• Journal of dental hygiene science
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• v.24 no.1
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• pp.1-8
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• 2024

Background: Oral frailty is defined as the functional decline of the oral function due to aging, and it is associated with frailty and chronic disease. Most of the frailty intervention is for adults aged 65 years and older. However, early intervention for preventive disorder is most important. The objective of this study was to identify the age at which oral frailty surpass the "normal" range. Methods: This cross-sectional study included 719 adults (aged 30~89 years) residing in Gangwon province in May 2023. Risk of oral frailty was assessed using criteria from The Korean Academy of Geriatric Dentistry including oral function such as swallowing and mastication, and frailty. Frailty was assessed using the Kihon Checklist. To determine when oral frailty surpass the "normal" status, statistical analysis including chi-squared tests and multiple logistic regression analysis were performed using R (ver. 4.3.1). Results: There were 388 (54.0%) individuals who had a "normal" status risk of oral frailty. The risk of oral frailty was higher in the 50~54 age group compared to the 30~34 age group (odds ratio [OR] 0.50, 95% confidence interval [CI] 0.28~0.91), after adjusting for gender, education, income, occupation, and frailty (OR 0.46, 95% CI 0.22~0.94). This means that from 50~54 years old, regardless of gender, education, income, occupation, or frailty condition, there is a distinction from the "normal" status. Conclusion: We found that intervention for oral frailty is needed starting from age 50 years. This is the stage where early indications of oral frailty become apparent. Early intervention for oral frailty can lead to a decrease in the prevalence of diseases and medical expenditure. Therefore, early intervention in middle-aged adults of oral frailty is necessary to improve the quality of life related to oral health.

• Journal of Korean Public Health Nursing
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• v.10 no.2
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• pp.15-36
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• 1996

It is clear that the women's participation in social activity is dramatically increased in civilian field as well as military profession. Because of the characteristics of military nursing service, there are many difficulties. Frequent move, medical insurance, baby care. and the education are typical forms of difficulties for nurse officers in the military. The purpose of this research is to contribute to the perfect execution of nursing service. guarantee the active attitude for research and improve the combat strength by solving those private and economic problems. The method of research was analysis of question survey and the review of related literatures. The subject of research was 300 active nurse officers who work at the Army Hospitals. The survey was conducted 14 days from Oct 15 to Oct 28. The collected data was processed by computer using SPSS(Statistical Package of Social Science). Frequencies and percentages were used to examine the demographic characteristics of subject, and T-test was also used in the case of necessity. The result showed as follows; As the general characteristics of subject group; 28.7 years of average age, 73.6 months of service period, 63.4% of married. In regard of specialty; General 57.7%. Intensive Care 12.7% and Psychiatries 8.8%. The dissatisfactory factors about military welfare system were the difficulties in children education (36.9%). disadvantages on the civil medical insurance system (27.3%), and little chance of self education and development (21.5%). The problems in performing their duties were shown as dwelling instability due to frequent move (67.7%), and bring up children (14.2%). The reasons for resigning their job were shown as the instability of living status (64.2%), bring up children (18.8%) and dissatisfaction to the service (11.2%). The residential status was shown that military offered houses (45.2%), rental houses (29.3%) and own houses(14.64). The average numbers of moving residencies were; 3-4 time(34.6%), less than 2 times(33.1%), and 5-7 times(21.5%). Higher than 94.7% of the subject group spent more than 50.000 Won. In regard of education, they wanted to attend graduate school with their own expense(26.2%), computer science(20%) and Office Job Training(20%). The ways of taking care of children were mother-in-low(49.6%), mother(14.6%), and others(25%). The average expenditure per month for children were 20-30 hundred Won(44.2%), 10-20 hundred Won(25%) and 30-40 hundred Won(22.3%). The places of children care selected were public or occupational care center(56.2%), religious organization(20.8%), and other center managed by social organizations(10.4%). The result of survey for general welfare of nurse officers are as follows; By and large they seem to be satisfied with their job. however. there are some dissatisfactory factors. They are children care facilties, promotion. income. welfare facilities. disadvantage in medical insurance and civil hospitals. house purchase. unfair chances in specialty training. influence on promotion by educational status. and insufficient role for their children and husbands. As conclusion. the recommendations for improving nursing service are as follows; 1. Children care center managed by occupation 2. Dormitory system for children by military personnel 3. Equal opportunities in education according to ability 4. Reasonable moving price according to the distance and scope of family and extra allowance

