30 resultados para quitting

em Université de Lausanne, Switzerland


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Purpose: to assess among current smokers in Switzerland the willingness to quit and the preferred methods to help quitting smoking. Methods: cross-sectional study including 1265 current smokers (607 women and 658 men). Difficulty quitting smoking and the preferred methods to help quitting smoking were assessed by questionnaire. Results: 89% of women and 84% of men reported being "very difficult" or "difficult" to quit smoking. Almost three quarters of smokers (73% of women and 70% of men) reported some willingness to quit smoking, but less than 25% of them wanted to do so within the next 30 days, and only 64% within the next 6 months. Willingness to quit was stronger among younger smokers while no differences were found for gender, physical activity or education al Javel. The preferred methods to help quitting smoking were personalized counselling by a doctor (51.4%), acupuncture (35.9%); nicotine replacement therapy (37.6%); hypnosis (28.8%); information flyers (24.9%); autogenic training (15.3%); bupropion (15.2%); personalized counselling by a non-doctor (14.7%) and group interventions (13.2%). Acupuncture and hypnosis were more favoured by women, and autogenic training by younger smokers. Still, a sizable fraction (between 19 and 51%) of smokers did not know some of the methods to help quitting smoking. Conclusion: although more than two thirds of Swiss smokers want to quit, only a small fraction wishes to do so in the short term. Setter information regarding the different methods to help quitting is also necessary.

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QUESTION UNDER STUDY: To test longitudinally differences in conventional cigarette use (cigarettes smoked, cessation, quit attempts) between vapers and nonvapers. METHODS: Fifteen months follow-up of a sample of 5 128 20-year-old Swiss men. The onset of conventional cigarette (CC) use among nonsmokers, and smoking cessation, quit attempts, changes in the number of CCs smoked among smokers at baseline were compared between vapers and nonvapers at follow-up, adjusted for nicotine dependence. RESULTS: Among baseline nonsmokers, vapers were more likely to start smoking at follow-up than nonvapers (odds ratio [OR] 6.02, 95% confidence interval [CI] 2.81, 12.88 for becoming occasional smokers, and OR = 12.69, 95% CI 4.00, 40.28 for becoming daily smokers). Vapers reported lower smoking cessation rates among occasional smokers at baseline (OR = 0.43 (0.19, 0.96); daily smokers: OR = 0.42 [0.15, 1.18]). Vapers compared with nonvapers were heavier CC users (62.53 vs 18.10 cigarettes per week, p <0.001) and had higher nicotine dependence levels (2.16 vs 0.75, p <0.001) at baseline. The number of CCs smoked increased between baseline and follow-up among occasional smokers (b = 6.06, 95% CI 4.44, 7.68) and decreased among daily smokers (b = -5.03, 95% CI -8.69, -1.38), but there were no differential changes between vapers and nonvapers. Vapers showed more quit attempts at follow-up compared with nonvapers for baseline occasional smokers (incidence rate ratio [IRR] 1.81, 95% CI 1.24, 2.64; daily smokers IRR 1.28, 95% CI 0.95, 1.73). CONCLUSIONS: We found no beneficial effects of vaping at follow-up for either smoking cessation or smoking reduction.

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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.

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ABSTRACT: BACKGROUND: Recent data indicate a slight decrease in the prevalence of smoking in Switzerland, but little is known regarding the intention and difficulty to quit smoking among current smokers. Hence, we aimed to quantify the difficulty and intention to quit smoking among current smokers in Switzerland. METHODS: Cross-sectional study including 607 female and 658 male smokers. Difficulty, intention and motivation to quit smoking were assessed by questionnaire. RESULTS: 90% of women and 85% of men reported being "very difficult" or "difficult" to quit smoking. Almost three quarters of smokers (73% of women and 71% of men) intended to quit; however, less than 20% of them were in the preparation stage and 40% were in the precontemplation stage. On multivariate analysis, difficulty to quit was lower among men (Odds ratio and 95% [confidence interval]: 0.51 [0.35-0.74]) and increased with nicotine dependence and number of previous quitting attempts (OR=3.14 [1.75-5.63] for 6+ attempts compared to none). Intention to quit decreased with increasing age (OR=0.48 [0.30-0.75] for [greater than or equal to]65 years compared to <45 years) and increased with nicotine dependence, the number of previous quitting attempts (OR=4.35 [2.76-6.83] for 6+ attempts compared to none) and among non-cigarette smokers (OR=0.51 [0.28-0.92]). Motivation to quit was inversely associated with nicotine dependence and positively associated with the number of previous quitting attempts and personal history of lung disease. CONCLUSION: Over two thirds of Swiss smokers want to quit. However, only a small fraction wishes to do so in the short term. Nicotine dependence, previous attempts to quit or previous history of lung disease are independently associated with difficulty and intention to quit.

