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.
The basic purpose of this study is to explore the household economic effects on home administration. The major goals of home administration is to promote mental and physical welfare of the family members. In order to realize mental and physical welfare, the stability and satisfaction is needed. And to promote stability and satisfaction, the efficiency must be accomplished and the efforts is required. So the four variables to measure home administration situation are as follows. 1) The degree of the stability 2) The degree of the efficiency 3) The degree of the efforts 4) The degree of the satisfaction. The factor of Household economic level is the size of the family's money income. Although size of income is not the bases for either standard of living or Socioeconomic status, it is closely related to both. To solve this problem. Some hypotheses are specified as follows. Hypotheses I The degree of the stability is different among the groups by income level. The group which is high income level will be more stable than low income level. Hypothesis II The degree of the efficiencies different among the groups by income level. The group which is high income level will be more efficient than low income level. Hypothesis III The degree of the efforts is different among the groups by income level. The group which is high income level will more effort than low income level. Hypothesis IV The degree of the satisfaction is different among the groups by income level. The group which is high income level will feel more satisfaction than low income level. In order to test those hypotheses random selection of 190 subjects from the four girls high schools in Seoul was made, and the parents of the students reported their home administration situation. The results of this study show that; 1) the group which is high income level revealed more stability than low income level. The differences of each group are revealed very significant. 2) The differences of the degree of the efficiency among the groups are unsignificant. 3) the group which is high income level revealed more effort than low income level. The differences of each group are revealed significant. 4) The group which is high income level revealed more satisfaction than low income level. The differences of each group are particularly significant. So the conclusion can be drawn from this study. Every group by income level revealed significant differences in home administration. So the household economy greatly effects on home administration.
This study identifies the relation between recognition relatively deprivation and consumption patterns. The data used were the seventh Korea Welfare Panel Study (KOWEPS). The final sample of 1,597 households was selected based on several sampling steps standard weights suggested by KOWEPS were applied. The final sample was subdivided into household recognizing relatively deprivation (51.7%) and non-household recognizing relatively deprivation (48.3%) per level of subjective income and objective income. We derived six consumption patterns from the cluster analysis as per consumption ratio: transportation dominant consumption pattern, essential consumption pattern, other dominant consumption pattern, care attention consumption pattern, private transfer consumption pattern, and education dominant consumption pattern. The results of this study are as follows. The analysis of the determinants of recognizing relatively deprivation in regards to question one found that the household was likely to be relatively deprived when: the head of a household was older, a household had a dual income, children and more total assets then those assessed 1 year ago compared to household living conditions, result of comparing the consumption patterns difference between household recognizing relatively deprivation and non-household recognizing relatively deprivation indicated that household recognizing relatively deprivation was more likely to belong to the transportation dominant consumption pattern, other dominant consumption pattern, and private transfer consumption pattern. The multinomial logistic analysis conducted to understand the determinants affecting the consumption patterns of household recognizing relatively deprivation indicated differences in demographic characteristics, household-related variables, financial variables and perception of economic conditions.
The purspoe of this study is to identify the socialization level of household work of the employed and unemployed housewives and it's related variables in order to provide some fundamental information for the rational and effective performation of the household task. For the purpose of this study, 700 questionnaire were distributed to the employed and unemployed wives who lived in Seoul. The data were analyed by the Frequency distribution, Percentile, t-test, F-test, Duncan's Multiple Range Test, and Multiple Regression Analysis. The main results were as follows : (1) Socialization level of household work of the employed wives was a little below medium point. When the household work was devided into three subdomains, in the domain of food and shelter, the socialization level was far below medium point. In the domain of clothes, the socialization level was a little higher than medium point. Socialization level of household work of the unemployed wives far below average. When the household work was devided into three sudbomains, in the domain of food, clothes and shelter, the socialization level was far below average, too. Socialization level of household work was significantly different according to the employment. (2) Among the background veriables, family income, household work helper, and frequency of leisure activities have a significant influence on the socialization level of the employed wives. Duration of marriage, housewife's education level and house income have a important effect on the socialization level of the unemployed wives background. (3) Among the background variabels of household work, performing competence of household work is powerful effect on the socialization level of the employed wives. And as for the unemployed wives, performing competence of household task and recognition of the velue of household work are significant variables. (4) The psychological variable such as sex-role attitude gave no noticeable influence on the socialization level of employed and unemployed wives. (5) In conclusion, classifing the variances influencing on the socialization level of household work in a measure of respcetive effect, it appears to be performing competence of household task, frequency of leisure activities, house income, sex-role attitued and educational level in the order of their influences for the employed wives. And as for the unemployed wives, it seems to be house income, educational level, performing competence of household work and frequency of leisure activities. To the two sides, the rate of explanation is shown at 35%.
