The joint influence of gender and amount of smoking on weight gain one year after smoking cessation.

Weight gain is often associated with smoking cessation and may discourage smokers from quitting. This study estimated the weight gained one year after smoking cessation and examined the risk factors associated with weight gain in order to identify socio-demographic groups at higher risk of increased weight after quitting. We analyzed data from 750 adults in two randomized controlled studies that included smokers motivated to quit and found a gradient in weight gain according to the actual duration of abstinence during follow-up. Subjects who were abstinent for at least 40 weeks gained 4.6 kg (SD = 3.8) on average, compared to 1.2 kg (SD = 2.6) for those who were abstinent less than 20 weeks during the 1-year follow-up. Considering the duration of abstinence as an exposure variable, we found an age effect and a significant interaction between sex and the amount of smoking before quitting: younger subjects gained more weight than older subjects; among light smokers, men gained more weight on average than women one year after quitting, while the opposite was observed among heavy smokers. Young women smoking heavily at baseline had the highest risk of weight gain after quitting.

Impact of carotid plaque screening on smoking cessation and other cardiovascular risk factors: a randomized controlled trial.

BACKGROUND: Screening of peripheral atherosclerosis is increasingly used, but few trials have examined its clinical impact. We aimed to assess whether carotid plaque screening helps smokers to improve their health behaviors and cardiovascular risk factors. METHODS: We randomly assigned 536 smokers aged 40 to 70 years to carotid plaque ultrasonographic screening (US group) vs no screening (control group) in addition to individual counseling and nicotine replacement therapy for all participants. Smokers with at least 1 plaque received pictures of their plaques with a 7-minute structured explanation. The outcomes included biochemically validated smoking cessation at 12 months (primary outcome) and changes in cardiovascular risk factor levels and Framingham risk score. RESULTS: At baseline, participants (mean age, 51.1 years; 45.0% women) smoked an average of 20 cigarettes per day with a median duration of 32 years. The US group had a high prevalence of carotid plaques (57.9%). At 12 months, smoking cessation rates were high, but did not differ between the US and control groups (24.9% vs 22.1%; P = .45). In the US group, cessation rates did not differ according to the presence or absence of plaques. Control of cardiovascular risk factors (ie, blood pressure and low-density lipoprotein cholesterol and hemoglobin A(1c) levels in diabetic patients) and mean absolute risk change in Framingham risk score did not differ between the groups. The mean absolute risk change in Framingham risk score was +0.6 in the US group vs +0.3 in the control group (P = .56). CONCLUSION: In smokers, carotid plaque screening performed in addition to thorough smoking cessation counseling is not associated with increased rates of smoking cessation or control of cardiovascular risk factors. Trial Registration  clinicaltrials.gov Identifier: NCT00548665.

Increased clozapine plasma concentrations and side effects induced by smoking cessation in 2 CYP1A2 genotyped patients.

Clozapine, an atypical antipsychotic, depends mainly on cytochrome P4501A2 (CYP1A2) for its metabolic clearance. CYP1A2 is inducible by smoking, and lower plasma concentrations of clozapine are measured in smokers than in nonsmokers. Case reports have been published on the effects of discontinuing smoking in patients receiving clozapine, which might lead to elevated plasma concentrations and severe side effects. We present 2 cases on the consequences of smoking cessation in patients receiving this drug. In the first patient, smoking cessation resulted, within 2 weeks, in severe sedation and fatigue, with an approximately 3-fold increase of plasma clozapine concentrations. In the second patient, a very high plasma concentration of clozapine (3004 ng/mL) was measured 6 days following a 16-day stay in a general hospital, during which smoking was prohibited. In the latter patient, the replacement of omeprazole, a strong CYP1A2 inducer, by pantoprazole, a weaker CYP1A2 inducer, could have contributed, in addition to smoking cessation, to the observed strong increase of plasma clozapine concentrations. Genotyping of the 2 patients revealed that they were carriers of the AA genotype for the -164C>A polymorphism (CYP1A2*1F) in intron 1 of CYP1A2 gene, which has previously been shown to confer a high inducibility of CYP1A2 by smoking. Thus, at the initiation of clozapine treatment, smoking patients should be informed that, if they decide to stop smoking, they are encouraged to do so but must inform their prescriber beforehand. Also, because of the increased use of no-smoking policies in many hospitals, studies examining the consequences of such policies on the pharmacokinetics/pharmacodynamics of drugs metabolized by CYP1A2, taking into account different CYP1A2 genotypes, are needed.

