The purpose of this study is to develop a formula for predicting weight gain after six months of smoking cessation in men. The subjects are 412 men who succeeded in quitting smoking for 6 months at public health center smoking cessation clinic. They have been undergone nicotine patch therapy and weekly counseling for 8 weeks. The final success of smoking cessation has been confirmed by urinalysis. I have measured body composition and vascular compliance before and after the program. Weight(0.98) and BMI(0.85) have shown high positive correlation. The prediction is as follows. Post Weight(kg) = 1.04636 * Pre-Weight - 0.19535 * Pre-BMI + 4.43528. The explanatory power of this estimation equation is 82.46%(<.0001). Based on these results, it is necessary to develop education and programs for effective counseling of the smoking cessation clinic. In addition, research on women is needed.
Journal of Korean Academy of Fundamentals of Nursing
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v.7
no.2
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pp.164-176
/
2000
Purpose : This study was done to identify the factors of decisional balance for smoking cessation among middle aged men in Korea. This was composed of a set of variables at the level of decision making when middle aged men decide to stop smoking. It was used to classify and identify the characteristics of the stages of change for smoking cessation to which the middle aged men belong, and was used to identify the variables of decisional balance which influenced the stages of change for smoking cessation in middle aged men. Methods : A convenience sample of 169 men who had smoked and were smoking, were between age 30 and 60 and lived in Seoul(mean age=44), were selected from the community. The data was collected from December 10, 1999 to February 28, 2000. The research instrument was the Decisional Balance Measure for Smoking Cessation (Velicer et al., 1985). and Stage of Change Measure(DiClemente et al., 1991). The data were analyzed using the SAS Program. Results : 1. According to stage of change measure, the 169 subjects were distributed in each stage of change for smoking cessation: in the pre-contemplation stage 63 subjects(32.7%), contemplation stage 60 subjects (35.5%), preparation stage 17 subjects(10.1%), and maintenance stage 29 subjects(17.2%). 2. Factor analysis identified 4 factors of decisional balance as appropriate factors for smoking cessation of middle aged men. There were named by the researchers; 1)'Perceived Burden to Self', 2)'Perceived Benefit to Others' 3)'Perceived Approval to Others', and 4)'Perceived Disapproval to Self'. 3. Analysis of variance showed that the three components, 1)'Perceived Burden to Self(F=8.50, P=.0001)', 2)'Perceived Benefit to Others(F=3.19, P=.025)' and 3)'Perceived DisApproval to Self(F=2.87, P=.038)were significantly associated with stage of change. 4. Through discriminant analysis, it was found that 'Perceived Burden to self' was the most influential variable in discriminating the four stages of change(pre-contemplation, contemplation, preparation, and maintenance). Conclusion : The results are consistent with the application of the Transtheoretical model, which has been used to understand how people change health behavior. Even though this study is a cross-sectional, not a longitudinal study, the findings of this study give useful information for smoking cessation intervention for the middle aged men.
Kim, Jung-Soon;Jeong, Ihn-Sook;Chun, Byung-Chul;Park, Nam-Hee
Journal of Preventive Medicine and Public Health
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v.36
no.4
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pp.377-382
/
2003
Objectives : The purpose of this study was to investigate the predictor associated transitions with each stage of smoking cessation based on the Transtheoretical Model, and to provide basic data for smoking cessation programs for adolescents. Methods : The participants were 297 current and former smokers, obtained from stratified random sampling of 2nd graders from 127 high schools in B cities. The data were collected between April 6th and 16th 2002, using a structured self-report questionnaire, and analyzed using a multiple logistic regression, with the SPSS program for Windows (Version 10.0). Results : The predictors of transition from precontemplation to contemplation were consciousness raising (OR=1.22, 95% CI:1.07-1.40), coping pros (OR=.84, 95% CI:.70-1.00) and attitude of parents to smoking (OR=2.97,95% Cl: 94-9.24). The predictors of transition from contemplation to preparation were helping relationships (OR=.83, 95% CI:.72-.96), self-liberation (OR=1.15, 95% CI: 99-1.33) and nicotine dependence (OR=.76, 95% CI: 56-1.03). The only predictor of transition from preparation to action was the social pros (OR=.66, 95% CI:.57-.82). The predictors of transition from action to maintenance were self-reevaluation (OR=.81, 95% CI:.71-.92) and negative affective situation (OR=.85, 95% CI:.72-1.00). Conclusion : Adequate examination on the factors for predicting the transitional stages of change for smoking cessation in Koreans are presented in this study. The results of this study will become the pillar of smoking cessation Planning and application programs.
