Natural history of attempts to stop smoking

Changes in smoking use and subsequent lung cancer risk in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study

BACKGROUND

Reducing cigarettes per day may lower the risk of lung cancer compared with continuing to smoke at the same intensity. Other changes in smoking behaviors, such as increasing cigarette consumption or quitting for a period and relapsing, may also affect lung cancer risk.

METHODS

We examined changes in smoking status and cigarettes per day among 24 613 Finnish male smokers aged 50-69 years who participated in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study. Longitudinal data on smoking were collected during study follow-up visits 3 times a year (approximately every 4 months) between 1985 and 1993. Incident lung cancer patients through 2012 were identified by the Finnish Cancer Registry. Risk ratios (RRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards regression.

RESULTS

Compared with smoking 20 cigarettes per day continuously across the intervention period, reducing an average of 5 cigarettes per day per year while smoking was associated with a 20% lower risk of lung cancer (95% CI = 0.71 to 0.90). A substantially lower risk of lung cancer was also observed when participants smoked at 50% (RR = 0.72, 95% CI = 0.57 to 0.90) and 10% (RR = 0.55, 95% CI = 0.36 to 0.83) of study visits, relative to smoked at 100% of study visits.

CONCLUSIONS

Smokers may lower their risk of lung cancer by reducing smoking intensity (cigarettes per day while smoking) and the time they smoke. However, quitting smoking completely is the most effective way for smokers to reduce their risk of lung cancer.

An overview of systematic reviews on predictors of smoking cessation among young people

Understanding the factors that influence smoking cessation among young people is crucial for planning targeted cessation approaches. The objective of this review was to comprehensively summarize evidence for predictors of different smoking cessation related behaviors among young people from currently available systematic reviews. We searched six databases and reference lists of the included articles for studies published up to October 20, 2023. All systematic reviews summarizing predictors of intention to quit smoking, quit attempts, or smoking abstinence among people aged 10-35 years were included. We excluded reviews on effectiveness of smoking cessation intervention; smoking prevention and other smoking behaviors; cessation of other tobacco products use, dual use, and polysubstance use. We categorized the identified predictors into 5 different categories for 3 overlapping age groups. JBI critical appraisal tool and GRADE-CERqual approach were used for quality and certainty assessment respectively. A total of 11 systematic reviews were included in this study; all summarized predictors of smoking abstinence/quit attempts and two also identified predictors of intention to quit smoking. Seven reviews had satisfactory critical appraisal score and there was minimal overlapping between the reviews. We found 4 'possible' predictors of intention to quit smoking and 119 predictors of smoking abstinence/quit attempts. Most of these 119 predictors were applicable for ~10-29 years age group. We had moderate confidence on the 'probable', 'possible', 'insufficient evidence', and 'inconsistent direction' predictors and low confidence on the 'probably unrelated' factors. The 'probable' predictors include a wide variety of socio-demographic factors, nicotine dependence, mental health, attitudes, behavioral and psychological factors, peer and family related factors, and jurisdictional policies. These predictors can guide improvement of existing smoking cessation interventions or planning of new targeted intervention programs. Other predictors as well as predictors of intention to quit smoking need to be further investigated among adolescents and young adults separately.

Comparative cross-sectional study of knowledge, attitudes and perceptions among mental health and ward nursing staff towards smoking

AIM

The aim of the study was twofold: to estimate smoking prevalence among nurses and to compare their knowledge, perceptions and attitudes towards smoking.

BACKGROUND

Given the critical role nurses have in the process of patients' smoking cessation both as counsellors and behavioural models, data are needed on their smoking rates and behaviour.

DESIGN

A cross sectional, comparative study was conducted.

METHODS

A convenience sample of 847 nurses working in various psychiatric and public hospitals in Northern Greece participated in the study. Data were collected between April and June 2020 using a battery of questionnaires.

RESULTS

Mental health nurses were less likely to consider quitting smoking within the next 6 months (P < 0.001), despite the fact that they reported higher levels of the importance of stop smoking compared to ward nurses (P < 0.05). However, ward nurses were more likely to quit smoking because of the cost of cigarettes (P = 0.024) and for personal reasons (P = 0.040).

CONCLUSION

Prevalence of smoking in nurses is high. Training and educational programmes are needed to develop the appropriate culture of health promotion among nurses, thus provide a more active support to patients who smoke.

Should Nicotine Replacement Therapy be Provided Free of Charge? A Cost-Utility Analysis in Sweden

INTRODUCTION

Treatment with nicotine replacement therapy (NRT) during an attempt to quit smoking increases the likelihood of success by about 55%. However, out-of-pocket payment for NRT can hinder its use.

AIMS AND METHODS

This study aims therefore to assess the cost-effectiveness of subsidizing NRT in Sweden. A homogeneous cohort-based Markov model was used to assess the lifetime costs and effects of subsidized NRT from a payer and societal perspective. Data to populate the model were retrieved from the literature, and selected parameters were varied in deterministic and probabilistic sensitivity analyses to assess robustness of model outputs. Costs are presented in USD, year 2021.

RESULTS

A 12-week treatment with NRT was estimated to cost USD 632 (474-790) per person. From a societal perspective, subsidized NRT was a cost-saving alternative in 98.5% of the simulations. NRT is cost-saving across all ages, but the health and economic gains are somewhat larger among younger smokers from a societal perspective. When a payer perspective was used, the incremental cost-effectiveness ratio was estimated at 14 480 (11 721-18 515) USD per QALY which was cost-effective at a willingness to pay of 50 000 USD per QALY in 100 % of the simulations. Results were robust with realistic changes in the inputs during scenario and sensitivity analyses.

CONCLUSIONS

Subsidizing NRT is potentially a cost-saving smoking cessation strategy from a societal perspective and cost-effective from a payer perspective.

IMPLICATIONS

This study found that subsidizing NRT is potentially a cost-saving smoking cessation policy alternative compared to current practice from a societal perspective. From a healthcare payer perspective, subsidizing NRT is estimated to cost USD 14 480 to gain an extra QALY. NRT is cost-saving across all ages, but the health and economic gains are somewhat larger among younger smokers from a societal perspective. Moreover, subsidizing NRT removes the financial barriers that are mostly faced by socioeconomically disadvantaged smokers which might reduce health inequalities. Thus, future economic evaluations should further investigate the health inequality impacts with methods that are more suitable for this.

Psychiatric symptoms and intentions to quit smoking: How regularity and volume of cigarette consumption moderate the relationship

INTRODUCTION

Smoking prevalence is disproportionately higher in those with psychiatric symptoms. Smokers with psychiatric symptoms are less likely to have an intention to quit smoking and attain eventual smoking abstinence. This study presents the relationship between depressive/anxiety symptoms and the intention to quit smoking and related influencing factors.

METHODS

A cross-sectional study recruited 931 current smoking individuals covering two provinces in China in July 2022. The online survey comprised questions concerning sociodemographic characteristics, smoking conditions and psychiatric symptoms. Chi-squared analyses and moderation analyses were applied.

RESULTS

The proportion of smokers who had the intention to quit smoking within six months was 46.1%. In comparison with subjects without depressive/anxiety symptoms, individuals who had both psychiatric symptoms were less likely to have the intention to quit smoking (39.3% vs 49.8%, χ²=9.130, p=0.028). As for the moderating model of depression, the interaction term of depressive symptoms and smoking regularly was significant (β=0.554, t=3.260, p=0.001). For those who were occasional smokers, depressive symptoms significantly lowered their quitting intentions. The regularity of smoking similarly moderated the effect of anxiety symptoms on quitting intentions. When the number of cigarettes used weekly served as the moderator, the interaction of this number and depressive symptoms was significant, as well as for anxiety (p<0.001), indicating that the volume of cigarette consumption moderated the relationship between depressive/anxiety symptoms and intention to quit smoking.

CONCLUSIONS

Psychiatric symptoms were significant factors in reducing the willingness of smokers to quit smoking, and the effects were moderated by smokers' cigarette consumption conditions. Interventions are urged to enhance quitting intentions of these vulnerable smokers.

Examining the latent factor structure of a hypothetical cigarette purchase task among pregnant women

The cigarette purchase task (CPT) is a valid behavioral-economic measure of demand that has smokers estimate hypothetical cigarette consumption under a range of escalating prices. The task involves no experimenter exposure of participants to smoking. CPT demand is measured in terms of five indices: intensity (cigarettes consumed at $0), Omax (largest expenditure), Pmax (price associated with peak expenditure), breakpoint (the first price at which consumption is 0), and elasticity (rate at which consumption changes as a function of increasing price). Out of concern for collinearity, prior studies investigated a more parsimonious CPT latent-factor structure for these derived indices consisting of two factors. The present study examined whether the same two latent-factor solutions extend to pregnant women who smoke. Six hundred sixty-five women completed the CPT as part of recruitment for a clinical trial examining the efficacy of a remote contingency-management intervention to promote smoking cessation during pregnancy. Factor analysis confirmed a two-factor solution to the CPT accounting for 87% of the variance in the five indices with demand intensity and Omax loading onto amplitude and Omax, Pmax, breakpoint, and elasticity loading onto persistence. Backward elimination regression revealed a significant negative relationship between amplitude and persistence (i.e., lower amplitude and persistence scores predicted a higher likelihood of making at least one quit attempt upon learning of pregnancy). These results further support the utility of the CPT for experimentally examining individual differences in smoking among pregnant women in an efficient and ethical manner that does not involve exposing them to cigarette smoke. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Evaluation Of Smoking Cessation Treatment Success and Related Factors in Adults Age 65 Years and Older

OBJECTIVES

The aim was to evaluate smoking cessation treatment success and factors associated in older adults.

