scholarly journals Associations Between Nicotine Metabolite Ratio and Gender With Transitions in Cigarette Smoking Status and E-Cigarette Use: Findings Across Waves 1 and 2 of the Population Assessment of Tobacco and Health (PATH) Study

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.

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.


2019 ◽  
Vol 22 (6) ◽  
pp. 1046-1050 ◽  
Author(s):  
Cheryl Oncken ◽  
Erin L Mead ◽  
Ellen A Dornelas ◽  
Chia-Ling Kuo ◽  
Heather Z Sankey ◽  
...  

Abstract Introduction Smokers who use opioids smoke more cigarettes per day (CPD) than non-opioid users, which could be due to the effects of opioids on nicotine metabolism. Moreover, nicotine metabolism increases during pregnancy, potentially making quitting more difficult for pregnant smokers. We examined nicotine metabolism and its association with opioid use (OU) and CPD in pregnant smokers. Methods We recruited pregnant women who smoked at least 5 CPD for a clinical trial of smoking cessation. Plasma nicotine metabolite ratio (NMR; trans-3′-hydroxycotinine (3HC)/cotinine)—a biomarker of nicotine metabolism—OU (involving methadone, buprenorphine, fentanyl, oxycodone, or tramadol), and CPD were assessed at baseline. We used linear regression to examine the associations between log-transformed NMR, OU, and CPD, adjusting for race/ethnicity and menthol smoking. Results Among 129 pregnant smokers, 25 (19%) were opioid users; most were maintained on methadone (n = 14). Compared to non-OU smokers, OU smokers had higher median CPD (10.0 vs. 7.0, p = .0007), serum 3HC (81.0 vs. 42.0 ng/mL, p = .0001), and NMR (0.63 vs. 0.43, p &lt; .0001). In addition, methadone-maintained smokers had a higher median NMR than non-OU smokers (0.66 vs. 0.43, p = .0004). Adjusting for covariates, log-transformed NMR was greater in OU smokers (p = .012), specifically methadone-maintained smokers (p = .024), than non-OU smokers. Conclusions Our preliminary results show that OU is associated with a higher NMR in pregnant smokers. A larger study sample is needed to replicate this finding, examine potential mechanisms, and determine its clinical significance. Implications Among pregnant smokers, we observed that nicotine metabolism was significantly faster among opioid users—the majority of whom were on methadone maintenance—compared to nonusers, which could have implications for smoking cessation. Further studies are needed to replicate this finding, evaluate potential mechanisms, and determine its clinical significance.


Author(s):  
Laurie Chassin ◽  
Clark C. Presson ◽  
Jonathan T. Macy ◽  
Steven J. Sherman

In this chapter, findings from a long-term, cohort-sequential, multigenerational study of cigarette smoking are used to illustrate the importance of a developmental approach for (1) understanding trajectories of smoking behavior (in relation to other forms of tobacco use) and the conditions and challenges of the developmental periods that show transitions in smoking status (particularly adolescent smoking onset and challenges for parents with adolescent children), (2) understanding heterogeneity in these trajectories because differing trajectories may have different etiological underpinnings as well as different implications for the intergenerational transmission of smoking, (3) recognizing that development unfolds within the larger context of societal and historical change and that societal change can influence outcomes, and (4) considering development within a family systems and multigenerational context.


Author(s):  
Allison M Glasser ◽  
Mahathi Vojjala ◽  
Jennifer Cantrell ◽  
David T Levy ◽  
Daniel P Giovenco ◽  
...  

