Using 2004 Household Income & Expenditure Survey, this study investigated difference in consumption pattern among the households with the different number of children, and estimated the monetary cost of rearing children. The findings were as following. First, the major consumption categories for raising children included the expenditures for education, food materials, utility, health, and communication. Second, the potential consumption needs for clothing & foot ware and culture & entertainment were not fully satisfied for the households with children compared to the households without children. Third, in the households with one child, the level of consumption was about two thirds of that in the households without children. It was slightly above half in the households with two children. Lower consumption level of the households with children was mainly due to the burden of the educational expenditure. Forth, the average monthly cost of raising children was estimated by 680 thousands Won for one child, and 104 thousand Won for two children. Lastly, the implications for the fertility policy and the methods for the estimation of the child cost were suggested based on the results.
This study was designed with the purpose to analyze the factor structure of family life events and to clear the influence of related variables on family life events. The frequence of experienced events and the degree of importance of events which were the constituent components of family life events was estimated by the 650 married woman in Kangju. The results were as follows: 1. 15 factors of family life events derived by factor analysis: F.1「Expenditure and economic loss」, F.2「Growth and change of children」, F.3「Change of family structure」, F.4「Family's change」, F.5「Change of life level」, F.6「Family's social problem」, F.7「Need of care」, F.8「Family's health」, F.9「Marital relationship」, F.10「Family's social damage」, F.11「Breach with acquaintance」, F.12「Financial difficulties」F.13「Husband's problem」, F.14「Housewives' social activity」, F.15「Kinship's support」. 2. There frequence of experienced family life events such as expenditure and economic loss and breach with acquaintance was highest. 3. The degree of importance about experienced family life events such as growth and change of children was highest. 4. Age, family life cycle have significantly differenced on the degree of importance and the frequence of experienced events. 5. Education's level, family size, income, housewives' employment and family structure have differently differenced on the degree of importance and the frequence of experienced events according event factor.
This study examined changes in dietary life and dietary life satisfaction in one-person households during the COVID-19 pandemic. Using a sample of 916 one-person households from the Food Consumption Behavior Survey, we applied ANOVA and a system of equations model for our analysis which produced four main results. Firstly, during the COVID-19 pandemic, eating homemade and delivered meals increased, whereas eating restaurant, group, and HMR meals decreased. Eating breakfast and regular eating habits also increased during the pandemic. Secondly, approximately 30% of the sample reported increased expenditure on fresh food and HMR meals. The proportion of positive changes in dietary life was also greater than negative changes, and dietary life satisfaction was about three times higher than it had been before the pandemic. Thirdly, having breakfast and regular eating fully mediated the relationship between spending on fresh food and dietary life satisfaction, as well as the relationship between HMR purchases and dietary life satisfaction. Changes in expenditure on fresh food and HMR meals positively affected dietary life satisfaction through eating breakfast and regular eating. Fourthly, increased consumption of delivered food had a positive direct effect on dietary life satisfaction. Among sociodemographic variables, gender, education, occupation, and age were also significantly related to changes in dietary life satisfaction.
The purpose of this study was to investigate the influences of household income, education needs, private education expenses and expenditures of preparation for old age for mothers of school-aged children and to discover the causal relationships among these variables. The subjects in this study were gathered from among 393 mothers living in Daegu with school-aged children from 8 to 19 years old and with wage-earner husbands. The research tool was a questionnaires which addressed the general characteristics of the subjects, household income, the scale of education needs, the scale of private education expenditures, the scale of perceived burden of private education, and the scale of expenditures of preparation for old age. In order to analyze the study data, factor analysis, and regression analysis using SPSS were used, and structural path analysis using AMOS was used. The main results of this study were as follow: First, the greater the household income, the greater the education needs. Second, household income and education needs had no significant influences on private education expenditures. Third, education needs and private education expenditures turned out to have significant effects on the perceived burden of private education expenditures. Fourth, expenditures of preparation for old age among mothers of school-aged children was influenced by the education needs, private education expenditures and perceived burden of private education expenditures. The household income of mothers of school-aged children had no significant influence on private education expenditures. Finally, education needs, private education expenditures and perceived burden of private education expenditures for mothers of school-aged children had a direct effect on the expenditures of preparations for old age. On the other hand, in mediating education needs, household income of these mothers had an indirect effect on expenditures of preparations for old age. The perceived burden of private education expenditures turned out to have the biggest total effect on the preparations for old age of mothers with school-aged children.
