99 resultados para Tobacco Smoke Pollution

em Deakin Research Online - Australia


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BackgroundChildren's exposure to other people's cigarette smoke (environmental tobacco smoke, or ETS) is associated with a range of adverse health outcomes for children. Parental smoking is a common source of children's exposure to ETS. Older children are also at risk of exposure to ETS in child care or educational settings. Preventing exposure to cigarette smoke in infancy and childhood has significant potential to improve children's health worldwide.ObjectivesTo determine the effectiveness of interventions aiming to reduce exposure of children to ETS.Search methodsWe searched the Cochrane Tobacco Addiction Group Specialized Register and conducted additional searches of the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, PsycINFO, EMBASE, CINAHL, ERIC, and The Social Science Citation Index & Science Citation Index (Web of Knowledge). Date of the most recent search: September 2013.Selection criteriaControlled trials with or without random allocation. Interventions must have addressed participants (parents and other family members, child care workers and teachers) involved with the care and education of infants and young children (aged 0 to 12 years). All mechanisms for reduction of children's ETS exposure, and smoking prevention, cessation, and control programmes were included. These include health promotion, social-behavioural therapies, technology, education, and clinical interventions.Data collection and analysisTwo authors independently assessed studies and extracted data. Due to heterogeneity of methodologies and outcome measures, no summary measures were possible and results were synthesised narratively.Main resultsFifty-seven studies met the inclusion criteria. Seven studies were judged to be at low risk of bias, 27 studies were judged to have unclear overall risk of bias and 23 studies were judged to have high risk of bias. Seven interventions were targeted at populations or community settings, 23 studies were conducted in the 'well child' healthcare setting and 24 in the 'ill child' healthcare setting. Two further studies conducted in paediatric clinics did not make clear whether the visits were to well or ill children, and another included both well and ill child visits. Thirty-six studies were from North America, 14 were in other high income countries and seven studies were from low- or middle-income countries. In only 14 of the 57 studies was there a statistically significant intervention effect for child ETS exposure reduction. Of these 14 studies, six used objective measures of children's ETS exposure. Eight of the studies had a high risk of bias, four had unclear risk of bias and two had a low risk of bias. The studies showing a significant effect used a range of interventions: seven used intensive counselling or motivational interviewing; a further study used telephone counselling; one used a school-based strategy; one used picture books; two used educational home visits; one used brief intervention and one study did not describe the intervention. Of the 42 studies that did not show a significant reduction in child ETS exposure, 14 used more intensive counselling or motivational interviewing, nine used brief advice or counselling, six used feedback of a biological measure of children's ETS exposure, one used feedback of maternal cotinine, two used telephone smoking cessation advice or support, eight used educational home visits, one used group sessions, one used an information kit and letter, one used a booklet and no smoking sign, and one used a school-based policy and health promotion. In 32 of the 57 studies, there was reduction of ETS exposure for children in the study irrespective of assignment to intervention and comparison groups. One study did not aim to reduce children's tobacco smoke exposure, but rather aimed to reduce symptoms of asthma, and found a significant reduction in symptoms in the group exposed to motivational interviewing. We found little evidence of difference in effectiveness of interventions between the well infant, child respiratory illness, and other child illness settings as contexts for parental smoking cessation interventions.Authors' conclusionsWhile brief counselling interventions have been identified as successful for adults when delivered by physicians, this cannot be extrapolated to adults as parents in child health settings. Although several interventions, including parental education and counselling programmes, have been used to try to reduce children's tobacco smoke exposure, their effectiveness has not been clearly demonstrated. The review was unable to determine if any one intervention reduced parental smoking and child exposure more effectively than others, although seven studies were identified that reported motivational interviewing or intensive counselling provided in clinical settings was effective.