METHODS

In the retrospective cohort study, the patients' sociodemographic data, smoking history, Fagerström Test for Nicotine Dependence scores (FTND), type of treatments (Pharmacological treatments, behavioral counseling, and/or both) and the number of follow-up sessions in the Smoking Cessation Outpatient Clinic were taken from hospital files of the patients. Treatment success was evaluated as one year of abstinence from smoking.

RESULTS

Participants' reported with 53% classified as high-very high nicotine dependence. Overall, 36% reported abstinence from smoking for one year or more. Treatment success was associated with higher attendance at follow-up sessions. Using pharmacologic treatments and behavioral counseling together was proved to be more effective than behavioral counseling alone.

CONCLUSIONS

One-year smoking cessation was achieved in one-third of older adults attending a smoking cessation clinic. In older adults in this sample low FTND scores, use of combined pharmacologic and behavioral treatment, and attendance at follow up sessions were associated with one year smoking abstinence.

CLINICAL IMPLICATIONS

Older adults should be referred for smoking cessation treatment. Use of combined pharmacological and behavioral counseling is recommended. Efforts to enhance attendance at follow-up sessions should be considered.

A Daily Assessment Study of Smoking Cessation After a Head and Neck Cancer Diagnosis

INTRODUCTION

This intensive longitudinal study describes key events in the process of smoking cessation after a new head and neck cancer (HNC) diagnosis. Prior longitudinal studies show some cancer patients quit, while others continue to smoke, but details about the pattern in which these discrete outcomes arise are scarce. This study is meant to help rectify this gap in the literature.

AIMS AND METHODS

Participants were 42 HNC patients who reported current smoking at enrollment. Participants were recruited from an outpatient oncology clinic and completed a baseline questionnaire prior to begin a 30-day daily assessment.

RESULTS

Few participants (9.52%) achieved 30-day continuous abstinence from smoking. On average, participants reported 9.64 ± 11.93 total days of abstinence. Nearly, all (94.44%, n = 34) participants made at least one quit attempt, with an average of 16.94 ± 11.30 quit attempt days. Fewer participants were able to achieve a 24-hour quit attempt (52.78%, n = 19), with a corresponding average of 5.50 ± 8.69 24-hour days. The median time to first 24-hour quit attempt was 13 days after enrollment. Based on smoking behavioral patterns, participants were categorized into five groups, the most common being "persistent attempters," which involved unsuccessful quit attempts throughout the study. Only 45% of participants (n = 19) used evidence-based treatment, the most common being cessation medication.

CONCLUSIONS

This intensive longitudinal study found that cancer diagnosis can spur a lot of efforts to quit smoking. Unfortunately, this study suggests that many quit attempts are short lived, possibly a result of an absence or insufficient use of evidence-based treatments.

IMPLICATIONS

For adults who are current smokers at the time of cancer diagnosis, there is a high likelihood of persistent cigarette smoking and use of other tobacco products in the weeks and months after a cancer diagnosis. Furthermore, this study shows that while a lot of quit attempts may occur, few are successful, which may be partly attributable to the low use of evidence-based tobacco treatment. Future research with cancer patients should aim to identify predictors of quit attempts and abstinence as well as treatment utilization.

Anesthesiologists and the Other Pandemic: Tobacco Use

Tobacco use will kill a projected 1 billion people in the 21st century in one of the deadliest pandemics in history. Tobacco use disorder is a disease with a natural history, pathophysiology, and effective treatment options. Anesthesiologists can play a unique role in fighting this pandemic, providing both immediate (reduction in perioperative risk) and long-term (reduction in tobacco-related diseases) benefits to their patients who are its victims. Receiving surgery is one of the most powerful stimuli to quit tobacco. Tobacco treatments that combine counseling and pharmacotherapy (e.g., nicotine replacement therapy) can further increase quit rates and reduce risk of morbidity such as pulmonary and wound-related complications. The perioperative setting provides a great opportunity to implement multimodal perianesthesia tobacco treatment, which combines multiple evidence-based tactics to implement the four core components of consistent ascertainment and documentation of tobacco use, advice to quit, access to pharmacotherapy, and referral to counseling resources.

Nicotine Addiction: A Burning Issue in Addiction Psychiatry

Addressing nicotine addiction has been given a low priority, compared with other substance use disorders (SUDs), by the addiction treatment field. Persons with nicotine addiction are reluctant to attempt to stop using nicotine products-despite recognizing it to be a problem-because they are feeling discouraged by multiple past unsuccessful attempts at quitting. By understanding that discouragement is a frequent reason that these people are in Precontemplation and by using traditional clinical interventions applied to other SUDs, clinicians could achieve better overall treatment outcomes.

Tobacco Use and Treatment of Tobacco Dependence Among People With Human Immunodeficiency Virus: A Practical Guide for Clinicians

More than 40% of people with human immunodeficiency virus (PWH) in the United States smoke tobacco cigarettes. Among those on antiretroviral therapy, smoking decreases life expectancy more than human immunodeficiency virus (HIV) itself. Most PWH who smoke want to quit, but tobacco dependence treatment has not been widely integrated into HIV care. This article summarizes the epidemiology of tobacco use among PWH, health consequences of tobacco use and benefits of cessation in PWH, and studies of treatment for tobacco dependence among the general population and among PWH. We provide practical guidance for providers to treat tobacco dependence among PWH. A 3-step Ask-Advise-Connect framework includes asking about tobacco use routinely during clinical encounters, advising about tobacco cessation with emphasis on the benefits of cessation, and actively connecting patients to cessation treatments, including prescription of pharmacotherapy (preferably varenicline) and direct connection to behavioral interventions via telephone quitline or other means to increase the likelihood of a successful quit attempt.

Associations between smoking to relieve stress, motivation to stop and quit attempts across the social spectrum: A population survey in England

Smoking prevalence in several high-income countries is steadily declining but remains persistently high in 'lower' socioeconomic position (SEP) groups, contributing to inequities in morbidity and mortality. Smoking to relieve stress is a commonly endorsed motive for continued smoking; however, it remains unclear whether smoking to relieve stress has a negative impact on motivation to stop and future quit attempts and if so, whether associations are moderated by SEP. This was an observational study with cross-sectional and prospective survey data from the nationally representative Smoking Toolkit Study in England. A total of 1,135 adult smokers were surveyed at baseline, with 153 (13.5%) respondents followed up at 12 months. Respondents provided information on demographic, social and smoking characteristics. A series of multivariable logistic regression analyses was conducted. Bayes Factors (BFs) were calculated to explore non-significant associations. Smoking to relieve stress was commonly endorsed by respondents from both 'lower' (43.2% [95% CI = 39.4%, 47.0%]) and 'higher' (40.5% [95% CI = 35.9%, 45.1%]) SEP groups (p = 0.39). Smoking to relieve stress was associated with high motivation to stop at baseline (ORadj = 1.48, 95% CI = 1.03-2.12, p = 0.035) but not significantly with the odds of making a quit attempt at a 12-month follow-up, although the magnitude and direction of the effect was similar to that observed for high motivation to stop (ORadj = 1.49, 95% CI = 0.69-3.20, p = 0.3). Data were insensitive to detect moderation effects of SEP (BF = 0.90 and BF = 1.65, respectively). Smoking to relieve stress is a commonly endorsed motive and is associated with high motivation to stop but not significantly with the odds of making a quit attempt in the next 12 months, although the magnitude and direction of the effect was similar for both outcomes. There was no clear evidence of moderation by SEP, although data were insensitive to distinguish the alternative from the null hypothesis.

Estimated Failure to Report Unsuccessful Quit Attempts by Type of Cessation Aid: A Population Survey of Smokers in England

Introduction

It has been estimated that smokers tend to fail to report unsuccessful quit attempts that lasted a short time and occurred a longer time ago. However, it is unclear whether the failure to report unsuccessful quit attempts varies by the type of cessation aid used.

