Factors associated with changing cigarette consumption patterns among low-intensity smokers: Longitudinal findings across four waves (2008-2012) of ITC Mexico Survey

Determinants of tobacco use transitions in smoker nursing students in Catalonia: A prospective longitudinal study

INTRODUCTION

The use of emerging tobacco and nicotine products affects tobacco use behaviors among college students. Thus, we aimed to examine transitions in tobacco use patterns and identify their predictors among smokers in a cohort of nursing students in Catalonia (Spain).

METHODS

We conducted a prospective longitudinal study of Catalan nursing students between 2015-2016 and 2018-2019. We examined transitions in tobacco use patterns between baseline and follow-up among smokers from: 1) daily to non-daily smoking, 2) non-daily to daily smoking, 3) cigarette-only use to poly-tobacco use, 4) poly-tobacco use to cigarette-only use, 5) between products, 6) reducing consumption by ≥5 cigarettes per day (CPD); and 7) quitting smoking. We applied a Generalized Linear Model with a log link (Poisson regression) and robust variance to identify predictors of reducing cigarette consumption by ≥5 CPD and quitting smoking, obtaining both crude and adjusted (APR) prevalence ratios and their 95% confidence intervals (CIs).

RESULTS

Among daily smokers at baseline, 12.1% transitioned to non-daily smoking at follow-up, while 36.2% of non-daily smokers shifted to daily smoking. Among cigarette-only users, 14.2% transitioned to poly-tobacco use, while 48.4% of poly-tobacco users switched to exclusive cigarette use. Among all smokers (daily and non-daily smokers), 60.8% reduced their cigarette consumption by ≥5 CPD and 28.3% quit smoking. Being a non-daily smoker (APR=0.33; 95% CI 0.19-0.55) and having lower nicotine dependence (APR=0.78; 95% CI 0.64-0.96) were inversely associated with reducing cigarette consumption, while being a non-daily smoker (APR=1.19; 95% CI: 1.08-1.31) was directly associated with quitting smoking.

CONCLUSIONS

Nursing students who smoked experienced diverse transitions in tobacco use patterns over time. Evidence-based tobacco use preventive and cessation interventions are needed to tackle tobacco use among future nurses.

Smoking Dependence, Time-Discounting, and Sustained Cessation Behavior: A Longitudinal Study of Predominantly Light Smokers

INTRODUCTION

This study aimed to assess whether two established psychosocial predictors of smoking abstinence, nicotine dependence and time-discounting, also apply to a population of predominantly cigarette light smokers, which is the dominant pattern of smoking in countries like Mexico. Relatively infrequent smoking is increasingly prevalent, yet still harmful, making it important to understand the predictors of cessation in this population.

AIMS AND METHODS

Mexican adult smokers recruited from an online consumer panel were surveyed every 4 months between November 2018 and July 2020. We considered respondents who reported a quit attempt in between surveys (n = 1288). Dependence was measured with a 10-item version of the Wisconsin Inventory of Smoking Dependence Motives (WISDM). Time-discounting was assessed with five branching questions about hypothetical reward scenarios. Logistic models regressed sustained quit attempts (≥30 days of abstinence) at time t + 1 on study variables at time t.

RESULTS

We found strong interitem reliability (α = 0.92) and intraindividual consistency of our brief WISDM (ρ = 0.68), but moderate intraindividual consistency of the time-discounting measure (ρ = 0.48). Forty-eight percent of the sample reported sustained quit attempts, and 79% were non-daily or light daily smokers (≤5 cigarettes per day). Smokers with higher WISDM-10 had lower odds of sustained quitting and this result remained when controlling for smoking frequency and the Heaviness of Smoking Index (adjusted odds ratio [AOR] = 0.768). Time-discounting was unassociated with sustained quitting.

CONCLUSIONS

Our findings suggest that a brief, 10-item multidimensional measure of dependence is useful for predicting sustained quitting in a context of relatively light smoking; time-discounting appears less relevant, although our results are not conclusive because of the low test-retest reliability of our measure.

IMPLICATIONS

Given the increase in non-daily and light daily cigarette smoking in many countries, including in Mexico, and the health risks this still poses, it is important to understand the predictors of cessation among relatively light smokers. The WISDM-10 multidimensional measure seems to be a good instrument to assess dependence and predict successful quitting in this population, and possibly more appropriate than physical dependence measures. As such, it could help design and target more suitable cessation treatments for non-daily and daily light cigarette smokers. While this study did not find time-discounting to be a relevant predictor of smoking abstinence, future studies should explore other measures.

