• Journal of Korean Public Health Nursing
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• v.33 no.3
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• pp.340-353
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• 2019

Purpose: This study was conducted to compare and analyze the smoking-related social-ecological factors affecting attempts to quit smoking by adolescents using tobacco cigarettes only and also those adolescents using tobacco cigarettes along with electronic cigarettes. Methods: This study, as secondary analysis research, used the raw data from the 14th Korea youth risk behavior survey 2018. The data was analyzed by frequency analysis, the Rao-scott χ²-test and logistic regression analysis when considering the complex sample's analysis. Results: On logistic regression analysis, during their first smoking period, intense physical activities and having friends who smoked were associated with significantly more attempts to quit smoking by cigarettes smokers, and their first smoking period and experiences of undergoing smoking cessation education were associated with significantly more attempts to quit smoking for dual smokers of both tobacco cigarettes and electronic ones. Conclusion: As a result of this study, we identified the need to differentiate different types of smoking cessation counseling and education according to the types of smoking in adolescents.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.8
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• pp.3587-3590
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• 2015

In spite of limited data regarding the safety or effectiveness of electronic cigarette introduced into the market as a healthier alternative to tobacco smoking, its popularity has increased enormously. E-cigarettes have penetrated the market rapidly owing to the elaborate marketing network and attractive marketing strategies. Stated advantages include the claim that they help quit smoking and produce less exposure than conventional smoking. The list of disadvantages is even more elaborate. While the majority of the studies supporting health claims and efficacy for quitting smoking are not scientifically sound, they are also challenged by studies providing contradictory results. Owing to the limited evidence on the potential advantages and disadvantages of e-cigarettes, the debate on their safety continues.

• Health Policy and Management
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• v.29 no.2
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• pp.138-145
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• 2019

Background: The purpose of this study is supposed to figure out the keyword network from 2009 to 2018 with social network analysis and provide the research data that can help the Korea government's policy making on smoking cessation. Methods: First, frequency analysis on the keyword was performed. After, in this study, I applied three classic centrality measures (degree centrality, betweenness centrality, and eigenvector centrality) with R 3.5.1. Moreover, I visualized the results as the word cloud and keyword network. Results: As a result of network analysis, 'smoking' and 'smoking cessation' were key words with high frequency, high degree centrality, and betweenness centrality. As a result of looking at trends in keyword, many study had been done on the keyword 'secondhand smoke' and 'adolescent' from 2009 to 2013, and 'cigarette graphic warning' and 'electronic cigarette' from 2014 to 2018. Conclusion: This study contributes to understand trends on smoking cessation study and seek further study with the keyword network analysis.

• Journal of Multimedia Information System
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• v.9 no.2
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• pp.137-144
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• 2022

This research aims to identify the relationship between visual perception and emotion by the types of fear responses elicited from warning images on cigarette packages as well as the effectiveness of the size of such images through questionnaires and eye-tracking experiments with twenty university students from the colleges based in Busan. The research distinguished and analyzed the warning images as rational appeals and emotional appeals by the degree of fear and disgust and the result concurred with the research conclusions of Maynard that people would naturally avoid eye contact when presented with a warning image on cigarette packages. Also, eye avoidance was highly identified with larger (75%) warning images. While the previous research mostly adopted the self-rated validation method, this research tried to make the methodology more objective by adopting both questionnaires and eye-tracking experiments. Through this research, authors contribute to finding effective warning images on cigarette packages in a way to increase public awareness of the dangers of smoking and discourage smoking. Further research is recommended to explore the effectiveness of using explicit images on cigarette packages by the types of smokers such as heavy smokers, normal smokers, and non-smokers.

