• Journal of Families and Better Life
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• v.22 no.6 s.72
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• pp.165-175
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• 2004

The purpose of this study was to classify the household financial strategies and investigate major determinants of the household financial strategies and financial performance. The data of 3,994 households is from the Korean Labor and Income Panel Stud?. The major findings were as follows. (1) The classified household financial strategies types were Residual ($44.6\%$), Informal Institutional ($13.3\%$), Financial Assets ($16.7\%$), Real Estate ($13.4\%$), and Diversified Portfolio ($12.0\%$). (2) The criteria of classification of the household financial strategies were relative, not absolute. (3) The household financial strategy types changed largely during a short period(1999-2000). (4) In all households, the variables that affected changes in household financial strategies were education, occupation, number of children, residential location and home ownership. (5) Households that employed a diversified portfolio strategy had the greatest financial performance (2,316,000 won net gain). (6) In all households, the variables that had the greatest influence on financial performance were the number of children, assets and debts. 1'he financial performance was significantly different according to changes in the household financial strategy.

• Journal of Families and Better Life
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• v.28 no.6
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• pp.195-205
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• 2010

households using the 2007 Korean Retirement and Income Study. Elderly households were classified into three groups based on the comparisons among the costs of living and then the factors influencing the probability of belonging to each group were investigated using multiple logistic regression models. The major findings are as follows. Firstly, the subjective adequate cost of living was the highest and the subjective minimum cost of living was the lowest. The actual cost of living was in between. Secondly, 42.6% of elderly households belonged to Group1(whose actual cost of living was less than the subjective minimum cost of living), 30.0% was classified into Group2(whose actual cost of living was greater than the subjective minimum cost of living but less than the subjective adequate cost of living) and the actual cost of living of the remaining 27.4% was greater than the subjective adequate cost of living(Group3). Thirdly, income was the strongest factor influencing the probability of belonging to each group, but the influencing factors were different for the logistic models for Group1 and Group3 based on Group2.

• Journal of East-West Nursing Research
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• v.27 no.2
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• pp.166-176
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• 2021

Purpose: This study was conducted to assess the effect of household types on the occurrence of chronic diseases depending on gender and to identify the factors associated with chronic disease occurrence in one-person households. Methods: Multivariate logistic regression analysis was conducted using the data of 15,949 adults with the age of 19 years or older from the sixth Korea National Health and Nutrition Examination Survey (2013~2015). Results: For male, the risk of chronic disease occurrence was higher in one-person households than in multi-person households, and the same held true after adjusting for the confounding factors. For female, no significant relationship was found between household types and chronic disease occurrence. Factors associated with chronic disease occurrence were age, employment state, marital state, smoking, perceived stress, and depression in male, and age, employment state, physical activity, and obesity in female. Conclusion: It is necessary to monitor the disparity in health depending on household types in male. Additionally, providing a gender specific chronic disease prevention and health enhancement program is required.

• Journal of Family Resource Management and Policy Review
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• v.23 no.2
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• pp.17-40
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• 2019

The purpose of this study is to analyze the present condition of work-leisure balance and its influencing factors in employed young single households. Three groups of sample households-work-oriented, balanced, and leisure-oriented-were compared by factors related to work and leisure. Six cases were interviewed to obtain qualitative data on the subjective meaning of work-life balance and its influencing factors. The results showed different characteristics between the three groups based on the various work- and -leisure- related factors: average weekly working hours of the week, number of vacation days per year, weekday leisure time, degree of weekday freedom, and sufficiency of the leisure cost. In addition, the characteristics considered desirable for quality of life differed between groups. Finding the meaning of life through work and leisure was very important for those respondents, who have an unstable position in the labor market, and who want to delay making decisions on moving into the marriage and family-building phase recognized as a major development task for Korean adults.

• Journal of the Korean housing association
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• v.6 no.2
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• pp.1-12
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• 1995

The purpose of this study was to examine the actual condition and trends in changing dwelling style, focusing on the behavioral posture. Questionnaire survey method was used in this study. Questionnaires were administered to 402 households (April. 1988) and 178 households (April, 1994) in Seoul. The major findings were as follows : 1. Dwelling style related to dwellers in Seoul can be classified into several changing patterns. 2. The factors which affected on the dwelling style were age. family income. type of house, the size of floor space, and the number of rooms.

