Quit attempts in response to smoke-free legislation in England

Associations of Prevalence of E-cigarette Use With Quit Attempts, Quit Success, Use of Smoking Cessation Medication, and the Overall Quit Rate Among Smokers in England: A Time-Series Analysis of Population Trends 2007-2022

INTRODUCTION

This study aimed to (1) provide up-to-date estimates of how changes in the prevalence of e-cigarette use have been associated with changes in smoking cessation activities and use of licensed treatments among smokers in England and (2) explore any changes in these associations over time.

METHODS

Data were aggregated quarterly on 67 548 past-year smokers between Q1-2007 and Q4-2022. Explanatory variables were the prevalence of (1) current e-cigarette use among smokers and (2) e-cigarette use during a quit attempt. Outcomes were rates of quit attempts and overall quits among past-year smokers, and the quit success rate and use of licensed treatments among those who made a quit attempt.

RESULTS

The success rate of quit attempts increased by 0.040% (95% CI 0.019; 0.062) for every 1% increase in the prevalence of e-cigarette use during a quit attempt. No clear evidence was found for an association between current e-cigarette use and the quit attempt rate (Badj = 0.008 [95% CI -0.045; 0.061]) or overall quit rate (Badj = 0.063 [-0.031; 0.158]); or between use of e-cigarettes during a quit attempt and the overall quit rate (Badj = 0.030 [-0.054; 0.114]), use of prescription medication (varenicline/bupropion/nicotine replacement therapy [NRT]: Badj = -0.036 [-0.175; 0.102]), or use of over-the-counter NRT (Badj = -0.052 [-0.120; 0.015]). There was no clear evidence this pattern of associations has changed substantially over time.

CONCLUSIONS

Changes in the prevalence of e-cigarette use in England through 2022 have been positively associated with the success rate of quit attempts but not clearly associated with the quit attempt rate, overall quit rate, or use of licensed smoking cessation treatments.

IMPLICATIONS

If the association between the increase in e-cigarette use and the quit success rate is causal, then the use of e-cigarettes in quit attempts has helped in the region of 30 000 to 50 000 additional smokers in England to successfully quit each year since they became popular in 2013, over and above the number who were quitting before the advent of e-cigarettes.

The influence of health literacy and knowledge about smoking hazards on the intention to quit smoking and its intensity: an empirical study based on the data of China's health literacy investigation

OBJECTIVE

This study explored the relationship between smokers' health literacy, knowledge of smoking hazards, and their intention to quit.

METHODS

Based on data from the 2019 Health Literacy and Tobacco Use Surveillance among residents of a city in Zhejiang Province, 1120 male smokers were screened. Differential tests were used to analyze whether smokers with varying levels of health literacy and knowledge about smoking hazards differed in their intention to quit smoking and the intensity of their intention. A multi-factor logistic regression model was constructed to explore the extent of these differences.

RESULTS

Only 24.8% of smokers had higher health literacy. Among smokers, those with an intention to quit had a higher health literacy level compared to those without such intention (32.7% vs. 17.0%, p < 0.001). Health literacy levels did not differ significantly between groups with different intensity of intention to quit (34.2% vs. 31.9% vs. 30.1%, p = 0.435). About 48.7% of the smokers a higher level of knowledge about smoking hazards. It was more prevalent in the intent to quit group compared to the no intent to quit group (54.0% vs. 43.4%, p < 0.001), and the low intent to quit group had lower knowledge compared to the moderate and high intent to quit groups (49.1% vs. 56.6% vs. 63.4%, p = 0.011). After adjusting for other influences, smokers with lower health literacy were less likely to have intention to quit (OR = 0.659, p = 0.016). And the association between knowledge about smoking hazards and whether smokers have the intention to quit is no longer significant, but it significantly affects the intensity of the intention to quit among smokers who already have the intention (OR = 0.623, p = 0.005).

CONCLUSION

General health literacy may play a role in facilitating smokers' progression from the stage of no intent to quit to one of intent to quit, but a more specific understanding of the harms of smoking may be needed to increase the strength of intent to quit.

Association of quarterly prevalence of e-cigarette use with ever regular smoking among young adults in England: a time-series analysis between 2007 and 2018

AIMS

To assess how changes in the prevalence of e-cigarette use among young adults have been associated with changes in the uptake of smoking in England between 2007 and 2018.

DESIGN

Time-series analysis of population trends with autoregressive integrated moving average with exogeneous input (ARIMAX models).

SETTING

England.

PARTICIPANTS

Data were aggregated quarterly on young adults aged 16-24 years (n = 37 105) taking part in the Smoking Toolkit Study.

MEASURES

In the primary analysis, prevalence of e-cigarette use was used to predict prevalence of ever regular smoking among those aged 16-24. Sensitivity analyses stratified the sample into those aged 16-17 and 18-24. Bayes' factors and robustness regions were calculated for non-significant findings [effect size beta coefficient (B) = 3.1].

FINDINGS

There was evidence for no association between the prevalence of e-cigarette use and ever regular smoking among those aged 16-24 [B = -0.015, 95% confidence interval (CI) = -0.046 to 0.016; P = 0.341; Bayes factor (BF) = 0.002]. Evidence for no association was also found in the stratified analysis among those aged 16-17 (B = 0.070, 95% CI -0.014 to 0.155, P = 0.102; BF = 0.015) and 18-24 (B = -0.021, 95% CI -0.053 to 0.011; P = 0.205; BF = 0.003). These findings were able to rule out percentage point increases or decreases in ever regular smoking prevalence greater than 0.31% or less than -0.03% for 16-17-year-olds and 0.01 or -0.08% for 18-24-year-olds for every 1%-point increase in e-cigarette prevalence.

CONCLUSION

Prevalence of e-cigarette use among the youth population in England does not appear to be associated with substantial increases or decreases in the prevalence of smoking uptake. Small associations cannot be ruled out.

Association between smoke-free legislation in hospitality venues and smoking behavior of young people: a systematic review

INTRODUCTION

While evaluations of indoor smoke-free legislation have demonstrated major public health benefits among adults, their impact on smoking behavior of young people remains unclear. Therefore, we performed a systematic review of the association between smoke-free legislation in hospitality venues and smoking behavior of young people.

METHODS

A systematic search was conducted in PubMed, Scopus, and Embase in June 2020. We searched for studies that assessed the association of any form of smoke-free legislation in any hospitality venue (e.g. bar, restaurant) with a smoking behavior outcome (e.g. initiation, current smoking) among young people (aged 10-24 years).

RESULTS

Our search yielded 572 articles of which 31 were screened based on full-text and 9 were included in the analysis. All studies were published between 2005 and 2016. The majority of studies used a quasi-experimental design. Four studies evaluated smoke-free legislation in hospitality venues specifically. Two studies reported that comprehensive, but not weaker, smoke-free legislation decrease progression to established smoking. Two other studies provided mixed results on which level of comprehensiveness of legislation would be effective, and which smoking outcomes would be affected. Five studies evaluated legislation that also included other workplaces. Out of these five studies, three studies found significant decreases in current smoking, smoking frequency, and/or smoking quantity, while two other studies did not.

CONCLUSION

Most studies found that smoke-free legislation in hospitality venues is associated with a decrease in smoking behavior among young people. Their results indicate the need for comprehensive smoke-free legislation without exemptions.

IMPLICATIONS

This is the first systematic review to provide insight in the relationship between smoke-free legislation in hospitality venues and smoking behavior of young people. Our findings show that there is a need for comprehensive smoke-free legislation without exemptions (such as designated smoking areas).

Changes in tobacco use patterns and motivation to quit related to the new smoke-free legislation in the Czech Republic

BACKGROUND

Smoke-free policy belongs to key public health instruments to promote health in populations. In 2017, new comprehensive smoke-free law prohibiting smoking in indoor public places was implemented. We aimed to measure changes in tobacco smoking patterns and changes in motivation to quit in adult smokers prior to and after the new smoke-free legislation came into force.

METHODS

We conducted a prospective cohort study prior to and post the implementation of Act No. 65/2017 Coll. Self-reported questionnaires were administered to 131 adult smokers by trained nurses in general practitioner offices in Prague. We analysed changes in cigarette consumption per day; ratio of cigarettes smoked in pub, street, work and home; and motivation to quit using regression modelling.

RESULTS

We found a statistically significant decrease in the daily consumption of cigarettes (an average of 1.7 cigarettes per day, P < 0.001, d = 0.34). Smoking in indoor public spaces decreased to almost zero, while tobacco consumption in outdoor public spaces (such as streets and squares) increased by nearly 20%. We observed statistically significant increase of motivation to quit smoking (P = 0.021, d = 0.21).

CONCLUSION

The study brings valuable indication of the desired public health impact related to key legislative change in the Czech Republic.

