E-cigarette use and change in plans to quit cigarette smoking among adult smokers in the United States: Longitudinal findings from the PATH Study 2014-2019

Switching from cigarettes to IQOS: the relative importance of IQOS-associated reward, reinforcement and abstinence relief

INTRODUCTION

This study investigated whether IQOS, a heated tobacco product, can fully substitute for combustible cigarettes and the factors that promote substitution.

METHODS

Adults who smoked cigarettes daily (N=90; 21-65 years) completed a baseline ad-lib smoking period (days 1-5), two laboratory visits (days 6-7) and a 2-week period where they were instructed to switch from smoking cigarettes to using IQOS 3.0 (days 8-21). Mixed-effect modelling estimated the changes in cigarettes per day (CPD) and the percentage of baseline CPD substituted by HeatSticks during the switch period. Predictors included IQOS-associated subjective reward, relative reinforcing value, craving relief and withdrawal relief.

RESULTS

Participants reduced their CPD to about 30% of their baseline smoking rate by the end of the 14-day switch period (p<0001). A lower versus higher reinforcing value of smoking relative to IQOS (RRV; break point <5 vs ≥5) predicted greater reductions in CPD (β=-1.31 (95% CI -2.35 to -0.27) p=0.013). Initially, IQOS use was 72% of the baseline smoking rate (β=71.64 (95% CI 42.79 to 100.48) p<0.0001) and climbed by 0.8% per day (β=0.82 (95% CI 0.01 to 1.64) p=0.05), for an average substitution rate of 83%. The subjective reward of IQOS was the only predictor of a higher substitution rate (β=4.26 (95% CI 1.03 to 7.50) p=0.01).

CONCLUSIONS

IQOS fully substituted for cigarettes in ~20% of people who were not immediately interested in quitting smoking while the remainder significantly reduced their smoking. Positive reinforcing effects of IQOS foster use and the transition away from combustible cigarettes.

TRIAL REGISTRATION NUMBER

NCT05076708.

How healthcare providers and the right information may play a critical role in quitting success among smokers interested in using e-cigarettes for quitting: Results from a survey of U.S adults

INTRODUCTION

Promoting smoking cessation is a global public health priority. E-cigarettes are increasingly being used by individuals to try quitting smoking. Identifying sources and types of information available to adults who are trying to quit, and the impact of this information during a quit attempt, is critical to augment the potential public health benefit of e-cigarettes for reducing cigarette smoking.

METHODS

US adults (N = 857) who reported using e-cigarettes in a recent smoking cessation attempt completed an anonymous, cross sectional, online survey. We examined sources of information and type of information received when using e-cigarettes to quit smoking and their associations with the duration of abstinence achieved.

RESULTS

The two most commonly reported information sources were friends (43.9%) and the internet (35.2%), while 14.0% received information from a healthcare provider. People received information on type of device (48.5%), flavor (46.3%), and nicotine concentration (43.6%). More people received information about gradually switching from smoking to vaping (46.7%) than abruptly switching (30.2%). Obtaining information from healthcare providers (β (SE) = 0.16 (0.08), p = 0.04), getting information about abruptly switching to e-cigarettes (β (SE) = 0.14 (0.06), p = 0.01) and what nicotine concentrations to use (β (SE) = 0.18 (0.05), p = 0.03) were associated with longer quit durations.

CONCLUSIONS

Amidst the growing popularity of e-cigarettes use for quitting smoking, our results highlight common sources of information and types of information received by individuals. Few people received information from healthcare providers indicating a gap in cessation support that can be filled. Providing information about immediate switching to e-cigarettes and nicotine concentrations to use may help in increasing quit rates and duration.

