The association between cigarettes smoking, cannabis use and alcohol consumption in a population of young men: results of a population-based survey.

BACKGROUND: Cigarette smoking is often initiated at a young age as well as other risky behaviors such as alcohol drinking, cannabis and other illicit drugs use. Some studies suggest that cigarette smoking may have an influence on other risky behaviors but little is known about the chronology of occurrence of those different habits. The aim of this study was to assess, by young men, what were the other risky behaviors associated with cigarette smoking and the joint prevalence and chronology of occurrence of those risky behaviors. METHODS: Cross-sectional analyses of a population-based census of 3526 young men attending the recruitment for the Swiss army, aged between 17 and 25 years old (mean age: 19 years old), who filled a self reported questionnaire about their alcohol, cigarettes, cannabis and other illicit drugs habits. Actual smoking was defined as either regular smoking (¡Ý1 cigarette/day, on every day) or occasional smoking, binge drinking as six or more drinks at least twice a month, at risk drinking as 21 drinks or more per week, recent cannabis use as cannabis consumption at least once during the last month, and use of illicit drugs as consumption once or more of illicit drugs other than cannabis. Age at begin was defined as age at first use of cannabis or cigarette smoking. RESULTS: In this population of young men, the prevalence of actual smoking was 51.2% (36.5% regular smoking, 14.6% occasionnal smoking). Two third of participamnts (60.1%) declared that they ever used cannabis, 25.2% reported a recent use of cannabis. 53.8% of participants had a risky alcohol consumption considered as either binge or at risk drinking. Cigarette smoking was significantly associated with recent cannabis use (Odds Ratio (OR): 3.85, 95% Confidence Interval (CI): 3.10- 4.77), binge drinking (OR: 3.48, 95% CI: 3.03-4.00), at risk alcohol drinking (OR: 4.04, 95% CI: 3.12-5.24), and ever use of illicit drugs (OR: 4.34, 95% CI: 3.54-5.31). In a multivariate logistic regression, odds ratios for smoking were increased for cannabis users (OR 3.10,, 95% CI: 2.48-3.88), binge drinkers (OR: 1.77, 95% CI: 1.44-2.17), at risk alcohol drinkers (OR 2.26, 95% CI: 1.52-3.36) and ever users of illicit drugs (OR: 1.56, 95% CI: 1.20-2.03). The majority of young men (57.3%) initiated smoking before cannabis and mean age at onset was 13.4 years old, whereas only 11.1% began to use cannabis before smoking cigarettes and mean age at onset was slightly older (14.4 years old). 31.6% started both cannabis and tobacco at the same age (15 years old). About a third of participants (30.5%) did have a cluster of risky behaviours (smoking, at risk drinking, cannabis use) and 11.0% did cumulate smoking, drinking, cannabis and ever use of illegal drugs. More than half of the smokers (59.6%) did cumulate cannabis use and at risk alcohol drinking whereas only 18.5% of non-smokers did. CONCLUSIONS: The majority of young smokers initiated their risky behaviors by first smoking and then by other psychoactive drugs. Smokers have an increased risk to present other risky behaviors such as cannabis use, at risk alcohol consumtion and illicit drug use compared to nonsmokers. Prevention by young male adults should focus on smoking and also integrate interventions on other risky behaviors.

Genetic variation at CHRNA5-CHRNA3-CHRNB4 interacts with smoking status to influence body mass index.

BACKGROUND: Cigarette smoking is associated with lower body mass index (BMI), and a commonly cited reason for unwillingness to quit smoking is a concern about weight gain. Common variation in the CHRNA5-CHRNA3-CHRNB4 gene region (chromosome 15q25) is robustly associated with smoking quantity in smokers, but its association with BMI is unknown. We hypothesized that genotype would accurately reflect smoking exposure and that, if smoking were causally related to weight, it would be associated with BMI in smokers, but not in never smokers. METHODS: We stratified nine European study samples by smoking status and, in each stratum, analysed the association between genotype of the 15q25 SNP, rs1051730, and BMI. We meta-analysed the results (n = 24 198) and then tested for a genotype × smoking status interaction. RESULTS: There was no evidence of association between BMI and genotype in the never smokers {difference per T-allele: 0.05 kg/m(2) [95% confidence interval (95% CI): -0.05 to 0.18]; P = 0.25}. However, in ever smokers, each additional smoking-related T-allele was associated with a 0.23 kg/m(2) (95% CI: 0.13-0.31) lower BMI (P = 8 × 10(-6)). The effect size was larger in current [0.33 kg/m(2) lower BMI per T-allele (95% CI: 0.18-0.48); P = 6 × 10(-5)], than in former smokers [0.16 kg/m(2) (95% CI: 0.03-0.29); P = 0.01]. There was strong evidence of genotype × smoking interaction (P = 0.0001). CONCLUSIONS: Smoking status modifies the association between the 15q25 variant and BMI, which strengthens evidence that smoking exposure is causally associated with reduced BMI. Smoking cessation initiatives might be more successful if they include support to maintain a healthy BMI.

