• Asian Journal for Public Opinion Research
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• v.12 no.2
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• pp.75-101
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• 2024

This study investigates the variation in anxiety levels across income classes in the wake of the COVID-19 pandemic in Indonesia. The research is based on data from nationally representative surveys conducted in 2017 and 2021, and it employs a multilevel mixed-effects ordered logistic model. The unique aspect of this investigation lies in its utilization of the Cantril ladder, a commonly employed tool in public opinion research, to gauge anxiety levels. Participants are prompted to assess their present life circumstances concerning their daily worries and anxieties. The empirical findings provide evidence that individuals in provinces with higher exposures to COVID-19 reported heightened anxiety levels. Furthermore, the results highlight a consistent association between higher household income and lower levels of anxiety. Notably, individuals from the highest income group experienced a substantial decline in anxiety levels during the pandemic. When examining specific income classes, the study reveals heightened anxiety among women in higher-income brackets and among lower-income households residing in urban areas. Furthermore, regarding macroeconomic circumstances, the results illustrate a positive correlation between economic prosperity and anxiety levels among members of low-income households. The study also uncovers a positive connection between income inequality and self-assessed anxiety within upper-middle and high-income brackets.

• Korea Journal of Hospital Management
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• v.29 no.1
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• pp.46-55
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• 2024

Objective: This study was conducted to provide basic data for the establishment of effective health policies for the unmet medical experience that may occur among the elderly depending on whether they live in a singleperson household or not. Methodology: This study used data from the 8th National Health and Nutrition Examination Survey (2019-2020) and excluded cases with missing values in variables for the total number of respondent participants of 15,469. Finally, 2,850 subjects aged 65 or older were selected for final analysis. This study examined the relationship between experiences of unmet medical needs, attempting to confirm the relationship between single-person households and unmet medical needs through subgroup analysis considering gender, age, and household income. Results: According to the results, in the case of single-person households, the odds ratio (OR) for unmet medical needs was significantly higher at 1.60 times (95% CI: 1.16-2.21). Upon conducting subgroup analyses for gender, age, and household income quintiles, the OR was significantly higher at 2.24 times (95% CI: 1.14-4.41) for males and 1.48 times (95% CI: 1.02-2.14) for females, statistically significant in both cases. For individuals aged 65-69, the OR was significantly higher at 1.90 times (95% CI: 1.04-3.47), but for those aged 70-74 and over 75, it was not statistically significant. In the case of households with 'low' income, the OR was higher at 1.62 times (95% CI: 1.16-2.26), and for 'middle' income, it was significantly higher at 3.21 times (95% CI: 1.08-9.51). Conclusion: This study confirmed that the experience of unmet medical care is high among men who make up single-person households and low-income seniors. Therefore, this study suggests that policies to expand medical services and support welfare for single-person households should be established to resolve these problems, showing that health policies that take into account individual and regional characteristics are needed to improve medical accessibility for single-person households.

• 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.

• Journal of the Korean housing association
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• v.24 no.5
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• pp.27-37
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• 2013

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.

• Journal of Preventive Medicine and Public Health
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• v.48 no.2
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• pp.84-93
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• 2015

Objectives: The present study was conducted in order to examine the association between socioeconomic status (SES) and osteoporosis prevalence in Korea and to assess whether different associations are found in single-person households. Methods: A cross-sectional population-based study was conducted using the Korea National Health and Nutrition Examination Survey, from 2008 to 2011. The study subjects were people aged ${\geq}50$ years with osteoporosis as defined by bone mineral density. Multivariate logistic models were used to estimate prevalence odds ratios (pORs) and 95% confidence intervals (CIs). Gender differences in the likelihood of osteoporosis were analyzed based on household income, education level, and residential area. Results: There were 8221 osteoporosis patients aged ${\geq}50$ years, of whom 927 lived in single-person households. There was a gender-specific association between osteoporosis prevalence and all three SES factors that we analyzed: income, education, and residential area. After adjusting for age, SES, and health behaviors, including body mass index (BMI), low household income was only significantly associated with osteoporosis in men, whereas education level had an inverse relationship with osteoporosis only in women (p=0.01, p<0.001, respectively). However, after controlling for age and BMI, rural residency was only associated with osteoporosis in women living in single-person households (pOR, 1.59; 95% CI, 1.05 to 2.43). Conclusions: The Korean adult population showed a gender-specific relationship between SES and osteoporosis prevalence, with a different pattern found in single-person households.