Evaluation of the London Smoking Cessation Transformation Programme: a time-series analysis

BACKGROUND AND AIM

National social marketing campaigns have been shown to promote smoking cessation in England. There is reason to believe that regional and city-wide campaigns can play a valuable role in reducing smoking prevalence over and above any national tobacco control activity. This study aimed to assess the impact of the London Smoking Cessation Transformation Programme, a multi-component citywide smoking cessation programme, on quit attempts and quit success rates.

DESIGN AND SETTING

Interrupted time-series analyses, using Autoregressive Integrated Moving Average (ARIMA) and generalized additive models (GAM) of population trends in the difference between monthly quit attempts and quit success rates among smokers who made a quit attempt in London versus the rest of England before and during the first year of the programme.

PARTICIPANTS

A total of 55 528 past-year adult smokers who participated in a monthly series of nationally representative cross-sectional surveys in England between November 2006 and August 2018. Twelve and a half per cent of smokers lived in London (intervention region) and 87.5% lived in the rest of England (control region).

MEASUREMENTS

Monthly prevalence of quit attempts and quit success rates among smokers who made a quit attempt.

FINDINGS

The monthly difference in prevalence of quit attempts in London compared with the rest of England increased by 9.59% [95% confidence interval (CI) = 4.35-14.83, P < 0.001] from a mean of 0.04% pre-intervention to 9.63% post-intervention. The observed increase in success rates among those who tried was not statistically significant (B = 4.72; 95% CI = -2.68 to 12.11, P = 0.21); Bayes factors indicated that these data were insensitive. GAM analyses confirmed these results.

CONCLUSION

The promotion of the London Smoking Cessation Transformation Programme during September 2017 was associated with a significant increase in quit attempts compared with the rest of England. The results were inconclusive regarding an effect on quit success among those who tried.

Association between income and education with quit attempts, use of cessation aids, and short-term success in tobacco smokers: A social gradient analysis from a population-based cross-sectional household survey in Germany (DEBRA study)

INTRODUCTION

Smoking is more prevalent in smokers from lower compared with higher socioeconomic (SES) groups, but studies are inconsistent regarding underlying mechanisms. We aimed to assess associations between SES indicators and three distinct aspects of the smoking cessation process: attempting to quit; use of evidence-based cessation treatments; and success.

METHODS

We analysed data of 12,161 last-year smokers (i.e., current smokers and recent ex-smokers who quit ≤ 12 months) from 20 waves (June/July 2016 to August/September 2019) of the German Study on Tobacco Use (DEBRA) - a representative household survey. Associations between indicators of SES (income and education) and (1) last-year quit attempts; (2) use of evidence-based cessation treatment or electronic cigarettes during the last attempt; and (3) short-term self-reported abstinence were analysed using multivariable logistic regression, adjusted for potential confounders.

RESULTS

Of all last-years smokers, 18.6% had attempted to quit, of whom 15.2% had successfully stopped. Higher income (OR 0.82, 95%CI = 0.77-0.88 per 1000€) but low vs. high education (OR 0.83, 95%CI = 0.73-0.95) were associated with lower odds of quit attempts. In smokers with quit attempts, higher income but not education was associated with higher odds of using cessation medication (OR 1.31, 95%CI = 1.08-1.59 per 1000 €). Neither income nor education were associated with using behavioural support or success.

CONCLUSIONS

In the German healthcare system without free access to evidence-based cessation therapy, low-income smokers are more likely to make a quit attempt but less likely to use cessation medication than high-income smokers. Equitable access to such medication is crucial to reduce SES-related health disparities.

Trends in Attempts to Quit Smoking in England Since 2007: A Time Series Analysis of a Range of Population-Level Influences

AIM

To quantify population-level associations between quit attempts and factors that have varied across 2007-2017 in England.

METHODS

Data from 51 867 past-year smokers participating in the Smoking Toolkit Study (a monthly cross-sectional survey of individuals aged 16+) were aggregated over an 11-year period. Time series analysis was undertaken using ARIMAX modeling. The input series were: (1) prevalence of smoking reduction using (a) e-cigarettes and (b) nicotine replacement therapy; (2) prevalence of roll-your-own tobacco use; (3) prevalence of (a) smoking and (b) non-daily smoking; (4) mass media expenditure; (5) average expenditure on smoking; (6) characteristics in the form of (a) prevalence of high motivation to quit, (b) average age, (c) proportion from lower social grades, and (d) average number of cigarettes smoked; and (7) implementation of tobacco control policies.

RESULTS

There was a decline in the prevalence of quit attempts from 44.6% to 33.8% over the study period. The partial point-of-sale ban was associated with a temporary increase in quit attempt prevalence (Badjusted = 0.224%; 95% confidence interval [CI] 0.061 to 0.388). Quit attempts were positively associated with the prevalence of high motivation to quit (Badjusted = 0.165%;95% CI 0.048 to 0.282) and negatively associated with the mean age of smokers (Badjusted = -1.351%; 95% CI -2.168 to -0.534). All other associations were nonsignificant.

CONCLUSION

Increases in the prevalence of high motivation to quit was associated with higher prevalence of attempts to quit smoking, while an increase in the mean age of smokers was associated with lower prevalence. The introduction of the partial point-of-sale ban appeared to have a temporary positive impact.

IMPLICATIONS

This study provides insight into how monthly changes in a wide range of population-level factors are associated with changes in quit attempts over an extended time period in a country with a strong tobacco control climate. The findings suggest a need for intervention or policy to stimulate quit attempts in older smokers. Otherwise, increases in the mean age of a smokers appears likely to undermine wider efforts to promote quit attempts in a population.

Impact of UK Tobacco Control Policies on Inequalities in Youth Smoking Uptake: A Natural Experiment Study

INTRODUCTION

UK countries implemented smoke-free public places legislation and increased the legal age for tobacco purchase from 16 to 18 years between 2006 and 2008. We evaluated the immediate and long-term impacts of these UK policy changes on youth smoking uptake and inequalities therein.

AIMS AND METHODS

We studied 74 960 person-years of longitudinal data from 14 992 youths (aged 11-15 years) in annual UK household surveys between 1994 and 2016. Discrete-time event history analyses examined whether changes in rates of youth smoking transitions (initiation, experimentation, and escalation to daily smoking or quitting) or their inequalities (by parental education) were associated with policy implementation. Parallel analyses examined smoke-free legislation and the change in legal age. We interpret the results as a combined effect of the two pieces of legislation as their implementation dates were too close to identify separate effects. Models were adjusted for sex, age, UK country, historical year, tobacco taxation, and e-cigarette prevalence, with multiple imputation for missing data.

RESULTS

For both policies, smoking initiation reduced following implementation (change in legal age odds ratio [OR]: 0.67; 95% confidence interval [CI]: 0.55 to 0.81; smoke-free legislation OR: 0.68; 95% CI: 0.56 to 0.82), while inequalities in initiation narrowed over subsequent years. The legal age change was associated with annual increases in progression from initiation to occasional smoking (OR: 1.26; 95% CI: 1.07 to 1.50) and a reduction in quitting following implementation (OR: 0.57; 95% CI: 0.35 to 0.94). Similar effects were observed for smoke-free legislation but CIs overlapped the null.

CONCLUSIONS

Policies such as these may be highly effective in preventing and reducing socioeconomic inequalities in youth smoking initiation.

IMPLICATIONS

UK implementation of smoke-free legislation and an increase in the legal age for tobacco purchase from 16 to 18 years were associated with an immediate reduction in smoking initiation and a narrowing of inequalities in initiation over subsequent years. While the policies were associated with reductions in the initiation, progression to occasional smoking increased and quitting decreased following the legislation.

Future smoking prevalence by socioeconomic status in England: a computational modelling study

BACKGROUND

The difference in smoking across socioeconomic groups is a major cause of health inequality. This study projected future smoking prevalence by socioeconomic status, and revealed what is needed to achieve the tobacco-free ambition (TFA) by 2030 in England.

METHODS

Using data from multiple sources, the adult (≥18 years) population in England was separated into subgroups by smoking and highest educational qualification (HEQ). A discrete time state-transition model was used to project future smoking prevalence by HEQ deterministically and stochastically.

RESULTS

In a status quo scenario, smoking prevalence in England is projected to be 10.8% (95% uncertainty interval: 9.1% to 12.9%) by 2022, 7.8% (5.5% to 11.0%) by 2030 and 6.0% (3.7% to 9.6%) by 2040. The absolute difference in smoking rate between low and high HEQ is reduced from 12.2% in 2016 to 7.9% by 2030, but the relative inequality (low/high HEQ ratio) is increased from 2.48 in 2016 to 3.06 by 2030. When applying 2016 initiation/relapse rates, achievement of the TFA target requires no changes to future cessation rates among adults with high qualifications, but increased rates of 37% and 149%, respectively, in adults with intermediate and low qualifications.

CONCLUSIONS

If the current trends continue, smoking prevalence in England is projected to decline in the future, but with substantial differences across socioeconomic groups. Absolute inequalities in smoking are likely to decline and relative inequalities in smoking are likely to increase in future. The achievement of England's TFA will require the reduction of both absolute and relative inequalities in smoking by socioeconomic status.

