• Title/Summary/Keyword: smoking model

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Structural Equation Modeling on Smoking Cessation Intention in Male Technical High School Students (특성화고등학교 남학생의 금연의도 구조모형)

  • Do, Eun Su;Choi, Eunsuk
    • Journal of Korean Academy of Nursing
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    • v.47 no.2
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    • pp.211-221
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    • 2017
  • Purpose: This study was done to develop and test a structural model on smoking cessation intention in technical high school men. The conceptual model was based on the theory of reasoned action and health promotion model. Methods: From May 29 to April 13, 2015, 413 technical high school students who smoked completed a structured questionnaire. Data were analyzed to calculate the direct and indirect effects of factors affecting smoking cessation intention. The SPSS WIN 20.0 and AMOS 21.0 programs were used. Results: The hypothetical model was a good fit for the data. The model fit indices were $x^2/df=2.36$, GFI=.95, AGFI=.92, NFI=0.97, and RMSEA=.05. Self-esteem had direct and indirect effects on smoking cessation intention. Attitude, subjective norm, and self-efficacy had direct effects on smoking cessation intention. Smoking knowledge and environmental factor had indirect effects on smoking cessation intention. This model explained 87.0% of the variance in smoking cessation intention. Conclusion: These results indicate that technical high school students' intention to stop smoking can be improved through an increase in self-esteem, negative environmental factors, attitude toward smoking cessation, subjective norm about smoking cessation, and self-efficacy for smoking cessation.

Analysis for Influences of Individual Characteristics, Experience, Cognition, and Affect Relating to Smoking Quitting Behavior on Commitment to a Plan of and Practice for Smoking Quitting Behavior (금연과 관련된 개인의 특성, 경험, 그리고 인지·감정요인들이 금연행동 계획수립 및 실천에 미치는 영향 분석 -Pender의 개정된 건강증진 모형 적용-)

  • Oh, Hyun-Soo
    • Korean Journal of Adult Nursing
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    • v.13 no.2
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    • pp.277-290
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    • 2001
  • This study was conducted to examine if the revised HPM was appropriate to explain smoking quitting behavior. A convenience sample of 400 college students enrolled in the universities located in Seoul and Kyunggi-Inchon province was selected. According to the study results, smoking-specific cognitions and affect included in the study could significantly explain commitment to a plan to quit smoking which was one of the behavioral outcomes in the revised HPM. The study result showed that among predictors, smoking-related affect, perceived benefit of quitting smoking, and perceived self-efficacy significantly explained commitment to a plan to quit smoking, but perceived barriers and interpersonal influences did not. The model for smoking quitting behavior formulated with smoking-specific cognitions and affect was statistically significant and the model explained 48 percent of variance in smoking quitting behavior. More specifically, it was shown that among smoking-specific cognitions and affect, only smoking-related affect, interpersonal influences, and perceived self-efficacy were the significant predictors to explain smoking quitting behavior. Smoking-related affect was the most important variable to explain smoking quitting behavior, followed by perceived self-efficacy. However, the influence of commitment to a plan to quit smoking on smoking quitting behavior was not statistically significant. Lastly, the model for smoking quitting behavior formulated with individual characteristics and experiences could explain 13 percent of the variance in behavior to quit smoking. Although the model is statistically significant, only the number of quitting attempts had significant and direct influence on behavior to quit smoking, while the remaining variables did not.

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A Multilevel Model Analysis on the Determinants of Smoking Cessation Success Rates (다층모형을 통한 금연성공에 영향을 미치는 요인 분석)

  • Song, Tae Min;Lee, Ju Yul
    • Korean Journal of Health Education and Promotion
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    • v.30 no.1
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    • pp.53-64
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    • 2013
  • Objectives: In this study, a multilevel analysis model has been designed to investigate the effect of personal characteristics associated with smoking cessation on anti-smoking determinants with a goal of finding out the factors which have influence on smoking cessation among the entrants of smoking cessation clinic in a public health center. Methods: A total of 253,136 male smokers who received smoking cessation services for more than six(6) months in a smoking cessation clinic of public health center from July 16, 2007 to July 15, 2008 were examined. For technical analysis, SPSS Version 2.0 has been used. For multilevel analysis on smoking cessation determinants, in addition, HLM 7.0 has been adopted. Results: According to the unconditional model of multilevel analysis, the success rates of smoking cessation among the entrants of a smoking cessation clinic were 47.3%. In an unconditional slope model test to which regional variables were added, a negative effect was observed in average smoking amount, total smoking period, nicotine dependence and services while a positive effect was found in age, stress and type of social security in terms of the log of the odds of smoking cessation. In a conditional model test, a positive effect was observed in Non-Smoking Campaigns (NSC) and Frequency of Counseling (FC) in terms of the log of the odds of smoking cessation in regional variables. Conclusions: It is important to approach smokers individually and, at the same time, build healthy environment for a local community to increase smoking cessation rates among the entrants of smoking cessation clinic in a public health center.