Methods

A total of 5,892 smokers aged 16+ years who had made 1+ quit attempts in the past year were surveyed between January 2014 and December 2020 as part of the Smoking Toolkit Study. Respondents indicated when their most recent quit attempt started, how long it lasted, and which cessation aid(s) were used (e.g., unaided, varenicline, and behavioural support). The percentage failure to report for each cessation aid and 95% bootstrap confidence intervals (CIs) were estimated with an established method. Test for equality of proportions was performed to examine whether quit attempts lasting between one day and one week and that started >6 months ago failed to be reported at a different rate depending on the cessation aid used.

Results

We estimated that after three months, 97% (95% CI = 96%-98%) of unaided quit attempts lasting less than one day, 80% (95% CI = 79%-81%) of those lasting between one day and one week, and 60% (95% CI = 59%-61%) of those lasting between one week and one month fail to be reported. Compared with unaided attempts, the estimated percentage failure to report quit attempts that lasted between one day and one week and that started >6 months ago was significantly lower for attempts involving behavioural support (92% of unaided attempts vs. 75% of attempts involving behavioural support, χ ²(1) = 9.29, p = 0.002). No other significant differences were detected.

Conclusions

Smokers in England appear to fail to report a substantial proportion of unsuccessful quit attempts. This failure appears particularly prominent for attempts that last a short time or occurred longer ago and appears lower for attempts involving behavioural support compared with unaided attempts.

Treatment of Tobacco Smoking: A Review

IMPORTANCE

More deaths in the US are attributed to cigarette smoking each year than to any other preventable cause. Approximately 34 million people and an estimated 14% of adults in the US smoke cigarettes. If they stopped smoking, they could reduce their risk of tobacco-related morbidity and mortality and potentially gain up to 10 years of life.

OBSERVATIONS

Tobacco smoking is a chronic disorder maintained by physical nicotine dependence and learned behaviors. Approximately 70% of people who smoke cigarettes want to quit smoking. However, individuals who attempt to quit smoking make an average of approximately 6 quit attempts before achieving long-term abstinence. Both behavioral counseling and pharmacotherapy while using nicotine replacement therapy (NRT) products, varenicline, or bupropion are effective treatments when used individually, but they are most effective when combined. In a meta-analysis including 19 488 people who smoked cigarettes, the combination of medication and behavioral counseling was associated with a quit rate of 15.2% over 6 months compared with a quit rate of 8.6% with brief advice or usual care. The EAGLES trial, a randomized double-blind clinical trial of 8144 people who smoked, directly compared the efficacy and safety of varenicline, bupropion, nicotine patch, and placebo and found a significantly higher 6-month quit rate for varenicline (21.8%) than for bupropion (16.2%) and the nicotine patch (15.7%). Each therapy was more effective than placebo (9.4%). Combining a nicotine patch with other NRT products is more effective than use of a single NRT product. Combining drugs with different mechanisms of action, such as varenicline and NRT, has increased quit rates in some studies compared with use of a single product. Brief or intensive behavioral support can be delivered effectively in person or by telephone, text messages, or the internet. The combination of a clinician's brief advice to quit and assistance to obtain tobacco cessation treatment is effective when routinely administered to tobacco users in virtually all health care settings.

CONCLUSIONS AND RELEVANCE

Approximately 34 million people in the US smoke cigarettes and could potentially gain up to a decade of life expectancy by stopping smoking. First-line therapy should include both pharmacotherapy and behavioral support, with varenicline or combination NRT as preferred initial interventions.

A population-level analysis of changes in Australian smokers' preferences for smoking cessation support over two decades - from 1998 to 2017

Background

Encouraging and assisting smokers to quit remains a key public health goal. Government and commercial initiatives have nudged smokers towards supported cessation. We tracked long-term trends in Australian smokers’ quit attempt methods across 20 years.

Methods

Data from 11,917 smokers were collected from an annual, cross-sectional, face-to-face, random and representative population survey. The survey measured demographic characteristics, tobacco use, recent quit attempts, nicotine dependence, quit intentions, and recent methods used when attempting to quit. Quit attempt preferences were analysed over time and by smoker characteristics.

Findings

Each year, more smokers attempted to quit than remained quit, with a stable trend over time. Socioeconomic disadvantage and mental health conditions are more likely among smokers, but there was no difference in quit attempts by these characteristics. Quit attempts have risen among those aged 60 years and over whereas other age groups have remained stable. Although trending downwards, unassisted quitting remained the most common method: 1998: 61% and 2017: 40%. Asking a doctor for help/advice (34%) was the most common assisted method in 2017, increasing from 18% in 1998. Methods of quitting varied by smoker characteristics, with supported methods used more often by older, more dependent, socio-economically disadvantaged smokers and those with a mental health condition.

Interpretation

The relative stability of recent quit attempts, persistence in unassisted quitting, and fluctuating preferences for supported cessation methods indicate that it is important for clinicians and policy makers to continue to support quit attempts through a variety of options, tailored to smoker's needs.

Characteristics associated with treatment seeking for smoking cessation among heavy-drinking research participants

OBJECTIVE

Treatment seeking for smoking cessation has tremendous clinical implications with the potential to reduce tobacco-related morbidity and mortality. The present study seeks to elucidate clinical variables that distinguish treatment seeking versus non-treatment seeking status for smoking cessation in a large sample of heavy drinking smokers using data-driven methods.

MATERIALS AND METHODS

This secondary data analysis examines n = 911 (n = 267 female) individuals who were daily smokers and heavy drinkers (≥ 7 drinks per week for women, ≥ 14 for men) that were enrolled in either a treatment-seeking study (N = 450) or a non-treatment seeking study (N = 461) using identical pharmacotherapies. Participants completed measures of demographics, alcohol and cigarette use, alcohol craving, the Barratt Impulsiveness Scale (BIS-11), and the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68). These measures were used in a random forest model to identify predictors of treatment seeking status.

RESULTS

The top variables of importance in identifying treatment seeking status were: age, drinks per drinking day, cigarettes per smoking day, BIS-11 cognitive impulsivity, WISDM social environmental goads, WISDM loss of control, WISDM craving, and WISDM tolerance. Age and drinks per drinking day were two of the most robust predictors, followed by measures of nicotine craving and tolerance.

CONCLUSION

Individuals who are daily smokers and consume more drinks per drinking day are less likely to belong to the smoking cessationtreatment-seeking group. Targeting heavy drinking smokers, particularly younger individuals, may be necessary to engage this group in smoking cessation efforts and to reduce the burden of disease of nicotine dependence earlier in the lifespan.

Factors associated with past-year attempts to quit e-cigarettes among current users: Findings from the Population Assessment of Tobacco and Health Wave 4 (2017-2018)

Over 10 million adults report use of electronic nicotine delivery systems (ENDS), with approximately 3.6 million reporting daily use. Even as the popularity of ENDS has increased, both as an available nicotine delivery system and an alternative to combustible cigarette smoking, few studies to date have examined ENDS cessation interest and related behaviors among ENDS users. The current study aimed to describe past year attempts to quit ENDS among current users and to investigate ENDS use / user characteristics associated with unsuccessful attempts to quit in the past year among adult, current, established ENDS users using data from the Population Assessment of Tobacco and Health (PATH) Study Wave 4. Over 10 % of ENDS users reported an attempt to quit completely in the past year, and 60 % indicated future intention to quit completely. Higher nicotine dependence, lower-frequency ENDS use, and higher interest in quitting were associated with past year attempts to quit ENDS. The current study adds support to claims that many ENDS users plan to quit using ENDS someday and highlights the need for continued research on ENDS cessation.

Stable and momentary psychosocial correlates of everyday smoking: An application of Temporal Self-Regulation Theory

Smoking is one of the leading causes of non-communicable disease mortality and morbidity. Smoking behaviour is determined by both stable, person-level (e.g., motivation, nicotine dependence) and variable, situation-level factors (e.g., urges, cues). However, most theoretical approaches to understanding health behaviours so far have not integrated these two spheres of influence. Temporal Self-Regulation Theory (TST) integrates these person-level and situation-level factors, but has not yet been comprehensively applied to predicting smoking behaviour. We use Ecological Momentary Assessment to examine the utility of TST in predicting daily smoking. 46 smokers reported individual and environmental cues right after smoking and at random time points during the day. Cognitions, self-control, past behaviour, and nicotine dependence were assessed at baseline. Multi-level logistic regressions show that smoking is largely guided by momentary cues, but individual motivation can buffer their influence. This suggests that TST is a useful integrative approach to understand modifiable determinants of smoking and thus intervention targets.

User experiences with a text messaging program for smoking cessation: A qualitative study (Preprint)

Background

Mobile health strategies for smoking cessation (eg, SMS text messaging–based interventions) have been shown to be effective in helping smokers quit. However, further research is needed to better understand user experiences with these platforms.

Objective

This qualitative study aims to explore the experiences of real-world users of a publicly available smoking cessation program (SmokefreeTXT).