• Journal of Korean Academy of Nursing Administration
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• v.5 no.2
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• pp.297-316
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• 1999

The purpose of this study is searching for hemodialysis nursing bahaviors by hemodialysis room nurses and analyzing them. Then, it estimates hemodialysis nursing costs and obtains basic data for development of proper nursing costs. First, it searched for hemodialysis nursing behaviors at a tertiary hospital hemodialysis room in Seoul and classified them. After the content validity was verified by 6 experts, Tool of hemodialysis nursing behaviors was developed. patients who recived hemodialysis were classified by dialysis patient classification tool. The searcher observed hemodialysis nursing behaviors applied to classified patients per 5 minutes. Then hemodialysis nursing hours spent to classified patients were calculated respectively. The direct expenditures and indirect expenditures were estimated. Ultimately, hemodialysis nursing costs were estimated. The results of the study were as follows ; 1. hemodialysis nursing behaviors were grouped by the same knowledge and skills. then, the content validity of them was verified by evaluation tool of nursing intervention classification by expert groups. They consisted of 9 hemodialysis activity domains and 71 hemodialysis nursing behaviors. The predialysis activity domain included 15 nursing behaviors, the activity domain of start-dialysis included 12 nursing behaviors, the activity domain of during- dialysis included 9 nursing behaviors, the activity domain of finish-dialysis included 5 nursing behaviors, the activity domain of after-dialysis included 5 nursing behaviors, the nursing documentation & undertaking and transfering included 5 nursing behaviors, the supply, drug, equipment & environment management activity domain included 7 nursing behaviors, the patient emotional support & education activity domain included 4 nursing behaviors, the emergency activity domain included 9 nursing behaviors. 2. The acute hemodialysis nursing hours were 106.42 minutes per a dialysis and the chroni hemodialysis nursing hours were 72.23 minutes per a dialysis. 3. The direct expenditure was 11.971 won per hour and indirect expenditure was 288won. 4. Finally, the cost of acute hemodialysis was 21,745 won and that of chronic hemodialysis was 14,759 won. By search of hemodialysis nursing behaviors, they will be used as hemodialysis nursing care standard and will be tended toward high qualitative care. Estimation of hemodialysis nursing costs will be used as fundamental data for development of proper nursing costs.

• Management & Information Systems Review
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• v.28 no.3
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• pp.99-115
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• 2009

This research analyzed determining factors of expenditure for processing fee by targeting trade show participants under a microeconomic approach in order to analyze determining factors of the participations of trade shows. As a result, with regard to the participation fees, income and the level of education seemed to be the socioeconomic factors that positively affected visitors in paying admission fees: and age and gender were negative elements. With regard to the participating businesses, the sales and the corporate history of the businesses were the positive elements to their willingness to pay the participation fees: however, the ratio of male and female personnel turned out to be a negative element in incurring the participation fees. The purchase of ticket was a positive mode-of participation factor to the visitors: however, distance tended to be a negative element for the visitors. For the participating businesses, the number of participation tended to be a positive element: however, distance was a negative one. The positive satisfaction factors that affected visitors' willingness to pay the participation fees included exhibited items, location, and schedules for events of the convention: for the participating businesses, the actual sales at the convention, the effects of advertisement and the level of satisfaction for location tended to play positive parts.

• Korean Journal of Community Nutrition
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• v.21 no.2
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• pp.178-189
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• 2016

