• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.334-344
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• 2018

This study was conducted to identify the relationship between knowledge, attitude, and compliance regarding infection preventive behaviors among long-term care hospital staff during a Middle East Respiratory Syndrome (MERS) epidemic. The subjects were 211 staff members of a long-term care hospital in J province evaluated using a structured survey. Data were collected between June 15 and July 15, 2015 and analyzed using SPSS/WIN 24.0 based on an independent t-test, ANOVA, and Welch test, while post-hoc tests were conducted using the Scheffe test and the Grames-Hawell test. The MERS knowledge score of the staff at the long-term care hospital was high for nurses and nurse aids, who had experienced infection management when they received influenza vaccine in the previous year and were provided with easy access to hand sanitizers. Attitude towards MERS was more positive for nurses than nurse aids and caregivers. The degree of execution of infection preventive behaviors in terms of daily activity was high when influenza shots were received in the prior year; in terms of caring for patients, it was high when influenza shots were received in the previous year and they had easy access to hand sanitizers. The relationship between knowledge, attitude, and infection preventive behavior regarding MERS was such that high knowledge and positive attitude led to a higher degree of execution of infection preventive behavior. Therefore, during periods of high prevalence of newly infectious diseases such as MERS, it is important for the long-term care hospitals to conduct infection management education including the characteristics of the MERS disease, its transmission, and its prevention to enhance knowledge regarding MERS and induce positive change in attitude to improve the level of infection preventive behaviors.

• The KIPS Transactions:PartD
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• v.16D no.5
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• pp.661-672
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• 2009

Recently it was found that various genetic structural variations such as CNV(copy number variation) exist in the human genome, and these variations are closely related with disease susceptibility, reaction to treatment, and genetic characteristics. In this paper we propose a new CNV detection algorithm using millions of short DNA sequences generated by giga-sequencing technology. Our method maps the DNA sequences onto the reference sequence, and obtains the occurrence frequency of each read in the reference sequence. And then it detects the statistically significant regions which are longer than 1Kbp as the candidate CNV regions by analyzing the distribution of the occurrence frequency. To select a proper read alignment method, several methods are employed in our algorithm, and the performances are compared. To verify the superiority of our approach, we performed extensive experiments. The result of simulation experiments (using a reference sequence, build 35 of NCBI) revealed that our approach successfully finds all the CNV regions that have various shapes and arbitrary length (small, intermediate, or large size).

• The Korean Journal of Nuclear Medicine
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• v.36 no.4
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• pp.255-260
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• 2002

Purpose: SAPHO syndrome is well known to various disease entities including synovitis, acne, pustulosis, hyperostosis and polyarthritis. The purpose of this study is to evaluate sicntigraphic findings and to compare with radiologic findings in SAPHO syndrome. Materials and Methods: Five patients (M:F=5.0, Age $22.8{\pm}4.78$ yrs) with SAPHO syndrome were enrolled in our study. All patients underwent whole-body bone scintigraphy with intravenous administration of 740 MBq of Tc-99m MDP. Among them, two patients were additionally perfomed SPECT of the spine to evaluate the location and extort of spinal lesion. Results: All patients were demonstrated abnormal increased uptakes in sternoclavicular joint (SC), sacroiliac joint (SI), and small joints of both hands. Among them, three patients were bilateral involvement (3/5) and two were unilateral (2/5) in SC. involvement of SI showed bilateral in four patients (4/5) and unilateral in one (1/5). SPECT images demonstrate that the lesion sites of the lumbar spine are more likely facet joints than vertebral bodies or pedicles. Conclusion: As SAPHO syndrome is the disease entity involved polyarticular joints with various dermatologic manifestations, the bone scintigraphy may be a very useful method to evaluate the location and extent of joint involvement, and to avoid inadequate surgical management or ineffective antibiotic treatment.

• Korean journal of food and cookery science
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• v.19 no.3
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• pp.263-270
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• 2003

This study was conducted to investigate the isoflavone (daidzein and genistein) contents, and the antioxidative and fibrinolytic activities of red and mung beans. Daidzein was not found in either the red or mung beans. The genistein contents of the red and mung beans were 40.7 and 27.8 mg/kg, respectively. Both samples had very high electron donating abilities and SOD-like activities. Fibrinolytic activities were not detected in the crude mung bean extract, but fibrinolytic substances were purified or activated under various pH conditions and with heat treatments. With heat treatment at 100 $^{\circ}C$ for 10 min, the specific activity was increased 4.61 fold. This study revealed that, although red and mung beans were poor in isoflavone, they could be good sources for functional products due to their strong antioxidative activities and heat- and acid-resistant proteolytic abilities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.93-103
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• 2016

This study consisted of descriptive research to determine the prevalence of dry eye disease using the Ocular Surface Disease Index (OSDI) questionnaire targeting workers in hospitals to understand the differences between general and health related characteristics depending on whether people have dry eye disease, and to determine the influencing factors of the disease. The subjects were 502 (Male: 51, Female: 451) general hospital employees in G-city. The data were collected from October 1 to October 31, 2015. Logistic regression was used to analyze the data. The results showed that hospital workers' prevalence of dry eye disease was 76.1%. Factors influencing DED in this population included currently having or adjusting medication (OR: 4.73), among those who felt their eyes dry, those who visited clinics and received medical treatment (artificial tears) (OR: 2.37), those who felt eye dryness (OR: 2.23), and not eating regularly (OR: 0.55). Moreover, 54.0% of those who had dry eye disease reported serious conditions. Accordingly, education to manage the risk factors of the disease and improve lifestyle is needed to prevent and manage dry eye disease.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.143-153
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• 2017