Methods

Semistructured phone interviews were conducted with 36 SmokefreeTXT users between March and July 2014. Of these 36 participants, 50% (18/36) of participants completed the SmokefreeTXT program (ie, did not opt out of the program before the 6- to 8-week completion period), and 50% (18/36) did not complete the program (ie, requested to opt out of the program before the completion period). Interview questions focused on smoking behaviors, quitting history, opinions on the program’s content and structure, answering assessment questions, using keywords, reasons for opting out, and perceived usefulness of the program for quitting smoking. A thematic content analysis was conducted, with a focus on themes to increase program engagement and optimization.

Results

The findings highlighted features of the program that participants found beneficial, as well as some elements that showed opportunities for improvement to boost program retention and successful cessation. Specifically, most participants found the SmokefreeTXT program to be convenient and supportive of cessation; however, some found the messages to be repetitive and reported a desire for more flexibility based on their readiness to quit and cessation progress. We also found that program completion did not necessarily indicate successful smoking cessation and that program opt out, which might be interpreted as a less positive outcome, may occur because of successful cessation. Finally, several participants reported using SmokefreeTXT together with other evidence-based cessation methods or non–evidence-based strategies.

Conclusions

Qualitative interviews with real-world SmokefreeTXT users showed high program acceptability, engagement with program features, and perceived utility for smoking cessation. Our findings directly informed several program updates, such as adding an adaptive quit date feature and offering supplemental information on live support services for users who prefer human interaction during the cessation process. The study has implications for other digital tobacco cessation interventions and highlights important topics that warrant future research, such as the relationship between program engagement (eg, opt out and retention) and successful cessation.

Health Disparities Across Lung Cancer Continuum Among Asian Americans: A Systematic Review

The purpose of this systematic review is to synthesize lung cancer associated health disparities across the cancer continuum among Asian Americans. A systematic review design with the narrative method was used for conducting this study. Electronic literature databases, including PubMed, Google Scholar, and CINAHL, were searched. After applying filter information, inclusion and exclusion criteria, a total of 20 articles were included in the review. Findings related to lung cancer prevention, screening, incidence rates, diagnosis, treatment, survival rates, and mortality rates among Asian Americans were synthesized. Results showed the prevalence of smoking quit attempts in the past year was high among Asian Americans, although the prevalence of receiving advice to quit and using counseling and/or medication services was low among this population. Also, the smoking cessation rate among Asian Americans was the second lowest among all racial groups, although the abstinence rate was highest among this population. Compared with other races, Asian Americans are more likely to be diagnosed with lung cancer at a distant stage of disease, and they tend to be less likely to undergo surgery than other races in the United States. The incidence and mortality rates of lung cancer were low among Asian Americans compared with other races in the United States, while the survival rate of lung cancer was high among this population. Further research focusing on lung cancer associated health disparities in specific Asian American ethnic groups should be conducted. Culturally relevant programs that tackle cultural and genetic factors related to lung cancer risk as well as early screening, diagnosis and treatment in this vulnerable population are also necessary.

Real-World Effectiveness of Pharmaceutical Smoking Cessation Aids: Time-Varying Effects

BACKGROUND

There are a limited number of studies that have examined the real-world effectiveness of smoking cessation aids and relapse longitudinally in population-representative samples. This study examines the association between use of nicotine gum, patch, bupropion, and varenicline and time to relapse as well as any changes in the association with increased length of abstinence.

METHODS

Data of 1821 current adult smokers (18+) making their first serious quit attempt were compiled from 4504 individuals enrolled in the Ontario Tobacco Survey, a representative telephone survey of Ontario adults, which followed smokers every 6 months for up to 3 years. Use of cessation aids at the time of initial report of a quit attempt was analyzed. A flexible parametric survival model was developed to model length of abstinence, controlling for potential confounders.

RESULTS

The best fit model found knots at 3, 13, 43, and 212 days abstinent, suggesting different rates of relapse in the periods marked by those days. Use of the patch and varenicline was associated with lower rates of relapse, but no positive effect was found for bupropion or nicotine gum. The effectiveness of the patch reversed in effect after the first month of abstinence.

CONCLUSIONS

This study is one of few reports of long-term quitting in a population-representative sample and demonstrates that the effectiveness of some pharmacological cessation aids (the patch and varenicline can be seen in a population sample). Previous failures in real-world studies of the effectiveness of smoking cessation aids may reflect differences in the products individuals use and differences in the timing of self-reported cessation.

IMPLICATIONS

While a large number of randomized controlled trials have shown the efficacy of many pharmaceutical smoking cessation aids, evidence of their effectiveness in observational studies in the real world is ambiguous. This study uses a longitudinal cohort of a representative sample of smokers to show that the effectiveness of pharmaceutical cessation aids can be demonstrated in real-world use situations, but effectiveness varies by product type and has time-varying effects.

Quitting behaviours and cessation methods used in eight European Countries in 2018: findings from the EUREST-PLUS ITC Europe Surveys

BACKGROUND

We examined quit attempts, use of cessation assistance, quitting beliefs and intentions among smokers who participated in the 2018 International Tobacco Control (ITC) Europe Surveys in eight European Union Member States (England, Germany, Greece, Hungary, the Netherlands, Poland, Romania and Spain).

METHODS

Cross-sectional data from 11 543 smokers were collected from Wave 2 of the ITC Six European Country (6E) Survey (Germany, Greece, Hungary, Poland, Romania and Spain-2018), the ITC Netherlands Survey (the Netherlands-late 2017) and the Four Countries Smoking and Vaping (4CV1) Survey (England-2018). Logistic regression was used to examine associations between smokers' characteristics and recent quit attempts.

RESULTS

Quit attempts in the past 12 months were more frequently reported by respondents in the Netherlands (33.0%) and England (29.3%) and least frequently in Hungary (11.5%), Greece (14.7%), Poland (16.7%) and Germany (16.7%). With the exception of England (35.9%), the majority (56-84%) of recent quit attempts was unaided. Making a quit attempt was associated with younger age, higher education and income, having a smoking-related illness and living in England. In all countries, the majority of continuing smokers did not intend to quit in the next 6 months, had moderate to high levels of nicotine dependence and perceived quitting to be difficult.

CONCLUSIONS

Apart from England and the Netherlands, smokers made few quit attempts in the past year and had low intentions to quit in the near future. The use of cessation assistance was sub-optimal. There is a need to examine approaches to supporting quitting among the significant proportion of tobacco users in Europe and increase the use of cessation support as part of quit attempts.

If at first you don't succeed, when should you try again? A prospective study of failed quit attempts and subsequent smoking cessation

OBJECTIVE

To assess the association between likelihood of success of smoking cessation attempts and time since most recent attempt.

METHODS

Prospective study of 823 smokers who reported a failed quit attempt in the last 12 months at baseline and ≥1 quit attempt over 6-month follow-up. The input variable was time in months between the end (and in an exploratory analysis, the start) of the most recent failed quit attempt reported retrospectively at baseline and start of the first attempt made during the 6-month follow-up period. The outcome variable was success in the latter quit attempt.

RESULTS

Success rates for failed quitters who waited <3, 3-6, and 6-12 months between their failed quit attempt ending and making a subsequent quit attempt were 13.8%, 17.5%, and 19.0% respectively. After adjustment for covariates, the odds of cessation relative to those who made a subsequent quit attempt within 3 months were 1.42 (95%CI 0.79-2.55) and 1.52 (95%CI 0.81-2.86) for those who waited 3-6 and 6-12 months respectively before trying again. Bayes factors indicated the data were insensitive. The exploratory analysis showed the odds of cessation were 1.55 (95%CI 0.78-3.08), 1.92 (95%CI 0.94-3.92), and 2.47 (95%CI 1.04-5.83) greater for those with an interval of 3-6, 6-12, and 12-18 months respectively than those who tried again within 3 months.

CONCLUSIONS

While pre-planned analyses were inconclusive, exploratory analysis of retrospective reports of quit attempts and success suggested the likelihood of success of quit attempts may be positively associated with number of months since beginning a prior quit attempt. However, only the longest inter-quit interval examined (12-18 months) was associated with significantly greater odds of quit success relative to a <3 month interval in fully adjusted models; all other comparisons were inconclusive.

National trends and state-level variation in the duration of incoming quitline calls to 1-800-QUIT-NOW during 2012–2015

Introduction

The duration of incoming quitline calls may serve as a crude proxy for the potential amount of reactive counseling provided.

Aims

To explore whether call duration may be useful for monitoring quitline capacity and service delivery.

Methods

Using data on the duration of incoming quitline calls to 1-800-QUIT-NOW from 2012 through 2015, we examined national trends and state-level variation in average call duration. We estimated a regression model of average call duration as a function of total incoming calls, nationally and by state, controlling for confounders.

Results

From 2012 through 2015, average call duration was 11.4 min, nationally, and was 10 min or longer in 33 states. Average call duration was significantly correlated with quitline service provider. Higher incoming call volume was significantly associated with lower average call duration in 32 states and higher average call duration in five states (P-value <0.05). The relationship between call volume and call duration was not correlated with quitline service provider.

