Shu-Hong Zhu

Smoking cessation with and without assistance: A population-based analysis

OBJECTIVE To examine usage rates of smoking-cessation assistance and to compare the success rate of those who used assistance with the success rate of those who did not. METHODS The data come from the 1996 California Tobacco Survey, a random sample of 4480 individuals (18 years or older) who tried to quit smoking in the 12 months before the survey. We calculated population estimates for demographics, smoking histories, rate of using assistance, and abstinence rates. RESULTS One fifth (19.9%) of those who attempted to quit smoking used one or more forms of assistance: self-help, counseling, and/or nicotine replacement therapy (NRT). Heavy smokers were more likely to use assistance than were light smokers. Women were more likely to use assistance than were men, and usage increased with age. Whites were more likely to use NRT than were other ethnic groups. Overall, those who used assistance had a higher success rate than those who did not; the 12-month abstinence rates were 15.2% and 7.0%, respectively. CONCLUSIONS Use of assistance for smoking cessation has increased over recent years, from 7.9% in 1986 to 19.9% in 1996. The use of assistance is associated with a greater success rate. Anti-tobacco campaigns in California and increased availability of multiple forms of assistance probably facilitated the use of assistance and successful quitting for those using assistance.

Four hundred and sixty brands of e-cigarettes and counting: implications for product regulation

Introduction E-cigarettes are largely unregulated and internet sales are substantial. This study examines how the online market for e-cigarettes has changed over time: in product design and in marketing messages appearing on websites. Methods Comprehensive internet searches of English-language websites from May–August 2012 and December 2013–January 2014 identified brands, models, flavours, nicotine strengths, ingredients and product claims. Brands were divided into older and newer groups (by the two searches) for comparison. Results By January 2014 there were 466 brands (each with its own website) and 7764 unique flavours. In the 17 months between the searches, there was a net increase of 10.5 brands and 242 new flavours per month. Older brands were more likely than newer brands to offer cigalikes (86.9% vs 52.1%, p<0.01), and newer brands more likely to offer the more versatile eGos and mods (75.3% vs 57.8%, p<0.01). Older brands were significantly more likely to claim that they were healthier and cheaper than cigarettes, were good substitutes where smoking was banned and were effective smoking cessation aids. Newer brands offered more flavours per brand (49 vs 32, p<0.01) and were less likely to compare themselves with conventional cigarettes. Conclusions The number of e-cigarette brands is large and has been increasing. Older brands tend to highlight their advantages over conventional cigarettes while newer brands emphasise consumer choice in multiple flavours and product versatility. These results can serve as a benchmark for future research on the impact of upcoming regulations on product design and advertising messages of e-cigarettes.

Telephone Counseling for Smoking Cessation: Effects of Single-Session and Multiple-Session Interventions

Smokers (N = 3,030) were randomized to receive 1 of 3 interventions: (a) a self-help quit kit, (b) a quit kit plus 1 telephone counseling session, or (c) a quit kit plus up to 6 telephone counseling sessions, scheduled according to relapse probability. Both counseling groups achieved significantly higher abstinence rates than the self-help group. The rates for having quit for at least 12 months by intention to treat were 5.4% for self-help, 7.5% for single counseling, and 9.9% for multiple counseling. The 12-month continuous abstinence rates for those who made a quit attempt were 14.7% for self-help, 19.8% for single counseling, and 26.7% for multiple counseling. A dose-response relation was observed, as multiple sessions produced significantly higher abstinence rates than a single session. The first week after quitting seems to be the critical period for intervention.

Tobacco cessation quitlines in North America: a descriptive study

Background: Quitlines have become an integral part of tobacco control efforts in the United States and Canada. The demonstrated efficacy and the convenience of telephone based counselling have led to the fast adoption of quitlines, to the point of near universal access in North America. However, information on how these quitlines operate in actual practice is not often readily available. Objectives: This study describes quitline practice in North America and examines commonalities and differences across quitlines. It will serve as a source of reference for practitioners and researchers, with the aim of furthering service quality and promoting continued innovation. Design: A self administered questionnaire survey of large, publicly funded quitlines in the United States and Canada. A total of 52 US quitlines and 10 Canadian quitlines participated. Descriptive statistics are provided regarding quitline operational structures, clinical services, quality assurance procedures, funding sources and utilisation rates. Results: Clinical services for the 62 state/provincial quitlines are supplied by a total of 26 service providers. Nine providers operate multiple quitlines, creating greater consistency in operation than would otherwise be expected. Most quitlines offer services over extended hours (mean 96 hours/week) and have multiple language capabilities. Most (98%) use proactive multisession counselling—a key feature of protocols tested in previous experimental trials. Almost all quitlines have extensive training programmes (>60 hours) for counselling staff, and over 70% conduct regular evaluation of outcomes. About half of quitlines use the internet to provide cessation information. A little over a third of US quitlines distribute free cessation medications to eligible callers. The average utilisation rate of the US state quitlines in the 2004–5 fiscal year was about 1.0% across states, with a strong correlation between the funding level of the quitlines and the smokers’ utilisation of them (r = 0.74, p<0.001). Conclusions: Quitlines in North America display core commonalities: they have adopted the principles of multisession proactive counselling and they conduct regular outcome evaluation. Yet variations, tested and untested, exist. Standardised reporting procedures would be of benefit to the field. Shared discussion of the rationale behind variations can inform future decision making for all North American quitlines.