When to Quit Under Uncertainty? A real options approach to smoking cessation

This paper models the decision to quit smoking like an investment decision where the quitter incurs a sunk withdrawal cost today and forgoes their consumer surplus from cigarettes (invests) and hopes to reap an uncertain reward of better health and therefore higher utility in the future (return). We show that a risk-averse mature smoker who expects to benefit from quitting may still rationally choose to delay quitting until they are more confident that quitting is the right decision for them. Such a decision by the smoker is due to the value associated with keeping their option of whether or not to quit open as they learn more about the damage that smoking will have on their future utility. Policies which reduce a smoker’s uncertainty about the damage that smoking with have on their future utility is likely to make them quit earlier.

Predictors of weight change in sedentary smokers receiving a standard smoking cessation intervention

L'arrêt de la cigarette est généralement associé à une prise de poids. Celle-ci peut menacer la motivation des fumeurs à s'engager dans un processus d'arrêt du tabac et constitue un motif de rechute. L'ordre de grandeur et la cinétique de la prise de poids liée à une tentative d'arrêt chez les fumeurs pris en charge selon les recommandations cliniques actuelles est peu décrite dans la littérature médicale. Le but de cette étude était de quantifier cette prise de poids, d'en déterminer la cinétique ainsi que les facteurs qui l'influencent, chez des fumeurs sédentaires bénéficiant d'une intervention d'aide à l'arrêt du tabac individualisée, composée de conseils individuels et d'une substitution nicotinique associant plusieurs modes d'administration. Nous avons analysé des données récoltées durant un essai clinique randomisé contrôlé au cours duquel était étudié l'impact d'une activité physique modérée sur les taux d'arrêt du tabac après un an chez des fumeurs sédentaires. Nous avons modélisé l'évolution du poids de l'ensemble des participants au cours du temps, selon la technique statistique des « modèles mixtes longitudinaux ». En séparant les périodes d'abstinence de la cigarette de celles de rechute et de l'utilisation reportée de substituts nicotiniques. Cette approche nous a permis de prendre en compte chaque participant à l'étude, par opposition à un modèle plus simple qui séparerait les sujets abstinents de ceux qui rechutent à n'importe quel moment de la période de suivi. Nous avons également ajusté ces modèles pour l'âge, le sexe, le niveau de dépendance à la nicotine et le niveau de formation des participants. Parmi l'ensemble des participants, nous avons noté une augmentation du poids durant les trois premiers mois de l'intervention, suivie d'une stabilisation. Au total, la prise de poids moyenne s'est élevée à 3.3 kg pour les femmes et 3.9 kg pour les hommes. Durant les périodes d'abstinence, les caractéristiques suivantes étaient associées à la prise de poids : sexe masculin et forte dépendance nicotinique. Un âge supérieur à 43 ans était associé à une prise de poids également durant les périodes de rechute. Nous avons observé une tendance, non statistiquement significative, vers une réduction de la prise des poids avec l'utilisation de substituts nicotiniques. Notre étude apporte de nouvelles données sur l'évolution du poids chez les fumeurs sédentaires qui bénéficient d'une intervention d'aide à l'arrêt du tabac. Ils prennent donc du poids, de manière modérée et limitée aux premiers mois. Parmi eux, les hommes, les individus les plus dépendants à la nicotine et les plus âgés doivent s'attendre à une prise de poids supérieure à la moyenne.