The purpose of this study is to develop a computer software titled "Compare & Evaluation Program for Household Consumption". This software is developed in Microsoft Visual Basic 6.0. For the data of this program, the family Income and Expenditure Survey(1998) produced by the National Statistical Office in Korea is used. This program compares income and consumption expenditure for each household with those for standard household according to income level and family life cycle. This program gives information and suggestion for household consumers to manage rational household consumption. Also this study investigates validity and usefulness of the software program by interviewing 20 households used this program.
BACKGROUNDS/OBJECTIVES: The effects of malnutrition on growth of toddlers and preschoolers by socioeconomic status are not well known. This study aimed to examine the effects of dietary intake on growth outcomes in toddlers and preschoolers by household income level. SUBJECTS/METHODS: The study population was a total of 1,687 children aged 1 to 5 years that participated in the KNHANES from 2009 to 2011. Growth of children was assessed by height for age (HFA) and weight for height (WFH). Children were classified into three groups according to children's HFA and WFH compared to the $10^{th}$ and $90^{th}$ percentiles of the 2007 Korean Children and Adolescent Growth Standard. Average monthly household income was divided into quartile groups. Dietary intake data were obtained by using the one day 24-hr recall method. Risks of inadequate intake of nutrients and unfavorable growth were estimated by using a multiple logistic regression model adjusted for sex, age, region, and energy intake. RESULTS: The low HFA group (<$10^{th}$ percentile) had significantly lower intakes of energy, carbohydrate, and thiamin as compared with the high group (${\geq}90^{th}$ percentile). For WFH status, vitamin C intake was lower in the low group than in the high group. Household income level was related to WFH status but not HFA. Children from lower income households were more likely to have high WFH than those from higher income households (P for trend = 0.038). Household income status was also significantly related with risk of inadequate intake of micronutrients such as thiamin (P for trend = 0.032) and vitamin C (P for trend = 0.002), showing higher odds of inadequate intakes in children from lower income households. CONCLUSIONS: Children from lower income households were prone to be overweight and to have inadequate intakes of micronutrients such as thiamin and vitamin C. To reduce nutritional and health disparities, collective action in the public sector is required from early life.
Although the universal health insurance, National Health Insurance (NHI), have improved access to health care and financial burden of health care costs for Koreans, limited coverage of the NHI leads to high out-of-pocket payment for health care. This study examines financial burden of household health expenditures by income level. Data from the Urban Household Expenditure Survey from 1985 through 2005 is analyzed and household expenditure is used as a proxy measure for income. Health expenditures include spending for inpatient care, ambulatory care and pharmaceuticals. If a household spends health expenditure above 40% of household consumption except for foods, that is defined as catastrophic health expenditure. Access to health care for the lowest income group had been improved for two decades relative to other income groups as well as in absolute term. However, both financial burden of health expenditures and the proportion of households that experienced catastrophic health expenditure had been increased in the lowest income group. Study findings have several policy implications. First, in terms of financial burden of health expenditures. the differences among income groups decreased until 2000 but it was worsen in 2005. This suggests that recent policies for extending NHI coverage are not enough to improve the disparity by income level. Second, a differential catastrophic coverage by income level would be an effective strategy that relieves financial burden for low income group. Third, since the catastrophic coverage is applied to only covered services by the NHI, additional strategy for uncovered services should be considered.
