• Journal of Korean Academy of Nursing
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• v.32 no.3
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• pp.355-363
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• 2002

The purpose of this study was to examine the level of intention to quit smoking and to identify factors influencing intention to quit among patients with coronary heart disease. Method: The subjects consisted of 80 male patients with coronary heart disease (angina pectoris, myocardial infarction) at three hospitals in Seoul. The data were collected with self reporting in a structured questionnaire. Stepwise multiple regression was used to identify predictors of intention to quit. Included variables were attitudes toward smoking cessation, subjective norms, perceived behavioral control, usefulness of smoking cessation, and previous attempts to quit. Result: 1. The mean score for intention to quit was 11.1($\pm$6.1) which was lower than median score of the scale. 2. There were significant correlations between the all predictive variables and the intention to quit(r=.24-.48, p<.05). 3. usefulness of smoking cessation, perceived behavioral control, and previous attempts to quit explained 34.6% of the variance for intention to quit. Conclusion: usefulness of smoking cessation, perceived behavioral control, and previous attempts to quit were identified as important variables in explaining the intention to quit smoking among patients with coronary heart disease. Thus, it is necessary to try to enhance this factors for increasing intention to quit among patients with coronary heart disease.

• Journal of Korean Biological Nursing Science
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• v.19 no.3
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• pp.178-190
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• 2017

Purpose: The present study was designed to examine the impact of socioeconomic, health-related, and health behavioral factors on Korean people's intention to quit smoking. Methods: The subjects were 851 men and 145 women, aged 19 or more who had participated in the 2014 Korea National Health and Nutrition Examination Survey. The intention to quit smoking was categorized as "within 6 months," "after 6 months," or "no intention". The associations of the intention to quit smoking with sociodemographic, health related, and health behavioral factors were examined in a logistic regression. Results: In male smokers, the number of diseases, perceived somatotype, vigorous intensity leisure activity, aerobic physical activity, and smoking intensity had a significant influence on the intention to quit smoking. In female somkers, the economic status, number of diseases, walking activity, and moderate intensity leisure activity were significantly influential on the intention to quit smoking. Conclusion: To increase male smokers' intention to quit smoking, it should be emphasized that smoking is harmful to. Moreover, special attention should be paid to low-educated female smokers to increase their intention to quit smoking.

• Korean Journal of Health Education and Promotion
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• v.28 no.2
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• pp.75-85
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• 2011

Objectives: This study is to identify factors associated with intention to quit smoking among male adult smokers in 13 communities of Korea. Methods: Data from 2010 Community Health Survey (CHS) in 13 communities of Honam region, Korea, were analyzed. Multiple logistic analysis method was used to determine the influence of selected factors on the intention to quit smoking among male smokers. Results: Residential area, smoking amounts per day, exposure to secondhand smoking, past attempts to quit, walking activity, brushing teeth after lunch, and stress were found to be independently associated with intention to quit smoking. Socio-demographic factors including age, marital status, educational level, and monthly income were not associated. Conclusions: Identifying factors associated with intention to quit smoking provides possibilities for shaping effective policies and programs for increasing smoking cessation in Korea.

• Research in Community and Public Health Nursing
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• v.26 no.4
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• pp.364-371
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• 2015

Purpose: This study was conducted to identify the factors associated with intention to quit smoking in community-dwelling male adult smokers in Korea. Methods: This study was cross-sectional research that used data of 4,010 male smokers. Data from the 2013 Community Health Survey were analyzed through multiple logistic regression. Results: Of the male adult smokers, 65.64% reported that they had an intention to quit smoking. In the logistic regression analysis, age, amount of smoking per day, previous attempts to quit smoking, exposure to smoking-quitting campaigns, and toothbrushing after lunch were significantly associated with intention to quit smoking. Conclusion: These factors should be considered in developing policies and population-based smoking cessation programs to increase smoking cessation among Korean men.

• Research in Community and Public Health Nursing
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• v.24 no.4
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• pp.471-479
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• 2013

Purpose: This study was conducted to identify factors for smoking middle school students' intention to quit smoking on the basis of the social influence and self-efficacy [ASE] model. Methods: Data were collected from 2,015 students from five middle schools in Daegu with a structured questionnaire in March, 2013 and analyzed by using $x^2$-test, ANOVA, pearson's correlation and multiple regression analysis. Results: The smoking rate was 6.1% among the total subjects and 85.4% of the smokers had intention to quit smoking. The mean value of attitude toward quitting smoking was $2.15{\pm}0.34$, that of social influence $3.38{\pm}0.65$, and that of self-efficacy $2.84{\pm}0.95$. The multiple regression analysis showed an explanatory power of 24.7%, and experience of trying to quit smoking was the strongest factor affecting the intention to quit smoking (${\beta}$=.34, p<.01), followed by school years and social influence. Conclusion: In order to increase smoking middle school students' intention to quit smoking, intervention strategies are needed to increase positive social influence or to offer public information to younger smoking students in low school years.