Development and Test of the Hypothetical Model to Explain Smoking Cessation Behaviors Based on Triandis상 Interpersonal Behavior Theory (Triandis의 인간상호간 행위이론 (The Theory of Interpersonal Behavior)을 적용한 금연행위 예측 모형)

  • 오현수
    • Journal of Korean Academy of Nursing
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    • v.32 no.1
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    • pp.16-27
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    • 2002
  • This study was conducted to develop and test the hypothetical model which explains smoking cessation behavior was established based on the Triandis' interpersonal behavior theory. Method: The data were collected from the 400 university student smokers enrolled in the universities located in Seoul and Kyung-In province. The study was analyzed by path analysis with LIESREL 8 program. Results: All of the fit statistics, except the Chi-square value, it showed the hypothetical model was well fitted to the data. Benefit, affect, and social influences related to smoking cessation behavior had significant direct effect on intention to smoking cessation as shown in the study of the hypothetical model. Perceived barrier and the physiologic arousal related to smoking cessation had significant direct effects on performing smoking cessation behavior, whereas numbers of previous attempts to quit smoking and intention to smoking cessation did not.

The Korean Prediction Model for Adolescents’ Future Smoking Intentions

  • Lee, Sung-Kyu;Yun, Ji-Eun;Lee, Ja-Kyoung;Kim, Il- Soon;Jee, Sun-Ha
    • Journal of Preventive Medicine and Public Health
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    • v.43 no.4
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    • pp.283-291
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    • 2010
  • Objectives: The purpose of this study was to develop a prediction model for future smoking intention among Korean adolescents aged 13 to 15 in order to identify the high risk group exposed to future smoking. Methods: The data was collected from a total of 5940 students who participated in a self-administrated questionnaire of a cross-sectional school-based survey, the 2004 Korea Global Youth Tobacco Survey. Chi-square tests and logistic regression analyses were carried out to identify the relevant determinants associated with intentions of adolescents’ future smoking. Receiver Operation Characteristic (ROC) assessment was applied to evaluate the explanation level of the developed prediction model. Results: 8.4% of male and 7.2% of female participants show their intentions of future smoking. Among non-smoking adolescents; who have past smoking experience [odds ratio (OR) 2.73; 95% confidence interval (CI) 1.92- 3.88]; who have intentions of smoking when close friends offer a cigarette (OR 31.47; 95% CI = 21.50 - 46.05); and who have friends that are mostly smokers (OR 5.27; 95% CI = 2.85 - 9.74) are more likely to be smokers in the future. The prediction model developed from this study consists of five determinants; past smoking experience; parents smoking status; friends smoking status; ownership of a product with a cigarette brand logo; and intentions of smoking from close friends’ cigarette offer. The area under the ROC curve was 0.8744 (95% CI=0.85 - 0.90) for current non-smokers. Conclusions: For efficiency, school-based smoking prevention programs need to be designed to target the high risk group exposed to future smoking through the prediction model developed by the study, instead of implementing the programs for all the students.

Smoking-cessation Model for Male Patients with Coronary Heart Disease (남성 관상동맥질환자의 금연모형 구축)

  • Kim, Eun-Kyung
    • The Journal of Korean Academic Society of Nursing Education
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    • v.8 no.1
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    • pp.61-71
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    • 2002
  • purpose : The purpose of this study was to find out the influencing factors of smoking-cessation behavior of patients with coronary heart disease and to suggest the model of smoking-cessation behavior which was based on the relationship between influencing factors and then to test its fitness empirically. method : This study was based on the Theory of Reasoned Action and a hypothetical model was constructed with fifteen paths in consideration of main predictive factors of smoking-cessation behavior such as biological factor, disease-related characteristics, self-efficacy, supportive factor, environmental factor, disease-related perception factor, intention-to-quit, and psychological factor. The validity of a smoking- cessation model was tested to 264 patients with coronary heart disease by using SPSS 8.0 and Window LISREL 8.12a. results : 1. Seven of the 15 paths of smoking-cessation behavior proved to be significant. 2. The final model excluded three paths in the hypothetical model was demonstrated to be improved by $x^2$=44.31 (df=38, p=.22), Goodness of Fit Index (GFI)=.98, Adjusted Goodness of Fit Index (AGFI)=.96, Non-Normed Fit Index(NNFI)=1.00, Normed Fit Index(NFI)=1.00, and Root Mean Square Residual(RMR)=.24. 3.The smoking-cessation behavior was influenced directly by biological factor, self-efficacy, supportive factor, environmental factor, intention-to-quit, and psychological factor. The smoking-cessation behavior was accounted for 82% of variance by these factors. conclusion : although the adolescents' smoking behavior can be predicted by only smoking intention, it is hard to predict the adults' smoking-cessation behavior by only this factor. Therefore, intention-to-quit, self-efficacy, supportive factor should be improved because these are promotive factors for smoking-cessation behavior. Biological factor, environmental factor, and psychological factor are inhibitive factors, so nicotine replacement therapy is helpful to the high nicotine-dependents, and ex-smokers avoid other smokers in their environment and also patients should learn and practice the stress coping-skills.