Association of prevalence of electronic cigarette use with smoking cessation and cigarette consumption in England: a time-series analysis between 2006 and 2017

AIMS

To provide up-to-date estimates of how changes in the prevalence of electronic cigarette (e-cigarette) use in England have been associated with changes in smoking cessation activities and daily cigarette consumption among smokers in England.

DESIGN

Time-series analysis of population trends.

SETTING

England.

PARTICIPANTS

Participants came from the Smoking Toolkit Study, which involves repeated, cross-sectional household surveys of individuals aged 16 years and older in England. Data were aggregated on approximately 1200 past-year smokers each quarter (total n = 50 498) between 2007 and 2017.

MEASUREMENTS

Prevalence of e-cigarette use in current smokers was used to predict (a) prevalence of quit attempts among last-year smokers, (b) overall quit rates among last-year smokers and (c) mean cigarette consumption per day among current smokers. Prevalence of e-cigarette use during a quit attempt among last-year smokers was used to predict (a) quit success rate among last-year smokers and (b) overall quit rates among last-year smokers.

FINDINGS

Overall quit rates increased by 0.054% [95% confidence interval (CI) = 0.032-0.076, P < 0.001] and 0.050% (95% CI = 0.031-0.069, P < 0.001) respectively for every 1% increase in the prevalence of e-cigarette use by smokers and e-cigarette use during a quit attempt. Quit success rates increased by 0.060% (95% CI = 0.043-0.078, P < 0.001) for every 1% increase in the prevalence of e-cigarette use during a quit attempt. No clear evidence was found for an association between e-cigarette use and either prevalence of quit attempt (BAdj = 0.011, 95% CI = -0.046 to 0.069, P = 0.698) or cigarette consumption (BAdj = 0.019, 95% CI = -0.043 to 0.082, P = 0.542).

CONCLUSION

Changes in prevalence of e-cigarette use in England have been positively associated with the overall quit rates and quit success rates but not clearly associated with the prevalence of quit attempts and mean cigarette consumption.

Long-term evaluation of the rise in legal age-of-sale of cigarettes from 16 to 18 in England: a trend analysis

OBJECTIVE

To assess the long-term impact of the increase in age-of-sale of cigarettes from 16 to 18 in England in October 2007.

METHODS

Data were collected between November 2006 and September 2018 on 252,601 participants taking part in a nationally representative survey of adults aged 16+ in England, the Smoking Toolkit Study (STS). We assessed the impact of the introduction of the increase in age-of-sale on prevalence of ever smoking, current smoking, and quit attempts, among 16-17 year olds compared with 18-24 year olds.

RESULTS

Following the increase in age-of-sale, there was a declining trend in ever smoking that was greater among 16-17 year olds than 18-24 year olds (OR 0.990 versus OR 0.993; p = 0.019). Data on current smoking were insensitive to detect a difference between the age groups in a step-level change or change in trend following the increase in age-of-sale (Bayes factors (BFs) 0.75 and 2.10). Data on quit attempts were also insensitive to detect a change in trend (BF 0.71), and despite a greater step-level decline among those aged 16-17 (OR 0.311 versus OR 0.547, p = 0.025), quit attempts remained higher among those aged 16-17. Secondary analysis indicated that post-policy change, trends in current and ever smoking were linear for 16-17 year olds but quadratic for 18-24 year olds (slowing decline).

CONCLUSION

There is some evidence from an assessment of long-term trends in the Smoking Toolkit Study that the increase in legal age-of-sale of cigarettes in England was associated with a greater long-term decline in ever smoking among those aged 16-17 compared with those aged 18-24.

Population-level predictors of changes in success rates of smoking quit attempts in England: a time series analysis

AIMS

To quantify associations between the success of smoking quit attempts and factors that have varied throughout 2007-2018 at a population level.

DESIGN

time series analysis using Autoregressive Integrated Moving Average with Exogeneous Input (ARIMAX) modelling.

SETTING AND PARTICIPANTS

Data were aggregated from 54 847 past-year smokers taking part in the Smoking Toolkit Study which involves monthly repeated cross-sectional household surveys of individuals aged 16+ in England.

MEASUREMENTS

The input series were: (1) attempts at smoking reduction using (a) e-cigarettes and (b) nicotine replacement therapy (NRT); (2) use during a quit attempt of (a) e-cigarettes, (b) NRT over-the-counter, (c) medication on prescription and (d) face-to-face behavioural support; (3) use of roll-your-own tobacco; (4) prevalence of (a) smoking and (b) non-daily smoking; (5) tobacco control mass media expenditure; (6) expenditure on smoking; (7) smoker characteristics in the form of (a) high motivation to quit, (b) average age, (c) socio-economic status and (d) cigarette consumption; (8) implementation of tobacco control policies; and (9) quit attempt rate.

FINDINGS

The licensing of NRT for harm reduction was associated with a 0.641% [95% confidence interval (CI) = 0.073-1.209, P = 0.027] increase in the mean point prevalence of the success rate of quit attempts. For every 1% increase in the mean point prevalence of e-cigarette use and use of prescription medication during a quit attempt, the mean point prevalence of successful quit attempts increased by 0.106% (95% CI = 0.011-0.201, P = 0.029) and 0.143% (95% CI = 0.009-0.279, P = 0.038), respectively. For every 1% increase in the mean expenditure on tobacco control mass media, the mean point prevalence of successful quit attempts increased by 0.046% (95% CI = 0.001-0.092, P = 0.046). Other associations were not statistically significant.

CONCLUSION

In England between 2007 and 2018, licensing of nicotine replacement therapy for use in harm reduction, greater use of e-cigarettes and prescription medications during a quit attempt and higher expenditure on tobacco control mass media were all associated with higher success rates of quit attempts.

The educational gap in tar and nicotine content in purchases of cigarettes: An observational study using large-scale representative survey data from Japan

The intensity of tobacco use is commonly measured by the number of cigarettes, which is inaccurate because it masks the heterogeneity and substances contained in tobacco. Unlike existing studies, this study adopted the tar and nicotine content of purchased cigarettes as proxies for smoking intensity and elicited socioeconomic disparities from the participants regarding tobacco use. Using a nationally representative consumer panel survey of Japan from 2010 to 2014, we found that socioeconomic disparities in smoking are more pronounced when tar and nicotine content in cigarettes is considered. University graduates purchased 26% fewer cigarettes, and 40% less tar or nicotine than their secondary school-educated counterparts. Low education groups purchased more tar-rich cigarettes, which cost less than low-tar cigarettes. The public health recommendations for reducing socioeconomic health inequalities might be understated because they are drawn from evidence based on the number of cigarettes smoked.

Comparison of Trends in Self-reported Cigarette Consumption and Sales in England, 2011 to 2018

Importance

Population cigarette consumption is declining in many countries. Accurate estimates of long- and short-term changes are vital for policy evaluation and planning. Survey data and sales data that are used to make these estimates each have important potential biases, so triangulation using different methods is required for robust estimation.

Objectives

To compare monthly estimates of cigarette consumption in England from a nationally representative survey and recorded cigarette sales and to triangulate an accurate estimate of changes in cigarette consumption since 2011.

Design, Setting, and Participants

This study used time series analyses based on survey data and recorded cigarette sales to estimate and compare trends in population cigarette consumption in England from 2011 to 2018. Survey participants were representative samples of 1700 people aged 16 years or older each month in England.

Main Outcomes and Measures

Monthly cigarette retail sales data from August 2011 through February 2018 were obtained from a data agency. Monthly self-reports of cigarette consumption were collected over the same period using the Smoking Toolkit Study.

Results

A total of 136 677 individuals (51.1% female; mean [SD] age, 46.7 [18.8] years) were surveyed. Over the study period, mean monthly cigarette consumption in England was 2.85 billion (95% CI, 2.78 billion to 2.93 billion) cigarettes based on survey data compared with 3.08 billion (95% CI, 3.03 billion to 3.13 billion) estimated from sales data. Over the whole period, cigarette consumption declined by 24.4% based on survey data and 24.1% based on sales data. This equated to 118.4 million and 117.4 million fewer cigarettes consumed per month (or approximately 1.4 billion per year) based on survey data and sales data, respectively. After adjusting for underlying trends, month-by-month changes in cigarette consumption were closely aligned: a 1% change in survey-estimated cigarette consumption was associated with a 0.98% (95% CI, 0.53%-1.44%) change in sales estimates.

Conclusions and Relevance

Survey data and sales data were closely aligned in showing that overall cigarette sales in England have declined by almost a quarter since 2011, amounting to more than 1 billion fewer cigarettes smoked each year. The alignment between the 2 methods provides increased confidence in the accuracy of parameters provided by the Smoking Toolkit Study and sales data. It indicates that estimated changes in cigarette consumption are robust and provide a meaningful basis for policy evaluation and planning.