Interpersonal communication and perceived norms as social influence mechanisms of e-cigarette use among adults: a systematic review

Background: Given the increasing popularity of e-cigarette use among adults and the ongoing debate about the benefits and the potential adverse health risks associated with e-cigarette use, it is critical to identify the correlates of e-cigarette use. Prior research has found associations between interpersonal communication, perceived norms, and adults' e-cigarette use, but the evidence has yet to be summarized and synthesized.Objectives: This paper reviewed empirical studies examining the relationship between interpersonal communication, perceived norms, and e-cigarette use among adults.Methods: Following PRISMA guidelines, articles were searched on DOAJ, EMBASE, Europe PubMed Central, Google Scholar, PsychINFO, PubMed, Web of Science, and the reference list of the retrieved studies for studies that examined social influence on e-cigarette use. Three reviewers independently screened 1,713 non-duplicate papers and further screened the full text of 195 articles for inclusion.Results: Thirty studies (30), consisting of quantitative (n = 25) and qualitative (n = 5) data, were included in this review. The twenty-five (25) quantitative studies consisted of both cross-sectional (n = 20) and longitudinal (n = 5) studies. Interpersonal communication portraying e-cigarettes as beneficial or harmful was found to increase e-cigarette use and quit attempts, respectively. Across study designs, greater perceptions of others' e-cigarette use or approval were related to more frequent e-cigarette use.Conclusions: The findings highlight that e-cigarette-related interpersonal communication and perceived norms are associated with e-cigarette use. These factors may be useful targets in brief interventions. However, most of the included studies were cross-sectional, limiting the ability to establish clear cause-and-effect relationships; therefore, more longitudinal studies are needed.

Challenges in legitimizing further measures against smoking in jurisdictions with robust infrastructure for tobacco control: how far can the authorities allow themselves to go?

BACKGROUND

According to a recently published study, approximately half of those who currently smoke in Norway have little or no desire to quit despite a hostile regulatory and socio-cultural climate for smoking. On this background, we discuss some challenges that regulators will face in a further tightening of structural measures to curb smoking.

MAIN BODY

Central to our discussion is the research literature concerned with the concept of state-paternalism in tobacco control-the line between an ethically justified interference with the freedom of those who smoke and an exaggerated infringement disproportionate to the same people's right to live as they choose. In countries with an already advanced infrastructure for tobacco control, this dilemma might become quite intrusive for regulators. We ask that if people, who smoke are aware of and have accepted the risks, are willing to pay the price, smoke exclusively in designated areas, and make decisions uninfluenced by persuasive messages from manufacturers-is a further tightening of anti-smoking measures still legitimate? Strengthening of the infrastructure for tobacco control can be seen as a "help" to people who-due to some sort of "decision failure"-continue to smoke against their own will. However, for those who want to continue smoking for reasons that for them appear rational, such measures may appear unwanted, punitive, and coercive. Is it within the rights of regulators to ignore peoples' self-determination for the sake of their own good? We problematize the "help" argument and discuss the authorities' right to elevate the zero-vision of smoking as universally applicable while at the same time setting up barriers to switching to alternative nicotine products with reduced risk.

CONCLUSION

We recommend that a further intensification of smoking control in countries that already have a well-developed policy in this area requires that regulators start to exploit the opportunity that lies in the ongoing diversification of the recreational nicotine market.

Why can't smokers quit? Longitudinal study of smokers in the US using the Population Assessment of Tobacco and Health (PATH) waves 1 to 5

Introduction

Most adult cigarette smokers have tried unsuccessfully to quit. We followed participants in the Population Assessment of Tobacco and Health (PATH) study through five waves (2013-2019), comparing smoking, quit behaviors and other characteristics between persistent smokers and those who became and stayed former smokers.

Methods

The main analysis employed treatment effects to estimate mean differences in smoking and quitting behaviors among smoker groups. Logistic models were used to estimate predicted means based on continuing smokers' demographic characteristics to ensure that any differences in outcomes did not come from differences in demographic characteristics.