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Tobacco smoking is a major public health issue and a better understanding of tobacco addiction represents an important challenge. Many factors are involved in tobacco addiction, including genetic factors. Taking them into account in smoking cessation programs would allow to better adapt these programs to individual characteristics and improve their rate of success. Given enzymatic induction by tobacco smoke, smoking cessation can nevertheless have important consequences on the metabolism of some drugs, that have to be taken into consideration. Here we present different clinical and genetic aspects of smoking and of smoking cessation. A dose adjustment of drugs influenced by tobacco smoke is proposed when quitting smoking.

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Currently, smoking cessation represents one of the main strategies to reduce the incidence of tobacco-related diseases in the population. Smoking can also influence pharmacotherapy through several pharmacokinetic or pharmacodynamic interactions. Some of the most concerned drugs are those metabolized by the cytochrome P450 (CYP) 1A2 enzyme (e.g. caffeine, theophylline, clozapine, olanzapine, duloxetine), whose activity is induced by the polycyclic aromatic hydrocarbons found in tobacco smoke. This can result in a clinically significant decrease in the pharmacological effect of the drugs and the need of higher doses in smokers. Conversely, upon smoking cessation, toxic plasma levels of the drugs can be reached. The main objective of this thesis was to study the interindividual variability in CYP1A2 induction in a large cohort of smokers, by measuring CYP1A2 activity before smoking cessation and one month later in continuously abstinent subjects. For this purpose, a clinical study was conducted, including 194 smokers from the general population who wished to participate in a smoking cessation program and therefore received medical counseling and substitution therapy (nicotine or varenicline). An analytical method for the simultaneous quantification of nicotine, its metabolites and varenicline in plasma was developed and validated using ultra performance liquid chromatography coupled with tandem mass spectrometry. This method was used to confirm abstinence at different time points during the follow-up. Moreover, it was used to determine plasma levels of the smoking cessation drugs, to be used in the study of their pharmacogenetics, which was the secondary objective of this thesis. High interindividual variability in CYP1A2 induction by smoking was observed, ranging from no change to approximately 7 times decreased CYP1A2 activity after smoking cessation. Several clinical and genetic factors were investigated in an attempt to explain this variability. Firstly, a significant influence of CYP1A2*1F and *1D alleles, of contraceptive use and of the number of cigarettes smoked per day on CYP1A2 induced activity was observed, and of CYP1A2*1F and the use of contraceptives on the basal activity. But no influence of these factors was found on CYP1A2 inducibility. Given that known genetic polymorphisms in CYP1A2 gene were shown to explain only poorly the observed variations in activity, additional genetic factors were studied. SNPs in the CYP oxidoreductase (POR) gene were found to influence CYP1A2 basal activity, but not the induction. Finally, a pathway-based approach allowed to identify SNPs in genes coding for nuclear receptors (CAR, RXRa, VDR, PXR) and induction-mediating receptors (AhR), which significantly influenced CYP1A2 inducibility and basal activity (SNPs in the gene coding for CAR and RXRa). As secondary objective of the study, the pharmacogenetics of nicotine and varenicline is being investigated. Therefore, the nicotine metabolite ratio is used in the attempt to better explain nicotine dependence and the failure/success of quitting smoking. A population pharmacokinetic model is being developed for varenicline, integrating clinical and genetic factors (genes coding for its metabolizing enzymes and transporters), with the purpose of trying to predict efficacy and side effects. These findings suggest that the influence of smoking on pharmacotherapy could be better managed by including clinical and possibly in the future genetic factors, in the assessment of the adaptations needed when a person starts or stops smoking.  - L'arrêt du tabac représente une des principales stratégies pour diminuer l'incidence des maladies causées par celui-ci. Le tabagisme peut influencer la thérapie médicamenteuse par des interactions pharmacocinétiques ou pharmacodynamiques. Parmi les médicaments concernés, il y a ceux métabolisés par le cytochrome P450 (CYP) 1A2 (caféine, théophylline, clozapine, olanzapine, duloxétine, etc), dont l'activité enzymatique est induite par les hydrocarbures aromatiques polycycliques présents dans la fumée de cigarette. Ceci peut se traduire par une diminution de l'effet pharmacologique du traitement et la nécessité d'augmenter les doses d'entretien chez les fumeurs. Au contraire, à l'arrêt de la cigarette, les taux plasmatiques des médicaments peuvent devenir toxiques. L'objectif principal de cette thèse était d'étudier la variabilité interindividuelle dans l'induction du CYP1A2 dans une large cohorte de fumeurs, par la mesure de l'activité du CYP1A2 avant l'arrêt de la cigarette, ainsi qu'un mois après chez les sujets abstinents. Pour ce faire, une étude clinique a été conduite, incluant 194 fumeurs de la population générale dans un programme d'arrêt du tabac offrant des consultations spécifiques et un traitement pharmacologique (nicotine ou varénicline). Une