Purpose: The purpose of this study was to investigate the stages of change in smoking cessation after a Coronary Artery Bypass Graft(CABG) and to identify the related factors. Methods: The subjects (n=157) were patients who underwent a CABG in a university hospital from March 1998 to October 2005 and were smokers before the CABG. Data was collected viachart review and a telephone interview, and analyzed with descriptive statistics, $X^2$ test, one-way ANOVA, and Kruskal-Wallis procedure by the SPSS/PC win 12.0 program. Results: The subjects smoked for an average of 34 years (21 cigarettes per day) before surgery. Eleven percent of the subjects were in pre-contemplation, 6.4% in contemplation, 13.5% in preparation, 4.5% in action, and 64.5% in the maintenance stage. Nicotine dependence and self-efficacy were different among the groups with different stages of change in smoking cessation. Nicotine dependence was the lowest (p=0.00) and self-efficacy was the highest (p=0.00) in the maintenance stage. The number of subjects in pre-contemplation and contemplation significantly increased 6 years after surgery(p=0.05). Conclusions: To implement effective smoking cessation interventions for CABG patients, the intervention should be developed to accommodate individual readiness for smoking cessation, especially so for those who had a CABG more than 6 years previously.
Kim, Seon Hwa;Kweon, Young-Ran;Kim, Miran;An, Minjeong
Journal of Convergence for Information Technology
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v.9
no.11
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pp.28-37
/
2019
The purpose of this study was to develop an application(app) on smoking cessation for patients with human immunodeficiency virus (HIV) infection and evaluate its usability. A methodological study design was applied. The program contents were developed by expert panel based on the theory of planned behavior, HIV infection, and smoking cessation and usability evaluation and then the application was developed by IT experts following usability testing composed of heuristic evaluation by 3 mobile experts and users evaluation was conducted using surveys and interviews by 10 individuals with HIV infection. Descriptive statistics and contents analysis were computed to evaluated the collected data. All participants were male and their age were ranged from 40s to 60s. The average of app usability was 4.2. The participants experienced no difficulties and responded somewhat satisfaction. The results showed that the app was feasible and useful on smoking cessation for HIV patients and could be used as an valid approach.
Paek, Yu-Jin;Lee, Sungkyu;Kim, Yun-Hee;Lee, Kang-Sook;Yim, Hyeon-Woo;Kim, Myung-Shig;Kim, Cheol-Hwan;Jeung, Ok
Asian Pacific Journal of Cancer Prevention
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v.15
no.12
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pp.4963-4968
/
2014
Background: We evaluated whether providing health risk appraisal for Koreans (KHRA) in terms of 'health age' during smoking cessation program would effectively help smokers quit smoking or not. Materials and Methods: A total of 332 male smokers aged between 30-65 years old, registered for a smoking cessation program in a public health center in a city, were recruited and underwent a baseline survey from January 2010 to February 2011. They were then prospectively randomized to a conventional counseling group (n=165) or a KHRA group (n=167), and received conventional counseling or KHRA-based counseling for six months. Abstinence rates were identified through carbon monoxide measurement (at the $4^{th}$ and $24^{th}$ weeks) or urinary cotinine level (at the $12^th$ week). Results: The abstinence rate confirmed by exhaled carbon monoxide was significantly higher in the KHRA group (61.1%) than the control group (49.1%) at the $4^{th}$ week (absolute difference 12.0%, 95% CI: 1.4%-22.6%). However, there was no difference in abstinence rates between the two groups at the 12th and 24th weeks. The predicting factors of 24 week's smoking cessation success were age, older than 50 years old (OR 2.02, 95% CI: 1.16-3.52), lower Fagerstr$\ddot{o}$m Test for Nicotine Dependence score less than 4 (OR 1.84, 95% CI: 1.03-3.29), and higher Self Efficacy/Temptation score (OR 1.79, 95% CI: 1.05-3.06). Conclusions: Smoking cessation counseling with KHRA could be effective compared to conventional counseling in the short period of smoking cessation. Further study is needed to evaluate the long-term efficacy of KHRA in tobacco dependence treatment and to establish the indication and target population of this tool.
