scholarly journals Association between Family and Friend Smoking Status and Adolescent Smoking Behavior and E-Cigarette Use in Korea

Author(s):  
Myoung Joung ◽  
Mi Han ◽  
Jong Park ◽  
So Ryu
2021 ◽  
Vol 5 (1) ◽  
pp. 182-194
Author(s):  
Angel Zushelma Hartono ◽  
Siskarossa Ika Oktora

Adolescent smoking habits have become the Ministry of Health's major program associated with tobacco consumption. In 2016, the prevalence of adolescent smoking aged 10-18 years reached 8.8% and were rate increasingly against the Strategic Planning Ministry of Health 2015-2019 target to lower adolescent smoking prevalence to 5.4%. Male adolescents consuming cigarettes are higher than females. Whereas, high consumption of cigarettes in men will increase the risk of impotence and decrease reproductive health quality to affect future generations' quality. This study aims to determine the general picture of smoking behavior in Indonesia's male adolescent in 2018 and any variables that affect the number of cigarettes consumed. The analytical method used is Poisson Regression and Negative Binomial Regression. The data source used is raw data Riskesdas 2018 with the unit of analysis are male adolescent smokers aged 10-18 years. Research indicates that most male adolescents are light smokers. Heavy smokers were dominated by older age, living in a rural area, poorly educated, employed, lived with a household head who was a smoker, and had low education. Age, location of residence, education level, working status, smoking status, and household head education level significantly affect male adolescents' smoking behavior.


2020 ◽  
Vol 22 (8) ◽  
pp. 1316-1321 ◽  
Author(s):  
Terril L Verplaetse ◽  
MacKenzie R Peltier ◽  
Walter Roberts ◽  
Kelly E Moore ◽  
Brian P Pittman ◽  
...  

Abstract Introduction Nicotine metabolite ratio (NMR), the ratio of trans 3′-hydroxycotinine to cotinine, is a biomarker of nicotine metabolism. Discrepant findings among clinical trials and population-based studies warrant replication on whether higher NMR, or faster nicotine metabolism, is associated with quitting cigarette smoking. Associations of NMR and e-cigarette use are largely unknown, as well as the relationship between NMR and gender on quitting cigarette smoking or e-cigarette use. Methods The Population Assessment of Tobacco and Health (PATH) Study is a nationally representative, longitudinal cohort study assessing tobacco use in the US population. In the current study, the PATH (waves 1 and 2; adult interviews) was used to evaluate longitudinal predictions in relationships among NMR and gender and their association with transitions (quit vs. current stable) in cigarette smoking status and e-cigarette use status across waves 1 and 2 of the PATH study. Results NMR and gender were not significantly associated with quit behavior for combustible cigarettes. Regarding e-cigarettes, a significant two-way interaction demonstrated that women with higher NMR were less likely to quit e-cigarette use compared to women with lower NMR (odds ratio [OR] = 0.10, 95% confidence interval [CI] = 0.02–0.57; p = .01). Conclusions Findings identify that women with faster nicotine metabolism were 10 times less likely to quit e-cigarettes compared to women with slower nicotine metabolism across waves 1 and 2 of the PATH study. Results suggest that NMR may be used as a biomarker for transitions in e-cigarette quit behavior for women. Implications Findings identify that women with faster nicotine metabolism were 10 times less likely to quit e-cigarettes compared to women with slower nicotine metabolism. Results suggest that NMR may be used as a biomarker for transitions in e-cigarette quit behavior for women. Establishing parameters for NMR collection and for the use of NMR as a biomarker for cigarette smoking behavior and e-cigarette use is an important next step, and may have implications for early intervention and treatment for cessation.


2019 ◽  
Vol 47 (10) ◽  
pp. 1-9 ◽  
Author(s):  
Xieping Chen ◽  
Qian Xie ◽  
Yuting Yang

Parent–adolescent communication is assumed to be an important factor affecting adolescent smoking behavior. However, the inner mechanism accounting for this association has still not been clarified in research. Our purpose in this study was to examine the relationships between parent–adolescent communication, adolescent smoking behavior, and depression, as well as gender differences in the relationship between depression and adolescent smoking behavior. Participants were 1,134 students at 6 junior high schools in China who completed the Parent-Adolescent Communication Scale, the Epidemiological Studies Depression Scale, and the Smoking Behavior Test. Results showed that parent-adolescent communication had a significant negative effect on adolescent smoking behavior and depression partially mediated the relationship between parent–adolescent communication and adolescent smoking behavior. In addition, gender moderated the relationship between depression and adolescent smoking behavior. Overall, these findings may help to promote better understanding of the relationship between parent–adolescent communication and adolescent smoking behavior.


BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041705
Author(s):  
Ben Wamamili ◽  
Sheleigh Lawler ◽  
Mark Wallace-Bell ◽  
Coral Gartner ◽  
David Sellars ◽  
...  

ObjectivesExamine the patterns of cigarette smoking and e-cigarette use (vaping), the perceived harm of e-cigarettes compared with tobacco cigarettes, and associations between smoking and vaping with student characteristics.DesignCross-sectional studies.SettingThe University of Queensland (UQ), Australia and eight New Zealand (NZ) universities.ParticipantsStudents at UQ: 4957 (70.8% aged <25 years, 63.0% women) and NZ: 1854 (82.5% aged <25 years, 60.1% women).MethodsΧ2 tests compared smoking by age and gender, and vaping by age, gender and smoking status. Two-sided p<0.05 was considered significant and 95% CIs reported where appropriate. Multinomial logistic regression examined associations between smoking and vaping (exclusive smoking, exclusive vaping, dual use and non-use) with age, gender and student type (domestic vs international).ResultsSmoking (UQ vs NZ, 95% CI): ever 45.2% (43.8% to 46.6%) vs 50.0% (47.7% to 52.3%), current 8.9% (8.1% to 9.7%) vs 10.4% (9.1% to 11.9%) and daily 5.2% (4.6% to 5.8%) vs 5.6% (4.6% to 6.7%), and not smoking in indoor 98.3% vs 87.7% or outdoor smoke-free spaces 83.8% vs 65.3%.Vaping (UQ vs NZ, 95% CI): ever 20.9% (19.8% to 22.1%) vs 37.6% (35.4% to 39.9%), current 1.8% (1.5% to 2.2%) vs 6.5% (5.4% to 7.7%) and daily 0.7% (0.5% to 1.0%) vs 2.5% (1.9% to 3.4%), and not vaping in indoor 91.4% vs 79.6% or outdoor smoke-free spaces 84.4% vs 71.3%. Of respondents, 71.7% (70.3% to 73.2%) vs 75.3% (72.9% to 77.6%) perceived e-cigarettes as less harmful than tobacco cigarettes.Men were more likely than women to smoke and vape, and to believe that e-cigarettes are less harmful. Regression models containing all predictors for smoking and vaping were significant and the effect of gender was significant for dual use, exclusive smoking and exclusive vaping (all p<0.01). Men had higher odds for smoking, vaping or dual use.ConclusionsResults suggest significant differences in patterns of smoking and vaping of university students in Australia and NZ, and a strong influence of gender on smoking and vaping.


Author(s):  
Godfred O Antwi ◽  
Darson L Rhodes

Abstract Background Concern about the health impacts of e-cigarette use is growing; however, limited research exists regarding potential long-term health effects of this behavior. This study explored the relationship between e-cigarette use and COPD in a sample of US adults. Methods A secondary data analysis using data from the 2018 Behavioral Risk Factor Surveillance Survey in the USA was computed to examine associations between e-cigarette use and COPD controlling for conventional cigarette smoking status, past month leisure physical activity and demographic characteristics including age, sex, education, race, marital status and body mass index. Results Significant associations between e-cigarette use and COPD among former combustible cigarette smokers and those who reported never using combustible cigarettes were found. Compared with never e-cigarette users, the odds of having COPD were significantly greater for daily e-cigarette users (OR = 1.53; 95% CI: 1.11–2.03), occasional users (OR = 1.43, 95% CI: 1.13–1.80) and former users (OR = 1.46 95% CI: 1.28–1.67). Conclusions Findings from this study indicate a potential link between e-cigarette use and COPD. Further research to explore the potential effects of e-cigarette on COPD is recommended.


2000 ◽  
Vol 70 (3) ◽  
pp. 107-112 ◽  
Author(s):  
Catherine A. Mills ◽  
Linda L. Pederson ◽  
John J. Koval ◽  
Sharon M. Gushue ◽  
Jo-Anne L. Aubut

Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2423
Author(s):  
Marion Nicolas ◽  
Beatriz Grandal ◽  
Emma Dubost ◽  
Amyn Kassara ◽  
Julien Guerin ◽  
...  

