• Health Policy and Management
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• v.15 no.2
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• pp.70-83
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• 2005

The purpose of this paper is to examine the relationship between socio-economic factors and self-rated health among older people living in the community. In addition, the study tries to determine whether risk differentials by these socio-economic factors can be explained by other demographic factors, chronic diseases, and functional status. We surveyed to investigate the self-rated health of 397 study samples which had been selected by stratified randomized sampling, $2.7\%$ by each Dong (district) of S-city in Gyeonggi-do. Our study found that the socioeconomic factors such as income, occupation, and insurance were significantly associated with self-rated health. The level of social economic status was positively associated with the level of self-rated health. Two-staged multivariate analysis demonstrated that this relationship was still significant even after adjustment for demographic factors, chronic diseases, and functional status. In conclusion, there are wide socio-economic disparities in self-rated health of older people in this community. It is important that government should know not only health status but also the health-associated factors in order to prepare for the aged society and improve the health status of the elderly. Further researches should uncover causality and mechanism by which SES affects changes in functional health among the elderly.

• Korean Journal of Community Nutrition
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• v.6 no.4
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• pp.645-656
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• 2001

The relationship between socio-economic status and food and nutrient consumption patterns was studied in 7,370 Koreans aged 20 years and older in the 1995 Korean Health and Nutrition Survey. The aim of this study was to investigate the effect of rapid economic growth on food and nutrient consumption for Korean adults in the last 30 years. Monthly household income, and individual's educational level and occupation were chosen as variables of socio-economic status for individuals. A one day 24 hour recall method was used for the dietary survey. One way analysis of varience was adopted to test tole association between socio-economic variables and food and nutrient consumption patterns. Individuals who had a high socio-economic status had significantly higher daily intake of most of the nutrients including calcium, vitamin A, vitamin B$_2$which reached above the recommended dietary allowances(RDA) and a higher percentage energy consumption from fat. In addition, individual who belonged to a low socio-economic status consumed less animal foods, including meat, egg, milk and consumed low proportion of energy from fat. The results suggest that in spite of rapid economic growth during the last 30 years in Korea, individuals who belonged to low sorio-economic status categories are still nutritionally vulnerable. Among the sorio-economic variables, income and education except occupation were the influential factors on the food and nutrient consumption of Koreans. Therefore, nutrition policy should focus on influencing the dietary patterns of lower social class individuals to improve the health status of the population as a whole.

• Journal of the Korea Safety Management & Science
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• v.24 no.3
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• pp.39-46
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• 2022

This study has found the socio-economic factors that affect occupational accidents and measured the influence quantitatively. We built the panel data of 4 countries (Japan, Germany, the U.S., and the U.K.) and the analysis model counted on the fixed effect model to reflect the countries' differences. The fatal occupational injury rates in the analyzed countries had a statistically significant relationship with the level of per capita GDP, the proportion of the construction industry, the rate of male workers, annual average working hours, the rate of workers in manufacturing and construction industries, etc. The annual average working hours have a positive correlation with the fatal occupational injury rate. To reduce occupational accidents effectively, we should be monitoring and researching various factors that can affect the occurrence of occupational accidents such as worker characteristics, changing industrial structure, and changes in working hours.

• The Korean Journal of Community Living Science
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• v.28 no.4
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• pp.653-667
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• 2017

The purpose of this study were to investigate the socio-economic impacts of urban-to-rural migration on the rural community and to identify the factors influencing rural residents' recognition of the socio-economic impacts of urban-to-rural migration on the rural community. For the purpose, this study analyzed Korea Rural Economic Institute's rural residents survey(2016), using multiple regression model. The main finding of this study were as follows: Positive social impacts of urban-to-rural migration on rural community were (1) contributing to community sustainability through population growth, (2) contributing to securing agricultural human resources, and others. Negative social impacts of urban-to-rural migration on rural community were (1) increasing unnecessary complaints and deepening distrust, (2) weakening of community consciousness, and others. Positive economic impacts of urban-to-rural migration on rural community were (1) increasing the value of residents' property, (2) contributing to local finance through increased local tax revenue, and others. Negative economic impacts of urban-to-rural migration on rural community were (1) difficulty of scaling farmland due to small-scale farming, (2) land shortage caused by rising land prices, and (3) fierce competition to secure labor force. According to the multiple regression analysis, the major factors influencing rural residents' recognition of the socio-economic impacts of urban-to-rural migration were (1) villagers' general attitude toward urban-to-rural migrants, (2) urban-to-rural migrants' community participation, (3) age, and (4) fitness of village in urban-to-rural migration.

• Journal of the Korea Convergence Society
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• v.8 no.8
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• pp.291-298
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• 2017

This study is to examine the status and trends of regional elderly group(pre-elderly and elderly segment)'s suicide rates and socio-economic factors, to analyze the relevance of suicide rates and socio-economic factors, and to understand differential factors of elderly group's suicide rates between metropolitan areas and small-medium sized areas. For this, analysis on relevance between socio-economic factors and elderly group's suicide rates has been done using regional statistical data for the past ten years(2006~2015) by National Statistical office. According to research findings, Socio-economic factors such as welfare budget ratio, divorce rates, economic activity rates, and financial independent rates have shown different effects on elderly group's suicide rates by age range and regional characteristics. Based on these analyses, this study suggested policy tasks for alleviating suicide rates of elderly group.

