Objectives : The purpose of this study was to examine the stressors and stress-adaptation patterns of students preparing for the national dental hygiene certification examination. Methods : The subjects in this study were dental hygiene juniors in four selected colleges located in the metropolitan area. After a survey was conducted, the collected data were analyzed. Results : 1. Concerning motivation of choosing the department of dental hygiene, the largest group that accounted for 72.2 percent chose it due to employment prospects. As to satisfaction level with the department, 40.4 percent were satisfied. In relation to employment prospects, 54.1 percent thought the prospects were bright. 2. They got a mean of 3.23 in stressors. To be specific, they felt the most stress due to test anxiety(3.70), followed by leisure insufficiency (3.21), the uncertainty of the future(3.18) and parental pressure(2.64). 3. They got a mean of 2.02 in stress-adaptation method. They got 2.31 and 1.72 in long-term and short-term adaptation respectively, which showed that long-term stress adaptation method were more prevailing than short-term ones. 4. As for the relationship of the stressors, there was positive correlation among all the test anxiety, future uncertainty, leisure insufficiency and parental pressure, and their correlation was statistically significant(p<0.000). 5. Regarding connections between general characteristics and the stressors, whether they spent two years or more for college admission, satisfaction level with the dental hygiene department, employment prospects and health status made significant differences to the stressors (p<0.05), and there were significant gaps in adaptation patterns according to academic standing, satisfaction level with the department and health state(p<0.05). Conclusions : The dental hygiene students were under great pressure since they had to prepare for the national dental hygiene certification examination to become a certified dental hygienist, one of professional health care workers. Therefore stress counseling programs and stress-coping programs should be developed to relieve the stress of dental hygiene students who are going to take the national dental hygiene certification examination. And they should be assisted to stay away from stress and to handle their stress in a more active manner.
Park, Moonsoo;Chong, Hogun;Koh, Daeyoung;Lee, Kyung-Hee
Journal of the Korea Academia-Industrial cooperation Society
/
v.15
no.9
/
pp.5564-5577
/
2014
This study examined how the differences in household characteristics influence consumer expenditure patterns. The Price-Scaling AIDS model with household income and expenditure survey data were used for the analysis. The results showed that the income elasticity of the service items is greater than non-service items, indicating an increase in higher demand of service items with the same increase in household income. The household expenditure patterns vary according to the commodities, holding age and income level. The so-called traditional pattern, which emphasizes spending for non-service items, changed to the one with a higher expenditure ratio for service items. Such a change in household expenditure patterns naturally derives the expansion of the relevant service market; hence, the growth of the related service industry. This highlights the need to formulate an appropriate response from the supply side that deals with the changes in the service market.
Journal of Agricultural Extension & Community Development
/
v.23
no.2
/
pp.135-144
/
2016
This paper estimated how demographic characteristics, food selection preferences, daily physical activities, and food purchasing patterns of consumers affect the consumer choice to buy coffee and tea by analyzing the Consumer Panel data in 2014 using Multinomial logit model. The results are summarized as follows. First, factors such as age, income, employment status, and educational level were found to be statistically significant upon the impact analysis of consumers' demographic characteristics. Second, the study showed that the first group of consumers drinking less coffee and tea had the highest interest in health, followed by the third group drinking less coffee and more tea, the second group more coffee and less tea, and the fourth group more coffee and tea. In addition, it was also found that the fourth group's pattern to purchase more coffee and tea could be explained by consumers' food consumption patterns.
Journal of Korean Institute of Industrial Engineers
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v.42
no.2
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pp.96-111
/
2016
Effort to reduce energy consumptions or CO2 emissions is global trend. To follow this trend, spatial studies related to characteristics affecting energy consumptions or CO2 emissions have been conducted, but only with the focus on spatial dependence, not on spatial heterogeneity. The aim of this study is to investigate spatial heterogeneity patterns of CO2 emission based on socio-economic factors, land-use characteristics and traffic infrastructure of Seoul city. Geographically Weighted Regression (GWR) analysis was performed with 423 administrative district data in Seoul. The results suggest that population and employment densities, road density and railway length in most districts are found to have positive impact on the CO2 emissions. Residential and green area densities also have the highest positive impact on CO2 emissions in most districts of Gangnam-gu. The resulting model can be used to identify the spatial patterns of CO2 emissions at district level in Seoul. Eventually it can contribute to local energy policy and planning of metropolitan area.