The objective of the this study is to find a way to increase fm household income through investigating their computer applications. We utilized the 2000 Korea Agricultural Survey data and applied a Heckman Selection Model to correct a selection bias. The present study found the following results. First, determinant of income among fm households by the level of computer applications has significant statistical differences based on their choices of computer applications. Accordingly, the application of general linear regression about fm income without adjusting these choices may cause statistical fallacy. Second, it has been reported that increasing the member of household is not directly related to increasing the fm income. In case of computer-own farm household, the effect of decrease in income according to increasing in age was predicted. However, in the fm household not possessing computer, it shows negative relationship. It shows that an agricultural career of farm owner and educational attainment of all farm household members have positive relationship regardless of computer possession. The income of the farm household those main field is not agriculture is also found to be lower than that of farm household whose major earnings come from agriculture.
Objectives: This study used the 2018 Korea Health Panel Survey data to analyze factors affecting employment status and income relating to unmet dental and medical care needs. Additionally it investigated measures to reduce oral health inequality among various socioeconomic classes. Methods: Descriptive statistics for the subjects' unmet dental and medical care needs were calculated through chi-square test analysis, and multivariate logistic regression analysis was applied to identify factors affecting the unmet dental and medical care needs. The odds ratio and 95% confidence interval were calculated for each level. These data were analyzed using STATA 17.0 SE (64-bit) version, and the statistical significance level was set to p<0.05. Results: As a result of unmet dental and medical care needs according to general characteristics, the lower the education level (p<0.001), the higher the age (p<0.001) and the lower the household equalization income (p<0.024) and the smoker status (p<0.003) were, respectively. Factors that have a statistically significant impact on unmet dental and medical care needs were divorce, separation and bereavement (p<0.001) in individuals than in married persons, and being smokers than non-smokers (p<0.009). The frequency of unmet dental and medical care needs were found to be lower in the cases of a high school graduate than an elementary school graduate (p<0.018), and of higher household equalization income (p<0.001) than the lowest household equalization income, respectively. Conclusions: It was found that various factors such as age, education level, household equalization income, employment status, type of working hours type, and smoking status affect unmet dental and medical care needs.
Seo, Su Ra;Kim, Su Young;Lee, Sang-Yi;Yoon, Tae-Ho;Park, Hyung-Geun;Lee, Seung Eun;Kim, Chul-Woung
Journal of Preventive Medicine and Public Health
/
제47권2호
/
pp.104-112
/
2014
Objectives: To date, studies have not comprehensively demonstrated the relationship between stroke incidence and socioeconomic status. This study investigated stroke incidence by household income level in conjunction with age, sex, and stroke subtype in Korea. Methods: Contributions by the head of household were used as the basis for income levels. Household income levels for 21 766 036 people were classified into 6 groups. The stroke incidences were calculated by household income level, both overall within income categories and further by age group, sex, and stroke subtype. To present the inequalities among the six ranked groups in a single value, the slope index of inequality and relative index of inequality were calculated. Results: In 2005, 57 690 people were first-time stroke patients. The incidences of total stroke for males and females increased as the income level decreased. The incidences of stroke increased as the income level decreased in those 74 years old and under, whereas there was no difference by income levels in those 75 and over. Intracerebral hemorrhage for the males represented the highest inequality among stroke subtypes. Incidences of subarachnoid hemorrhage did not differ by income levels. Conclusions: The incidence of stroke increases as the income level decreases, but it differs according to sex, age, and stroke subtype. The difference in the relative incidence is large for male intracerebral hemorrhage, whereas the difference in the absolute incidence is large for male ischemic stroke.
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