• Journal of muscle and joint health
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• v.28 no.2
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• pp.91-101
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• 2021

Purpose: This study was conducted to identify factors related to osteoporosis prevalence in postmenopausal women. Methods: This study was a secondary analysis research using data from the Eighth Korea National Health and Nutrition Examination Survey (KNHANES VIII-1), 2019, which were downloaded from the KNHANES website. The subjects of this study were 1,791 postmenopausal women who participated in the KNHANES VIII-1, 2019. Data analysis was performed using the IBM SPSS 21.0 program and complex sample design analysis was performed considering factors such as weight, cluster, and strata. Results: Osteoporosis prevalence of in postmenopausal women was 17.5%. Factors related to osteoporosis prevalence were age (65~74 years old, ≥75 years old), house income (low), household type (one-person household), postmenopausal period (10~19 years), drinking (non-drinking). Conclusion: Interventions for osteoporosis prevention and management in postmenopausal women need to focus on women less than 10 years after menopause and one-person household women. Furthermore, it is necessary to expand bone density testing for the early detection of osteoporosis in postmenopausal women.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.31-39
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• 2015

This paper examines trends of the income inequality index and the income quintile share ratios, using the Household Survey released by Statistics Korea. We discuss their respective effects on total income inequality and the income disparity, as a contribution concept defined in this paper for 1990-2014 periods. Main findings are as follows. First, the contribution of 2-person families to total inequality with the current income or the disposable income becomes bigger, and growth rates have been above 10% since 2003. Second, the contribution of 1-person families to income inequality is greater than that of 2-person families. Policy implication is such that the government had better investigate the 1 or 2 person families in-depth to set up the policy measures for weakening the income inequality.

• Korea journal of population studies
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• v.16 no.2
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• pp.125-139
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• 1993

Korea has successfully achieved a lowered fertility level owing to the strong population control policy and effective family planning program. Along with fertility decline and decreased number of children in family, average number of household members has decreased and nontraditional households such as one person household and households composed of unrelated individuals have prolifirated, even though the absolute number of them are found minimal in Korea. However in recent years several data and survey results suggest that one person households are gradually in the increasing trend. The study aimed at investigating the real state of one person households in Korea and next analyzing the proportional distribution of one person households by a few socioeconomic characteristics, thus providing basic for eatablishing far-singhted population and social welfare policy in the future. Korea has experienced high growth rate of economy through government-led development plans starting from the 1960s. During the past three decades, Korea has shifted from the agricultural state to the industrialized one. In compliance with the economic growth, urbanization and industrialization have brought about rural-to-urban migration and a great bulk of young population migrated to urban areas, who are seeking for educational and job opportunities. Korean society has also been under drastic change in every aspect of life involving norms, tradition, and attitude, etc. Therefore, in spite of the prejudice on 'living alone' still remaining, young people gradually leave parents and home, and further form nontraditional households in urban areas. Current increase in the number of one person households is partly attributable to the increase in high female educational attainment and female participation in economic activities. As the industrial structure in Korea changes from primary into secondary and tertiary industries, job opportunities for service/sales and manufacturing are opened to young female labor force in the process of industrialization. Contrary to the formation of one person households by young people, the aged single households are composed when children in family leave one by one because of marriage, education, employment. In particular, a higher proportion of aged female single households occur in rural areas due to the mortality difference by sex. Based on the data released form the 1990 Population and Housing Census and National Fertility and Family Health Survey in 1985 and 1991, the study tried to examine the state of one person households in Korea. According to Census data, the number of one person households increased to 1, 021, 000 in 1990, comprising 9.0 percent of total households. And the survey reveal that among total 11, 540 households, 8.0 percent, 923 households, are composed of one person households. Generally, the proportion of female single households is greater than that of male ones, and a big proportion of one person households is concentrated in the 25-34 age bracket in urban areas and 65 years and more in rural areas. It is shown than one person householders in urban areas have higher educational attainment with 59.2 percent high schooling and over in 1991, Job seeking proved to be the main reason for leaving home and forming one person households. The number of young female single households with higher education and economic self-reliance are found nil and the study did not allow to analyze the causal realtionship between female education and employment and one person household formation. However more research and deep analysis on the causal facors on one person household formation using statistical method are believed to be necessary.