• Journal of the Korean Society of Tobacco Science
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• v.28 no.2
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• pp.136-143
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• 2006

This study was conducted to determine the amount of unprotonated nicotine in cigarette mainstream smoke and to investigate its relationship to level of filter ventilation and machine smoking conditions. Unprotonated nicotine from TPM trapped on a Cambridge filter pad(CFP) was adsorbed by Carboxen/PDMS SPME fiber, thermally desorbed and determined by GC/MS. 2R4F reference cigarette, twelve commercial brands from the Korean market and five test cigarette samples, which had the same tobacco blend with different levels of filter ventilation, were analyzed for unprotonated nicotine. In commercial brands, the amount of unprotonated nicotine changed slightly depending on the pH values of smoke, and decreased as the tar level increased. filter ventilation in these commercial cigarettes was $28{\sim}80%$ and the higher filter ventilation increased relative unprotonated nicotine levels, but not significantly. However, in five test cigarettes with different filter ventilation$(0{\sim}70%)$, unprotonated nicotine levels increased almost linearly with the level of filter ventilation. Concentrations of unprotonated nicotine in mainstream smoke generally increased in order $HC\;<\;ISO\;{\leq}\;MDPH$ machine smoking conditions. The ratio of unprotonated nicotine to total nicotine among $cigarettes({\alpha}_{fb})$ increased in order RC < MDPB < ISO conditions. Concentrations of unprotonated nicotine varied with three machine smoking conditions.

• Restorative Dentistry and Endodontics
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• v.47 no.3
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• pp.27.1-27.14
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• 2022

Objectives: This systematic review and meta-analysis aimed to assess the association of cigarette smoking with the prevalence of post-endodontic apical periodontitis in humans. Materials and Methods: We searched through PubMed/Medline, Web of Science, and Scopus from inception to December 2020. Risk of bias was performed by using the Newcastle-Ottawa Scale for cross-sectional, cohort, and case-control studies. We performed the statistical analysis in Review Manager 5.3 (RevMan 5.3). Results: 6 studies met the inclusion criteria for qualitative and quantitative synthesis. Statistical analysis of these studies suggests that there were no differences in the prevalence of post endodontic apical periodontitis (AP) when comparing non-smokers vs smoker subjects regarding patients (odds ratio [OR], 0.68; 95% confidence interval [CI], 0.31-1.49; I2 = 58%) and teeth (OR, 1.71; 95% CI, 0.99-2.93; I2 = 72%). Conclusions: Our findings suggest that there was no association between cigarette smoking and post-endodontic apical periodontitis, as we did not find statistical differences in the prevalence of post-endodontic AP when comparing non-smokers vs smoker subjects. Therefore, smoking should not be considered a risk factor associated with endodontic failure.

• Research in Community and Public Health Nursing
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• v.15 no.2
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• pp.277-288
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• 2004

Purpose: This study was to provide basic information for preventing high school students from smoking by examining their actual smoking condition and their knowledge and attitude about smoking. Method: The subjects were 515 students selected from six(6), high schools in Jecheon. Data were collected using a questionnaire from the 1st to the 17th of December 2002. The author prepared the tool by modifying the scale of knowledge and attitude about smoking developed by Moon(2001). Data were analyzed with SPSS/WIN program using frequencies, percentages, $x^2$-test, t-test, ANOVA. Duncan test and Pearson's correlation coefficient. Result: 1. The percentage of ex-smoking students was 29.9% of male students and 18.6% of female ones. The percentage of currently smoking students was 23.9% of male students and 3.0% of female ones. The percentage of non-smoking students was 46.2% of male students and 78.4% of female ones, 2. There were not significant differences in smoking knowledge according to smoking status in male and female students. 3. There were significant differences in smoking attitude according to smoking status in male(F=32.70, p=.000) and female(F=11.15, p=.000) students. 4. In smoking status according to general characteristics, there were significant differences according to the type of school($x^2$=32.93, p=.000), grade($x^2$=11.91, p=.018), educational level of the father($x^2$=30.52, p=.000) and the mother($x^2$=14.23, p=.027), monthly allowance($x^2$=17.19, p=.028), harmony of family members($x^2$=15.23, p=.019), school life($x^2$=26.96, p=.00l) and school record($x^2$=30.24, p=.000). 5. In smoking status according to smoking-related characteristics, there were significant differences according to experience in cigarette purchase($x^2$=150.04. p=.000), experience in errands for cigarette($x^2$=20.00, p=.000), knowledge of cigarette price($x^2$=72.52, p=.000), close friends' smoking($x^2$=107.41. p=.000) and smoking of brothers and sisters($x^2$=16.97, p=.002). 6. There were significant correlation between knowledge and attitude about smoking in the whole students(r=.337. p=.000), ex-smokers(r=.324. p=.000), non-smokers(r=.369. p=.000) but there was not a significant correlation between knowledge and attitude about smoking in current smokers(r=.128. p=.30l). Conclusion: Smoking prevention education should considered students' smoking status. Current smokers need smoking prevention education aiming to change their attitude toward smoking in order for them to reduce smoking and to practice smoking cessation.

