Treating tobacco use and dependence in clinical practice.

Physicians are in a unique position to advise smokers to quit by the ability to integrate the various aspects of nicotine dependence. This review provides an overview of the intervention strategies for smokers presented in a primary care setting. The strategies that are used for smoking cessation counselling differ according to the patient's readiness to quit. For smokers who do not intend to give up smoking, physicians should inform about tobacco use and the benefits of cessation. For smokers who are dissonant, physicians should use motivational strategies, such as discussing the barriers to successful cessation and their solutions. For smokers who are ready to quit, the physician should show strong support, help set a date to quit, prescribe pharmaceutical therapies for nicotine dependence, such as nicotine replacement therapy (i.e., gum, transdermal patch, nasal spray, mouth inhaler, lozenges, and micro and sublingual tablets) and/or bupropion (an atypical antidepressant thought to work by blocking the neural re-uptake of dopamine and/or noradrenaline), with instructions for use, and suggest behavioural strategies to prevent relapse. The efficacy of all of these pharmacotherapies is comparable, roughly doubling the cessation rates over control conditions.

Smoking cessation and the incidence of pre-diabetes and type 2 diabetes: a cohort study.

AIMS: Smoking cessation has been suggested to increase the short-term risk of type 2 diabetes mellitus (T2DM). This study aimed at assessing the association between smoking cessation and incidence of T2DM and impaired fasting glucose (IFG). METHODS: Data from participants in the CoLaus study, Switzerland, aged 35-75 at baseline and followed for 5.5years were used. Participants were classified as smokers, recent (≤5years), long-term (>5years) quitters, and non-smokers at baseline. Outcomes were IFG (fasting serum glucose (FSG) 5.6-6.99mmol/l) and T2DM (FSG ≥7.0mmol/l and/or treatment) at follow up. RESULTS: 3,166 participants (63% women) had normal baseline FSG, of whom 26.7% were smokers, 6.5% recent quitters, and 23.5% long-term quitters. During follow-up 1,311 participants (41.4%) developed IFG (33.6% women, 54.7% men) and 47 (1.5%) developed T2DM (1.1% women, 2.1% men). Former smokers did not have statistically significant increased odds of IFG compared with smokers after adjustment for age, education, physical activity, hypercholesterolemia, hypertension and alcohol intake, with OR of 1.29 [95% confidence interval 0.94-1.76] for recent quitters and 1.03 [0.84-1.27] for long-term quitters. Former smokers did not have significant increased odds of T2DM compared with smokers with multivariable-adjusted OR of 1.53 [0.58-4.00] for recent quitters and 0.64 [0.27-1.48] for long-term quitters. Adjustment for body-mass index and waist circumference attenuated the association between recent quitting and IFG (OR 1.07 [0.78-1.48]) and T2DM (OR 1.28 [0.48-3.40]. CONCLUSION: In this middle-aged population, smoking cessation was not associated with an increased risk of IFG or T2DM.

Smoking cessation and the incidence of pre-diabetes and type 2 diabetes : a cohort study

