The purpose of this study was to assess pain, life satisfaction, sleep pattern, and depression and the relations between these in elderly women with ostearthritis. Methods: The subjects were 124 elderly women with osteoarthritis at senior center in C city. Data were analyzed by descriptive statistics, Pearson's correlation coefficients, and multiple regression with SPSS/WIN 14.0. Results: The major findings of this study were as follows. 1) The mean score of variables were pain 2.58, life satisfaction 65.4, sleep pattern 37.6 and depression 13.58. 2) 43.5% of the subjects belonged to depression group. 3) There were significant relationships between depression and pain, life satisfaction, sleep pattern. 4) Significant factors influencing depression were life satisfaction, pain and sleep pattern. These factors explained 48% of depression in elderly women with ostearthritis. Among them, life satisfaction was the most significant factor. Conclusion: These finding give useful information for constructing an intervention and preventive program depression in the elderly women with osteoarthrtitis.
The main purposes of the study were to identify factors affecting health-related quality of life of elderly stroke survivors, and to suggest social work interventions for improving their quality of life. The participants were 328 elderly stroke survivors over 55 years old recruited from 18 long-term care hospitals and 13 nursing care facilities in Chung-Nam Province, Korea. The data was collected through a direct survey method from Dec. 16, 2008 to Jan. 17, 2009. Statistical analysis revealed that the overall health-related quality of life among participants was relatively low, especially in the social relationships domain. As a result of hierarchical multiple regression analysis, depression emerged as the most significant predictor of elderly stroke survivors' health-related quality of life, followed by financial burden in future, activities of daily living, acceptance of disability, comorbidity, and major financial supporter(spouse). Health-related quality of life of elderly stroke survivors in long-term care facilities was affected by a variety of variables from disease-related factors to environmental ones. Particularly psychosocial variables were the most powerful factors to predict HRQOL of elderly stroke survivors. Based on the results, social work implications were discussed in the context of developing clinical strategies to alleviate elderly stroke survivors' health-related quality of life in long-term care facilities. Living with chronic illness and disability is a great challenge to the elderly. Most of all long-term residence in care facilities can cause deterioration of quality of life in old age. From now on, studies on health-related quality of life of elderly with chronic illness and disability should be activated in social work field.
Korea government has launched long-term care insurance from 2008. However, one of the most important issues, whether or not providing cash benefit, is still unresolved. In this paper, in order to provide policy guidelines for the long-term care insurance, I attempt to estimate the Willingness-To-Accept (WTA) of the cash subsidy for informal care by using Double Bounded Dichotomous Choice method, a branch of Contingent Valuation Method (CVM). In doing so, I also estimated the determinants of the preference for cash benefit. Data were obtained from face-to-face survey interviews with 300 informal care-givers at three major general hospitals in Seoul, Korea. The questionnaire was constructed with two scenarios (mild/severe symptom). The results from logistic regression analyses and the estimation of WTA indicate that informal care-givers are willing to accept the cash benefit as low as 628 thousands won for mild fragile elderly and 1,072 thousands won for severe fragile elderly. The strength of this paper is that I estimated the WTA of the cash benefit by reflecting the changes in preferences of informal care-givers. The analytic results from the this paper suggest that the cash benefit in long-term care insurance is indispensible in achieving the goal of the long-term care system.