méthode analytique pour la quantification simultanée de la nicotine, ses métabolites et la varénicline dans le plasma par chromatographie liquide couplée à la spectrométrie de masse en tandem à été développée et validée. Cette méthode a été utilisée pour confirmer l'abstinence pendant l'étude et déterminer les taux plasmatiques des médicaments, dans le but d'étudier leur pharmacogénétique. Une grande variabilité interindividuelle dans l'induction du CYP1A2 par la fumée a été observée, parfois sans changement et pouvant aller jusqu'à une diminution d'environ 7 fois l'activité du CYP1A2 après l'arrêt de la cigarette. Plusieurs facteurs cliniques et génétiques ont été étudiés pour essayer d'expliquer cette variabilité. Tout d'abord, on a observé une influence significative: des allèles CYP1A2*1F et *1D, des contraceptifs et du nombre de cigarettes fumées par jour sur l'activité induite du CYP1A2, ainsi que l'influence de l'allèle *1F et des contraceptifs sur l'activité basale. Cependant, aucune influence de ces facteurs n'a été démontrée sur l'inductibilité du CYP1A2. Étant donné que les polymorphismes génétiques du CYP1A2 apportent peu de renseignements sur la variabilité de son activité, des facteurs génétiques supplémentaires ont été étudiés. Des polymorphismes dans le gène POR (CYP oxidoreductase) ont été associés à l'activité basale du CYP1A2, mais pas à l'induction. Finalement, une approche basée sur la voie de signalisation du CYP1A2 a permis d'identifier des polymorphismes dans des gènes codant pour des récepteurs nucléaires (CAR, RXRa, VDR, PXR) et d'autres liés à l'induction (AhR) qui influencent significativement l'inductibilité et l'activité basale (les SNPs du CAR et RXRa). L'objectif secondaire de cette étude était d'investiguer la pharmacogénétique de la nicotine et de la varénicline. Le ratio métabolique de la nicotine est utilisé pour mieux expliquer la dépendance à la nicotine et le succès/échec de l'arrêt de la cigarette. Un modèle pharmacocinétique de population est en cours de développement pour la varénicline, intégrant des facteurs cliniques et génétiques (gènes codant pour ses enzymes de métabolisme et transporteurs), pour tenter de prédire son efficacité et ses effets secondaires. Les résultats de cette thèse suggèrent que l'influence du tabagisme sur la pharmacothérapie serait mieux gérée par l'inclusion des facteurs cliniques et peut-être, dans le futur, génétiques, dans l'évaluation des adaptations nécessaires lorsqu'une personne fume ou arrête de fumer.  - l'arrêt du tabac représente une des principales stratégies pour diminuer l'incidence des maladies causées par celui-ci dans la population. Le tabagisme peut influencer les traitements médicamenteux, soit en modifiant leur élimination par l'organisme, soit en agissant sur leur mode d'action. Parmi les médicaments les plus concernés, on retrouve par exemple: la caféine, la théophylline, la clozapine, l'olanzapine, la duloxétine, dont l'élimination est accélérée par la fumée de cigarette (induction enzymatique). Ceci peut se traduire par une diminution de l'effet du traitement et la nécessité d'en augmenter les doses chez les fumeurs. Au contraire, à l'arrêt de la cigarette, on observe un ralentissement de la fonction enzymatique, qui a pour conséquence une augmentation du taux de médicament dans le sang, pouvant devenir toxique. L'objectif principal de cette thèse était d'étudier comment cette induction par le tabac varie dans une population de fumeurs, par la mesure de l'activité de l'enzyme avant l'arrêt de la cigarette, ainsi qu'un mois après chez les sujets abstinents. Pour ce faire, une étude clinique a été conduite, incluant 194 fumeurs de la population générale dans un programme d'arrêt du tabac offrant des consultations spécifiques et un traitement médicamenteux (nicotine ou varénicline). Une méthode analytique a été mise au point pour mesurer la quantité de nicotine, de ses produits de dégradation et de la varénicline dans le sang des participants à l'étude. De plus, cette méthode a été utilisée pour confirmer l'abstinence pendant l'étude. Une grande variabilité interindividuelle a été observée dans l'induction de l'enzyme par la fumée; il en résulte aucun changement d'activité chez certains sujets après l'arrêt de la cigarette, alors que pour d'autres elle peut être diminuée jusqu'à 7 fois. Plusieurs facteurs cliniques et génétiques ont été étudiés pour essayer d'expliquer cette variabilité. Premièrement, une influence sur l'activité de l'enzyme a été observée pour les contraceptifs hormonaux et le nombre de cigarettes fumées par jour, ainsi que pour certaines variations génétiques dans le gène codant pour l'enzyme d'intérêt, mais il η y a pas eu d'influence sur l'induction. Par la suite, des variations génétiques dans d'autres gènes influençant le fonctionnement de l'enzyme ont été associées soit avec son activité, soit avec son induction par le tabac. Finalement, l'étude propose également d'investiguer si le métabolisme de la nicotine a une influence sur la dépendance, les symptômes de sevrage et le succès/échec de l'arrêt de la cigarette. Des variations génétiques dans les gènes du métabolisme de la varénicline sont également étudiées en lien avec les quantités de varénicline mesurées dans le sang ainsi que les effets du médicament. Ceci permettra peut-être de prédire son efficacité et ses effets secondaires. Les résultats de cette thèse suggèrent que l'influence du tabagisme sur la thérapie médicamenteuse serait mieux gérée en tenant compte des facteurs cliniques et peut-être, dans le futur, de la génétique dans l'adaptation des traitements, que la personne soit fumeuse ou en phase d'arrêt.

