Daily smoking as a marker of weight control practices among female adolescents

Purpose: There is evidence indicating that adolescent females smoke as a way to control weight. The aim of our research is to assess whether daily smoking is a marker for weight control practices among adolescent females. Methods: Data were drawn from the 2002 Swiss Multicenter Adolescent Survey on Health (SMASH02) data base, a survey including 7,548 [3,838 females] in-school adolescents aged 16-20 years in Switzerland. Among females self-reporting BMI (N _ 3,761), two groups were drawn: daily smokers (DS, N _ 1,273) included all those smoking at least 1 cigarette/day and never smokers (NS, N _ 1,888) included all those having never smoked. Former (N _ 177) and occasional (N _ 423) smokers were not included. Groups were compared on weight control practices (being on a diet, self-induced vomiting, use of doctor-prescribed or over-the-counter appetite suppressors) controlling for possible confounding variables (age, BMI, feeling fat, body image, use of other substances, depression, sport practice, academic track and perceived advanced puberty). Analyses were performed with STATA 9. Bivariate analyses are presented as point-prevalence and multivariate analysis (using logistic regression) are presented as adjusted odds ratio (AOR) and [95% confidence interval]. Results: In the bivariate analysis, DS females were significantly more likely (p _ 0.001) than NS to be on a diet (DS: 33.2%, NS: 22.2%), to self-induce vomiting (DS: 9.0%, NS: 3.3%), and to use doctor prescribed (DS: 2.3%, NS: 0.9%) or over-the-counter (DS: 3.2%, NS: 1.2%) appetite suppressors. In the multivariate analysis, DS females were more likely than NS to be on a diet (AOR: 1.40 [1.17/1.68]), to self-induce vomiting (AOR: 2.07 [1.45/2.97]), and to use doctor-prescribed appetite suppressors (AOR: 1.99 [1.00/ 3.96]). Conclusions: Weight control practices are more frequent among female daily smokers than among never smokers. This finding seems to confirm cigarette smoking as a way to control weight among adolescent females. Health professionals should inquire adolescent female smokers about weight control practices, and this association must be kept in mind when discussing tobacco cessation options with adolescent females. Sources of Support: The SMASH02 survey was funded by the Swiss Federal Office of Public Health and the participating cantons.

A vaccine against nicotine for smoking cessation: a randomized controlled trial.

BACKGROUND: Tobacco dependence is the leading cause of preventable death and disabilities worldwide and nicotine is the main substance responsible for the addiction to tobacco. A vaccine against nicotine was tested in a 6-month randomized, double blind phase II smoking cessation study in 341 smokers with a subsequent 6-month follow-up period. METHODOLOGY/PRINCIPAL FINDINGS: 229 subjects were randomized to receive five intramuscular injections of the nicotine vaccine and 112 to receive placebo at monthly intervals. All subjects received individual behavioral smoking cessation counseling. The vaccine was safe, generally well tolerated and highly immunogenic, inducing a 100% antibody responder rate after the first injection. Point prevalence of abstinence at month 2 showed a statistically significant difference between subjects treated with Nicotine-Qbeta (47.2%) and placebo (35.1%) (P = 0.036), but continuous abstinence between months 2 and 6 was not significantly different. However, in subgroup analysis of the per-protocol population, the third of subjects with highest antibody levels showed higher continuous abstinence from month 2 until month 6 (56.6%) than placebo treated participants (31.3%) (OR 2.9; P = 0.004) while medium and low antibody levels did not increase abstinence rates. After 12 month, the difference in continuous abstinence rate between subjects on placebo and those with high antibody response was maintained (difference 20.2%, P = 0.012). CONCLUSIONS: Whereas Nicotine-Qbeta did not significantly increase continuous abstinence rates in the intention-to-treat population, subgroup analyses of the per-protocol population suggest that such a vaccination against nicotine can significantly increase continuous abstinence rates in smokers when sufficiently high antibody levels are achieved. Immunotherapy might open a new avenue to the treatment of nicotine addiction. TRIAL REGISTRATION: Swiss Medical Registry 2003DR2327; ClinicalTrials.gov NCT00369616.

Assessing tobacco dependence among cannabis users smoking cigarettes.