Le tabagisme est associé à un risque augmenté de développer un diabète de type 2. Arrêter de fumer devrait donc diminuer le risqué de diabète. Seulement, les études concernant le risque métabolique à l'arrêt du tabac sont discordantes. Par ailleurs, les effets métaboliques du tabac et de l'arrêt du tabac diffèrent probablement selon le sexe, avec notamment un effet différent du tabac sur la santé des femmes, et une prise pondérale plus importante à l'arrêt que chez les hommes. Notre étude vise à évaluer le risque métabolique à l'arrêt du tabac, chez les femmes et les homes séparément. Nous avons utilisé les données de l'étude de cohorte prospective CoLaus, qui évalue différents facteurs de risque cardiovasculaire chez des sujets choisis de manière aléatoire, dans la population Lausannoise entre 35 et 75 ans, suivis sur 5.5 ans en moyenne. Parmi ceux avec une glycémie à jeun normale au départ, nous avons divisé les participants en quatre groupes selon leur statut tabagique : non fumeurs, personnes ayant arrêté de fumer depuis plus de 5 ans, celles ayant arrêté depuis moins de 5 ans, et fumeurs actifs. Nous avons mesuré les incidences de glycémie à jeun altérée (5.6-6.99 mmol/l) et de diabète (glycémie à jeun ≥ 7 mmol/l et/ou traitement pour le diabète) durant le période de suivi, stratifiées par sexe. Puis le risque d'incidence de glycémie altérée et de diabète a été calculé avec trois niveaux d'ajustement pour les facteurs confondants pour un risque métabolique. Nous avons inclus 3166 participants, dont 63% de femmes. Au total, 26.3% étaient fumeurs, 6.5% ex-fumeurs depuis moins de 5 ans et 23.5% ex-fumeurs depuis plus de 5 ans. Durant le suivi, 1311 (41.4%) personnes ont développé une glycémie à jeun altérée (33.6% des femmes, 54.7% des homes), et 47 (1.5%) ont développé un diabète (1.1% des femmes, 2.1% des hommes). Les personnes ayant arrêté de fumer n'avait pas de risque significativement plus élevé de développer une glycémie à jeun altérée ou un diabète que les fumeurs, après ajustement pour l'âge, l'éducation, l'hypercholestérolémie, la prise d'alcool, l'activité physique, la prise de poids, le BMI initial et le BMI d'arrivée dans les différents modèles d'ajustement. L'analyse de l'interaction du sexe avec ces résultats est également négative. Les analyses de sensibilité ont montré que l'exclusion des personnes ayant changé de statut tabagique durant le suivi ne changeait pas ces résultats. Nous avons refait les analyses en incluant les participants ayant une glycémie altérée au début du suivi, mais le risque d'incidence de diabète n'est pas plus élevé chez les ex-fumeurs que chez les fumeurs non plus dans cette population. Sur demande d'un reviewer, nous avons également refait les analyses avec la glycémie en continue (valeurs de base et valeurs à 5.5 ans), et la glycémie moyenne n'était pas différente par groupe de tabagisme. En conclusion, dans cette population européenne d'âge moyen, avec une prévalence basse d'obésité et une prise de poids modérée durant le suivi, nous n'avons pas trouvé de risque significativement plus élevé de développer un diabète en arrêtant de fumer, et ce pour les deux sexes. L'arrêt du tabac doit donc être encouragé chez toutes les fumeuses et tous les fumeurs.

A pilot randomised, open, uncontrolled, clinical study of two dosages of St John's wort (Hypericum perforatum) herb extract (LI-160) as an aid to motivational/behavioural support in smoking cessation

There is an association between smoking and depression, yet the herbal antidepressant St John's wort (Hypericum perforatum L.: SJW) herb extract has not previously been investigated as an aid in smoking cessation. In this open, uncontrolled, pilot study, 28 smokers of 10 or more cigarettes per day for at least one year were randomised to receive SJW herb extract (LI-160) 300mg once or twice daily taken for one week before and continued for 3 months after a target quit date. In addition, all participants received motivational/behavioural support from a trained pharmacist. At 3 months, the point prevalence and continuous abstinence rates were both 18%, and at 12 months were 0%. Fifteen participants (54%) reported 23 adverse events up to the end of the 3-month follow-up period. There was no statistically significant difference in the frequency of adverse events for participants taking SJW once or twice daily (p > 0.05). Most adverse events were mild, transient and non-serious. This preliminary study has not provided convincing evidence that a SJW herb extract plus individual motivational/behavioural support is likely to be effective as an aid in smoking cessation. However, it may be premature to rule out a possible effect on the basis of a single, uncontrolled pilot study, and other approaches involving SJW extract may warrant investigation.

Attribution and the effects of expectancy: how beliefs can influence the experiences of smoking cessation

Research on smoking cessation has found consistencies and similarities during abstinence, but also that the specific signs and symptoms and their intensity vary greatly from individual to individual. One possible source of this variation is the cognitions associated with quitting. We investigated the experiences and associated cognitions in normal cessation by asking quitting smokers to rate their experiences on a questionnaire and to indicate the most likely reason for each experience. Statistical analyses confirmed that attributions to abstinence were significantly higher for increased negative experiences, and there were significantly more reattributions than would be found by chance for items associated with smoking abstinence. Significantly more attributions to abstinence were made by clinic attendees and significantly more attributions of negative experiences to abstinence were made by unaided quitters using self-help materials. These results can be interpreted in the context of attribution theory; quitters may use the cognitions available to them to attribute their negative experiences to quitting. Consequently, counsellors could use cognitive therapy to alter their clients' expectations and explanations of their experiences, and emphasise the positive outcomes of cessation. (C) 2002 Elsevier Science Ltd. All rights reserved.