Conclusions

Variation in average call duration across states likely reflects different service delivery models. Average call duration was associated with call volume in many states. Significant changes in call duration may highlight potential quitline capacity issues that warrant further investigation.

Novel microsimulation model of tobacco use behaviours and outcomes: calibration and validation in a US population

BACKGROUND AND OBJECTIVE

Simulation models can project effects of tobacco use and cessation and inform tobacco control policies. Most existing tobacco models do not explicitly include relapse, a key component of the natural history of tobacco use. Our objective was to develop, calibrate and validate a novel individual-level microsimulation model that would explicitly include smoking relapse and project cigarette smoking behaviours and associated mortality risks.

METHODS

We developed the Simulation of Tobacco and Nicotine Outcomes and Policy (STOP) model, in which individuals transition monthly between tobacco use states (current/former/never) depending on rates of initiation, cessation and relapse. Simulated individuals face tobacco use-stratified mortality risks. For US women and men, we conducted cross-validation with a Cancer Intervention and Surveillance Modeling Network (CISNET) model. We then incorporated smoking relapse and calibrated cessation rates to reflect the difference between a transient quit attempt and sustained abstinence. We performed external validation with the National Health Interview Survey (NHIS) and the linked National Death Index. Comparisons were based on root-mean-square error (RMSE).

RESULTS

In cross-validation, STOP-generated projections of current/former/never smoking prevalence fit CISNET-projected data well (coefficient of variation (CV)-RMSE≤15%). After incorporating smoking relapse, multiplying the CISNET-reported cessation rates for women/men by 7.75/7.25, to reflect the ratio of quit attempts to sustained abstinence, resulted in the best approximation to CISNET-reported smoking prevalence (CV-RMSE 2%/3%). In external validation using these new multipliers, STOP-generated cumulative mortality curves for 20-year-old current smokers and never smokers each had CV-RMSE ≤1% compared with NHIS. In simulating those surveyed by NHIS in 1997, the STOP-projected prevalence of current/former/never smokers annually (1998-2009) was similar to that reported by NHIS (CV-RMSE 12%).

CONCLUSIONS

The STOP model, with relapse included, performed well when validated to US smoking prevalence and mortality. STOP provides a flexible framework for policy-relevant analysis of tobacco and nicotine product use.

Increasing Quit Attempts by Transitioning to Very Low Nicotine Content Cigarettes Versus Reducing Number of Cigarettes Per Day: A Secondary Analysis of an Exploratory Randomized Trial

Introduction

The Food and Drug Administration (FDA) has proposed reducing nicotine with very low nicotine content (VLNC) cigarettes. In contrast, reducing nicotine by reducing number of cigarettes per day (CPD) is common. Our prior findings demonstrate that VLNC cigarettes decreased dependence more and were more acceptable than reducing CPD. This secondary analysis explored which reduction strategy increased quit attempts (QA), self-efficacy, or intention to quit more.

Methods

This is a secondary analysis of 68 adult daily smokers not ready to quit randomized to smoke VLNC cigarettes versus reduce CPD over 5 weeks. All participants smoked study cigarettes with nicotine yield similar to most commercial cigarettes ad lib for 1 week (baseline). Participants were then randomized to gradually reduce to 70%, 35%, 15%, and 3% of baseline nicotine over 4 weeks by either (1) transitioning to lower nicotine VLNC cigarettes or (2) reducing the number of full nicotine CPD. All participants received nicotine patches to aid reduction. We assessed (1) QAs using nightly and weekly self-reports, (2) Velicer’s Self-Efficacy to Quit measure weekly, and (3) the Intention-to-Quit Ladder nightly.

Results

More CPD (41%) than VLNC (17%) participants made any QA (odds ratio = 3.4, 95% confidence interval = 1.1, 10.5). There was no difference in QAs ≥24 h. Self-efficacy increased for VLNC but not CPD participants (interaction: F = 3.7, p < .01). The condition by time interaction for intention-to-quit was not significant.

Conclusions

Reducing number of CPD increased QAs more than reducing nicotine via switching to VLNC cigarettes. The lack of difference in longer QAs suggests replication tests are needed.

Implications

Reducing the frequency of smoking behavior (ie, CPD) could be a more effective strategy to increase QAs than reducing the magnitude of nicotine in each cigarette (ie, VLNC) per se.

Reduction in Cigarettes per Day Prospectively Predicts Making a Quit Attempt: A Fine-Grained Secondary Analysis of a Natural History Study

INTRODUCTION

Reducing cigarettes per day (CPD) aided by medication increases quit attempts (QA) among smokers not trying to quit. If this is due to reducing CPD per se, then a greater reduction should predict making a QA.

AIMS AND METHODS

In this secondary analysis, 132 smokers completed nightly calls to report CPD, intention to quit tomorrow, and QAs over 12 weeks. We provided no treatment. We identified episodes of reduction and tested whether (1) percent reduction in CPD, (2) absolute reduction in CPD, (3) duration of reduction, or (4) CPD on the final day predicted a QA immediately after a reduction episode. We tested this separately among reduction episodes that began with and without an intention to quit.

RESULTS

Among the 1179 episodes that began without intention to quit, all four measures of reduction predicted making a QA. Greater percent reduction, longer duration, and fewer CPD on the final day were retained in a multivariate model (all p < .05). Among the 85 episodes that began with intention to quit, greater percent reduction and greater absolute reduction predicted making a QA. Only mean percent reduction was retained in a multivariate model (p < .001).

CONCLUSIONS

Our results replicate and extend earlier studies by using fine-grained analyses and examining immediately proximal QAs in a sample of self-quitters. Findings suggest that reducing CPD per se increases the probability of a QA among smokers without intention to quit in a dose-related manner. Whether this is the case among smokers who intend to quit remains unclear.

IMPLICATIONS

Reducing CPD appears to be an effective strategy to increase the probability of making a QA for the majority of smokers who do not intend to quit in the near future. However, our findings are mixed regarding the effectiveness of reducing among smokers who intend to quit. Clinical interventions and policies that promote reducing CPD are likely to be an effective way to increase QAs. Reduction may be especially helpful for smokers who have not responded to traditional advice to stop abruptly.

Barriers and enablers to implementation of antenatal smoking cessation guidelines in general practice

Smoking is a major preventable cause of adverse outcomes in pregnancy. Despite the existence of smoking cessation support guidelines, many pregnant smokers do not receive support in quitting. The aim of this study was to identify and understand the facilitators and barriers experienced by GPs in implementing the 5As of smoking cessation support with pregnant women. The results of this study may help in shaping interventions to support GPs in implementing the guidelines. This was a qualitative study using semi-structured interviews built around the Theoretical Domains Framework. Participants were 15 GPs, and thematic analysis was used to identify relevant themes. Perceived barriers to implementing guidelines included unfamiliarity with the 5As, uncertainty using nicotine replacement therapy, lack of time, and fears of damaging rapport. Perceived facilitators included high levels of knowledge and skills, patients' expectations and a recognition that smoking cessation was a fundamental and essential part of the GPs' role in antenatal care. Educating and training GPs regarding the 5As and NRT (nicotine replacement therapy) use in pregnancy may have a role in improving delivery of smoking cessation support. The strong overall commitment to provision of smoking cessation support among GPs may also have a role in developing interventions in the future.

Distal Measurements Can Produce False Negative Results: A Prospective Secondary Analysis of a Natural History Study

INTRODUCTION

Most prospective studies of quit attempts (QAs) or abstinence measure the ability of variables to predict quitting many weeks or months later. This design ignores more proximal fluctuations in the predictor that may be more relevant. The present secondary analysis compares 6-week (distal) and daily (proximal) changes in cigarettes per day (CPD) as predictors of making a QA.

METHODS

Daily smokers reported CPD and QAs nightly throughout a 12-week natural history study. We provided no treatment. In the distal analysis, we tested whether reduction in CPD between baseline and 6 weeks predicted making a QA during the following 6 weeks. In the proximal analysis, we identified episodes of one or more days of ≥10% reduction in CPD and tested whether reduction predicted making a QA on the day immediately after the reduction episode. We tested the following predictors: (1) reduction in CPD of ≥10% (yes/no), (2) percent reduction, (3) absolute magnitude of reduction, and (4) CPD at the end of reduction.

RESULTS

In the distal analysis, reduction did not predict making a QA. In the proximal analysis, any reduction (OR = 3.0), greater percent reduction (OR = 1.6), greater absolute reduction (OR = 1.3), and fewer CPD on the final day of an episode (OR = 11.8) predicted making a QA the next day (all p < .001).

DISCUSSION

Relying on distal measurements to identify causes of a behavior may produce false-negative results. Increased use of technological advances will make assessments of the more valid proximal measurements more feasible.

IMPLICATIONS

This secondary analysis tested distal and proximal predictors of making a quit attempt among the same participants and found that distal tests did not, but proximal tests did predict quit attempts. Relying on distal measurements may result in false negatives.

