Recent Quitters Research Articles

Financial benefit of a smoking cessation program prior to elective colorectal surgery

BackgroundCigarette smoking increases the risk of postoperative complications nearly 2-fold. Preoperative smoking cessation programs may reduce complications as well as overall postoperative costs. We aim to create an economic evaluation framework to estimate the potential value of preoperative smoking cessation programs for patients undergoing elective colorectal surgery. MethodsA decision-analytic model from the payer perspective was developed to integrate the costs and incidence of 90-day postoperative complications and readmissions for a cohort of patients undergoing elective colorectal surgery after a smoking cessation program versus usual care. Complication, readmission, and cost data were derived from a cohort of 534 current smokers and recent quitters undergoing elective colorectal resections in Washington State's Surgical Care and Outcomes Assessment Program linked to Washington State's Comprehensive Hospital Abstract Reporting System. Smoking cessation program efficacy was obtained from the literature. Sensitivity analyses were performed to account for uncertainty. ResultsFor a cohort of patients, the base case estimates imply that the total direct medical costs for patients who underwent a preoperative smoking cessation program were on average $304 (95% CI: $40-$571) lower per patient than those under usual care during the first 90 days after surgery. The model was most sensitive to the odds of recent quitters developing complications or requiring readmission, and smoking program efficacy. ConclusionsA preoperative smoking cessation program is predicted to be cost-saving over the global postoperative period if the cost of the intervention is below $304 per patient. This framework allows the value of smoking cessation programs of variable cost and effectiveness to be determined.

The link between smoking status and co-morbid conditions in individuals with multiple sclerosis (MS)

BackgroundIn individuals with multiple sclerosis (MS) comorbidities and quality of life (QOL) may be affected by tobacco use. ObjectiveTo evaluate the associations between smoking status, in particular quit attempts, and comorbidities among individuals with MS. MethodsWe used a web-based survey to obtain cross-sectional data from 335 individuals with MS who were members of the Gateway Chapter of the National MS Society email registry. We then examined the associations between smoking variables (current use, frequency, and quit attempts) and comorbidities. ResultsThe prevalence of participants who ever smoked was 50%, which is greater than that reported for the general population; 20% were current smokers. Migraine headaches were associated with current use and everyday smoking, and those with recent failed quit attempts had a higher prevalence of depression than those who were current smokers but who did not attempt to quit or had successfully quit in the past year. ConclusionGiven the associations between smoking and comorbidities in individuals with MS, health care providers should both (1) assess smoking history and quit attempts, and (2) encourage individuals with MS who smoke to become non-smokers and refer for treatment, as indicated. In order to increase the chances that individuals will be successful in becoming non-smokers, clinicians would do well to also assess and treat depression in their patients who smoke and are also depressed.

A comparison of the characteristics of iOS and Android users of a smoking cessation app

iOS and Android smartphone users may differ in ways that affect their use and likelihood of success when using a smoking cessation application (app). If so, it may be necessary to take the device type (iOS and Android) into account when designing smoking cessation apps and in studies evaluating app effectiveness. How do socio-demographic and smoking characteristics, potentially relevant to engagement and cessation outcomes, of the SF28 app users differ between those using the iOS version and those using the Android version? Data were collected between October 2013 and April 2015. The variables measured were age, gender, social grade, time since the most recent quit attempt, choice of medication use (nicotine replacement therapy or varenicline), weekly expenditure on cigarettes, cigarettes smoked per day, reason for using the app and quit date set. The alpha was set to p < 0.006 to adjust for multiple comparisons. A total of 1368 users were included in the analysis. iOS and Android device users were similar in terms of age, social grade, weekly expenditure on cigarettes and cigarettes smoked per day. Compared with Android users, iOS users were more likely to have downloaded the app for a serious quit attempt (74.3 versus 69.6%, p = 0.001), made a quit attempt within the last 12 months (59.6 versus 45.9%, p < 0.001) and set their quit date on the day of registration (61 versus 46.2%, p < 0.001). They were less likely to have used stop-smoking medication to support their quit attempt (31.5 versus 48.6%, p < 0.001). Differences between smokers using the iOS version of smoking cessation apps and those using the Android version may influence quit success.

