National Health and Nutrition Survey data for adults over 25 years old. Frequency and technical statistical analysis, ANOVA, ${\chi}^2$-test, and regression analysis were performed using SPSS 23.0. The results were as follows: more female than male, 65 years old and over, high school graduate, and unemployed and income quintiles were similar. The SES score considering education level, function, and income quintiles was the highest at 7-8, and most of the respondents felt moderate about their subjective health condition. The mean number of prevalence was $1.07{\pm}1.497$, the mean utilization of outpatient services was $0.50{\pm}0.045$, and the mean number of inpatient services use was $0.12{\pm}0.454$. Depending on general characteristics, there was a significant difference between subjects with prevalence and subjective health conditions. Higher age was associated with lower education, skill level, income, and SES score, and average prevalence was associated with poor subjective health conditions. More serious prevalence was associated with greater utilization of inpatient services. More chronic prevalence was associated with utilization of outpatient services. In other words, higher SES score was associated with lower overall use of medical services. Lower SES score was associated with higher use of medical services. In conclusion, we must develop appropriate health education programs that can prevent diseases in groups with low socioeconomic characteristics. There is the need to construct and implement a community-based appropriate health service system so that proper medical services can be used.

• Korea journal of population studies
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• v.26 no.2
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• pp.33-62
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• 2003

The purpose of this study is to analyze the relative importance of three factor -socioeconomic development, public health development, egalitarian nature of socioeconomic development- affecting mortality declines. Infant mortality rate and life expectancy at birth are used as the mortality index, that is the dependent variables, while GNP is used as the indicator of socioeconomic development, primary school enrollment ratio of female as the indicator of egalitarian nature of socioeconomic development, population per hospital bed as the indicator of public health. The data of these variables are collected two time-periods -before 1970 and during 1970-1980- over 50 countries. The explanatory data analysis is used as the statistical technique. We can find whether the relationship between dependent variable and independent variables are linear or nonlinear, and which case is the influential case in our model. The main results of this study are followings. First, the association between infant mortality rates and four indices are not linear. The most important factor explaining the variation of infant mortality is GNP, while primary enrollment of female is the second and GINI is the third important factor. However, population per hospital bed does not have a significant effect on the infant mortality rates in this study. Second, life expectancy at birth is log-linearly related to GNP. Unlike infant mortality rates, the most important factor explaining the variation of life expectance at birth is women's education and the next important factor GNP, and then the third one GINI. But, still population per hospital bed is not significantly related to the variation of life expectance in this study.

• Journal of Environmental Health Sciences
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• v.47 no.5
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• pp.486-495
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• 2021

Background: Particulate matter (PM) is one of the leading causes of premature death worldwide. Previous studies in South Korea have applied a relative risk calculated from Western populations when estimating the disease burden attributable to PM. However, the relative risk of PM on health outcomes may not be the same across different countries or regions. Objectives: This study aimed to estimate the premature deaths and socioeconomic costs attributable to long-term exposure to PM in South Korea. We considered not only the difference in PM concentration between regions, but also the difference in relative risk. Methods: National monitoring data of PM concentrations was obtained, and missing values were imputed using the AERMOD model and linear regression model. As a surrogate for relative risk, hazard ratios (HRs) of PM for cardiovascular and respiratory mortality were estimated using the National Health Insurance Service-National Sample Cohort. The nation was divided into five areas (metropolitan, central, southern, south-eastern, and Gangwon-do Province regions). The number of PM attributable deaths in 2018 was calculated at the district level. The socioeconomic cost was derived by multiplying the number of deaths and the statistical value of life. Results: The average PM₁₀ concentration for 2014~2018 was 45.2 ㎍/m³. The association between long-term exposure to PM₁₀ and mortality was heterogeneous between areas. When applying area-specific HRs, 23,811 premature deaths from cardiovascular and respiratory disease in 2018 were attributable to PM₁₀ (reference level 20 ㎍/m³). The corresponding socioeconomic cost was about 31 trillion won. These estimated values were higher than that when applying nationwide HRs. Conclusions: This study is the first research to estimate the premature mortality caused by long-term exposure to PM using relative risks derived from the national population. This study will help precisely identify the national and regional health burden attributed to PM and establish the priorities of air quality policy.