Journal of Korean Academy of Fundamentals of Nursing
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v.8
no.1
/
pp.69-80
/
2001
This study was done to investigate the relation of smoking temptation, stage of change in smoking cessation, nicotine dependency and perceived health status in middle aged men. Convenience samples of 176 subjects who were either smoked or used to smoke, aged between 30 to 64, living in Seoul and Kyungi province area in Korea were selected for the study. The data was collected from December 1, 1999 to June 30, 2000. The research instrument were Stage of Change of Smoking Cessation Measure (DiClemente et al. 1991). Smoking Temptation Measure (Velicer, DiClemente, Rossi, Prochaska. 1990), Perceived Health Status Measure (McDowell & Newell, 1996), and Nicotine Dependency Scale (FTQ: Fagerstrom, 1978). The data were analyzed using the SAS Program. The result of the study are as follows : 1. The analysis of variance and multiple comparison showed that according to the stage of change, there were significant mean differences in the three sub-factors of smoking temptation; 'positive affect situation (F=12.64, p=.0001)', 'negative affect situation (F=16.01, p=.0001)', 'habitual craving situation (F=14.43, p=.0001)' and nicotine dependency (F=4.12, p=.0033) The mean score for smoking temptation for the subjects who were in the precontemplation stage outweighed the mean score for smoking temptation for subjects who were in the maintenance stage. 2. Through discriminant analysis, it was found that negative affect situation was the most influential variable of the smoking temptation sub-factors which can be used to discriminate stage of change. 3. The analysis of Pearson correlation coefficients showed that there was a significant positive relation between nicotine dependency and negative affect situation of smoking cessation((r=0.2182, p=0.0045) and a significant negative relation between nicotine dependency and perceived health status(r=-0.2115, p=0.0059).
Kyung-Yi Do;Kwang-Soo Lee;Jae-Hwan Oh;Ji-Hae Park;Yun-Ji Jeong;Je-Gu Kang;Sun-Young Yoon;Chun-Bae Kim
Journal of agricultural medicine and community health
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v.49
no.1
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pp.37-49
/
2024
Objectives: This study aimed to explore whether there are differences in smoking status between two regions of Wonju-City and Chuncheon-City, Gangwon State, and to determine whether the experience of smoking cessation programs in the region affects quit attempts. Methods: The study design was a cross-sectional study in which adults aged 19 and older living in two cities were surveyed using a pre-developed mobile app to investigate social capital for smoking cessation, and a total of 600 citizens were participated, including 310 in Wonju-City and 290 in Chuncheon-City. The statistical analysis was conducted using chi-square test and logistic regression analysis. Results: Wonju-City had a higher prevalence of current smoking than Chuncheon-City. Among smoking cessation programs operated by local public health centers, Wonju-City had a lower odds ratio for experience with smoking cessation education than Chuncheon-City (OR=0.52, 95% CI=0.33 to 0.81). When examining the effect of smoking cessation program experience on quit attempts, in Wonju-City, citizens who had completed smoking cessation education and used a smoking cessation clinic were more likely to attempt to quit than those who had not (OR=2.31 and OR=2.29, respectively). In Chuncheon-City, citizens who were aware of smoking cessation support services were 2.26 times more likely to attempt to quit smoking than those who were not, but statistical significance was not reached due to the small sample size. Conclusion: Therefore, healthcare organizations in both regions should develop more practical intervention strategies to increase smokers' quit attempts, reduce smoking rates in the community, and address regional disparities.
Objectives: The aim of this study was to evaluate the effectiveness of smoking cessation clinics for soldiers in the Korean armed forces. In so doing it attempted to identify the predictors of smoking cessation and positive transition of stages of change. Methods: In a single-group pre-post test study design, 5,362 smokers from Korean armed forces participated in the smoking cessation clinic programs based on both the Transtheoretical model and life skills approaches. Changes in stages of change and related variables were measured before the intervention and at 3-month follow-up after the intervention. Results: The cessation rates was 66.0% at 3-month follow-up. With the positive transition to action/maintain stage, proportion of participants in action/maintain stage increased more than 5 times after the intervention. Cons of smoking, self-efficacy, processes of change, and life skills increased, and pros of smoking decreased after the intervention. Predictors of smoking cessation included nicotine dependency, pros of smoking, high levels of self-efficacy, processes of change and life skills. Positive stage transition was predicted by pros of smoking and high self-efficacy. Conclusions: Application of the Transtheoretical model and life skills approaches provided useful strategies for a smoking cessation program in armed forces.
Journal of the Korea Academia-Industrial cooperation Society
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v.17
no.8
/
pp.465-476
/
2016
This study was performed to survey factors related to smoking and smoking conditions among college students in H-gun. Data were collected and analyzed through a questionnaire from 181 college students in H-gun between the 26th and 30th of October, 2015. Using SPSS/WIN statistics 18.0, the data was analyzed by $X^2-test$, t-test, Spearman rho Correlation and Multiple Logistic Regression. There was a significant positive correlation among body weight, height, smoking cessation confidence, depression and smoking status. There was a significant negative correlation between smoking attitude and smoking status. The factors affecting smoking status explained 62.0% of the smoking status. The factors related to smoking were negative smoking attitude (OR 0.717, 95% CI 0.543-0.945) and high level of smoking cessation confidence (OR 1.281, 95% CI 1.117-1.470). It is necessary to improve smoking cessation confidence and increase negative smoking attitude in a smoking cessation program for college students.
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