Park, Jinju;Lim, Min Kyung;Yun, E Hwa;Oh, Jin-Kyoung;Jeong, Bo Yoon;Cheon, Yejin;Lim, Sujin
Journal of Korean Medical Science
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v.33
no.47
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pp.302.1-303.10
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2018
Background: A considerable amount of research has shown that knowledge and appropriate awareness are essential for encouraging positive behaviors and promoting health. In Korea, the roles that behavioral changes play in the prevention of cancer have been an important issue since the introduction of the 10 codes for cancer prevention in 2006. Thus, the present study investigated the associations of tobacco-related knowledge with awareness and attitudes towards positive smoking-cessation behaviors. Methods: The present study analyzed data from the 2010 national questionnaire survey (n = 1,006). This study evaluated sociodemographic characteristics, smoking status, self-rated health status, health-related interests, and the accuracy of 12 tobacco-related statements to determine knowledge level and to investigate its impact on awareness and behaviors related to smoking. These parameters were examined and staged using the Precaution Adoption Process Model. Results: A higher level of tobacco-related knowledge was significantly associated with a positive attitude towards smoking cessation (5-8 correct answers: odds ratio [OR], 2.53; 95% confidence interval [CI], 1.57-4.08; ${\geq}9$ correct answers: OR, 3.90; 95% CI, 2.22-6.82; reference: ${\leq}4$ correct answers). Interestingly, among current smokers, only those who correctly responded to ${\geq}9$ of 12 tobacco-related statements were significantly associated with a positive attitude towards smoking cessation. Conclusion: This study found that having a higher level of tobacco-related knowledge had a significant impact on positive attitudes towards smoking cessation. This suggests that there is a need to disseminate appropriate knowledge to the general population to encourage positive attitudes and promote healthful behaviors in terms of smoking.
Objectives: The purpose of this study was to investigate the factors contributing to intentions of quitting smoking, and use of smoking cessation services for daily smokers, and willingness of using smoking cessation services by the public health centers. Method: A total of 1,403 cases of male smokers were collected by a telephone survey. The age of smokers in the study ranged from 20 to 59. Socio-demographic variables, cigarette consumption behaviors, quit attempts and intentions of quitting smoking, and use of clinical services provided by the local public health centers were analysed using SPSS program. Result: About 77.8% of the smokers consumed a pack of cigarettes or less per day. About 20% of the smokers have used quit aides such as nicotine patch, gum, quit cigarettes, and acupuncture. These variables were associated with prior quit attempts in the past 1 year. Older age, degree of addiction(less time spent without smoking after a smoker gets up in the morning), prior quit attempts, panning to quit in one month, doctor's advice to quit were the major predictors of using the smoking cessation services provided by the public health centers. Conclusion: Health educators have to entice physicians to give smoking cessation advice to smokers, and have to provide many different types of educational programs to help quitting smoking.
Journal of Korean Library and Information Science Society
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v.52
no.1
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pp.279-300
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2021
The present study aimed to investigate the information needs and information seeking behavior of consumers who attempted to quit or maintain the ceasing of smoking and analyze the effects of the health information obtained at different stages. In particular, we examined how consumers use mobile health applications(health apps) as aids to change unhealthy behaviors and how their use of health apps influence health behavior changes. For 7 months from December 2017 to July 2018, the researchers observed changes in smoking behaviors of college students who use smoking-cessation apps and conducted face-to-face interviews. Regarding the effects of smoking-cessation apps, the participants in the action stage reported that they were encouraged to quit smoking by visualized information such as the number of days of smoking cessation, change of health status, and the saving of money due to smoking cessation. The participants in the maintenance stage highlighted that smoking cessation apps were helpful in recognizing the importance and achievement of smoking cessation by sharing experiences and social support with other attempters in the app community. The study provided theoretical implications in the field of information behavior in that it identified the particular types of information needs and information-seeking behavior of the consumers who were using mobile apps in their behavior modification process. In addition, those findings can contribute to designing the contents of the smoking cessation apps that reflect the information needs of those who attempt to cease smoking and further suggest practical insights to health information services that promote effective information intervention strategies in health behavior change.
