The purpose of this study was to examine the effect of various exercise intensity on Resting Metabolic Rate (RMR), excess post exercise energy expenditure (EPEE), and thyroid hormonal changes in trained (TR) and untrained (UT) people. The subject of the present study were divided into two groups and four periods: trained (TR; n=6) and untrained (UT; n=6) group. And the periods were divided as follows; Resting (R), Maximal (M), High intensity (H), and Low intensity (L). The percent body fat and RMR of all subjects were measured at every periods. The RMR was measured early in the morning following a 12-hour fast using MMX3B gas analyzer and blood sample were collected from the anticubital vein to investigate thyroid hormonal (T3, T4, Free T3, Free T4, & TSH) changes. All the RMR values were expressed as absolute value/BSA $(kcal/d/m^2)$. And We also analyzed mean energy expenditure for 30 minutes during and after different intensity exercise. There was significant difference in RMR among different intensity of exercise. in TR (p < .05) not in the UT group. however, there was no significant different percent body fat in TR and in UT group. In the energy expenditure, there was significant different between TR and UT in HEE (high intensity exercise energy expenditure), LEE (low intensity exercise energy expenditure), HEEPE (high intensity exercise energy expenditure post exercise) & LEEPE (low intensity exercise expenditure post exercise). In the hormonal level, there was significant different in T4 level in the TR group at H period and in T4, Free T3, & Free T4 levels in TR group at L period, however there was no significant different in the UT group. The present cross-sectional study was design to investigate the relationship between exercise intensity and RMR. The focus of this investigation was to compare RMR in aerobically trained (TR) and untrained (VI). The relationship among RMR, exercise intensity and percent body fat would best be investigated using MMX3B and body composition analyzer. Each subject completed measurement of percent body fat, RMR, hormone in the period of maximal oxygen uptake exercise (M), high intensity exercise (H), and low intensity exercise (L). From the results, Low intensity of exercise (L), there was a trend for an increased RMR (kcal/day) in the TR not for the UT. This is best explained not by the reduced percent body fat but by the highly induced energy expenditure (during exercise and post exercise energy expenditure) and increased T4, Free T3, and Free T4 hormonal levels in the low intensity exercise for the TR group.
Lee, Jung Chan;Park, Jae San;Kim, Han Nah;Kim, Kye Hyun
Korea Journal of Hospital Management
/
v.19
no.4
/
pp.57-68
/
2014
Since the introduction of National Health Insurance(NHI) in 1977, it has grown rapidly and contributed to extend patient's access to the health care services. However, limited coverage for health care services of NHI has been ongoing challenge and private health insurance(PHI) has been rising as an alternative source of enhancing coverage and saving out-of-pocket(OOP) expenditure for patients. In this study, after controlling for socio-demographic, economic, health related variables, we identified the patients' healthcare utilization and subsequent OOP expenditure depending on their PHI enrollment and their enrollment types(fixed benefit, indemnity, fixed benefit plus indemnity). Data were collected from the 2010 Korean Health Panel. The unit of analysis was a member of household(n=13,324). Of the 13,324 cases, 70.7% of patients held PHI, in detail, fixed benefit(47.0%), indemnity(3.6%), fixed benefit plus indemnity(20.1%). Major findings showd that patients who enrolled in PHI used more outpatient services(outpatient visit, number of physician visit, number of examination) and spent more OOP expenditure than non-PHI patients. There were also differences of healthcare utilization and OOP expenditure among the types of PHI. In addition, PHI patients used more inpatient services(inpatient use, number of hospitalization, LOS), but there was no significant difference between PHI and non-PHI patients with regard to the OOP expenditure. Thus, we could not find any distinct relationship between the types of PHI and patients' tertiary hospital use. Policy-makers should need careful political deliberation for monitoring the effect of PHI on health care utilization and subsequent expenditure not only to improve patients' coverage but also to save their OOP expenditures.