What do cost-effective health behaviour-change interventions contain? A comparison of six domains

OBJECTIVES

To help implement behaviour change interventions (BCIs) in practice it is important to be able to characterize their key components. This study compared broad features of cost-effective BCIs that addressed smoking, diet, physical activity, alcohol and sexual health. It also assessed the association of these with the magnitude of the cost-effectiveness estimates.

METHODS

A content analysis of 79 interventions based on 338 intervention descriptions was conducted, using the Behaviour Change Wheel (BCW) to classify intervention content in terms of intervention functions, and the BCT taxonomy to identify and categorise component Behaviour Change Techniques (BCT). Regression analysis identified the association of these with upper (pessimistic) and lower (optimistic) cost-effectiveness estimates.

RESULTS

The most and least common functions and BCT clusters were education (82.3%) and shaping knowledge (79.7%), and coercion (3.8%) and covert learning (2.5%). Smoking interventions contained the largest ([Formula: see text] = 12) number of BCTs and were most cost-effective. Several other factors were associated with worse (coercionfunction βupper = 36551.24; shaping knowledgeBCT βlower = 2427.78; comparison of outcomesBCT βupper = 9067.32; repetition and substitutionBCT βupper = 7172.47) and better (modellingfunction βlower = -2905.3; environmental restructuringfunction βupper = -8646.28; reward and threatBCT βupper = -5577.59) cost-effectiveness (p<0.05).

DISCUSSION

Cost-effective BCIs rely heavily on education with smoking interventions exhibiting the most comprehensive range of BCTs. Providing an example to aspire to, restructuring the environment and rewarding positive behaviour may be associated with greater cost-effectiveness.

Impact of the NHS Stop Smoking Services on smoking prevalence in England: a simulation modelling evaluation

Background

The English National Health Service NHS Stop Smoking Services (SSS), established in 2001, were the first such services in the world. An appropriate evaluation of the SSS has national and international significance. This modelling study sought to evaluate the impact of the SSS on changes in smoking prevalence in England.

Methods

A discrete time state-transition model was developed to simulate changes in smoking status among the adult population in England during 2001–2016. Input parameters were based on data from national statistics, population representative surveys and published literature. The main outcome was the percentage point reduction in smoking prevalence attributable to the SSS.

Results

Smoking prevalence was reduced by 10.8 % in absolute terms during 2001–2016 in England, and 15.3 % of the reduction could be attributable to the SSS. The percentage point reduction in smoking prevalence each year was on average 0.72%, and 0.11 % could be attributable to the SSS. The proportion of SSS supported quit attempts increased from 5.5 % in 2001, to as high as 18.9 % in 2011, and then reduced to 8.2 % in 2016. Quit attempts with SSS support had a higher success rate than those without SSS support (15.1% vs 11.3%). Smoking prevalence in England continued to decline after the SSS was much reduced from 2013 onwards.

Conclusions

Approximately 15% of the percentage point reduction in smoking prevalence during 2001–2016 in England may be attributable to the NHS SSS, although uncertainty remains regarding the actual impact of the formal smoking cessation services.

Comparing and contrasting responses to tobacco control and obesity policies: a qualitative study

OBJECTIVE

To explore people's perceptions of, and responses to, obesity and tobacco policies with a particular focus on motivation; and to compare and contrast responses to explore the potential for translating learning across domains.

DESIGN

A theoretically informed comparative qualitative study involving semi-structured interviews with two groups of participants (smokers and ex-smokers; those who have previously or are currently attempting to lose weight). Data were analysed inductively using thematic analysis and interpreted through the lens of Self-Determination Theory.

SETTING

Community-based.

PARTICIPANTS

Interviews were conducted with five smokers and four ex-smokers around tobacco policy, and seventeen people acting to control their weight around obesity policy.

RESULTS

Three primary themes were identified. (i) Participants believed social norms to be crucial to supporting health behaviour change and responses to policy; not smoking was perceived as socially normal, whereas being physically active and eating healthily were perceived to go against social norms. (ii) Policies influencing the physical environment were perceived to support stopping smoking (e.g. smoke-free laws, advertising bans), but to undermine attempts to lose or control weight (e.g. high visibility, availability and low cost of energy-dense foods). (iii) While policies for both domains were considered necessary and legitimate, both groups found policy interventions neither motivating nor undermining of their sense of autonomy.

CONCLUSIONS

The results suggest those trying to lose weight respond similarly to obesity-related policy as smokers do to tobacco policy. Environmental interventions are perceived to be more helpful than appealing to people's motivation to change for their own sake.

Is prevalence of e-cigarette and nicotine replacement therapy use among smokers associated with average cigarette consumption in England? A time-series analysis

OBJECTIVES

Many smokers use e-cigarettes and licensed nicotine replacement therapy (NRT), often in an attempt to reduce their cigarette consumption. We estimated how far changes in prevalence of e-cigarette and NRT use while smoking were accompanied by changes in cigarette consumption at the population level.

DESIGN

Repeated representative cross-sectional population surveys of adults aged 16+ years in England.

METHODS

We used Autoregressive Integrated Moving Average with Exogeneous Input (ARIMAX) modelling of monthly data between 2006 and 2016 from the Smoking Toolkit Study. Prevalence of e-cigarette use and NRT use in current smokers, and specifically for smoking reduction and temporary abstinence, were input variables. Mean daily cigarette consumption was the dependent variable. Analyses involved adjustment for mass media expenditure and tobacco-control policies.

RESULTS

No statistically significant associations were found between changes in use of e-cigarettes (β -0.012, 95% CI -0.026 to 0.002) or NRT (β 0.015, 95% CI -0.026 to 0.055) while smoking and daily cigarette consumption. Neither did we find clear evidence for an association between e-cigarette use (β -0.010, 95% CI -0.025 to 0.005 and β 0.011, 95%-0.027 to 0.004) or NRT use (β 0.006, 95%-0.030 to 0.043 and β 0.022, 95%-0.020 to 0.063) specifically for smoking reduction and temporary abstinence, respectively, and changes in daily cigarette consumption.

CONCLUSION

If use of e-cigarettes and licensed NRT while smoking acted to reduce cigarette consumption in England between 2006 and 2016, the effect was likely very small at a population level.

Socioeconomic status and cigarette expenditure among US households: results from 2010 to 2015 Consumer Expenditure Survey

OBJECTIVES

To examine (1) the association between household socioeconomic status (SES) and whether a household spends money on cigarettes and (2) socioeconomic variations in proportion of total household expenditure spent on cigarettes among smoking households.

METHODS

We pooled data from six consecutive years, 2010-2015, of the Consumer Expenditure Interview Survey. The interviews involved a structured questionnaire about household income, demographics and expenditures including expenditure on cigarettes. Households that reported cigarette expenditure in the previous 3 months were distinguished as smoking households. SES indicators were household poverty status, education and occupation of the head of household. Logistic regression was used to assess the association of household smoking status with SES. Fractional logistic regression was used to assess the association of cigarette expenditure as a proportion of total household expenditure with SES. The analysis sample size was 39 218.

RESULTS

The probability of spending money on cigarettes was higher among lower SES households. Households in poverty compared with those above 300% of poverty threshold had 1.86 (95% CI 1.61 to 2.16), households headed by a person with less than high school education compared with those headed by a person with at least a bachelor's degree had 3.37 (95% CI 2.92 to 3.89) and households headed by a blue-collar work compared with those headed by a person in a managerial occupation had 1.45 (95% CI 1.26 to 1.66) higher odds of spending money on cigarettes. Similarly, the proportion of total household expenditure spent on cigarettes was higher among lower SES smoking households.

CONCLUSION

Lower SES households are more likely to spend money on cigarettes and spend a larger proportion of their total expenditure on cigarettes. We recommend strategies effective in reducing smoking among low SES smokers.

Estimates of effectiveness and reach for 'return on investment' modelling of smoking cessation interventions using data from England

BACKGROUND AND AIMS

Estimating 'return on investment' (ROI) from smoking cessation interventions requires reach and effectiveness parameters for interventions for use in economic models such as the EQUIPT ROI tool (http://roi.equipt.eu). This paper describes the derivation of these parameter estimates for England that can be adapted to create ROI models for use by other countries.

METHODS

Estimates were derived for interventions in terms of their reach and effectiveness in: (1) promoting quit attempts and (2) improving the success of quit attempts (abstinence for at least 12 months). The sources were systematic reviews of efficacy supplemented by individual effectiveness evaluations and national surveys.

FINDINGS

Quit attempt rates were estimated to be increased by the following percentages (with reach in parentheses): 20% by tax increases raising the cost of smoking 5% above the cost of living index (100%); 10% by enforced comprehensive indoor public smoking bans (100%); 3% by mass media campaigns achieving 400 gross rating points (100%); 40% by brief opportunistic physician advice (21%); and 110% by use of a licensed nicotine product to reduce cigarette consumption (12%). Quit success rates were estimated to be increased by the following ratios: 60% by single-form nicotine replacement therapy (NRT) (5%); 114% by NRT patch plus a faster-acting NRT (2%);124% by prescribed varenicline (5%); 60% by bupropion (1%); 100% by nortriptyline (0%), 10) 298% by cytisine (0%); 40% by individual face-to-face behavioural support (2%); 37% by telephone support (0.5%); 88% by group behavioural support (1%); 63% by text messaging (0.5%); and 19% by printed self-help materials (1%). There was insufficient evidence to obtain reliable, country-specific estimates for interventions such as websites, smartphone applications and e-cigarettes.