The Use and Perception of Electronic Cigarettes and Snus among the U.S. Population

Background E-cigarettes have generated controversy in the tobacco control field similar to that of Swedish snus, which came to the U.S. market six years earlier. Some argue that e-cigarettes have great potential to help smokers quit regular cigarettes while others contend they should be banned for lack of safety and efficacy data. This study examined population data from the U.S. Methods A U.S. population survey with a national probability sample (N=10,041) was conducted (February 24 to March 8, 2012, before any major paid advertisement of e-cigarettes appeared on television). Survey respondents were asked if they had heard about e-cigarettes, where they had heard about them, whether they had used e-cigarettes or snus, how often they used them, and why they used them. Responses were weighted to represent the entire U.S. population. Findings A high proportion, 75.4%, reported having heard about e-cigarettes. Television ranked as the number one source of information, followed by “in-person conversation” and “Internet.” About 8.1% had tried e-cigarettes, and 1.4% were current users. These rates were twice those of snus (4.3% and 0.8%, respectively). Among current smokers, 32.2% had tried e-cigarettes, and 6.3% were current users. Over 80% of current e-cigarette users were non-daily users. Women were significantly more likely to have tried e-cigarettes than men. Those who had tried e-cigarettes were more likely than those who tried snus to report their products being safer than regular cigarettes (49.9% vs. 10.8%). Almost half (49.5%) of current smokers were susceptible to using e-cigarettes in the future. Conclusions That e-cigarettes have surpassed snus in adoption rate, even before any promotion by major tobacco companies, suggests that the former have tapped into smokers’ intuitive preference for potentially harm-reducing products, probably due to the product design. E-cigarette use is likely to increase in the next few years.

Predictors of smoking cessation in U.S. adolescents

OBJECTIVE To identify factors that predict quitting among adolescent smokers. METHODS Adolescent smokers aged 12-19 years (N = 633) from the national Teenage Attitudes and Practices Survey I (1989), were followed up in the Teenage Attitudes and Practices Survey II (1993). Multiple logistic regression was applied to identify the predictors of quitting. RESULTS A total of 15.6% of adolescent smokers had quit smoking at the follow-up survey four years later. There was no significant difference in the quit rate by age, gender, or ethnicity. Five baseline factors were identified in a multivariate analysis as significant predictors of quitting: frequency of smoking, length of past quit attempts, self-estimation of likelihood of continuing smoking, mothers smoking status, and depressive symptoms. The more risk factors the adolescents had, the less likely they would succeed in quitting. CONCLUSIONS Quitting smoking by adolescents is influenced by multiple biological, behavioral, and psychosocial variables. Identifying these variables can help tailor cessation programs to more effectively help adolescents quit smoking.

Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products

Background Social media platforms such as Twitter are rapidly becoming key resources for public health surveillance applications, yet little is known about Twitter users’ levels of informedness and sentiment toward tobacco, especially with regard to the emerging tobacco control challenges posed by hookah and electronic cigarettes. Objective To develop a content and sentiment analysis of tobacco-related Twitter posts and build machine learning classifiers to detect tobacco-relevant posts and sentiment towards tobacco, with a particular focus on new and emerging products like hookah and electronic cigarettes. Methods We collected 7362 tobacco-related Twitter posts at 15-day intervals from December 2011 to July 2012. Each tweet was manually classified using a triaxial scheme, capturing genre, theme, and sentiment. Using the collected data, machine-learning classifiers were trained to detect tobacco-related vs irrelevant tweets as well as positive vs negative sentiment, using Naïve Bayes, k-nearest neighbors, and Support Vector Machine (SVM) algorithms. Finally, phi contingency coefficients were computed between each of the categories to discover emergent patterns. Results The most prevalent genres were first- and second-hand experience and opinion, and the most frequent themes were hookah, cessation, and pleasure. Sentiment toward tobacco was overall more positive (1939/4215, 46% of tweets) than negative (1349/4215, 32%) or neutral among tweets mentioning it, even excluding the 9% of tweets categorized as marketing. Three separate metrics converged to support an emergent distinction between, on one hand, hookah and electronic cigarettes corresponding to positive sentiment, and on the other hand, traditional tobacco products and more general references corresponding to negative sentiment. These metrics included correlations between categories in the annotation scheme (phihookah-positive=0.39; phie-cigs-positive=0.19); correlations between search keywords and sentiment (χ2 4=414.50, P<.001, Cramer’s V=0.36), and the most discriminating unigram features for positive and negative sentiment ranked by log odds ratio in the machine learning component of the study. In the automated classification tasks, SVMs using a relatively small number of unigram features (500) achieved best performance in discriminating tobacco-related from unrelated tweets (F score=0.85). Conclusions Novel insights available through Twitter for tobacco surveillance are attested through the high prevalence of positive sentiment. This positive sentiment is correlated in complex ways with social image, personal experience, and recently popular products such as hookah and electronic cigarettes. Several apparent perceptual disconnects between these products and their health effects suggest opportunities for tobacco control education. Finally, machine classification of tobacco-related posts shows a promising edge over strictly keyword-based approaches, yielding an improved signal-to-noise ratio in Twitter data and paving the way for automated tobacco surveillance applications.