INTRODUCTION: This study examines the relationship between nicotine exposure and tobacco addiction among young smokers consuming either only tobacco or only tobacco and cannabis. METHODS: Data on tobacco and cannabis use were collected by a questionnaire among 313 adolescents and young adults in Western Switzerland between 2009 and 2010. In addition, a urine sample was used to determine urinary cotinine level. Nicotine addiction was measured using the Fagerström Test for Nicotine Dependence (FTND). In this study, we focused on a sample of 142 participants (mean age 19.54) that reported either smoking only tobacco cigarettes (CIG group, n = 70) or smoking both tobacco cigarettes and cannabis (CCS group, n = 72). RESULTS: The FTND did not differ significantly between CIG (1.96 ± 0.26) and CCS (2.66 ± 0.26) groups (p = 0.07). However, participants in the CCS group smoked more cigarettes (8.30 ± 0.79 vs. 5.78 ± 0.8, p = 0.03) and had a higher mean cotinine value (671.18 ± 67.6 vs. 404.32 ± 68.63, p = 0.008) than the CIG group. Further, the association between cotinine and FTND was much stronger among the CIG than among the CCS group (regression coefficient of 0.0031 vs. 0.00099, p < 0.0001). CONCLUSION: Adolescents smoking tobacco and cannabis cigarettes featured higher levels of cotinine than youth smoking only tobacco; however, there was no significant difference in the addiction score. The FTND score is intended to measure nicotine dependence from smoked tobacco cigarettes. Hence, to accurately determine nicotine exposure and the associated dependence among young smokers, it seems necessary to inquire about cannabis consumption.

Cannabis and tobacco use: where are the boundaries? A qualitative study on cannabis consumption modes among adolescents.

The purpose of this article is to identify tobacco and cannabis co-consumptions and consumers' perceptions of each substance. A qualitative research including 22 youths (14 males) aged 15-21 years in seven individual interviews and five focus groups. Discussions were recorded, transcribed verbatim and transferred to Atlas.ti software for narrative analysis. The main consumption mode is cannabis cigarettes which always mix cannabis and tobacco. Participants perceive cannabis much more positively than tobacco, which is considered unnatural, harmful and addictive. Future consumption forecasts thus more often exclude tobacco smoking than cannabis consumption. A substitution phenomenon often takes place between both substances. Given the co-consumption of tobacco and cannabis, in helping youths quit or decrease their consumptions, both substances should be taken into account in a global approach. Cannabis consumers should be made aware of their tobacco use while consuming cannabis and the risk of inducing nicotine addiction through cannabis use, despite the perceived disconnect between the two substances. Prevention programs should correct made-up ideas about cannabis consumption and convey a clear message about its harmful consequences. Our findings support the growing evidence which suggests that nicotine dependence and cigarette smoking may be induced by cannabis consumption.

Improved health of hospitality workers after a Swiss cantonal smoking ban.

QUESTIONS UNDER STUDY: Hospitality workers are a population particularly at risk from the noxious effects of environmental tobacco smoke (ETS). The Canton of Vaud, Switzerland banned smoking in public places in September 2009. This prospective study addresses the impact of the ban on the health of hospitality workers. METHODS: ETS exposure was evaluated using a passive sampling device that measures airborne nicotine; lung function was assessed by spirometry; health-related quality of life, ETS exposure symptoms and satisfaction were measured by questionnaire. RESULTS: 105 participants (smokers and non-smokers) were recruited initially and 66 were followed up after one year. ETS exposure was significantly lower after the ban. Hospitality workers had lower pre-ban forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) values than expected. FEV1 remained stable after the ban, with a near-significant increase in the subgroup of asthmatics only. FVC increased at one year follow-up from 90.42% to 93.05% (p = 0.02) in the entire cohort; women, non-smokers and older participants gained the greatest benefit. The health survey showed an increase in physical wellbeing after the ban, the greatest benefit being observed in non-smokers. ETS exposure symptoms were less frequent after the ban, especially red and irritated eyes and sneezing. The new law was judged useful and satisfactory by the vast majority of employees, including smokers. CONCLUSION: The recent cantonal ban on smoking in public places brought about an improvement in lung function, physical well-being and ETS symptoms of hospitality workers, including smokers.

