82 resultados para Quitting
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The empirical analysis employs individual level data from the Australian Health Survey combined with retrospective data on tobacco price matched to the age at which the individual started and quit smoking. Split-population hazard models are estimated for both starting and quitting smoking. The analysis suggests price plays a significant role in the decision to start smoking but not in the decision to quit. Further sensitivity analysis of different age groups and an alternative data source, questions the robustness of the significant role of price in the smoking initiation decision. From a policy perspective, the results indicate that increases in tobacco taxation can be an important instrument in reducing the incidence of smoking, but should be combined with other mechanisms such as mandating smoke-free environments and antismoking education. Our results strongly support the targeting of antismoking campaigns towards teenagers.
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As part of an ongoing project to explore the design of behaviour-change technology for smoking cessation, we analysed a successful community who come together on the popular Reddit website to discuss quitting and to encourage each other's quit attempts. We found that users remain anonymous but identify according to their quit stage. We examined the form and content of posts, finding that narratives about people and events are more common than other rhetorical forms. Many speak of ongoing struggles with quit attempts. Our analysis reveals forms of sociality spontaneously enacted in a self-managed community of quitters. We compare our results with earlier work on social media and behaviour change.
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OBJECTIVE: This study examined the impact of smoking, quitting, and time since quit on absences from work. METHODS: Data from the nationally representative Tobacco Use Supplements of the 1992/93, 1995/96, and 1998/99 Current Population Surveys were used. The study included full time workers aged between 18-64 years, yielding a sample size of 383 778 workers. A binary indicator of absence due to sickness in the last week was analysed as a function of smoking status including time since quit for former smokers. Extensive demographic variables were included as controls in all models. RESULTS: In initial comparisons between current and former smokers, smoking increased absences, but quitting did not reduce them. However, when length of time since quit was examined, it was discovered that those who quit within the last year, and especially the last three months, had a much greater probability of absences than did current smokers. As the time since quitting increased, absences returned to a rate somewhere between that of never and current smokers. Interactions between health and smoking status significantly improved the fit of the model. CONCLUSIONS: Smokers who quit reduced their absences over time but increase their absences immediately after quitting. Quitting ill may account for some but not all of this short run impact.
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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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We report a new analysis of data from a multi-year study, some of which were previously published in the current journal. A longitudinal sample of 380 computer specialists was followed over two years, yielding three measures each of job satisfaction, organizational commitment, and turnover intentions, as well as actual turnover, and reasons for leaving, at Times 2 and 3. Career paths were more diverse than the classical distinction between stayers and leavers implies. Furthermore, although the largest single group of leavers cited “push” reasons, conforming to the classical withdrawal model, a sizable number were attracted to another job (“pull motivation”). In a three-wave structural equation model, job (dis)satisfaction predicted turnover, while organizational commitment exerted its influence only via its association with job satisfaction. As expected, however, attitudes predicted turnover only for participants with push motivation. Quitting, in turn, predicted an improvement in both satisfaction and commitment, indicating that it paid off for the individual. The necessity to study consequences of turnover and to distinguish between different subgroups of stayers and leavers is emphasized.
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Se analiza el absentismo, el fallo y el abandono de los estudiantes en los primeros semestres del grado sobre la base de su formación en la educación secundaria.
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"New edition." (1868)
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Mode of access: Internet.
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Introduction and aims: Individual smokers from disadvantaged backgrounds are less likely to quit, which contributes to widening inequalities in smoking. Residents of disadvantaged neighbourhoods are more likely to smoke, and neighbourhood inequalities in smoking may also be widening because of neighbourhood differences in rates of cessation. This study examined the association between neighbourhood disadvantage and smoking cessation and its relationship with neighbourhood inequalities in smoking. Design and methods: A multilevel longitudinal study of mid-aged (40-67 years) residents (n=6915) of Brisbane, Australia, who lived in the same neighbourhoods (n=200) in 2007 and 2009. Neighbourhood inequalities in cessation and smoking were analysed using multilevel logistic regression and Markov chain Monte Carlo simulation. Results: After adjustment for individual-level socioeconomic factors, the probability of quitting smoking between 2007 and 2009 was lower for residents of disadvantaged neighbourhoods (9.0%-12.8%) than their counterparts in more advantaged neighbourhoods (20.7%-22.5%). These inequalities in cessation manifested in widening inequalities in smoking: in 2007 the between-neighbourhood variance in rates of smoking was 0.242 (p≤0.001) and in 2009 it was 0.260 (p≤0.001). In 2007, residents of the most disadvantaged neighbourhoods were 88% (OR 1.88, 95% CrI 1.41-2.49) more likely to smoke than residents in the least disadvantaged neighbourhoods: the corresponding difference in 2009 was 98% (OR 1.98 95% CrI 1.48-2.66). Conclusion: Fundamentally, social and economic inequalities at the neighbourhood and individual-levels cause smoking and cessation inequalities. Reducing these inequalities will require comprehensive, well-funded, and targeted tobacco control efforts and equity based policies that address the social and economic determinants of smoking.