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Background: Exposure to other people’s cigarette smoke (environmental tobacco smoke, or ETS) is an important child health issue.
Objectives: To determine the effectiveness of interventions aiming to reduce exposure of children to ETS.
Search strategy: The Tobacco Addiction Group register of studies was searched.MEDLINE, EMBASE and four other health and psychology databases were searched electronically, bibliographies of retrieved primary studies were checked and specialists in the area consulted.
Selection criteria:
Controlled trials with or without random allocation were included in this review if they addressed participants (parents and other family members, child care workers and teachers) involved with the care and education of infants and young children (aged 0-12 years). All mechanisms for reduction of children’s environmental tobacco smoke exposure, and smoking prevention, cessation, and control programmes targeting these participants are included. These include smoke free policies and legislation, health promotion, social behavioural therapies, technology, education and clinical interventions.
Data collection and analysis: Two reviewers independently assessed studies and extracted data. Due to heterogeneity of methodologies and outcomes, no summary measures were possible and results were synthesised using narrative summaries.
Main results:
Nineteen studies met the inclusion criteria, one of which was subsequently excluded. Three interventions were targeted at populations or community settings, seven studies were conducted in the well child health care setting and eight in the ill child health care setting. Twelve of these studies are from North America. In 12 of the 18 studies there was reduction of ETS exposure for children in both intervention and comparison groups. In only four of the 18 studies was there a statistically significant intervention effect. Three of these successful studies employed intensive counselling interventions targeted to smoking parents. There is little difference between the well infant, child respiratory illness and other child illness settings as contexts for parental smoking cessation interventions. The fourth successful intervention was in the school setting targeting the ETS exposure of children from smoking fathers.
Authors’ conclusions: Brief counselling interventions, successful in the adult health setting when coming from physicians, cannot be extrapolated to adults in the setting of child health. There is limited support for more intensive counselling interventions. There is no clear evidence for differences between the respiratory, non-respiratory ill child, well child and peripartum settings as contexts for reduction of children’s ETS exposure.

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Background: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods: Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk-outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990-2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings: All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8-58·5) of deaths and 41·6% (40·1-43·0) of DALYs. Risks quantified account for 87·9% (86·5-89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation: Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks.

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We report within a case study a reproducible process to facilitate the explicit incorporation of evidence by a multidisciplinary group into clinical policy development. To support the decision-making of a multidisciplinary Intersectoral Advisory Group (IAG) convened by the Royal Australasian College of Physicians Health Policy Unit, a systematic review of randomized controlled trials about environmental tobacco smoke and smoking cessation interventions in paediatric settings was first undertaken. As reported in detail here, IAG members were then formally engaged in a transparent and replicable process to understand and interpret the synthesized evidence and to proffer their independent reactions regarding policy, practice and research. Our intention was to ensure that all IAG members were democratically engaged and made aware of the available evidence. As clinical policy must engage stakeholder representatives from diverse backgrounds, a process to equalize understanding of the evidence and 'democratize' judgment about its implications is needed. Future research must then examine the benefits of such explicit steps when guidelines, in turn, are implemented. We hypothesize that changes to future practice will be more likely if processes undertaken to develop guidelines are transparent to clinicians and other target groups.

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Delivery of nicotine in the most desirable form is critical in maintaining people's use of tobacco products. Interpretation of results by tobacco industry scientists, studies that measure free-base nicotine directly in tobacco smoke, and the variability of free-base nicotine in smokeless tobacco products all indicate that the form of nicotine delivered to the tobacco user, in addition to the total amount, is an important factor in whether people continue to use the product following their initial exposure. The physiological impact of nicotine varies with the fraction that is in the free-base form and this leads to continued exposure to other toxic tobacco contents and emissions. In addition to evaluating the total nicotine delivered to the user, measuring the fraction of nicotine in the free-base form is critical in understanding and controlling the influence of nicotine on tobacco use.

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The Index of Receptivity to Tobacco Industry Promotion (IRTIP) is a model that is used by hundreds of articles. The causal claim based on findings from this model is even more pervasive, and has resulted in much of the modern post 1998 tobacco legislation that is still enforced. This thesis tested the link between adolescent receptivity to tobacco industry promotion and susceptibility to smoking. Pierce et al. (1998) reported that they had found a positive and causal association between receptivity and susceptibility by using IRTIP. They claimed that receptivity to tobacco industry promotion was the only significant causal factor affecting adolescent susceptibility to smoking. Exposure to peer and parental smoking was not found to be a significant effect. A review of the literature found that many sections of IRTIP differ from accepted marketing theory on how cigarette advertising and promotions affect adolescent adoption of cigarette smoking. The proxy measures used in IRTIP were shown to diverge from those previously used for measuring the constructs of Attention, Intention, Desire and Action (AIDA) in marketing communications. IRTIP also differs from previous theory by including measures that attempt to quantify the effect of tobacco premiums into a model that was designed to measure the effects of advertising.

