• Nutrition Research and Practice
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• 제6권1호
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• pp.51-60
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• 2012

Weight-controlling can be supported by a proper prescription of energy intake. The individual energy requirement is usually determined through resting energy expenditure (REE) and physical activity. Because REE contributes to 60-70% of daily energy expenditure, the assessment of REE is very important. REE is often predicted using various equations, which are usually based on the body weight, height, age, gender, and so on. The aim of this study is to validate the published predictive equations for resting energy expenditure in 76 normal weight and 52 obese Korean children and adolescents in the 7-18 years old age group. The open-circuit indirect calorimetry using a ventilated hood system was used to measure REE. Sixteen REE predictive equations were included, which were based on weight and/or height of children and adolescents, or which were commonly used in clinical settings despite its use based on adults. The accuracy of the equations was evaluated on bias, RMSPE, and percentage of accurate prediction. The means of age and height were not significantly different among the groups. Weight and BMI were significantly higher in obese group (64.0 kg, $25.9kg/m^2$) than in the non-obese group (44.8 kg, $19.0kg/m^2$). For the obese group, the Molnar, Mifflin, Liu, and Harris-Benedict equations provided the accurate predictions of > 70% (87%, 79% 77%, and 73%, respectively). On the other hand, for non-obese group, only the Molnar equation had a high level of accuracy (bias of 0.6%, RMSPE of 90.4 kcal/d, and accurate prediction of 72%). The accurate prediction of the Schofield (W/WH), WHO (W/WH), and Henry (W/WH) equations was less than 60% for all groups. Our results showed that the Molnar equation appears to be the most accurate and precise for both the non-obese and the obese groups. This equation might be useful for clinical professionals when calculating energy needs in Korean children and adolescents.

• 가족자원경영과 정책
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• 제16권4호
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• pp.131-152
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• 2012

The aims of this study were to analyze middle-aged households' financial preparation for retirement. Specifically, this study surveyed the relation between human capital investment for children and the middle-aged households' financial preparation for retirement and investigated factors influencing financial preparation for retirement. Data were obtained from the 3rd Korean Retirement and Income Study (KReIS) in 2009, and a sample of 757 households was selected. The statistical methods were frequency, percentile, mean, standard deviation, ${\chi}^2$, t-test, Pearson's correlation coefficient, and logistic regression analysis. The findings of this study are as follows. First, the percentile of preparation for living costs for old age was 49.9% for the middle-aged households. In terms of the types of preparation for living costs for old age, the results showed 61.6% of personal preparation, 33.9% of pension system, and 1.3% for children and relatives. In relation to the adequacy of the preparations for living costs for old age, preparations made by 57.4% of the middle-aged households were inadequate. Observing the minimum living costs for old age and adequate living costs after retirement for single and couple, the minimum living costs of the middle-aged households was 1.46 million won for couple and 0.91 million won for single. The adequate living costs for old age was 2.07 million won for couple and 1.34 million won for single. Second, there were 757 households with total education expenditure. Of these, 208 incurred annual expenditure on public education, and the annual expenditure for public education was 7.28 million won. There were 170 households with annual expenditure for private education, and the annual expenditure for private education was 2.50 million won. 243 households of middle-aged households had annual expenditure for human capital investment, including both public and private education, with annual expenditure for human capital investment for children of 7.82 million won. Furthermore, in the human capital investment factor, there was a difference in the middle-aged households' financial preparation for retirement according to their annual expenditure for human capital investment including both public and private education. In addition, there was a difference in financial preparation for retirement based on their public education expenditure. Third, in the logistic regression model 1, which included human capital investment, the significant variables affecting the preparation for retirement of the middle-aged households were as follows : annual household income, total amount of annual household income, experience of inadequate living costs, existence of financial assets, total amount of annual household savings, financial independence, adequate living costs (for single) for old age, and human capital investment. In the logistic regression model 2, which included annual expenditure for public education and annual expenditure for private education, the significant variables affecting the preparation for retirement of the middle-aged households were as follows : annual household income, total amount of annual household income, experience of inadequate living costs, existence of financial assets, total amount of annual household savings, financial independence, adequate living costs (for single) for old age, and annual expenditure for public education.

• 가정과삶의질연구
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• 제21권1호
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• pp.49-60
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• 2003

The purpose of this study is to analyze expenditure on children's private, after-school education, perceptional need for private education, and budget planning pattern for the expenditure of education applying survey data, and to investigate current situation to Identify solving planning for digital age. taking on-line educational service system and internet financial planning for children's educational expenditure into account. Under the purposes, this study especially focused on the condition of on-line educational service system and the merits as well as problems of the system, the need for household financial planning for children's education, and the condition or nature of internet financial planning system, in terms of providing market information and of suggesting policy implications.

