956 resultados para Quit smoking


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Objective : The study aimed to measure changes in dining behaviour associated with the introduction of smoking restrictions on July 1, 2001, to describe strategies adopted by smokers and non-smokers to adapt to the changes, and to describe some of the thoughts, feelings and beliefs underlying the adaptations that people make in response to the introduction of new restrictions.

Method : Data were collected in a longitudinal study with repeated measures of a total of 257 respondents before and after the introduction of the restrictions, using a questionnaire administered via the Internet. Data collection occurred on seven occasions between April 2001 and March 2002. In addition, a series of in-depth telephone interviews was conducted among a group of 31 smokers and non-smokers, who were interviewed once before and twice after the introduction of the bans.

Results :
Dining patterns, dining frequency, restaurant choice and expenditure on a meal did not change among either smoking or non-smoking patrons following the introduction of the law. The majority of Victorians approved of smokefree dining legislation before its implementation, and agreement with the law increased sharply and significantly among both smokers and non-smokers immediately following the introduction of the policy, remaining at high levels for the duration of the study period.

Conclusions : These findings suggest there was rapid adaptation to and acceptance of the restrictions among both smokers and non-smokers, and are supported by evidence from other jurisdictions, both interstate and internationally, regarding the introduction of smokefree dining.

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Background: Risk prediction for CVD events has been shown to vary according to current smoking status, pack-years smoked over a lifetime, time since quitting and age at quitting. The latter two are closely and inversely related. It is not known whether the age at which one quits smoking is an additional important predictor of CVD events. The aim of this study was to determine whether the risk of CVD events varied according to age at quitting after taking into account current smoking status, lifetime pack-years smoked and time since quitting.
Findings.
We used the Cox proportional hazards model to evaluate the risk of developing a first CVD event for a cohort of participants in the Framingham Offspring Heart Study who attended the fourth examination between ages 30 and 74 years and were free of CVD. Those who quit before the median age of 37 years had a risk of CVD incidence similar to those who were never smokers. The incorporation of age at quitting in the smoking variable resulted in better prediction than the model which had a simple current smoker/non-smoker measure and the one that incorporated both time since quitting and pack-years. These models demonstrated good discrimination, calibration and global fit. The risk among those quitting more than 5 years prior to the baseline exam and those whose age at quitting was prior to 44 years was similar to the risk among never smokers. However, the risk among those quitting less than 5 years prior to the baseline exam and those who continued to smoke until 44 years of age (or beyond) was two and a half times higher than that of never smokers.
Conclusions:
Age at quitting improves the prediction of risk of CVD incidence even after other smoking measures are taken into account. The clinical benefit of adding age at quitting to the model with other smoking measures may be greater than the associated costs. Thus, age at quitting should be considered in addition to smoking status, time since quitting and pack-years when counselling individuals about their cardiovascular risk.

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OBJECTIVE: In 1991, the Victorian Smoking and Health Program introduced a simple intervention strategy for general practitioners that could be integrated conveniently and inexpensively into the routine care of patients who smoke. The aim of this study was to determine whether there had been a change over time in whether or not GPs advised their patients not to smoke. METHOD: The extent to which smokers remembered GPs talking to them about smoking was assessed in population-based surveys of adults in Victoria in 1990 (prior to the implementation of the intervention) and in 1992, 1994 and 1996. RESULTS: Over time there was a significant increase in the proportion of smokers who reported that their GP had provided them with help or information to stop smoking (chi 2 = 17.58, p < 0.001). In 1996, 9% of smokers said their doctor had advised them to contact Quit. CONCLUSION: Levels of recalled advice and provision of information regarding smoking cessation have increased by 10% over the past six years. However, nearly half the smokers in this study reported that they had been given inappropriate advice or no advice at all. IMPLICATIONS: A brief intervention by GPs, supplemented by appropriate referrals, has the potential to assist significant numbers of smokers to quit and may be more practical for GPs who are unable to personally provide all of the support smokers may need to quit.