Depression and smoking during pregnancy.

This study examined the relationship between depression and smoking during a womans pregnancy. It surveyed 487 pregnant women (aged 17-44) during routine ultrasound examinations at the 18th week of gestation. A multiple regression analysis showed that depression is a significant predictor of smoking during pregnancy, after controlling for other factors such as the desirability of the pregnancy and the presence of other smokers in the household. Both current smokers and former smokers were significantly more likely to report depressive symptoms (using Centers for Epidemiological Studies Depression Scale, CES-D) than never smokers; the rates are 12.9%, 25.1%, and 37.5% for never, former, and current smokers, respectively. Among current smokers, the depressed were significantly less confident about quitting than the nondepressed, although both felt the need to quit. These results suggest that interventions to help pregnant women quit smoking may need to take a more comprehensive approach to be effective.

The California Tobacco Control Program’s effect on adult smokers: (1) Smoking cessation

Objectives: To estimate national population trends in long-term smoking cessation by age group and to compare cessation rates in California (CA) with those of two comparison groups of states. Setting: Retrospective smoking history of a population sample from the US: from CA, with a comprehensive tobacco-control programme since 1989 with the goal of denormalising tobacco use; from New York and New Jersey (NY & NJ), with similar high cigarette prices but no comprehensive programme; and from the tobacco-growing states (TGS), with low cigarette prices, no tobacco-control programme and social norms relatively supportive of tobacco use. Participants: Respondents to the Current Population Survey–Tobacco Use Supplements (1992–2002; n = 57 918 non-Hispanic white ever-smokers). Main outcome measures: The proportion of recent ever-smokers attaining long-term abstinence (quit ⩾1 year) and the successful-quit ratio (the proportion of all ever-smokers abstinent ⩾1 year). Results: Nationally, long-term cessation rates increased by 25% from the 1980s to the 1990s, averaging 3.4% per year in the 1990s. Cessation increased for all age groups, and by >40% (p<0.001) among smokers aged 20–34 years. For smokers aged <50 years, higher cigarette prices were associated with higher quitting rates. For smokers aged <35 years, quitting rates in CA were higher than in either comparison group (p<0.05). Half of the ever-smokers had quit smoking by age 44 years in CA, 47 years in NY & NJ, and by age 54 years in TGS. Conclusion: Successful smoking cessation increased by 25% during the1990s in the US. Comprehensive tobacco-control programmes were associated with greater cessation success than were with high cigarette prices alone, although both effects were limited to younger adults.

Tobacco quitlines: looking back and looking ahead

Telephone based tobacco cessation services, or quitlines, have become central components of many comprehensive tobacco control programmes. This paper provides an overview of their history, noting milestones in the growth of quitlines. Key factors in their worldwide adoption were solid evidence from clinical trials with large community samples and strong backing from public health officials. Quitlines are now available throughout most of North America, Europe, Australia and in many other locations around the world. The paper also offers several recommendations for future directions in quitline practice and research. Benchmarks should be established for key areas of quitline implementation, such as accessibility, quality and cost efficiency. Advances in pharmacotherapy, telephony and web based applications should be investigated for opportunities to expand service offerings. Research and development are needed to determine how best to serve a diverse clientele in the most cost effective manner. Funding should be expanded and diversified to enable quitlines to serve much larger numbers of users. Healthcare providers should be targeted for quitline promotion, to engage them in a broad effort to increase the number of patients receiving cessation messages from clinicians. The goal of quitline promotion should expand to include an increase in unaided quit attempts in the population. Early research findings were quickly adopted in quitline practice, and future research to answer questions that have arisen through the implementation of quitlines will probably also find quick adoption.