The purpose of this study is to understand immigrant women's knowledge of menstruation, attitude towards menstruation and knowledge of contraception. The study employed a descriptive survey. The participants were 120 married immigrant women in Chonnam area. Data were collected through questionnaire and interview from July to December, 2009. The participants had average score in knowledge and attitude of menstruation and knowledge for contraception. There were statistically significant differences in knowledge of menstruation according to nationality, level of satisfaction with current lifestyle, perceived health status, number of children desired, and sources of contraceptive information. There were statistically significant differences in attitude towards menstruation according to age, nationality, perceived health status, and number of children desired. There were statistically significant differences in knowledge of contraception according to level of education, nationality, and dysmenorrhea. According as the attitude toward menstruation increased, the knowledge for contraception decreased. The results of this study suggest a need for multidimensional strategy to raise knowledge of menstruation and contraception for married immigrant women.
Kim, Sung Young;Cha, Byeong Jun;Park, Jae Yong;Kam, Sin
Journal of the Korean Society of School Health
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v.8
no.2
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pp.277-291
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1995
The study was designed to grasp the mental health of junior college students and identify the relation between mental health and social support. The subjects for this study were 781 sophomores attending T junior college in Taegu. The data were collected through questionnaire during the period from september 10,1993 to september 24, 1993. The results of this can be summarized as follows: In mental health the average mark was 1.94 on the basis of 5 marks. Those whose mark was more than 75% (low) had Depression(8.7%),Obsessive compulsive reaction(5.2%) Anxiety(3.6%). In social support, the average mark was 3.03 on the basis of 4 marks, which showed comparatively high support; relationship with friends was 75.4%, companionship was 75.4%, and mutual understanding was 72.3%. Many students got more than 75% in total marks. In the state of mental health, there was a significant difference depending on sex, total income, the character and the attitude toward his parents. There is also an unusual difference in social support depending on the major subjects, the character, the problem at present and the attitude toward his parents. In mental health, both male and female students got higher marks in Depression, Obsessive compulsive reaction than in any other item. In social support level all students had a high support in the relationship with friends and mutual understanding. Those who are affectionate to and dependent on their parents had a tendency to have better mental health. The simple correlation modules between social support mark and mental health one was -0.5555 and the partial correlation modules of controlling sex, age, growth place was -0.5557. There was little difference between them. In mental health items Interpersonal sensitivity was highest correlated with social support and Somatinization was lowest correlated. There was a significant correlation between mental health and social support: the higher social support were, the better mental health was. In conclusion, the study showed that the relationship between the social support and the mental health level revealed a significant correlation. In social support Expressive support (companionship support, mutual understanding support) showed a higher degree of support than instrumental support(monetary support, demand support). Therefore, in the guidance of students, it is necessary to expand expressive support considering these respects. Further multidimensional study is needed on how to improve the mental health of junior students through the social support.
The latest active studies on distributed OLAP to adopt a distributed environment are mainly focused on DHT P2P OLAP and Grid OLAP. However, these approaches have its weak points, the P2P OLAP has limitations to multidimensional range queries in the cloud computing environment due to the nature of structured P2P. On the other hand, the Grid OLAP has no regard for adjacency and time series. It focused on its own sub set lookup algorithm. To overcome the above limits, this paper proposes an efficient central managed P2P approach for a cloud computing environment. When a multi-level hybrid P2P method is combined with an index load distribution scheme, the performance of a multi-dimensional range query is enhanced. The proposed scheme makes the OLAP query results of a user to be able to reused by other users' volatile cube search. For this purpose, this paper examines the combination of an aggregation cube hierarchy tree, a quad-tree, and an interval-tree as an efficient index structure. As a result, the proposed cloud P2P OLAP scheme can manage the adjacency and time series factor of an OLAP query. The performance of the proposed scheme is analyzed by a series of experiments to identify its various characteristics.
To improve performance using a multidimensional index in similar sequence matching, we transform a high-dimensional sequence to a low-dimensional sequence, and then construct a low-dimensional MBR that contains multiple transformed sequences. In this paper we propose a formal method that transforms a high-dimensional MBR itself to a low-dimensional MBR, and show that this method significantly reduces the number of lower-dimensional transformations. To achieve this goal, we first formally define the new notion of MBR-safe. We say that a transform is MBR-safe if a low-dimensional MBR to which a high-dimensional MBR is transformed by the transform contains every individual low-dimensional sequence to which a high-dimensional sequence is transformed. We then propose two MBR-safe transforms based on DFT and DCT, the most representative lower-dimensional transformations. For this, we prove the traditional DFT and DCT are not MBR-safe, and define new transforms, called mbrDFT and mbrDCT, by extending DFT and DCT, respectively. We also formally prove these mbrDFT and mbrDCT are MBR-safe. Moreover, we show that mbrDFT(or mbrDCT) is optimal among the DFT-based(or DCT-based) MBR-safe transforms that directly convert a high-dimensional MBR itself into a low-dimensional MBR. Analytical and experimental results show that the proposed mbrDFT and mbrDCT reduce the number of lower-dimensional transformations drastically, and improve performance significantly compared with the $na\"{\i}ve$ transforms. These results indicate that our MBR- safe transforms provides a useful framework for a variety of applications that require the lower-dimensional transformation of high-dimensional MBRs.
