• Journal of Families and Better Life
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• v.33 no.6
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• pp.115-128
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• 2015

This study aims to examine the general tendency of suicidal ideation in single person households and to analyse the differences and effects of related variables(sociodemographic variables, characteristics of single person households, happiness and depression) on suicidal ideation. For achieving these purposes, a survey was conducted using questionnaires, based on quota sampling that considers the distribution of population in each dong of one Gu in Gwangju. Finally, data of 686 single person households were used for analysis. The study findings were as follows. The average score of suicidal ideation in single person households was 6.47 points, it was somewhat higher as compared to prior research that was targeting general households. And the average score of happiness index was 4.17 points, depression was 33.11 points. The level of suicidal ideation in single person households was significantly different according to age, occupation, economic status, health status, period of single life, life satisfaction, and contact with family. In addition, the level of depression(${\beta}=.24$, p<.01) had the biggest effect on suicidal ideation in single person households and it was followed by happiness index(${\beta}=-.19$, p<.05) and family visit(${\beta}=-.15$, p<.05). The total explanatory power was 37%. These findings imply that it is important to find a high mental health risk group and treat it early, because there is a high possibility that single person households might have mental health problems by being isolated or alienated from society. In addition, diverse program and services designed to maintain familial bonds despite family members living separately are needed.

• 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.

• 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.

• Asian Journal for Public Opinion Research
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• v.11 no.1
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• pp.54-74
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• 2023

This study examined the subcomponents of the local environment that have an important influence on the life satisfaction of people living in single-person households and analyzed how the causal relationship between these variables differs between generations. Specifically, the local environment was classified into the following subcomponents: convenience, comfort, safety, healthcare, and neighborhood relationships. This study analyzed the data of 3,260 respondents from single-person households in the 2020 Residents' Quality of Life Survey in Gyeonggi Province. As a result, it was found that the perception of all subcomponents of the local environment had a positive effect on the life satisfaction of people in single-person households. The effect of neighborhood relationships was relatively large compared to other subcomponents. Next, the influencing factors on life satisfaction of people in single-person households showed differences between generations, which were defined by this study as youth (under age 35), middle-aged (35-64), and elderly (65 and older). Convenience and safety for the youth group and neighborhood relationship for the middle-aged group were most important. The elderly group was most affected by healthcare. The proportion of single-person households worldwide, including in Korea, is gradually increasing, and considering this, this study provides important policy implications.

• Journal of Service Research and Studies
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• v.5 no.1
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• pp.105-111
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• 2015

According to Korea Social Trends 2012 report presented in National Statistical Office, based on 2010, single-person household out of all households in Korea ratio is 23.9%, not only this ratio is beyond a family of four's ratio (22.5%) but also overtake couple-person household. Last year, according to financial industry and National Statistical Office, Korea's single-person household is estimated 4 million Five hundred and thirty thousand nine thousand family (25.3%). this mean is Korea's One of four household furniture is single-person household. Furthermore. According to National Statistical Office's report 'Future household projections 2010~2035 Report', In 2035, Korea's single-person household is assumed to increase by 34.3%. Korea's causes an increase of single-person household causes an increase is reduced marriage, increase in divorce, low fertility, increasing older singles etc. also Around the World as well as Korea single person household is increase. Based on 2011, single-person household is reached at 2 hundred million 42 million furniture (This ratio is 13%), China and U.S.A's single-person household ratio close in upon 30%. Sweden and Norway, the Philippines, Denmark is also approximately 40% of all households. Up to now, Not reached at OECD average, but this is increasing at a very fast pace. and then It will overtake this ratio. so government, regarding single-person household upsurge, try to find definitive solution. Appeared to statistics through the data, this find out the single-person household characteristics. Using association rule, the association between consumption trend and single-person.

• Journal of Family Resource Management and Policy Review
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• v.28 no.1
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• pp.13-25
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• 2024

The rate of single-person households has been increasing all over the world, and there has been a particularly rapid increase in them in Korea. Single-person households show unique and various characteristics related to the reasons for becoming a single-person household, gender, life cycle, and so on. Thus, research needs to focus on the specific groups of single-person households in order to provide tailored policies and programs. This study segmented single-person households in three groups based on life cycle: young, middle-aged, and older adults. Differences in the level of healthy lifestyle, as well as factors affecting that, were investigated according to the groups. The data were collected in 2022, with 237 respondents from single-person households in Kimpo. Descriptive statistics, t-test, ANOVA, and multiple regression analysis were conducted. The overall level of healthy lifestyle was found to be significantly higher for young adults compared to older adults. Results from multiple regression show that significant factors related to the healthy lifestyle of single-person households were gender, educational attainment, whether becoming a single-person household was voluntary, and whether the respondents had experienced discrimination as a single-person household. Significant factors differed by the sub-categories of the healthy lifestyle scale. This study has implications related to discovering differences in the level of healthy lifestyles of single-person households through examining the factors affecting it according to life cycle.