This study set out to investigate the effects of individual motivation on turnover intention among social workers and examine their turnover intentions in details by focusing on the mediation effects of multiple commitment. To be specific, it aimed to propose and test a prediction model for social workers' turnover intentions based on the Self-determination Theory and Theory of Planned Behavior. For those purposes, a mail survey was taken among social workers working for use facilities, residential facilities, public health centers, social welfare foundations and associations, and all kinds of centers and institutions in 15 cities and provinces across the nation. Total 1,918 questionnaires were distributed, and 1,671 ones were returned, and 979 whose respondents expressed a turnover intention were used in final analysis. The analysis results indicate that psychological motivation of social workers had direct impacts on their turnover intention. However, their role stress had no direct impacts on their turnover intention, which suggests that the impulsive routes model for turnover intention is supported only in psychological motivation and job characteristics. Secondly, their psychological and job motivation turned out to have indirect impacts on turnover intention through the multiple commitment, which suggests that the reflective routes model for turnover intention is supported in all career, job, and organizational commitment. Career commitment had the most significant impacts on turnover intention, being followed by job commitment and organizational commitment in the order, which suggests that the social welfare academy should increase their interest in career commitment. Based on the findings, the study proposed implication for the career management plans, plans for human resources
Journal of the Korea Knowledge Information Technology Society
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v.13
no.2
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pp.273-286
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2018
Korean government has taken various population policy so far According to demographic results, The aging population is rapidly aging and it is expected to deepen in the future. However, many senior citizens are also exposed to poor economic conditions and inconsistent health care risks Most seniors suffer from mental illness and chronic diseases. seniors in traditional cities feel very alienated as they change from large family to small family. As the number of elderly people living alone grows, social problems increase. At present, the health care for the elderly who live alone is not being taken properly, and they are under a very poor management system, both physically and mentally. Every human being has to be old, and we aim to spend our old age processes physically and mentally healthy. As the basic age of the elderly increases, it is necessary to consider various aspects of the welfare policies and medical policies that are followed. In this study, 100 elderly people over the age of 65 were surveyed for economic situations and physical and mental health conditions, and specially performed study on utility of 'urban senior multi care zone' to prove the necessity of introducing the latest digital devices to resolve these problems more effectively by analyzing serious feelings of alienation, loneliness, and emotional situations. Lastly, We conducted this research to find ways to help the elderly through customized health care.
Journal of the Korea Knowledge Information Technology Society
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v.12
no.1
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pp.69-78
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2017
KOIN (Korean medicine 人, http://www.koin.re.kr) is a Korean medicine knowledge portal developed for users who are interested in Korean medicine to share relevant information. The purpose of the present study is to seek methods for advancing the quality of the contents and services of KOIN to secure future users of the portal services before fully initiating the KOIN service. The crowd testing method was applied to test the functionality and usability of the current KOIN service, and domestic and international websites providing similar services were investigated and analyzed. About 150 errors were found in this functional testing procedure, but the identified functional problems were all corrected. An average score of 3.33 was calculated in the usability test, in which the reliability and the playfulness showed the highest and lowest score, respectively. We in this paper surveyed the 15 relevant websites with respect to KOIN in the traditional medicine and the modern medicine fields. The strengths and weaknesses of similar websites were analyzed to improve the KOIN services. In particular, it is shown that the evidence-based Korean medicine knowledge is KOIN's biggest strength. Users' needs and demand for the KOIN services will be continuously gathered to provide the Korean medicine knowledge services that the users require.
The Journal of Korean Academy of Sensory Integration
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v.21
no.2
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pp.35-44
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2023
Objective : This study sought to explore occupational therapy students' awareness of Developmental Rehabilitation Services (DRSs) and the certification of Sensory Developmental Rehabilitation Service Providers (SDRSPs). Moreover, it also aimed to examine the differences in students' awareness based on general characteristics. The findings were intended to provide a foundation for research on sensory developmental rehabilitation. Methods : An online survey was conducted among 199 occupational therapy students nationwide from October 4 to November 5, 2022. Frequency analysis was used to assess the general characteristics and additional items. Both descriptive statistics and frequency analysis were employed to assess the students' awareness of DRSs and SDRSP certification. Any differences in the students' awareness based on their general characteristics were examined using t-tests and an analysis of variance. Results : The students' awareness of DRSs was moderate (4.50 ± 2.40), while their awareness of SDRSP certification was also moderate (4.22 ± 2.55). The awareness of DRSs varied significantly based on the students' academic year and child-related practice experience. Similarly, the awareness of SDRSP certification differed significantly based on the students' academic program, academic year, recognition by the related department, and child-related practice experience. Conclusion : The occupational therapy students expressed a strong intention to provide DRSs and become certified as SDRSPs. However, their awareness levels were moderate. These findings emphasize the importance of educational efforts and the provision of relevant information about DRSs and SDRSP certification in universities to foster the development of competent SDRSPs.