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The 15q24.1 locus, including CYP1A2, is associated with blood pressure (BP). The CYP1A2 rs762551 C allele is associated with lower CYP1A2 enzyme activity. CYP1A2 metabolizes caffeine and is induced by smoking. The association of caffeine consumption with hypertension remains controversial. We explored the effects of CYP1A2 variants and CYP1A2 enzyme activity on BP, focusing on caffeine as the potential mediator of CYP1A2 effects. Four observational (n = 16 719) and one quasi-experimental studies (n = 106) including European adults were conducted. Outcome measures were BP, caffeine intake, CYP1A2 activity and polymorphisms rs762551, rs1133323 and rs1378942. CYP1A2 variants were associated with hypertension in non-smokers, but not in smokers (CYP1A2-smoking interaction P = 0.01). Odds ratios (95% CIs) for hypertension for rs762551 CC, CA and AA genotypes were 1 (reference), 0.78 (0.59-1.02) and 0.66 (0.50-0.86), respectively, P = 0.004. Results were similar for the other variants. Higher CYP1A2 activity was linearly associated with lower BP after quitting smoking (P = 0.049 and P = 0.02 for systolic and diastolic BP, respectively), but not while smoking. In non-smokers, the CYP1A2 variants were associated with higher reported caffeine intake, which in turn was associated with lower odds of hypertension and lower BP (P = 0.01). In Mendelian randomization analyses using rs1133323 as instrument, each cup of caffeinated beverage was negatively associated with systolic BP [-9.57 (-16.22, -2.91) mmHg]. The associations of CYP1A2 variants with BP were modified by reported caffeine intake. These observational and quasi-experimental results strongly support a causal role of CYP1A2 in BP control via caffeine intake.