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Purpose – The purpose of this paper is to investigate the relationship between workplace factors and the intentions of police officers to quit their current department. Design/methodology/approach – Data from a survey of Baltimore officers, designed to examine the relationship between police stress and domestic violence in police families were used. Using multivariate regression analysis, the authors focus on the officers' stated intentions to look for alternative employment, with proxies for social and workplace factors. Findings – Higher levels of cooperation (trust), interactional justice and work-life-balance reduce police officers' intentions to quit. While high levels of physical and psychological strain and trauma are not correlated with intentions to quit. Research limitations/implications – A discernible limitation of this study is the age of the data analyzed and that many changes have occurred in recent times (policing and social). It would be of great interest to repeat this study to gauge the true effect. Practical implications – There are policy implications for retention and recruitment: it may possible to decrease the ethnic and gender gaps, through identifying officers at risk and creating programs to hold existing minorities, recruit more, whilst maintaining a strong, happy and healthy department. Originality/value – This study examines the impact of workplace factors on quitting intention for police officers. It is demonstrated that social capital, fairness and work-life balance are moderators for quitting, adding to the literature on worker retention, as little research has been done using multivariate analysis on quitting intentions.
A smoking cessation intervention for people with chronic Hepatitis C : a randomised controlled trial
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Purpose The purpose of this study was to examine the validity of current practice in smoking cessation for the general population i.e., a telephone counselling and nicotine replacement therapy (NRT) intervention and its applicability to people with chronic hepatitis-C. Methods A randomised controlled trial was conducted over twelve weeks. Following consent, ninety-two smokers (outpatients) with chronic hepatitis-C were recruited by the Nurse Practitioner hepatology, randomly assigned and stratified by number of cigarettes smoked (i.e., 15 and greater; <15) into the intervention group (telephone counselling and NRT) and control group (telephone counselling). Outcomes measured included socio-demographics, nicotine dependence, depression, anxiety and stress and quality of life (QOL). All statistical data were analysed using SPSS. Results After 12 weeks, the intervention group showed a sustained reduction of smoking i.e., 5.8(CI: 2.4,9.3) cigarettes less per day, whereas the control group showed 1.6(CI:-1.9,5.2) cigarette reduction. Although not statistically significantly different (F=2.9, p=0.090) the intervention group on average smoked 4.2 fewer cigarettes compared to the control group. After twelve weeks, seven patients in the intervention group and three patients in the control group reported quitting. Whilst not statistically significant (Fisher’s Exact, p=0.311) this was a clinically significant result. No differences were found for nicotine dependence or depression, anxiety and stress. The intervention group experienced no change in QOL (-0.1,CI:-0.9, 0.6), however, the environmental score for the control group decreased by 1.8(CI:1.0, 2.6,p= 0.001). This was statistically significant. Conclusion A telephone counselling and nicotine replacement therapy intervention from the nurse practitioner, hepatology reduced smoking in patients with chronic hepatitis-C. The intervention group showed a sustained reduction over the 12 weeks. A total of 10 patients quit smoking at the end of the study. QOL deteriorated in the environmental subscale for the control group. These results informed a nurse practitioner model of care for approaches to smoking cessation.
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Who, ultimately, has power? Is it the senior executive with his finger on the off switch, is it the users themselves who make the decision to participate and contribute financially, or is it those who report on the actions of the company with the ability to reach large numbers of existing and potential players? In both the gambling and gaming industries, power is up for grabs. This work undertakes to consider how norms are formed in online gaming communities; that is, how the developers and players negotiate amongst themselves both how the game will operate. Also considered is how to resolve disputes that arise, and what power and limitations each side has when they need to make an impact – from developers switching off the server, to players quitting en-mass or causing disruption within the environment (using the recent example of Eve Online). Outside of the direct sphere of the game however a third party lurks – commentators. These may take the form of well established review sites, community forums or, in the case of the gambling industry, dispute resolution services but their power stake is clear – by publicising and interpreting the acts of both developers and players, they are in a position to influence whether current players stick with a company, whether new players join a company and how the company is perceived in the wider community.
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This pilot study evaluated the potential efficacy of an imagery-based intervention called Functional Imagery Training (FIT) as a therapeutic approach to smoking cessation. FIT showed promising results in reducing cigarette use, managing craving, and promoting abstinence among smokers when compared to a control condition, and may play a role in maintaining smokers' motivation to quit. This study was the first of its kind, and paves the way for future investigations into FIT as a smoking cessation intervention.
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Background: Smoking cessation interventions delivered by dental practitioners can be as effective as those delivered by general medical practitioners. However, concern that addressing smoking may cause offence to their patients is a reason cited by dental practitioners for not regularly addressing patient smoking behaviours, despite believing they should play a role in smoking cessation. This study aimed to elicit the smoking behaviour and smoking cessation preferences of dental patients to determine if these concerns accurately reflect patient attitudes. Methods: We surveyed 726 adult dental patients attending the University of Queensland’s School of Dentistry Dental Clinics, Brisbane Dental Hospital, and four private dental practices in South East Queensland. Results: Most (80%) current daily smokers had tried to quit smoking. Smokers and non-smokers both agreed that dentists should screen for smoking behaviour and are qualified to offer smoking cessation advice (99% and 96% respectively). Almost all participants (96%) said they would be comfortable with their dentist asking about their smoking and that if their smoking was affecting their oral health their dentist should advise them to quit. Conclusions: Patients are receptive to dental practitioners inquiring about smoking behaviour and offering advice on quitting. Smoking patients showed considerable motivation and interest in quitting smoking, particularly in the context of health problems related to smoking being identified. These results should encourage dentists to raise the issue with their patients.