• Korean Journal of Human Ecology
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• v.8 no.1
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• pp.81-93
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• 1999

Now in Korea, many households are facing with economic crisis. The study based on the premise that household economic status could keep as stable as before economic crisis depending on the coping behavior of housewives as a manager of household. The purpose of this study was to find the coping behavior patterns with economic crisis of housewives, and to examine the socio-demo-economic factors which influence the coping behavior with economic crisis of housewives. Major findings were as follows; (1) The principal two patterns of coping with economic crisis were active coping behavior and passive coping behavior. (2) The most frequently used coping behavior pattern was passive coping behavior. (3) The patterns of coping with economic crisis were influenced by the socio-demo-economic factors.

• Korean Journal of Health Education and Promotion
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• v.30 no.5
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• pp.125-138
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• 2013

Objectives: The purpose of this study is to analyze factors associated with depression among workers in South Korea by socio-economic factors, health behaviors, and working conditions. Methods: Study subjects include 4,251 adults (19 and older) who are currently working using the data from 2009 National Health and Nutrition Survey. Data were analyzed using frequency test, $X^2$ test, and multiple logistic regression. Results: Multiple logistic regression analysis showed that gender (OR=1.91, p<.001), age (OR=1.53, p=.030), marital status (31-39: OR=1.88, p=.029) were significantly related to depressing among socio-economic factors. Next, among health behaviors factors, perceived health status (Poor: OR=1.76, p=.049; Very poor: OR=3.46, p=.002) was statistically significant. Among characteristics of work environment, trust and respect (OR=1.34, p=.049) and working with hidden emotion (OR=1.88, p<.001) were significantly related to depression. Conclusions: In order to manage and reduce depression among workers, it is important to develop appropriate mental health promotion programs both in work places and in regulations.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.4
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• pp.2567-2570
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• 2013

Background: This study analyzed Surveillance, Epidemiology and End Results (SEER) data to assess if socio-economic factors (SEFs) impact on endometrial cancer survival. Materials and Methods: Endometrial cancer patients treated from 2004-2007 were included in this study. SEER cause specific survival (CSS) data were used as end points. The areas under the receiver operating characteristic (ROC) curve were computed for predictors. Time to event data were analyzed with Kaplan-Meier method. Univariate and multivariate analyses were used to identify independent risk factors. Results: This study included 64,710 patients. The mean follow up time (S.D.) was 28.2 (20.8) months. SEER staging (ROC area of 0.81) was the best pretreatment predictor of CSS. Histology, grade, race/ethnicity and county level family income were also significant pretreatment predictors. African American race and low income neighborhoods decreased the CSS by 20% and 3% respectively at 5 years. Conclusions: This study has found significant endometrial survival disparities due to SEFs. Future studies should focus on eliminating socio-economic barriers to good outcomes.

• Journal of Agricultural Extension & Community Development
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• v.27 no.4
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• pp.211-225
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• 2020

It is important to understand what affects community satisfaction. Because community impacts and participation is a central aspect of fostering local community development, it is important to understand how these processes occur. The study aims to identify the factors influencing community satisfaction and to examine the moderating effects of community participation between community perceived impacts and community satisfaction. Data were collected from 328 usable questionnaires among community residents participating rural development projects in Buyeo and Chungyang county, Chungnam province. Results of a factor analysis yielded four dimensions of community perceived impacts which were negative socio-economic impacts, positive economic impacts, positive environmental impacts, and positive social impacts. Hierarchical regression analysis revealed that negative socio-economic impacts, positive economic impacts, and positive environmental impacts affected significantly for community satisfaction. it reveals that there are moderating effects on community participation of negative socio-economic impacts and positive economic impacts. It was suggested that negative socio-economic impacts, positive economic impacts, and community participation should be considered to implement rural development projects and its policy decision making.

• The Korean Journal of Community Living Science
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• v.24 no.1
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• pp.37-49
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• 2013

The purpose of this study is to explore how health and health behavior factors moderate the relation between socio-economic position(SEP) and Korean elderly people's self-rated health status. The data sources are from the Korean Longitudinal Study of Aging(2008). The analysis sample consists of 4,040 cases. Analysis of the results shows that health characteristics such as ADL, MMSE, geriatric depression, and pain are significant predictors of self-rated health status. In addition, exercise and drinking alcohol also prove to be factors influencing self-rated health status. Health factor such as MMSE and health behavior factors such as drinking alcohol served as moderators of the influences of SEP on one's self-rated health status. For example, higher MMSE provides a slight increase to the positive relationship between SEP and self-rated health status. In addition, those who responded yes to drinking alcohol, compared to those who responded no, provides an increase to the positive relationship between SEP and one's self-rated health status.