• Journal of Preventive Medicine and Public Health
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• v.44 no.4
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• pp.176-184
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• 2011

Objectives: Understanding recent trends in cigarette smoking among adolescents is important in order to develop strategies to prevent cigarette smoking. The aim of this study was to compare recent trends in cigarette smoking for adolescents living in rural areas, small towns and metropolitan cities in Korea. Methods: The raw data from the Korea Youth Risk Behavior Web-based Survey (KYRBWS) from 2005 to 2009 were used. Data were analyzed by using the method of complex survey data analysis considering complex sampling design. Logistic regression models were used to evaluate significant linear time trends in cigarette smoking. The indicators of cigarette use behaviors were 'current smoking rate', 'frequent smoking rate', 'heavy smoking rate' and 'smoking experience rate before 13 years of age'. All analyses were conducted according to gender. Results: Statistically significant increasing trends in current smoking rate and frequent smoking rate were observed and borderline significant increasing trends in heavy smoking rate were shown among rural boys. Among metropolitan city boys, statistically significant increasing trends were also seen for frequent smoking. Statistically significant decreasing trends in current smoking rate were observed among small town and metropolitan city girls. Smoking experience rate before 13 years of age for rural girls decreased significantly. Conclusions: Cigarette smoking prevalence among adolescents in the rural areas has increased in the last five years especially among boys. Our findings suggest that anti-tobacco program for adolescents should be conducted primarily for those in rural areas.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.sup1
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• pp.17-23
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• 2016

The aim of this paper is to report the rate of current and ever cigarette smoking and explore correlates of current cigarette smoking among adolescents aged 13-15 in Viet Nam. This analysis was derived from GYTS survey, which comprised of 3,430 adolescents aged 13-15, conducted in 2014 in 13 cities and provinces of Viet Nam. We calculated the weighted rates of current and ever cigarette smoking and reported patterns of smoking behavior. We also performed logistic regression to explore correlates of current cigarette smoking behavior. The weighted rate of ever cigarette smoking was 9.5% (95% confidence interval (CI): 8.5 %-10.5%), in which the weighted rate among males (15.4%; 95% CI: 13.6%-17.0%) was higher than that among females (4.2%; 95% CI: 3.3%-5.1%). The weighted rate of current cigarette smoking was relatively low at 2.5% (95%CI: 2.0%-3.0%) with higher weighted rate among males (4.9%; 95% CI: 3.8%-5.9%) compared to the corresponding figure among females (0.2%; 95% CI: 0.0 %-0.5%). Current cigarette smoking was significantly higher among males than females, in students aged 15 versus 13 years old, and in students who had several or all close friends smoking and students with daily observation of smoking at school. For greater smoking reduction outcomes, we recommend that tobacco interventions for adolescents should consider targeting more male students at older ages, establish stricter adherence to school-based banning of cigarette smoking, engage both smoking and nonsmoking adolescents and empower adolescents to resist peer smoking influence as well as changing their norms or beliefs towards smoking benefits.

• Journal of the Korean Society of School Health
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• v.4 no.2
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• pp.193-215
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• 1991