The Relationship Between Menthol Cigarette Use, Smoking Cessation, and Relapse: Findings From Waves 1 to 4 of the Population Assessment of Tobacco and Health Study

INTRODUCTION

Some, but not all, studies suggest that menthol cigarette smokers have more difficulty quitting than non-menthol cigarette smokers. Inconsistent findings may be a result of differences in smoker characteristics (eg, daily vs. non-daily smokers) across studies. This study examines the relationship between menthol cigarette use, cessation, and relapse in a longitudinal, nationally representative study of tobacco use in the United States.

AIMS AND METHODS

Data come from four waves of the Population Assessment of Tobacco and Health Study. Waves 1-4 were conducted approximately annually from September 2013 to January 2018. Generalized estimating equation models were used to prospectively examine the relationship between menthol cigarette use, cessation, and relapse in non-daily and daily adult (18+) smokers. Cessation was defined as smokers who had not used cigarettes within the past 30 days at their subsequent assessment. Relapse was defined as cessation followed by past 30-day smoking in the next assessment.

RESULTS

Among daily smokers (n = 13 710), 4.0% and 5.3% of menthol and non-menthol smokers quit after 1 year, respectively. In an adjusted model, menthol smokers were less likely to quit compared with non-menthol smokers (odds ratio [OR] = 0.76 [0.63, 0.91]). When the sample was stratified by race/ethnicity, African American (OR = 0.47 [0.24, 0.91]) and White (OR = 0.78 [0.63, 0.97]) daily menthol users were less likely to have quit. Among non-daily smokers (n = 3608), there were no significant differences in quit rates. Among daily and non-daily former smokers, there were also no differences in relapse rates between menthol and non-menthol smokers.

CONCLUSIONS

Menthol cigarette use is associated with lower odds of cessation.

IMPLICATIONS

Findings from this study suggest that menthol cigarette use is associated with lower odds of cessation, but not relapse. Removing menthol cigarettes from the market may improve cessation rates.

Financial strain and electronic nicotine delivery systems use among U.S. young adults: A longitudinal panel analysis, 2013-2018

INTRODUCTION

Financial strain is associated with an increased likelihood of cigarette smoking, but less is known about its association with electronic nicotine delivery systems (ENDS) use. This study examined longitudinal associations of financial strain with ENDS use behaviors among young adults.

METHODS

We analyzed in 2020 four waves (2013-2018) of the Population Assessment of Tobacco and Health, a nationally representative longitudinal study. A total of 5740 U.S. young adults (aged 18-24 years at baseline) had matched data for all four waves. We used generalized linear mixed modeling which accounts for correlations between repeated measures. Weighted logistic regressions assessed the association between financial strain and three different types of ENDS use behaviors (i.e., everyday, some-day, and experimental use), adjusting for major confounders including poverty, mental health symptoms, and other substance use behaviors.

RESULTS

Frequency and proportion of everyday ENDS use showed a linear increase over time whereas some-day and experimental uses showed quadratic trends, increasing with a peak at Wave 2 and then decreasing over time. Financial strain prospectively predicted some-day (adjusted odds ratio [AOR] = 1.32; 95% CI = 1.03-1.69) and experimental (AOR = 1.25; 95% CI = 1.02-1.52) ENDS use, but not everyday use.

CONCLUSIONS

The findings of the current study indicate the need for distinctly different approaches for non-daily ENDS users from daily users. Our findings further suggest that ENDS use prevention and cessation efforts should consider financial strain of young adults particularly for non-daily users to thwart them from progressing towards nicotine dependence and long-term use.

COVID-19 Impact on Smokers Participating in Smoking Cessation Trials: The Experience of Nondaily Smokers Participating in a Smartphone App Study