Use of nicotine substitute prescribed at hourly plus ad libitum intake or ad libitum for heavy smokers willing to quit : a randomized controlled trial

Rapport de synthèse : l .Objectif Evaluer l'effet qu'ont les consignes d'utilisation régulière d'un spray nasal à la nicotine sur leur véritable utilisation durant les 3 premières semaines d'un sevrage tabagique. Un objectif secondaire est d'évaluer l'effet des consignes d'utilisation régulière du spray durant les premières semaines de sevrage tabagique sur le taux de succès à 6 mois par rapport à un groupe pouvant utiliser le spray « ad libitum ». 2. Méthode II s'agit d'une étude ouverte, randomisée contrôlée, incluant 50 patients présentant une dépendance nicotinique forte, se trouvant en phase de préparation selon le modèle transthéorique du changement de Prochaska et Di Clemente, recrutés au sein de la consultation «stop tabac » de la Policlinique Médicale Universitaire de Lausanne. Dans le groupe «contrôle », les patients ont été instruits à utiliser le spray « ad libitum », soit dès qu'apparaissaient des envies irrésistibles de fumer, tandis que le groupe «intervention » a reçu pour consigne d'utiliser le spray au moins 1 fois par heure dès le lever, voire plus en cas d'envie de fumer. L'utilisation du spray nasal a été enregistrée par un dispositif électronique fixé sur le spray (MDILogTM) durant les 3 premières semaines d'utilisation. Durant le suivi, l'abstinence tabagique a été vérifiée par une mesure du taux de CO expiré par un appareil spécifique (Bedfont Smokerlyzer). L'abstinence tabagique a été considérée comme un succès si le taux de CO était s 10 ppm (particules par million). 3. Résultats Un patient a été perdu durant le suivi. Au moment de la randomisation, le groupe «intervention » comprenait plus de femmes, des patients ayant un nombre plus grand de précédentes tentatives d'arrêt du tabagisme, plus de co-morbidités psychiatriques, mais moins de co-morbidités somatiques que le groupe «contrôle ». Dans les 2 groupes, les participants ont utilisé le spray nasal plus de 8 fois par jour (minimum demandé dans le groupe intervention). L'utilisation moyenne du spray était de 13,6 doses/jour pour le groupe «intervention » et de 1 l,l doses/jour pour le groupe contrôle. Ajusté aux différences entre les 2 groupes, la différence entre les doses plus importantes utilisées dans le groupe «intervention »par rapport à celles du groupe « ad libitum »reste non significative durant la première (0.8 ; CI 95% -5.1 ; 6,7), la deuxième (4.0 ; CI 95% -1.9 ; 9.9) et la troisième semaine (3.0 ; CI 95% -2.5 ; 8.5). De même, le fait d'instruire le patient à utiliser chaque heure le spray nasal durant les premières semaines n'a pas eu d'impact sur le taux de succès à 6 mois (RR = 0.69 ; CI 95% 0.34 ; 1.39). 4. Conclusions Cette étude négative montre que les différences d'utilisation du spray nasal nicotinique sont plus dépendantes des caractéristiques individuelles du patient que des recommandations d'utilisation du thérapeute. Les patients présentant un syndrome de dépendance à la nicotine forte utilisent spontanément de manière importante le spray nasal nicotinique, indépendamment des recommandations données. Pour les patients présentant un syndrome de dépendance à la nicotine forte, les recommandations par le thérapeute d'utiliser le spray nasal dès l'apparition d'envies de fumer semblent être la manière de faire la plus adéquate.

Association between smoking and total energy expenditure in a multi-country study.