• 가족자원경영과 정책
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• 제7권1호
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• pp.135-152
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• 2003

This study examined which factors influence educational expenditure by family life cycle. Data for this study were from the 2001 Household Income and Expenditure Survey and consisted of a sample of 2,681 households. The results showed that the households having high school students had the highest educational expenditure and the households having middle school students had the highest ratio of educational expenditure to consumption expenditure. The education of household head, family type, the number of children, the age of the youngest child, and family income had significant effect on educational expenditure in all the stages of family life cycle. The results of this study will be useful for financial management of households and give suggestions for the government policy on education.

• 가족자원경영과 정책
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• 제22권1호
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• pp.99-118
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• 2018

This study examines household expenditure patterns for single-parent families to better understand the decision-making process and to consider the appropriateness of the decisions on monetary allocation. This study investigates the household expenditure patterns and the determinants of expenditure patterns for single-father families as compared to those for single-mother families. A series of analyses of the data, which was gathered from the 2015 Single-parent Family Survey on household expenditures, were conducted. The results show that there are differences in the household expenditure volumes and patterns between single-father families and single-mother families. Differences in the categories of expenditure and variations in the share that was allocated for each expenditure category in single-father families as compared to in single-mother families were both statistically significant. Disparities were found in seven categories of household expenditure between single-father families and single-mother families. The amount allocated from total expenditures for each expenditure category was also significantly different between single-father families and single-mother families in regards to clothing, home equipment, housing, water/light/heat costs, transportation, and telecommunication. The determinants of the total household expenditure for single-parent families were age, level of education, number of family members, public transfer, household income, assets, and debt.

• 가족자원경영과 정책
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• 제3권1호
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• pp.105-121
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• 1999

The major purpose of this study is to examine the effect of the extracurricular lesson expenses on the Burden of Household Expenditure. The data are collected from 537 housewives with a child aged 18(2nd grade in high school) in Seoul. The statistics used for the data analysis are frequency, percentage, crosstables, one way ANOVA, and multiple regression. The statistic softwear used for this study is SPSS. The Result on a base of empirical analyses follow: 1. Respondentg’s expenditure on extracurricular lesson fees is about 430,000 won per month, which is about 28% of the living cost. 2. There are four types of the methods preparing extracurricular lesson fees: ‘Frugal Type’, ‘Excess Type’, ‘Composit Type’, ‘Self-supportable Type’. 3. Region, the living cost, sex of children, net worth, and the mother’s education show statistically significant effect on the extracutticular lesson expenses. 4. The regression analyses incicate that Burden of Household Expenditure increased by 1.9 point according to 1% increase in expenditure on extracurridular lesson fees. The higher budget share of expenditure on extracurricular fees, the higher level of Burden of Household Expenditure.

• 대한가정학회지
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• 제45권2호
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• pp.77-90
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• 2007

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.

• 정보교육학회논문지
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• 제25권6호
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• pp.871-878
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• 2021

본 연구에서는 가구의 월평균 전체 사교육비와 소프트웨어 및 인공지능 관련 사교육비, 그리고 학업성취 간 관계를 분석하여 소프트웨어 교육의 양극화 실태를 조명하였다. 이를 위해 전국의 초등학생 자녀를 둔 학부모 2,780명을 대상으로 설문조사를 실시하여 자료를 수집하였으며 상관분석과 차이검증을 수행하였다. 본 연구의 결과는 다음과 같다. 첫째, 소프트웨어 교육 참여 여부에 따라 자녀의 학업성취도에는 통계적으로 유의미한 차이가 나타났다. 둘째, 자녀의 학업성취도가 높을수록 소프트웨어 사교육에 참여하는 비율도 현격히 증가하는 경향성을 확인하였다. 셋째, 총 사교육비와 소프트웨어 관련 사교육비는 유의미한 정적 상관이 있었다. 넷째, 소프트웨어 사교육비와 학업성취도 간에는 통계적으로 유의미하지는 않았으나 정적 상관이 존재하는 것으로 드러났다. 본 연구를 통하여 학부모는 공교육에서 제공하는 소프트웨어 교육이 충분하지 않은 탓에 사교육 참여와 그 지출 규모를 늘리고 있고, 가구소득에 따라 미래 인재로 성장하기 위한 주요 역량을 키우는 데에 격차가 존재한다는 문제가 있음을 확인하였다.