Objectives: The objectives of the study were to assess body composition, physical activity level (PAL), basal metabolic rate (BMR), and daily energy expenditure (DEE) and to examine associations between PAL and body composition, BMR, and DEE of elderly in Busan. Methods: A cross-sectional study was conducted among 226 elderly aged 65-93 years. Body composition was measured by Inbody 720. PAL was calculated by daily activity diary. BMR was calculated by Harris-Benedict (H-B) formula, Dietary Reference Intakes (DRI) formula, and Inbody 720 measurement. DEE was calculated by H-B formula, DRI formula, Inbody 720 measurement, and estimated energy requirements (EER) formula. Results: The mean fat free mass (FFM) in elderly men was significantly higher than that in elderly women (p<0.001). The mean percent body fat and fat mass (FM) in elderly women were significantly greater than those in elderly men (p<0.001, p<0.001). The mean PAL in elderly men (1.59) was significantly higher than that in elderly women (1.53) (p<0.001). The mean DEEs calculated by 3 methods except for H-B formula in elderly men were higher than EER for elderly men (2000kcal). The mean DEEs calculated by 4 different methods in elderly women were higher than EER for elderly women (1600kcal). Age showed significantly negative correlations with height (p<0.001, p<0.001), FFM (p<0.001, p<0.001), BMRs calculated by H-B formula (p<0.001, p<0.001), DRI formula (p<0.001, p<0.001) and Inbody 720 measurement (p<0.05 p<0.01) and DEEs calculated by H-B formula (p<0.001, p<0.001), DRI formula (p<0.001, p<0.001), Inbody 720 measurement (p<0.05, p<0.05), and EER formula (p<0.001, p<0.001) in elderly men and elderly women. PAL showed significantly positive correlations with FFM (p<0.05), BMR by Inbody 720 measurement (p<0.05) in elderly men and negative correlations with FM (p<0.05) in elderly women. Conclusions: Based on the results, PAL was associated with greater FFM in elderly men and lesser FM in elderly women. Therefore, nutritional education to increase physical activity for health promotion in late life is needed in the elderly.

• Korean Journal of Social Welfare
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• v.56 no.2
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• pp.167-194
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• 2004

This paper examine the gender-poverty gap and the feminization of poverty in Korea with using data from the National Survey Household Income & Expenditure(1996, 2000) and the Urban Survey Household Income & Expenditure(1996-2002) by Korea National Statistical Office. The poverty rate in 2000 was 16.9 percent for female-head families and 7.9 percent for male-head families, which means that female-head families were 2.6 times more likely to be poor than male-head families. With examining impact of economic crisis in 1998 on gender-poverty gap, it show that both the poverty rate of female-head and male-head increase radically in peak of economic crisis, while, in the stage of recovering economy, the poverty rate of male-head families recovered mostly the level before economic crisis, but that of female-head families recover only the 2/3 level before and the 1/3 remain still under poverty. Thus gender-poverty gap appeared bigger during passing through economic crisis. With analyzing on influence factors of poverty, it appear that poverty is influenced by gender itself as well as education level, working condition which is reflected substantially characteristics of gender. Such an analysis results mean that the considering gender dimension is necessary to resolve poverty fundamentally because gender is a point intersection among family, labour market, and social security. Therefore it appears certain that to develop and adopt of women-friendly social policy is effective approach, which could resolve poverty and social problems related to social rights.

• Journal of Korea Technology Innovation Society
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• v.15 no.1
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• pp.47-75
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• 2012

Basic research have contributed to technological growth or economic growth in U.S. Specially recent studies say that universities also contribute to economic development through scientific activities like science research, education, technology transfers. But we can not assure whether scientific knowledge was connected to real technology or economic performance, and it is difficult to figure out the effect of scientific output. "What is the exact performance of scientific knowledge?" It is still obscure. In this context, this paper analyzes characteristics of the linkage of science and technology. Data are U.S. R&D expenditure, scientific articles, citation of articles in U.S. patents by fields and sectors. As a result, university sector has the most weight of the linkage of science and technology. But, in relative connection rate analysis, industrial sector's is stronger than any other sectors. In the field analysis, linkage of science and technology is very strong in Chemistry, Physics, Biological sciences fields. And recently the linkage was increased in the fields of Computer science, Agricultural science, Engineering. Finally, this paper supports funding policy or estimation policy of government to product of scientific knowledge. University sector is still important because it has the most weight of the linkage. Scientific knowledge of industrial sector is also important. The connection rate of industrial science is the strongest in all sectors. And this research classify the R&D type by science fields. Considering the differences of science fields is needed to product science knowledge effectively.