Kim, Kwi-Gon;Kim, Myung-Jin;Sung, Hyun-Chan;Lee, Ho-Jin
Journal of Korean Society for Atmospheric Environment
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v.4
no.1
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pp.45-57
/
1988
This is a close relationship between energy consumption and the way in which we develop and manage our regions. This study has estimated and compared energy requirements for the journey to work, resulting from alternative population and employment growth patterns in a rural-urban regional settlement of Korea. The broad scope of work was as follows: i) Select the study area ii) Formulate alternative growth patterns iii) Develop the Hansen and double-constrained gravity model iv) Application of Vogel's approximation method and the developed Hansen and gravity model to the case study area. v) Analyze the relationship between spatial structure, transport energy-requirements and environmental pollution. At issue here is the trade-off between air pollution averages and variations. Policies concentrating manufacturing industry and other regional facilities, for instance, may indeed reduce average pollution levels at the benefit of less-car miles, thus, reducing auto pollution, in the region, but increase local pollution peaks.
Journal of the Korean Regional Science Association
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v.9
no.1
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pp.65-78
/
1993
In this study, the significant and enduring concentration of federal R&D spending in metro-scale clusters across the nation is treated as evidence of the operation of a distinct industrial infrastructure defined by the ability of R&D performers to attract external funding and pursue the sophisticated project work demanded. It follows, then, that the agglomerative potential of these R&D concentrations -- performers and their support infrastructures -- requires a search for economic impacts guided by a different stimulative effects attributable to federal R&D spending may be that substantial subnational economic impacts are routinely obscured and diluted by research designs that seek to discover impacts either at the level of nation-scale economic aggregates or on firms or specific industries organized spatially. Therefore, this study proceeds by seeking to link the locational clustering of federal contract R&D spending to more localized economic impacts. It tests a series of models(X-IV) designed to trace federal contract R&D spending flows to economic impacts registered at the level of metro-regional economies. By shifting the focus from funding sources to recipient types and then to sector-specific impacts, the patterns of consistent results become increasingly compelling. In general, these results indicated that federal R&D spending does indeed nurture the development of an important nation-spanning advanced industrial production and R&D infrastructure anchored primarily by two dozed or so metro-regions. However, dominated as it is by a strong defense-industrial orientation, federal contract R&D spending would appear to constitute a relatively inefficient national economic development policy, at least as registered on conventional indicators. Federal contract R&D destined for the support of nondefense/civilian(Model I), nonprofit(Model II), and educational/research(Mode III) R&D agendas is associated with substantially greater regional employment and income impacts than is R&D funding disbursed by the Department of Defense. While federal R&D support from DOD(Model I) and for-profit(Model II) and industrial performer(Model III) contract R&D agendas are associated with positive regional economic impacts, they are substantially smaller than those associated with performers operating outside the defense industrial base. Moreover, evidence that the large-business sector mediates a small business sector(Model VI) justifies closer scrutiny of the relative contribution to economic growth and development made by these two sectors, as well as of the primacy typically accorded employment change as a conventional economic performance indicator. Ultimately, those regions receiving federal R&D spending have experienced measurable employment and income gains as a result. However, whether or not those gains could be improved by changing the composition -- and therefore the primary missions -- of federal R&D spending cannot be decided by merely citing evidence of its economic impacts of the kind reported here. Rather, that decision turns on a prior public choice relating to the trade-offs deemed acceptable between conventional employment and income gains, the strength of a nation's industrial base not reflected in such indicators, and the reigning conception of what constitutes national security -- military might or a competitive civilian economy.
