• Journal of the Korean Society of Physical Medicine
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• v.11 no.2
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• pp.17-24
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• 2016

PURPOSE: This study aimed to evaluate the effects of health-promoting behaviors on the subjective well-being of a physical therapist. METHODS: Survey data were collected from 247 physical therapists in Daejeon city. The baseline for health-promoting behaviors was determined using Health Promoting Lifestyle Profile (HPLP), subjective well-being was determined using Positive Affect and Negative Affect Schedule (PANAS), quality of life was measured using the SF-36 (Short-Form 36), and pain level was determined using the Quadruple Visual Analogue Scale (QVAS). Health-promoting behaviors and related factors were analyzed using an average comparative analysis (t-test), and the factors relevant to subjective well-being and health-promoting behaviors were evaluated using correlation analysis (Pearson's correlation coefficient). Factors affecting health-promoting behaviors were evaluated using stepwise multiple regression analysis (stepwise multiple regression). RESULTS: The mean score for health-promoting behavior was 3.73, with emotional support having the highest score (3.90) and regular meals having the lowest score (3.16 points; p<0.01). Health-promoting behavior was significantly correlated with positive emotions and negative emotions are subjective well-being, negative emotions and pain were noted (p<0.01). Health-promoting behaviors showed a significant correlation with quality of life (r=0.04), positive emotions (r=0.21; p<0.01), negative emotions (r=0.16; p<0.05), and pain level (r=0.016). The results of this study showed that health-promoting behaviors are significant predictors of subjective well-being in physical therapists (p<0.01). CONCLUSION: Physical therapists have to maintain their health by avoiding infections. Regular exercise is the most important factor among all health-promoting behaviors.

• Journal of the Korean Society of School Health
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• v.23 no.2
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• pp.295-307
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• 2010

Purpose: This study was conducted to find ways to improve foodservice quality and satisfaction of middle school students in school lunch service. Recognition of concerns about school lunch and quality attributes was evaluated by gender. And we tried to investigate quality attributes which could affect degree of foodservice satisfaction by gender. Methods: Two hundred students from each of 6 middle schools (3 schools in urban and 3 schools in rural) in Gyeonggi Province were surveyed using self-developed questionnaires. Total of 1,103 questionnaires (male 556 and female 547) were collected and data were analyzed using descriptive analysis, t-test, cross table and stepwise multiple regression by SPSS 11.0. Results: There were not significant differences in average importance scores (male 4.09, female 4.06) and average performance scores (male 3.36, female 3.30) of quality attributes between middle school boys and girls. But there were significant differences in 7 and 6 of 25 quality attributes in evaluating importance and performance respectively by gender. There was not a significant difference (male 3.13, female 3.24) in degree of foodservice satisfaction by gender. But there were significant differences in the distribution of satisfaction. Stepwise multiple regression analysis showed that degree of satisfaction was influenced by a taste of food, quick complaint handling, providing favorite foods, and food hygiene in male students (F=$51.1^{***}$, adjusted $R^2$=.265). Degree of satisfaction was influenced by a taste of food, providing favorite food, proper meal prices, providing a wide variety of food in female students (F=$91.4^{***}$, adjusted $R^2$=.399). Conclusion: We found out that there were significant differences in quality attributes when evaluating importance and performance and in quality attributes which could affect foodservice satisfaction by gender.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.12
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• pp.6181-6185
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• 2012

Background: The aim of the study was to evaluate the available breast nomograms (MSKCC, Stanford, Tenon) to predict non-sentinel lymph node metastasis (NSLNM) and to determine variables for NSLNM in SLN positive breast cancer patients in our population. Materials and Methods: We retrospectively reviewed 170 patients who underwent completion axillary lymph node dissection between Jul 2008 and Aug 2010 in our hospital. We validated three nomograms (MSKCC, Stanford, Tenon). The likelihood of having positive NSLNM based on various factors was evaluated by use of univariate analysis. Stepwise multivariate analysis was applied to estimate a predictive model for NSLNM. Four factors were found to contribute significantly to the logistic regression model, allowing design of a new formula to predict non-sentinel lymph node metastasis. The AUCs of the ROCs were used to describe the performance of the diagnostic value of MSKCC, Stanford, Tenon nomograms and our new nomogram. Results: After stepwise multiple logistic regression analysis, multifocality, proportion of positive SLN to total SLN, LVI, SLN extracapsular extention were found to be statistically significant. AUC results were MSKCC: 0.713/Tenon: 0.671/Stanford: 0.534/DEU: 0.814. Conclusions: The MSKCC nomogram proved to be a good discriminator of NSLN metastasis in SLN positive BC patients for our population. Stanford and Tenon nomograms were not as predictive of NSLN metastasis. Our newly created formula was the best prediction tool for discriminate of NSLN metastasis in SLN positive BC patients for our population. We recommend that nomograms be validated before use in specific populations, and more than one validated nomogram may be used together while consulting patients.