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Background. Although the long-term success of implant treatment has been well- established, failures can still occur and the smoking habit has been reported as a risk factor for implant loss. A literature review on the effects of smoking on the survival of dental implants was undertaken. Methods and Results. Medline database was used to carry out the review with the keywords “osseointegration”, “smoking” and “bone healing”. The cigarette has more than 4,000 bioactive chemical components with potential toxic effects to human tissues including bone. Nicotine is the main component of the cigarette and it is frequently associated with bone healing failures. Since smoking negatively affects the osseointegration of dental implants, the main target is to quit the consumption of cigarettes. Conclusion. Nevertheless, the smoking habit should not be an absolute contraindication for implant treatment, but, patients should be advised that they are at a greater risk of implant failure.

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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.

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INTRODUCTION: Cigarette smoking during pregnancy is associated with poor maternal and child health outcomes. Effective interventions to increase smoking cessation rates are needed particularly for pregnant women unable to quit in their first trimester. Real-time ultrasound feedback focused on potential effects of smoking on the fetus may be an effective treatment adjunct, improving smoking outcomes. METHODS: A prospective randomized trial was conducted to evaluate the efficacy of a smoking cessation intervention consisting of personalized feedback during ultrasound plus motivational interviewing-based counseling sessions. Pregnant smokers (N = 360) between 16 and 26 weeks of gestation were randomly assigned to one of three groups: Best Practice (BP) only, Best Practice plus ultrasound feedback (BP+US), or Motivational Interviewing-based counseling plus ultrasound feedback (MI+US). Assessments were conducted at baseline and end of pregnancy (EOP). RESULTS: Analyses of cotinine-verified self-reported smoking status at EOP indicated that 10.8% of the BP group was not smoking at EOP; 14.2% in the BP+US condition and 18.3% who received MI+US were abstinent, but differences were not statistically significant. Intervention effects were found conditional upon level of baseline smoking, however. Nearly 34% of light smokers (< or =10 cigarettes/day) in the MI+US condition were abstinent at EOP, followed by 25.8% and 15.6% in the BP+US and BP conditions, respectively. Heavy smokers (>10 cigarettes/day) were notably unaffected by the intervention. DISCUSSION: Future research should confirm benefit of motivational interviewing plus ultrasound feedback for pregnant light smokers and explore mechanisms of action. Innovative interventions for pregnant women smoking at high levels are sorely needed.

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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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AIMS: To investigate pathways through which momentary negative affect and depressive symptoms affect risk of lapse during smoking cessation attempts. DESIGN: Ecological momentary assessment was carried out during 2 weeks after an unassisted smoking cessation attempt. A 3-month follow-up measured smoking frequency. SETTING: Data were collected via mobile devices in German-speaking Switzerland. PARTICIPANTS: A total of 242 individuals (age 20-40, 67% men) reported 7112 observations. MEASUREMENTS: Online surveys assessed baseline depressive symptoms and nicotine dependence. Real-time data on negative affect, physical withdrawal symptoms, urge to smoke, abstinence-related self-efficacy and lapses. FINDINGS: A two-level structural equation model suggested that on the situational level, negative affect increased the urge to smoke and decreased self-efficacy (β = 0.20; β = -0.12, respectively), but had no direct effect on lapse risk. A higher urge to smoke (β = 0.09) and lower self-efficacy (β = -0.11) were confirmed as situational antecedents of lapses. Depressive symptoms at baseline were a strong predictor of a person's average negative affect (β = 0.35, all P < 0.001). However, the baseline characteristics influenced smoking frequency 3 months later only indirectly, through influences of average states on the number of lapses during the quit attempt. CONCLUSIONS: Controlling for nicotine dependence, higher depressive symptoms at baseline were associated strongly with a worse longer-term outcome. Negative affect experienced during the quit attempt was the only pathway through which the baseline depressive symptoms were associated with a reduced self-efficacy and increased urges to smoke, all leading to the increased probability of lapses.