The purpose of this study was to evaluate the energy intake and energy expenditure of obese children. The body weight and height were measured, and the daily energy intake and activity pattern assessed for one day, using the 24 hour recall method and interviews in 83 elementary school children (59 boys and 24 girls). The average age, height, weight, ideal body weight and obesity index in boys and girls were 11.8 years, 144.8 cm, 54.2 kg, 39.9 kg and 35.9% and 11.5 years, 140.8 cm, 48.9 kg, 36.9 kg and 33.7%, respectively. The mean daily energy intakes of boys and girls were 1,670.5 and 1,656.5 kcal; these being 76.4 and 88.5% of estimated energy requirement for Koreans, respectively. The energy intake ratio from carbohydrates, proteins and fats in boys and girls were 61.5:14.7:23.6 and 62.0:14.7:23.7, respectively. The resting energy expenditure, as estimated by the Harris-Benedict, WHO/NAO/FAO and Korean DRI formulae in boys and girls were 1,452.7, 1,239.2 and 1,629.2 kcal and 1,323.9, 1,156.0 and 1,252.4 kcal, respectively. The activity coefficient for both the boys and girls was 1.39. The daily energy expenditure of boys (1,990.7 kcal) was significantly higher than that of girls (1712.1 kcal). No significant correlations were found between the obesity index, energy intake and energy expenditure. These results suggested that a nutrition and exercise program is required to increase the energy expenditure of elementary school children. Further research will be needed to assess multiple dietary factors and dove]lop a standard method for assessing the energy expenditure of obese children.
The purpose of this paper is to analyze empirically the tendency of household consumption expenditure according to the change of social and economical condition, and the factor which influences consumption expenditure of urban household. The data used in analysis are time-series. The data are statistic form Urban Household Economy Survey published by the Economic Planning Board, dating form the first quarter of 1970 to the fourth quarter of 1989. The income of household and consumption expenditure materials were deflated as consumer price index to exclude the influence of prices and the influence of household composition are considered to deflated as the size of the household under assumption of homogeneity. The consumption expenditure items were categorized to 12 relatively large range items. The time-series data were analyzed by using the Two Stage Least Squares and the Ordinary Least Squares. The following is the result of analysis. 1) Rather than the income increase of previous years. the average income increase for two years influences more significantly on consumption expenditure of household. In the case of influence on consumption expenditure for each item by increase in disposable income, such categories as furniture and utensils. clothing and footwear, housing, medical care, culture and recreation, and transportation and communication have significant influence. 2) Among consumption expenditure categories, the increasing factors were furniture and utensils, and clothing and footwear. And the decreasing factors were housing, medical care, culture and recreation ,and transportation and communication. The relative prices, however, had significant influence on categories such as housing, furniture and utensils, medical care , culture and recreation, and transportation and communication and all of them were the decreation factors. 3) Among with changes of social and economical conditions, miscellaneous showed the highest increase in marginal propensity to consume and foods was the lowest. Also culture and recreation and housing brought up a great change of the income elasticity of demand.
This study tried to find out the level of national health expenditure and associated factors in the OECD countries and then to derive lessons for Korea's health financing based on the cross-national comparison. As a result, Korea's health expenditure in 2010(7.1% of GDP) accounted for 74.7 percent of the OECD average and ranked as countries to spend less on health. At the same time, the socio-economic indicators such as GDP per capita, elderly population ratio and the total tax revenue to GDP also remained between 72 ~ 82 percent of the OECD average. The public share of health financing(58.2%) was relatively lower than those of other countries. However the health expenditure and the public share have grown 1.9 ~ 2.4 times higher than the OECD average over the past decade. According to the quantitative analysis, countries with relatively high income and elderly population turned out to have high health expenditure. Whereas, an inverse relationship was found between the total health expenditure and the public funding. It was estimated that the value of national health expenditure to GDP decreases 0.083 when the rate of public funding increases 1 percent point. Further, the share of public funding was affected positively by the total tax burden. Based on these findings, this study suggests that the sustainable spending on health and alleviating households' direct burden could be ensured by enhancing the share of public funding along with adjusting the tax burden of the people.