Smoking at the time of diagnosis and mortality in cancer patients: What benefit does the quitter gain?

Few studies have examined the association between smoking behavior (especially quitters) at the time of diagnosis and mortality among cancer patients. Our objective was to examine the benefits of quitting on all-cause mortality among cancer patients. 30,658 eligible cancer patients diagnosed between 1985 and 2009, identified by a hospital-based cancer registry in Japan, were followed up for up to 10 years. We evaluated smoking behavior at cancer diagnosis (especially recent quitters vs. current smokers) in association with all-cause mortality using Cox-proportional hazards models and covariates-adjusted survival curves. Risk of death was estimated to be reduced by 11% in recent quitters compared with current smokers. According to adjusted survival curves, median survival time was 8.25 years for recent quitters versus 7.18 years for current smokers, indicating an absolute difference of 1.07 year for a median survivor. Similarly, never and former smokers had 18% and 16% lower risk of death with 1.90 years and 1.77 years gained, respectively, compared with current smokers. In addition to former and never smokers, recent quitters showed consistently higher survival rates than current smokers during the 10-year calendar period after diagnosis among cancer patients. Because recent quitters may be similar to patients who stop smoking shortly after cancer diagnosis in terms of smoking duration, the latter may be able to decrease their risk of death, suggesting that smoking cessation could be part of cancer care.

Quit attempts and smoking cessation in Italian adults (25-64 years): factors associated with attempts and successes.

Over the past 50 years there was a substantial decrease in the prevalence of smoking in Italy. The objective of this work is to describe attempts to quit and cessation success in Italian smokers. A surveillance on health-related behaviors (PASSI) was conducted in 2007-13 on a sample of 203 610 Italian adults 25-64 years of age. An analysis of smokers' characteristics and behaviors was performed, focusing on attempts to quit and quit success. Data from national surveys (ISTAT) from 1983 to 2013 (Italian adults, 25-64 years of age, 1983: 46 634; 1987: 40 915; 1990: 36 622; 2000: 77 531; 2005: 71 032; 2013: 64 205) were used to explore if a cessation trend in Italy exists. Smokers who quit in the previous year and were still abstinent when interviewed increased from 1990 to 2013. In the years 2011-13, 38% of people who had smoked in the last 12 months reported at least a quit attempt during the same period and 7% were still abstinent when interviewed. An association of successful recent quit attempts with higher educational level, absence of economic difficulties and younger age was found. In the years 2007-13, the great majority tried to stop unaided. Having received assistance from a cessation program did not increase the probability of enduring abstinence. In Italy interventions to drive more smokers to quit should be focused in particular on disadvantaged groups. Initiatives have to be studied not only to incentive more smokers to try to quit, but also to maintain abstinence over time.

Online Social Support for the Prevention of Smoking Relapse: A Content Analysis of the WhatsApp and Facebook Social Groups.

Online social groups have been increasingly used for smoking cessation intervention. This study aimed to explore the social support components of the online discussion through WhatsApp and Facebook, how these components addressed the need of relapse prevention, and how the participants evaluated this intervention. We coded and analyzed the posts (N = 467) by the 82 recent quitters in WhatsApp and Facebook social groups, who were recruited from the eight smoking cessation clinics in Hong Kong to participate in a pragmatic randomized trial of relapse prevention. Participants' postintervention feedback was collected from the 13 qualitative interviews after the intervention. The WhatsApp social groups had more participants' posts than the Facebook counterparts. The participants' posts in the online social groups could be classified as sharing views and experiences (55.5%), encouragement (28.7%), and knowledge and information (15.8%). About half of the participants' posts (52.9%) addressed the themes listed in the U.S. Clinical Practice Guideline for preventing smoking relapse. The participants perceived the posts as useful reminders for smoking cessation, but avoidance of reporting relapse, inactive discussions, and uninteresting content were barriers to the success of the intervention. Online social groups provided a useful platform for the delivery of cessation support and encouragement of reporting abstinence, which support relapse prevention. The effectiveness of such intervention can be improved by encouraging more self-report of relapse, active discussions, sharing of interesting content, and using an appropriate discussion platform. Quitters who participate in the online social groups can benefit from peer support and information sharing, and hence prevent smoking relapse.