This study compared one-child households' economic structures between those who determined not to have more children and those who have a birth plan. This study examined the demographic characteristics and economic variables such as income, consumption expenditures, assets. debt, and a subjective evaluation of future economic status. Especially, it compared the effects of socioeconomic variables on expenditures on a child between low-fertility and birth-planned households. From a questionnaire completed by a husband or wife of one-child households, 154 low-fertility households and 201 birth-planned households were obtained. A t-test, chi-square test, multiple regression analysis and a dummy variable interaction technique were used. The findings of this study are as follows: First, low-fertility households were older, had higher income, and had more educated, employed wives. Their marital duration was longer, and their child was older than those of birth-planned households. Second, low-fertility households had higher consumption expenditures than did birth-planned households. Especially, expenditures of apparel and shoes, health care, education, and entertainment were significantly higher for low-fertility households. Also, low-fertility households spent more than did birth-planned households on a child. However, low-fertility households had significantly more debt than did their counterparts, and their expectation level of future economic status were lower than that of birth-planned households. Third, the effects of socioeconomic variables on expenditures on a child were different between low-fertility and birth-planned households. Age, education level, husband's occupation, wife's employment status, income, net asset, and subjective evaluation of future economic status showed significant differences. Income elasticity of expenditure on a child was significantly higher for low-fertility households than their counterparts.
This study was conducted to investigate the time spent, activity coefficient and energy expenditure on 7 different types of activity. Total of 386 5th and 6th grade primary school boys and girls in Seoul participated in this study. The participants spent 8 hrs for rest, 4 hrs for out of school study, 3 hrs for leisure, 1 hr 45 mins. for hygiene, 1 hr for commute, and 15 mins. for house choir activity in the day of 6 class hours. The average activity coefficient of 1 day for boys and girls were 1.69 and 1.64, respectively. The TEEs were 2,382 kcal and 2,050 kcal for boys and girls, respectively. The energy cost for study related activity (in school and study activities) was 40% of the TEE, and for rest 20%, for commute 9%, and for hygiene 10% of the TEE. The energy cost for house choir was only about 2% of TEE. The 91.2% participant's EER was higher than the EER shown in the table of 2010 DRI for Koreans. When the participant's EER was compared with the energy allowance calculated by the method in 2000 RDA for Korean, 81.6% was in the range of ${\pm}5%$, and the correlation coefficients between the 2 values were 0.981 for boys and 0.978 for girls, which means high agreements.
BACKGROUND/OBJECTIVES: The purpose of this study was to assess the accuracy of a dietary reference intake (DRI) predictive equation for estimated energy requirements (EER) in female college tennis athletes and non-athlete students using doubly labeled water (DLW) as a reference method. MATERIALS/METHODS: Fifteen female college students, including eight tennis athletes and seven non-athlete subjects (aged between 19 to 24 years), were involved in the study. Subjects' total energy expenditure (TEE) was measured by the DLW method, and EER were calculated using the DRI predictive equation. The accuracy of this equation was assessed by comparing the EER calculated using the DRI predictive equation ($EER_{DRI}$) and TEE measured by the DLW method ($TEE_{DLW}$) based on calculation of percentage difference mean and percentage of accurate prediction. The agreement between the two methods was assessed by the Bland-Altman method. RESULTS: The percentage difference mean between the methods was -1.1% in athletes and 1.8% in non-athlete subjects, whereas the percentage of accurate prediction was 37.5% and 85.7%, respectively. In the case of athletic subjects, the DRI predictive equation showed a clear bias negatively proportional to the subjects' TEE. CONCLUSIONS: The results from this study suggest that the DRI predictive equation could be used to obtain EER in non-athlete female college students at a group level. However, this equation would be difficult to use in the case of athletes at the group and individual levels. The development of a new and more appropriate equation for the prediction of energy expenditure in athletes is proposed.