This study is aimed at providing basic information applicable to setting up the education programs and strategies to prevent smoking among high school students by analysing smoking behavior and influencing factors. The samples consisted of 814 students, 557 parents and 362 teachers selected randomly from 8 high schools, one from each school district in Seoul. Date Analyses were made through Chi-Square test, Factor Analysis, One Way ANOVA, Multiple Regression, Correlation. SPSS/$PC^+$program was utilized. Smoking behavior (continuous smoking, re-smoking, ex-smoking, never smoking, daily smoking, occasional smoking) were used as dependent variables. Influencing factors (male students, habits, attitudes and knowledge toward smoking, home life, school life, juvenile delinquency, friendship, demographic parent's and teacher's recognition toward male students smoking) were used as in dependent variables. The major findings of the study are as follows : 1. The total smoking rate occupies 41.1% whereas the continuous smoking rate stands at 19.2%, re-smoking rate 9.5%, ex-smoking rate 12.4% and never smoking rate 58.9%. 2. The total smoking rate among high school students is significantly correlated with their monthly expenditures and type of school (p<0.001). The continuous smoking rate also shows the same tendency. As the length of butt get shorter, the current smoking rate increase. The duration of smoking is in proportion to its continuity. The major motive of smoking is curiousity whereas that re-smoking is to follow friend's behavior. The study shows that peer pressure is the most powerful factor influencing smoking behavior of students. Friends and fellow students encourage to pick up smoking and resume smoking even alter one stops smoking. 3. The correlationship between favorable attitudes toward smoking and the current smoking rate and its continuity is statistically significant(p<0.05, p<0.01, p<0.001). 4. The stability and harmony of family life and the current smoking rate show negative correlationship. The daily smoking amount of father is in proportion to the continuity of students' smoking. When parents are in favor of smoking, it is more likely that the experimental smoking rate increase the smoking rate increases, and vice versa. The more acceptable attitudes toward smoking among siblings is also one of the factors to increase the smoking rate and continuity (p<0.001). The more lenient the attitudes of parents toward their children's association with smoking friends, the higher the smoking rate. When students have difficulties in adjusting to school life, it is more likely that the current smoking rate and continuity increase. 5. The continuity of smoking and friendship are significantly correlated (p<0.05, p<0.01, p<0.001). 6. The continuity of smoking and juvenile delinquency are significantly correlated (p<0.001). 7. The difference in attitudes and smoking reasons of parents and students is significantly correlated to different smoking behavior (p<0.01, p<0.001). While smoking knowledge does not significantly influence their smoking behavior, it is noted that in the case of teachers, smoking reason (p<0.05), attitudes (p<0.001) and knowledge (p<0.05) strongly influence their smoking behavior. 8. There is a significantly correlation among the smoking reasons, attitudes and knowledge between students and parents(p<0.001). As for the correlationship between regularity and smoking amount and other influencing factors, the daily smoking amount is in proportion to depth of inhalation and duration of smoking, negative attitudes of parents unstability of family, dissatisfaction of family members, juvenile delinquency, strong smoking reasons and positive attitudes towards smoking. 9. In the case of daily smokers depth of inhalation is significantly correlated to the duration of smoking, juvenile delinquency, acceptability of parents, dissatisfaction of family members and smoking reasons. The duration of smoking motives is significantly correlated to juvenile delinquency, high acceptability of parents, strong smoking motive and positive attitudes toward smoking. 10. It is noted that 40% of parents and 30% of teachers do not recognize the significant correlationship between and the relative influencing factors mentioned above.

• Journal of Korean society of Dental Hygiene
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• v.10 no.5
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• pp.917-924
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• 2010

Objectives : The objective of this research was to investigate the smoking state of students in Y university, located in Youngdong-gun, Choungbuk. Methods : This research was conducted toward 311 number of students in the university. The questionnaire basically consists of the status of smoking, the behavior of smoker and non-smoker. Results : 58.2% of the male respondents were current smoker, but 72.4% of the females were non-smoker. 58.2% of the current smokers were 22 to 25 aged group. The highest rate of time to begin with smoking was in 15 to 18 years old and the most of people consumed 11 to 20 pieces of cigarettes per day. 48.9% of the students have an experience to keep no smoking more than one month. There were reverse correlation(r=-.335) between the status of smoking and sex, and positive correlation(r=.264) between the status of smoking and an age. Of the people experiencing non-smoking, 55.3% were smoking 'everyday' and 44.7% were 'sometimes'. The biggest part of the reason why stopped smoking was for 'the advices of other people'(25.5%), and 'Harm to health' and 'Social atmosphere of non-smoking'(21.3%) were following. Conclusions : In the university students, current smokers among male students were still high smoking rate. Therefore Dental Hygiene students in the same University have to provide the quit smoking education and oral health care methods for current smokers.

• Korea Journal of Hospital Management
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• v.28 no.1
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• pp.24-36
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• 2023

Purposes: The purpose of this study was to analyze the factors associated with current smoking status in Wonju-si and Chuncheon-si, and to study the cause of difference in smoking rates between these two regions. Methodology: Data was from the National Health Insurance Service database from 2019 to 2020. Current smoking status was based on the response to the health examination questionnaire. Logistic regression analysis was conducted to identify factors associated with current smoking status. The study included 207,307 individuals from Wonju-si and 173,698 individuals from Chuncheon-si. Findings: The smoking rate of Wonju-si was 19.83%, and Chuncheon-si was 18.20%, showing a difference in the smoking rates between the two regions. Logistic regression analysis found that men, those aged 40-49, being a self-employed insured, a medical-aid beneficiary, having a lower income, working in construction, transport, storage, communication, or manufacturing industries, having a high-risk drinking level and being underweight were significantly associated with a higher likelihood of smoking(p<0.05). Additionally, having a chronic disease was associated with a lower likelihood of smoking in the case of Chuncheon-si(p<0.05). Practical Implication: This study found the differences of factors associated with smoking rates between the two regions and could provide implications for establishing intervention programs or policies that could contribute to lowering the smoking rate in areas with high smoking rates.

