• Korean Journal of Health Education and Promotion
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• v.27 no.2
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• pp.79-93
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• 2010

Objectives: This study aims to identify the factors associated with the stages of change in colorectal cancer screening, and develop a model explaining these stages of change by using structural equation modeling analysis. Methods: On the basis of literature review and expert advice, we constructed our hypothetical model that consisted of five theoretical constructs(process of change, pros, cons, self-efficacy, stage of change). In 2009, data was collected from 486 participants aged between 50 and 69. The data were analyzed by SPSS 15.0 and AMOS 6.0. Results: In the case of stage of adoption, the contemplation stage was the most common (37.4%), followed by the action stage (26.5%). In the final model of the stage of change for colorectal cancer screening, there was a direct influence of the process of change ($\gamma$=.562, p<.001), and cons ($\gamma$=.132, p<.01) on the stage of change with the terms of GFI .931, AGFI .904, RMR .038, NFI .930, and NNFI .936. Conclusion: It is necessary to produce and disseminate evidence-based cancer screening information, which can mitigate the negative attitude among the public toward cancer screening. Also, it is essential to provide a safer and more comfortable environment at cancer screening center.

• Journal of Korean Academy of Nursing
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• v.32 no.5
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• pp.609-622
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• 2002

The purpose of this study was to investigate the relationships among variables of transtheoretical model for exercise in the elderly. Method: A hypothetical model explaining the stage of change was constructed based on a transtheoretical model. Empirical data for testing the hypothetical model was collected from 246 old adults over 65 years old in a community settings in Seoul, Korea in June and July, 2000. Data were analyzed by descriptive statistics and correlational analysis using pc-SAS program. The Linear Structural Modeling(LISREL) 8.0 program was used to find the best fit model which explain causal relationship of variables. Result: The fitness of modified model to the data was X2= 96.75(df=49, p=.00005), GFI= .98, NFI=.99, AGFI=.95, NNFI=.99. The the predictable variables of stage of change explained 64% of stage of change for exercise Conclusion: Results are consistent with the studies of application of the transtheoretical model, which has been used to understand how people change health behaviors. The findings of this study give useful informations to construct exercise intervention program for the elderly about relationships among variables influencing to the stage of change of exercise.

• Journal of Korean Academy of Nursing
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• v.30 no.2
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• pp.366-379
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• 2000

The purpose of this study was to identify causal relationships among variables of transtheoretical model for exercise in the elderly A predictivel model explaining the stage of change was constructed based on a transtheoretical model. Empirical data for testing the hypothetical model was collected from 198 old adults over 60 years old in a community setting in Seoul, Korea in April and May,1999. Data were analyzed by descriptive statistics and correlational analysis using pc-SAS program. The Linear Structural Modeling (LISREL) 8.0 program was used to find the best fit model which predicts causal relationship of variables. The fit of the hypothetical model to the data was X2=132.85. (df=22, p=.000). GFI=.88, NNFI=.35, NFI=.77, AGFI=.59 which was not favorable but the fit of modified model to the data was X2=46.90. (df=27, p=.01).GFI= .95, NNFI=.91, NFI=.92, AGFI=.87) which was more than moderate. The predictable variables of stage of change for exercise of the Korean elderly were helping relationship, self cognitive determination, conversion of negative condition in process of change and efficacy for exercise. These variables explained 68% of stage of change for exercise of the Korean elderly.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.8 no.3
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• pp.391-401
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• 2001

Purpose: The purpose of this study was to identify variables that influence smoking cessation based on the transtheoretical model. Methods: Variables that influence the stages of change in smoking cessation were selected based on transtheoretical model. Data were collected from 176 men aged 30-64 who smoked, Data collection was done in community settings in Seoul and vicinity, Korea between December, 1999 and June, 2000. Data were analyzed by descriptive statistics and logistic analysis using the pc-SAS program. Results: According to the logit model, the influence of significant variables on stage of change for smoking cessation suggest that ; When the scores for Pros in decision making for smoking cessation are high, the possibility that the subjects are in the action, precontemplation and contemplation stage of change will be lower than the possibility that the subjects are in the maintenance stage of change. When the scores of habitual craving in smoking temptation is high, the possibility that the subjects are in the precontemplation and contemplation stage of change will be higher than the possibility that the subjects are in the maintenance stage of change. When the scores of smoking temptation in negative affect situations are high, the possibility that the subjects are in the contemplation stage of change will be higher than the possibility that the subjects are in the maintenance stage of change. When the scores of cognitive process in the process of change are high, the possibility that the subjects are in the contemplation stage of change will be higher than the possibility that the subjects are in the maintenance stage of change. Conclusions : The results provide evidence that physical and psychological dependence on smoking are main barriers to smoking cessation. Therefore nursing interventions based on stage that focus on increasing motivation and intention for smoking cessation need to be developed.