Use of aids for smoking cessation and alcohol reduction: A population survey of adults in England.

BackgroundIt is important for policy planning to chart the methods smokers and high-risk drinkers use to help them change their behaviour. This study assessed prevalence of use, and characteristics of users, of support for smoking cessation and alcohol reduction in England.MethodsData were used from the Smoking and Alcohol Toolkit Studies, which involve monthly face-to-face computer-assisted interviews of adults aged 16+ in England. We included data collected between June 2014 and July 2015 on 1600 smokers who had made at least one quit attempt and 911 high-risk drinkers (defined as scores >8+ on the full AUDIT or 5+ on questions 1–3 of the AUDIT-C) who had made an attempt to cut down in the past 12 months. Participants provided information on their socio-demographic characteristics and use of aids during their most recent quit attempt including pharmacotherapy, face-to-face counselling, telephone support, self-help materials (digital and printed), and complementary medicine.ResultsA total of 60.3% of smokers used aids in the past year, compared with just 14.9% of high-risk drinkers. Use of pharmacotherapy was high among smokers and very low among drinkers (56.0%versus1.2%). Use of other aids was low for both behaviours: face-to-face counselling (2.6%versus4.8%), self-help materials (1.4%versus4.1%) and complementary medicine (1.0%versus0.5%). Use of aids was more common among smokers aged 25–54 compared with 16–24 year olds (25–34,ORadj1.49,p = 0.012; 35–44,ORadj1.93,p < 0.001; 35–44,ORadj1.93,p < 0.001; 45–54,ORadj1.66,p = 0.008), with cigarette consumption >10 relative to <1 (10–20,ORadj2.47,p = 0.011; >20,ORadj4.23,p = 0.001), and less common among ethnic minorities (ORadj0.69,p = 0.026). For alcohol reduction, use of aids was higher among ethnic minority groups (ORadj2.41;p = 0.015), and those of social-grade D/E relative to AB (ORadj2.29,p = 0.012&ORadj3.13,p < 0.001).ConclusionIn England, the use of pharmacotherapy is prevalent for smoking cessation but not alcohol reduction. Other aids are used at a low rate, with face-to-face counselling being more common for alcohol reduction than smoking cessation.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-016-3862-7) contains supplementary material, which is available to authorized users.

E-cigarette use 1 year later in a population-based prospective cohort

BackgroundPopulation prevalence estimates of electronic nicotine delivery system (ENDS) use range considerably based on the operational definition of ‘use’. Recently, we investigated the utility of ‘use frequency’ for restricting prevalence...

Tobacco Cessation Treatment Pathways for Patients With Cancer: 10 Years in the Making.

Tobacco use is the most common cause of preventable morbidity and mortality in the United States; it accounts for one-third of all cancer deaths and is thought to account for half of preventable cancer deaths. This article describes the Tobacco Treatment Program at a major academic cancer center. Patients and employees may access these services in a number of ways. All current smokers and recent quitters are proactively contacted and invited to participate. Services provided are tailored to the motivational level of individual patients and their immediate medical needs. The treatment pathways we present are based on our experience from the last 10 years in treating more than 5,000 unique patients with around 60,000 patient visits. These pathways include behavioral counseling and pharmacotherapy, including first-line, second-line, and off-label medication use. This article describes the program with the goal of providing guidance and ideas to others who are developing treatment programs and providing treatment to tobacco users.

Unassisted Quitting and Smoking Cessation Methods Used in the United States: Analyses of 2010-2011 Tobacco Use Supplement to the Current Population Survey Data.

