• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.5
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• pp.1199-1207
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• 2015

One-person household is increasing by the growth of unemployment, divorce, aging in Korea. In particular, One-person households have rapidly increased around Farming & Fishing Regions. In this regard, this research aims to suggest the directions of housing supply for one-person households suitable for Farming & Fishing Regions by investigating the characteristics of one-person households in the social, economic, and physical aspects. This study found out that one-person households could be divided into two groups; one group lived in industrialized Farming & Fishing Regions and the other group lived in traditional Farming & Fishing Regions. For one-person households living in industrialized Farming & Fishing Regions, it is necessary to provide age-mixed residential sites where companies and manufacturers are condensed. On the other hand, for the one-person households living in traditional Farming & Fishing Regions, it in necessary to provide multi-person housing units for increasing the quality of life ofne-person households.

• Journal of Korean Public Health Nursing
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• v.30 no.3
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• pp.483-494
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• 2016

Purpose: This study compared health behaviors and disease prevalence between one-person women and multiple-household women in Korea. Methods: This study used the 2013 data from the Korean Community Health Survey (KCHS). A total of 89,807 women, aged 19-64 years were included in this study. The data was analyzed using descriptive statistics and Chi-square test. Moreover, statistical processing was performed using the SPSS 21.0. Results: Among adult women, one-person households women was 6.2%. One-person household women were older than multiple-households women, and multiple-households women were less likely to exercise regularly. And disease prevalence was higher in one-person household women than in multiple-household women. Conclusion: Residence characteristics should be considered in developing a public health program to reduce or increase modifiable health behaviors and disease prevalence. The findings from this study suggest that policies to improve the support for healthcare of one-person household women is necessary.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.696-703
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• 2021

The purpose of this study was to analyze determinant factors of the life satisfaction of adults with brain lesions disabilities so as to provide suggestion for improving the quality of life. I used the data on second wave 4th Panel Survey of Employment for the Disabled. The total number of respondents was 281, 54 respondents of one-person households and 227 respondents of multi-person households. The data was analyzed using SPSS Win 25.0 program and utilizing χ² test, ANOVA, logistic regression analysis. Results of study were : First, The one-person households group showed middle aged and the elderly, lower income, basis living security recipient, lower help for daily life, lower participation in social activities than multi-person group. Second, level of disability, health status, participation in social activities, experience of discrimination were found to have a significant effect on the life satisfaction of multi-person households. And gender, age, health status, employment, experience of discrimination were found to have a significant effect on the life satisfaction of one-person households. Base on the results of this study, suggested for improving the quality of life in adults with brain lesions disabilities by households type.

• Journal of the Korean Society of Food Culture
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• v.38 no.5
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• pp.283-292
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• 2023

Considering that the number of middle-aged single-person households is increasing, this study investigates dietary behaviors, nutrient intake, and mental health according to household type. Data were procured from the 2015-2019 Korea National Health and Nutrition Examination Survey (KNHANES). Totally, 5,466 participants aged 50-64 years were classified into 2 groups: a household with one member was defined as a single-person household, and households with two or more members were described as multi-person households. Single-person households comprised 10.63% of the total, with a higher average age, and lower income and economic levels than multi-person households. Compared to multi-person households, single-person households had a higher frequency of skipping breakfast, eating alone, and dining out, the moderately and severely food insecure group was more than 5 times, and nutrient intake and dietary quality were poorer. In the fully adjusted model, the odds ratios (ORs) of depressive symptoms were 2.35 times (95% CI: 1.39-3.96), and suicide ideation was 1.95 times (95% CI: 1.35-2.82) in single-person compared to multi-person households. Our results lead us to conclude that poor dietary intake in middle-aged single-person households affects the mental health, and the above factors should be considered when framing the dietary policy.