Results

Among smokers enrolled in PATH Wave 1, 68 % persisted in all subsequent waves. Compared with smokers who quit after Wave 1, persistent smokers had remarkably stable smoking behaviors, including significantly higher proportions of everyday smokers, consuming 10+ cigarettes per day, and smoking within 30 min of waking up. Persistent smokers were also less likely to try to quit completely, and experienced more negative symptoms from nicotine withdrawal. They also showed less interest in quitting and were less confident of being successful than smokers who quit by the next wave. Neither electronic nicotine delivery systems nor menthol played a role in continued smoking or quitting.

Conclusions

The characteristics and behaviors of persistent smokers in this study were stable over five waves of data collection during a six-year period, suggesting that these smokers need new cessation options.

Comparison of smoking prevalence in Canada before and after nicotine vaping product access using the SimSmoke model

OBJECTIVES

The public health impact of nicotine vaping products (NVPs) is subject to complex transitions between NVP and cigarette use. To circumvent the data limitations and parameter instability challenges in modeling transitions, we indirectly estimate NVPs' impact on smoking prevalence and resulting smoking-attributable deaths using the SimSmoke simulation model.

METHODS

Canada SimSmoke uses age- and sex-specific data on Canadian population, smoking prevalence and tobacco control policies. The model incorporates the impact of cigarette-oriented policies on smoking prevalence but not the explicit contribution of NVPs. The model was calibrated from 1999 to 2012, thereby projecting smoking prevalence before NVPs were widely used in Canada. The NVP impact on smoking prevalence is inferred by comparing projected 2012-2020 smoking trends absent NVPs to corresponding trends from two Canadian national surveys. We further distinguish impacts before and after NVPs became regulated in 2018 and more available.

RESULTS

Comparing 2012-2020 survey data of post-NVP to SimSmoke projected smoking prevalence trends, one survey indicated an NVP-related relative reduction of 15% (15%) for males (females) age 15+, but 32% (52%) for those ages 15-24. The other survey indicated a 14% (19%) NVP-related smoking reduction for ages 18+, but 42% (53%) for persons ages 18-24. Much of the gain occurred since Canada relaxed NVP restrictions. NVP-related 2012-2020 smoking reductions yielded 100,000 smoking-attributable deaths averted from 2012 to 2060.

CONCLUSION

Smoking prevalence in Canada, especially among younger adults, declined more rapidly once NVPs became readily available. The emergence of NVPs into the Canadian marketplace has not slowed the decline in smoking.

Comparative risk perceptions of switching to JUUL vs. continued smoking and subsequent switching away from cigarettes: a longitudinal observational study

BACKGROUND

Evidence indicates that electronic nicotine delivery systems (ENDS) pose lower risk than cigarettes; however, many smokers harbor misperceptions that ENDS are equally or more harmful, possibly deterring them from switching. This study examines whether comparative risk perceptions of JUUL vs. smoking are associated with subsequent switching, among smokers who recently purchased JUUL.

METHODS

N = 16,996 current established smokers who recently purchased a JUUL Starter Kit were followed 6 times over 12 months. Comparative risk perceptions were assessed using both direct and indirect measures (i.e., contrasting JUUL and smoking directly in questions, and deriving from separate absolute scales). Repeated-measures logistic regression examined switching across follow-up (no smoking in past 30 days) as a function of baseline risk perceptions, adjusting for demographics and baseline smoking behavior.

RESULTS

Perceiving JUUL as less harmful than smoking was associated with higher switching rates, using both direct (e.g., adjusted odds ratio [AOR] = 1.48 for "JUUL much less" vs. "more/much more harmful") and indirect (AOR = 1.07, for each 10-unit increase in fraction; AOR = 1.51 for highest (6-100) vs. lowest (0 to < 1) fraction categories) comparative risk measures (all p < 0.0001). Among the subset smoking 10 + cigarettes per day, associations between risk perceptions and switching were more pronounced (AOR = 2.51 for "JUUL much less" vs. "more/much more harmful"; AOR = 1.81 for 6-100 vs. 0 to < 1 fraction, both p < 0.0001).