• Journal of the Semiconductor & Display Technology
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• v.21 no.1
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• pp.44-49
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• 2022

The number of single-person households is increasing worldwide, and among them, the proportion of elderly single-person households is increasing. In the case of elderly single-person households, a significant portion of their leisure time is devoted to watching TV. However, if they fall asleep while watching TV without turning it off, it may be difficult to sleep well due to lights and sounds of TV, which can cause health problems such as depression and reduced immunity. Therefore, in this paper, we propose a system that automatically turns off the TV when a person watching TV falls asleep. Images are collected using the camera installed in front of the TV. Since the posture of a person watching TV varies from a sitting posture to a lying posture, the system is designed to determine whether or not to fall asleep regardless of the posture. In addition, since it becomes difficult to judge eye movements as a person moves away from the TV, a method for extending the judgmentable distance is proposed. The system model was implemented and tested using a Raspberry Pi, a monitor, an infrared sensor, and a camera. Eye movements were judged regardless of sitting or lying position, and the distance between a user and a TV was extended by about 200 cm.

• Korean Journal of Culture and Social Issue
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• v.21 no.3
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• pp.551-573
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• 2015

The rise of single living has been one of the most important demographic shifts of recent decades. The solo household is a little less than 40% in Europe areas and that of Tokyo is over 45%. Being impacted this figure, the formation of single economy is the key word in World Economic Forum(WEF) 2008. Seoul' single household is increasing rapidly. Between 2000 and 2005, the growth of single person is around 34%, the population of single person reached 700,000 people. Now 20% of total household in Seoul is Single household. Living alone or solo living is not exceptional or special in Seoul Metropolitan City. The rise in single living will create pressures towards poverty and inequality and so on. Seoul should develop and prepare the urban policy for single household. We figured out the four key trends which composed of single household in Seoul. Four types of single person are like below : Gold Mr and Miss, Reserved labor forces, depressed single and silver generation. Gold group is amonst people aged 30 and 40 who is working in the area of white collar and professional. They are usually elective single person household who have chosen solo living. Reserved labor forces group is usually among 20s people who have not get the regular hob. For this group, job acquiring is the most important issue. Depressed single person household group is among people aged late 30s and 40s. Its group is the result from the broken family. The silver group is among aged over 65 that is the main issue of the aged society. In this research, we stressed that people living alone can be split into two types - elective single person households who have chosen single living, and forced single person household who have been constrained to this lifestyle by circumstances. Except gold group, the rest of the group is the forced single household who are faced to poverty. The monthly income of single person household is almost under 2 million won. Single person household is usually working in the blue collar job and service area. So, except gold group that is the smallest part of single person household, almost single person is not the target of private market, but the object of public policy.

• Journal of Family Relations
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• v.21 no.2
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• pp.25-51
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• 2016

Objectives: This research started with the attempt to comprehend the relationship between household types and psychological stability by linking single-person households to the emotional index "depression." Method: For this purpose, we first compare to see if there is a difference in socio-demographic variables, social relationships, the degree of depression between single households and multi-person households, and to comprehend the relative influence that household types have on depression by taking other factors under consideration. Results: Then based on the results, we compare and analyze the factors that affect the degree of depression on single-person households and multi-person households, respectively. To summarize the results, first of all, residents in single-person households are somewhat older but show lower level of income, education, and health condition compared to peers inmulti-person households. They also had a consistently high level not only in the frequency of contact and emotional connection with families, relatives, and friends, but also in the degree of depression when compared to multi-person households. Secondly, for depression, considering the various factors targeting all the households, the following had a strong influence in the order of "health condition compared to peers," "emotional connection with family," "household types," "emotional connection with colleagues," "frequency of contact with neighbors," "gender," and "age."The degree of depression increases in the following conditions: if the health condition is worse, lower emotional connection with family, single-person household, lower emotional connection with colleagues, lower the frequency of contact with neighbors, female, and older the age. Thirdly, comparing the factors that affect depression by dividing single-person households and multi-person households, "health condition compared to peers" and "emotional connection with family" had the largest effect in common, respectively. In cases of living alone, regardless of other factors, the degree of depression increases with "health condition compared to peers" and "emotional connection with family." Conclusions: On the contrary, in multi-person households, "health condition compared to peers," "emotional connection with family," "emotional connection with colleagues," "income," and "gender" are important.

• Journal of Family Resource Management and Policy Review
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• v.16 no.1
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• pp.123-148
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• 2012

The main objective of this study was to investigate how people prepare for old age by looking at financial statements from single-person households in Gyeonggi province; the policy implications regarding low fertility and population aging are considered. The subjects were members of 600 households who were aged 26 to 44 years old and not married. The data were analyzed by t-test, ANOVA, and dichotomous logistic regression using SPSS WIN 12.0. Respondents pointed out that financial problems are the greatest challenges for those facing old age in single-person households; they said that a stable job is the most important factor for secure living. About 57% of household residents responded that they have prepared for retirement, and a majority of them said they hoped to spend their elderly years with a marriage partner. The financial statements from single-person households were inferior to those from other types of households. The assets of single-person household members were less than those of other households. Only 10.5% of respondents have owned homes. The study discusses policy implications for those who want marriage and for those who don't want it. For those who want marriage, job-seeking support was proposed, and for the others, tax deductions and family programs for single-person households were proposed.