• Journal of Preventive Medicine and Public Health
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• v.31 no.2 s.61
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• pp.199-214
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• 1998

This study was undertaken to explain weight control behavior and intention of obese children and adolescents as measured by the elements of the health belief model. A total of 732 obese students from 28 schools in Seoul metropolitan area and their mothers were assessed with a self-administered questionnaire. The analyzed results are as follows; 1. Among obese students, 45.3% of male students and 57.2% of female students, a significantly higher portion than male students, reported that they had tried to lose weight within the recent year. Exercise was the most frequently used method to lose weight followed by diet control, drug use, and specialized clinic visits, in descending order. 2. Male students were more likely to try to lose weight if they perceived a low threat level and their mother had a job, and female students were more likely to try to lose weight if they were younger in age, perceived a low threat level and had strong external motivating factors. 3. Female students showed a significantly higher level of intention to obesity control than male students, and the intention level of their mothers also showed the same trend. 4. In male students, the degree of weight dissatisfaction, weight control experience, the level of obesity related beliefs of students, the educational level of the mother and economic status of the family were significant predictors of intention to obesity control, and in females, age, the level of obesity related beliefs of students and intention of their mothers were significant. In the mothers of male students, obesity index of students, age of the mother and the level of obesity related beliefs of the mother were significant predictors of intention of the mother, and in the mothers of female students, obesity index of students, occupational status of the mother and obesity related beliefs of the mother were significant. 5. According to the path model of intention to obesity control, the degree of weight dissatisfaction had the most powerful effect in male students, and perceived net benefit level was the most important variable in female students. Since the weight control behavior and intention of obese students were more predictable by the degree of weight dissatisfaction than the obesity index, we can conclude that only the students dissatisfied with their weight are well motivated for obesity control. There can be a discrepancy between the mother and her child's beliefs and intention status(especially in male students), so the therapists should also assess the student's opinion as well as the mother's. In female students, the perceived net benefit level wag the most important predictor of intention to obesity control, therefore the intervention program should pay particular attention to the positive benefits of weight control rather than negative aspects(threats) of obesity.

• Korean Journal of Artificial Intelligence
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• v.6 no.1
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• pp.16-20
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• 2018

The development of modern information technology has increased the amount of big data about patients' information and diseases. In this study, we developed a prediction model of diabetes using the health examination data provided by the public data portal in 2016. In addition, we graphically visualized diabetes incidence by sex, age, residence area, and income level. As a result, the incidence of diabetes was different in each residence area and income level, and the probability of accurately predicting male and female was about 65%. In addition, it can be confirmed that the influence of X on male and Y on female is highly to affect diabetes. This predictive model can be used to predict the high-risk patients and low-risk patients of diabetes and to alarm the serious patients, thereby dramatically improving the re-admission rate. Ultimately it will be possible to contribute to improve public health and reduce chronic disease management cost by continuous target selection and management.

• Journal of the Korean Home Economics Association
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• v.42 no.2
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• pp.83-98
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• 2004

The purpose of this study was to investigate the effects of body image, body dissatisfaction, and drive for slimness, as mediated by self-esteem and depression, on eating disorder behavior according to gender The subjects of this study were 243 male and 323 female university students from Chungbuk National university in Cheonju. On the basis of previous literature, the theoretical model was specified and estimated for the adequacy of statistical fit for male and female students separately. The proposed theoretical model was supported by the data and fitted adequately. As expected, body image, body dissatisfaction, and desire for thinness had a direct effect on self-esteem for female students. However, whereas body image and body dissatisfaction directly influenced on male students' self-esteem, while desire for gaining weight had no direct effect. Eating disorder behavior in female students was predicted by body dissatisfaction, body image, and self-esteem. For male students, desire for gaining weight and self-esteem strongly predicted eating disorder behavior. The results indicate that the influence of body image, body dissatisfaction, and desire for thinness on eating disorder behavior can be mediated not by depression but by self-esteem.

• Animal cells and systems
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• v.8 no.1
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• pp.65-70
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• 2004

Rbm is a male infertility gene located in the AZFb region of the Y chromosome. Expression pattern of Rbm indicates that Rbm is critical for early phase of male germ cell development. It shares strong structural homology with hnRNP G, suggesting a function as an RNA processing factor. In order to gain a clue on the molecular mechanisms of Rbm on male germ cell development, we examined interactions of Rbm with selected proteins in yeast. The results revealed specific interactions between Rbm, hnRNP K and Tra2${\alpha}$. These results suggest that hnRNP K and Tra2${\alpha}$ may be functional partners of Rbm in male germ cells. We propose a model in which hnRNP K may playa role as a platform for Rbm and Tra2${\alpha}$.

• Fashion, Industry and Education
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• v.16 no.2
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• pp.1-16
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• 2018

This study explored men's choice of fashion as a college major and, subsequently, a non-traditional career path. Such investigation is important to gain a better understanding of the motives and processes of selecting a non-traditional college major and subsequent career path. This research consulted several theoretical frameworks to guide the development of research questions and help interpret the findings of the study. Specifically, our study builds upon Holland's trait theory (1982), Gottfredson's (1981) circumscription theory, Farmer's (1985) model of career motivation, and Simpson's (2005) typology of men's non-traditional career entry. A qualitative method was used to explore men's experiences of selecting fashion as an academic major in college and deciding to pursue a career in the traditionally female-dominated field. Following the analysis of 22 individual interviews with male upperclassmen majoring in fashion, three topical areas emerged and we proposed a model of male students' path to a non-traditional college major. The model explains male students' dynamics of entering a non-traditional college major, the role of personal and social factors in the decision process as well as the role of future career orientation when choosing to study fashion as an academic major.