BACKGROUND: The association between smoking and total energy expenditure (TEE) is still controversial. We examined this association in a multi-country study where TEE was measured in a subset of participants by the doubly labeled water (DLW) method, the gold standard for this measurement. METHODS: This study includes 236 participants from five different African origin populations who underwent DLW measurements and had complete data on the main covariates of interest. Self-reported smoking status was categorized as either light (<7 cig/day) or high (≥7 cig/day). Lean body mass was assessed by deuterium dilution and physical activity (PA) by accelerometry. RESULTS: The prevalence of smoking was 55% in men and 16% in women with a median of 6.5 cigarettes/day. There was a trend toward lower BMI in smokers than non-smokers (not statistically significant). TEE was strongly correlated with fat-free mass (men: 0.70; women: 0.79) and with body weight (0.59 in both sexes). Using linear regression and adjusting for body weight, study site, age, PA, alcohol intake and occupation, TEE was larger in high smokers than in never smokers among men (difference of 298 kcal/day, p = 0.045) but not among women (162 kcal/day, p = 0.170). The association became slightly weaker in men (254 kcal/day, p = 0.058) and disappeared in women (-76 kcal/day, p = 0.380) when adjusting for fat-free mass instead of body weight. CONCLUSION: There was an association between smoking and TEE among men. However, the lack of an association among women, which may be partly related to the small number of smoking women, also suggests a role of unaccounted confounding factors.

Impact of a smoking ban in hospitality venues on second hand smoke exposure: a comparison of exposure assessment methods

BACKGROUND: In May 2010, Switzerland introduced a heterogeneous smoking ban in the hospitality sector. While the law leaves room for exceptions in some cantons, it is comprehensive in others. This longitudinal study uses different measurement methods to examine airborne nicotine levels in hospitality venues and the level of personal exposure of non-smoking hospitality workers before and after implementation of the law. METHODS: Personal exposure to second hand smoke (SHS) was measured by three different methods. We compared a passive sampler called MoNIC (Monitor of NICotine) badge, to salivary cotinine and nicotine concentration as well as questionnaire data. Badges allowed the number of passively smoked cigarettes to be estimated. They were placed at the venues as well as distributed to the participants for personal measurements. To assess personal exposure at work, a time-weighted average of the workplace badge measurements was calculated. RESULTS: Prior to the ban, smoke-exposed hospitality venues yielded a mean badge value of 4.48 (95%-CI: 3.7 to 5.25; n = 214) cigarette equivalents/day. At follow-up, measurements in venues that had implemented a smoking ban significantly declined to an average of 0.31 (0.17 to 0.45; n = 37) (p = 0.001). Personal badge measurements also significantly decreased from an average of 2.18 (1.31-3.05 n = 53) to 0.25 (0.13-0.36; n = 41) (p = 0.001). Spearman rank correlations between badge exposure measures and salivary measures were small to moderate (0.3 at maximum). CONCLUSIONS: Nicotine levels significantly decreased in all types of hospitality venues after implementation of the smoking ban. In-depth analyses demonstrated that a time-weighted average of the workplace badge measurements represented typical personal SHS exposure at work more reliably than personal exposure measures such as salivary cotinine and nicotine.

Official Positions for FRAX® clinical regarding smoking from Joint Official Positions Development Conference of the International Society for Clinical Densitometry and International Osteoporosis Foundation on FRAX®.

The worldwide prevalence of smoking has been estimated at about 50% in men, and 10% in women, with larger variations among different populations studied. Smoking has been shown to affect many organ systems resulting in severe morbidity and increased mortality. In addition, smoking has been identified as a predictor of ten-year fracture risk in men and women, largely independent of an individual's bone mineral density. This finding has eventually lead to incorporation of this risk factor into FRAX®, an algorithm that has been developed to calculate an individual's ten-year fracture risk. However, only little, or conflicting data is available on a possible association between smoking dose, duration, length of time after cessation, type of tobacco and fracture risk, limiting this risk factor's applicability in the context of FRAX®.