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DYNAMIC BEHAVIOUR FOR A NONAUTONOMOUS SMOKING DYNAMICAL MODEL WITH DISTRIBUTED TIME DELAY

  • Samanta, G.P.
    • Journal of applied mathematics & informatics
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    • v.29 no.3_4
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    • pp.721-741
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    • 2011
  • In this paper we have considered a dynamical mathematical model of the sub-populations of potential smokers (non-smokers), smokers, smokers who temporarily quit smoking, smokers who permanently quit smoking and a class of smoking associated illness by introducing time dependent parameters and distributed time delay to acquire smoking habit. Here, we have established some sufficient conditions on the permanence and extinction of the smoking class in the community by using inequality analytical technique. We have introduced some new threshold values $R_0$ and $R^*$ and further obtained that the smoking class in the community will be permanent when $R_0$ > 1 and the smoking class in the community will be going to extinct when $R^*$ < 1. By Lyapunov functional method, we have also obtained some sufficient conditions for global asymptotic stability of this model. Computer simulations are carried out to explain the analytical findings. The aim of the analysis of this model is to identify the parameters of interest for further study, with a view to informing and assisting policy-maker in targeting prevention and treatment resources for maximum effectiveness.

Applicability of Theory of Planned Behavior to Smoking-Cessation Intention: An Empirical Analysis Using Structural Equation Model (금연의도에 대한 계획된 행위이론의 적용타당성에 관한 연구: 구조방정식 모형을 이용한 실증적 분석)

  • Yoo, Hye-Ra;Lee, Sun-Hae;Yoo, Tae-Kyun
    • Korean Journal of Health Education and Promotion
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    • v.26 no.2
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    • pp.49-61
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    • 2009
  • Objectives: The purpose of the study was to test the applicability of the Theory of Planned Behavior(TPB) to Korean adult smokers in order to obtain an enhanced understanding of their smoking-cessation intention and to establish strategies for effective smoking-cessation interventions at the community clinic. Methods: The data came from a survey that was conducted on adult male smokers who visited the smoking-cessation clinic at H community clinic in Korea from January to November in 2006 (N=434). Included in the survey were questions asking core variables and salient belief variables dictated by TPB. A structural equation model was established using TPB and data were analyzed to examine the applicability of the theory to the understanding of the structure of variables leading to intention. Results: The analysis of the structural model revealed that the study model was statistically significant(p<.001), suggesting the high validity of TPB in explaining the structure of the data. Among the relationships in the model, negative behavioral beliefs were not significant(p>.05), and negative control beliefs and subjective norm were significant(p<.05) but not as highly as other variables in the model(p<.001). Conclusion: TPB was useful in understanding smoking-cessation intention of smokers who visited community clinic to stop smoking. More specific strategies for counseling and education need to be developed to enhance attitude and perceived behavioral control (self-efficacy) toward smoking-cessation intention, such as emphasizing health benefits of quitting smoking, and eliciting values and life principles that can help increase the intention to stop smoking.

A Study on the Determinants of Smoking Demand of College Students

  • Lee, Seung-gil
    • International journal of advanced smart convergence
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    • v.11 no.3
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    • pp.162-169
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    • 2022
  • The purpose of this study is to estimate the determinants of the smoking demands of university students. For this study, a total of four four-year universities and two-year colleges in Seoul and provincial areas were surveyed. The model for analyzing the demand for smoking was applied with a double hurdle model, and determinants to participate in smoking in the first stage and the amount of smoking in the second stage were analyzed. According to the analysis results, the determinants to participate in smoking as a first stage are gender, grade, college type, major category, and parents' income, which have a statistically significant effect, and the analysis of the amount of smoking as a second has been analyzed as the variables that influence gender, grade, college location, major, parents' income type and income amount.

Factors affecting the Success of Smoking Cessation for Six Months in the Smoking Cessation Clinic of a Public Health Center Based on the Trans?theoretical Model (범이론적 모형을 기초로 한 보건소 금연클리닉 등록자의 6개월 금연성공요인)

  • Kim, Yun-Hee
    • Research in Community and Public Health Nursing
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    • v.20 no.4
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    • pp.433-442
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    • 2009
  • Purpose: The purpose of this study was to identify factors affecting on the successful cessation of smoking for six months in the smoking cessation clinic of a public health center. Methods: The subjects of this study were 568 adult smokers who had registered in the smoking cessation clinic of a public health center in B City. Data were analyzed through $x^2$-test, t-test, and logistic regression using the SPSS/WIN 12.0 program. Results: Identified factors affecting the successful cessation of smoking for six months were service type, number of counseling, alcohol problem, previous quit-smoking trial, dependency on nicotine, CO level in expiration at the first visit time, self-reevaluation, helping relationship, negative/affective situational temptation, and Cons. Conclusion: Trans-theoretical Model variables were confirmed as factors affecting the success of smoking cessation. Based on the results of this study, a smoking cessation program was suggested, which uses Trans-theoretical Model variables affecting smoking cessation for six months in a public health center.

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