CONCLUSIONS

Smokers who perceive JUUL as less harmful than cigarettes have higher odds of switching. Future research should examine whether messaging which aligns comparative risk perceptions with current evidence can facilitate switching, especially among heavier smokers.

Smoking reduction using electronic nicotine delivery systems in combination with nicotine skin patches

RATIONALE

Electronic nicotine delivery systems (ENDS) are used by smokers seeking to reduce combustible cigarette (CC) use, but the role of nicotine replacement vs. behavioral and sensory factors is still poorly understood. We hypothesized that providing nicotine from ENDS in addition to nicotine skin patches would promote smoking reduction relative to non-nicotine control ENDS.

OBJECTIVES

To assess the effects on smoking behavior of using nicotine vs. placebo ENDS in smokers using nicotine vs. placebo patches.

METHODS

Ninety-four daily smokers were enrolled in a study that randomly assigned them to receive ENDS with nicotine vs. without nicotine and skin patches with vs. without nicotine. Smoking reduction and cessation were assessed over an 8-week period by self-report and by expired air carbon monoxide (CO) measurements. The primary outcome was defined as reduction in expired air CO.

RESULTS

The use of nicotine in ENDS led to significant reductions in smoking (ENDS nicotine vs. placebo difference in CO change = -9.2 ppm; 90% CI (-1.5 ppm, -16.9 ppm)) and was highly correlated with reductions in self-reported cigarettes per day (r=0.6). The effect of nicotine in nicotine patches was not statistically significant (patch nicotine vs. placebo difference in CO change = -0.1 ppm; 90% CI (-7.8 ppm, 7.6 ppm)).

CONCLUSIONS

The presence of nicotine in ENDS was associated with a large reduction in smoking. Additional studies will be needed to determine whether there may be additive effects of nicotine ENDS and nicotine patches on smoking abstinence.

Older age is associated with greater misperception of the relative health risk of e-cigarettes and cigarettes among US adults who smoke

INTRODUCTION

The prevalence of cigarette smoking among adults aged ≥55 has remained stagnant over the past decade. National data modelling suggests no reduction in cigarette smoking prevalence attributable to e-cigarette use in the USA among people aged ≥45. Misperceptions about the absolute risks (ie, cigarettes are not harmful) and relative risks (ie, e-cigarettes are more harmful than cigarettes) of tobacco products may contribute to sustained smoking prevalence and hesitancy to switch from cigarettes to e-cigarettes among older adults.

METHODS

Participants reported cigarette use (n=8072) at Wave 5 (2018-2019) of the Population Assessment of Tobacco and Health Study. Weighted multivariable logistic regressions included six age categories (independent variable) and cigarette and e-cigarette risk perceptions (outcomes). Additional models assessed the associations between dichotomous age (≥55 vs 18-54), risk perceptions and an interaction term (independent variables) with past 12-month quit attempts and past-month e-cigarette use (outcomes).

RESULTS

Adults aged ≥65 were less likely than adults aged 18-24 to rate cigarettes as very/extremely harmful (p<0.05). Odds of rating e-cigarettes as more harmful than cigarettes among adults aged 55-64 and ≥65 were 1.71 (p<0.001) and 1.43 (p=0.024) greater than for adults aged 18-24. This misperception was negatively associated with past-month e-cigarette use and was stronger among adults aged ≥55 (p<0.001) than adults aged <55 (p<0.001).

DISCUSSION

Adults aged ≥55 are more likely to have misperceptions about the absolute and relative risks of tobacco products, which may contribute to continued smoking. Health communications targeting this age group could modify beliefs about the perceived harms of tobacco products.

Associations between nicotine vaping uptake and cigarette smoking cessation vary by smokers' plans to quit: longitudinal findings from the International Tobacco Control Four Country Smoking and Vaping Surveys

BACKGROUND AND AIMS

Most population studies that evaluate the relationship between nicotine vaping and cigarette cessation focus on limited segments of the smoker population. We evaluated vaping uptake and smoking cessation considering differences in smokers' plans to quit.