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Over the past decade there has been a growing interest in the association between spirituality and health outcomes. Little is known about the role of spirituality among adult smokers who are motivated to stop smoking. The purpose of this dissertation is to examine the relations among immutable individual differences, spirituality, and self efficacy among adults motivated to stop smoking. The first paper of this dissertation systematically reviewed literature to measure the concordance between spirituality and smoking status among adults in the United States. The second paper of this dissertation explored the association between spirituality and smoking cessation. We hypothesized that higher levels of spirituality were positively associated with smoking cessation. The third paper of this dissertation examined the association between perceived self efficacy and spirituality. We hypothesized that both high levels of self efficacy and spirituality were positively associated with smoking cessation.^ A total of 152 citations were identified based on the preliminary search of databases and reference lists. After a preliminary title- and abstract-based review, 17 full text articles were retrieved for further assessment. Of these, eight met the criteria for inclusion. Results of the systematic review suggest that there is inconsistent evidence to support or refute an association between spirituality and smoking status among adults.^ Smokers (N = 200) at least 18 years of age enrolled in a minimal contact smoking cessation intervention in Houston, Texas completed questionnaires. To examine our hypotheses we conducted cross-sectional analyses of responses to questions included in selected baseline questions and the final in-person visit three weeks post-quit day. Results of the logistic regression analyses indicated that individuals with higher levels of spirituality and self efficacy were significantly more likely to abstain from smoking. The positive association is also evident when controlling for employment, income, race, education, and nicotine dependence. The interaction between self efficacy and spirituality was not statistically significant in predicting smoking abstinence.^ Recommendations for future research and implications for smoking cessation interventions are discussed. Further research in this area would benefit from using standard measures of abstinence, recruiting larger and more diverse populations, and using longitudinal study designs.^

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Introduction: Self-help computer-based programs are easily accessible and cost-effective interventions with a great recruitment potential. However, each program is different and results of meta-analyses may not apply to each new program; therefore, evaluations of new programs are warranted. The aim of this study was to assess the marginal efficacy of a computer-based, individually tailored program (the Coach) over and above the use of a comprehensive Internet smoking cessation website. Methods: A two-group randomized controlled trial was conducted. The control group only accessed the website, whereas the intervention group received the Coach in addition. Follow-up was conducted by e-mail after three and six months (self-administrated questionnaires). Of 1120 participants, 579 (51.7%) responded after three months and 436 (38.9%) after six months. The primary outcome was self-reported smoking abstinence over four weeks. Results: Counting dropouts as smokers, there were no statistically significant differences between intervention and control groups in smoking cessation rates after three months (20.2% vs. 17.5%, p¼0.25, odds ratio (OR)¼1.20) and six months (17% vs. 15.5%, p¼0.52, OR¼1.12). Excluding dropouts from the analysis, there were statistically significant differences after three months (42% vs. 31.6%, p¼0.01, OR¼1.57), but not after six months (46.1% vs. 37.8%, p¼0.081, OR¼1.41). The program also significantly increased motivation to quit after three months and self-efficacy after three and six months. Discussion: An individually tailored program delivered via the Internet and by e-mail in addition to a smoking cessation website did not significantly increase smoking cessation rates, but it increased motivation to quit and self-efficacy.

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Background. Although smoking cessation programs significantly reduce smoking rates in the general population, some sectors are poorly motivated by them, especially healthy men from lower socioeconomic classes. Methods. By using a significant life event (approaching birth of a child) we exploited a time of increased receptiveness to smoking cessation influences. A multicomponent intervention was conducted and evaluated using a stratified, randomised control trial, with an intention to treat analysis. Results. Five hundred and sixty-one men were enrolled and 505 (90%) followed to the end of their partners' pregnancy. At 6-month follow-up 16.5% of 291 smokers of the intervention group and 9.3% of 270 in the control group reported they had stopped smoking (P = 0.011, OR = 0.52, 95% CI 0.31 - 0.86). The strongest predictors of smoking cessation were being in a skilled occupation, having a higher number of quit attempts in the previous year and having the first cigarette of the day relatively later. Conclusions. The number of smoking men who had to be treated to achieve one stopping smoking (NNT) during their partner's pregnancy was 13 to 14. Innovative antismoking population health measures for the partners of antenatal patients are effective and perhaps should be more widely adopted. (C) 2003 American Health Foundation and Elsevier Inc. All rights reserved.

