Buscador de vehicles in House

Aplicació creada per ser utilitzada en una empresa d'automoció per a la localització de vehicles dins de la factoria.

Association of smoking and nicotine dependence with pre-diabetes in young and healthy adults.

INTRODUCTION: Several studies have shown an increased risk of type 2 diabetes among smokers. Therefore, the aim of this analysis was to assess the relationship between smoking, cumulative smoking exposure and nicotine dependence with pre-diabetes. METHODS: We performed a cross-sectional analysis of healthy adults aged 25-41 in the Principality of Liechtenstein. Individuals with known diabetes, Body Mass Index (BMI) >35 kg/m² and prevalent cardiovascular disease were excluded. Smoking behaviour was assessed by self-report. Pre-diabetes was defined as glycosylated haemoglobin between 5.7% and 6.4%. Multivariable logistic regression models were done. RESULTS: Of the 2142 participants (median age 37 years), 499 (23.3%) had pre-diabetes. There were 1,168 (55%) never smokers, 503 (23%) past smokers and 471 (22%) current smokers, with a prevalence of pre-diabetes of 21.2%, 20.9% and 31.2%, respectively (p <0.0001). In multivariable regression models, current smokers had an odds ratio (OR) of pre-diabetes of 1.82 (95% confidential interval (CI) 1.39; 2.38, p <0.0001). Individuals with a smoking exposure of <5, 5-10 and >10 pack-years had an OR (95% CI) for pre-diabetes of 1.34 (0.90; 2.00), 1.80 (1.07; 3.01) and 2.51 (1.80; 3.59) (p linear trend <0.0001) compared with never smokers. A Fagerström score of 2, 3-5 and >5 among current smokers was associated with an OR (95% CI) for pre-diabetes of 1.27 (0.89; 1.82), 2.15 (1.48; 3.13) and 3.35 (1.73; 6.48) (p linear trend <0.0001). DISCUSSION: Smoking is strongly associated with pre-diabetes in young adults with a low burden of smoking exposure. Nicotine dependence could be a potential mechanism of this relationship.

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.

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.

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.

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.

Cancer risk in the Swiss HIV Cohort Study: associations with immunodeficiency, smoking, and highly active antiretroviral therapy.

BACKGROUND: Persons infected with human immunodeficiency virus (HIV) have an increased risk for several cancers, but the influences of behavioral risk factors, such as smoking and intravenous drug use, and highly active antiretroviral therapy (HAART) on cancer risk are not clear. METHODS: Patient records were linked between the Swiss HIV Cohort Study and Swiss cantonal cancer registries. Observed and expected numbers of incident cancers were assessed in 7304 persons infected with HIV followed for 28,836 person-years. Relative risks for cancer compared with those for the general population were determined by estimating cancer registry-, sex-, age-, and period-standardized incidence ratios (SIRs). RESULTS: Highly elevated SIRs were confirmed in persons infected with HIV for Kaposi sarcoma (KS) (SIR = 192, 95% confidence interval [CI] = 170 to 217) and non-Hodgkin lymphoma (SIR = 76.4, 95% CI = 66.5 to 87.4). Statistically significantly elevated SIRs were also observed for anal cancer (SIR = 33.4, 95% CI = 10.5 to 78.6); Hodgkin lymphoma (SIR = 17.3, 95% CI = 10.2 to 27.4); cancers of the cervix (SIR = 8.0, 95% CI = 2.9 to 17.4); liver (SIR = 7.0, 95% CI = 2.2 to 16.5); lip, mouth, and pharynx (SIR = 4.1, 95% CI = 2.1 to 7.4); trachea, lung, and bronchus (SIR = 3.2, 95% CI = 1.7 to 5.4); and skin, nonmelanomatous (SIR = 3.2, 95% CI = 2.2 to 4.5). In HAART users, SIRs for KS (SIR = 25.3, 95% CI = 10.8 to 50.1) and non-Hodgkin lymphoma (SIR = 24.2, 95% CI = 15.0 to 37.1) were lower than those for nonusers (KS SIR = 239, 95% CI = 211 to 270; non-Hodgkin lymphoma SIR = 99.3, 95% CI = 85.8 to 114). Among HAART users, however, the SIR (although not absolute numbers) for Hodgkin lymphoma (SIR = 36.2, 95% CI = 16.4 to 68.9) was comparable to that for KS and non-Hodgkin lymphoma. No clear impact of HAART on SIRs emerged for cervical cancer or non-acquired immunodeficiency syndrome-defining cancers. Cancers of the lung, lip, mouth, or pharynx were not observed among nonsmokers. CONCLUSION: In persons infected with HIV, HAART use may prevent most excess risk of KS and non-Hodgkin lymphoma, but not that of Hodgkin lymphoma and other non-acquired immunodeficiency syndrome-defining cancers. No cancers of the lip, mouth, pharynx, or lung were observed in nonsmokers.