With the shift of cause of death from infection to chronic, the health expenditure has risen dramatically. To curb the increasing health expenditure, programs and campaigns to promote health were proposed and implemented. Most of them, however, were not successful in achieving satisfactory results. Customer Relationship Management has been gradually accepted as an innovative approach to health promotion. The objective of this research was to develop a Customer Relationship Management system for providing comprehensive health care services to the residents in the community. Detailed objectives were as follows: The first objective was the development of the CRM system for health promotion. The second objective was the satisfaction assessment for the health promotion program using the CRM system. The third was the proposal for the effective utilization of the CRM system. The development methodology of the CRM system was Rapid Warehouse Developing Method. As a CRM system equipment, a workstation with GIS of Windows 2000 was selected. SQL Server 2000 was used as a development tool and database. The subjects of study were diabetic mellitus patients, hypertension patients, and vaccin patients. The campaign channel of patients was an autocalling system. For the satisfaction assessment, a survey was performed. The main content of the survey was satisfaction level. The satisfaction level of the health promotion program using CRM system was 79.3%. In consideration of the above findings, we suggested ways of improving the Health Promotion Program by using CRM. The first was the efficient selection of the subjects of the Health Promotion Program. The second was the development for health promotion program using CRM system(life time health of individual etc).
The purpose of this study was to gain a better understanding of households with a negative cash flow. The Household Budget Survey conducted in 2000, 2005, and 2010 by the Bureau of Statistics in South Korea were used for this study. The households used in this study were divided into four groups according to their income levels; they were categorized the lowest, low, middle, and high income groups. This study made several findings regarding households with a negative/positive cash flow. Firstly, the demographic and economic characteristics were different between those who have a negative cash flow and those with a positive cash flow. A female household head, a household head age 65 and older, a household head with a lower educational attainment, an unemployed household head, and the presence of a child/children in schools were related with the household deficit. Secondly, the households with a positive cash flow had a higher income level compared to the households with a negative cash flow, while the households with a negative cash flow had a much higher consumption level compared to the households with a positive cash flow. Thirdly, the household deficit to total income ratio of the lowest income group was higher when compared to any other income group. Lastly, the multivariate statistics showed that households including a child/children in schools are more likely to be a household with a negative cash flow. Especially, the expenditures on education and transportation were related with the likelihood of a household deficit.
The purpose of this study was to analyze the factors that influence middle-aged people's retirement planning and financial preparation for old age. The data was derived from "the National Survey of Families 2015". The samples included 1,462 people from 40 to 64 years of age. The findings from the analysis showed that the level of retirement planning was significantly associated with gender, age, education level, employment status, monthly family income, monthly expenditure on spending to support parents, and perceived household economic condition. When the samples were divided by sex, the results showed that the perceived household economic condition was the most significant factor for both men and women's level of retirement planning. Age and education level were the significant factors for women's level of retirement planning but not for men's. Logistic regression was used to analyze whether middle-aged people made financial preparation for old age. For the whole sample, whether or not a person was a regular employee, monthly family income, monthly expenditure on supporting parents, perceived household economic condition, and retirement planning were significant variables in determining financial preparation. For men, whether or not a person was a regular employee, monthly family income, perceived household economic condition, and retirement planning were significant factors, for women whether or not a person was a regular employee, and retirement planning were the significant factors in determining financial preparation. The results implied that retirement planning is needed for middle-aged people to prepare for old age financially while the financial preparation should differ depending on sex.
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