• Korea journal of population studies
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• v.25 no.2
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• pp.271-291
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• 2002

According to a system-wide analysis utilizing the raw data of Korean urban households survey, the expenditure elasticity estimate of alcoholic demand is around 0.71, which implies the demand for alcoholic consumption is relatively necessary The own price elasticity estimates are pretty elastic between -1.79 and 2.10. The trend of price elasticity estimates shows to be more elastic recently from the past.

• Journal of Families and Better Life
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• v.23 no.3 s.75
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• pp.63-76
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• 2005

Using the data from the Family Income & Expenditure Survey, this study investigated (1)the factors determining the level of burden of the private educational expenditure in households; (2) the influences of the level of the burden of private educational expenditure on the other household expenditures. For the analysis of data Chi-square, GLM, Multinomial legit, and Seemingly Unrelated Regression were applied. The major findings were: (1) The factors associated with the burden of private educational expenditure were the number of students by each of the school levels, housing tenure, location of residence, educational attainment of householder; (2) Households with the lower level of burden of the private educational expenditure adjusted the allocation of the expenditure shares of food, utility, and transportation and did not reduce the levels of consumption. Households with the higher level of burden of the private educational expenditure adjusted the extensive ranges of the household expenditure shares and reduced the levels of consumption.

• Research in Community and Public Health Nursing
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• v.30 no.4
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• pp.449-459
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• 2019

Purpose: The aim of this study is to explore different types of self-rated health trajectories among one-person households in Korea. Methods: We used five time-point data derived from Korea Health Panel (2011~2015). A latent growth curve modeling was used to assess the overall feature of self-rated health trajectory in one-person households, and a latent class growth modeling was used to determine the number and shape of trajectories. We then applied multinomial logistic regression on each class to explore the predicting variables. Results: We found that the overall slope of self-rated health in one-person households decreases. In addition, latent class analysis demonstrated three classes: 1) High-Decreasing class (i.e., high intercept, significantly decreasing slope), 2) Moderate-Decreasing class (i.e., average intercept, significantly decreasing slope), and 3) Low-Stable class (i.e., low intercept, flat and nonsignificant slope). The multinomial logistic regression analysis showed that the predictors of each class were different. Especially, one-person households with poor health condition early were at greater risk of being Low-Stable class compared with High-Decreasing class group. Conclusion: The findings of this study demonstrate that more attentions to one-person households are needed to promote their health status. Policymakers may develop different health and welfare programs depending on different characteristics of one-person household trajectory groups in Korea.

• Journal of Nutrition and Health
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• v.17 no.3
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• pp.236-241
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• 1984

In order to make clear the relationship between sample design and sample survey in community, it was conducted research on sample design for National Nutrition Survey in 1983. In this paper it was tried to analize the data based on The Report of a Settled Population, 1981 conducted by National Bureau of Statistics Economic Planning Board. The sample was basically using stratified two-stage sampling with systematic sampling of Ban or Li as administrative unit. The population represents the whole nation excluding Jeju-do because of budget. The selection of sampling unit and sampling procedure was as follows. 1) Stratify the nation-wide area in 20 sections according to administrative districts. 2) Determine the sample size in each section according to equal proportional rate (1 / 8040) and to about 1,000 households in the sample. 3) Select the 25 sampling units by section according to households proportion. 4) Select the 10 households at random from each Ban or Li according to equal probability proportion as the final sampling unit. Using the procedure, it was sampled 1,000 households for National Nutrition Survey in 1983.

• Health Policy and Management
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• v.31 no.3
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• pp.355-363
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• 2021

Background: Self-rated health of women according to marital status and household type has rarely been considered. This study determined the differences in the self-rated health of women according to marital status and household type. Methods: Using cross-sectional data from the seventh Korea National Health and Nutrition Examination Survey, we included 9,990 women aged above 19 years. Multiple logistic regression was used to examine the relationships between self-rated health, marital status, and household type. Results: Overall, 74.5% of the women reported poor self-rated health. Regarding marital status and household type, one-person households and unmarried women had a higher risk of poor self-rated health (odds ratio [OR], 1.45; 95% confidence interval [CI], 1.03-2.05), while multi-person households and no-spouse women had a lower risk of poor self-rated health (OR, 0.69; 95% CI, 0.58-0.83). Furthermore, women who are one-person households and unmarried had a higher risk of poor self-rated health in those who had college or higher educational level (OR, 1.98; 95% CI, 1.25-3.13). Conclusion: Self-rated health among women was associated with marital status and household type. Future studies are required to generalize these findings by considering various household compositions to improve women's self-rated health status.