• 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.

• 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.

• 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 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.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.5D
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• pp.657-662
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• 2011

The relationship between household attributes and trip generation can only be found in Seoul Metropolitan Household Travel Survey, which has been implemented every 5 years. However, various household attributes' impact on trip generation has not been analyzed closely. This paper compared and analyzed those impact. The results could be useful when trip generation models are studied in the future. They are as follows. The household size should be an important classification criteria when household trip generation is estimated. The traditional assumption that the relationship between household auto ownership and trip generation is positive and linear correlation should be reconsidered. Weekday travel data only did not showed that housing type has an influence on trip generation. Household income is unrelated with trip generation among single-person household, while multi-person household is related strongly. However, when trips are classified by purpose, impact of household income on trip generation are varied by trip purpose. Especially, the increase in single-person household can not be overlooked when trip generation is forecasted.

• Women's Health Nursing
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• v.25 no.3
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• pp.299-314
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• 2019

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.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.389-400
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• 2022

This study was conducted to identify factors influencing mental health of one-person household members. Using data from the 2019 Korea National Health and Nutrition Examination Survey, 768 subjects were included. The SPSS/Win 21.0 program was used, and the complex sample design data were analyzed by Rao-Scott 𝑥² test and multiple logistic regression analysis. Of the subjects, 29.9% perceived high stress, 16.2% felt depressed, and 8.2% had suicidal ideation. The influencing factors of stress perception were age and subjective health status(p<.001). Factors influencing depressed mood were household income, subjective health status, and perceived stress(p<.001). Factors influencing suicidal ideation were age, household income, subjective health status, perceived stress, and depressed mood(p<.001). The results of this study can be used as basic data for improving mental health services of one-person household members.

• The Korean Journal of Food And Nutrition
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• v.33 no.3
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• pp.322-330
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• 2020

The purpose of this study was to investigate the comparison of nutrient intake and metabolic syndrome between single person households and non-single person households in elderly subjects. We analyzed data from 2,903 subjects ≥ age 65 who participated in the Korea National Health and Nutrition Examination Survey (KNHANES) 2013~2015. As a result, single-person households had lower income and economic ability, overall nutrient intake was deteriorated, and the proportion of high-carbohydrate intake was high, compared to non-single person households. After adjusting for potential confounders (sex, age, education, household income, economic activity, smoking status, alcohol consumption, walking frequency, health status, depression status, and dietary factors), the single-person household showed a tendency of 1.22-fold higher ORs of metabolic syndrome and 1.3-fold higher ORs of hypertriglyceridemia than the non-single-person household. We suggest that the single-person household may be associated with increased prevalence of metabolic syndrome and hypertriglyceridemia in the elderly subjects.

• 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.

• Journal of the Korean Home Economics Association
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• v.26 no.4
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• pp.67-85
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• 1988

This study focused o investigating the variables dauther-in-law and mother-in=-law's subjective household crowding. And which is the best index among space per person, persons per room, and the number of family members was the next issue. the results of this study were as follows. 1. Variables that effected on the dauther-in-law's subjective household crowding were expectation about the number of rooms, the educational level of the dauther-in-law, duration of marriage, educational level of mother-in-law, space per person. In the case of mother-in-law, these were duration of marriage, space per person, expectation about the number of rooms, educational level of mother-in-law. 2. The best objective household crowding index was the space per person. Finally we need to look at the suv-dimension that composed of subjective household crowding of the old.