The study estimated the prevalence of unassisted quitting (ie, quitting without pharmacological aids or other interventions) among former smokers and identified the most common smoking cessation methods used by U.S. adult smokers who quit smoking between 2007 and 2011. Among long-term quitters, smoking-related behaviors and factors associated with using pharmacological methods and quitting unassisted were examined. The analytic sample consisted solely of former smokers, including 3,583 "long-term quitters" (those who quit 1 to 3 years prior to the survey) and 2,205 "recent quitters" (those who quit within a year prior to the survey), who responded to the 2010-2011 Tobacco Use Supplement to the Current Population Survey. About 72% of former smokers quit unassisted, 26% used at least one pharmacological method, and 7% used at least one nonpharmacological method. The most common pharmacological methods were the nicotine patch (12%), Chantix/Varenicline (11%), and a nicotine gum/lozenge (8%). For long-term quitters, cutting back on cigarettes gradually and relying on social support were more commonly associated with pharmacological methods. Among long-term quitters, younger adults (18 to 44 years old), Non-Hispanic Blacks, Hispanics, those who were less nicotine dependent prior to quitting and those who did not visit a doctor in the past 12 months before quitting had higher odds of reporting unassisted quitting than quitting with pharmacological methods. Unassisted quitting remains the predominant means of recent and long-term smoking cessation in the United States. Attempters may try different ways of quitting during the same quit attempt. Unassisted quitting remains a much more common method for recent and long-term smoking cessation than use of pharmacological or nonpharmacological methods. Smokers may try different ways of quitting during the same quit attempt. Thus, population-based studies that investigate the use of particular methods while ignoring other ways of quitting may overestimate the benefits of certain methods for smoking cessation.

Impact on Smoking Behavior of the New Zealand Annual Increase in Tobacco Tax: Data for the Fifth and Sixth Year of Increases.

New Zealand has implemented a series of seven annual increases in tobacco tax since 2010. All tax increases, except for the first in the series, were preannounced. It is unusual for governments to introduce small, persistent, and predictable increases in tobacco tax, and little is known about the impact of such a strategy. This paper evaluates the impact of the fifth and sixth annual increases. Smokers' behaviors were self-reported during the 3-month period before, and the 3-month period after, the two annual increases. Responses to the two increases were analyzed separately, and generalized estimating equations models were used to control for sociodemographic variables, recent quit attempts, and the research design. Findings were consistent across years. The proportion of participants who made a smoking-related (54%-56% before and after each tax increase) or product-related change (fifth tax increase: 17%-19%; sixth tax increase: 21%-22%) did not significantly alter from before to after each tax increase. However, it should be noted that the proportion of participants making smoking-related changes was generally high, even prior to each increase. For example, before the 2015 tax increase, 1% reported quitting completely, 21% trying to quit, and 53% cutting down. In New Zealand, with its series of annual tobacco tax increases since 2010, there were no significant changes in smoking- or product-related behavior associated with the fifth and sixth increases. Nevertheless, overall cessation-related activity was high, with a majority of participants reporting either quitting and/or cutting down recently. Little is known about the impact of small, persistent, predictable tobacco tax increases on smoking behavior. This study evaluated the impact of the fifth (in 2014) and sixth (2015) tax increases in an annual series implemented in New Zealand. Although there were no detectable changes in smoking behaviors from before to after each tax increase, self-reported cessation-related activity was high overall (i.e., even prior to each increase). Given that there are multiple possible interpretations for these findings, more in-depth time-series analyses are needed to understand how such a tax strategy influences smoking behavior.

Association between electronic cigarette use and changes in quit attempts, success of quit attempts, use of smoking cessation pharmacotherapy, and use of stop smoking services in England: time series analysis of population trends

Objectives To estimate how far changes in the prevalence of electronic cigarette (e-cigarette) use in England have been associated with changes in quit success, quit attempts, and use of licensed...

A smoking cessation programme for current and recent ex-smokers following diagnosis of a potentially curable cancer.