• Journal of Korean Academy of Nursing
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• v.35 no.1
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• pp.27-36
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• 2005

Purpose: The main purpose of this study was to investigate that the stages of change in smoking cessation behavior among coronary artery disease patients for six months progressed following the stages of change suggested by the transtheoretical model. Method: Subjects for this descriptive survey were 59 coronary disease patients who were smoking or who had stopped smoking for less than six months. Result: In the baseline, the distribution of the subjects’ stages of change was as follows: pre-contemplation stage 25.4%, contemplation stage 25.4%, preparation stage 22%, and action stage 27.1%. After six months, more subjects in the contemplation(33.3%) and preparation stages(30.8%) progressed to the action stage than those of the pre-contemplation stage(0%). Eighty-one percent of the subjects in the action stage at baseline progressed to the maintenance stage. The relationship between the numbers of smoking cessation attempts for six months and stages of change at baseline was significant(p=.001). However, the relationships between self-efficacy and nicotine dependence at baseline and progression in stages of change after six months were not significant. Conclusion: Progression in the stages of change for six months among subjects corresponded to the stages of change suggested by the transtheoretical model. Hence, future development and evaluation of intervention programs should be tailored individually considering each patient's stage of change.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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• pp.235-241
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• 2000

This article suggests integrated neural network models for the interest rate forecasting using change point detection. The basic concept of proposed model is to obtain intervals divided by change point, to identify them as change-point groups, and to involve them in interest rate forecasting. the proposed models consist of three stages. The first stage is to detect successive change points in interest rate dataset. The second stage is to forecast change-point group with data mining classifiers. The final stage is to forecast the desired output with BPN. Based on this structure, we propose three integrated neural network models in terms of data mining classifier: (1) multivariate discriminant analysis (MDA)-supported neural network model, (2) case based reasoning (CBR)-supported neural network model and (3) backpropagation neural networks (BPN)-supported neural network model. Subsequently, we compare these models with a neural networks (BPN)-supported neural network model. Subsequently, we compare these models with a neural network model alone and, in addition, determine which of three classifiers (MDA, CBR and BPN) can perform better. This article is then to examine the predictability of integrated neural network models for interest rate forecasting using change-point detection.

• Asia pacific journal of information systems
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• v.11 no.4
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• pp.99-111
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• 2001

The prediction of stock price index is a very difficult problem because of the complexity of stock market data. It has been studied by a number of researchers since they strongly affect other economic and financial parameters. The movement of stock price index has a series of change points due to the strategies of institutional investors. This study presents a two-stage forecasting model of stock price index using change-point detection and artificial neural networks. The basic concept of this proposed model is to obtain intervals divided by change points, to identify them as change-point groups, and to use them in stock price index forecasting. First, the proposed model tries to detect successive change points in stock price index. Then, the model forecasts the change-point group with the backpropagation neural network(BPN). Finally, the model forecasts the output with BPN. This study then examines the predictability of the integrated neural network model for stock price index forecasting using change-point detection.

• Korean journal of food and cookery science
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• v.30 no.6
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• pp.687-694
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• 2014

The purpose of this study was to investigate the salt-related dietary behaviors according to the stage of change model in middle school students from the Gyeongsangbuk-do area. Data were collected from, a total of 253 male and 210 female middle school students through. Self-reporting questionnaire. By stage of salt-related dietary behaviors, the 'Pre-contemplation stage' was comprised of 57.3%, the 'Contemplation stage' of 12.2%, the 'Preparation stage' of 7.4% and the 'Action stage' of 23.2% of students. There were significant differences in the stage of change according to the experience with salt-related nutrition education (p<0.05), wherein differences according to gender and parent's education were not observed. In the salt-related dietary behaviors, there were significant differences according to gender (p<0.05), pocket money (p<0.01), and the stage of change (p<0.001). Males had higher salt-related dietary behavior scores than females, while students who had more pocket money also had higher scores, and the action group had lower scores than the other groups. Among the 10 items of salt-related dietary behaviors, only 4 showed above the average score (2.92/5.00), including behaviors of liking kimchi, completely consuming snacks and instant foods, and drinking the broth of soups. The salt-related dietary score of males was higher than females, while the action group's score was lower than the other stages.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.37-39
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• 2000

The purpose of this paper is to present a neural network model based on change-point detection for the prediction of the U.S. Treasury Securities. Interest rates have been studied by a number of researchers since they strongly affect other economic and financial parameters. Contrary to other chaotic financial data, the movement of interest rates has a series of change points due to the monetary policy of the U.S. government. The basic concept of this proposed model is to obtain intervals divided by change points, to identify them as change-point groups, and to use them in interest rates forecasting. The proposed model consists of three stages. The first stage is to detect successive change points in the interest rates dataset. The second stage is to forecast the change-point group with the backpropagation neural network (BPN). The final stage is to forecast the output with BPN. This study then examines the predictability of the integrated neural network model for interest rates forecasting using change-point detection.

• Journal of Nutrition and Health
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• v.46 no.3
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• pp.276-284
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• 2013

This study compared levels of health and dietary behavior practices and health beliefs according to the stage of weight loss behavior change of Korean male workers. A self-administered survey questionnaire was collected from 411 male adult workers residing in Seoul, Kyeonggi, Chungcheong region. Practices of health related behavior, including smoking, drinking, exercise, work related physical activity, and dietary behavior according to dietary guidelines were evaluated. In addition, the levels of perceived benefit, perceived barrier, perceived susceptibility, perceived seriousness, and perceived cue to action from the health belief model were measured according to the stages of weight loss behavior change. Significant differences in BMI, level of daily exercise, and practices of dietary behavior according to dietary guidelines were observed among stages of weight loss behavior change. Subjects who were in action/maintenance stage showed a more desirable level of health behavior and health belief model variables, except perceived barrier. Based on the findings of this study, it is suggested that subjects with different stages of behavior change need an appropriate specific nutrition education method and material for improvement of nutrition education efficacy.