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The role of fatherhood in family life has been accentuated as a consequence of societal change. This change, combined with knowledge about the harmful consequences of passive smoking, has focused attention on males who smoke and are the partners of pregnant women. Of particular interest are low socio-economic groups because of their higher smoking rates. This study examines smoking and parenting in a sample of 561 males in semi-skilled and unskilled occupations (with pregnant partners) who were recruited into a self-help smoking cessation programme. Parenting related variables predicted smoking cessation, particularly knowledge about passive smoking. A high level of knowledge about the effects of passive smoking on a baby was associated with one or more quit attempts early in the partner's pregnancy and smoking cessation. Confidence to quit during the pregnancy was also associated with smoking cessation. These results could be incorporated into smoking cessation and antenatal programmes to improve the health of families.

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This paper briefly explains why it would be unwise to use genetic and neurobiological knowledge to prevent cigarette smoking and tobacco-related disease. However implausible these uses may seem to those who are well informed about the genetics of tobacco use or tobacco-control policy, it is the preventive uses of genetic information and nicotine vaccines that most excite the interest of the media and the public. The major challenges that these approaches face need to be widely understood if we are to prevent these superfi cially attractive but controversial uses from undermining effective control policies and the development of better methods of helping smokers to quit.

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Study objectives: Smoking cessation for current smokers is a health-care imperative. It is not clear which approaches to smoking cessation are the most effective in the hospital setting and which factors predict long-term abstinence. We hypothesized that a hospital-based smoking cessation program involving behavioral modification and support would provide an effective intervention for smoking cessation. Design: Prospective cohort study. Setting: Smoking cessation clinics in a tertiary referral, cardiothoracic hospital. Patients or participants: Two hundred forty-three smokers and 187 never-smoker control subjects. Interventions: Smokers underwent specific sessions of individual counseling on behavioral modification, including written information, advice about quit aids, and support during the quit attempt. Abstinence was confirmed by exhaled carbon monoxide measurements. Measurements and results: Compared to never-smoker control subjects, smokers were more likely to have grown up with a smoking father or siblings, and to currently live or socialize with other smokers. Two hundred sixteen smokers attended at least two sessions of the smoking cessation program. Of these, 25% were unavailable for follow-up at 12 months and were assumed to be smoking. The point prevalence abstinence rate at 12 months was 32%. Independent factors associated with abstinence at 12 months were self-belief in quitting ability, having a heart condition, growing up without siblings who smoked, and increasing number of pack-years. Conclusions: This prospective study has demonstrated that this hospital-based smoking cessation program was as effective as programs in other settings. Social and psychological factors were associated with a greater chance of abstinence.

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Objective: To describe the characteristics [of self-described 'occasional' and 'social' Australian smokers. Design: Analysis of a national cross-sectional survey of smoking patterns, conducted in Australia in 2004. Setting and participants: Australian adults in 2004 who responded to a survey question about self-described smoking status. Main outcome measures: Demographic characteristics, patterns of alcohol and tobacco use, smoking cessation attempts in the past year, and interest in cessation. Results: Smokers who described themselves as 'occasional' and 'social' smokers comprised 29% of all smokers. A significant proportion of occasional and social smokers had been daily smokers, but the majority either believed that they had 'already quit' or had no intention of quitting smoking. Conclusions: Self-ascribed occasional and social smokers potentially represent an important target group for cessation. These types of smokers may be more resistant to public health messages regarding cessation because they do not view their smoking behaviour as presenting a high risk.