Cancer patients who quit smoking have improved survival rates. The time of diagnosis provides a 'teachable moment' when healthcare providers can offer smoking-cessation treatment. To assess the impact on quit rates of a tailored smoking-cessation intervention for patients diagnosed with a potentially curable cancer. A prospective, one-arm cohort study of current smokers and recent quitters (<30 days) who had commenced treatment for a potentially curable cancer was performed. Intervention involved an initial motivational interview, regular follow up and pharmacotherapy when appropriate. Quit rates were measured at 1, 3, 6 and 12 months by self-reported abstinence and biochemical confirmation. The primary end point was prolonged abstinence at 12 months. Changes in quality of life parameters and distress were also assessed. Seventy-one patients were recruited, with a median age of 56 years. Forty-one patients (58%) had a smoking-related cancer. The prolonged abstinence rate at 12 months was 24% (95% confidence interval 14-36%). Factors associated with successful quitting included being in the preparation or action phase of readiness to change at study entry (P = 0.012) and having complications of treatment requiring hospitalisation (P = 0.024). Between baseline and 12 months, quitters reported improvement in self-control (P < 0.001) and reduced levels of distress (P = 0.03) compared to non-quitters. Patients who continue to smoke after being diagnosed with cancer require intensive support to quit. An individualised behavioural and pharmacological intervention can be successful in helping patients quit smoking, with quality of life improvements seen amongst successful quitters. Population measures to stop people starting smoking remain essential.

Predictors of retention in a randomised trial of smoking cessation in low-socioeconomic status Australian smokers

Background and aimsLittle is known about the factors associated with retention in smoking cessation trials, especially for low-socioeconomic status (low-SES) smokers. This study examined the factors associated with retention of low-SES smokers in the Australian Financial Interventions for Smoking Cessation Among Low-Income Smokers (FISCALS) trial. DesignA two-group parallel block randomised open-label trial with allocation concealment. SettingAustralia. The study was conducted primarily by telephone-based interviews with nicotine replacement therapy delivered via mail. Participants1047 low-SES smokers interested in quitting smoking were randomised. MeasurementsParticipants completed computer assisted telephone interviews (CATIs) at baseline, 2-month and 8-month follow-up. Smoking-related, substance use, mental or physical health, general psychological constructs, sociodemographic and recruitment sources association with retention at 8-month follow-up were examined using binary logistic regression. Findings946 participants (90%) completed the 2-month follow-up interview and 880 participants (84%) completed the 8-month follow-up interview. Retention at 8-months was associated with higher motivation to quit (OR: 1.15; 95% CI: 1.04, 1.27 p<0.01), more recent quit attempts (OR: 1.20; 95% CI: 1.04, 1.40 p<0.05), increasing age (OR: 1.05; 95% CI: 1.03, 1.07 p<0.01), and higher level of education (OR: 2.24; 95% CI: 1.45, 3.46 p<0.01). Lower retention at 8-months occurred for those participants recruited from posters placed in Department of Human Service Centrelink Offices (OR: 0.56; 95% CI: 0.35, 0.89, p<0.05) compared to participants recruited from Quitline services. No significant differences in retention were found for participants recruited via newspaper advertisements or word of mouth compared to Quitline services. No significant associations were found between health-related or behavioural factors and retention. ConclusionsIn the context of high overall retention rates from disadvantaged smokers in a randomised trial, retention was greater in those smokers with higher motivation to quit, more recent quit attempts, increased age, higher level of education and for those recruited through Quitline or newspaper advertisements.

A randomized controlled trial of directive and nondirective smoking cessation coaching through an employee quitline.

BackgroundTelephone quitlines can help employees quit smoking. Quitlines typically use directive coaching, but nondirective, flexible coaching is an alternative. Call-2-Quit used a worksite-sponsored quitline to compare directive and nondirective coaching modes, and evaluated employee race and income as potential moderators.MethodsAn unblinded randomized controlled trial compared directive and nondirective telephone coaching by trained laypersons. Participants were smoking employees and spouses recruited through workplace smoking cessation campaigns in a hospital system and affiliated medical school. Coaches were four non-medical women trained to use both coaching modes. Participants were randomized by family to coaching mode. Participants received up to 7 calls from coaches who used computer assisted telephone interview software to track topics and time. Outcomes were reported smoking abstinence for 7 days at last contact, 6 or 12 months after coaching began. Both worksites implemented new tobacco control policies during the study.ResultsMost participants responded to an insurance incentive introduced at the hospital. Call-2-Quit coached 518 participants: 22 % were African-American; 45 % had incomes below $30,000. Income, race, and intervention did not affect coaching completion rates.Cessation rates were comparable with directive and nondirective coaching (26 % versus 30 % quit, NS). A full factorial logistic regression model identified above median income (odds ratio = 1.8, p = 0.02), especially among African Americans (p = 0.04), and recent quit attempts (OR = 1.6, p = 0.03) as predictors of cessation. Nondirective coaching was associated with high cessation rates among subgroups of smokers reporting income above the median, recent quit attempts, or use of alternative therapies. Waiting up to 4 weeks to start coaching did not affect cessation. Of 41 highly addicted or depressed smokers who had never quit more than 30 days, none quit.ConclusionNondirective coaching improved cessation rates for selected smoking employees, but less expensive directive coaching helped most smokers equally well, regardless of enrollment incentives and delays in receiving coaching. Some subgroups had very low cessation rates with either mode of quitline support.Trial registrationClinicalTrials.gov NCT02730260, Registered March 31, 2016