Journal of the Korea Society of Computer and Information
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v.28
no.10
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pp.67-76
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2023
Although deep learning models are making innovative achievements in the field of computer vision, the problem of vulnerability to adversarial examples continues to be raised. Adversarial examples are attack methods that inject fine noise into images to induce misclassification, which can pose a serious threat to the application of deep learning models in the real world. In this paper, we propose a model that detects adversarial examples using differences in predictive values between edge-learned classification models and underlying classification models. The simple process of extracting the edges of the objects and reflecting them in learning can increase the robustness of the classification model, and economical and efficient detection is possible by detecting adversarial examples through differences in predictions between models. In our experiments, the general model showed accuracy of {49.9%, 29.84%, 18.46%, 4.95%, 3.36%} for adversarial examples (eps={0.02, 0.05, 0.1, 0.2, 0.3}), whereas the Canny edge model showed accuracy of {82.58%, 65.96%, 46.71%, 24.94%, 13.41%} and other edge models showed a similar level of accuracy also, indicating that the edge model was more robust against adversarial examples. In addition, adversarial example detection using differences in predictions between models revealed detection rates of {85.47%, 84.64%, 91.44%, 95.47%, and 87.61%} for each epsilon-specific adversarial example. It is expected that this study will contribute to improving the reliability of deep learning models in related research and application industries such as medical, autonomous driving, security, and national defense.
The Journal of Korea Institute of Information, Electronics, and Communication Technology
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v.16
no.5
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pp.338-346
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2023
During isometric elbow flexion, forearm length should be an important factor to determine not only joint torque but also maximum endurance time (MET), when the forearm is perpendicular to the direction of the force. The purpose of this paper is to examine the effect of forearm length as an additional factor on empirical models of MET such as an exponential model and a power model during isometric elbow flexion. Thirty volunteers participated in our experiment to measure factor variables such as circumferences and lengths of their upper and lower arms. Their METs were measured according to the percent of maximum voluntary contraction intensity (%MVC). For the multiple linear regression model of ln(MET) using these measurements, significant variables could be observed in %MVC and forearm lengths (P<0.05). The empirical models were assessed by these models using forearm length as the additional factor. Mean absolute deviations (MAD) between the measured METs amd the two empirical models were about 19.4 [s], but MAD using models applied forearm lengths were reduced to about 16.2 [s]. The correlation coefficients and intraclass correlation coefficients were about 0.87, but those applied forearm lengths were increased to about 0.91. These results demonstrated that forearm length was a significant additional factor to the empirical model.
Venous puncture is widely used to obtain blood samples for pathological examination. Because the invasive venipuncture method using a needle is repeatedly performed, the pain suffered by the patient increases, so our research team pre-developed a miniaturized near-infrared (NIR) imaging system in advance. To improve the image quality of the acquired NIR images, this study aims to model the non-local means (NLM) algorithm, which is well known to be efficient in noise reduction, and analyze its applicability in the system. The developed NIR imaging system is based on the principle that infrared rays pass through dichroic and long-pass filters and are detected by a CMOS sensor module. The proposed NLM algorithm is modeled based on the principle of replacing the pixel from which noise is to be removed with a value that reflects the distances between surrounding pixels. After acquiring an NIR image with a central wavelength of 850 nm, the NLM algorithm was applied to segment the final vein area through histogram equalization. As a result, the coefficient of variation of the NIR image of the vein using the NLM algorithm was 0.247 on average, which was an excellent result compared to conventional filtering methods. In addition, the dice similarity coefficient value of the NLM algorithm was improved by 62.91 and 9.40%, respectively, compared to the median filter and total variation methods. In conclusion, we demonstrated that the NLM algorithm can acquire accurate segmentation of veins acquired with a NIR imaging system.
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