DESIGN

Longitudinal International Tobacco Control (ITC) Four Country Smoking and Vaping Surveys were conducted in 2016, 2018 and 2020.

SETTING

This study was conducted in the United States, Canada, England and Australia.

PARTICIPANTS

Participants of this study were adult daily cigarette smokers who had not vaped in the past 6 months at baseline and had participated in two or more consecutive waves of the ITC Four Country Smoking and Vaping Surveys (n = 2815).

MEASUREMENTS

Plans to quit cigarette smoking was assessed at baseline (within 6 months, beyond 6 months, not planning to quit) and at follow-up (within 6 months vs not within 6 months), cigarette smoking cessation was assessed at follow-up (smoking less than monthly [including complete cessation] vs daily/weekly/monthly smoking) and inter-wave vaping uptake was assesed between baseline and follow-up (none, only non-daily vaping and any daily vaping). Generalized estimating equations were used to evaluate whether inter-wave vaping uptake was associated with smoking cessation at follow-up and with planning to quit at follow-up, each stratified by plans to quit smoking at baseline.

FINDINGS

Overall, 12.7% of smokers quit smoking. Smokers not initially planning to quit within 6 months experienced higher odds of smoking cessation when they took up daily vaping (32.4%) versus no vaping (6.8%; adjusted odds ratio [AOR], 8.58; 95% CI, 5.06-14.54). Among smokers planning to quit, smoking cessation rates were similar between those who did and did not take up daily vaping (25.1% vs 16.8%; AOR, 1.91; 95% CI, 0.91-4.00), although we could not account for potential use of cessation aids. Daily vaping uptake was associated with planning to quit smoking at follow-up among those initially not planning to quit (AOR,6.32; 95% CI, 4.17-9.59).

CONCLUSIONS

Uptake of nicotine vaping appears to be strongly associated with cigarette smoking cessation among smokers with no initial plans to quit smoking. Excluding smokers not planning to quit from studies on vaping and smoking cessation may underestimate potential benefit of daily vaping for daily smokers.

STOP- a training intervention to optimise treatment for smoking cessation in community pharmacies: cluster randomised controlled trial

BACKGROUND

Community pharmacies serve people with high levels of tobacco-related illness, but throughput in NHS Stop Smoking Services in pharmacies remains relatively low. We investigated the effectiveness of a complex intervention to increase service uptake and retention.

METHODS

We randomised 60 pharmacies in England and Wales to the STOP intervention or usual practice in a pragmatic, parallel-group, controlled trial over 11 months. Smokers were blind to the allocation. The intervention was theory-based consultation skills training for pharmacy staff with environmental prompts (badges, calendars and behavioural cues). The primary outcome was the number of smokers attending an initial consultation and setting a quit date.

RESULTS

The intervention made no significant difference in setting a quit date, retention or quit rate. A total of 631 adult smokers (service users) enrolled and set a quit date in intervention pharmacies compared to 641 in usual practice pharmacies, a rate ratio of 0.75 (95% CI 0.46 to 1.23) adjusted for site and number of prescriptions. A total of 432 (68%) service users were retained at 4 weeks in intervention and 500 (78%) in usual practice pharmacies (odds ratio 0.80, 0.41 to 1.55). A total of 265 (42%) service users quit smoking at 4 weeks in intervention and 276 (43%) in usual practice pharmacies (0.96, 0.65 to 1.43). The pharmacy staff were positive about the intervention with 90% (56/62) stating that it had improved their skills. Sixty-eight per cent would strongly recommend the training to others although there was no difference in self-efficacy for service delivery between arms. Seventy of 131 (53%) service users did not complete the 6-month follow-up assessment. However, 55/61 (90%) service users who completed follow-up were satisfied or very satisfied with the service. All usual practice arm service users (n = 33) and all but one in the intervention arm (n = 27) would recommend the service to smokers.