Effectiveness of individual and group multicomponent interventions for smoking cessation in primary care: a quasi-experimental study

BACKGROUND

The efficacy of smoking cessation interventions can be quite diverse in day-to-day clinical practice.

OBJECTIVE

To analyse the effectiveness in smoking cessation of multicomponent interventions carried out in groups or individually in primary care practices.

METHODS

A quasi-experimental, multicentre study of 12-month follow-up of patients treated in multicomponent smoking cessation interventions was carried out in Urban health care centres in Sevilla, Spain. Two hundred and twenty smoking patients, ≥18 years of age, participated either in a multicomponent intervention group (n = 145; mean age 51.7 years; 53.1% women) or in individual interventions (n = 77; mean age 50.5 years; 61.0% women). The abstinence or relapse status was computed from patient self-reports, confirmed by relatives or companions when possible and supplemented by CO-oxymetry tests in 89 patients.

RESULTS

The overall percentage of smoking cessation was 36.9% (37.9% with group and 35.1% with individual intervention, P = 0.398). Patients who quit smoking were younger (48.7 versus 52.9 years old, P < 0.01), with fewer years of smoking (32.9 versus 36.8 years, P < 0.05), with higher education (39.0% versus 25.0%, P < 0.05) and had received pharmacological treatment (91.5% versus 67.9%, P < 0.001). In the multivariate analysis, level of education [odds ratio (OR): 1.995; 95% confidence interval (CI): 1.065-3.735, P < 0.01], group intervention (OR: 1.743; 95% CI: 1.006-3.287, P < 0.05) and drug prescription (OR: 2.368; 95% CI: 1.126-4.980, P < 0.05) were significantly associated with smoking cessation.

CONCLUSIONS

Our study found that multicomponent group and individual interventions in primary care were associated with an overall quit rate of smoking of 36.9% at 12-month follow-up, with higher probability of success among patients with higher education and those who received the group intervention and drug treatment.

Understanding quit patterns from a randomized clinical trial: Latent classes, predictors, and long-term abstinence

OBJECTIVE

Tobacco dependence treatment is recognized as a dynamic, chronic process comprised of several specific phases. Of these phases, the Cessation phase is the most critical as it has demonstrated the strongest relation to quit success. Yet, little is understood about smoking trajectories during this period. The current study aimed to address gaps in the smoking research literature and advance understanding of the dynamic quit process unique to completing an integrated smoking treatment by evaluating quit behavior during the Cessation phase.

METHOD

Two hundred and sixty-seven treatment seeking smokers enrolled in a clinical trial to evaluate the efficacy of a novel, integrated smoking cessation treatment (46.1% male; Mage = 39.25, SD = 13.70) were included in the present study. Repeated-measure latent class analysis was employed to evaluate quit patterns from quit day through day 14 post-quit.

RESULTS

Results supported a four-class solution: Consistent Quitters, Non-Quitters, Relapsers, and Delayed Quitters. Predictors of class membership included age, number of prior quit attempts, motivation to quit smoking, and quit day smoking urges. Moreover, class membership was significantly associated with 6-month abstinence.

CONCLUSION

Results suggest that there are four relevant classes of quit behavior, each with specific predictor variables including age, motivation to quit, smoking urges, and number of quit attempts, and that these classes relate to long-term abstinence. These results have the potential to inform manualized smoking cessation treatment interventions based on relevant subgroups of quit behavior.

Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source

BACKGROUND

Approximately 20% of deaths in the US each year are attributable to smoking, yet current practices in the recording of this health risk in electronic health records (EHRs) have not led to discernable changes in health outcomes. Several groups have developed algorithms for extracting smoking behaviors from clinical notes, but none of these approaches were assessed with external data to report on anticipated clinical performance.

METHODS

Previously, we developed an informatics pipeline that extracts smoking status, pack year history, and cessation date from clinical notes. Here we report on the clinical implementation performance of our pipeline using 1,504 clinical notes matched to an external questionnaire.

RESULTS

We found that 73% of available notes contained no smoking behavior information. The weighted Cohen's kappa between the external questionnaire and EHR smoking status was 0.62 (95% CI 0.56-0.69) for the clinical notes we were able to extract information from. The correlation between pack years reported by our pipeline and the external questionnaire was 0.39 on the 81 notes for which this information was present in both. We also assessed for lung cancer screening eligibility using notes from individuals identified as never smokers or smokers with pack year history extracted by our pipeline (n = 196). We found a positive predictive value of 85.4%, a negative predictive value of 83.8%, sensitivity of 63.1%, and specificity of 94.7%.

CONCLUSIONS

We have demonstrated that our pipeline can extract smoking behaviors from unannotated EHR notes when the information is present. This information is reliable enough to identify patients most likely to be eligible for smoking related services. Ensuring capture of smoking information during clinical encounters should continue to be a high priority.

Barriers to smoking cessation: a qualitative study from the perspective of primary care in Malaysia

OBJECTIVES

This qualitative study aims to construct a model of the barriers to smoking cessation in the primary care setting.

DESIGN

Individual in-depth, semistructured interviews were audio-taped, then verbatim transcribed and translated when necessary. The data were first independently coded and then collectively discussed for emergent themes using the Straussian grounded theory method.

PARTICIPANTS AND SETTING

Fifty-seven current smokers were recruited from a previous smoking related study carried out in a primary care setting in Malaysia. Current smokers with at least one failed quit attempts were included.

RESULTS

A five-theme model emerged from this grounded theory method. (1) Personal and lifestyle factors: participants were unable to resist the temptation to smoke; (2) Nicotine addiction: withdrawal symptoms could not be overcome; (3) Social cultural norms: participants identified accepting cigarettes from friends as a token of friendship to be problematic; (4) Misconception: perception among smokers that ability to quit was solely based on one's ability to achieve mind control, and perception that stopping smoking will harm the body and (5) Failed assisted smoking cessation: smoking cessation services were not felt to be user-friendly and were poorly understood. The themes were organised into five concentric circles based on time frame: those actionable in the short term (themes 1 and 2) and the long term (themes 3, 4, 5).

CONCLUSIONS

Five themes of specific beliefs and practices prevented smokers from quitting. Clinicians need to work on these barriers, which can be guided by the recommended time frames to help patients to succeed in smoking cessation.

Use of the Phase-Based Model of Smoking Treatment to Guide Intervention Development for Persons Living with HIV Who Self-Identify as African American Tobacco Smokers

Cigarette smoking is highly prevalent among persons living with the human immunodeficiency virus (HIV) (PLWH), with rates as high 50% as compared to 14% in the general U.S. population. Tobacco use causes morbidity and mortality in PLWH, and tobacco-related harm is substantially higher in PLWH than smokers in the general population, providing the scientific premise for developing effective tobacco cessation interventions in this population. To better address this issue, we conducted six focus group sessions with 45 African American smokers who are living with HIV to understand the barriers to smoking cessation and the strategies that would be helpful to overcome these barriers. We organized our findings by the Phase-Based Model of Smoking Treatment to understand the intervention components that are needed at each phase to help PLWH successfully quit smoking. Participants in our focus group sessions articulated key components for incorporation into tobacco cessation intervention for PLWH: a personalized plan for quitting, reminders about that plan, and a support system. Participants thought that their HIV and tobacco use were disassociated. Participants described barriers to the use of pharmacotherapy, including adverse side effects of the gum and patch and concerns about the negative health effects of some oral medications. Substance use was identified as a commonly co-occurring condition as well as a barrier to successfully ceasing to smoke tobacco products. In summary, these findings offer information on the components of a tobacco cessation intervention for PLWH, namely reminders, a support system, substance use treatment, and monitoring to prevent relapse.

Overcoming Challenges to Treating Tobacco use During Pregnancy - A Qualitative study of Australian General Practitioners Barriers

Background

General practitioners can play an important role in addressing smoking among pregnant women but studies suggest they rarely do so. The aim of this study was to explore general practitioners perceptions about the management of smoking in pregnancy, and what would enable them to provide better care.

Methods

Qualitative semi-structured interviews were conducted (Feb-July 2017), with 19 Australian general practitioners recruited from a sample that participated in a national survey on managing smoking during pregnancy; and through a national conference. The interview guide was structured using the theoretical domains framework, exploring previously reported barriers and two specific components of smoking cessation care - nicotine replacement therapy prescription and Quitline referral.

Results

Participants reported high confidence and knowledge to provide pregnant patients adequate support for quitting. Nonetheless, participants reported lacking communication skills, focusing on providing information on smoking harm, accepting cutting down cigarettes as adequate, while following the ‘Stages of Change’ model and only providing treatment options to motivated patients. Lack of time, nicotine replacement therapy cost and safety concerns, and being unfamiliar with the Quitline (particularly for Aboriginal and Torres Strait Islander pregnant smokers) were perceived as challenges. Participants reported needing better communication skills, clear detailed nicotine replacement therapy guidelines for special populations, and visual resources they could use to discuss treatment options with patients.