The purpose of this study is to investigate the changes in smoking rates and smoking cessation plans before and after the cigarette price increases in 2015. Therefore, based on the National Health and Nutrition Survey, this study analyzes the correlation of the change in smoking rate and cessation plans with sociological variables (gender, age, income quintile, occupation, education level, hypertension, diabetes) and health behaviors (drinking, stress perception, obesity) in 2013 before the cigarette price increases and in 2015 and then in 2017. Results indicated that the smoking rate in 2013 was 23.3%, the smoking rate in 2015 was 20.5%, and the smoking rate in 2017 was 21.0%, indicating that the smoking rate decreased compared to before the cigarette price was raised. Among the sociological variables, the cigarette price increases showed a difference in the smoking rate of income, occupation, and education level, and health behavior was found to have no significant effect on smoking rate. In addition, the cigarette price increases showed a temporary effect on the increase in the smoking cessation plan, but the increase in the smoking cessation plan did not necessarily lead to decrease the smoking rate. Therefore, in the future, efforts will be needed at the national level to provide customized smoking cessation programs by gender, age, and social factors so that the smoking cessation plan can lead to decrease the smoking rate. In addition, Research on health behaviors that were not identifited in this study should also be conducted. We hope that this study will help the prediction of the impact of smoking rate in case the price increases policies are considered or implemented.
The Journal of Korean Society for School & Community Health Education
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v.19
no.1
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pp.1-11
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2018
Objectives: The purpose of this study is to provide basic data on the use of electronic cigarettes by identifying the relationship between smoking and smoking behavior and the use of electronic cigarettes. Methods: This study used data from 8,150 participants of the 'Korea National Health and Nutrition Examination Survey (KNHANES)' s 7th (2016). In this study, 1,051 people currently smoking were analyzed. The number of people using electronic cigarettes was 74 among current smokers. Results: The age of onset of smoking was 20.46 years old in the group not using electronic cigarette, and the age of starting smoking was 18.12 years old in the group using electronic cigarette(p<.001). In the education level, the current use of electronic cigarette was 1.82 times higher in high school graduates than college graduates(p<.005). The reason for using electronic cigarette was 4.32 times higher than other reasons for using electronic cigarette for the purpose of smoking cessation(p<.005). Conclusions: For the smoking cessation society, education for the electronic cigarette is needed from the adolescence and selective management for the people who use the electronic cigarette for the purpose of smoking cessation is needed.
Purpose: The purpose of this study is to find taxi drivers' smoking behavior, self-efficacy and expectation level of success in smoking cessation. It will provide useful information for developing nursing interventions in health promotion programs. Method: The subjects of this study were 271 taxi drivers in Seoul and its metropolitan area. Data were collected using a self-reported questionnaire asking smoking history, smoking behaviors, health problem, stages of change for smoking cessation, self-efficacy and the expectation level of success in smoking cessation. Data were analyzed through descriptive statistics. Pearson's correlation, Mann-Whitney U test, Kruskal-Wallis test and Cronbach's a. Results: Of the taxi drivers, 83.8% were current smokers. Stages of change were as follows: 45.8% were in the precontemplation stage, 26.2% in the contemplation stage, 13.7% in the maintenance stage, 12.2% in the preparation stage and 1.5% in the action stage. In addition. 20.3% of the subjects reported health problems such as hypertension, heart disease, diabetes mellitus and respiratory disease. The expectation level of success in smoking cessation was positively related with self-efficacy. There were statistically significant differences in the expectation level of success in smoking cessation according to the number of cigarettes per day and nicotine dependency. In addition. there were statistically significant differences in self-efficacy according to the number of cigarettes per day, duration of smoking (years) and nicotine dependency. Conclusion: The results of this study suggest that taxi drivers' health problems and smoking rate were serious. Therefore more systematic health promotion programs for smoking cessation should be developed and executed by health care specialists at individual taxi companies.
Purpose: The purpose of this study was to investigate differences in smoking related characteristics and psychological features of coronary artery patients by the stages of change in smoking cessation behaviors. Method: Subjects for this survey were 97 patients who were smoking when doctors diagnosed them to have coronary artery diseases. Result: Subjects were distributed 21.6% in precontemplation stage, 24.7% in contemplation stage, 17.5% in preparation stage, 19.6% in action stage, and 16.5% in maintenance stage respectively. The numbers of previous attempts to quit smoking of subjects in precontemplation stage(mean=3.00, SD=3.71) and contemplation stage(mean=2.63, SD=2.32) were significantly lower than that of subjects in preparation stage(mean=5.82, SD=6.20). Benefit scores of subjects in maintenance stage were significantly greater than those of subjects in precontemplation stage. Self-efficacy, barriers, seriousness, and nicotine dependency were not significantly different by the stages of change. Number of signs and symptoms related to smoking which subjects were experiencing were not significant by the stages of change too. Conclusion: Future intervention programs for smoking cessation should be focused on the strategies to enhance the realization of health benefits that patients might acquire from smoking cessation.