Participation in a population-based physical activity programme as an aid for smoking cessation: a randomised trial.

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).

Passive smoking in babies: The BIBE Study (Brief Intervention in babies. Effectiveness)

Background: There is evidence that exposure to passive smoking in general, and in babies in particular, is an important cause of morbimortality. Passive smoking is related to an increased risk of pediatric diseases such as sudden death syndrome, acute respiratory diseases, worsening of asthma, acute-chronic middle ear disease and slowing of lung growth.The objective of this article is to describe the BIBE study protocol. The BIBE study aims to determine the effectiveness of a brief intervention within the context of Primary Care, directed to mothers and fathers that smoke, in order to reduce the exposure of babies to passive smoking (ETS).Methods/DesignCluster randomized field trial (control and intervention group), multicentric and open. Subject: Fathers and/or mothers who are smokers and their babies (under 18 months) that attend pediatric services in Primary Care in Catalonia.The measurements will be taken at three points in time, in each of the fathers and/or mothers who respond to a questionnaire regarding their baby's clinical background and characteristics of the baby's exposure, together with variables related to the parents' tobacco consumption. A hair sample of the baby will be taken at the beginning of the study and at six months after the initial visit (biological determination of nicotine). The intervention group will apply a brief intervention in passive smoking after specific training and the control group will apply the habitual care.Discussion: Exposure to ETS is an avoidable factor related to infant morbimortality. Interventions to reduce exposure to ETS in babies are potentially beneficial for their health. The BIBE study evaluates an intervention to reduce exposure to ETS that takes advantage of pediatric visits. Interventions in the form of advice, conducted by pediatric professionals, are an excellent opportunity for prevention and protection of infants against the harmful effects of ETS.

Determinants of smoking and cessation in older women

Résumé Introduction : Le tabagisme est le facteur de risque le plus important dans 7 des 14 premières causes de décès chez les personnes de plus de 65 ans. De nombreuses études ont démontré les bénéfices sur la santé d'un arrêt du tabagisme même à un âge avancé. Malgré cela, peu d'actions préventives sont entreprises dans cette population. Le but de ce travail est d'analyser les caractéristiques du tabagisme et de l'arrêt du tabagisme spécifiquement chez les fumeuses d'âge avancé afin de mieux les aider dans leur désir d'arrêter. Méthode : Nous avons évalué les caractéristiques tabagiques au sein d'une étude prospective de 7'609 femmes vivant en Suisse, âgées de plus de 70 ans et physiquement autonomes (étude Semof s'intéressant à la mesure de l'ostéoporose par ultrason osseux). Un questionnaire sur les habitudes tabagiques a été envoyé aux 486 fumeuses éligibles de la cohorte. Leurs stades de dépendance nicotinique et de motivation ont été évalués à l'aide respectivement des scores «Heavy Smoking Index» et « Prochaska ». Les participantes ayant cessé de fumer pendant le suivi ont été questionnées sur, les motivations, les raisons et les méthodes de leur arrêt. Résultats : 424 femmes ont retourné le questionnaire (taux de réponse de 87%) parmi lesquelles 372 ont répondu de façon complète permettant leur inclusion. L'âge moyen s'élevait à 74,5 ans. La consommation moyenne était de 12 cigarettes par jour, sur une moyenne de 51 ans avec une préférence pour les cigarettes dites « légères » ou « light ». Un peu plus de la moitié des participantes avait une consommation entre 1 et 10 cigarettes par jour et la grande majorité (78%) présentait un score de dépendance faible. Les raisons du tabagisme les plus fréquemment évoquées étaient la relaxation, le plaisir et l'habitude. Les principaux obstacles mentionnés : arrêter à un âge avancé n'a pas de bénéfice, fumer peu ou des cigarettes dites light n'a pas d'impact sur la santé et fumer n'augmente pas le risque d'ostéoporose. Le désir d'arrêter était positivement associé avec un début tardif du tabagisme, une éducation plutôt modeste et la considération que d'arrêter est difficile. Durant le suivi de 3 ans, 57 femmes sur 372 (15%) ont arrêté de-fumer avec succès. Le fait d'être une fumeuse occasionnelle (moins de 1 cigarette par jour) et de considérer que d'arrêter de fumer n'est pas difficile était associés à un meilleur taux d'arrêt du tabagisme. Seuls 11% des femmes ayant stoppé la cigarette signalaient avoir reçu des conseils de leur médecin. Conclusion : ces données illustrent le comportement tabagique spécifique des fumeuses d'âge avancé (consommation et dépendance plutôt faibles) et suggèrent que les interventions médicales pour l'aide à l'arrêt du tabagisme devraient intégrer ces caractéristiques. La volonté d'arrêter est associée à un niveau d'éducation plutôt modeste. Les obstacles les plus fréquemment mentionnés sont basés sur des appréciations erronées de l'impact du tabagisme sur la santé.