• Journal of Advanced Technology Convergence
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• v.3 no.2
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• pp.1-7
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• 2024

This study was conducted on 2,380 people aged 40-64 years old among the subjects of the National Health and Nutrition Examination Survey in 2021, the 3rd year of the 8th period. In order to identify factors influencing disease morbidity and health-related quality of life according to household type, general characteristics, diseases, etc. Morbidity and physical factors were compared and analyzed. The data were analyzed after creating a weighted complex sample plan file using the spss 25.0 program, and the significance level was set at .05. As a result of the analysis, factors affecting single-person households were education level, restrictions of activity, and depression, and factors affecting multi-person households were gender, smoking, restrictions of activity, dyslipidemia, and depression. Subjective health status showed a positive correlation with health-related quality of life, and anxiety and stress showed a negative correlation. Based on the results of this study, It is that propose individual quality-of-life improvement interventions that take into account each influencing factor for each household type.

• The Journal of Industrial Distribution & Business
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• v.12 no.2
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• pp.41-52
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• 2021

Purpose: This study aims to provide implications for the government's housing supply policy by analyzing the factors that determine the type of real estate holding and household debt. This study started from the awareness that the determinants of household debt differ depending on the type of real estate holding. Research design, data and methodology: Real estate ownership type was classified and analyzed into 4 models: model 1 (1 household 1 house and self-resident), model 2 (1 household multiple real estate ownership and self-resident), model 3 (1 household 1 house and rent residence), model 4 (1 household holds a large number of real estate and rent residence). The analysis method used multiple regression analysis. The dependent variable was household total debt. As independent variables, household debt, annual gross household income, financial assets, real estate net assets, annual repayment, demographic & residential characteristics were used. Results: 1) Model 4 has the highest household debt and the highest gross income, Model 2 has the most real estate mortgage loans and real estate net asset, and Model 1 has the highest real estate mortgage payments. 2) The positive factor of common household debt determinants is real estate net assets, and the negative factor is financial assets. 3) It was the net assets of real estate that acted as a positive factor in common for the four models. In other words, the more financial assets, the less household debt. It was analyzed that the more net assets of real estate, the more household debt. The annual repayment of financial liabilities had no influence on household debt, while the annual repayment of loan liabilities and household debt had a positive relationship. Conclusions: 1) It is necessary to introduce benefits and systems that can increase the proportion of household financial asset. Specific alternatives include tax benefits and reduced fees for financial asset investment. 2) In the case where a homeless person prepares one house for one household, it is necessary to prepare various support measures according to the income level. The specific alternative is to give additional points for pre-sale or apply an interest rate cut incentive for mortgage loans.

• Spatial Information Research
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• v.23 no.3
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• pp.11-21
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• 2015

While the number of total population in Seoul has been on the constant decline for the last few years, the number of household has increased due to the rising tendency of the smaller households. In 2010, the small households in the metropolitan areas accounted for 44% of the entire households, and Statistics Korea has reported that one person household, which will take up more than 30% of the whole household, will have been the most common type of household by 2020. This reason of rise will be differently shown according to age like the preferred housing type or surrounding environments, this research is suggest to research hypothesis that distinction of age leads to the spatial distribution of one person household. Therefore, this research is to exercise a multiple regression analysis targeting on the facilities, which become the spatial distribution factor of one person household, with the independent variable gained from the concluded area calculated with the area ratio of the spatial unit followed by the service area analysis based on network. The spatial unit is the census output of Seoul, and based on this the interaction between the number of one person household according to age and the factors of its distribution. Also, the spatial regions - downtown, northeast, southeast, northwest, southwest - are designed as dummy variables and the results of each region are found out. As a result, the spatial regions occupied according to age are found to be varied - people in their 20s prefer housings near the college, 30s lease or the monthly rental housings, 40s the monthly rental housings, and over 60s the housing with the floor area of less than $40m^2$. Likewise, one person household has different types of housing environments preferred according to age, and thus a housing policy concerning this will have to be suggested.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.987-994
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• 2015