• Imaging Science in Dentistry
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• v.51 no.2
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• pp.137-148
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• 2021

Purpose: This study aimed to assess the computer monitors used for analysis and interpretation of digital radiographs within the clinics of the Oral Health Centre of Western Australia. Materials and Methods: In total, 135 computer monitors(3 brands, 6 models) were assessed by analysing the same radiographic image of a combined 13-step aluminium step wedge and the Artinis CDDent 1.0^® (Artinis Medical Systems B.V.^®, Elst, the Netherlands) test object. The number of steps and cylindrical objects observed on each monitor was recorded along with the monitor's make, model, position relative to the researcher's eye level, and proximity to the nearest window. The number of window panels blocked by blinds, the outside weather conditions, and the number of ceiling lights over the surgical suite/cubicle were also recorded. MedCalc^® version 19.2.1 (MedCalc Software Ltd^®, Ostend, Belgium, https://www.medcalc.org; 2020) was used for statistical analyses(Kruskal-Wallis test and stepwise regression analysis). The level of significance was set at P<0.05. Results: Stepwise regression analysis showed that only the monitor brand and proximity of the monitor to a window had a significant impact on the monitor's performance (P<0.05). The Kruskal-Wallis test showed significant differences (P<0.05) in monitor performance for all variables investigated, except for the weather and the clinic in which the monitors were placed. Conclusion: The vast performance variation present between computer monitors implies the need for a review of monitor selection, calibration, and viewing conditions.

• Journal of the Korea Society of Computer and Information
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• v.28 no.5
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• pp.171-177
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• 2023

This study aims to provide useful information for prevention of doping by investigating and verifying relationships among demographic factors such as athletic career and experience of anti-doping education, controlled motivation, attitude toward anti-doping, perceived behavioral control factors and doping intentions to verify factors affecting doping intentions of domestic elite athletes based on the advance studies that have been carried out various theoretical approaches so far. Method: This study analyzed using SPSS 27.0 program. First, this study confirmed a multicollinearity problem by conducting Pearson's correlation analysis to examine correlation between variables. And this study conducted stepwise multiple linear regression to confirm how the variables affect doping intentions. Result: Study results show that all factors such as athletic career, experience of anti-doping education, controlled motivation, attitude toward anti-doping and perceived behavioral control have a significant impact on doping intentions, and this study verified significant impact by putting variables in order of each influence. As a result of verification, this study confirmed that controlled motivation has the greatest influence, and perceived behavioral control toward doping, experience of anti-doping education, attitude toward and athletic career came next in order.

• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.3
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• pp.141-148
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• 2012

Food policy is considered as the most basic and central issue for all countries, while making efforts to keep each country's food sovereignty and enhance food self-sufficiency. In the case of Korea where the staple food is rice, the rice yield prediction is regarded as a very important task to cope with unstable food supply at a national level. In this study, Korean paddy Rice yield Prediction Model (KRPM) developed to predict the paddy rice yield using meteorological element and MODIS NDVI. A multiple linear regression analysis was carried out by using the NDVI extracted from satellite image. Six meteorological elements include average temperature; maximum temperature; minimum temperature; rainfall; accumulated rainfall and duration of sunshine. Concerning the evaluation for the applicability of the KRPM, the accuracy assessment was carried out through correlation analysis between predicted and provided data by the National Statistical Office of paddy rice yield in 2011. The 2011 predicted yield of paddy rice by KRPM was 505 kg/10a at whole country level and 487 kg/10a by agroclimatic zones using stepwise regression while the predicted value by KOrea Statistical Information Service was 532 kg/10a. The characteristics of changes in paddy rice yield according to NDVI and other meteorological elements were well reflected by the KRPM.

• Journal of Korean Clinical Nursing Research
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• v.16 no.3
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• pp.51-61
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• 2010

Purpose: The purpose of this study was to determine the effect of needs for professional development and organizational climate on organizational socialization of clinical nurses. A cross-sectional analysis were performed to assess the factors affecting organizational socialization. Methods: The data used in this study were obtained from clinical nurses who were employed in a hospital (N=606). Using multiple regression, we tested variables to assess their effects on organizational socialization in this sample. The data were analyzed using descriptive test, t-test, ANOVA, Pearson correlation coefficiency and stepwise multivariate regression. SPSS 17.0 program was utilized for data analysis. Results: The mean scores of organizational socialization, needs for professional development and organizational climate were statistically differed by career ladder, educational level and position. Organizational socialization had significant positive correlations with the needs for professional development (r=.332, p<.01) and organizational climate (r=.523, p<.01). Those variables including career ladder explained 33.4% of organizational socialization. Conclusion: Our findings indicate that organizational socialization of clinical nurses could be enhanced by meeting the needs for professional development and organizational climate. Developing innovative educations for encouraging clinical nurses' carrier development and creating a positive organizational climate are mandated for clinical nurses to have constructive organizational socialization.