Breast cancer (BC) is the most commonly diagnosed type of cancer and the leading cause of cancer deaths in women. Smoking is the principal modifiable risk factor for cancers and has a negative influence on long-term survival. We conducted a retrospective study on consecutive BC survivors seen at follow-up consultations between 3 June and 30 October 2019 at Institut Curie, Paris, France. Smoking behaviors were evaluated prospectively via interviewer-administered questionnaires. The aim of this study was to describe smoking-related patient care at diagnosis and smoking cessation patterns in women with a history of BC. A total of 1234 patients were included in the study. Smoking status at diagnosis was missing from electronic health records in 32% of cases, including 13% of patients who smoke. Only 20% of the 197 patients currently smoking at diagnosis recalled having a discussion about smoking with a healthcare professional. Radiotherapists and surgeons were more likely to talk about complications than other practitioners. The main type of information provided was general advice to stop smoking (n = 110), followed by treatment complications (n = 48), while only five patients were referred to tobaccologists. Since diagnosis, 33% (n = 65) of the patients currently smoking had quit. Patients who quit had a lower alcohol consumption, but no other factor was associated with smoking cessation. The main motivation for tobacco withdrawal was the fear of BC relapse (63%). This study highlights room for improvement in the assessment of smoking behavior. Our data raise important perspectives for considering BC treatment and follow-up as a window of opportunity for smoking cessation.


2018 ◽  
Vol 48 (3) ◽  
pp. 485-502
Author(s):  
Elizabeth L. Borkowski ◽  
Wanda E. Leal

This study aims to examine how positive and negative reinforcers during an individual’s first few cigarettes (cigarette initiation experiences) are associated with adulthood smoking behavior. Respondents from the Add Health were asked about subjective feelings during their first few cigarettes. Using ordinary least squares (OLS) and logistic regression, we examine the differential effects of positive and negative cigarette initiation experiences on 30-day cigarette use in adulthood and lifetime nicotine dependence. The results indicate that all measures of positive cigarette initiation experiences are positively associated with both cigarette measures; however, the opposite is not true of negative cigarette initiation experiences. The results highlight the misconceptions of antidrug policies aimed at punishment of users, by indicating that positive experiences influence later cigarette use more than negative experiences. These findings suggest that drug policies and initiatives aimed at punishment may be misguided and could benefit from adopting operant conditioning concepts that emphasize reinforcements.


2017 ◽  
Vol 10 ◽  
pp. 1179173X1772629 ◽  
Author(s):  
Sanni Yaya ◽  
Ghose Bishwajit ◽  
Vaibhav Shah ◽  
Michael Ekholuenetale

Background: Tobacco smoking is a growing concern for health care systems as it is projected to become the leading cause of death in the developing world. Knowledge of how smoking behavior differs across socioeconomic groups is crucial for designing effective preventive policies and alleviating the disparities. The aim of this study was to report the prevalence of (1) smoking status, (2) early smoking initiation, and (3) association with socioeconomic status (SES) of the 2 among Malawian men. Methods: Cross-sectional data on 1693 men aged between 15 and 49 years were collected from the latest 2013-2014 Multiple Indicator Cluster Survey in Malawi. Educational qualification and wealth index quintile were used as the indicators of SES. Outcome variables were smoking status, first age of smoking being below 18 years, and ever using any form of smokeless tobacco products. Multiple logistic regression models were used to see the contribution of SES to smoking status and early smoking initiation. Results: Mean age of the sample population was 33.23 years (SD: 8.25). Prevalence of smoking, early initiation, and ever using any form of smokeless tobacco were, respectively, 46.6%, 33.7%, and 6%. Compared with men who had higher education, those who had no formal education, primary-level, and secondary-level qualification had, respectively, 21% (adjusted odds ratio [AOR] = 1.209; 95% confidence interval [CI] = 0.498-2.935), 40% (AOR = 1.4; 95% CI = 0.647-3.029), and 26% (AOR = 1.256; 95% CI = 0.593-2.661) higher odds of being a smoker. Those who had no formal education were 2.7 times (AOR = 2.734; 95% CI = 1.123-6.653) as likely to try smoking before reaching 18 years of age. Compared with the richest, those in the lowest wealth quintile had 32% lower odds (AOR = 0.676; 95% CI = 0.455-1.006) of early onset of smoking, 63% lower odds (AOR = 0.372; 95% CI = 0.201-0.690) of trying other tobacco products. Conclusions: Addressing the socioeconomic disparities could play a vital role in delaying early onset and limiting overall consumption of tobacco. Ongoing health policy talks to reduce the prevalence of smoking should take into consideration improving educational and material well-being among men.


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