CONCLUSIONS

Tax increases, indoor smoking bans, brief opportunistic physician advice and use of nicotine replacement therapy (NRT) for smoking reduction can all increase population quit attempt rates. Quit success rates can be increased by provision of NRT, varenicline, bupropion, nortriptyline, cytisine and behavioural support delivered through a variety of modalities. Parameter estimates for the effectiveness and reach of these interventions can contribute to return on investment estimates in support of national or regional policy decisions.

Cost-effectiveness of alternative smoking cessation scenarios in Spain: results from the EQUIPTMOD

AIMS

To assess the cost-effectiveness of alternative smoking cessation scenarios from the perspective of the Spanish National Health Service (NHS).

DESIGN

We used the European study on Quantifying Utility of Investment in Protection from Tobacco model (EQUIPTMOD), a Markov-based state transition economic model, to estimate the return on investment (ROI) of: (a) the current provision of smoking cessation services (brief physician advice and printed self-helped material + smoking ban and tobacco duty at current levels); and (b) four alternative scenarios to complement the current provision: coverage of proactive telephone calls; nicotine replacement therapy (mono and combo) [prescription nicotine replacement therapy (Rx NRT)]; varenicline (standard duration); or bupropion. A rate of 3% was used to discount life-time costs and benefits.

SETTING

Spain.

PARTICIPANTS

Adult smoking population (16+ years).

MEASUREMENTS

Health-care costs associated with treatment of smoking attributable diseases (lung cancer, coronary heart disease, chronic obstructive pulmonary infection and stroke); intervention costs; quality-adjusted life years (QALYs). Costs and outcomes were summarized using various ROI estimates.

FINDINGS

The cost of implementing the current provision of smoking cessation services is approximately €61 million in the current year. This translates to 18 quitters per 1000 smokers and a life-time benefit-cost ratio of 5, compared with no such provision. All alternative scenarios were dominant (cost-saving: less expensive to run and generated more QALYs) from the life-time perspective, compared with the current provision. The life-time benefit-cost ratios were: 1.87 (proactive telephone calls); 1.17 (Rx NRT); 2.40 (varenicline-standard duration); and bupropion (2.18). The results remained robust in the sensitivity analysis.

CONCLUSIONS

According to the EQUIPTMOD modelling tool it would be cost-effective for the Spanish authorities to expand the reach of existing GP brief interventions for smoking cessation, provide pro-active telephone support, and reimburse smoking cessation medication to smokers trying to stop. Such policies would more than pay for themselves in the long run.

Cigarette tax rates, behavioral disengagement, and quit ratios among daily smokers

Cigarette taxation is an economics-based policy associated with increased population-level quit ratios. However, the estimated effects of tax increase on smoking behavior vary substantially, underscoring the need to identify moderating variables. We examined whether behavioral disengagement - the tendency to abandon goals when experiencing stress - modified the association between cigarette taxes and daily smoking behavior. We connected state-level cigarette tax rate data with individual-level behavioral data, including a national sample of 725 US adults who smoked daily at baseline and reported follow-up data approximately 10 years later, and 376 who were resampled a third time after another 10 years. Analyses involved multilevel logistic regression (with time as a nested variable and anonymized state codes as a grouping variable), where current smoking status (dichotomous) was regressed on behavioral disengagement, state-level cigarette tax at baseline and current time, and the interaction between disengagement and current tax. Consistent with hypotheses, tax rate interacted with disengagement (OR=0.95, 95% CI=0.90,0.99, p=.0255): Among those one SD above the mean for disengagement, tax rate was unassociated with quit ratio (OR=0.99, 95% CI=0.85,1.16, p=.6975). However, among those one SD below the mean, tax rate was significantly associated with higher quit ratio (OR=1.22, 95% CI=1.04,1.43, p=.0163). Our data suggest the possibility that cigarette taxes may be more effective in facilitating cessation among smokers low in behavioral disengagement or when accompanied by interventions that reduce stress or maintain goal pursuit. Identifying psychological moderators of policy effectiveness holds promise for improving policy design and targeting.

Ineffectiveness of the Tobacco Hazards Prevention Act in patients with severe and persistent mental illness

OBJECTIVES

The effect of the Tobacco Hazards Prevention Act (THPA) on the reduction of tobacco use in the general population in Taiwan is understood. However, there has been little research on how these policies affect people with severe and persistent mental illness (SPMI). Hence, the influence of the THPA on daily cigarette use by patients with SPMI was investigated in a 3-year follow-up. The risk and protective factors in smoking behavior and cessation were investigated.

STUDY DESIGN

This is an observational study.

METHODS

A total of 144 participants (78 of whom had smoked >100 cigarettes throughout their lifetime) were randomly selected from a healthcare network. Then, 100 of 144 patients with SPMI, included 50 smokers and 50 non-smokers, have agreed with 1st year follow-up. Eighty-two patients with SPMI, consisted of 44 smokers and 38 non-smokers, have agreed with 2nd year follow-up.

RESULTS

Although women were less likely to smoke than men, those who did smoke reduced the number of cigarettes less than men over the 3-year period. Less-educated patients were more likely to smoke than those who were more educated but reduced the number of daily cigarettes more after implementation of the THPA. Maternal overprotection was a risk factor and paternal care a protective factor for smoking. Addiction, a perception of pleasure, interpersonal relationships, and self-destructive behavior increased cigarette smoking. Patients perceived that smoking alleviated their depressive symptoms.

CONCLUSIONS

The THPA was ineffective for patients with SPMI. Some factors had different effects on the development of smoking behavior and the cessation process. Understanding the etiology of smoking can help policymakers establish more effective programs for smoking prevention and cessation.

Influence of legislations and news on Indian internet search query patterns of e-cigarettes

BACKGROUND

There is a paucity of data on the use of electronic nicotine delivery systems (ENDS) in India. In addition, the Indian internet search pattern for ENDS has not been studied. We aimed to address this lacuna. Moreover, the influence of the tobacco legislations and news pieces on such search volume is not known. Given the fact that ENDS could cause oral lesions, these data are pertinent to dentists.

METHODS

Using a time series analysis, we examined the effect of tobacco-related legislations and news pieces on total search volume (TSV) from September 1, 2012, to August 31, 2016. TSV data were seasonally adjusted and analyzed using time series modeling. The TSV clocked during the month of legislations and news pieces were analyzed for their influence on search pattern of ENDS.

RESULTS

The overall mean ± standard deviation (range) TSV was 22273.75 ± 6784.01 (12310-40510) during the study with seasonal variations. Individually, the best model for TSV-legislation and news pieces was autoregressive integrated moving average model, and when influence of legislations and news events were combined, it was the Winter's additive model. In the legislation alone model, the pre-event, event and post-event month TSV was not a better indicator of the effect, barring for post-event month of 2^nd legislation, which involved pictorial warnings on packages in the study period. Similarly, a news piece on Pan-India ban on ENDS influenced the model in the news piece model. When combined, no "events" emerged significant.

CONCLUSIONS

These findings suggest that search for information on ENDS is increasing and that these tobacco control policies and news items, targeting tobacco usage reduction, have only a short-term effect on the rate of searching for information on ENDS.

What factors are important in smoking cessation and relapse in women from deprived communities? A qualitative study in Southeast England

OBJECTIVES

Women are relatively more susceptible to smoking-related diseases and find it more difficult to quit; however, little research exists on factors associated with smoking cessation and relapse in women. We examined attitudes towards and perceptions of factors associated with smoking cessation and relapse in women from deprived communities.

STUDY DESIGN

Qualitative interview study.

METHODS

Participants included eleven women, smokers and ex-smokers, from disadvantaged communities in East Sussex, England, who had used the National Health Service (NHS) stop smoking service. Data were collected through a focus group and semi-structured interviews, and subjected to thematic analysis.

RESULTS

Participants opined that it is more difficult for women to quit smoking than men. Women felt that postcessation weight gain was inevitable and acted as a barrier to quitting. Hormonal fluctuations during the menstrual cycle and greater levels of stress were perceived as obstacles to quitting and reasons for relapse. Conversely, the women cited effects of smoking on physical appearance, oral hygiene and guilt about exposing children to passive smoke as powerful motivators to quit; and highlighted the impact of public health campaigns that focused on these factors. Views diverged on whether quitting with someone close to you is a help or hindrance. Other themes including alcohol intake, daily routine and being in the presence of smokers emerged as situational triggers of relapse.