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BACKGROUND: Quitting tobacco or alcohol use has been reported to reduce the head and neck cancer risk in previous studies. However, it is unclear how many years must pass following cessation of these habits before the risk is reduced, and whether the risk ultimately declines to the level of never smokers or never drinkers. METHODS: We pooled individual-level data from case-control studies in the International Head and Neck Cancer Epidemiology Consortium. Data were available from 13 studies on drinking cessation (9167 cases and 12 593 controls), and from 17 studies on smoking cessation (12 040 cases and 16 884 controls). We estimated the effect of quitting smoking and drinking on the risk of head and neck cancer and its subsites, by calculating odds ratios (ORs) using logistic regression models. RESULTS: Quitting tobacco smoking for 1-4 years resulted in a head and neck cancer risk reduction [OR 0.70, confidence interval (CI) 0.61-0.81 compared with current smoking], with the risk reduction due to smoking cessation after >/=20 years (OR 0.23, CI 0.18-0.31), reaching the level of never smokers. For alcohol use, a beneficial effect on the risk of head and neck cancer was only observed after >/=20 years of quitting (OR 0.60, CI 0.40-0.89 compared with current drinking), reaching the level of never drinkers. CONCLUSIONS: Our results support that cessation of tobacco smoking and cessation of alcohol drinking protect against the development of head and neck cancer.

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OBJECTIVE: To estimate the incremental cost-effectiveness of the first-line pharmacotherapies (nicotine gum, patch, spray, inhaler, and bupropion) for smoking cessation across six Western countries-Canada, France, Spain, Switzerland, the United States, and the United Kingdom. DESIGN AND STUDY POPULATION: A Markov-chain cohort model to simulate two cohorts of smokers: (1) a reference cohort given brief cessation counselling by a general practitioner (GP); (2) a treatment cohort given counselling plus pharmacotherapy. Effectiveness expressed as odds ratios for quitting associated with pharmacotherapies. Costs based on the additional physician time required and retail prices of the medications. INTERVENTIONS: Addition of each first-line pharmacotherapy to GP cessation counselling. MAIN OUTCOME MEASURES: Cost per life-year saved associated with pharmacotherapies. RESULTS: The cost per life-year saved for counselling only ranged from US190 dollars in Spain to 773 dollars in the UK for men, and from 288 dollars in Spain to 1168 dollars in the UK for women. The incremental cost per life-year saved for gum ranged from 2230 dollars for men in Spain to 7643 dollars for women in the US; for patch from 1758 dollars for men in Spain to 5131 dollars for women in the UK; for spray from 1935 dollars for men in Spain to 7969 dollars for women in the US; for inhaler from 3480 dollars for men in Switzerland to 8700 dollars for women in France; and for bupropion from 792 dollars for men in Canada to 2922 dollars for women in the US. In sensitivity analysis, changes in discount rate, treatment effectiveness, and natural quit rate had the strongest influences on cost-effectiveness. CONCLUSIONS: The cost-effectiveness of the pharmacotherapies varied significantly across the six study countries, however, in each case, the results would be considered favourable as compared to other common preventive pharmacotherapies.