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The majority of tobacco users commence in early to mid-adolescence. Tobacco smoking can be characterised as a chronic, relapsing disorder. While risk increases with amount smoked, there is no safe level of use (i.e., all use is risky). Duration of use is the most important predictor of premature death with the majority of excess morbidity and mortality avoidable if people quit before middle age. Investment in initiatives that reduce smoking among pregnant women and those at risk of cardiovascular disease provide quickest returns -in reduced health care episodes and expenditure.  Measures that successfully reduce smoking among parents probably reduce smoking uptake by children, and high levels of smoking among both children and parents appear to be associated with higher levels of illicit drug use.
The evidence base for pharmcotherapies in the treatment of tobacco dependence is very strong. Population-level initiatives such as tax increases, mass media-led campaigns and smoke-free policies are all highly cost-effective in reducing population-smoking levels, including among children and young people.
Australian tobacco control initiatives have been based on "social ecology" conceptualisations of the problem, which acknowledge the pivotal role of the media in shaping social values, and public and political opinion.
Broad social change, as well as more focused prevention and cessation initiatives, has drawn heavily on research findings from the behavioural sciences. Considerable effort (mainly, in Australian, in the NGO sector) has gone into documenting policy inputs and monitoring impact and outcome measures.
This chapter discusses why conceptualising tobacco-related harm from legal, economic and social policy perspectives should also help build support for tobacco control policy among academic and practising economists and lawyers, and in the business, welfare and government sectors.

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Objective: To compare the quality and funding source of studies concluding a negative economic impact of smoke-free policies in the hospitality industry to studies concluding no such negative impact.

Data sources: Researchers sought all studies produced before 31 August 2002. Articles published in scientific journals were located with Medline, Science Citation Index, Social Sciences Citation Index, Current Contents, PsychInfo, Econlit, and Healthstar. Unpublished studies were located from tobacco company websites and through internet searches.

Study selection:
97 studies that made statements about economic impact were included. 93% of the studies located met the selection criteria as determined by consensus between multiple reviewers.

Data extraction: Findings and characteristics of studies (apart from funding source) were classified independently by two researchers. A third assessor blind to both the objective of the present study and to funding source also classified each study.

Data synthesis: In studies concluding a negative impact, the odds of using a subjective outcome measure was 4.0 times (95% confidence interval (CI) 1.4 to 9.6; p = 0.007) and the odds of not being peer reviewed was 20 times (95% CI 2.6 to 166.7; p = 0.004) that of studies concluding no such negative impact. All of the studies concluding a negative impact were supported by the tobacco industry. 94% of the tobacco industry supported studies concluded a negative economic impact compared to none of the non-industry supported studies.

Conclusion: All of the best designed studies report no impact or a positive impact of smoke-free restaurant and bar laws on sales or employment. Policymakers can act to protect workers and patrons from the toxins in secondhand smoke confident in rejecting industry claims that there will be an adverse economic impact.

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Objective: To examine the impact of smoke-free policies in Victorian gambling venues on electronic gaming machine (EGM) expenditure.

Method: Monthly EGM expenditure from July 1998 to December 2005, provided by the Victorian Commission for Gambling Regulation and the Office of the Liquor and Gambling Commissioner in South Australia, was analysed. The outcome measure was the ratio of monthly expenditure for Victoria to monthly expenditure in South Australia. Intervention analysis and autoregressive integrated moving average modelling were used to assess the impact of the smoke-free policy on expenditure.

Results: The smoke-free policy resulted in an abrupt, long-term decrease in the level of EGM expenditure. The mean level of monthly expenditure decreased by approximately 14%.

Conclusion: The smoke-free policy not only protects hospitality workers and patrons from exposure to secondhand smoke but has also had an impact on slowing gambling losses.