This study examines how single-person household expenditure patterns are different with respect to age and income groups using Tobit model. The expenditure data of the national household survey from 2006 to 2012 were used. The results show that income elasticities of all items are greater than 1 except for food & beverage, housing, water, electricity & gas, and Communication. Income elasticities are significantly different among consuming items. Additionally the income elasticities are also different between various age and income groups of single-person households. Therefore governments and businesses have to take this into account when devising their policies or strategies regarding single-person households. Especially, businesses need to adopt a strategy targeted at single-person households with high income and buying power such as unmarried professional people. As the number of single-person household increases the proportion of expenditures on necessities such as beverage, food, and energy is expected to decrease while that on services increases. Consequently policy responses are required to prepare for the expansion of service industries such as health, hospital, and housekeeping services.

• Journal of Preventive Medicine and Public Health
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• v.48 no.2
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• pp.84-93
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• 2015

Objectives: The present study was conducted in order to examine the association between socioeconomic status (SES) and osteoporosis prevalence in Korea and to assess whether different associations are found in single-person households. Methods: A cross-sectional population-based study was conducted using the Korea National Health and Nutrition Examination Survey, from 2008 to 2011. The study subjects were people aged ${\geq}50$ years with osteoporosis as defined by bone mineral density. Multivariate logistic models were used to estimate prevalence odds ratios (pORs) and 95% confidence intervals (CIs). Gender differences in the likelihood of osteoporosis were analyzed based on household income, education level, and residential area. Results: There were 8221 osteoporosis patients aged ${\geq}50$ years, of whom 927 lived in single-person households. There was a gender-specific association between osteoporosis prevalence and all three SES factors that we analyzed: income, education, and residential area. After adjusting for age, SES, and health behaviors, including body mass index (BMI), low household income was only significantly associated with osteoporosis in men, whereas education level had an inverse relationship with osteoporosis only in women (p=0.01, p<0.001, respectively). However, after controlling for age and BMI, rural residency was only associated with osteoporosis in women living in single-person households (pOR, 1.59; 95% CI, 1.05 to 2.43). Conclusions: The Korean adult population showed a gender-specific relationship between SES and osteoporosis prevalence, with a different pattern found in single-person households.

• Journal of Family Resource Management and Policy Review
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• v.1 no.2
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• pp.149-158
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• 1997

This study identifies characteristics of human resources management in institutional household and the organization of institutional household according to user; child, adolescent and the old. This study suggest that rimited resource and it’s solutions, small group as open system and role of contact person must be considered importantly in management human resources of institutional household. And suggested organization of chile care center, adolscent trainning center and retirement home.

• Korean Journal of Human Ecology
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• v.20 no.5
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• pp.1059-1074
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• 2011

The purpose of this study is to provide a practical guide for planning the private and shared space of student housing for one person household by analyzing their satisfaction and preference. The data was collected through a questionnaire-survey from the students of the university in the city of Cheongju, Chungbuk. 191 samples were collected and analyzed by using SPSS-PC. The results are as follows: (1) this survey showed that most students are dissatisfied with private and shared spaces to narrow size, an unpleasant indoor environment, and incomplete facilities. (2) The most preferred housing type is an officetel in one room style because of its convenience. The majority of students preferred a bedroom, bathroom, kitchen and dining room in personal preferential order with a wide room, well-ventilated environment, and reasonable space zoning for planning the private space. Broad personal spaces with shared spaces such as a study room, cafeteria and health zone are in demand for unit planning. Therefore, to provide privacy for personal living and to develop community spirit, there needs to be a movement to better for community living by arranging optional shared spaces.