Nicotine gum treatment before smoking cessation: a randomized trial.

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.

Acceptance of an intended smoking ban in an alcohol dependence clinic.

Alcohol treatment professionals are often reluctant to address tobacco dependence in their patients or to implement smoke-free policies in inpatient treatment programs, fearing, among others, non-adherence to alcohol treatment. The aim of the present study was to evaluate the acceptance of an intended smoking ban in a specialized hospital for alcohol withdrawal. Fifteen of 54 patients reported that they would not begin or quit alcohol treatment if smoking were banned in the clinic, but only five would not begin or quit if nicotine replacement were available. The present study indicates that a non-smoking policy would be feasible in a Swiss alcohol clinic, without jeopardizing alcohol treatment adherence.

Conseit aux fumeurs: mise à jour épidémiologique et clinique [Smoking cessation intervention: 2006 update]

Recent Swiss reports confirmed that several chemical products added to cigarettes may increase the level of dependence and therefore the consumption of cigarettes. Observational studies demonstrated the association between smoking and type II diabetes, that smoking one to four cigarettes daily increases significantly the risk of disease and that the relative risk of breast cancer among non smoking women exposed to passive smoking is increased by 30%. The safety of nicotine replacement therapy for patients with cardiovascular disorders has been confirmed. Among new pharmacological approaches, varenicline, rimonabant, topiramate and nicotine vaccine all appear promising.

Smoking, prevalence of disease and health service utilization among the Swiss population.

The data of the 1981-83 Swiss National Health Survey "SOMIPOPS", based on a randomly selected sample of 4,235 individuals aged 20 or over representative of the whole Swiss population, were used to investigate the relation between smoking, prevalence of disease and frequency of health care utilization. The risks of several conditions, including hypertension, myocardial infarction and other heart diseases, asthma, tuberculosis and kidney disease were elevated among ex-smokers. The diseases showing elevated risks among current smokers and significantly positive dose-risk trends included acute bronchitis (relative risk, RR = 3.2 for heavy cigarette smokers vs never smokers), chronic bronchitis or lung emphysema (RR = 2.0), gastro-duodenal ulcer (RR = 1.8) and bone fractures (RR = 1.6). For respiratory conditions, the risk of pipe or cigar smokers was comparable to that of moderate cigarette smokers, whereas for ulcer (RR = 4.1) or fractures (RR = 2.0) the point estimates were even higher than for heavy cigarette smokers. Smokers tended to consult more frequently general practitioners, used more other outpatients services, and were more frequently admitted to hospital during the year preceding the interview. These effects were consistent across strata of age, socio-economic indicators, and persisted after allowance for major identified potential distorting factors. Thus, the results of this survey confirm that smoking is an important cause of morbidity and a major contributory factor to the use of health services.

Smoking and adolescence: Exploring tobacco consumption and related attitudes in three different age groups in Switzerland

The present study constitutes an investigation of tobacco consumption, related attitudes and individual differences in smoking or non-smoking behaviors in a sample of adolescents of different ages in the French-speaking part of Switzerland. We investigated three school-age groups (7th-grade, 9th-grade, and the second-year of high school) for differences in attitude and social and cognitive dimensions. We present both descriptive and inferential statistics. On an inferential level, we present a binary logistic regression-based model predicting risk of smoking. The resulting model most importantly suggests a strong relationship between smoking and alcohol consumption (both regular and sporadic). We interpret this result in terms of both the impact of the actual campaigns and the cognitive processes associated with adolescence.

Smoking trends in Switzerland, 1992-2007: a time for optimism?