Improved smoking cessation in smokers given ultrasound photographs of their own atherosclerotic plaques.

BACKGROUND: We examined whether making smokers aware that they had developed peripheral atherosclerosis would improve smoking cessation. METHODS: Smokers selected from the general population were randomly allocated to undergo high-resolution B-mode ultrasonography of their carotid and femoral arteries. All smokers received quit-smoking counseling. Smokers with > or =1 atherosclerotic plaque were given two photographs of a plaque with a relevant explanation. Quit rates were assessed by telephone 6 months later. RESULTS: Seventy-nine smokers did not undergo ultrasonography (A). Among the 74 smokers submitted to ultrasonography, 20 had no plaque (B) and 54 had > or =1 plaque (C). Quit rates were, respectively, 6.3, 5.0, and 22.2% in groups A, B, and C. Quit rates were higher in smokers submitted to ultrasonography (B + C vs A; P = 0.031) and in those receiving photographs (C vs A + B; P = 0.003). Smoking cessation was independently associated with intervention C (OR = 6.2; 95% CI = 1.8-21) and a white-collar job but not with age or gender. CONCLUSIONS: Providing smokers with photographs demonstrating atherosclerosis on their own person was an effective adjunct to physician's advice to quit smoking. Since ultrasonography is used increasingly often in clinical practice for cardiovascular risk stratification, this can provide an additional opportunity and means to deter smokers from smoking.

Predictors of Weight Change in Sedentary Smokers Receiving a Standard Smoking Cessation Intervention.

INTRODUCTION: Quitting smoking is associated with weight gain, which may threaten motivation to engage or sustain a quit attempt. The pattern of weight gained by smokers treated according to smoking cessation guidelines has been poorly described. We aimed to determine the weight gained after smoking cessation and its predictors, by smokers receiving individual counseling and nicotine replacement therapies for smoking cessation. METHODS: We performed an ancillary analysis of a randomized controlled trial assessing moderate physical activity as an aid for smoking cessation in addition to standard treatment in sedentary adult smokers. We used mixed longitudinal models to describe the evolution of weight over time, thus allowing us to take every participant into account. We also fitted a model to assess the effect of smoking status and reported use of nicotine replacement therapy at each time point. We adjusted for intervention group, sex, age, nicotine dependence, and education. RESULTS: In the whole cohort, weight increased in the first 3 months, and stabilized afterwards. Mean 1-year weight gain was 3.3kg for women and 3.9kg for men (p = .002). Higher nicotine dependence and male sex were associated with more weight gained during abstinence. Age over median was associated with continuing weight gain during relapse. There was a nonsignificant trend toward slower weight gain with use of nicotine replacement therapies. CONCLUSION: Sedentary smokers receiving a standard smoking cessation intervention experience a moderate weight gain, limited to the first 3 months. Older age, male sex, and higher nicotine dependence are predictors of weight gain.

Flex Fueled Vehicles Registered in Iowa

House File 2754 requires the Iowa Department of Transportation to deliver a report to the Governor and legislative service agency regarding flexible fueled vehicles registered in Iowa. The report shall include: 1. The number of flexible fuel vehicles according to year of manufacture; 2. the number of passenger vehicles according to year of manufacture; and 3. the number of light pickup trucks according to year of manufacture.

How important are tobacco prices in the propensity to start and quit smoking? An analysis of smoking histories from the Spanish National Health Survey

This paper analyses the effect of tobacco prices on the propensity tostart and quit smoking using a pool of the 1993, 1995 and 1997 editionsof the Spanish National Health Surveys. The estimates for severalparametric models of the hazard rate for starting and quitting suggestthat i) The public health measures applied as of 1992 have had asignificative effect on both reducing the hazard of starting andincreasing the hazard of quitting, ii) Prices have a very weak effect onthe hazard of starting in the male population and no significant effectin the female population, iii) The price floor of cigarrettes, proxiedby the average price of a pack of black cigarrettes, has a significanteffect on the quitting hazard which is robust across specifications andapplies to both men and women. The implied price elasticity of the timeup to quitting is situated around -1.4.