• The Journal of Economics, Marketing and Management
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• v.9 no.6
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• pp.15-24
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• 2021

Purpose: The purpose of this study is to analyze the residential environment satisfaction of young women's one-person households and the characteristics of young one-person households, and to present policy implications for their housing problems. Research design, data, and methodology: This study used 11th Korea Financial Panel Data. Analysis methods in this study include basic statistical analysis, frequency analysis, multiple regression analysis, and artificial neural network analysis. Results: As a result of the analysis of this study, 1) young one-person households showed that women had higher ratios of non-regular workers, real estate debt than men, and lower average income. The percentage of young people owning their own homes was very low at about 5%. 2) For young women, the higher the education level and monthly consumption, the lower the housing satisfaction. 3) Young women living in rental housing had lower housing satisfaction than their own. Conclusions: Women are paying more for housing security than men in young one-person households. In addition, the proportion of their own houses is very low. Therefore, there is a need for a policy on the housing safety issue of young women's one-person households. And policies to support young one-person households to own their own homes are required.

• Health Policy and Management
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• v.15 no.1
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• pp.30-56
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• 2005

This paper used two threshold approaches to measure the equity in urban households' out-of-pocket payments for health care from 1997 to 2002, which developed by Wagstaff and van Doorslaer. One approach used catastrophic health expenditure, which means that payments exceed a 'pre-specified proportion' of total consumption expenditures or ability to pay and the other used impoverishment that they did not drive households into poverty. Indicies for 'catastrophic expenditure' captured intensity as well as its incidence and also the degree of which catastrophic payments occur disproportionately among poor households. Measure of poverty impact also captured both intensity and incidence. The methods applied with data on out-of-pocket payments from the Urban Household Expenditure Survey Incidence and intensity of catastrophic payments - both in terms of total household consumption as well as ability to pay - increased between 1997 and 2002, and that both incidence and intensity of 'catastrophic expenditure' became less concentrated among the poor, but more concentrated in 2001 than in 1997. The incidence and intensity of the poverty impact of out-of-pocket payments increased between 1997 and 2002. Health security system may not have provided financial protection against catastrophic health expenditure to low-income households, because of high user fee policy not considering income level. The policies alleviating catastrophic health payments among the poor need to be more developed, and two threshold approaches further evaluated on our policy context.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7820-7830
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• 2015

Korean households' demand for food consumed away from home is on the steady increase. The ratio of eating-out expenditure of the household income, however, tends to decrease recently irrespective of income groups. This paper, therefore, aims to analyse the food-away-from-home expenditures of salary and wage earners' households by income decile group. The eating-out expenditure is modelled as a function of household income and then estimated using econometric methods such as regression, rolling regression, impulse response, and variance decomposition of forecast error. The regression results indicate that the higher the income decile group is, the lower the income elasticity of eating-out expenditure is, and the high income groups enjoy seasonal eating-out, the low groups do not. The coefficients of dynamic rolling regression are much smaller than those of static one, meaning that households tend to decrease the eating-out expenditure of their income. The impulse response analysis suggests that the eating-out expenditure increase of higher income groups lasts long relative to that of lower income groups. The variance decomposition, also, shows that household income plays much more important role in determining eating-out expenditure at the higher income groups than at the lower income groups.

• Journal of Nutrition and Health
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• v.40 no.8
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• pp.762-768
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• 2007

This study examined household food insecurity and the associations of food insecurity with socioeconomic conditions, food behaviors, and nutrient intakes among 458 older adults(mean age=$73.2{\pm}4.5$) from 5 clusters of low-income areas in Seoul, Korea. Using an adapted version of the USDA short form household food insecurity scale, 63.4% of the households were food insecure(40.7% for food insecure without hunger and 22.7% for food insecure with hunger). The proportion of household was lower on the items measured more severe level of food insecurity. Food insecurity was linearly and negatively associated with food expenditure, food secured period and the degree of nutrition management skills, health status and depression. Food secure older adults had mere of energy and other nutrients from animal resources(riboflavin and animal protein, fat and calcium), but less of carbohydrates than those from the food insecure households. These results suggest household food insecurity measures used in this study was valid as well as food insecurity was prevalent and an important indicator of nutrition well-being among low income elderly persons.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.4
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• pp.702-717
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• 2014

The purpose of this paper is to analyze the residential location preference factors by households' characteristics in the case of Daegu Gyeongbuk households. Under this research purpose, firstly, questionnaire survey of Daegu Gyeongbuk was done, and nextly, AHP(Analytic Hierachy Process) with questionnaire survey results was analyzed. The main results of this study are as follows. Firstly, residential location factors most preferred by Daegu Gyeongbuk households is capital gain, followed by living environment, accessibility of public transportation, accessibility of private car traffic and security. Therefore, we can see Daegu Gyeongbuk households prefer investment value and living amenity together as residential location factors. Secondly, according to the results of AHP by age, below 30th prefer accessibility factors, 40th prefer capital gain and school district factors, and above 50th prefer living environment, natural environment and security factors, relatively. Thirdly, according to the results of AHP by household income, low income households prefer living environment and accessibility factors, middle income households prefer capital gain and accessibility factors, and high income households prefer security, accessibility of private car traffic and view/sunlight factors, relatively.