Nasal and systemic inflammatory profile after short term smoking cessation

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Outcome of smoking cessation counselling of HIV-positive persons by HIV care physicians

OBJECTIVES: Smoking is the most prevalent modifiable risk factor for cardiovascular diseases among HIV-positive persons. We assessed the effect on smoking cessation of training HIV care physicians in counselling. METHODS: The Swiss HIV Cohort Study (SHCS) is a multicentre prospective observational database. Our single-centre intervention at the Zurich centre included a half day of standardized training for physicians in counselling and in the pharmacotherapy of smokers, and a physicians' checklist for semi-annual documentation of their counselling. Smoking status was then compared between participants at the Zurich centre and other institutions. We used marginal logistic regression models with exchangeable correlation structure and robust standard errors to estimate the odds of smoking cessation and relapse. RESULTS: Between April 2000 and December 2010, 11 056 SHCS participants had 121 238 semi-annual visits and 64 118 person-years of follow-up. The prevalence of smoking decreased from 60 to 43%. During the intervention at the Zurich centre from November 2007 to December 2009, 1689 participants in this centre had 6068 cohort visits. These participants were more likely to stop smoking [odds ratio (OR) 1.23; 95% confidence interval (CI) 1.07-1.42; P = 0.004] and had fewer relapses (OR 0.75; 95% CI 0.61-0.92; P = 0.007) than participants at other SHCS institutions. The effect of the intervention was stronger than the calendar time effect (OR 1.19 vs. 1.04 per year, respectively). Middle-aged participants, injecting drug users, and participants with psychiatric problems or with higher alcohol consumption were less likely to stop smoking, whereas persons with a prior cardiovascular event were more likely to stop smoking. CONCLUSIONS: An institution-wide training programme for HIV care physicians in smoking cessation counselling led to increased smoking cessation and fewer relapses.

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

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.

Distinct coping strategies differentially predict urge levels and lapses in a smoking cessation attempt

This study analysed mechanisms through which stress-coping and temptation-coping strategies were associated with lapses. Furthermore, we explored whether distinct coping strategies differentially predicted reduced lapse risk, lower urge levels, or a weaker association between urge levels and lapses during the first week of an unassisted smoking cessation attempt. Participants were recruited via the internet and mass media in Switzerland. Ecological momentary assessment (EMA) with mobile devices was used to assess urge levels and lapses. Online questionnaires were used to measure smoking behaviours and coping variables at baseline, as well as smoking behaviour at the three-month follow-up. The sample consisted of 243 individuals, aged 20 to 40, who reported 4199 observations. Findings of multilevel regression analyses show that coping was mainly associated with a reduced lapse risk and not with lower urge levels or a weaker association between urge levels and lapses. 'Calming down' and 'commitment to change' predicted a lower lapse risk and also a weaker relation between urge levels and lapses. 'Stimulus control' predicted a lower lapse risk and lower urge levels. Conversely, 'task-orientation' and 'risk assessment' were related to higher lapse risk and 'risk assessment' also to higher urge levels. Disengagement coping i.e. 'eating or shopping', 'distraction', and 'mobilising social support' did not affect lapse risk. Promising coping strategies during the initial stage of smoking cessation attempt are targeted directly at reducing the lapse risk and are characterised by engagement with the stressor or one's reactions towards the stressor and a focus on positive consequences instead of health risks.

Identifying Distinct Quitting Trajectories after an Unassisted Smoking Cessation Attempt: An Ecological Momentary Assessment Study

Objectives: This study aimed at identifying distinct quitting trajectories over 29 days after an unassisted smoking ces- sation attempt by ecological momentary assessment (EMA). In order to validate these trajectories we tested if they predict smoking frequency up to six months later. Methods: EMA via mobile phones was used to collect real time data on smoking (yes/no) after an unassisted quit attempt over 29 days. Smoking frequency one, three and six months after the quit attempt was assessed with online questionnaires. Latent class growth modeling was used to analyze the data of 230 self-quitters. Results: Four different quitting trajectories emerged: quitter (43.9%), late quitter (11.3%), returner (17%) and persistent smoker (27.8%). The quitting trajectories predicted smoking frequency one, three and six months after the quit attempt (all p < 0.001). Conclusions: Outcome after a smoking cessation attempt is better described by four distinct trajectories instead of a binary variable for abstinence or relapse. In line with the relapse model by Marlatt and Gordon, late quitter may have learned how to cope with lapses during one month after the quitting attempt. This group would have been allocated to the relapse group in traditional outcome studies.