This study conducted descriptive literature review on adolescent smoking and the related factors to realize significance of adolescent smoking onset in Korea and to identify risk factors of smoking incidence. Korean adolescent smoking status was generated based on the cumulated data of the Korean Association of Smoking and Health. Risk factors of adolescent smoking were identified based on 18 studies written in English, with cross-sectional research design and published as a peer-reviewed journal article between 1994 and 2003. The results were as follows. 1. Korean adolescent smoking rate was the highest among OECD affiliated countries; in particular, male adolescent smoking incidence was very serious. 2. Risk factors related to smoking of adolescent population were personal factor, friend factor, family factor, and mass-media factor. Demographic characteristics, attitudes on smoking, and willingness of smoking, and health behaviors were selected as personal factor of smoking. 3. Best friends smoking was a strong factor of students' smoking set. Prevalent popularity of smoking in peer-group allowed students to feel free to smoking. 4. Concerning family factor related to smoking status, parents' smoking and sibling's smoking were significant indicators of adolescent smoking status. 5. Seeing smoking behaviors and scenes through films, TV shows, drama, and advertisement was a significant risk factor of adolescent smoking status.
This study intends to figure out the variables affecting the degree of female undergraduates' perceived risk of smoking and utilize them as foundational data for educating them to quit smoking. Thereupon, it conducted a self-administered survey from May 18 till 25 of 2009 to 231 female undergraduates attending S University located in Gyeonggi-do. The study tool contains 19 items of general characteristics and 8 of the degree of perceived risk of smoking. The data collected were analyzed by SPSS program, and the following results were gained. 1. According to the result on the degree of female undergraduates' perceived risk of smoking, the degree was shown high as the average was 4.32 among the perfect score of 5; thus, the degree of perceived risk of smoking was high. 2. In terms of the household economic level, female undergraduates with the lower economic level indicated the higher degree of perceived risk of smoking. There existed significant difference by their economic level (F=7.14, p<.01). 3. In regard of whether the female undergraduate smokes or not, the non-smoker perceives the degree of risk of smoking more highly than the smoker does; there is significant difference by whether they smoke or not (t=-2.43, p<.05). 4. About the number of friends who smoke, female undergraduates with one smoking friend show the highest degree of perceived risk of smoking. Those haying three or more smoking friends indicate the low degree of perceived risk of smoking. There exists significant difference by the number of smoking friends they have (F=3.14, p<.05). 5. According to the degree of perceived risk of smoking by their school life satisfaction, the female undergraduates expressing 'dissatisfaction' show the highest degree of perceived risk of smoking while 'satisfaction' indicates the average level. This was statistically significant difference (F=4.81, p<.01). Therefore, it is thought that it will be necessary to develop programs based on this research which can allow female undergraduates to team the importance of quitting smoking and actively participate in the education for it.
Background: Smoking is a primary risk factor for cancer development. While most research has focused on smoking cigarettes, the increasing popularity of shisha or water pipe smoking has received less attention. This study measured the prevalence and risk factors for shisha and cigarette smoking and related knowledge. Materials and Methods: This cross-sectional analytical study was conducted in Shah Alam, Malaysia. Participants aged ${\geq}18years$ were selected from restaurants. Data regarding demographic variables, smoking patterns, and knowledge about shisha smoking were collected in local languages. Logistic regression was performed to assess risk factors. Results: Of 239 participants, 61.9 % were male and 99.2% revealed their smoking status. Some 57.4% were smokers: 50.7% only cigarettes, 5.9% only shisha and 42% both. Mean age of starting cigarette smoking was $17.5{\pm}2.4years$ and for shisha smoking $18.7{\pm}2.0years$. In a univariate model, male gender, age 33-52 years and monthly income > MYR 4,000 increased the risk and unemployment and being a student decreased the risk. In a multivariate model, male gender increased the risk of smoking, while being a student decreased the risk, adjusting for age and income. The perception of shisha being less harmful than cigarettes was present in 14.6% and 7.5% had the opinion that shisha is not harmful at all, while 21.7% said that it is less addictive than cigarettes, 39.7% said that shisha did not contain tar and nicotine, 34.3% said that it did not contain carbon monoxide and 24.3% thought that shisha did not cause health problems. Conclusions: Prevalence of shisha and cigarette smoking is high in the general population in Malaysia and knowledge about shisha smoking is relatively low. The findings of our study might have implications for understanding similarities and differences in incidence of shisha and cigarette smoking in other cultural/geographic regions.
