This study attempted to examine the research trends of single-person households with disabilities using a systematic literature review research method. To this end, 2,161 papers published by September 30, 2023 were searched in a total of four databases: KCI, RISS, KISS, and e-Articl, combining related search terms such as single-person households with disabilities, single-person households and disabled person living alone. In five stages, irrelevant literature to single-person households with disabilities was excluded, and the final 13 documents were selected and analyzed. As a result of the study, first, research topics were classified into research topics for single-person households, analysis of the actual conditions and related factors, issues and support measures related to single-person households, and three case studies related to single-person households. Second, women, age, income, interpersonal skills, health, unemployment, and family support are lower in single-person households with disabilities. Accordingly, based on the research results, suggestions for follow-up studies and practical and policy implications for social welfare were presented.
The purpose of this study was to explore housing characteristics of young single- or two-person households in the U.S. metropolitan urban areas and determinants of their housing cost burden. Total 764 single-person households, 744 two-person households and 424 households with three or more persons were selected from the 2011 American Housing Survey public-use microdata for the study based on specific sampling criteria. The major findings are as follows: (1) In comparisons with larger households, single- or two-person households were characterized to be headed by younger householders, to have less income, and to have a greater proportion of households living in central cities of metropolitan areas, renting housing units, living in smaller size units or multifamily structures; (3) housing cost of single- or two-person households were significantly less than a larger households while housing costs per unit square footage (SQFT) of single- or two-person households was significantly greater; (4) regardless of the household size, there are many household headed by young college graduates paying too much of their income for housing, and single-person households were found to have the greatest housing cost burden; and (5) a linear combination of low-income status, monthly housing costs per unit SQFT, annual household income, and unit SQFT per person was found to be most efficient to predict single- or two-person households with housing cost burden.
Recently, one-person households have surpassed nuclear families. One-person households are expected to have many problems with health due to an irregular life style and a tendency to be more isolated from society. In addition, we need to divide the generations and survey each generation due to differences in one-person household factors and characteristics as well as the unique physical conditions of each generation. Therefore, based on the sixth Korea National Health and Nutrition Examination Survey, this survey examined health behavior differences between one-person households and non-one-person households according to generation (respectively) as well as studied how one-person households and health behavior influence subjective health conditions. The major result of this survey is as follows. First, one-person households reveal a higher rate in the negative health behavior than non-one-person households. Second, the physical activity of all households reveals a high rate of non-activity. Third, health scores of one-person households are lower than that of non-one-person households; consequently, the analysis of health scores for one-person households and non-one-person households indicated that the middle age health scores for one-person households have been lowest in generations. Fourth, the factors that influence subjective health conditions indicated that one-person household and health behavior has meaningful influence; in addition, the subjective health condition of one-person households are lower than non-one-person households under controlled health behavior.
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.
Purpose: This study was to conducted to investigate the prevalence and related factors of metabolic syndrome (MS) among Korean adults. Methods: We used secondary data of the sixth Korean National Health and Nutrition Examination Survey (KNHANES) from 2013 to 2015 and selected 4,939 adults 20 to 64 years old. General characteristics and health-related characteristics were included as related factors for analysis. Chi-square tests were used to compare the prevalence of MS between one-person and multiple-person households, while a multiple logistic regression model was used to identify factors to MS among one-person and multiple-person households. Results: MS of one-person households (26.4%) were significantly higher (${\chi}^2=7.81$, p=.017) than multiple-households (19.5%). Risk factors for MS were identified as walking, flexibility exercises, reading nutrition labels, and sleep hours in one-person households; and flexibility exercises and dietary control among multiple-person households using multiple logistic regression. Conclusion: Specialized health policies and programs should be provided to reduce MS prevalence in one-person households in consideration of risk factors revealed in this study.
The purpose of this study was to explore housing cost burden of young single- or two-person households in the United States who have recently moved for job-related reasons. Total 580 households were selected from 2009 American Housing Survey public-use microdata for data analysis. The findings are as follows: (1) Targeted single-person households were characterized as younger households with higher educational attainment, lower household income, and greater proportion of renters, multifamily housing residents and households with housing cost burden than other households; (2) two-person households showed a higher income level and lower housing cost burden; (3) characteristics that showed significant influences on housing cost burden were household size, householder's age, gender, race and educational attainment, household income level and tenure type; and (4) a linear combination of household size, household income, whether or not a low-income household, residency in metropolitan area, and home structural type were found to be most efficient to predict a single- or two-person household's housing cost burden regardless of the household size.
