• Journal of Korean Public Health Nursing
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• v.29 no.2
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• pp.257-271
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• 2015

Purpose: This research examined the trend of school health education, using online research data on health behaviors of adolescents. Then it compared the health perceptions, healthy life practice, and health risk behaviors between students who received health education and students who did not. In addition, it predicted the impact of health education on health risk behaviors of students. Methods: Data from 72,435 participants of this survey were analyzed. Statistical analyses were performed on weighted data using the complex sampling design. Results: In the results of the research, general high schools students had the lowest rate of receiving health education, while sex education was the most actively held throughout the all locations. Next, medium-small cities had the lowest rate of receiving health education. Regarding health risk behaviors, students receiving health education had significantly lower rates of smoking, drinking, and sexual intercourse. Conclusion: This study shows that healthy life practices by students improves with the inclusion of health education, thus indicating that schools should invest in health education. This research generated evidence for the first time in Korea that school health education has a positive impact on health risk behaviors and provides basic data for policy development of school health education.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.20 no.3
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• pp.220-229
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• 2013

Purpose: The purpose of the study was to investigate activities-specific balance confidence and risk of fallings among rehabilitation patients with impaired of mobility, and to identify the influence of activities-specific balance confidence on their risk of fallings. Method: Data for 132 rehabilitation patients were collected between October June 20 and August 20, 2012 at nine hospitals in a metropolitan city. Data were analyzed using t-test, ANOVA, Pearson correlation coefficient and stepwise multiple regression with SPSS/WIN 20.0. Result: The mean score for rehabilitation patients' activities-specific balance confidence was 40.18 out of a possible range of 0-100 and the mean score for risk of fallings among rehabilitation patients was 31.10 within a possible range of 0-125. Significant factors affecting the risk of fallings among the rehabilitation patients were 'activity level', 'dementia', 'body mass index', 'anxiety', and 'presence of a caregiver', which together explained 34.7% of the variance. The most significantly factor influencing rehabilitation patients' risk of fallings was activities-specific balance confidence which explained 23.5% of the variance. Conclusion: The study results indicate that activities-specific balance confidence as well as physical factors should be considered for interventions to decrease risk of fallings in rehabilitation patients with impaired mobility.

• Journal of Korea Multimedia Society
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• v.17 no.5
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• pp.556-565
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• 2014

This paper proposes a method to track object of real-time video transferred through single web-camera and to recognize risk-situation and human actions. The proposed method recognizes human basic actions that human can do in daily life and finds risk-situation such as faint and falling down to classify usual action and risk-situation. The proposed method models the background, obtains the difference image between input image and the modeled background image, extracts human object from input image, tracts object's motion and recognizes human actions. Tracking object uses the moment information of extracting object and the characteristic of object's recognition is moment's change and ratio of object's size between frames. Actions classified are four actions of walking, waling diagonally, sitting down, standing up among the most actions human do in daily life and suddenly falling down is classified into risk-situation. To test the proposed method, we applied it for eight participants from a video of a web-cam, classify human action and recognize risk-situation. The test result showed more than 97 percent recognition rate for each action and 100 percent recognition rate for risk-situation by the proposed method.

• Journal of Radiation Protection and Research
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• v.46 no.3
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• pp.83-97
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• 2021

Background: The lifetime risk of lung cancer incidence due to radiation for nonsmokers is overestimated because of the use of the average cancer baseline risk among a mixed population, including smokers. In recent years, the generalized multiplicative (GM)-excess relative risk (ERR) model has been developed in the life span study of atomic bomb survivors to consider the joint effect of radiation and smoking. Based on this background, this paper discusses the issues of radiation risk assessment considering smoking in two parts. Materials and Methods: In Part 1, we proposed a simple method of estimating the baseline risk for nonsmokers using current smoking data. We performed sensitivity analysis on baseline risk estimation to discuss the birth cohort effects. In Part 2, we applied the GM-ERR model for Japanese smokers to calculate lifetime attributable risk (LAR). We also performed a sensitivity analysis using other ERR models (e.g., simple additive (SA)-ERR model). Results and Discussion: In Part 1, the lifetime baseline risk from mixed population including smokers to nonsmokers decreased by 54% (44%-60%) for males and 24% (18%-29%) for females. In Part 2, comparison of LAR between SA- and GM-ERR models showed that if the radiation dose was ≤200 mGy or less, the difference between these ERR models was within the standard deviation of LAR due to the uncertainty of smoking information. Conclusion: The use of mixed population for baseline risk assessment overestimates the risk for lung cancer due to low-dose radiation exposure in Japanese males.

• Journal of Preventive Medicine and Public Health
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• v.34 no.3
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• pp.191-199
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• 2001

Objective : In this study, we focused on estimating the burden of premature death in Korea caused by smoking using the YLL(years of life lost due to premature death) measurement. Methods : First, we determined parameters: such as age-specific standard life expectancy, age on death, sex, and cause of death by analyzing the national death certificate data and life table collected during 1997. These were provided by the National Statistical Office. Secondly, we estimated the age group- specific years of life lost due to premature death by employing the standard expected years of life lost(SEYLL) measurement. Thirdly, the burden of premature death caused by smoking was estimated using the YLLs measurement which was developed by the global burden of disease study group. Fourthly, We calculated the risk related to smoking using the population attributable risk. Results : The following results were obtained in this study: 1) Premature death that is attributable to smoking in males could be prevented in 60.9%(513,582 person-year) by non-smoking. 2) The burden of premature death by smoking for female was prevented to 17.7%(513,582 person-year) by non-smoking. Conclusion : We found that the YLL method employed in this study was appropriate in quantifying the burden of premature death. This provides a rational basis for planning a national health policy regarding premature deaths caused by smoking and other related risk factors.