Background and Objectives: To evaluate the impact of smoking in young adults on the risk of cardiovascular disease (CVD) and the clustering effect of behavioral risk factors such as smoking, obesity, and depression. Methods: A Korean nationwide population-based cohort of a total of 3,280,826 participants aged 20-39 years old who underwent 2 consecutive health examinations were included. They were followed up until the date of CVD (myocardial infarction [MI] or stroke), or December 2018 (median, 6 years). Results: Current smoking, early age of smoking initiation, and smoking intensity were associated with an increased risk of CVD incidence. Even after quitting smoking, the risk of MI was still high in quitters compared with non-smokers. Cigarette smoking, obesity, and depression were independently associated with a 1.3-1.7 times increased risk of CVD, and clustering of 2 or more of these behavioral risk factors was associated with a 2-3 times increased risk of CVD in young adults. Conclusions: In young adults, cigarette smoking was associated with the risk of CVD, and the clustering of 2 or more behavioral risk factors showed an additive risk of CVD.
Purpose: The aim of this study was threefold, to longitudinally examine the risk of habitual smoking onset in adolescents, to delineate the effects of neighborhood characteristics and friends' smoking status on the habitual smoking onset, and to investigate whether the association between friends' smoking status and habitual smoking onset was moderated by neighborhood characteristics. Methods: This study conducted multilevel discrete-time survival analysis, using cohort data from the 3rd to 6th waves of the Korean Child and Youth Panel Survey, which excluded habitual smokers, matched with 2010 census data on respondents' residence. Results: Habitual smoking onset risk increased from the 8th to the 11th grade, and then slightly decreased from the 11th to the 12th grade. Friends' smoking status (B = 0.60, p < .001), smoking rate (B = 0.06, p = .038), and the number of tobacco outlets in the respondents' neighborhood (B = 0.51, p = .003) were positively associated with habitual smoking onset risk. Furthermore, the association between friends' smoking status and habitual smoking onset risk was moderated by the number of tobacco outlets in the neighborhood. Specifically, the association was stronger in neighborhoods with more tobacco outlets (B = 0.58, p = .048). Conclusion: Friends' smoking status and living in neighborhoods that are more susceptible to smoking increase the risk of habitual smoking. The number of tobacco outlets in the neighborhood enhances the peer effect of adolescent's smoking behavior. Therefore, policies or interventions designed to reduce youth's tobacco use should focus on not only on reducing peer smoking, but also restricting smoking by adults and the number of neighborhood tobacco outlets.
Kim, Yeon-Yong;Kang, Hee-Jin;Ha, Seongjun;Park, Jong Heon
Journal of Preventive Medicine and Public Health
/
v.52
no.4
/
pp.234-241
/
2019
Objectives: To identify simultaneous behavioral changes in alcohol consumption, smoking, and weight using a fixed-effect model and to characterize their associations with disease status. Methods: This study included 7 000 529 individuals who participated in the national biennial health-screening program every 2 years from 2009 to 2016 and were aged 40 or more. We reconstructed the data into an individual-level panel dataset with 4 waves. We used a fixed-effect model for smoking, heavy alcohol drinking, and overweight. The independent variables were sex, age, lifestyle factors, insurance contribution, employment status, and disease status. Results: Becoming a high-risk drinker and losing weight were associated with initiation or resumption of smoking. Initiation or resumption of smoking and weight gain were associated with non-high-risk drinkers becoming high-risk drinkers. Smoking cessation and becoming a high-risk drinker were associated with normal-weight participants becoming overweight. Participants with newly acquired diabetes mellitus, ischemic heart disease, stroke, and cancer tended to stop smoking, discontinue high-risk drinking, and return to a normal weight. Conclusions: These results obtained using a large-scale population-based database documented interactions among lifestyle factors over time.
The Journal of Korean Society for School & Community Health Education
/
v.21
no.1
/
pp.1-14
/
2020
Objectives: The purpose of this study is to analyze the relationship between dual smoking and mental health. Methods: This study was conducted on 5,879 Korean adults, and a logistic regression analysis was conducted to investigate the relationship between smoking type and mental health. Results: The types of smoking were surveyed as 'dual smoking' 6.1%, 'electronic cigarette' 1.7%, 'general smoking' 12.1%, and 'non-smoking' 80.1%.. The risk of diagnosing depression in the dual smoking group was 2.87 times higher than in the non-smoking group, the risk of depression was 1.66 times higher than in the non-smoking group, and the risk of stress was 1.62 times higher. Conclusion: Even in adulthood, health education such as smoking prevention education and smoking cessation education should be conducted.