• Korean Journal of Occupational Health Nursing
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• v.19 no.2
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• pp.236-245
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• 2010

Purpose: The purpose of this study was to examine the relationship of psychosocial distress, intention to quit and nursing performance. Methods: The data were collected through structured questionnaires from 210 registered nurses in a general hospital. They were analyzed by descriptive statistics, t-test, ANOVA, scheffe test, Pearson's correlation coefficient and multiple regression with the SPSS WIN program. Results: The results of the analysis showed that the mean of the psychosocial distress was $25.38{\pm}7.26$, intention to quit was $3.51{\pm}0.78$, and nursing performance was $3.67{\pm}0.46$. In the correlation analysis, the nursing performance had negative correlation with psychosocial distress(r=-.371, p=.000) and intention to quit(r=-.211, p=.002). There were statistically significant differences in nursing performance depending on age, marital status, position and work experience. The psychosocial distress and age explained 15.1% of nursing performance. Conclusion: This study showed psychosocial distress and intention to quit affects the nursing performance. Therefore, nursing executives and unit managers need to concern on the significance of the stress management programs so that these can be organizational support.

• Journal of Korean Public Health Nursing
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• v.33 no.3
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• pp.354-363
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• 2019

Purpose: This study was undertaken to identify factors related to quit-smoking intention based on the planned behavior theory among out-of-school youths. Methods: This study was a quantitative research, data were collected during Nov. 1. 2018 to Feb. 28, 2019, study subjects were 189 out-of-school youths in Youth support Center located in A, B, C area city. The data were analyzed using independent sample t-test and one-way ANOVA, Pearson's correlation coefficient, and multiple linear regression. Results: There was a significant differences of quit smoking intention according to age, weekly allowance, participate of antismoking program. There were positive correlations between quit smoking intention and attitude to non-smoking and perceived behavior control. In smoking cessation intention influenced by predictive variable, age, weekly allowance, attitude to non-smoking, and perceived behavior control explain 26.8% smoking cessation intention. Conclusion: We believe that findings from this study will help to develop the specific smoking cessation education program for out-of-school youth's health behaviors.

• Research in Community and Public Health Nursing
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• v.23 no.4
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• pp.358-365
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• 2012

Purpose: The purpose of this study was to investigate factors associated with the intention to quit smoking in community-dwelling elderly smokers. Methods: From the database of the Fourth Korean National Health and Nutrition Examination Survey (KNHANES-IV), the researchers selected 448 elderly smokers over the age of 65. Data were analyzed with the $x^2$ test and multiple logistic regression using the SPSS/WIN 18.0 program. Results: Of the respondents, 45.5% intended to quit. The factors associated with the intention to quit were relative youth, having limit of activity day living and having past attempts to quit. Conclusion: Population-based smoking cessation programs, especially those targeted at the elderly, should take these predictors into consideration in the design of interventions.

• Journal of Korean Academy of Nursing
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• v.35 no.7
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• pp.1410-1419
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• 2005

Purpose: This study identified and compared influential variables on intention and action to quit smoking between adolescent smokers and adult smokers. Methods: For the selection of variables, the transtheoretical theory was used. A survey was conducted with 376 adolescent smokers in 4 high schools and 451 adult smokers in community settings in South Korea. Discriminant analysis was used for data analysis Results: The variables of adolescent smokers that predicted an intention to quit smoking were: smoking temptation, self re-evaluation, counter conditioning and stimulus control. The variables that predicted an action to quit smoking were: self-efficacy for smoking abstinence, pros for smoking, self reevaluation, and self liberation. The variables of adult smokers that predicted an intention to quit were: smoking temptation, pros for smoking, cons for smoking, self reevaluation. The variables that self liberation and predicted an action to quit smoking were: self efficacy for smoking abstinence, smoking temptation, and counter conditioning. Conclusions: Developing stage specific smoking intervention methods based on different ways of how individuals make a decision to quit smoking within their contexts needs to be done.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.321-328
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• 2019

This study is to identify the factors related to smokers' intention to quit smoking and the differences between male and female smokers. We used data from Community Health Survey of 2017 and a total of 39,435 participated in the study. It was analyzed through IBM SPSS Statistics 23.0 to conduct frequency analysis and binary logistic regression analysis. We found that gender, age, marital status, education, household income, subjective health, attempts to quit smoking, exposure to quit smoking campaigns, education to quit smoking, and number of cigarettes per day are related to the smokers' intention to quit smoking. For male smokers, education and household income are relevant to their intention to quit smoking, unlike female smokers. The findings suggest that smoking cessation campaigns and education are necessary for smokers with low level of education or income. Further, it indicates that gender differences should be taken into consideration upon intervention program.