• Nuclear Engineering and Technology
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• v.19 no.2
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• pp.85-98
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• 1987

To analyze the aerosol dynamics in severe accidents of LMFBR, a new computer code entitled MCAD (Multicomponent Aerosol Dynamics) has been developed. The code can treat two component aerosol system using relative collision probability of each particles as sequences of accident scenarios. Coagulation and removal mechanisms incorporating Brownian diffusion and gravitational sedimentation are included in this model. In order to see the effect of particle geometry, the code makes use of the concept of density correction factor and shape factors. The code is verified using the experimental result of NSPP-300 series and compared to other code. At present, it fits the result of experiment well and agrees to the existing code. The input variables included are very uncertain. Hence, it requires uncertainty and sensitivity analysis as a supplement to code development. In this analysis, 14 variables are selected to analyze. The input variables are compounded by experimental design method and Latin hypercube sampling. Their results are applied to Response surface method to see the degree of regression. The stepwise regression method gives an insight to which variables are significant as time elapse and their reasonable ranges. Using Monte Carlo Method to the regression model of LHS, the confidence level of the results of MCAD and their variables is improved.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.438-448
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• 2016

This study was conducted to identify factors influencing the weight control behavior of college students. The subjects included college students in the C area, and data were collected through a self reported structured questionnaire from Dec 01 to 20 of 2015. Overall, 289 subjects were analyzed. Analyses consisted of descriptive statistics, t-tests, ANOVA, Pearson's correlation analysis, and stepwise multiple regression analysis. The findings showed a prominent distortion of college students' perceptions of their bodies based on evaluation by others and obesity stress, which had special impacts on their weight control behavior. Weight control behavior, body self-awareness (r=.31, p<0.001), assessment of body by others (r=.30, p<0.001), and obesity stress (r=.43, p<0.001) were closely related to their weight control behavior. Stepwise multiple regression revealed that their weight control behavior was closely influenced by obesity stress (${\beta}=.37$, p<0.001) and assessment of body by others (${\beta}=.15$, p=0.009). These variables accounted for 20% of the weight control behavior (F=37.30, p<0.001). Overall, assessment of body by others and obesity stress were found to be predictors of their weight control behavior. These findings indicate that it is necessary to develop and implement information programs and design appropriate prevention programs that can induce healthy weight control behaviors. Such programs should include health education, as well as intervention programs to identify such predictors and help college students judge and perceive their body shapes objectively so that they control their weight in a proper manner.

• Journal of Korean Academy of Nursing Administration
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• v.2 no.1
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• pp.125-139
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• 1996

Organizational commitment is characterized by a strong belief in and acceptance of the organization's goal and values ; a willingness to exert considerable effort on behalf of the organization ; a strong desire to maintain membership in the organization. The purpose of this study was to identify the variables which influence the organizational commitment and to test the relationship between the clinical nurses' organizational commitment and turnover intention. The subjects were 412 nurses who were working on general wards at three General Hospitals in Chounbuk. The data were collected by self-reporting questionnaire from Sept. 20 to Sept. 31, 1995. The instruments used in this study were Likert-type scale which were Organizational Commitment Scale by Mowday et al, and Turnover Intention Scale by Mobley et al. The questionnaire of organizational characteristics was made through reviewing literature. The data were analyzed by frequency, percentage, t-test, one-way ANOVA, Scheffe test, Pearson's correlation coefficient, and stepwise multiple regression with $SPSS-PC^+$ program. Major findings are as follows : 1. Mean scores for organizational commitment were 3.008 and turnover intention 3.167 on a 5 point scale. 2. Age and clinical experience were positively related to organizational commitment(r=.4806, p=.000; r=.4792, p=.000). 3. In the personal variables, hospital type(F=21.374, p=.000), education level(F=5.481, p=.001), position(F=30.867, P=.000), and marital status(t=-5.63, p=.000) of the nurses showed significant differences in organizational commitment. 4. The variables to the organizational characteristic were statistically significant in organizational commitment : formalization(r=.3458, p=.000), human-centered organizational characteristic(r=.4302, p=.000), performance- centered organizational characteristic(r=-.1502, p=.000), payment(r=.2234, p=.000), promotion(r=.2710, p=.000), benefit & service(r=.2325, p=.000), and resource inadequacy(r=-.2172, p=.000). 5. For the purpose of identifying the predicting variables in organizational commitment, stepwise multiple regression is conducted. The results show that age, human-centered organizational characteristic, formalization, hospital type, resource inadequacy, promotion, and benefit & service were significant variables and explained 46% of the variance. 6. Organizational commitment was significantly negatively correlated with turnover intention(r=-.6442, p=.000). As a result of stepwise multiple regression analysis, organizational commitment is the most powerful variable predicting turnover intention and explained 41.5% of the variance. In conclusion, this study shows that the higher the organizational commitment level, the lower the turnover intention. Therefore, for effective turnover management, it is important to improve the organizational commitment among clinical nurses. In order to enhance the organizational commitment by the clinical nurses, it will be useful to consider significant organizational characteristics variables identified in this study.