• Asia-Pacific Journal of Business
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• v.11 no.3
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• pp.185-198
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• 2020

Purpose - The purpose of this study is to examine the effect of performance-related pay on gender labor productivity differences theoretically and empirically. Design/methodology/approach - This study analyzes the Principal-Agent model in which a firm employes many male and female workers under moral hazard, and uses large survey data from Survey of Business Activities of MDIS (MicroData Integrated Service) in Korea. The fixed-effect model is employed in order to analyze the data. Findings - The theoretical result is that, after performance-related pay is offered to workers, the effect of performance-related pay on gender productivity is determined by whether the female ratio within firm affects firm's performance(such as revenue and profit) per capita. The empirical result is that, before performance-related pay is provided for all workers, the firm's female ratio does not affect firm's revenue and profit per capita at all, but after it is offered, the female ratio positively affects firm's performance per capita. Research implications or Originality - Fixed pay does not bring about the difference between male and female productivity, but performance-related pay affects female productivity more positively than male productivity in Korean firms. It means that female workers are more sensitive to incentives than men in Korea.

• Journal of the Korean Home Economics Association
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• v.41 no.11
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• pp.35-48
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• 2003

The purpose of this study is to investigate ideal body image and clothing style through the analysis of models portrayed in fragrance advertisement that is the representative goods showing the fashion brand image. For this study, 120 perfume advertisements appeared in GQ and Vogue magazines issued in 2002 were selected. The models' characteristics portrayed in advertisement are categorized with role relationship, race, body exposure and clothing styles. The results are as follows. 1. Fragrance advertisements most commonly depict a single model portraying narcissism, and later then most common are advertisements both male and female model in a sexual relationship. 2. The analysis of models' race shows racism toward Asian models and Afro- American models. White models are main characters in fragrance advertisements more often than other races, and in mixed-ethnic ads, whites typically outnumbered minorities. This shows currently aesthetic stereotypes, that is, white ideology still exists. 3. The results of models' body exposure are showing nudism with partially clad or nude. This shows the eroticism of male and female. 4. The highest portion of clothing style appeared in fragrance advertisement were casual wear for male model and dressy formal wear for female models, which respects current fashion trends.

• Journal of muscle and joint health
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• v.22 no.3
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• pp.195-204
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• 2015

Purpose: The purpose of this study was to identify the effect of interpersonal relation and job stress on nursing performance among male nurses. Methods: This study was cross-sectional descriptive one. The data were collected from self-administered questionnaires by 110 male nurses members affiliated with the Korean Man Nurses Association. The data were analyzed using descriptive statistics, independent t-test, one way ANOVA with Duncan test, Pearson correlation, and stepwise multiple regression with the SPSS/WIN 21.0. Results: The average scores of interpersonal relation, job stress, and nursing performance were respectively 3.64, 3.10, 3.63. Nursing performance was high in married, good health condition, manager, and high salary among male nurses. Nursing performance showed significant positive correlation with interpersonal relation (p<.001), and a significant negative correlation with job stress (p=.010). Influencing factors of nursing performance among male nurses were interpersonal relation, health status, total duration of career, position, and the adjusted $R^2$ of the regression model was 42%. Conclusion: The results suggest that we need to develop a training program to improve the nursing performance of the male nurses.

• Journal of Biomedical Engineering Research
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• v.22 no.4
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• pp.369-375
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• 2001

The statistical regression model is one of the most frequently used clinical analysis methods. It has basic assumption of linearity, additivity and normal distribution of data. However, most of biological data in medical field are nonlinear and unevenly distributed. To overcome the discrepancy between the basic assumption of statistical model and actual biological data, we propose a new analytical method based on artificial neural network. The newly developed multilayer perceptron(MLP) is trained with 120 data set (60 normal, 60 patient). On applying test data, it shows the discrimination power of 0.76. The diabetic risk factors were also identified from the MLP neural network model and the logistic regression model. The signigicant risk factors identified by MLP model were post prandial glucose level(PP2), sex(male), fasting blood sugar(FBS) level, age, SBP, AC and WHR. Those from the regression model are sex(male), PP2, age and FBS. The combined risk factors can be identified using the MLP model. Those are total cholesterol and body weight, which is consistent with the result of other clinical studies. From this experiment we have learned that MLP can be applied to the combined risk factor analysis of biological data which can not be provided by the conventional statistical method.

• Journal of the Ergonomics Society of Korea
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• v.22 no.1
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• pp.17-29
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• 2003

This study was initiated to develop a methodology for devising Korean virtual models for apparel shopping at internet shopping site. The data base for this study was the Korean National Anthropometric Survey in 1997. The subjects were 493 women and 626 men in 20's. The researchers also measured 88 males and females in age 20's to suggest back and front depth proportions which are not available from the survey. The virtual models' figure types were classified by the heights, drop value and bust(chest) girth. It was evaluated whether it is needed to separate figure type with bust(chest) girth. The body sizes of virtual models were suggested for side view model and front view model in 13cm height. Four female virtual models were suggested for front view and side view. Eight male virtual models were suggested for front view and side view. Each virtual model's height, breadth and depth proportions were calculated. Shoulder breadth. Bust(chest) breadth, waist breadth, hip breadth and proportions were calculated for front view model. The bust(chest) depth, waist depth, abdomen depth, hip depth and proportions were calculated for side view model. Height proportions were suggested for female and male virtual models.