Conclusions

Difficulty communicating with pregnant patients about smoking, using the ‘Stages of Change’ model to guide support provision and concerns regarding nicotine replacement therapy safety are barriers to providing cessation support to pregnant patients for general practitioners. Training on specific effective behaviour change techniques, clear guidance for nicotine replacement therapy use, and practical visual patient education tools may facilitate smoking cessation care provision to pregnant women.

Electronic supplementary material

The online version of this article (10.1186/s12884-019-2208-8) contains supplementary material, which is available to authorized users.

Longer duration of smoking abstinence is associated with waning cessation fatigue

BACKGROUND

Cessation fatigue, a construct theorized to reflect exhaustion of coping resources due to quitting smoking, has been found to predict relapse. This study examines the association between cessation fatigue and duration of abstinence among 1397 adult former smokers who participated in the 2016 International Tobacco Control (ITC) Four Country Smoking and Vaping Wave 1 Survey (4CV). We hypothesized lower levels of cessation fatigue will be correlated with longer duration of abstinence.

METHOD

Data for this cross-sectional study were collected in a web-based survey which recruited national samples from Australia, Canada, England, and United States. Former smokers were abstinent up to five years.

RESULTS

Lower cessation fatigue was associated with longer duration of smoking abstinence. Cessation fatigue was highest in former smokers that had been quit for up to six months, with lower cessation fatigue found in those quit for at least seven months and another drop-off in fatigue observed for those quit for at least two years.

CONCLUSIONS

Cessation fatigue is highest soon after quitting smoking but declines over time for those who remain abstinent. Understanding the mechanisms by which cessation fatigue is related to abstinence could potentially offer insights into ways to help individuals sustain quitting.

A randomised controlled trial examining the efficacy of smoking-related response inhibition training in smokers: a study protocol

BACKGROUND

Smoking is one of the leading preventable causes of illness and premature death worldwide. Despite a variety of effective treatments, relapse rates remain high, and novel, innovative interventions are needed in order to reduce the global prevalence of smoking. Research has indicated that deficits in the ability to inhibit a response (referred to as response inhibition) is a predictor of relapse and subsequently, targeting this potentially modifiable risk factor may lead to improvements in smoking outcomes. Indeed, in recent years, stimulus-specific response inhibition training has emerged as a potentially efficacious intervention to reduce unwanted/unhealthy behaviours such as alcohol and unhealthy food consumption. As such, the present trial is the first to evaluate the real-world efficacy of response inhibition smoking training (INST) in a sample of adult heavy smokers.

METHODS/DESIGN

This randomised controlled trial will recruit nicotine dependent smokers aged between 18 and 60 using social media and advertisements in Victoria, Australia. The sample target was 150 to account for drop out and non-adherence. Once informed consent has been obtained, participants complete a range of baseline measures during a face to face interview. Participants are randomly allocated to one of two online training conditions: an intervention training group (INST), which requires participants to exercise response inhibition towards smoking-related stimuli; or an active control group, which requires participants to exercise response inhibition towards household items and does not include any smoking-related stimuli. They complete the first training session during the interview to ensure the training protocol is clear. Both groups are instructed to complete a further 13 training sessions (1 per day) at home on their computer and follow-up phone calls will be conducted at three time points: post-intervention, one-month and three months. The primary outcomes are: a) rates of smoking cessation and; b) reduction in the quantity of average daily smoking at post-intervention, one and three months follow-up.

DISCUSSION

There is a pressing need to develop novel and innovative smoking interventions. If proven to be effective, INST could make a highly cost-effective contribution to improvements in smoking intervention outcomes.

TRIAL REGISTRATION

The trial was prospectively registered with the Australian New Zealand Clinical Trials Registry 17th February 2017. Trial ID: ACTRN12617000252314 .

Does cessation fatigue predict smoking-cessation milestones? A longitudinal study of current and former smokers

OBJECTIVE

Long-term abstinence can be undermined by cessation fatigue-an exhaustion of coping resources attributable to quitting smoking/staying quit. The current study examines the predictive validity of a Cessation Fatigue Scale (CFS; three subscales). Among current smokers, we hypothesized higher fatigue would predict longer latency to both quit initiation and achieving 7-day point prevalence abstinence (7-day PPA). Among recent quitters, we expected higher cessation fatigue would confer greater lapse/relapse risk. Lower rates of abstinence at 2-month follow-up were expected for those with higher fatigue.

METHOD

Current smokers motivated to quit in the next month (n = 301) and recent quitters (n = 242) were assessed biweekly over the course of 2 months. Retention rates were high (>85%). Cox and logistic regression analyses tested hypotheses.

RESULTS

Among smokers, greater emotional exhaustion predicted longer delay to achieving 7-day PPA (HR = .53, 95% CI [.40, -.68], p < .001) and lower likelihood of 7-day PPA at 2-month follow-up (OR = .27, 95% CI [.16, -.46], p < .001), even after controlling for nicotine dependence and motivation to quit. Among recent quitters, emotional exhaustion progressively increased over the first 6 weeks since quit initiation. Elevated exhaustion was associated with greater lapse (HR = 1.65, 95% CI [1.06, 2.56], p < .05) and relapse (HR = 2.33, 95% CI [1.37, 3.97], p < .01) risk, and lower likelihood of 7-day PPA at 2-month follow-up (OR = .39, 95% CI [.16, .94], p < .05), even after controlling for nicotine withdrawal and motivation to quit.

CONCLUSIONS

Cessation fatigue, as measured by the CFS's emotional exhaustion subscale, prospectively predicted important cessation milestones. Findings suggest that cessation fatigue is a novel process that undermines smoking cessation and a viable target for intervention. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Prevention and Treatment of Tobacco Use: JACC Health Promotion Series

Tobacco use is the leading preventable cause of death worldwide and is a major risk factor for cardiovascular disease (CVD). Both prevention of smoking initiation among youth and smoking cessation among established smokers are key for reducing smoking prevalence and the associated negative health consequences. Proven tobacco cessation treatment includes pharmacotherapy and behavioral support, which are most effective when provided together. First-line medications (varenicline, bupropion, and nicotine replacement) are effective and safe for patients with CVD. Clinicians who care for patients with CVD should give as high a priority to treating tobacco use as to managing other CVD risk factors. Broader tobacco control efforts to raise tobacco taxes, adopt smoke-free laws, conduct mass media campaigns, and restrict tobacco marketing enhance clinicians' actions working with individual smokers.

The Crush the Crave Quit Smoking App and Young Adult Smokers: Qualitative Case Study of Affordances

Background

Mobile phone apps have emerged as a promising way to reach young adult smokers, given their high mobile phone ownership rates and openness to receiving cessation support via digital technologies. Although emerging evidence indicates that quit smoking apps are an effective way to reduce smoking among young adults, lacking is formative evaluative research that captures the perspectives of end-users.

Objective

The objective of this study was to contribute insights toward understanding how young adults interact with the Crush the Crave (CTC) app, and how this interaction shapes young adults’ smoking cessation experiences and practices, with consideration of the influence of gender.

Methods

Semistructured interviews were conducted with 31 young adult CTC end-users. Guided by sociomateriality theory and an affordances approach, data were inductively analyzed to derive thematic findings in relation to the impacts of CTC on quit efforts, and to expose the underlying affordances (mechanisms) that lend to these outcomes. Findings were grouped according to the 4 design components of CTC: credibility, social support, task support, and dialogue support.

Results

The credibility component of CTC played an important role in harnessing the trust of young adults because it afforded them promise in relation to its potential effectiveness in assisting them with quitting smoking. The social support component lent to various end-user practices and experiences that rendered this aspect as the weakest component in supporting quit efforts. Although most functions situated in the task and dialogue support components were found to be helpful, there were a few affordances in CTC that resulted in negative experiences, notably weaning from smoking. Gender-related influences were also evident. For example, young men preferred to control and self-manage their quitting and, therefore, did not engage with functions that afforded journaling or reminding to stay on track. Women, in contrast, were more likely to benefit from these affordances.

Conclusions

An affordances approach is productive for gaining an in-depth understanding of how mobile apps interact with end-users to lend to particular outcomes. The study findings have implications for developing and improving apps for helping young adults quit smoking, as well as apps that target other health behaviors. Productive affordances may also serve as a framework for leveraging apps for smoking cessation.

Does consistent motivation to stop smoking improve the explanation of recent quit attempts beyond current motivation? A cross-sectional study

AIMS

In seeking to provide more accurate models of population quit attempt rates, this study assessed whether a single self-report measure of consistent motivation to stop smoking adds useful explanatory power over and above an established measure of current motivation to stop.