This was a descriptive survey to determine the intention of users to use smartphone healthcare applications (SHAs) and to clarify factors that may influence such intention. The data were collected during the month of April in 2015, using a structured self-report questionnaire that was distributed to 300 participants aged 20 to 70 years; 285 complete copies were used for the final analysis. The data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson correlation coefficients, and hierarchical multiple regression. First, according to the results, the average intention to use SHAs was 3.28 out of 5, which varied according to age, final education, economy level, vacation, current disease, total period of smartphone use, and etc. Second, significant correlations were shown by exercise behavior, dietary management behavior, stress management, satisfaction with smartphone use, and satisfaction with using SHAs. Third, the explanatory power of the predictive model involving all general, health-related, smartphone use-related, and SHA use-related factors was 45.5%; and the economic level, interest, status, and awareness satisfaction of patients using SHA were identified to be the main influential factors. The results indicate that SHA developers need to put efforts into improving consumers' app recognition and to develop plans in provoking consumers' interests to increase the use of SHAs.

• The Korean Journal of Blood Transfusion
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• v.29 no.3
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• pp.282-290
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• 2018

Background: Anti-E or paired anti-E/-c antibodies can develop in patients with the Rh CDe phenotype. This study examined the differences in transfusion in patients with the CDe phenotype according to formation of anti-E or anti-E/-c antibodies. Methods: Retrospective reviews were carried out on the results of antibody identification tests performed in 2014. The Rh phenotype and antibody specificity were investigated. The transfusion and medical records of patients with the CDe phenotype were examined. Results: In total, 76 patients were included in the review. Of these 76 patients, 38 (50.0%) were of the CDe phenotype. Anti-E antibodies were the most frequent (60.5%), followed by anti-E/-c antibodies (23.7%). The total transfusion units and platelet transfusion units were significantly higher in patients with anti-E/-c antibodies (P=0.028 and P=0.01, respectively). The distribution of categorized diseases was similar in the patients with the anti-E and anti-E/-c antibodies. A frequency of transfusion episodes greater than or equal to four was higher in patients with hepatobiliary diseases (85.7%). Conclusion: In CDe phenotype patients, platelet transfusion was significantly higher in the anti-E/-c positive group than the anti-E positive group, indicating that platelets play a role in red blood cell alloimmunization. Because E is the most immunogenic antigen in Korea, it is important to define the disease group, in which patients with CDe phenotype require a transfusion of E and c-negative blood.

• Journal of the Korean Society of Radiology
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• v.12 no.7
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• pp.869-877
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• 2018

This study analyzed the current status of MRI (frequency, amount of treatment) based on the history of application of the MRI health insurance benefit standard and health insurance claim data. MRI examinations began as a health insurance benefit in 2005. In 2005, the indications were restricted for some diseases, but coverage for benefits in 2010, 2013, 2016, and 2018 was expanded. In 2021, the Ministry of Health and Welfare decided to apply health insurance for all MRI examinations. From 2010 to 2017, the number of MRI examinations increased by 86.7% in 2017 compared to 2010, and the amount of treatment increased by 53.5%. According to general characteristics, the number of MRI examinations was higher in women than in men. By age, the number of examinations was the highest among ages 70-79. Outpatient examinations were more frequent than inpatient examinations, and the number of examinations in the tertiary hospitals was the highest among the types of hospitals. The number of brain MRI examinations was the highest in each exam site. In December 2013, the standard of MRI was expanded for heart disease and Crohn's disease, the number of cardiac MRI and abdominal MRI examinations increased in 2014 compared to 2013. However, the number of examinations is small and not associate with the disease, it would be difficult to say that it affected the increase in the total number of MRI examinations. To assess health insurance sustainability and policy effectiveness, monitoring will be necessary.

• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.37-44
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• 2019

The purpose of this study is to determine the inhibiting factors of dying well for people who want to have a good death. The final respondents in this study were sampled using stratified proportional allocation using a stratified random sampling method, and 1,000 adults aged between 19 and 75 years were selected. The questionnaire used consisted of four items on general characteristics and 20 items related to the inhibiting factors of dying well scored on a 7-point Likert scale. Analysis was conducted using descriptive statistics, correlation analysis, and decision tree analysis. Results showed that, among the inhibiting factors of dying well, "degenerative diseases (such as dementia)" and "loss of control (mental / physical)" scored 5.502 and 5.268 points, respectively; the highest significant positive correlation was found between "bad marital relationship" and "bad relationship with children," followed by "did not receive death education" and "lack of medical policy promotion (dying well)" and "bad relationship with children" and "indifference of others." Considering these findings, it appears that the whole society will make efforts to improve the perception and practice of good death, and life and death education will be expanded if death education for dying well is organized and implemented.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.99-104
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• 2021

In this paper, we propose health risk management using feature extraction and cluster analysis considering time flow. The proposed method proceeds in three steps. The first is the pre-processing and feature extraction step. It collects user's lifelog using a wearable device, removes incomplete data, errors, noise, and contradictory data, and processes missing values. Then, for feature extraction, important variables are selected through principal component analysis, and data similar to the relationship between the data are classified through correlation coefficient and covariance. In order to analyze the features extracted from the lifelog, dynamic clustering is performed through the K-means algorithm in consideration of the passage of time. The new data is clustered through the similarity distance measurement method based on the increment of the sum of squared errors. Next is to extract information about the cluster by considering the passage of time. Therefore, using the health decision-making system through feature clusters, risks able to managed through factors such as physical characteristics, lifestyle habits, disease status, health care event occurrence risk, and predictability. The performance evaluation compares the proposed method using Precision, Recall, and F-measure with the fuzzy and kernel-based clustering. As a result of the evaluation, the proposed method is excellently evaluated. Therefore, through the proposed method, it is possible to accurately predict and appropriately manage the user's potential health risk by using the similarity with the patient.