Objectives: The aim of this study was to examine factors related to smoking behavior, and to develop multilevel communication strategies for smoking cessation. Methods: This paper reviewed theories and empirical findings with currents ecological models to develop communication strategies. Theory comparison was also performed to identify important mediators in the process of smoking cessation. Results: Factors that have been identified to influence smoking behavior ranges from individual perception, attitudes and self efficacy toward smoking to organizational norms, regulations, community capacity, media advocacy and public smoking regulation policy. In order to address these multi-level determinants of smoking behavior, objectives and strategies for smoking cessation intervention were developed utilizing ecological perspectives to cover intrapersonal, interpersonal(mainly family member and peers), organizational and community/public policy level factors. Conclusion: Multilevel approaches have advanced the existing knowledge on determinants of health behaviors. New direction of research focusing on testing multilevel intervention approaches should be expanded to inform the efficacy of applying social ecological models to health behavior change process.
Objectives: Young adulthood represents a critical developmental period during which the use of tobacco may begin or cease. Furthermore, differences in smoking behaviors between younger (aged 18-24 years) and older (aged 25-34 years) young adults may exist. This study aimed to characterize patterns related to current smoking in younger and older young adults. Methods: This study used data acquired from the Sixth Korea National Health and Nutrition Examination Survey conducted from 2013 to 2014. A total of 2069 subjects were categorized as younger (712 subjects) and older (1357 subjects) young adults. The chi-square test was used to assess the relationships between smoking status and socio-demographic, health-related, and smoking-related factors. Multivariable logistic regression models were constructed to assess the factors affecting current smoking in these age groups. Results: The current smoking prevalence was 18.3% among the younger young adults and 26.0% among the older young adults. Sex, education level, occupation, perceived health status, alcohol consumption, and electronic cigarette use were related to current smoking in both age groups. Secondhand smoke exposure at home and stress levels showed significant relationships with smoking in younger and older young adults, respectively. Conclusions: Strong correlations were found between the observed variables and smoking behaviors among young adults. Determining the factors affecting smoking and designing interventions based on these factors are essential for smoking cessation in young adults.
Objectives: This study was performed to develop a smoking prevention program for Korean high school students, and to evaluate the effects of the program. Methods: A smoking prevention program, composed of five-session curriculum, was developed by modifying several smoking prevention and cessation programs based on the Social Influence Model. The program was applied to the freshmen of a technical high school. We surveyed with a questionnaire one week before education, one week after education, and two months after education. The number of participants for data analysis were 282(181 males, 101 females). Among those, 162(97 males, 65 females) students were allocated to the education group, and the other 120(84 males, 36 females) students were allocated to the control group. The effect of education was analyzed by multiple logistic regression analysis adjusted by potential confounders. Results: Among smokers, those who had education were more likely to quit smoking (OR=2.99, 95% confidence interval(CI) 0.84-10.64), and to decrease smoking frequency(OR=2.29, 95% CI 0.95-5.53) in borderline significance one week after education. However, the effect of education disappeared two months after education. The effect of education was significant(OR=9.11, 95% CI 3.22-25.76) for the increase of smoking cessation intention one week after education, and it persisted until two months after education(OR=2.94, 95% CI 1.18-7.35). Education was also a significant predictor(OR=1.97, 95% CI 0.89-4.37) for the increase of smoking cessation stage one week after education and it persisted(OR=6.39, 95% CI 2.42-16.86) after two months. Among non-smokers, those who had education were more likely to decrease smoking intention one week after education(OR=4.71, 95% CI 1.63-13.58). However, the statistical significance of education disappeared two months after education. Conclusions: The results showed that the smoking prevention program developed in this study changed smoking behaviors immdeiately after education even though the effect did not persist. However, this program was successful in increasing smoking cessation intention and stage of smoking cessation among smokers.
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