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BACKGROUND: Nicotine dependence is the major obstacle for smokers who want to quit. Guidelines have identified five effective first-line therapies, four nicotine replacement therapies (NRTs)--gum, patch, nasal spray and inhaler--and bupropion. Studying the extent to which these various treatments are cost-effective requires additional research. OBJECTIVES: To determine cost-effectiveness (CE) ratios of pharmacotherapies for nicotine dependence provided by general practitioners (GPs) during routine visits as an adjunct to cessation counselling. METHODS: We used a Markov model to generate two cohorts of one-pack-a-day smokers: (1) the reference cohort received only cessation counselling from a GP during routine office visits; (2) the second cohort received the same counselling plus an offer to use a pharmacological treatment to help them quit smoking. The effectiveness of adjunctive therapy was expressed in terms of the resultant differential in mortality rate between the two cohorts. Data on the effectiveness of therapies came from meta-analyses, and we used odds ratio for quitting as the measure of effectiveness. The costs of pharmacotherapies were based on the cost of the additional time spent by GPs offering, prescribing and following-up treatment, and on the retail prices of the therapies. We used the third-party-payer perspective. Results are expressed as the incremental cost per life-year saved. RESULTS: The cost per life-year saved for only counselling ranged from Euro 385 to Euro 622 for men and from Euro 468 to Euro 796 for women. The CE ratios for the five pharmacological treatments varied from Euro 1768 to Euro 6879 for men, and from Euro 2146 to Euro 8799 for women. Significant variations in CE ratios among the five treatments were primarily due to differences in retail prices. The most cost-effective treatments were bupropion and the patch, and, then, in descending order, the spray, the inhaler and, lastly, gum. Differences in CE between men and women across treatments were due to the shape of their respective mortality curve. The lowest CE ratio in men was for the 45- to 49-year-old group and for women in the 50- to 54-year-old group. Sensitivity analysis showed that changes in treatment efficacy produced effects only for less-well proven treatments (spray, inhaler, and bupropion) and revealed a strong influence of the discount rate and natural quit rate on the CE of pharmacological treatments. CONCLUSION: The CE of first-line treatments for nicotine dependence varied widely with age and sex and was sensitive to the assumption for the natural quit rate. Bupropion and the nicotine patch were the two most cost-effective treatments.

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BACKGROUND: Recent data indicate a slight decrease in the prevalence of smoking in Switzerland, but little is known regarding the intention and difficulty to quit smoking among current smokers. Hence, we aimed to quantify the difficulty and intention to quit smoking among current smokers in Switzerland. METHODS: Cross-sectional study including 607 female and 658 male smokers. Difficulty, intention and motivation to quit smoking were assessed by questionnaire. RESULTS: 90% of women and 85% of men reported being "very difficult" or "difficult" to quit smoking. Almost three quarters of smokers (73% of women and 71% of men) intended to quit; however, less than 20% of them were in the preparation stage and 40% were in the precontemplation stage. On multivariate analysis, difficulty to quit was lower among men (Odds ratio and 95% [confidence interval]: 0.51 [0.35-0.74]) and increased with nicotine dependence and number of previous quitting attempts (OR=3.14 [1.75-5.63] for 6+ attempts compared to none). Intention to quit decreased with increasing age (OR=0.48 [0.30-0.75] for ≥65 years compared to <45 years) and increased with nicotine dependence, the number of previous quitting attempts (OR=4.35 [2.76-6.83] for 6+ attempts compared to none) and among non-cigarette smokers (OR=0.51 [0.28-0.92]). Motivation to quit was inversely associated with nicotine dependence and positively associated with the number of previous quitting attempts and personal history of lung disease. CONCLUSION: Over two thirds of Swiss smokers want to quit. However, only a small fraction wishes to do so in the short term. Nicotine dependence, previous attempts to quit or previous history of lung disease are independently associated with difficulty and intention to quit.