Objective To assess trends in smoking status according to gender, age and educational level in the adult Swiss population. Methods Four national health interview surveys conducted between 1992 and 2007 in representative samples of the Swiss population. Results The prevalence of current smokers increased between 1992 and 1997, decreasing thereafter. In 2007, the prevalence of current smokers (32.0% of men and 23.8% of women) was lower than in 1992 (38.4% and 26.7%, respectively). Whereas the prevalence of current + former smoking decreased from 64.5% in 1992 to 59.3% in 2007 among men, it was similar among women during the same period (44.0% in 1992 and 43.9% in 2007). The prevalence of current + former smokers decreased from 47.2% in 1992 to 46.3% in 2007 in the lower education group (no education + primary), from 54.8% to 52.9% in subjects with secondary level education, and from 55.4% to 48.7% in subjects with university level education. The prevalence of current smokers decreased in all age groups. Finally, the amount of cigarette equivalents smoked per day decreased, but the amount of non-cigarette tobacco (alone or in combination with cigarettes) increased for both sexes. Conclusion The prevalence of smoking has been decreasing in the Swiss population, for both sexes and for most age groups and educational levels between 1992 and 2007. The health effects of the change in type of tobacco products consumed await further investigation.

Change in physical activity after smoking cessation: the Coronary Artery Risk Development in Young Adults (CARDIA) study.

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.

Cytochrome P450 1A2 activity and inducibility: impact of smoking, smoking cessation and genetic polymorphisms

Aims: Cytochrome P4501A2 (CYP1A2) is involved in the metabolism of severaldrugs (clozapine, olanzapine, theopylline, caffeine, etc) and is induced by smoking.This can result in decreased plasma levels of drugs metabolized by thisisoenzyme, causing a decrease in therapeutic response. After quitting smoking,increased plasma levels can lead to adverse effects of the concerned drugs, such asconfusion and seizures, described under clozapine treatment. The present studyaimed to examine the variation of CYP1A2 activity in a large group of smokersbefore and after smoking cessation. Moreover, we aimed to determine whethergenetic polymorphisms of CYP1A2 gene could influence the inducibility ofCYP1A2. Methods: CYP1A2 activity was determined by the paraxanthine/caffeineratio in 194 smokers and in 118 of them being abstinent during a 4-weekperiod. Participants were genotyped for CYP1A2*1F (rs762551), *1D(rs35694136) and *1C (rs2069514) polymorphisms. Results: Smokers had higherCYP1A2 activity (1.55-fold; p < 0.0001). Individual change of CYP1A2 activityafter smoking cessation ranged from 1.0-fold (no change) to 7.3-fold decreasedactivity. In five participants with low initial CYP1A2 activity, an increase wasobserved after smoking cessation. During smoking, CYP1A2*1F (p = 0.005), CYP1A2*1D (p = 0.014), the number of cigarettes/day (p = 0.012), contraceptives use(p < 0.001) and - 163A/- 2467T/- 3860G haplotype (p = 0.002) influencedCYP1A2 activity, while after quitting smoking, CYP1A2*1F (p = 0.017) and contraceptives(p = 0.05) did. No influence of CYP1A2 polymorphisms on the inducibilityof CYP1A2 was observed. Conclusion: Higher CYP1A2 activity wasmeasured in smokers, but with a large interindividual variability of its inductionby smoking. Careful clinical management with the help of therapeutic drug monitoringis therefore needed for patients receiving drugs which are metabolized byCYP1A2, who stop or start smoking. Unidentified genetic variations in theCYP1A2 gene and/or in other genes controlling CYP1A2 activity and other environmentalfactors could be responsible of the observed differences in CYP1A2enzymatic activity and inducibility.

Stratification by smoking status reveals an association of CHRNA5-A3-B4 genotype with body mass index in never smokers.

We previously used a single nucleotide polymorphism (SNP) in the CHRNA5-A3-B4 gene cluster associated with heaviness of smoking within smokers to confirm the causal effect of smoking in reducing body mass index (BMI) in a Mendelian randomisation analysis. While seeking to extend these findings in a larger sample we found that this SNP is associated with 0.74% lower body mass index (BMI) per minor allele in current smokers (95% CI -0.97 to -0.51, P = 2.00 × 10(-10)), but also unexpectedly found that it was associated with 0.35% higher BMI in never smokers (95% CI +0.18 to +0.52, P = 6.38 × 10(-5)). An interaction test confirmed that these estimates differed from each other (P = 4.95 × 10(-13)). This difference in effects suggests the variant influences BMI both via pathways unrelated to smoking, and via the weight-reducing effects of smoking. It would therefore be essentially undetectable in an unstratified genome-wide association study of BMI, given the opposite association with BMI in never and current smokers. This demonstrates that novel associations may be obscured by hidden population sub-structure. Stratification on well-characterized environmental factors known to impact on health outcomes may therefore reveal novel genetic associations.