• The Journal of Korean Academic Society of Nursing Education
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• v.13 no.2
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• pp.266-276
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• 2007

Purpose: The purpose of this study was to identify variables related to smoking behaviors (never smoked, former smoker, current smoker) among college students on the basis of the PRECEDE model. Method: Data were collected from 327 college students in Chungbuk Province from May to June 2006 using a self-reported questionnaire. Result: The rate of current smokers was 19.0%. The rate of current smokers in male students (41.1%) was significantly higher than that of female students(8.3%). Also, there were significant differences by general characteristics such as major, academic achievements, satisfaction with major and alcohol consumption. Number of smokers among five close friends was 1.72 and it showed significant differences among different gender, majors, levels of satisfaction with majors and alcohol consumption. In discriminant analysis, discriminant variables on smoking behavior were the number of smokers among close friends, the referent persons' responses about smoking and subject's belief about smoking. Conclusion: These research findings suggest that we can enhance the prevention of college students' smoking by strengthening the related factors such as enforcing a non-smoking environment and strengthening college health education strategies of non-smoking including a negative belief of smoking and the hazard of passive smoking.

• Korean Journal of Health Education and Promotion
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• v.12 no.2
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• pp.120-138
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• 1995

In order to find smoking status and its related factors for female students, a survey was conducted for 1,045 female students of a women's university in Seoul from 22nd of May to 18th of June, 1995. The results were as follows: 1. Of the 1,045 respondents, 7.4% of them were current smokers and 20.6% of them were ex-smokers. The rate of smoking by the major field of study was 18.5% in art and physical education, 10.6% in liberal art and social science, 1.9% in natural science, and 1.2% in medical science. The rate of smoking by the grade was 4.1% in the freshman, 5.9% in the sophomore, 10.9% in the junior, and 10.0% in the senior grade. 2. 7.2% of respondents experienced first smoking at junior high school, 16.8% at senior high school, 4.1% after high school, and 69.2% at college. 3. The major motivation to start smoking was 'curiosity'(57.9%), 'releasing stress'(21.6%), and 'temptation from friend or senior'(12.0%). 4. The first smoking place was 'entertainment place'(49.6%), 'own room'(20.5%), and 'school '(11.3%). And the first smoking companion was 'friend'(62.3%), 'alone'(19.9%), and 'senior or junior'(5.1%). 5. The average quantity of a daily smoking was 6.16±5.29 cigarettes in current smokers and 31.2% of them had experience to quit smoking at least one or more time. 6. Most of the reasons to quit smoking in ex-smoker were due to 'bad taste '(60.5%), 'health concern'(27.4%) and 'religion'(2.3%). 7. Current smoker and ex-smoker had more positive attitude for the female smoking than nonsmoker. And 76.7% of nonsmokers answered that they would not smoke in the future. 8. Most correspondents(89.8% of nonsmoker, 83.7% of ex-smoker, 80.5% of current smoker) strongly supported the antismoking movement. 9. The major information source in smoking were from 'radio, TV'(51.0%), 'newspaper, magazine'(38.8%) and 'school'(7.7%). 10. The multiple logistic regression analysis showed that the related factors for smoking status were satisfaction of home life, coffee intake, alcohol drinking, sister's smoking, girl friend's smoking, and knowledge about smoking.

• Korean Journal of Health Education and Promotion
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• v.4 no.2
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• pp.71-94
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• 1987