Cardiovascular disease risk factors in relation to smoking behaviour and history: a population-based cohort study.

ObjectiveTo investigate how individual risk factors for cardiovascular disease (CVD) (blood pressure, lipid levels, body mass index, waist and hip circumference, use of antihypertensive or hypolipidemic medication, and diagnosed diabetes) differ in people aged 46 years with different smoking behaviour and history.MethodsThis population-based cohort study is based on longitudinal data from the Northern Finland Birth Cohort 1966 project. Data were collected at the 31-year and 46-year follow-ups, when a total of 5038 and 5974 individuals participated in clinical examinations and questionnaires. Data from both follow-ups were available for 3548 participants. In addition to individual CVD risk factors, Framingham and Systematic Coronary Risk Evaluation (SCORE) algorithms were used to assess the absolute risk of a CVD event within the next decade.ResultsThe differences in individual risk factors for CVD reached statistical significance for some groups, but the differences were not consistent or clinically significant. There were no clinically significant differences in CVD risk as measured by Framingham or SCORE algorithms between never smokers, recent quitters and former smokers (7.5%, 7.4%, 8.1% for men; 3.3%, 3.0%, 3.2% for women; p<0.001).ConclusionsThe effect of past or present smoking on individual CVD risk parameters such as blood pressure and cholesterol seems to be of clinically minor significance in people aged 46 years. In other words, smoking seems to be above all an independent risk factor for CVD in the working-age population. Quitting smoking in working age may thus reduce calculated CVD risk nearly to the same level with people who have never smoked.

A Preliminary Exploration of Former Smokers Enrolled in an Internet Smoking Cessation Program.

BackgroundInternet interventions may have an important role to play in helping self-quitters maintain an initial period of abstinence. Little is known about the characteristics and utilization patterns of former smokers who use Internet cessation programs.ObjectiveThe overarching aim of this preliminary study was to establish the feasibility of a subsequent randomized trial of the effectiveness of Internet interventions in preventing relapse. Specifically, this study sought to determine the number of former smokers that register on a smoking cessation website, the characteristics of former smokers and their website utilization patterns, and potential predictors of sustained abstinence.MethodsParticipants were self-identified former smokers who registered on a free smoking cessation website. Recruitment occurred immediately following site registration. Participants completed Web-based baseline and 1-month follow-up assessments. Website utilization metrics were extracted at 1 month. Descriptive statistics were used to characterize the full sample. Baseline differences were examined between recent quitters (≤7 days of abstinence at enrollment) and more established quitters (8+ days of abstinence at enrollment) using chi-square tests and t tests. Univariate logistic regression examined demographic, smoking, psychosocial characteristics, and website utilization metrics as predictors of 1-month abstinence.ResultsDuring the 10-month study period, 1141 former smokers were recruited to participate: 494 accepted the invitation, 395 were eligible, 377 provided informed consent, and 221 completed the baseline and fully enrolled (56% of those eligible). At 1 month, 55.7% (123/221) of participants completed the follow-up survey. Mean age was 44.25 years (SD 12.78) and the sample was primarily female (174/221, 78.7%), white (196/221, 88.7%), and had at least some college education (177/221, 80.1%). Slightly more than half of participants (123/221, 55.7%) reported quitting more than a week prior to website registration and 43.9% (97/221) had quit within 7 days of registration. The website features most likely to be used were an interactive Quit Date tool (166/221, 75.1%) and the Community (134/221, 60.6%). Univariate regression models showed that recent quitters, those with higher motivation to remain abstinent, and those who used cessation medication in the past year were more likely to use the Community. Older age, longer duration of abstinence at registration, better health status, and health care provider advice to quit were associated with 1-month abstinence. Website utilization metrics did not predict abstinence, though odds ratios suggested higher utilization was associated with greater odds of abstinence.ConclusionsThis exploratory study demonstrated the feasibility of recruiting former smokers to a research study and documented the uptake of an Internet cessation intervention among this group of self-quitters. Results also showed higher levels of website utilization and greater likelihood of community use among smokers early in their quit attempt compared to those with a longer period of abstinence at enrollment. Important areas for future research include identifying former smokers who may be more susceptible to relapse and determining which components of an Internet intervention are most helpful to prevent relapse in the early and later stages of a quit attempt.