This paper is to explore the relationship between the San-Nong expenditure and Quality of life of rural residents in China for the period of 1978-2013, using the unit root test, the Granger causality test, the cointegration test, VAR model, and VECM. The results of a study on the relationship between two variables show that an obvious mutually causal relationship exits between the financial expenditure for San-Nong(san) and gross output value of agriculture, forestry, animal husbandry and fishery(apro) in China. But the case of per capita ploor space of newly built residential buildings in rural area(rho) and per capita consumption expenditure of rural households(rli) show that the financial expenditure for San-Nong(san) press for improvement in the quality of life of rural residence, while rho and rli have not yet apparent effect to san. On the other hand, It showed that the financial expenditure for San-Nong(san) and the number of medical personnel(prdo) do not have a causal relationship with each other. Therefore, the government needs to find ways for a variety of San-Nong expenditure to improve the quality of life of rural residents.
This study examined the determinants of urban households' expenditures on alcoholic beverages, using double-hurdle models to distinguish between the decision to purchase (purchase decision) and the decision of how much to consume (expenditure decision). Data for this study were drawn from the 2000 Korean Household Income and Expenditure Survey. Households were likely to purchase alcoholic beverages with increasing of household income, tobacco expenditures, and household size. The age, sex, marital status, occupation, education level, type of house ownership, residing city were significantly related to the purchase decisions. Among those households which drink, as household income and tobacco expenditures increase, the age, sex (male), marital status (married), and education level of a household-head, house ownership, residing city (Seoul) were positively related to and the presence of young children were negatively related to the expenditure level of alcoholic beverages.
The purpose of the study is to examine the effects of household characteristics on housing expenditure. The data from the National Survey of Family Income and Expenditure 1996 were used for the analysis of this study, and the final sample included 12,323 households. It was found that total housing expenditure was significantly different according to the tenure type, household income, household size, age, occupation and education of the head, or location of housing. The significantly explanatory variables in the model of total housing expenditure were owner and yearly-renter dummy, household income and the household income squared, mortgage-off dummy, Seoul and metropolitan city dummy, and employed-wife dummy.
This study has investigated the degree of similarities and/or differences of consumption expenditure styles among the households with different occupation. Two types of analysis were performed. One was comparative analysis which used to identify the changes of consumption expenditure styles among different occupation classes using time-series data of 1977-1996 Korean Urban Household Expenditure Survey and Rural Household Economy Survey. The other was multivariate analysis to investigate the effects of occupation on consumption expenditure styles with 1551 sample household data from 1996 Korean Urban Household Expenditure Survey. The results showed that the differences in consumption styles among different occupation classes including farmers are diminished during last two decades while there still exist some degree of differences in consumption styles. After controlling other socio-economic factors it is found that occupation is a determinant of consumption patterns of urban w ge earners especially consumption for clothing and health items.
Korea is one of the fastest aging country in the world. The increase in health expenditure is an inevitable problem in an aging country. We examined trend of benefit expenditure in National Health Insurance (NHI) by age group during 2001 to 2016. The benefit expenditure of NHI was 13.0 trillion won (2001) and 48.7 trillion won (2016); that is 3.76 times to 2001. This rapid increase was mostly due to people aged 65 and over. Proportion of beneficiaries aged 65 and over was 6.9% (2001) and 13.7% (2016), benefit expenditure per capita aged 65 and over was 279 thousand won (2001) and 960 thousand won (2016), and utilization days per capita aged 65 and over 21.44 (2001) and 30.23 (2016). This phenomenon was more pronounced in 75 or 85 aged and over. To contain the health costs for older people, the NHI system should be reformed.
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