A systematic review of longitudinal population-based studies on the predictors of smoking cessation in adolescent and young adult smokers

Le tabagisme est responsable de plus de 5 million de décès par an à travers le monde. En Suisse (2010), la prévalence de fumeurs chez les 14-19 ans était de 22% et la prévalence d'ex-fumeurs de 3%, taux qui reste relativement stable au fil des dernières années. La plupart des jeunes fumeurs désirant arrêter de fumer rencontrent des difficultés pour y parvenir. Les revues empiriques ont conclu que les programmes ayant pour but l'arrêt du tabagisme chez les jeunes ont une efficacité limitée. Afin de fournir une base solide de connaissances pour les programmes d'interventions contre le tabagisme, les déterminants de l'auto-cessation ont besoin d'être compris. Nous avons systématiquement recherché dans PUBMED et EMBASE des études longitudinales, basées sur la population, portant sur les déterminants de l'auto-cessation chez des adolescents et des jeunes adultes fumeurs. Nous avons passé en revue 4'502 titres et 871 abstracts, tous examinés indépendamment par deux et trois examinateurs, respectivement. Les critères d'inclusion étant : articles publiés entre janvier 1984 et août 2010, concernant les jeunes entre 10 et 29 ans et avoir une définition de cessation de fumer d'au moins 6 mois. Neuf articles ont été retenus pour une analyse détaillée. Les données suivantes ont été extraites de chaque article : le lieu de l'étude, la période étudiée, la durée du suivi, le nombre de collecte de données, la taille de l'échantillon, l'âge ou l'année scolaire des participants, le nombre de participants qui arrêtent de fumer, le status tabagique lors de la première collecte, la définition de cessation, les co-variantes et la méthode analytique. Le nombre d'études qui montrent une association significativement significative entre un déterminant et l'arrêt du tabagisme a été tabulé à partir de toutes les études qui ont évalués ce déterminant. Trois des neufs articles retenus ont défini l'arrêt du tabagisme comme une abstinence de plus de 6 mois et les six autres comme 12 mois d'abstinence. Malgré l'hétérogénéité des méthodes utilisées, cinq facteurs principaux ressortent comme prédicteur de l'arrêt du tabagisme : 1) ne pas avoir d'amis qui fument, 2) ne pas avoir l'intention de continuer de fumer dans le futur, 3) résister à la pression sociale, 4) être âgé de plus de 18 ans lors de la première cigarette, et 5) avoir un avis négatif au sujet du tabagisme. D'autres facteurs sont significatifs mais ne sont évalués que dans peu d'articles. La littérature au sujet des prédicteurs de cessation chez les adolescents et les jeunes adultes est peu développée. Cependant, nous remarquons que les facteurs que nous avons mis en évidence ne dépendent pas que de l'individu, mais aussi de l'environnement. La prévention du tabagisme peut se centrer sur les bienfaits de l'arrêt (p.ex., par rapport à l'asthme ou les performances sportives) et ainsi motiver les jeunes gens à songer d'arrêter de fumer. Une taxation plus lourde sur le prix des cigarettes peut être envisagée afin de retarder l'âge de la première cigarette. Les publicités anti-tabagiques (non sponsorisées par les entreprises de tabac) peuvent influencer la perception des jeunes par rapport au tabagisme, renforçant ou créant une attitude anti-tabagique. Les prochaines campagnes anti- tabac devraient donc tenir compte de ces différents aspects.

The impact of carotid plaque screening on motivation for smoking cessation.