• Reproductive and Developmental Biology
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• v.33 no.4
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• pp.217-222
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• 2009

The purpose of this study is to evaluate the effects of alcohol or cigarette smoking on seminal parameters in a large group of mice model. Nine groups (n=20/group) of mice were treated intensive noxious materials that abdominal injection of 21% (v/v) of ethanol, cigarette smoke (10, 20, 30 minutes/day), and combination of ethanol and 30 minutes of smoking. In addition, vitamin C and selenium were also treated to mice exposed to combination of alcohol and smoking to identify the recovering effect. Sperm viability and motility were significantly decreased in either alcohol consumption or smoking exposed group, and combination of both materials have additive detrimental effects on seminal parameters. Mice groups that exposed to alcohol and smoking showed statistically significant decrease in motility and increase of static spermatozoa. Moreover, combination of both treatments showed cumulative effect in increase of static spermatozoa. Treatments of either vitamin C or selenium dramatically recovered detrimental effects of alcohol and smoking on seminal quality, although combination of both antioxidant molecules did not show any additive effect. In conclusion, detrimental effects of alcohol and cigarette consumption on sperm quality and motility were identified in mice model, and these detrimental effects can be compensated to uptake of anti-oxidant molecules.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.6
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• pp.2833-2839
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• 2016

Background: Tobacco use among youth is a major public health problem. Youth outside of formal school settings are often understudied but may be at increased risk. Materials and Methods: A descriptive cross-sectional study was carried out among 326 young people aged 15-24 years in four randomly selected motor parks in Lagos state. Interviewer-administered questionnaires were used to collect data. Results: The mean age of the respondents was $21.0{\pm}2.3yrs$. Many 252 (77.3%) dropped out before the end of the third year of secondary schooling. The majority were aware that active (78.2%), and passive smoking (77.3%) are harmful to health. Nearly two-thirds of the respondents disagreed with an outright ban of cigarettes (63.2%) and restriction of cigarette sales to persons below 18 years (67.9%) while 254 (66.8%) supported a ban on tobacco smoking in enclosed public places. One hundred and fifty (46.0%) respondents had experimented with smoking of which 106 (32.5%) had progressed to become current smokers. Half of the current smokers, 54 (50.9%), felt the need for a cigarette first thing in the morning. A multivariate analysis for smoking initiation, showed that for every increasing year of age, respondents were 1.08 times more likely to have initiated cigarette smoking; males and respondents who lived alone or with peers were 2.34 times and 1.77 times more likely to have initiated smoking respectively; those who consume alcohol and marijuana were 7.27 and 1.89 times respectively more likely to have initiated smoking while those who consumed alcohol were 6.17 times more likely to be current smokers.

• Journal of Preventive Medicine and Public Health
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• v.22 no.4 s.28
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• pp.528-541
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• 1989

The purpose of this study was to identify and measure the economic costs and benefits due to smoking in Korea. Cigarette smoking is a major cause of morbidity and mortality. In addition to the health risks of smoking, there are important economic consequences. A complete assessment of the economics of smoking requires evaluation of various health, economic, and intangible parameters, including benefits as well as costs of both the production and consumption of tobacco. In this article we focus on costs resulting from the health effects of smoking (expenditures for medical care and the value of productive output lost to morbidity, and premature mortality among smokers), since economic benefits from tobacco industry is offset by expenditures for purchasing tobacco. Two distinct methodologies will be applied to measure the economic costs of smoking cigarette, the human capital and willingness-to-pay approaches. This article used the former method. In 1985, total economic losses due to smoking was estimated as 505.7 billion won, which was composed of morbidity losses 64.9 billion won mortality losses 429.1 billion won and indirect costs 11.7 billion won.