Because of rapid aging, housing stability of elderly household is becoming an important social problem. The population of the elderly people was 11.3% and that of the elderly household was 23.2%, about 407 million, in 2010. Yet, social policies for elderly people are focusing on the household who takes care of the elderly people, not on the elderly headed households. These policies fail to reflect the reality. Housing satisfaction of the elderly household is different based on the tenure type and the satisfaction can be further affected by the types of elderly household within the same tenure group. Thus, strengthening the policies for the elderly headed households as well as differentiating the policies based on the types of household is required in order to meet the needs of the elderly households. For the elderly household living in a rent house in a city, a housing voucher is needed and for the low income elders who own their houses, housing renovation is required. Public housing affects only the residential satisfaction of single elderly households, not for all elderly households probably because public housing does not meet the demand of the elderly households appropriately. Since the elderly households wanting to move is noticeably small, a policy that provides proper facilities within the elders' neighborhood is most necessary. Also, in order to lessen the burden of housing expenses of the elders with low income, a public housing policy, in which 2-3 people living together in one public housing, needs to be examined.
International Journal of Advanced Culture Technology
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v.11
no.3
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pp.122-130
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2023
This study aimed to identify factors associated with depression by household type among the elderly in the community during the COVID-19 pandemic. The subjects were 72,812 elderly aged 65 and over who participated in the 2020 Community Health Survey. Multivariate logistic regression with complex samples was performed to analyze the data. The incidence of depression was higher in single-person households than in multi-person households. In single-person and multi-person households, depression was higher in women, those over 75 years old, those with middle school graduates or lower, those with a household monthly income of 1 million won or less, and those receiving basic living recipients. Factors related to depression among the elderly in single-person households were physical activity, sleep time, and drinking, among the changes in lifestyle due to COVID-19. Factors related to depression among the elderly in multi-person households were physical activity, sleep time, consumption of instant food, and alcohol drinking, among the changes in lifestyle due to COVID-19, and psychological concerns due to COVID-19. Promoting mental health and developing customized programs by household type is necessary to prevent depression in the elderly in the community.
The purpose of this study was to propose ubiquitous housing environment based on older residents' needs for ubiquitous(UT) home services. For this purpose, at the previous study which was the first stage of this study, UT home services by each elderly household based on spouse, income level, and health status were identified and this study finally proposed UT home services by each elderly household type according to residents' level of needs for UT home services. One to one interview with a structured survey questionnaire and illustration was implemented and 204 older residents who were composed of one of six elderly household types were responded. Among 6 types of elderly households, type 2 and 6 were the groups which had higher needs for various kinds of UT home services. Economic status and their health status were the key factors to determine their needs for UT home services. Type 4 and 7 were the groups to express their lower needs for UT home services due to their lower income level and good health condition. Ultimately, two floor plans for type 4 and 5 elderly households were developed to show applicable UT home services in each room of the house.
The aim of this study was to investigate the effects of household type on the health- and food-related behavior of the elderly. The survey was conducted on 304 free-living elderly persons in Chun-Chon city in 1999. The subjects were divided into three groups by their household types : living alone (n=35), living with their spouses (n=59), and living with their extended family (n=191). The results were obtained by personal interviews using questionnaires. Compared to the group living with their spouses and/or extended families, the elderly living alone were : less satisfied with the amount of monthly pocket money available; less involved in social activities; taking less vitamin supplements; doing less physical exercise; more frequently skipping meals and dining out; less frequently consuming meats, vegetables, fruits and seaweed; and having the highest rate of depression. The elderly living with their spouses tended to have the best physical functions and the greatest ability to carry out basic daily activities. The elderly living with their extended families had a higher incidence of diseases compared to the other groups. The preferred snacks were cookies for the elderly living alone, and fruits for the other two groups. In summary, it has been shown that household type should be taken into consideration for formulating adequate future strategies for effective health and nutrition programs.
Journal of The Korean Society of Integrative Medicine
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v.11
no.3
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pp.35-47
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2023
Purpose : As the population aging deepens, the number of elderly people with arthritis is also continuously increasing. Accordingly, this study intended to identify the factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis according to household type and provide baseline data for developing a measure to enhance the life quality of the elderly with arthritis. Methods : The factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis were identified based on the raw data from the Korea national health and nutrition examination survey conducted in 2021. Data were analyzed with SPSS Statistics ver 25.0 for windows (IBM Corp), and the significance level (α) was set to .05. Statistical analysis was performed with t-test, ANOVA, multiple regression analysis, and post-hoc analysis with Duncan test. Results : The factors that influenced the health-related quality of life (HINT-8) of single-households were medical aid (β=-.17, p=.045), restriction of activity (β=-.17, p=.023), self-rated health status (β=.29, p<.001), and anxiety scale (β=-.36, p<.001). The factors that influenced the health-related quality of life (HINT-8) of multi-households were an age of 75 or over (β=-.14, p=.011), living in rural (β=-.14, p=.003), the outpatient department treatment experience (β=-.09, p=.047), self-rated health status (β=.26, p<.001), anxiety scale (β=-.29, p<.001), and stress (β=-.22, p<.001). Conclusion : Factors affecting the health-related quality of life (HINT-8) of the elderly with arthritis were found to be different between single-person households and multi-person household. Therefore, it is necessary to prepare measures to improve the quality of life of the elderly with arthritis by considering the factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis according to the household type identified in this study.