• Journal of Korean Society of Transportation
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• v.30 no.2
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• pp.7-20
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• 2012

The objective of this paper is to construct pseudo-panel data set and estimate price and income elasticities of car travel demand, using 1995-2007 household income and expenditure survey data, in order to provide quantitative information for analyzing related policy effects in the transport sector. We categorized household survey data into 14 cohorts based on the birth year of the household head. As the result, a total of 133 pseudo-panel data sets was created for estimating price and income elasticities of car travel demand. Especially, price and income elasticities of car travel demand were separately estimated both short-term and long-term. We analyzed the panel model considering fixed effect within cohorts, using explanatory variables such as previous year's fuel consumption, real household income after tax, education level of the household head, the number of children under five, and the share of household type averaged by cohorts. As results, the short-term and long-term price elasticities of car travel demand were calculated as 0.2974-0.4280 and 0.4087-0.6275, respectively. Similarly, the short-term and long-term income elasticities were calculated as 0.3364-0.6281 and 0.7098, respectively.

• Journal of Preventive Medicine and Public Health
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• v.29 no.4 s.55
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• pp.831-842
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• 1996

Demand for high quality medical care has recently been increasing in step with high level of income and education. Patients prefer the use of large general hospitals to small community hospitals. Large hospitals, usually located at urban area, expand their capacities to cope with the increasing demand, therefore, they easily secure revenue necessary for growth and development of hospitals. However, small community hospitals are facing with serious financial difficulties caused from the reduction of patients in one hand and the inflation of cost in another. If small rural hospitals were closed, the closure would have negative impacts on local economies in addition to the decrease in access to medical care. Community leaders should have an insight on the contribution of community hospitals to local economies. They could make a rational decision on the hospital closure only with the understanding of hospital's contribution to the community. This study is designed to develop an economic model to estimate the contribution of rural hospital to local economies, and also to apply this model with a specific hospital. The contribution of a hospital to local economies consists of two elements, direct effect and multiplier effects. The direct impacts include hospital's local purchasing power, employee's local purchasing power, and the consumption of patients coming from outside the community. The direct impact induces multiplication effect in the local economy. The seed money invested to other industries grows through economic activities in the region. This study estimated the direct effect with the data of expenditure of the case hospital. The total effect was calculated by multiplied the direct effect with a multiplier. The multiplier was drown from the ratio of marginal propensity of income and expenditure. Beside the estimation of the total impacts, the economic effect from the external resources was also analyzed by the use of the ratio of patients coming outside the region. The results are as follows. 1. The direct economic contribution of the hospital to the local economy is 1,104 million won. 2. The value of multiplier in the region is 2.976. 3. The total economic effect is 3,286 million won, and the multiplication effect is 2,182 million won. 4. The economic contribution from the external resources is 245 million won which is 7.5% of the total economic effect.

• Nutrition Research and Practice
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• v.16 no.5
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• pp.646-657
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• 2022

BACKGROUND/OBJECTIVES: The doubly labeled water (DLW) method is the gold standard for estimating total energy expenditure (TEE) and is also useful for verifying the validities of dietary evaluation tools. In this study, we compared the accuracy of total energy intakes (TEI) estimated by the 24-h diet recall method with TEE obtained using the doubly labeled water method. SUBJECTS/METHODS: This study involved 71 subjects aged 20-49 yrs. Over a 14-day period, three 24-h diet recalls per subject (2 weekdays and 1 weekend day) were used to estimate energy intakes, while TEE was measured using the DLW method. The paired t-test was used to determine the significance of differences between TEI and TEE results, and the accuracy of the 24-h recall method was determined by accuracy predictions percentage, root mean square error, and bias. RESULTS: Average study subject age was 33.4 ± 8.6 yrs. The association between TEI and TEE was positive and significant (r = 0.463, P < 0.001), and the difference between TEI (2,084.3 ± 684.2 kcal/day) and TEE (2,401.7 ± 480.3 kcal/day) was also significant (P < 0.001). In all study subjects, mean TEI was 12.0% (307.5 ± 629.3 kcal/day) less than mean TEE, and 12.2% (349.4 ± 632.5 kcal/day) less in men and 11.8% (266.7 ± 632.5 kcal/day) less in women. Rates of TEI underprediction for all study subjects, men, and women, were 60.5%, 51.4%, and 66.7%, respectively. CONCLUSIONS: This study shows that 24-h diet recall underreports energy intakes. More research is needed to corroborate our findings and evaluate the accuracy of 24-h recall with respect to additional demographics.