• Journal of Biomedical Engineering Research
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• v.31 no.5
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• pp.375-384
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• 2010

The purpose of this study is to determine whether there is a correlation between the segmental bio-impedance measurement with the frequency modulations and the life-style disease of obesity. An obesity is not simply the factor for estimating the life-style disease of obesity, but also the risk factor occurring. There are many methods (BMI, WHR, Waist, CT, DEXA, BIA, etc.) for measuring a degree of obesity; the bio-impedance measurement is more economic and more effective than others. The physical examination, the blood test, the medical imaging diagnosis and the bio-impedancemeasurementswithmultiple frequencies for each body parts have been conducted for 77 people. The estimated value has been calculated through a segmental bio-impedance model based on multi-frequency that was created to reflect the highest correlation by analyzing correlation with linear regression analysis method for the measured bio-impedance and the risk factors. Then we compared with the clinical diagnosis. In case of high level cholesterol, low HDL-C and high LDL-C for life-style disease, the sensitivity is 80~100%and the specificity is 83~100%. This study has shown conclusively that bio-impedance can be a possible predictor to analyze the disease risk rate of population and individual health maintenance. And also the multi-frequency segmental bio-impedance can be used as early predictor to estimate the life-style disease of obesity.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.271-286
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• 2017

The objective of this paper is to evaluate whether longevity risk is properly managed in Korean life insurance industry by measuring longevity risk in the viewpoint of natural hedge. According to analysis, the sum of the reserve of annuity and that of whole life insurance appears to decrease in the case both reserve of annuity and whole life insurance are shocked by same degree and also the mortality rate of the aged policyholders is improved faster than that of the less aged policyholders. Although the sum of the reserves increases only when the mortality improvement of annuity policyholders is higher than that of whole life insurance policyholders by two times, more than 60% of reserve increase of annuity is found to be offset by natural hedge. Thus, it is judged that the longevity risk of Korea life insurance industry is properly managed by natural hedge.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.5
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• pp.73-82
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• 2022

Chronic diseases such as hypertension require a differentiated approach according to age and life cycle. Chronic diseases such as hypertension require differentiated management according to the life cycle. It is also known that the cause of hypertension is a combination of various factors. This study uses machine learning prediction techniques to analyze various factors affecting hypertension by life cycle. To this end, a total of 35 variables were used through preprocessing and variable selection processes for the National Health and Nutrition Survey data of the Korea Centers for Disease Control and Prevention. As a result of the study, among the tree-based machine learning models, XGBoost was found to have high predictive performance in both middle and old age. Looking at the risk factors for hypertension by life cycle, individual characteristic factors, genetic factors, and nutritional intake factors were found to be risk factors for hypertension in the middle age, and nutritional intake factors, dietary factors, and lifestyle factors were derived as risk factors for hypertension. The results of this study are expected to be used as basic data useful for hypertension management by life cycle.

• Journal of the Korean Society of School Health
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• v.23 no.1
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• pp.41-52
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• 2010

Purpose: The objective of this study is to investigate the relationship between middle and high school students' internet addiction, social support, self-efficacy and school life adjustment. Data were collected by self-administered questionnaires at middle and high school students located in Seoul and the metropolitan areas. Methods: The response rate is 94.8% (474 cases). The internet addition was measured by K Scale. The various methods of analysis were used, for example, frequency analysis, t-test, analysis of variance, and multiple regression analysis. Results: First, the mean score of internet addiction level is 2.07 in 5 Likert scale. the internet addiction level of the male students are higher than female students (p<.05). Second, as a result of classification of internet addiction groups by K Scale, 11 students (2.3%) are included in high risk group, 27 students (5.7%) are in potential risk group, 436 students (92.0%) are in general group. Third, the level of social support and self-efficacy of middle and high school students are very high. The difference of social support by internet addiction groups was not statistically significant. But, the difference of self-efficacy by internet addiction groups was statistically significant. The level of self-efficacy of the students in general groups are more higher than in high risk group and in potential risk group (p<.01). Fourth, the difference of school adjustment by internet addiction groups was very statistically significant. The level of school life adjustment of the students in general groups are more higher than in high risk group and in potential risk group (p<.01). Fifth, the internet addiction have a negative correlation with school life adjustment. And the social support and self-efficacy have a positive correlation with school life adjustment (p<.01). Finally, in stepwise multiple regression analysis, the internet addiction affects negatively on the school adjustment. And the support of teacher among three types of them affects positively on the school life adjustment. And the social self-efficacy among two types of them affects positively on the school adjustment (p<.01). Conclusion: to adjust desirably the school environment of the middle and high school students, optimal and efficient management of internet addiction was needed in the future and the improvement and promotion of social support and social self-efficacy of the students was also demanded.

• The Journal of the Korean life insurance medical association
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• v.33 no.2
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• pp.18-24
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• 2014

Bladder cancer is one of the most common cancers affecting men and women and thus has a profound impact on health care. The majority of patients (75%) with newly diagnosed urothelial tumors have non-muscle invasive disease confined to the bladder mucosa or the lamina propria. The most important risk factors for the development of bladder cancer are smoking and occupational exposure to toxic chemicals. Painless visible hematuria is the most common presenting symptom of bladder cancer. Cystoscopy and urine cytology are currently the recommended tools for diagnosis of bladder cancer. Excluding muscle invasion is an important diagnostic step, as outcomes for patients with muscle invasive bladder cancer (MIBC) are less favorable. For non-muscle invasive bladder cancer (NMIBC), the high rate and frequency of recurrence and the concern for disease progression - especially in patients with high-risk tumors - mandate careful strategies for tumor surveillance. The surveillance strategies should be based on available prognostic factors and in particular data from the EORTC risk tables.