CONCLUSIONS

We found high levels of retention and acceptable quit rates in the NHS pharmacy stop smoking service. Despite pharmacy staff providing positive feedback on the STOP intervention, it made no difference to service throughput. Thus, other factors may currently limit service capacity to help smokers to quit.

TRIAL REGISTRATION

ISRCTN, ISRCTN16351033 . Retrospectively registered.

Association of e-Cigarette Use With Discontinuation of Cigarette Smoking Among Adult Smokers Who Were Initially Never Planning to Quit

IMPORTANCE

Cigarette smokers not planning to quit are often overlooked in population studies evaluating the risk-benefit potential of electronic nicotine delivery products (e-cigarettes).

OBJECTIVE

To evaluate whether e-cigarette use is associated with discontinuing cigarette smoking among smokers who were initially never planning to quit.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used US nationally representative data from the longitudinal Population Assessment of Tobacco and Health Study (waves 2-5 conducted between October 2014 and November 2019), with participants evaluated in 3 pairs of interviews. Adult daily cigarette smokers initially not using e-cigarettes and with no plans to ever quit smoking for good (2489 observations from 1600 individuals) were included.

EXPOSURES

e-Cigarette use (ie, daily use, nondaily use, or no use) at follow-up interview among smokers not using e-cigarettes at baseline interview.

MAIN OUTCOMES AND MEASURES

The main outcomes were discontinuation of cigarette smoking (ie, no cigarette smoking) and discontinuation of daily cigarette smoking (ie, no daily cigarette smoking) at follow-up interview. Generalized estimating equations were used to evaluate the association between the exposure and each outcome, controlling for demographic characteristics and cigarettes smoked per day at baseline interview; all estimates were weighted.

RESULTS

The weighted population of adult daily cigarette smokers who were not using e-cigarettes and had no plans to ever quit smoking, based on data from 1600 participants, was 56.1% male (95% CI, 53.4%-58.7%), 10.1% Hispanic (95% CI, 8.2%-12.3%), 10.1% non-Hispanic Black (95% CI, 8.7%-11.7%), 75.6% non-Hispanic White (95% CI, 72.9%-78.2%), and 4.2% of other non-Hispanic race (95% CI, 3.3%-5.4%); 29.3% were aged 55 to 69 years (95% CI, 26.2%-32.6%), 8.9% were aged 70 years or older (95% CI, 6.8%-11.5%), 36.8% did not graduate from high school (95% CI, 34.1%-39.6%), 55.2% had an annual household income of less than $25 000 (95% CI, 52.3%-58.1%), 37.6% smoked 20 to 29 cigarettes per day (95% CI, 34.7%-40.6%), and 12.7% smoked 30 or more cigarettes per day (95% CI, 10.9%-14.7%). Overall, 6.2% of the population (95% CI, 5.0%-7.5%) discontinued cigarette smoking. Discontinuation rates were higher among those who used e-cigarettes daily (28.0%; 95% CI, 15.2%-45.9%) compared with not at all (5.8%; 95% CI, 4.7%-7.2%; adjusted odds ratio [aOR], 8.11; 95% CI, 3.14-20.97). Furthermore, 10.7% (95% CI, 9.1%-12.5%) discontinued daily cigarette smoking, with higher rates of discontinuation observed among those who used e-cigarettes daily (45.5%; 95% CI, 27.4%-64.9%) compared with not at all (9.9%; 95% CI, 8.2%-11.8%; aOR, 9.67; 95% CI, 4.02-23.25). Nondaily e-cigarette use was not associated with cigarette discontinuation (aOR, 0.53; 95% CI, 0.08-3.35) or daily cigarette discontinuation (aOR, 0.96; 95% CI, 0.44-2.09).

CONCLUSIONS AND RELEVANCE

In this cohort study, daily e-cigarette use was associated with greater odds of cigarette discontinuation among smokers who initially had no plans to ever quit smoking. These findings support the consideration of smokers who are not planning to quit when evaluating the risk-benefit potential of e-cigarettes for smoking cessation in the population.