Relationship between cigarette smoking and abdominal obesity

BACKGROUND: Although smokers tend to have a lower body-mass index (BMI) than non-smokers, smoking may affect body fat (BF) distribution. Some studies have assessed the association between smoking, BMI and waist circumference (WC), but, to our knowledge, no population-based studies assessed the relation between smoking and BF composition. We assessed the association between amount of cigarette smoking, BMI, WC and BF composition. METHODS: Data was analysed from a cross-sectional population-based study including 6187 Caucasians aged 32-76 and living in Switzerland. Height, weight and WC were measured. BF, expressed in percent of total body weight, was measured by electrical bioimpedance. Obesity was defined as a BMI>=30 kg/m2 and normal weight as a BMI<25 kg/m2. Abdominal obesity was defined as a WC>=102 cm for men and >=88 cm for women and normal WC as <94 cm for men and <80 cm for women. In men, excess BF was defined as %BF >=28.1, 28.7, 30.6 and 32.6 for age groups 32-44, 45-54, 55-64 and 65-76, respectively; the corresponding values for women were 35.9, 36.5, 40.5 and 44.4. Cigarette smoking was assessed using a self-reported questionnaire. RESULTS: 29.3% of men and 25.0% of women were smokers. Prevalence of obesity, abdominal obesity, and excess of BF was 16.9% and 26.6% and 14.2% in men and 15.0%, 33.0% and 27.5% in women, respectively. Smokers had lower age-adjusted mean BMI, WC and percent of BF compared to non-smokers. However, among smokers,mean age-adjusted BMI,WC and BF increased with the number of cigarettes smoked per day: among light (1-10 cig/day), moderate (11-20) and heavy smokers (>20), mean +/-SE %BF was 22.4 +/−0.3, 23.1+/−0.3 and 23.5+/−0.4 for men, and 31.9+/−0.3, 32.6+/−0.3 and 32.9+/−0.4 for women, respectively. Mean WC was 92.9+/−0.6, 94.0+/−0.5 and 96.0+/−0.6 cm for men, and 80.2+/−0.5, 81.3+/−0.5 and 83.3+/−0.7 for women, respectively. Mean BMI was 25.7+/−0.2, 26.0+/−0.2, and 26.1+/−0.2 kg/m2 for men; and 23.6+/−0.2, 24.0+/−0.2 and 24.1+/−0.3 for women, respectively. Compared with light smokers, the age-adjusted odds ratio (95% Confidence Interval) for excess of BF was 1.04 (0.58 to 1.85) formoderatesmokers and 1.06 (0.57 to 1.99) for heavy smokers in men (p-trend = 0.9), and 1.35 (0.92 to 1.99) and 2.26 (1.38 to 3.72), respectively, in women (p-trend = 0.04). Odds ratio for abdominal obesity vs. normal WC was 1.32 (0.81 to 2.15) for moderate smokers and 1.95 (1.16 to 3.27) for heavy smokers in men (p-trend < 0.01), and 1.15 (0.79 to 1.69) and 2.36 (1.41 to 3.93) in women (p-trend = 0.03). Odds ratio for obesity vs. normal weight was 1.35 (0.76 to 2.41) for moderate smokers and 1.33 (0.71 to 2.49) for heavy smokers in men (p-trend = 0.9) and 0.78 (0.45 to 1.35) and 1.44 (0.73 to 2.85), in women (p-trend = 0.08). CONCLUSIONS: WC and BF were positively and dose-dependently associated with the number of cigarettes smoked per day in women, whereas onlyWC was dose dependently and significantly associated with the amount of cigarettes smoked per day in men. This suggests that heavy smokers, especially women, are more likely to have an excess of BF and to accumulate BF in the abdomen compared to lighter smokers.

Cigarette smoking and endometrial cancer risk: the modifying effect of obesity.

The objective of this study was to evaluate the association between cigarette smoking and endometrial cancer risk by investigating potential modifying effects of menopausal status, obesity, and exogenous hormones. We pooled data from three case-control studies with the same study design conducted in Italy and Switzerland between 1982 and 2006. Overall, 1446 incident endometrial cancers and 4076 hospital controls were enrolled. Odds ratios (OR) and 95% confidence intervals (CI) were estimated using logistic regression models, conditioned on study and centre, and adjusted for age, period of interview, age at menarche, parity, and body mass index. In comparison with never smokers, current smokers showed reduced endometrial cancer risk (OR: 0.80; 95% CI: 0.66-0.96), with a 28% decrease in risk for smoking >/=20 cigarettes/day. The association did not vary according to menopausal status, oral contraceptive use, or hormone replacement therapy. However, heterogeneity emerged according to body mass index among postmenopausal women, with obese women showing the greatest risk reduction for current smoking (OR: 0.47; 95% CI: 0.27-0.81). In postmenopausal women, obesity turned out to be an important modifier of the association between cigarette smoking and the risk of endometrial cancer. This finding calls for caution in interpreting the favorable effects of cigarette smoking, considering the toxic and carcinogenic effects of tobacco.