Abstract Introduction Understanding the population impact of e-cigarettes requires determining their effect on cigarette smoking cessation. Methods Using the US Population Assessment of Tobacco and Health cohort, we examined smoking cessation among adult current cigarette smokers at Wave 1 with follow-up data at Waves 2 and 3 (n = 9724). Results By Wave 3 (2015/2016), 17.3% of smokers had quit smoking. Smokers using e-cigarettes daily or who increased to daily use over the three waves were two to four times more likely to have quit in the short term (&lt;1 year) and long term (1+ years) compared with never e-cigarette users (p &lt; .001). E-cigarette use in the last quit attempt was associated with a higher likelihood of short-term (&lt;1 year) quitting at Wave 3 (adjusted relative risk ratio: 1.33; 95% confidence interval: 1.04, 1.71) compared with smokers who did not use an e-cigarette in their last quit attempt. Noncurrent (no use in any wave) e-cigarette users and users who were unstable in use frequency were 33% and 47% less likely to quit in the short-term, respectively (p &lt; .001). Flavored (vs nonflavored) and using a rechargeable (vs disposable) e-cigarette device was associated with an increased likelihood of both short- and long-term quitting. Conclusion Smoking cessation was more likely among frequent e-cigarette users, users of e-cigarettes in last quit attempt, and users of flavored and rechargeable devices. Less frequent, unstable, past, or never e-cigarette users were less likely to quit smoking. Monitoring the relationship between patterns of e-cigarette and cigarette use is complex but critical for gauging the potential of e-cigarettes as a harm reduction tool. Implications This study suggests that consistent and frequent e-cigarette use over time is associated with cigarette smoking cessation among adults in the United States. In addition, findings suggest that flavored e-cigarette use and use of rechargeable e-cigarette devices can facilitate smoking cessation. These results underscore the importance of carefully defining and characterizing e-cigarette exposure patterns, potential confounders, and use of e-cigarettes to quit smoking, as well as variations in length of the smoking cessation.


2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Yue-Chune Lee ◽  
Li-Chuan Chang ◽  
Chieh Hsu ◽  
Pei-Ching Chen

Objectives. Our objective in this study was to identify the risk factors for cigarette, e-cigarette, and IQOS use among adolescents in Taiwan, with a particular focus on socioeconomic status, smoking status of parents and peers, cigarette promotions, and anti-tobacco campaigns. Methods. Data were obtained from the 2018 version of the annual cross-sectional Taiwan Global Youth Tobacco Survey, which is used to monitor tobacco use among Taiwanese adolescents in junior and senior high schools. The dependent variables in the study were “current cigarette smoking,” “current use of e-cigarettes,” and “current use of IQOS devices” (i.e., during the 30 days prior to survey completion). Independent variables included gender, school grade, monthly income/allowance, educational level of parents, smoking status of parents, smoking status of close friends, access to free cigarettes, exposure to cigarette advertisements, and attendance at anti-tobacco courses. Logistic regression was used in the identification of factors correlated with the current use of cigarettes, e-cigarettes, or IQOS. Results. We determined that 5.65% of the adolescents in the study were currently using cigarettes, 2.74% were currently using e-cigarettes, and 2.33% were currently using IQOS. Our analysis revealed a number of factors that have a bearing on smoking behavior, including gender, monthly allowance, educational level of parents, smoking status of parents and close friends, access to free cigarettes, and exposure to cigarette advertisements. Conclusions. The tobacco product that was most widely used by adolescents was cigarettes, followed by e-cigarettes and IQOS. The socioeconomic status, smoking status of parents/close friends, and access to cigarettes were all identified as important factors related to the current use of cigarettes, e-cigarettes, and IQOS by adolescents.


Author(s):  
Danielle R. Davis ◽  
Maria A. Parker ◽  
Cristine D. Delnevo ◽  
Andrea C. Villanti

Menthol cigarette use has been shown to be a contributing factor in the changes in smoking over time among youth. The current study aim was to use prospective survey data to identify if menthol cigarette use was associated with changes in smoking among adults. A representative cohort from the 2010 U.S. Tobacco Use Supplement to the Current Population Survey was interviewed at two time points one year apart. Respondents were past-30-day cigarette smokers at Wave 1 or Wave 2 categorized by menthol vs. non-menthol flavor preference (n = 3668). Trajectories were categorized as maintained, increased, or decreased smoking behavior between Waves. Multinomial logistic regressions examined if menthol cigarette use was associated with an increase/decrease in smoking behavior, adjusting for age, race/ethnicity, and sex. Menthol cigarette use was not associated with change over time in cigarette smoking in adult smokers. Age, race/ethnicity and sex were associated with changes in cigarette smoking. Young (vs. older) adults were more likely to increase smoking. Black and Hispanic smokers (vs. white smokers) were more likely to report any change in smoking. Males were less likely than females to change smoking behavior. Menthol status was not associated with changes in smoking among adults; however, young age, race/ethnicity, and sex were, suggesting populations to target for intervention.


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