• Land and Housing Review
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• v.11 no.2
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• pp.1-14
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• 2020

The aim of this study is to empirically identify the differentiating characteristics of determinant factors on sing-person households' commuting mode choice compared to multi-person households' one in order to establish the customized police directions to decrease private car use in commuting. While the study use the 2% sample survey data on the population and housing in 2015, it employ multinomial logit models on relative choice probability of such alternative commuting modes as bus, subway or rail, and walking, rather than driving. As potential determinant factors, the study employs demographic, socio-economic, and housing and residential one for both models of single-person and multi-person households. The study finds that the behavior of commuting mode choice has distinctive difference by gender, marriage status, physical activity constraint, job type, residential period in current housing of the single-person household's workers compared to the multi-person households' ones. Based on the findings, the study deduce ten commuting policy directions customized for the single-person household.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.5
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• pp.1117-1124
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• 2012

As a result of the 2010 census, the most severe change appears household structure changes and single-person households's constantly increasing. As a result, the following changes in the housing market are to be expected. First, the changes to the center of the two-person households in four-person households would be reorganized into the small and medium-sized apartment in the center of mid-range and high-end apartments. Second, on the continued increase in the proportion of one-person households, the sustained growth of the rental market is expected. Third, on the continued increase in the proportion of one-person households, one-room house, office buildings, and residential urban life set to meet the needs of consumers, a variety of rental market boom times will come.

• 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 the Korean Association of Geographic Information Studies
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• v.17 no.2
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• pp.59-71
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• 2014

At present, Korean one-person households have been continuously increased in spite of the reduction of total population. The increasement of one-person household has become a social and institutional issue. It is necessary to response socially and economically to not only changes of housing demand but also the disadvantaged classes such as the socially weak and single elderly household from the national level. In this respect, this research examined the spatial distribution (such as the increasing area, high-density area, and majority area) of one-person household with census data in the city of Busan. The clusters of one-person households were selected by focusing on the spatial distributions by time series changes of 2000, 2005, and 2010 and considering their housing characteristics. In terms of policy efficiency, the clusters of one-person households to be supported by priority were derived by analyzing the census data from 6066 output areas in the city of Busan. As a result, lots of one-person households of juniors were distributed around the university town, office facility, and station service area. Lots of one-person households at middle-aged class were distributed in Busan's original downtown and mountain-side road. Generalizing these characteristics, cluster analysis was conducted. As a result, one-person household dense area in Busan could be classified into four types. This research should be utilized as a counterplan for increasing the housing demand of one-person household or basic data for supporting small housing supply policies in the future.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.272-280
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• 2018

The purpose of this study was to analyze characters and determinant factors of the life satisfaction of the older adults with disabilities so as to provide suggestion for improving the quality of life. I used the data on 8th Panel Survey of Employment for the Disabled(PSED). The total number of respondents was 452, 126 respondents of one-person households and 326 respondents of multi-person households. The data was analyzed using SPSS Win 24.0 program and utilizing $x^2$test, ANOVA, logistic regression analysis. First, The characteristics of older adults with disabilities was man, married, mild disorder, physical external disorder, non-basis living security recipient, unemployment and the level of life satisfaction was 3.27. Second, The one-person households group showed female, non-married, severe disorder, lower acceptance of disability, lower health status, higher help daily living activity, higher discrimination experience, unemployment, lower income, basis living security recipient, lower position than multi-person group. Third, acceptance of disability, health status, social activity, religion were found to have a significant effect on the life satisfaction of one-person households. And acceptance of disability, health status, position were found to have a significant effect on the life satisfaction of multi-person households. Base on the results of this study, suggested for improving the quality of life of the older adults with disabilities.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1257-1260
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• 2017

Single-person households recently have been rapidly increasing and one reason may be the increment in elderly single-person. Since the change of living patterns is relevant to the government policy direction, it is important to understand how single-person households are clustered and which factors have influence on them. In this study, we tried to detect spatial clusters of single-person households and low-income elderly single-person households after adjusting for deprivation index. A recently developed fused lasso for Poisson data was used for data analysis and we provided the details on how to use it in R. From these analysis results, we observed the effect of socioeconomic level on the clusters and explained the reason why spatial clusters are shown after adjusting for deprivation index.