Aiming to investigate nutrient intake and food habits influenced by smoking for female college students in Seoul, the questionnaire survey for 763 students was carried out. The results of the survey was summarized as follows: 1. 9.7% of students were found as the current smokers and 18.9% of students had experienced of smoking, however stopped smoking at present(experienced smokers) respectively. 2. In the current smokers, they started smoking with friends at the first (58.9%), alone (27.4%), and with seniors (11.0%) respectively. The psychological frustration (52.2%), curiosity (28.4%) respectively motivated smoking behavior at the beginning. The most had smoking usually at the entertaining place such as restaurant. Only 6.4% of current smokers consumed more than 10 cigarettes daily, and 55% of current smokers inhaled deeply into the lung while they smoked. Even 26% of current smokers explained their intention of not smoking after marriage, and also about 95% of current smokers explained to stop smoking in the case of pregnancy. 3. It was found as the fact that the school age, economic status, and parental smoking affected their prevalence of cigarette smoking. The higher their schoolage, the higher smoking showed; the more their money spent and the lower father smoking showed ; the more their money spent and the lower father's educational level, the higher smoking showed; the more drink, the higher smoking showed. 4. The value evaluation of cigarette smoking also affected the prevalence of cigarette smoking. Of the students recognized advantageous parts of smoking, the prevalence of cigarette smoking was higher. 5. Logistic regression analysis was to determine the most effective factor which determined prevalence of cigarette smoking. The most effective factor was value evaluation of cigarette smoking. The order of effective factors was health value of cigarette smoking, their drinking capacity and the value evaluation of change in body weight due to smoking and smoking's advantages. 6. Cigarette smoking showed signs of affecting to food habits. In the case of smoking, the missing rate of taking regular meals was higher, and the frequency rate of taking regular meals was lower. Also, smokers took meals less regularly. Even the smokers took less candy than non-smokers, however, smokers liked to take more coffee, alcohol, and hot tasting food than non-smokers. 7. Smoking seemed to affect the nutritional status. It was found that smokers took many kinds of nutrients insufficiently, therefore their calory intake by age was not reached to RDA.

• Health Policy and Management
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• v.27 no.4
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• pp.276-283
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• 2017

Background: Electronic cigarette (e-cigarette) has rapidly increased. Even though e-cigarettes are actually not smoking cessation alternative supplies, some people perceive them as smoking cessation alternative supplies. The purpose of this study is to identify the relationship between e-cigarette experiences and smoking cessation behaviors among Korean adults. Methods: Cross-sectional data was collected from 7,550 participants of Korea National Health and Nutrition Examination Survey in 2014. A total of 867 participants who were current smokers were enrolled in this study. Multi-variable logistic regression analysis were performed to identify the relationship between the smoking cessation behavior and the e-cigarette experience. Results: The e-cigarette experience rate of current smokers was 22.1%. The e-cigarette experience rate was higher in groups with the higher income, the higher education level, and the white collar jobs. Smokers with experience of smoking cessation (odds ratio [OR], 3.03; 95% confidence interval [CI], 1.67 to 5.76) and with intention to smoking cessation in the future (OR, 1.59; 95% CI, 1.05 to 2.43) were more likely to experience the e-cigarette. Especially, smokers who used smoking cessation alternative supplies were more likely to experience the e-cigarette than smokers who did not use it (OR, 2.87; 95% CI, 1.59 to 5.18). Conclusion: We confirmed that e-cigarette experiences were associated with smoking cessation experience, smoking cessation plan, and use of smoking cessation aid among smokers in Korea. Additional studies should be continued to confirm whether e-cigarette are continuously influencing the smoking cessation of current smokers in South Korea as one of the smoking cessation alternative supplies.

• Journal of Preventive Medicine and Public Health
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• v.39 no.4
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• pp.339-345
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• 2006

Objectives: This study (a) investigated the rate of smoking cessation sucess for current male smokers, and (b) identified the factors that are associated with the smoking cessation success. Methods: Data were collected from four follow-up surveys of 700 current male smokers. The follow-up period was from December 2004 to June 2005. Success of smoking cessation was defined as "maintaining a smoking cessation status for six months". The demographic and socioeconomic factors included age, the household income level and, occupation. The smoking behavioral factors were composed of the amount of smoking, the duration of smoking, the age of initiating smoking, the willingness to quit, the frequency of trying to quit smoking and the smoker's attitude toward the anti-smoking policies. Results: The proportion of quitters increased from 6.6% to 11.0% during the follow-up period. The majority of quitters answered that the increase of tobacco price acted as cue to achieve smoking cessation. The age-standardized experience and success rate of smoking cessation were 16.0% (95% C.I.=13.0% to, 19.0%) and 4.5% (95% C.I.=3.0% to, 6.0%), respectively. On the multivariate analysis, success for smoking cessation was associated with the willingness to quit smoking, low prior tobacco consumption, and agreement on the tobacco price increase. Conclusions: The results of this study suggest that the recent anti-smoking policies provided an opportunity to quit smoking. The results of this study can be used to establish evidence for further anti-smoking policies.