Objectives: To provide initial insight into how the COVID-19 pandemic could affect smoking behaviors and cessation efforts that were underway at its onset. Methods: An additional survey was added to follow-up assessments in an ongoing smoking cessation study for nondaily smokers: a measure of impact of COVID-19 and a subset of previously administered scales measuring smoking, emotional well-being, and alcohol use. Pre-post tests were conducted (84 ± 28 days apart). Results: Participants (81/100 of enrolled; 67% female, 75% white, 10% Hispanic, 37 ± 11 years old) reported experiencing changes regarding work (35% income reduction/loss; 35% remote work) and living situation (15% consolidated residences). Participants reported their motivation to quit smoking "slightly" increased after COVID-19 (p < 0.001), more so in those having achieved 30-day abstinence (p = 0.0045). Worry, fear, and a desire to support the greater good increased (ps < 0.05). Increases in motivation to quit correlated positively with prosocial and wellness changes. Data from pre- to post-COVID-19 onset showed decreases in emotional well-being (increased stress, negative affect, decreased coping, positive affect, all ps < 0.01), but not changes in smoking abstinence (p = 0.65), readiness to quit (p = 0.16), smoking frequency (p = 0.96), or cigarettes per day (p = 0.96). Heavy drinking decreased (p < 0.01). Trying e-cigarettes increased (p = 0.04). Conclusions: Nondaily smokers participating in a smoking cessation study during the COVID-19 pandemic reported worsened emotional well-being without effects on smoking outcomes and said their motivation to quit was slightly increased. Correlations of motivation to quit with prosocial and wellness changes suggest that targeting these constructs may be particularly helpful during a pandemic.

Changes in Smoking and Vaping over 18 Months among Smokers and Recent Ex-Smokers: Longitudinal Findings from the 2016 and 2018 ITC Four Country Smoking and Vaping Surveys

This descriptive study of smokers (smoked at least monthly) and recent ex-smokers (quit for ≤2 years) examined transitions over an 18 month period in their smoking and vaping behaviors. Data are from Waves 1 (W1: 2016) and 2 (W2: 2018) of the ITC Four Country Smoking and Vaping Survey, a cohort study of adult (≥18+) smokers, concurrent users (smoke and vape), and recent ex-smokers from Australia, Canada, England, and the United States (US). Respondents (N = 5016) were classified according to their smoking and vaping status, which resulted in eight subgroups: (1) exclusive daily smokers (2) exclusive non-daily smokers; (3–6) concurrent users (subdivided into four groups by each combination of daily/non-daily smoking and daily/non-daily vaping); (7) ex-smokers who vape; (8) ex-smokers not vaping. The analyses focused first on describing changes between groups from W1 to W2. Second, transition outcomes were assessed based on changes in smoking and vaping between W1 and W2. Transitions focused on smoking were: no change in smoking (continued smoking at the same frequency); decreased smoking; increased smoking; discontinued smoking; relapsed (ex-smokers at W1 who were smoking at W2). Transitions focused on vaping were: initiated vaping; switched from smoking to vaping. Overall, this study found that the vast majority of smokers were smoking 18 months later. Non-daily smokers were more likely than daily smokers to have discontinued smoking (p < 0.0001) and to have switched to exclusive vaping (p = 0.034). Exclusive non-daily smokers were more likely than exclusive daily smokers to have initiated vaping (p = 0.04). Among all W1 daily smokers, there were no differences in discontinued smoking between daily smokers who vaped (concurrent users) and exclusive daily smokers; however, concurrent users were more likely than exclusive daily smokers to have decreased to non-daily smoking (p < 0.001) or to have switched to vaping by W2 (p < 0.001). Among all W1 non-daily smokers, there were no significant differences in increased smoking or discontinued smoking between concurrent users or exclusive smokers. Most ex-smokers remained abstinent from smoking, and there was no difference in relapse back to smoking between those who vaped and those who did not.

Psychosocial Factors Associated with Smoking Cessation Attempts in Korean High School Students Who Engage in Intermittent and Light Smoking

Purpose

This study aimed to identify psychosocial factors associated with smoking cessation attempts among Korean high school students who engage in intermittent and light smoking.

Methods

Cross-sectional secondary data derived from the 2018 Korea Youth Risk Behavior Web-Based Survey were analyzed within the framework of the biopsychosocial model. The sample comprised 829 high school students who reported current intermittent and light smoking, which was defined as cigarette smoking on 1~29 days in a 30-day period and no more than 10 cigarettes per day. Purposeful selection logistic regression analysis was performed.

Results

In total, 71.7% (n=586) of the respondents had tried to stop smoking during the past 12 months. The main result was that respondents who had viewed an anti-smoking advertisement in the past year significantly more smoking cessation attempts than those who had not (adjusted odds ratio=2.59; 95% confidence interval=1.45~4.62, p=.001).

Conclusion

To encourage smoking cessation attempts among high school students who engage in intermittent and light smoking, healthcare providers, including school and community nurses, should develop effective interventions using anti-smoking advertisements tailored to adolescents’ interests and developmental stage.

