Journal of Smoking Cessation最新文献

Introduction: We have undertaken four online surveys of Stop Smoking Service (SSS) practitioners in England, between 2011 and 2016, in order to enhance our understanding of e-cigarettes: a fast moving new phenomenon. It is important to understand whether e-cigarettes can ameliorate or exacerbate health inequalities given that smoking is one of the most serious causes of excessive mortality and morbidity among disadvantaged groups globally. Aims: To update findings of previous surveys and examine socioeconomic status differences in e-cigarette use and efficacy. Methods: Analysis was undertaken of electronic surveys, particularly, the most recent 2016 survey (n = 514) and 2015/16 SSS client routine monitoring data. Results: SSS practitioners were becoming more positive about e-cigarettes: 42% agreed that e-cigarettes were a good thing compared with 15% in 2011. Reported use of e-cigarettes among SSS clients was low (about 3%) despite higher quit rates (63% of clients reported being quit at four week follow-up, compared with 51% overall). Where socioeconomic differences in e-cigarettes' efficacy for quitting were identified, affluent and working smokers were advantaged. Conclusions: Low use of e-cigarettes by clients and practitioner opinions suggest that further education of SSS staff is needed if they are to adopt the current service recommendations about e-cigarettes.

Objectives: Examine correlates of initiation of e-cigarette use among smokers and determine the impact of e-cigarette use on cessation among smokers in a national U.S. consumer panel.

Methods: This study used the Nielsen Homescan Panel data from 2011 to 2013, augmented with state-specific measures of tobacco control activities, to examine 1) correlates of single and repeat e-cigarette purchasing among panelists currently purchasing cigarettes; and 2) correlates of "cessation". Participating panelists scanned all retail purchases, and Nielsen recorded over 3 million product types. The key explanatory variable for cessation was e-cigarette purchase. Parallel analysis was conducted for conventional nicotine replacement therapy (NRT) purchase. Cessation was defined as no purchases for at least 6 months and no subsequent purchases until the end of 2013. Analysis was conducted in 2015. E-cigarettes tracked by Nielsen during this period were cig-a-like products resembling tobacco cigarettes in appearance.

Results: Single e-cigarette purchase was associated with whether the panelist resided in a single person male household and bought a higher volume of cigarettes. Repeat purchase was associated with higher state cigarette taxes, less stringent state public smoke-free policies, lower cigarette prices, and more frequent cigarette purchasing. Cessation was associated with repeat e-cigarette purchasing, repeat NRT purchasing, younger age, lower monthly cigarette volume, less frequent purchasing of cigarettes, less recent cigarette purchase at baseline, and single e-cigarette purchase before baseline.

Conclusions: Both individual and policy variables were associated with e-cigarette use. Repeat e-cigarette purchase was associated with cigarette purchase discontinuation, as were various smoking intensity measures.

Background: Many people with cancer continue smoking despite evidence that it negatively effects cancer treatment, worsens chemotherapy toxicity, and increases risk for a second cancer.

Aims: We examined tobacco treatment services offered to cancer patients at hospitals providing oncology services, including National Cancer Institute (NCI)-Designated Cancer Centers (NDCCs).

Methods: We examined survey data of 6,400 U.S. hospitals from 2008 to 2015 to determine the manner in which tobacco treatment/cessation program services were provided among NDCCs and non-NDCC hospitals providing oncology services (HPOs).

Results: From 2008 to 2015, 784 responses from NDCCs and 18,281 responses from HPOs were received. NDCCs (86%) reported significantly higher tobacco treatment/cessation programs owned by the hospital compared to HPOs (68%) (p < 0.001). Among NDCCs, there was a significant increasing trend of tobacco treatment/cessation programs reported owned by the hospital, the health system, or other contractual mechanism from 2008 to 2015 (p = 0.03).

Conclusions: More than 80% of oncology providing hospitals report providing tobacco cessation programs, with higher percentages reported in NDCCs. As hospitals implement smoking cessation programs, partnerships between hospitals and cancer coalitions could help bring tobacco cessation activities to communities they both serve, and link discharged patients to these cessation resources so they can continue quit attempts that they initialised while hospitalised.

Introduction: Each year about two thirds of U.S. smokers make a quit attempt. Yet, less than 5% remain abstinent three months post-quit date. One factor that may affect abstinence is negative feelings about the self-associated with being a smoker (disequilibrium), particularly if smoking is important to the sense of self and one is trying to quit.

Aims: We evaluated a multivariate structural equation model proposing that smoking's subjective importance to a smoker would influence carbon monoxide verified smoking abstinence at 24 weeks (post-quit date). Further, we assessed whether the relation would be moderated by the smoker's experience of disequilibrium.

Methods: Participants were 440 regular smokers taking part in a clinical trial assessing the effectiveness of different durations of nicotine replacement therapy use. Participants completed the subjective importance of smoking survey at baseline and were assessed for carbon monoxide verified seven-day point prevalence abstinence at 24 weeks.

Results: Using exploratory structural equation modelling, the subjective importance of smoking was associated with point prevalence abstinence at 24 weeks, but only for smokers with high disequilibrium.

Conclusions: The results of this study suggest that experiencing negative feelings about being a smoker could motivate smokers to remain abstinent, despite the importance of smoking to the smoker's sense of self.

This study examined the role of social support and behavioral interventions used during the last unsuccessful quit attempt for smokers' intentions to quit smoking within the next 6 months, and identified smokers' attributes associated with use of social support and behavioral interventions. The analytic sample included 7,195 adult daily smokers who responded to the 2010-2011 Tobacco Use Supplement to the Current Population Survey, conducted in the US, and indicated having a serious quit attempt in the past 12 months. Smokers who relied on social support from friends and family had higher odds of intending to quit than those who did not (OR= 1.39, 95% CI= 1.22:1.58), and smokers who used interventions had higher odds of intending to quit than those who did not (OR= 1.36, 95% CI= 1.07:1.74). These associations were similar for both sexes, all age groups, and nicotine dependence levels. Both, relying on social support and use of behavioral interventions were more common among smokers who were female, higher educated, residing in the Western US region, and those who used pharmacological aids for smoking cessation. Social support and behavioral interventions are associated with higher intentions to quit among attempters who relapsed and thus, may aid future smoking cessation.

Background: Lung cancer screening and tobacco treatment for patients at high-risk for lung cancer may greatly reduce mortality from smoking, and there is an urgent need to improve smoking cessation therapies for this population.

Aims: The purpose of this study is to test the efficacy of two separate, sequential interventions to promote tobacco cessation/reduction compared to standard care in smokers considered high-risk for lung cancer.

Methods: The study will recruit 276 current smokers attending a lung cancer screening clinic or considered high-risk for lung cancer based on age and smoking history across two sites. Patients first will be randomized to either standard tobacco treatment (8 weeks of nicotine patch and five individual counselling sessions) or standard tobacco treatment plus personalized gain-framed messaging. At the 8-week visit, all patients will be re-randomized to receive biomarker feedback or no biomarker feedback. Repeated assessments during treatment will be used to evaluate changes in novel biomarkers: skin carotenoids, lung function, and plasma bilirubin that will be used for biomarker feedback. We hypothesize that personalized gain-framed messages and receiving biomarker feedback related to tobacco cessation/reduction will improve quit rates and prevent relapse compared to standard care. Primary outcomes include 7-day point-prevalence abstinence verified with expired carbon monoxide at 8 weeks and mean cigarettes per day in the past week at 6 months.

Conclusions: Study findings will inform the development of novel interventions for patients at risk for lung cancer to improve smoking cessation rates.