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OBJECTIVES: Exercise combined with nicotine therapy may help smoking cessation and minimise weight gain after quitting. Low participation in vigorous-intensity physical activity programmes precludes their population-wide applicability. In a randomised controlled trial, we tested whether a population-based moderate-intensity physical activity programme increases quit rates among sedentary smokers receiving nicotine therapy. METHODS: Participants (n=481; 57% male; mean age, 42.2 years (SD 10.1); mean cigarette consumption, 27 (SD 10.2) per day) were offered a nine-week smoking cessation programme consisting of a weekly 15-minute counselling session and the prescription of nicotine replacement therapy. In addition, participants in the physical activity group (n=229) also took part in a programme of moderate-intensity physical activity implemented at the national level, and offering nine weekly 60-minute sessions of physical activity. To ensure equal contact conditions, participants in the control group (n=252) attended weekly 60-minute health behaviour education sessions unrelated to physical activity. The primary outcome was continuous CO-verified smoking abstinence rates at 1-year follow-up. RESULTS: Continuous smoking abstinence rates were high and similar in the physical activity group and the control group at the end of the intervention (47% versus 46%, p=0.81) and at 1-year follow-up (27% versus 29%, p=0.71). The mean weight gain after one year was 4.4 kg and 6.2 kg among sustained quitters of the physical activity and control groups, respectively (p=0.06). CONCLUSION: Participation in a population-based moderate-intensity physical activity programme for 9 weeks in addition to a comprehensive smoking cessation programme did not significantly increase smoking cessation rates. A non-significant reduction in weight gain was observed among participants who quit smoking in the physical activity group. TRIAL REGISTRATION: ClinicalTrials.gov; US National Institutes for Health (available online at http://clinicaltrials.gov/; CLINICAL TRIAL REGISTRATION NUMBER: NCT00521391).

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BACKGROUND: New ways of improving the efficacy of nicotine therapy need to be explored. We tested whether starting nicotine polacrilex gum treatment 4 weeks before the quit date improved smoking abstinence rates compared with starting treatment on the quit date. METHODS: An open randomized trial of 314 daily smokers (mean, 23.7 cigarettes/d) enrolled through the Internet and by physicians in Switzerland from November 2005 to January 2007. In the precessation treatment group, participants received nicotine polacrilex gum (4 mg, unflavored) by mail for 4 weeks before and 8 weeks after their target quit date, and they were instructed to decrease their cigarette consumption by half before quitting. In the usual care group, participants received the same nicotine gum for 8 weeks after their quit date and were instructed to quit abruptly. Instructions were limited to a booklet sent by mail and access to a smoking cessation Web site. Results are expressed as self-reported abstinence rates at the end of treatment and as biochemically verified smoking abstinence (cotinine plus carbon monoxide) after 12 months. RESULTS: Eight weeks after the target quit date, self-reported 4-week abstinence rates were 41.6% in the precessation treatment group and 44.4% in the usual care group (P = .61). One year after the target quit date, biochemically verified 4-week smoking abstinence rates were 20.8% in the precessation treatment group and 19.4% in the usual care group (P = .76). CONCLUSION: Starting nicotine gum treatment 4 weeks before the target quit date was no more effective than starting treatment on the quit date.

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AIMS: To estimate physical activity trajectories for people who quit smoking, and compare them to what would have been expected had smoking continued. DESIGN, SETTING AND PARTICIPANTS: A total of 5115 participants in the Coronary Artery Risk Development in Young Adults Study (CARDIA) study, a population-based study of African American and European American people recruited at age 18-30 years in 1985/6 and followed over 25 years. MEASUREMENTS: Physical activity was self-reported during clinical examinations at baseline (1985/6) and at years 2, 5, 7, 10, 15, 20 and 25 (2010/11); smoking status was reported each year (at examinations or by telephone, and imputed where missing). We used mixed linear models to estimate trajectories of physical activity under varying smoking conditions, with adjustment for participant characteristics and secular trends. FINDINGS: We found significant interactions by race/sex (P = 0.02 for the interaction with cumulative years of smoking), hence we investigated the subgroups separately. Increasing years of smoking were associated with a decline in physical activity in black and white women and black men [e.g. coefficient for 10 years of smoking: -0.14; 95% confidence interval (CI) = -0.20 to -0.07, P < 0.001 for white women]. An increase in physical activity was associated with years since smoking cessation in white men (coefficient 0.06; 95% CI = 0 to 0.13, P = 0.05). The physical activity trajectory for people who quit diverged progressively towards higher physical activity from the expected trajectory had smoking continued. For example, physical activity was 34% higher (95% CI = 18 to 52%; P < 0.001) for white women 10 years after stopping compared with continuing smoking for those 10 years (P = 0.21 for race/sex differences). CONCLUSIONS: Smokers who quit have progressively higher levels of physical activity in the years after quitting compared with continuing smokers.