This paper examines the impact of the Basic Pension scheme in terms of poverty reduction and income distribution among elderly households by focusing on the differences in the household type. It compares the data before (2013) and after (2016, 2019) the introduction of Basic Pension by using Household Income and Expenditure Survey data. Empirical analyses indicate that, first, the overall income and the public income transfer of the elderly households increased during the period compared. Second, the poverty rate was considerably higher for the elderly living alone than for other household types. The government policy led to poverty-reduction for all types of elderly households, wherein the effect was most profound in the case of elderly living with spouse. Third, income distribution improved for all types of elderly households, though maximum margin was observed in the case of the elderly living alone. Fourth, according to the multivariate logit regression, the Basic Pension had a positive impact on reducing the risk of poverty (defined as below 40% of median income) among the elderly households.
The purposes of this study were to identify living behavioral patterns in of single or couple elderly households in residential environment, to find out ubiquitous home services for the elders, and finally to suggest the ubiquitous home services according to each household's type. For this study, literature review, field works for ubiquitous home services for the elders, and in-depth interview and observation by 74 elderly participants were conducted. The major findings of the study were as follows: single or spouse elderly households were classified into 8 types according to the combination of their household types, income level, and health status. Among 8 types, 2 types were excluded for final analysis due to small sample size. Living behavioral characteristics of 6 types were analyzed and the behavioral pattern of each type was drawn. Based on this behavioral pattern of each type, ubiquitous home services which meet the needs of each type were suggested. The implications and limitations of this study were also discussed and the suggestions for further studies were recommended.
Medical cost for elderly is increasing with ageing society and putting more and more burden on both individuals and government. To find a solution to reduce medical cost among elderly and to propose implication/suggestion to central government and a local government, different degree of medical cost burden by type of household and factors that affect increased medical cost are investigated based on elderly in Suwon city in this article. According to the research result, 59.3% of respondents felt medical cost burdensome. Also, according to the multiple regression performed to understand factors that increases medical cost by type of household, subjectively felt health status was found to be a statistically significant factor commonly in three groups which are living household with adult child, living household with spouse only, living household alone. And the degree of medical cost was higher in living household with spouse only, more higher in living household alone. And socioeconomic status and health status, health status, and health status and private insurance, medical security system were found to be significantly related to medical cost burden to household type of the elderly.
Choi, Minji;Joo, Hye Jin;Kim, Taehyun;Beck, Sang Sook;Chung, Woojin
Health Policy and Management
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v.32
no.2
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pp.190-204
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2022
Background: In Korea, the population is rapidly aging, and the types of households for the elderly are also diversifying. The self-rated health of the elderly is a valuable health indicator that can comprehensively represent the overall quality of life along with physical, mental, and functional health. On the other hand, studies on the association between household type and self-rated health of the elderly are still insufficient. Thus, this study analyzed the association between household type and self-rated health by gender in Korean older adults. Methods: Using data from the analysis of the National Survey of Older Koreans 2017, 10,299 elderly people aged 65 and over were targeted. For the accuracy of the analysis data, 9,910 people were selected as the study sample by excluding proxy responses, those diagnosed with dementia, and non-response. And technical analysis, univariate analysis using the Rao-Scott chi-square test, and logical regression analysis involving survey characteristics were conducted by gender. Results: According to the adjusted model with all variables, in both men and women, the odds ratio of self-rated health 'bad' in 'couple (with ill spouse)' was significantly higher than 'couple (with spouse)'. It was 2.54 (95% confidence interval [CI], 2.05-3.15) for men and 2.11 (95% CI, 1.70-2.62) for women. In addition, the odds ratio of self-rated health 'bad' in 'living with adult children' was 1.43 (95% CI, 1.09-1.87) for men and 1.42 (95% CI, 1.15-1.75) for women, which was more significant in women than men. Conclusion: This study states that there is an association between gender, household type, and self-rated health of the elderly, and the health of a spouse and cohabitation with children have a significant effect on self-rated health. As a result, in order to improve the health status of the elderly, health promotion and health care policies involving the characteristics of the elderly's gender and household type are needed.
Single household is expected to be the typical form of future Korean elderly household from reduction of household size and rapid growth of the elderly. As Japanese solve the same problem with Senior Sharehouse, a case study on Senior Sharehouse in japan focused on the Spatial Arrangement and Spatial Composition could suggest an potential applications in Korea. In conclusion, compare to Korea, the Senior Sharehouse in Japan supplies additional $7.5{\sim}9.3m^2$ more space to support the physical movement of the elderly and to help the elderly to solve various functions at one space. The independence and privacy of residents are also assured by supplying single occupancy. Space analysis shows that public space is as spacious (47.3~55%) as personal space. The result of the Space analysis suggests that the sharehouse provides rational ratio of space to assure residents' independence. It was supposed that the center type would be the main stream of the Spatial Arrangement for sharehouse considering its characteristic of sharing space. But, the Senior Sharehouse in Japan prefers corner type. The guarantee of personal space is being considered as a important characteristic. As a result of case analysis, Senior Sharehouse can be a proper type of house for single elderly household and present study can be used for the baseline data to solve the residence problem for single elderly household in Korea.
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