The main purpose of this paper is to examine selectivity and rasons for move of internal migrants in Korea. There have only been a few studies available on the issues of selectivity and reasons for move of internal migration in Korea, mainly due to the lack of appropriate data. The main source of data for this analysis come from the raw data set of the 1997 Special Migration Survey conducted by the National Statistical Office. Analysis of selectivity of those who moved across the provincial boundary revealed that females, young adults, singles in their marital status and more educated are more likely to move. Among various reasons for move, employment related reason is the most important for all migration streams. But with different migration streams, diverse patterns are emerged. For those who moved into the Capital Region, employment related reason is outstanding. But those who moved out from the Capital Region, moved for employment as well as family related reasons. For movement within the Capital Region, housing related reason is equally important together with employment and family reason. The analysis also found that among individual attributes, age and marital status affect most significantly to the reasons for move. Education level and housing ownership are also important for explaining for variations in reasons for move.
This paper gives special attention to the changes of time use patterns of the German population for eating and drinking as well as for household work. It especially examines the changes in time use for meals eaten at home and away from home as well as the division of labour for nutrition provision activities between men and women. The presented results originated from two time budget surveys conducted in Germany in 1991/92 and 2001/02. In a secondary analysis time use patterns for eating and drinking and nutrition provision activities were examined on a base of a representative sample of 12600 private households. Surprisingly the amount of time spent on eating and drinking increased over the period. More Germans ate away from home at least once a day, whereas meals at home were still dominant. Moreover comparisons over time revealed that the share in household and food provisioning work has narrowed between men and women, especially in households with both partners being employed. Overall the analysis shows that time use data allow general statements regarding the amount and changes of time spent on daily eating, household work and especially food provision activities. The extent of women's employment has shown to be most decisive for an equal division of household work between gender. To be able to better interpret the results and to understand the consequences for family life, it is necessary to complement time use data with qualitative interviews to gain comprehensive insight into peoples nutrition goals, motives and barriers of action.
Journal of rehabilitation welfare engineering & assistive technology
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v.6
no.1
/
pp.83-87
/
2012
This study is aimed to identify latent classes which are based the change patterns in assistive technology device use among worker with disabilities and to test the effects of independent variables(gender, education, disability type, disability density, activity and participation of ICF: ICF, subjective socioeconomic status: SES, job satisfaction, life satisfaction) on determining latents classes. This study applied Nagin's(1999) semi-parametric group based approach to the panel survey of employment for the disabled. Because dependant variable has dichotomous scale, logit model was used. The results identified three latent classes, which could be defined based on the patterns as follows; assistive device continued use group, assistive device mid-level use group, assistive device sharp decline use group. The effects of the independent variables on the latent classes was tested by multinomial logit analysis. The results showed that education, disability type, ICF, SES, and life satisfaction were significant determinants of the latent classes. Finally, the implications based on analysis results were suggested.
The goal of this research is to explore quantitative and residential features and spatial patterns of two-person households to suggest policy implications for housing supply and development in Seoul. Major findings of this study are as follows. First, the number of two-person households has increased rapidly mainly due to the growth of the elderly and single-parent households. They are mainly composed of the elderly over 60s and the youth of 30s of householder age. They are less likely to have well-paying jobs, and thus more likely to suffer from poverty. They are also inclined to live in rental and small-sized residential units and spatial segregation between the youth and the elderly became serious. In addition, their residential area can be classified into four types: area adjacent to employment centers, hinterland of urban centers, affordable multi-family housing area and redeveloped apartment area. It is necessary to change the current housing policy directions to take changing population and household structure into consideration. Also, diversified housing strategies and programs should be prepared to consider various household types and their needs and demands. Place-based strategies for housing supply and development are needed in consideration of spatial patterns and locational attributes of two-person households. Attention needs to be paid to resolving the social issue of residential segregation between different generations.
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