Showing smokers their own atherosclerotic plaques might increase motivation for smoking cessation, since they underestimate their own risk for smoking-related diseases. To assess the feasibility and optimal processes of studying the impact of carotid atherosclerotic plaque screening in smokers, we enrolled 30 daily cigarette smokers, aged 40-70 years, in an observational pre-post pilot study. All smokers underwent smoking cessation counseling, nicotine replacement therapy, a carotid ultrasound, an educational tutorial on atherosclerosis, baseline and 2-month motivation to change assessment, and assessment of smoking cessation at 2 months. Participants had a mean smoking duration of 34 years (SD = 7). Carotid plaques were present in 22 smokers (73%). Between baseline and 2 months after plaque screening, motivation for smoking cessation increased from 7.4 to 8.4 out of 10 (p = .02), particularly in those with plaques (7.2 to 8.7, p = .008). At 2 months, the smoking quit rate was 63%, with a quit rate of 73% in those with plaques vs. 38% in those without plaques (p = .10). Perceived stress, anxiety, and depression did not increase after screening. 96% of respondents answered correctly at least 80% of questions regarding atherosclerosis knowledge at baseline and after 2 months. In conclusion, studying the process of screening for carotid plaques for the purpose of increasing motivation for smoking cessation, in addition to counseling and drug therapy for smoking cessation in long-term smokers, appears feasible. The impact of carotid plaque screening on smoking cessation should be examined in larger randomized controlled trials with sufficient power to assess the impact on long-term smoking cessation rates.

Predicting smoking cessation and its relapse in HIV-infected patients: the Swiss HIV Cohort Study.

OBJECTIVES: The aim of the study was to assess whether prospective follow-up data within the Swiss HIV Cohort Study can be used to predict patients who stop smoking; or among smokers who stop, those who start smoking again. METHODS: We built prediction models first using clinical reasoning ('clinical models') and then by selecting from numerous candidate predictors using advanced statistical methods ('statistical models'). Our clinical models were based on literature that suggests that motivation drives smoking cessation, while dependence drives relapse in those attempting to stop. Our statistical models were based on automatic variable selection using additive logistic regression with component-wise gradient boosting. RESULTS: Of 4833 smokers, 26% stopped smoking, at least temporarily; because among those who stopped, 48% started smoking again. The predictive performance of our clinical and statistical models was modest. A basic clinical model for cessation, with patients classified into three motivational groups, was nearly as discriminatory as a constrained statistical model with just the most important predictors (the ratio of nonsmoking visits to total visits, alcohol or drug dependence, psychiatric comorbidities, recent hospitalization and age). A basic clinical model for relapse, based on the maximum number of cigarettes per day prior to stopping, was not as discriminatory as a constrained statistical model with just the ratio of nonsmoking visits to total visits. CONCLUSIONS: Predicting smoking cessation and relapse is difficult, so that simple models are nearly as discriminatory as complex ones. Patients with a history of attempting to stop and those known to have stopped recently are the best candidates for an intervention.

Prévenir la prise de poids à l'arrêt du tabac: pas de solution miracle: revue Cochrane pour le praticien. [Preventing weight gain in smoking cessation: there is no miracle solution]

http://resfranco.cochrane.org/sites/resfranco.cochrane.org/files/uploads/Arrettabac2009.pdf

Statistics on Smoking Cessation Services in Northern Ireland: 08/09: Pre Release Access List

2008/09 Pre-Release Access List

Annual Statistics on Smoking Cessation Services in NI

Annual Reports and Deprivation Maps

High expectation in non-evidence-based smoking cessation interventions among smokers--the CoLaus study.

To assess the preferred methods to quit smoking among current smokers. Cross-sectional, population-based study conducted in Lausanne between 2003 and 2006 including 988 current smokers. Preference was assessed by questionnaire. Evidence-based (EB) methods were nicotine replacement, bupropion, physician or group consultations; non-EB-based methods were acupuncture, hypnosis and autogenic training. EB methods were frequently (physician consultation: 48%, 95% confidence interval (45-51); nicotine replacement therapy: 35% (32-38)) or rarely (bupropion and group consultations: 13% (11-15)) preferred by the participants. Non-EB methods were preferred by a third (acupuncture: 33% (30-36)), a quarter (hypnosis: 26% (23-29)) or a seventh (autogenic training: 13% (11-15)) of responders. On multivariate analysis, women preferred both EB and non-EB methods more frequently than men (odds ratio and 95% confidence interval: 1.46 (1.10-1.93) and 2.26 (1.72-2.96) for any EB and non-EB method, respectively). Preference for non-EB methods was higher among highly educated participants, while no such relationship was found for EB methods. Many smokers are unaware of the full variety of methods to quit smoking. Better information regarding these methods is necessary.