CONCLUSIONS

Interventions that address women's concerns related to postcessation weight gain, hormonal fluctuations during the menstrual cycle and stress may aid with smoking cessation and reduce relapse. Public health campaigns should consider the impact of smoking on physical appearance and the effect of passive smoke on children.

Effect of Tobacco Control Policies on Information Seeking for Smoking Cessation in the Netherlands: A Google Trends Study

Background

The impact of tobacco control policies on measures of smoking cessation behaviour has often been studied, yet there is little information on their precise magnitude and duration. This study aims to measure the magnitude and timing of the impact of Dutch tobacco control policies on the rate of searching for information on smoking cessation, using Google Trends search query data.

Methods

An interrupted time series analysis was used to examine the effect of two types of policies (smoke-free legislation and reimbursement of smoking cessation support (SCS)) on Google searches for ‘quit smoking’. Google Trends data were seasonally adjusted and analysed using autoregressive integrated moving average (ARIMA) modelling. Multiple effect periods were modelled as dummy variables and analysed simultaneously to examine the magnitude and duration of the effect of each intervention. The same analysis was repeated with Belgian search query data as a control group, since Belgium is the country most comparable to the Netherlands in terms of geography, language, history and culture.

Results

A significant increase in relative search volume (RSV) was found from one to four weeks (21–41%) after the introduction of the smoking ban in restaurants and bars in the Netherlands in 2008. The introduction of SCS reimbursement in 2011 was associated with a significant increase of RSV (16–22%) in the Netherlands after 3 to 52 weeks. The reintroduction of SCS in 2013 was associated with a significant increase of RSV (9–21%) in the Netherlands from 3 to 32 weeks after the intervention. No effects were found in the Belgian control group for the smoking ban and the reintroduction of SCS in 2013, but there was a significant increase in RSV shortly before and after the introduction of SCS in 2011.

Conclusions

These findings suggest that these tobacco control policies have short-term or medium-term effects on the rate of searching for information on smoking cessation, and therefore potentially on smoking cessation rates.

Smoking behaviors before and after implementation of a smoke-free legislation in Guangzhou, China

Background

According to the partial smoke-free legislation implemented on 1 September 2010 in Guangzhou, China, smoke-free did not cover all indoor areas. Some places have a full smoking ban (100 % smoke-free), other places have a partial smoking ban, and homes have no ban. This study aimed to compare the smoking behaviors before and after implementation of a smoke-free legislation.

Method

A repeated cross-sectional survey was conducted on smoking-related behaviors with a total of 4,900 respondents before, and 5,135 respondents after the legislation was instituted. For each wave of the survey, a three-stage stratified sampling process was used to obtain a representative sample. Pearson’s Chi-square test was used to determine differences of smoking prevalence and quit ratio between the two samples. Logistic regression models were used to examine the associations of a smoke-free legislation with smoking behaviors.

Results

The overall daily smoking rate declined significantly from 20.8 % to 18.2 % (p < 0.05), especially among those aged 15–24 years. The quit ratios increased significantly (from 14.5 % to 17.9 %), but remained low among 15–44 year olds. The overall self-reported smoking behaviors in locations with a full smoking ban decreased significantly from 36.4 % to 24.3 % with the greater drops occurring in cultural venues, public transport vehicles, and government offices. Smoking in places with partial smoking bans remained high (89.6 % vs. 90.4 %), although a slight decrease was observed in some of these areas. The implementation of a smoke-free legislation did not lead to more smoking in homes (91.0 % vs 89.4 %), but smoking in homes remained high.

Conclusions

These findings highlight the urgent need for a comprehensive smoke-free legislation covering all public places in Guangzhou, simultaneously educational interventions and campaigns promoting voluntary changes in home smoking need to occur.

Muslim communities learning about second-hand smoke: a pilot cluster randomised controlled trial and cost-effectiveness analysis

BACKGROUND

In the United Kingdom, men of Bangladeshi and Pakistani origin have higher smoking rates than the general population. This makes non-smokers in their households more vulnerable to second-hand smoke (SHS) exposure than the general population.

AIMS

The aim of this study was to investigate the feasibility of implementing and pilot testing the effectiveness and cost-effectiveness of a 'Smoke-free Homes' (SFH) intervention in Islamic religious settings to encourage families of Bangladeshi and Pakistani origin to apply smoking restrictions in their homes.

METHODS

We allocated Islamic religious settings (clusters) to either receive SFH-an educational intervention-or to a control arm. Within each cluster, we recruited households with at least one smoker and one non-smoker. SHS exposure among non-smokers was measured using salivary cotinine.

RESULTS

Seven (50%) clusters were randomised to each trial arm. A total of 468 households were assessed for eligibility and 62% (n=289) were eligible, of which 74% (n=213) agreed to participate in the trial. Six of the seven intervention clusters delivered the intervention, and all clusters were retained throughout the trial. In all, 81% (n=172) of households provided data at follow-up. No evidence of a difference in log cotinine level was observed (adjusted mean difference -0.02, 95% confidence interval (CI) -1.28-1.23, P=0.97) between the two trial arms. The direct mean cost of delivering the intervention was £18.18 per household (range £3.55-42.20).

CONCLUSIONS

It was possible to recruit, randomise and retain Islamic religious settings and participant households. However, some of the original assumptions, in particular our ability to collect primary outcome data, need to be revisited before a definitive trial.

An international smoking ban-how many lives will be saved?

Multicomponent tobacco control strategies are crucial to combat the ongoing global smoking challenge. In the twenty-first century, many countries have signed up to the World Health Organization Framework Convention on Tobacco Control, and in recent years a mounting number of countries and regions have implemented partial or complete smoking bans to protect the general public from passive smoke exposure. There is substantial evidence that workers, particularly in the hospitality sector, benefit from reduced exposure. More recently, several reports have appeared from different countries showing a temporal relationship between the introduction of a smoking ban and reduced hospital admissions for cardiovascular, respiratory and maternity outcomes. This will have a measurable benefit for public health, saving many lives. Multicomponent strategies could also reduce active smoking significantly if successfully implemented worldwide.

The effect of smoke-free policies on hospitality industry revenues in Cyprus: an econometric approach

OBJECTIVE

Smoke-free policies aiming to improve quality of indoor air and significantly reduce exposure to secondhand smoke in the hospitality industry are faced with strong opposition from the tobacco industry and hospitality venue owners claiming that they lead to reductions of revenues. The objective of our study was to examine the impact of a recently introduced smoke-free legislation on the revenues of the hospitality industry in Cyprus.

METHODS

Anonymous information on revenues was obtained from the Cyprus government value added tax office for the entire hospitality industry in Cyprus including hotels, bars, restaurants and cafeterias between 2005 and 2011. Panel data methodology was used to examine the effect of a smoke-free legislation, on tourism, businesses' revenues adjusting for gross domestic product, inflation, unemployment rate, tourists' arrivals, seasonal variation and the economic crisis.

RESULTS

Our study showed that the implementation of the smoke-free policy did not have negative effects on the hospitality industry profitability.

CONCLUSIONS

We conclude that even in regions with relatively high smoking rates, pro-smoking societal attitudes and weak social norms against tobacco control, and even during periods of economic crisis, smoke-free legislation does not impact negatively on hospitality industry revenues and if anything may lead to a small positive increase.

What is the evidence for hardening in the cigarette smoking population? Trends in nicotine dependence in the U.S., 2002-2012

BACKGROUND

It is unclear whether declines in cigarette smoking in the U.S. have resulted in a hardened population of "hardcore" smokers. We studied changes in nicotine dependence severity from 2002 to 2012, using data from the National Survey on Drug Use and Health.

METHODS

We used generalized non-linear factor analysis to examine whether individual Nicotine Dependence Syndrome Scale (NDSS) items functioned differently over time, and whether average NDSS scores changed in a sample of 130,637 current smokers. We also examined trends for individual NDSS sub-scales and whether trends were moderated by tobacco consumption and socio-demographic factors.

RESULTS

Consumption levels and dependence severity both declined over the study period. This decline was driven by priority (e.g., avoiding smoke-free locations) and tolerance dimensions of dependence, while drive (e.g., craving and smoking to relieve negative affect) and continuity (e.g., stability) of smoking did not change. Declines for tolerance were greatest among those without serious psychological distress and among middle-aged smokers. Drive and continuity increased among women and low income smokers.

CONCLUSIONS

We did not find evidence of hardening at the population level for smokers in the U.S., 2002-2012. However, there is evidence of hardening when considering drive and continuity-related nicotine dependence among women and low-income smokers, suggesting these sub-groups are experiencing greater severity of craving, smoking to relieve negative affect, and regularity of smoking despite reduced consumption.

Secondhand smoke exposure and maternal action to protect children from secondhand smoke: pre- and post-smokefree legislation in Hong Kong

Background

Smokefree legislation may protect children from secondhand smoke (SHS) in the home from smoking parent(s). We examined the effect of the 2007 smokefree legislation on children’s exposure to SHS in the home and maternal action to protect children from SHS exposure in Hong Kong.