• 한국생활과학회지
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• 제16권2호
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• pp.315-331
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• 2007

The purpose of this study is to examine current situations about and factors related to expenditures of private education among pre-school children and to provide policy implications useful for future pre-school children education. The subjects of the study were parents of pre-school children under seven years of age, who lived in Seoul and Incheon area. The survey was conducted using parent questionnaire. The major findings of the study are: First, 86.8% of parents of pre-school children use private education and the average expenditure on it was 154, 446 won. Second, major factors determining their private education expenditure are educational level of parents, parents' job characteristics, household income, and region. Third, the most important reason for using private education among parents is to improve and excel in academic performance of their children. Forth, the higher the parents' expected returns from private education are, the higher the expenditure level of private education is. Fitth, the results of the logistic regressions showed that parents' attitudes toward private education was the most important factor in determining household economic burden associated with private education. The odds were 5 times greater for the parent group with strong desire for private education than for the parent group without it and 1.2 times greater for the parent group with high-expected returns from private education than the parent group without it. In conclusion, systematic, universal educational policies need to be developed to provide and support all the parents with pre-school children, given that their current economic burden is substantial. By providing such support, we can help parents focus on public education. This study examining current situations about and determining factors related to private education expenditures among pre-school children collected data limiting only Seoul and Inchoen area, therefore, future studies need to include data collected nationwide for generalizability of the findings. As well, development of more elaborated survey instruments and analytical methods would advance our understanding in the field.

• 대한가정학회지
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• 제35권3호
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• pp.287-305
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• 1997

The purpose of this study was to analyze a causal effect on the housewife's leisure activity participation, leisure expenditure and leisure life satisfaction. Data was collected 249 housewives in Pusan. Data were analysed using descriptive statistics, one-way Anova, multiple regression, Pearson's correlation and path analysis. The main findings of the research were as follows: First, there were significant differences in leisure activity participation according to socio-demographic and economic variables. Physical type showed significant differences when housewife was 30's and unemployed, size of family was 3 and 4, age of the lastborn child was under 6, occupation of husband was professionals and technicians, educational attainment of housewife was under highschool graduate, pattern of housing was collective, income was higher. There were significant differences that occupation of husband was professionals and technicians, educational attainment of housewife was over junior college graduate, pattern of housing was collective, income was higher in self-developing type. restful type showed significant differences when housewife was 40's, age of the lastborn child was under 13-18, educational attainment of housewife was under highschool graduate. There were significant differences that housewife was unemployed in home-oriented type. There were significant differences that housewife was 30's and unemployed, size of family was 4, age of the lastborn child was under 6, occupation of husband was market and sales worker, educational attainment of housewife was over junior college graduate, pattern of housing was collective in time-spending type. Second, there were significant differences in leisure time, leisure expenditure and leisure life satisfaction according to socio-demographic and economic variables. Leisure time showed significant differences when housewife was unemployed, age of the lastborn child was under 13-18, occupation of husband was service, educational attainment of housewife was under highschool graduate, income was higher. Leisure expenditure showed significant differences when housewife was 30's, size of family was under 3, age of the lastborn child was under 6, occupation of husband was senior officials and manager, educational attainment of housewife was over junior college graduate, pattern of housing was collective, income was over 5,000,000 won. There were significant differences that housewife was unemployed in leisure life satisfaction. Third, casual effect was path analysed according to path model. Employment and unemployment of housewife, income and occupation of husband (product & transport equipment operator) had an effect on phycial type. Age of housewife, employment and unemployment of housewife and occupation of husband (product & transport equipment operator) had an effect on children-concerned type. Age of housewife had an effect on social-concerned type. Education of husband, income, age of lastborn child and occupation of husband (professor and teacher) had an effect on self-developing type. Age of lastborn child, employment and unemployment of housewife and occupation of husband(product & transport equipment operator) had an effect on children-concerned type. Age of lastborn child and children number had an effect on religious-social type. Employment and unemployment of housewife had an effect on home-oriented type. Age of housewife, education of husband had an effect on time-spending type. Restful type, employment and unemployment of housewife, and occupation of husband(service) have an effect on leisure time. Income, leisure time, self-developing type, children concerned type and occupation of husband(senior officials and manager) had an effect on leisure expenditure. Leisure expenditure, self-developing type, employment and nemploymentof housewife, income had an effect on leisure life satisfaction.