Purpose: This study was to identify health behavior, health service use, and health related quality of life of adult women in one-person and multi-person households. Methods: It was used data from the 7th Korea National Health and Nutrition Examination Survey (KNHANES VII-2017). Subjects were 2,522 women with age of 19 to 64 years in 2017. Complex sampling design and data analysis were performed using SPSS 20.1. Results: Women in one-person households had higher rates of alcohol drinking (${\chi}^2=13.77$, p=.003), smoking (${\chi}^2=16.07$, p=.001), unmet medical care (${\chi}^2=8.77$, p=.004) and non-practice of cancer screening (${\chi}^2=13.77$, p=.003) compared to women in multi-person households. Health-related quality of life was also lower for women in one-person households (t=-2.46, p=.015). Factors affecting health-related quality of life in one-person households were household income, job status, and unmet dental care, having 32.4% explanatory power. One-person household women with low incomes, no jobs, and unmet dental care showed low health-related quality of life. In comparison, factors affecting health-related quality of life of women in multi-person household women were age, education level, unmet medical care, and unmet dental care, having 10.4% explaining power. Women in multi-person households with age of 60-64, low education level, unmet medical care, and unmet dental care showed low health-related quality of life. Conclusion: Health promotion strategies should be developed based on unique understanding of social, economic, and health of adult women in one-person and multi-person households.
The housing market requires customized housing to be supplied according to the various characteristics of households. Multinominal Logistic Regression was used to analyze the effects of variables of household characteristics according to the number of family members on the choice of housing size in the scope of the whole country's housing market. Analysis showed that the number of family members has its own characteristics. When a household has a smaller number of family members, there are more variables affecting choice of housing size. Living and housing expenses variables served as significant variables that affect all household types. Results showed that households with more living and housing expenses are more likely to choose a large sized house and where households have a greater number of family members, there is more influence on that choice. The age of the householder was only found to be a meaningful variable in 1-2 person households and 3-4 person households, particularly in the choice of a small or large sized house. This shows that the age of the householder does not play an important role in choosing medium sized houses for households of under 4 people, but affects the choice of small and large sized houses. The academic ability of household members also served as a significant variable. While 1-2 person households with high academic ability tend to select a large sized house, 3-4 person households with high academic ability tend to select a small sized house. It is observed that members of both 1-2 person households and 3-4 person households tend to select their house between a large sized house and a small sized house in order to own their own houses. The result of this research suggests that there are various and detailed variables on the choice of housing size. Especially, a notable result is that household characteristics more significantly affect the housing size choice of 1-2 person households, while the trend of an aging society will more significantly affect a 3-4 person households' choice of a large sized house. Therefore, a study on the choice of housing size according to characteristics of elderly households and 1-2 person households should be continually analyzed.
Purpose: This study was conducted to identify unmet healthcare needs among man and woman one-person households and to explore related factors by gender. Methods: Data were drawn from the 2017 Korea National Health and Nutrition Examination Survey. The final sample consisted of 820 one-person households. The statistical analysis, conducted in SPSS version 20.1, included complex sampling analysis; descriptive statistics, the chi-square test, and logistic regression. Results: The demographic and socioeconomic characteristics of women in one-person households were significantly different from those of men in one-person households. Women in single-person households were mainly in their 70s or older and married, and they tended to have a low education level, low income, and no formal occupation. Unmet healthcare needs were experienced by 17.3% of women in one-person households and 13.5% of men in one-person households, which was not a statistically significant difference (χ2=2.17, p=.139). Factors related to unmet healthcare needs were subjective health status and unmet dental care needs in single-person-household men. By contrast, having experienced impairment within the past year, stress, and unmet dental care needs were factors related to unmet healthcare needs in single-person-household women. Conclusion: As one-person households become increasingly common, more attention needs to be paid to them and our understanding of them needs to be improved. Women in one-person households, in particular, are especially vulnerable, as they experience more unmet healthcare needs.
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.
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