Methods

Families with a smoking father and a non-smoking mother were recruited from public clinics before (2005–2006, n = 333) and after the legislation (2007–2008, n = 742) which led to a major extension of smokefree places in Hong Kong. Main outcomes included children’s SHS exposure in the home, nicotine level in mothers’ and children’s hair and home environment, mothers’ action to protect children from SHS, and their support to the fathers to quit.

Results

Fewer mothers post-legislation reported children’s SHS exposure in the home (87.2% versus 29.3%, p<0.01), which was consistent with their hair nicotine levels (0.36ng/mg versus 0.04ng/mg, p<0.01). More mothers post-legislation in the last month took their children away from cigarette smoke (6.3% versus 92.2%; p<0.01) and advised fathers to quit over 3 times (8.3% versus 33.8%; p<0.01). No significant change was found in the content of smoking cessation advice and the proportion of mothers who took specific action to support the fathers to quit.

Conclusions

SHS exposure in the home decreased and maternal action to protect children from SHS increased after the 2007 smokefree legislation. Maternal support to fathers to quit showed moderate improvement. Cessation services for smokers and specific interventions for smoking families should be expanded together with smokefree legislation.

Equity impact of population-level interventions and policies to reduce smoking in adults: a systematic review

BACKGROUND AND AIMS

There is strong evidence about which tobacco control policies reduce smoking. However, their equity impact is uncertain. The aim was to assess the effectiveness of population-level interventions/policies to reduce socioeconomic inequalities in adult smoking.

METHODS

Systematic review of studies of population-level interventions/policies reporting smoking-related outcomes in adults of lower compared to higher socioeconomic status (SES). References were screened and independently checked. Studies were quality assessed. Results are presented in a narrative synthesis. Equity impact was assessed as: positive (reduced inequality), neutral (no difference by SES), negative (increased inequality), mixed (equity impact varied) or unclear.

RESULTS

117 studies of 130 interventions/policies were included: smokefree (44); price/tax (27); mass media campaigns (30); advertising controls (9); cessation support (9); settings-based interventions (7); multiple policies (4). The distribution of equity effects was: 33 positive, 36 neutral, 38 negative, 6 mixed, 17 unclear. Most neutral equity studies benefited all SES groups. Fourteen price/tax studies were equity positive. Voluntary, regional and partial smokefree policies were more likely to be equity negative than national, comprehensive smokefree policies. Mass media campaigns had inconsistent equity effects. Cigarette marketing controls were equity positive or neutral. Targeted national smoking cessation services can be equity positive by achieving higher reach among low SES, compensating for lower quit rates.

CONCLUSIONS

Few studies have assessed the equity impact of tobacco control policy/interventions. Price/tax increases had the most consistent positive equity impact. More research is needed to strengthen the evidence-base for reducing smoking inequalities and to develop effective equity-orientated tobacco control strategies.

Are statewide restaurant and bar smoking bans associated with reduced cigarette smoking among those with mental illness?

BACKGROUND

Smoke-free air laws have effectively reduced cigarette consumption at the population level; however, the influence of these policies on smoking among those with mental illness is unclear. We examined whether associations between statewide restaurant/bar smoking bans and cigarette smoking varied by psychiatric diagnoses and gender.

METHODS

We analyzed data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC, Wave 1: 2001-2002; Wave 2: 2004-2005; n = 7,317 smokers). All analyses were stratified by gender. We examined whether tobacco cessation was associated with the interaction between ban implementation and Wave 1 psychiatric diagnoses (alcohol use disorder [AUD], anxiety disorder [AD], or mood disorder), adjusting for relevant covariates. Among those who continued to use tobacco at Wave 2, we examined associations between Wave 2 cigarettes per day (CPD) and the diagnoses × ban interactions, controlling for Wave 1 CPD and other relevant covariates.

RESULTS

Among men with an AUD and women with an AD, ban implementation was associated with 6% and 10% greater probability of tobacco cessation at Wave 2, respectively. Among men in the overall sample, ban implementation was associated with smoking 0.8 fewer CPD at Wave 2. Associations with CPD were nonsignificant among women. Interactions between ban implementation and psychiatric diagnoses were also nonsignificant when examining CPD, suggesting consistent reductions in CPD among men but not among women.

CONCLUSIONS

This study provided the first evidence that statewide restaurant/bar smoking bans may be associated with reduced smoking among those with select psychiatric conditions.

Impact of the 2009 Taiwan tobacco hazards prevention act on smoking cessation

AIMS

In January 2009, the government of Taiwan amended the 1997 Tobacco Hazards Prevention Act by extending smoke-free areas to include almost all enclosed work-places and public places, adding graphic health warnings to cigarette packages, totally banning tobacco advertisements, promotion and sponsorship and increasing tobacco taxes. This study examined the impact of the 2009 amended Act on smoking cessation in Taiwan.

DESIGN

Taiwan Adult Tobacco Surveys 2007 and 2010, each with a nationally representative sample of adults aged 18 years and older (n = 16 588, and n = 16 295, respectively).

PARTICIPANTS

All recent active smokers (current smokers plus former smokers who quit smoking within the past 12 months) were used for the analyses (n = 3783 in 2007, and n = 2777 in 2010).

MEASUREMENTS

Quit attempt rate and annual cessation rate (defined as having succeeded in quitting for at least 3 months) among recent active smokers were compared between the pre-Act (2007) and post-Act (2010) periods.

FINDINGS

The quit attempt rate increased significantly from 39.4% in 2007 to 42.9% in 2010. The annual cessation rate increased significantly from 7.1 to 8.9%. A multivariate analysis, controlling for demographic characteristics, showed that the implementation of the 2009 Act was associated with an increase in the quit attempt rate [odds ratio (OR) = 1.14; 95% confidence interval (CI) = 1.03-1.25] and the annual cessation rate (OR = 1.28; 95% CI = 1.08-1.53).

CONCLUSIONS

The comprehensive tobacco control programme introduced in 2009 in Taiwan, which combined smoke-free legislation with a tobacco tax increase, graphic health warning labels and a total ban on tobacco advertisements, was associated with increases in quit attempt rate and annual cessation rate.

Promoting tobacco cessation and smoke-free workplaces through community outreach partnerships in Puerto Rico

BACKGROUND

Puerto Rico (PR) has a lower smoking prevalence than the United States (14.8% vs. 21.2%, respectively); nevertheless, the five leading causes of death are associated with smoking. There is a need to implement evidence-based tobacco control strategies in PR.

OBJECTIVES

The Outreach Pilot Program (OPP) was designed to engage communities, health professionals, and researchers in a network to advance health promotion activities and research to increase the use of the PR Quitline (PRQ) among smokers and promoting policies in support of smoke-free workplaces.

METHODS

Using community-based participatory research (CBPR) methods, the OPP mobilized a network of community and academic partners to implement smoking cessation activities including referrals to the PRQ, adoption of evidence-based smoking cessation programs, and promotion of smoke-free legislation.

RESULTS

Eighty organizations participated in the OPP. Collaborators implemented activities that supported the promotion of the PRQ and smoke-free workplaces policy and sponsored yearly trainings, including tobacco control conferences. From 2005 to 2008, physician referrals to the PRQ increased from 2.6% to 7.2%. The number of annual smokers receiving cessation services through the PRQ also increased from 703 to 1,086. The OPP shepherded a rigorous smoke-free law through participation in the development, promotion, and implementation of the smoke-free workplaces legislation as well as the creation of the PR Tobacco Control Strategic Plan, launched in 2006.

CONCLUSIONS

This project demonstrates the feasibility of developing a successful and sustainable community-based outreach program model that enlists the participation of academic researchers, community organizations, and health care providers as partners to promote tobacco control.

Hospital admissions for childhood asthma after smoke-free legislation in England

OBJECTIVE

To assess whether the implementation of English smoke-free legislation in July 2007 was associated with a reduction in hospital admissions for childhood asthma.

METHODS

Interrupted time series study using Hospital Episodes Statistics data from April 2002 to November 2010. Sample consisted of all children (aged ≤14 years) having an emergency hospital admission with a principle diagnosis of asthma.

RESULTS

Before the implementation of the legislation, the admission rate for childhood asthma was increasing by 2.2% per year (adjusted rate ratio 1.02; 95% confidence interval [CI]: 1.02-1.03). After implementation of the legislation, there was a significant immediate change in the admission rate of -8.9% (adjusted rate ratio 0.91; 95% CI: 0.89-0.93) and change in time trend of -3.4% per year (adjusted rate ratio 0.97; 95% CI: 0.96-0.98). This change was equivalent to 6802 fewer hospital admissions in the first 3 years after implementation. There were similar reductions in asthma admission rates among children from different age, gender, and socioeconomic status groups and among those residing in urban and rural locations.

CONCLUSIONS

These findings confirm those from a small number of previous studies suggesting that the well-documented population health benefits of comprehensive smoke-free legislation appear to extend to reducing hospital admissions for childhood asthma.

