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.
Objectives: This study is a descriptive research to investigate the predictors of intention to quit smoking in patients with acute coronary syndrome(ACS). Methods: A total of 192 ACS patients hospitalized for an angiogram during symptom management were conveniently recruited from a university hospital cardiovascular care unit. Data were collected from January to December in 2018 and were analyzed using binominal logistic regression. Results: The predictors of intention to quit smoking in patients with ACS were drinking(odds ratio[OR]=0.315, p=.006), experience of smoking cessation education(OR=0.325, p=.007), depression(OR=0.739, p<.001), and smoking-related self-efficacy(OR=1.091 p=.006). Conclusion: The findings suggest that the alleviation of depression and enhancement of smoking-related self-efficacy can prevent recurrence and enhance the treatment of ACS.
Purpose: This study attempted to identify influential variables on smoking temptation between groups: adolescent smokers and adult smokers. Method: A survey was conducted with 376 adolescent smokers in 4 high schools and 451 adult smokers in community settings in South Korea. Univariate statistics and regression were used for data analysis. Result: The most powerful predictor of smoking temptation for adolescent smokers was nicotine dependency. On the other hand, the most powerful predictor of smoking temptation for adult smokers was self-efficacy for smoking abstinence. In the high smoking temptation group, depression and nicotine dependency were the predictors for smoking temptation for adolescent smokers and nicotine dependency and pros for smoking were the predictors for smoking temptation for adult smokers. In the low smoking temptation group, cons for smoking and process of change for smoking abstinence were the predictors on smoking temptation for adolescent smokers and self-efficacy for smoking abstention and pros for smoking were the predictors on smoking temptation for adult smokers. Conclusion: There were different influential variables on smoking temptation according to age groups and level of smoking temptation. Smoking-cessation interventions should be tailored to the level of smoking temptation of the individual smokers.
The purpose of the study was to examine if individual characteristics and experiences related to smoking behavior identified from the literature were significantly associated with behavior-specific cognitions and affect in the same way as presented in Pender's Revised Health Promotion Model(Pender, 1996). The subjects selected for this study were 400 college students enrolled in more than 10 colleges located in Seoul and Kyunggi-Inchon province. According to the study results, personal factors (i.e., perceived health status, the past history of disease, and symptoms related to smoking) and related behavior (i.e., the degree of alcohol consumption, and exercise) are significantly associated with behavior-specific cognitions and affect (i.e., perceived barriers to smoking cessation, perceived self-efficacy, and perceived benefits of smoking cessation). The canonical correlation between two groups of variables was .59, and it turned out to be statistically significant. Thirty-four percent of variance of the relationship between two group of variables was explained by two canonical variates which turned out to be significant in the study results. The result could be interpreted from the view of psycho-social area as follows: overall, this study includes important variables which explain the association between two groups of variables.
Objectives: This study aims to investigate the attitude toward smoking and knowledge on smoking, self-efficacy, and self-esteem among high school students, and examine the moderate effects of gender on the differences in those variables between smoking and non-smoking students. As the result of investigation, it would suggest useful information for those who want to provide interventions of smoking prevention and smoking cessation to adolescents. Methods: Participants were 1,117 high school students (511 males, 584 females), whose mean age was 16.38 (SD=.87). To identify whether participants were smoking or not, bogus-pipeline was used. The data was collected with questionnaire include Smoking Attitude Inventory, General Self-Efficacy Scale, and Rosenberg's Self-Esteem Scale. A Pearson chi-square test and 2-way MANOVAs were performed with SPSS 11.5 for Windows. Results: With bogus-pipeline, one hundred thirty five (26.0%) of male students and 125(21.4%) of female students reported as they were smoking, while 115(22.2%) of male students and 78(13.3%) of female students reported as they were smoking at unidentified survey which was performed one week before bogus-pipeline. Results revealed that students who smoked had more positive attitude toward smoking and more knowledge on smoking than those who didn't smoke. Difference in knowledge on smoking between smoking and non-smoking students only existed in female students. Female students who smoked had lower self-esteem than female students who didn't smoke, but this difference didn't exist in male students. Conclusion: With the results of this study, it is considered smoking rates of adolescents surveyed with unidentified self-report questionnaires as underestimated. Health practitioners might consider female smokers' attitude toward and knowledge on smoking and self-esteem, especially for high school students. Despite of limitation of this study, it might help those who want to prevent initiation of smoking and give up smoking in adolescence.
The objective of this paper is to present the implementation and process evaluation of the first computer tailored program for smoking cessation among Romanian smokers. The program targeted adult smokers who declared the intention to quit smoking in the next six months. The intervention consisted of a letter tailored to several respondent characteristics: gender, cognitive variables (attitude, social influence, and self-efficacy), intention to quit smoking, goal and relapse prevention strategies (action and coping plans), and smoking behaviour. The first 80 participants entered into the program filled in a process evaluation questionnaire one month after the intervention. The results of our study confirmed that the participants had read and remembered the letter. Moreover, new for Romania, this approach was positively appreciated by the participant and the score received for the tailored letter was high. The opinions of the participants confirmed that the tailored letter provided information that was useful, trustworthy and relevant for the individual. At the same time, the participants appreciated the polite, easy to understand content of the letter. These data underlined the premises for continuing the program and for using the information and communication technologies for healthy lifestyle promotion among Romanian population.
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.
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
/
v.15
no.12
/
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.
The Journal of Korean Academic Society of Nursing Education
/
v.28
no.2
/
pp.147-155
/
2022
Purpose: The goal of this study was to see how flipped learning affected nursing students in South Korea who were enrolled in a quit smoking intervention education program. The flipped learning-based quit smoking intervention education program was developed to help nursing students implement the intervention. Methods: This quasi-experimental study was conducted using a pretest-posttest design. A total of 52 nursing students, divided into experimental and control groups of 26 each, participated between November and December 2021. The experimental group was instructed in the flipped learning-based quit smoking intervention education program over six sessions. In accordance with flipped learning, each session was composed of pre-class, in-class, and post-class sections. Results: Compared to the control group, the experimental group showed improved beliefs about the health benefits of quitting smoking, as well as positive attitudes and self-efficacy from the quit smoking intervention. The experimental group experienced the greatest increase in student-centered activities and student participation through flipped learning. Conclusion: These results indicate that the flipped learning method was effective in quit smoking intervention education for nursing students. Therefore, it is worthwhile to consider that a quit smoking intervention education program based on flipped learning be included in the regular nursing curriculum.
Journal of Korean Academy of Fundamentals of Nursing
/
v.15
no.1
/
pp.60-70
/
2008
Purpose: This study was done to identify types of smoking decision making-temptation in adolescents and characteristics related to type among student smokers. Method: Data collection was done from March to July. 2006. A survey was administered to 275 students in 13 high schools and 15 middle schools in Seoul, South Korea. To identify types and characteristics smoking decision making-temptation in adolescents, cluster analysis using the K-mean method was employed. Characteristics of the influential variables according to the identified types of adolescent smokers were evaluated using ANOVA. Results: Four types of smoking pattern in adolescents were identified: habitual craving (17.7%), nicotine dependence (35.8%), feeblemindedness (28.4%), and self control (18.1%). The score for nicotine dependency was higher in the habitual craving type than any other type (F=11.79, p=.001), while the score for self efficacy for smoking abstinence was higher in the self control type (F=23.06, p=.000). Conclusions: Findings from this study suggest that effective interventions for smoking cessation in adolescents require not only active implementation of nicotine replacement therapy but also development of individualized approaches for each person targeting change in the social environment that may lead to positive smoking decisional balance.
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