How are tobacco smokers using e-cigarettes? Patterns of use, reasons for use and places of purchase in New South Wales.

To explore how and why tobacco smokers and recent quitters in NSW use e-cigarettes, as well as common places of purchase. The Cancer Institute Tobacco Tracking Survey is a serial cross-sectional telephone survey, with 40 interviews in NSW each week. 2966 tobacco smokers and recent quitters (in the past 12 months) interviewed January 2014 - June 2015. Current e-cigarette use; reasons for using; places of purchase. 9% of the sample reported currently using e-cigarettes; the rate was highest among 18-29-year-old people (16%). Infrequent use (less than weekly; 57%) was more common than frequent use (at least weekly; 43%). Frequent use was more likely among older adults (55 years and older v 18-29 years: adjusted odds ratio [aOR], 4.43; P = 0.002) and less likely among current tobacco smokers (v recent quitters: aOR, 0.38, P = 0.020). The most common reasons for using e-cigarettes by those over 30 years of age was "to help me quit" (42%) and to "cut down" smoking (35%); for younger adults it was "because they are not as bad for your health as cigarettes" (25%). Common places of purchase were the internet (29%) and tobacconists (27%). Although use of e-cigarettes by tobacco smokers in NSW remains low, some are using e-cigarettes in attempts to reduce tobacco-related harm. Physicians and public health campaigners should inform smokers about the risks associated with dual e-cigarette and tobacco use, advise interested quitters that e-cigarettes are currently unregulated as cessation aids, and continue to provide evidence-based recommendations and cessation services to smokers wanting to quit.

The Relationship between Body Mass Index and Post-Cessation Weight Gain in the Year after Quitting Smoking: A Cross-Sectional Study.

IntroductionThere is wide variability in the amount of weight gained when quitting smoking, but little is known about key predictors of weight gain. We examined the impact of body mass index (BMI) category and sociodemographic variables on post-cessation weight gain.Materials and MethodsWe utilized National Health and Nutrition Examination Survey data from five consecutive cycles of data collection from 2003–2004 to 2011–2012 to estimate post-cessation weight gain by BMI category among recent quitters (n = 654). We analyzed data on their “current weight” and their “past year weight”. We also compared the recent quitters with current smokers, in order to estimate the amount of weight that could be attributed to quitting smoking.ResultsRecent quitters gained 1.4 kg (95% CI: 0.8 to 2.0), while current smokers had a non-significant weight change (-0.01 kg (95% CI: -0.3 to 0.2). Weight gain was significant for those in the normal weight (3.1 kg, 95% CI: 2.3 to 3.9) and overweight BMI categories (2.2 kg, 95% CI: 1.1 to 3.2).ConclusionsBMI category is a key factor in the extent of post-cessation weight gain, with normal and overweight recent quitters gaining significant amounts of weight.

Development and validation of a 21-item challenges to stopping smoking (CSS-21) scale

ObjectiveIdentification of challenges associated with quitting and overcoming them may improve cessation outcomes. This study describes the development and initial validation of a scale for measuring challenges to stopping smoking.MethodsThe...