Background: It is not evident that the attributable risk of smoking on mortality in Korea has decreased. We investigated the impact of smoking on all-cause mortality and estimated the attributable risk of smoking in Korean adults. Methods: Those aged ≥20 years with smoking history in the Korean National Health and Nutrition Examination Surveys (KNHANES) 2007-2015 were enrolled. We categorized the participants into three groups as follows: never smoker, <20 pack-years (PY) smokers, and ≥20 PY smokers. We applied inverse probability weighting using propensity scores to control various confounders between the groups. All-cause mortality risks were compared between the groups using the Kaplan-Meier log-rank test. The effects of smoking-attributable risks (ARs) on mortality were also calculated. Results: A total of 50,458 participants were included. Among them, 19,334 (38.3%) were smokers and 31,124 (61.7%) were never smokers. Those with a smoking history of 20 PY or more (≥20 PY smokers), those with a smoking history of less than 20 PY (<20 PY smokers), and never smokers were 18.1%, 20.2%, and 61.7%, respectively, of the study population. Smokers had a higher risk of all-cause mortality compared to never smokers (log-rank test p<0.01). The ARs of smoking were 21.8% (95% confidence interval [CI], 5.7%-37.9%) and 9.0% (95% CI, 6.1%-12.0%) in males and females, respectively. ARs decreased from 24.2% to 19.5% in males and from 9.5% to 4.1% in females between 2007-2010 and 2011-2015. Conclusion: Our study using KNHANES IV-VI data demonstrated that smoking increased the risk of all-cause mortality in a dose-response manner and the ARs of smoking on mortality were 21.8% in males and 9.0% in females during 2007-2015. This suggests that the ARs of smoking on mortality have decreased since around 2010.
Ilic, Milena;Vlajinac, Hristina;Marinkovic, Jelena
Asian Pacific Journal of Cancer Prevention
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v.14
no.11
/
pp.6643-6647
/
2013
Background: Despite the fact that breast cancer is the most common female cancer worldwide, more than half of the breast cancer risk factors remained unexplained. The aim of this study was to investigate the association of cigarette smoking with risk of breast cancer. Materials and Methods: A case-control study was conducted in the Clinical Centre of Kragujevac, Serbia, covering 382 participants (191 cases and 191 controls). In the analysis of data logistic regression was used. Results: Breast cancer risk was significantly increased in those who quit smoking at ${\leq}50$ years of age (OR=2.72; 95% confidence interval - 95%CI=1.02-7.27) and in those who quit smoking less than 5 years before diagnosis of the disease (OR=4.36; 95%CI=1.12-16.88). When smokers were compared with nonsmokers without passive exposure to smoking, former smoking significantly increased breast cancer risk (OR=2.37; 95%CI=1.07-5.24). Risk for breast cancer was significantly increased in those who quit smoking at ${\leq}50$ years of age (OR=3.29; 95%CI=1.17-9.27) and in those who quit smoking less than 5 years before diagnosis of the disease (OR=5.46; 95%CI=1.34-22.28). Conclusions: These data suggest that cigarette smoking is associated with an elevated risk of breast cancer among former smokers in Serbia.
Purpose: The purposes of this study were(a) to identify smoking behavior by following a cohort representative of the population of 4th grade elementary schoolers in South Korea over a four-year period(2004-2007), and(b) to explore predictors of smoking initiation among non-smokers in Wave 1. Methods: Secondary data, the Korea Youth Panel Study, was analyzed in this study. First, frequencies or percentages were calculated to identify smoking behavior(i.e., smoking initiation, smoking intensity, and smoking duration). Second, binary logistic regression analysis was performed to examine significant factors related to smoking initiation. Results: Smoking initiation and daily smoking were more pronounced when the participants entered middle school. In bivariate analysis, statistically significant predictors of smoking initiation were loneliness at school, self-control, delinquent behavior, depressive symptoms, and stress. However, after controlling for other factors, only a high level of risk-taking tendency and a greater number of delinquent behaviors remained statistically significant. Conclusion: Based on greater involvement in smoking among first-year middle schoolers, smoking prevention strategies should be provided to elementary schoolers rather than middle schoolers. A risk-taking tendency and delinquent behaviors should be considered as proxy measures to detect the high-risk group for smoking initiation.
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