METHOD

Data from 16,657 current smokers in England were collected between October 2012 and June 2017 using cross-sectional household surveys. Smokers were asked whether they had made a serious quit attempt in the past year and they answered two questions on motivation to stop (current motivation and consistent motivation to stop smoking). Having made at least one quit attempt in the past year was regressed in logistic models onto current motivation to stop and consistent motivation to stop individually and then together, with both models adjusting for sociodemographic variables and a measure of nicotine dependence.

RESULTS

The addition of consistent motivation to stop smoking added substantially to the fit of the model over and above the established measure of current motivation to quit (χ2(1, N = 16,657) = 901.7, p < 0.001) with an adjusted odds ratio of 4.1 (95% CI = 3.7-4.5, p < 0.001).

CONCLUSION

Consistent motivation to stop smoking substantially improves the modelling of recent smoking cessation attempts over and above current motivation to stop. The consistency of smokers' motivation to quit may be a useful explanatory and target variable in future intervention studies.

Efficiency and adverse events of electronic cigarettes: A systematic review and meta-analysis (PRISMA-compliant article)

BACKGROUND

Electronic cigarettes (e-cigarettes) are a prevalent smoking cessation aid worldwide; however, a consensus regarding their efficacy and safety has yet to be reached.

METHODS

We conducted a systematic review of the literature from related studies written in English or Chinese and published between January 1, 2003, and July 30, 2017. Eligible studies reporting the number of smokers who reduced or quit smoking and suffered from adverse events after e-cigarette use were selected according to predefined criteria; pertinent data were then extracted for a meta-analysis.

RESULTS

Our search produced 198 articles; of these publications, 14 including 35,665 participants were analyzed. The pooled efficacy rate of e-cigarettes ranged from 48.3% to 58.7% for smoking reduction and from 13.2% to 22.9% for smoking cessation. The pooled rate of adverse events associated with e-cigarettes ranged from 49.1% to 51.6% based on 11 studies including 16,406 participants. The most prevalent adverse events were mouth or throat irritation, anxiety, depressed mood, nausea, and insomnia. No significant differences in overall CO2 exhalation (eCO) levels were observed after e-cigarette use according to the data from 5 studies.

CONCLUSION

Our findings suggest that e-cigarettes are moderately effective with regard to smoking reduction and smoking cessation. eCO levels are unreliable for evaluating the efficacy of e-cigarettes. E-cigarette related adverse events frequently occur, especially due to high-dose nicotine-containing cartridges.

Day-to-Day Variability in Self-Reported Cigarettes Per Day

Background and Aims

Nicotine addiction theory predicts small day-to-day variability in cigarettes/day (CPD) whereas social learning theory predicts large variability. A description of the variability in CPD over multiple days is not available.

Methods

We conducted secondary analyses of two natural history studies with daily smokers-one of smokers not intending to quit, and one of smokers intending to quit sometime in the next 3 months. In the former, smokers recorded their smoking during the day by Ecological Momentary Assessment, using a palm-top computer. In the latter, participants reported CPD nightly via a phone Interactive Voice Response system. Analyses were based on smokers who reported averaging ≥10 CPD, and on days in which there was no attempt to stop or reduce smoking.

Results

Across the two studies, on average, smokers had small changes in day-to-day CPD (mean changes were 2.2 and 2.9 CPD). However a minority averaged changing by ≥5 CPD from one day to the next (7% and 11%), and many changed by ≥5 CPD on at least 10 of the 90 days (8% and 31%). Neither smoking restrictions, dependence, stereotypy ratings, nor interest in quitting predicted variability.

Conclusion

Although on average, smokers have little change day-to-day CPD, a substantial minority of smokers often change by 5 CPD from day-to-day. We did not find potential causes of this variability.

Implications

Across day variability in CPD is larger than implied in prior studies. Determining causes of day-to-day variability should increase our understanding of the determinants of smoking.

A cost-effectiveness analysis of varenicline for smoking cessation using data from the EAGLES trial

BACKGROUND

The cost-effectiveness of varenicline has been demonstrated in the US health care setting using the Benefits of Smoking Cessation on Outcomes (BENESCO) model to simulate the lifetime direct costs and consequences of a hypothetical cohort of US adult smokers who make a single attempt to quit. The aim of this study was to undertake an updated cost-effectiveness analysis, using current epidemiology inputs and recently published smoking cessation data from the Evaluating Adverse Events in a Global Smoking Cessation Study (EAGLES), the largest clinical trial of smoking cessation pharmacotherapies conducted to date.

METHODS

BENESCO is a Markov model simulating the effect of a single attempt to quit smoking on four smoking-related diseases: coronary heart disease, stroke, chronic obstructive lung disease, and lung cancer. Inputs were updated to include efficacy from EAGLES and newer data for the epidemiology of smoking in the US, the epidemiology and direct treatment costs of the four morbidities, and the costs of the interventions. Analyses compared varenicline, bupropion, nicotine replacement therapy (NRT) patch, and placebo with regard to the incidence of smoking-related morbidity, the incidence of smoking-related mortality, and cost-effectiveness at a time horizon from 2 years to lifetime.

RESULTS

The study cohort comprised of 18,394,068 US adult smokers who made a single quit attempt during the first year of the model. For varenicline, there were an estimated 319,730 fewer smoking-related morbidities at the lifetime compared with placebo. Similarly, smoking-related mortality decreased by 198,240 subjects when varenicline was compared with placebo. For the same time horizon, varenicline was more effective and less costly, ie, dominant, compared with all comparators in the cost-effectiveness analysis.

CONCLUSION

Based on the BENESCO model, smoking cessation with varenicline results in reduced incidence of smoking-related morbidity and mortality compared with other smoking cessation interventions and remains a cost-effective strategy in the US population.

Improving implementation of the smoking cessation guidelines with pregnant women: How to support clinicians?

OBJECTIVE

this study aimed to explore the enablers and barriers to implementation of the Australian smoking cessation in pregnancy guidelines. These guidelines direct clinicians to follow the 5As of cessation: Ask, Advise, Assess, Assist and Arrange follow-up.

DESIGN

semi-structured interviews based on the Theoretical Domains Framework (TDF) elicited clinicians' views and experiences of implementing the guidelines.

SETTING

antenatal care in the NSW public health system.

PARTICIPANTS

27 maternity service managers, obstetricians and midwives.

FINDINGS

participants confirmed that implementation of the smoking cessation guidelines was sub-optimal. This was particularly the case with Assist and Arrange follow up at the initial visit, and with following any of the 5As at subsequent visits. Key barriers included systems which did not support implementation or monitoring, lack of knowledge, skills and training, perceived time restrictions, 'difficult conversations' and perceiving smoking as a social activity. Enablers included clinicians' knowledge of the harms of smoking in pregnancy, clinicians' skills in communicating with pregnant women, positive emotions, professional role and identity, the potential of training and of champions to influence practice, and systems that regulated behaviour.

KEY CONCLUSIONS

these findings will contribute to the development of a multifaceted intervention to support clinicians in implementing the guidelines.

IMPLICATIONS FOR PRACTICE

Building on existing strengths, antenatal care providers may be supported in implementing the guidelines by working with systems which remind and support implementation, the clear reframing of smoking as an addiction, knowledge and skills development and by realizing the potential of leadership to maximise the impact of reinforcement and social influence.

One-Year Smoking Trajectories Among Established Adult Smokers With Low Baseline Motivation to Quit

INTRODUCTION

The majority of smokers do not intend to quit in the near term, making unmotivated smokers a key group to target in public health efforts. Although it is often assumed that continuing smokers will have stable rates of smoking over time, limited research has addressed this issue, particularly among smokers not seeking treatment. In the current study, the aims were to (1) characterize the trajectory of naturalistic smoking among unmotivated smokers and (2) examine relationships between naturalistic smoking trajectories and other smoking-related variables.

METHODS

The study sample comprised 579 control-group (ie, untreated) smokers within a parent clinical trial, who completed a total of nine assessments over 1 year.

RESULTS

Trajectory modeling identified four smoking trajectory groups: stable (72%), shallow decreasers (20%), steep decreasers (5%), and increasers (3%). Membership in the decreasing groups was associated with higher motivation to quit, greater history of quit attempts, and higher cigarettes per day. Females were more likely to be in the increasing versus stable group.

CONCLUSIONS

Findings provide needed information on stability and change in cigarette consumption over the course of 1 year among an untreated sample of smokers and identified baseline sociodemographic and smoking-related predictors of smoking trajectory group. Refining understanding of these groups is critical in updating population-based tobacco policy modeling efforts and informing cessation induction efforts that capitalize on naturalistic changes in smoking rate over time.

IMPLICATIONS

In the current study, we found that approximately 25% of smokers who endorsed low quit motivation at baseline reduced their cigarette consumption over the course of a year, while 3% increased their cigarette consumption and the majority of smokers (72%) maintained a stable pattern. Refining understanding of smoking trajectories is critical in updating population-based tobacco policy modeling efforts and informing cessation induction efforts that capitalize on naturalistic changes in smoking rate over time.