This paper presents a method in which the user produces a real-time facial animation by navigating in the space of facial expressions created from a great number of captured facial expressions. The core of the method is define the distance between each facial expressions and how to distribute into suitable intuitive space using it and user interface to generate realtime facial expression animation in this space. We created the search space from about 2,400 raptured facial expression frames. And, when the user free travels through the space, facial expressions located on the path are displayed in sequence. To visually distribute about 2,400 captured racial expressions in the space, we need to calculate distance between each frames. And we use Floyd's algorithm to get all-pairs shortest path between each frames, then get the manifold distance using it. The distribution of frames in intuitive space apply a multi-dimensional scaling using manifold distance of facial expression frames, and distributed in 2D space. We distributed into intuitive space with keep distance between facial expression frames in the original form. So, The method presented at this paper has large advantage that free navigate and not limited into intuitive space to generate facial expression animation because of always existing the facial expression frames to navigate by user. Also, It is very efficient that confirm and regenerate nth realtime generation using user interface easy to use for facial expression animation user want.
This study was carried out to investigate the post stroke depression (PSD) occurrence in acute stroke patients and to identify the factors that influence PSD. The study subjects were 104 adults in their 20s or older who were scheduled to be discharged due to inpatient treatment for ischemic stroke in two hospitals. Data were collected using Post Stroke Depression Scale for PSD, Multidimensional Scale of Perceived Social Support for social support, National Institutes of Health Stroke Scale for stroke severity, and Modified Rankin Scale for disability. The average length of stay after stroke onset of the study subjects was 5.9±2.1 days, and 79.8% were within 7 days. Stroke severity score was an average of 2.4±2.5 out of 42 points, and disability score was an average of 1.6±1.1 out of 6 points. Among the subjects, 32.7% had mild or more severe depression after stroke. The subjects with no religion, severe disability, high stroke severity, and less family support had a higher likelihood of experiencing PSD. These results show that depression can appear in the early stages of stroke onset. Therefore, it is necessary to develop nursing guidelines for depression intervention after acute stroke, including continuous early assessment of depression from the acute phase of stroke and religion or family support.
Journal of the Korea Academia-Industrial cooperation Society
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v.21
no.8
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pp.160-169
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2020
This study was conducted to identify the linkage and cooperation experiences in public case-management services of visiting health care practitioners. Focus group interviews were conducted with three people in charge of providing visiting healthcare services in public health centers. A semi-structured interview questionnaire was developed in advance through discussions among researchers In response to the interview questions, study participants described in detail the success and failure factors associated with linkage and cooperation that they experienced while providing visiting healthcare services. The interview data were analyzed qualitatively to identify the main themes and sub-themes reflecting visiting nurses' experiences with linkage and cooperation. The three main themes were: 'Guidelines act as positive performance factors for community-based linkage and cooperation', 'Unstable employment and lack of an integrated system act as barriers to linkage and cooperation', and 'Necessary for multidimensional approach to promoting linkage and cooperation'. Based on these results, the authors propose the development of clear linkage and cooperation standards and procedures, thereby ensuring job security for visiting nurses. Moreover, an integrated information system should be developed and implemented.
Journal of the Korea Academia-Industrial cooperation Society
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v.17
no.7
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pp.543-554
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2016
This study examined the fatigue and its association with job stress among male workers engaged in small-scale manufacturing industries. The study subjects were 553 male workers under 50 members of manufacturing industries. The study survey was a structured questionnaire of the Korean Occupational Stress Scale (KOSS) and Multidimensional Fatigue Scale (MFS) during April, 2015. The data were analyzed using the SPSS ver 21.0 program. The results showed that the high risk fatigue group was significantly higher in the high risk group of job stress than in the normal group of job stress. Fatigue was positively correlated with job stress. The odds ratio of the high risk fatigue group were increased significantly in the high risk group of job stress than in the normal group of job stress. The factors of influence with explanatory powers of 27.7% on fatigue included age, marital status, educational level, subject health status, sleeping time, drinking coffee, job tenure, shift work, visiting out-patient department, sense of satisfaction in job life, and job stress. Fatigue was associated with the sociodemographic characteristics, health behavior related characteristics, job-related characteristics, and job stress.
Journal of the Korea Academia-Industrial cooperation Society
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v.18
no.5
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pp.382-390
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2017
This study was conducted to identify the factors affecting the quality of life of cancer patients based on demographic characteristics, health status, and mental health using the results of the 6th National Health and Nutrition Survey. The research tool used the demographic characteristics, health status, mental health, and quality of life of the KNHANES VI-2. Data analysis was conducted using SAS 9.3 version. There were significant differences in the quality of life in the study results by age, gender, economic activity, individual income quartile, subjective health status, mental health status, activity limitation, stress perception, and experience of depression symptoms. Factors influencing the quality of life of cancer patients included age, sex, income quintiles(individual), subjective health status, activity limitation, and experience of depression symptoms, which together explained 39.1% of the quality of life. To improve the quality of life of cancer patients, comprehensive management is required from diagnosis to treatment to return to society. It is also necessary to develop and apply long-term programs including multidimensional approaches and improvement of quality of life, early screening of cancer and cancer prevention education, management of depression symptoms, and social support.
Over the past 20 years new and small firms have been identified as significant components of economic strategies for job and wealth creation. Implicit in these strategies has been the search for policies which will increase the supply of new firms, and will encourage established firms' growth. Yet the majority firms spend the whole of their economic life within the small firm sector. The aim of this paper is to suggest a multidimensional approach to the understanding of the comparative characteristics of the small firm by providing evidence as to the factors which describe firms of different sizes, regions and industries. And I discuss in the context of policy options for regional economic development in Korea. The results from the analyses are summarized as follows. The size of the small firms in the sample measured in terms of both number of employees and sales revenue are characterized by regions, export performance and R&D. There is also some indication that growing firms may develop more complex environment. These results are based upon a multi-dimensional analysis of the strategic profile of a sample of small firms using KIS. From this observation of the firms during the data collection period, this is a conclusion that I find intuitively appealing.
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