Health Professionals' Counseling about Electronic Cigarettes for Smokers and Vapers in a Country That Bans the Sales and Marketing of Electronic Cigarettes

This study describes the prevalence and correlates of adult smokers’ discussions about electronic cigarettes (e-cigarettes) with health professionals (HPs), including whether these discussions may lead smokers and vapers to use e-cigarettes for smoking cessation. Methods: We analyzed data from an online survey of Mexican smokers recruited from a consumer panel for marketing research. Participants who had visited an HP in the prior four months (n = 1073) were asked about discussions of e-cigarettes during that visit and whether this led them to try to quit. Logistic models regressed these variables on socio-demographics and tobacco use-related variables. Results: Smokers who also used e-cigarettes (i.e., dual users) were more likely than exclusive smokers to have discussed e-cigarettes with their HP (adjusted odds ratio (AOR) = 3.96; 95% C.I. 2.73, 5.74), as were those who had recently attempted to quit smoking (AOR = 1.89; 95% C.I. 1.33, 2.7). Of smokers who had discussed e-cigarettes, 53.3% reported that the discussion led them to use e-cigarettes in their quit attempt. Also, dual users (AOR = 2.6; 95% C.I. 1.5, 4.5) and daily smokers (>5 cigarettes per day) (AOR = 3.62; 95% C.I. 1.9, 6.8) were more likely to report being led by their HP to use e-cigarettes in the quit attempt compared to exclusive smokers and non-daily smokers, respectively. Conclusions: Discussions between HP and smokers about e-cigarettes were relatively common in Mexico, where e-cigarettes are banned. These discussions appear driven by the use of e-cigarettes, as well as by greater smoking frequency and intentions to quit smoking.

Current cigarette smoking among U.S. college graduates

Although U.S. college graduates are at relatively low risk for smoking, 12-15% of U.S. smokers (~8 million people) are college graduates. Few studies have examined smoking risk among college graduates. To address that gap, the present study examined smoking risk among U.S. college graduates and those who did not graduate from college in a nationally representative sample of adults (National Survey on Drug Use and Health 2011-2017, n = 202,137). We examined smoking risk in association with well-established risk factors: alcohol abuse/dependence, drug abuse/dependence, mental illness, age, sex, race/ethnicity, and poverty status, using group contrasts and Classification and Regression Tree (CART) modeling. Smoking prevalence among U.S. college graduates and non-graduates was 10% and 26%, respectively. College graduates initiated any smoking and daily smoking at a later age and were lighter smokers than smokers who did not graduate college. Within college graduate and non-graduate groups, prevalence rates varied by orders of magnitude across different risk-factor profiles (ranges = 3-37% and 14-73% among graduates and non-graduates, respectively). Past year drug abuse/dependence was a robust predictor of smoking prevalence in both populations. For college graduates, past year alcohol abuse/dependence and mental illness were stronger predictors of smoking compared to those who did not graduate college, for whom race/ethnicity and age were stronger predictors. Overall, smoking risk increases to surprisingly high levels, even among college graduates, when select risk factors co-occur, particularly psychiatric conditions. Socio-demographic risk factors appear to be less robust predictors of smoking risk among college graduates relative to those who did not graduate college.

Measuring Smoking Prevalence in a Middle Income Nation: An Examination of the 100 Cigarettes Lifetime Screen

Introduction

Public health surveillance of smoking prevalence is essential in gauging the magnitude of the problem, identifying groups most affected, and evaluating polices. However, little attention has focused on how prevalence is measured, particularly in low-and middle-income countries, where smoking patterns may not mirror those in high-income countries and where the burden of tobacco use is rapidly growing. Mexico provides a unique opportunity to gauge how the questions used to define established smokers can affect prevalence estimates. This study assesses how using the 100-cigarette lifetime question to define smoking status affects estimates of smoking prevalence.

Methods

We consider data from four nationally representative surveys in Mexico, from 2002 to 2016. These surveys ask about current smoking even for adults who do not indicate having smoked 100 cigarettes in their lifetime. We compare estimates of daily and nondaily smoking prevalence by age and gender with and without the 100-cigarette screen.

Results

The relative difference in prevalence estimates with and without the screen was greater for nondaily than daily smoking and for females than males. The difference was especially pronounced for nondaily smokers aged 15-24, where there was a 50%-75% relative difference in estimates, albeit smaller discrepancies (20-49% relative difference) were also found among older smokers. In recent years, the relative difference was greatest at lower levels of educational attainment.

Conclusions

With the growth in nondaily smoking, using the 100-cigarettes screen to define smoking status can have important implications regarding size of smoking population. Further research is warranted in other countries.