Smoking spaces and practices in pubs, bars and clubs: young adults and the English smokefree legislation

Young adulthood is an important but overlooked period in the development of smoking behaviour. We know little about the impact of smokefree policies on this group. In a secondary analysis of longitudinal, qualitative interview data we explore smoking practices in young adulthood, the role of smoking in the spaces of the night-time economy, and the impact of smokefree legislation. Participants carefully managed their smoking in different spaces in relation to the self they wished to present. This was shaped by the transitional nature of young adulthood. Smoking played a role in constructing time-out periods from the demands of everyday life in a similar way to alcohol use. The restrictions imposed by the smokefree legislation quickly became normal for most; however, the experience of smoking was influenced by the nature and quality of smoking spaces. The re-spatialisation of smoking necessitated by the smokefree legislation may reaffirm processes of social denormalisation and stigmatisation of smoking, whilst simultaneously allowing young adult smokers to produce, in some contexts, a positive, fun, sociable smoker identity.

Minnesota's smokefree policies: impact on cessation program participants

BACKGROUND

Smokefree policies are enacted to protect individuals from secondhand smoke; however, these laws may have broader cessation effects.

PURPOSE

This study investigated the relationship between Minnesota's local and statewide smokefree policies and quitting outcomes among cessation program enrollees.

METHODS

Data were collected from 2006 to 2008 from two groups of participants (n=1644 pre-statewide law; n=1273 post-statewide law) and analyzed in 2009. Website enrollees were surveyed by Internet or telephone 6 months post-enrollment. Others were surveyed by telephone 7 months post-enrollment.

RESULTS

Those who enrolled in a cessation program after the statewide smokefree law were more likely to quit (p<0.05, relative risk [RR]=1.15) and were predicted to achieve a 30-day abstinence rate 4.1 percentage points greater than that achieved by those who quit pre-statewide law (30.9% vs 26.8%, respectively). Participants who quit post-statewide law were less likely to relapse and were predicted to have a relapse rate 6.4 percentage points below those who quit pre-statewide law (p<0.05, RR=0.87). Each additional year residing in or adjacent to a county with a local smokefree ordinance in place, up until the time of the statewide law, reduced the likelihood of achieving abstinence post-statewide law (p<0.001, RR=0.92) and increased the likelihood of relapse and the predicted relapse rate (p<0.05, RR=1.05).

CONCLUSIONS

Abstinence and relapse rates for those enrolling in cessation programs appeared more favorable after the implementation of Minnesota's statewide smokefree law, suggesting that smokefree policies may have a small but beneficial impact on cessation outcomes. Previous exposure to local smokefree ordinances may lessen this effect.

Experience of smokers and recent quitters with smokefree regulations and quitting

BACKGROUND

Bans on smoking in public areas have increased as knowledge of secondhand smoke dangers has grown. Restrictions on smoking in public areas may lead to less smoking and increased quitting.

PURPOSE

This study examines the experiences of smokers and recent quitters with local smokefree regulations to better understand the possible mechanisms by which smokefree regulations affect individual tobacco users' patterns of tobacco consumption and quitting.

METHODS

Fifteen in-depth interviews and thirteen focus groups were conducted with tobacco users and recent quitters formerly enrolled in cessation programs provided by ClearWay Minnesota(SM). Data were collected 3 months after smokefree legislation was adopted in the Minneapolis/St. Paul metropolitan area in 2006, and were stratified by tobacco use status and strength of regulation. Essential themes were extracted using NVivo 8 software in 2011.

RESULTS

Study participants reported that smokefree legislation forced them to confront their addiction. They experienced apprehension, frustration, and panic anticipating smoking restrictions. This motivated some to attempt to quit, whereas others felt punished by and angry at government intrusion. Both current and former tobacco users felt smokefree regulations contributed to stigmatizing smokers. They also reported smokefree legislation reduced the temptation to smoke. The physical absence of cigarette smoke in bars and restaurants appeared to support quit attempts. The inconvenience of smoking outside was reported to have a similar effect.

CONCLUSIONS

Essential mechanisms by which bans influenced patterns of tobacco use and quitting include confronting addiction, temptation, inconvenience, and social norms. These findings highlight the success of tobacco control advocates in denormalizing tobacco use, and suggest that some tobacco users may be internalizing negative messages about tobacco.

The impact of media campaigns on smoking cessation activity: a structural vector autoregression analysis

AIMS

To evaluate the effect of tobacco control media campaigns and pharmaceutical company-funded advertising for nicotine replacement therapy (NRT) on smoking cessation activity.

DESIGN

Multiple time series analysis using structural vector autoregression, January 2002-May 2010.

SETTING

England and Wales.

DATA SOURCES

Tobacco control campaign data from the Central Office of Information; commercial NRT campaign data; data on calls to the National Health Service (NHS) stop smoking helpline from the Department of Health; point-of-sale data on over-the-counter (OTC) sales of NRT; and prescribing data from The Health Improvement Network (THIN), a database of UK primary care records.

MEASUREMENTS

Monthly calls to the NHS stop smoking helpline and monthly rates of OTC sales and prescribing of NRT.

FINDINGS

A 1% increase in tobacco control television ratings (TVRs), a standard measure of advertising exposure, was associated with a statistically significant 0.085% increase in calls in the same month (P = 0.007), and no statistically significant effect in subsequent months. Tobacco control TVRs were not associated with OTC NRT sales or prescribed NRT. NRT advertising TVRs had a significant effect on NRT sales which became non-significant in the seasonally adjusted model, and no significant effect on prescribing or calls.

CONCLUSIONS

Tobacco control campaigns appear to be more effective at triggering quitting behaviour than pharmaceutical company NRT campaigns. Any effect of such campaigns on quitting behaviour seems to be restricted to the month of the campaign, suggesting that such campaigns need to be sustained over time.

Young male daily smokers are nicotine dependent and experience several unsuccessful quit attempts

OBJECTIVE

Previous studies on smoking cessation have generally been conducted with adolescents or adults. Very little is known about the cessation attempts, their success, and/or use of pharmacological aids in young adult smokers who want to quit. The present study aimed to investigate quitting attempts in a group of both young male daily and occasional smokers.

DESIGN AND SUBJECTS

614 male smokers aged 18-26 years completed a standardized questionnaire about their smoking habits, quit attempts, and aids used in smoking cessation.

RESULTS

Nearly all daily smokers (95.3%, 95% CI 93.1-96.8) were nicotine addicted to some extend according to the standardized questionnaire, and the more addicted they were, the more often they had tried to quit (p = 0.025). Of the daily smokers, 55.6% (95% CI 51.3-59.9) had made quit attempts and 36.2% (95% CI 32.1-40.4) had used nicotine replacement therapy (NRT). In all, 34.1% (95% CI 25.2-44.3) of all occasional smokers reported having intended to quit but they had seldom made more than one attempt whereas 20.2% of daily smokers had made at least three attempts. The stronger the nicotine dependence in daily smokers was, the more likely the subject was to have attempted to use NRT (quite dependent 23.8% vs. totally dependent 48.9%) (p < 0.001).

CONCLUSIONS

A high proportion of young male daily smokers were nicotine addicted. Young smokers make many unsuccessful attempts to stop smoking using nicotine replacement therapy (NRT) on their own. A better availability of professional cessation services directed to young adult smokers is needed.

Impact of the 2005 smoke-free policy in Italy on prevalence, cessation and intensity of smoking in the overall population and by educational group

AIMS

To estimate the immediate as well as the longer-term impact of the 2005 smoke-free law on smoking prevalence, cessation and intensity both in the overall population and separately by educational level.

DESIGN

Interrupted time-series analyses of 11 cross-sectional nationally representative surveys.

SETTING

Italy, 1999-2010.

PARTICIPANTS

Adults aged 20-64 years.

MEASUREMENTS

For each year we computed the prevalence of current smoking, the quit ratio and the mean number of cigarettes smoked per day. All measures were standardized by age. Segmented linear regression analyses were performed for each smoking variable separately by sex.

FINDINGS

Among males, smoking prevalence decreased by 2.6% (P = 0.002) and smoking cessation increased by 3.3% (P = 0.006) shortly after the ban, but both measures tended to return to pre-ban values in the following years. This occurred among both highly and low-educated males. Among low-educated females, the ban was followed by a 1.6% decrease (P = 0.120) in smoking prevalence and a 4.5% increase in quit ratios (P < 0.001). However, these favourable trends reversed over the following years. Among highly educated females, trends in smoking prevalence and cessation were not altered by the ban. Among both males and females, long-term trends in the daily number of cigarettes, which were already declining well before the implementation of the policy, changed to a minor extent.

CONCLUSION

The impact of the Italian smoke-free policy on smoking and inequalities in smoking was short-term. Smoke-free policies may not achieve the secondary effect of reducing smoking prevalence in the long term, and they may have limited effects on inequalities in smoking.