The impact of school tobacco policies on student smoking in Washington State, United States and Victoria, Australia

This paper measures tobacco polices in statewide representative samples of secondary and mixed schools in Victoria, Australia and Washington, US (N = 3,466 students from 285 schools) and tests their association with student smoking. Results from confounder-adjusted random effects (multi-level) regression models revealed that the odds of student perception of peer smoking on school grounds are decreased in schools that have strict enforcement of policy (odds ratio (OR) = 0.45; 95% CI: 0.25 to 0.82; p = 0.009). There was no clear evidence in this study that a comprehensive smoking ban, harsh penalties, remedial penalties, harm minimization policy or abstinence policy impact on any of the smoking outcomes.

RCT of a client-centred, caseworker-delivered smoking cessation intervention for a socially disadvantaged population

Background: Disadvantaged groups are an important target for smoking cessation intervention. Smoking rates are markedly higher among severely socially disadvantaged groups such as indigenous people, the homeless, people with a mental illness or drug and alcohol addiction, and the unemployed than in the general population. This proposal aims to evaluate the efficacy of a client-centred, caseworker delivered cessation support intervention at increasing validated self reported smoking cessation rates in a socially disadvantaged population.
Methods/Design: A block randomised controlled trial will be conducted. The setting will be a non-government organisation, Community Care Centre located in New South Wales, Australia which provides emergency relief and counselling services to predominantly government income assistance recipients. Eligible clients identified as smokers during a baseline touch screen computer survey will be recruited and randomised by a trained research assistant located in the waiting area. Allocation to intervention or control groups will be determined by time periods with clients randomised in one-week blocks. Intervention group clients will receive an intensive client centred smoking cessation intervention offered by the caseworker over two face-to-face and two telephone contacts. There will be two primary outcome measures obtained at one, six, and 12 month follow-up: 1) 24-hour expired air CO validated self-reported smoking cessation and 2) 7-day self-reported smoking cessation. Continuous abstinence will also be measured at six and 12 months follow up.
Discussion: This study will generate new knowledge in an area where the current information regarding the most effective smoking cessation approaches with disadvantaged groups is limited.

Tobacco smoking as a risk factor for major depressive disorder : a population-based study

Background : Smoking is disproportionately prevalent among people with psychiatric illness.

Aims : To investigate smoking as a risk factor for major depressive disorder.

Method : A population-based sample of women was studied using case–control and retrospective cohort study designs. Exposure to smoking was self-reported, and major depressive disorder diagnosed using the Structured Clinical Interview for DSM–IV–TR (SCID–I/NP).

Results : Among 165 people with major depressive disorder and 806 controls, smoking was associated with increased odds for major depressive disorder (age-adjusted odds ratio (OR)=1.46, 95% CI 1.03–2.07). Compared with non-smokers, odds for major depressive disorder more than doubled for heavy smokers (>20 cigarettes/day). Among 671 women with no history of major depressive disorder at baseline, 13 of 87 smokers and 38 of 584 non-smokers developed de novo major depressive disorder during a decade of follow-up. Smoking increased major depressive disorder risk by 93% (hazard ratio (HR)=1.93, 95% CI 1.02–3.69); this was not explained by physical activity or alcohol consumption.

Conclusions : Evidence from cross-sectional and longitudinal data suggests that smoking increases the risk of major depressive disorder in women.

Sustainable funding of health initiatives in Wonju, Republic of Korea via a tobacco consumption tax

Wonju is the first municipality in the Republic of Korea to fund the Healthy City project through municipal revenues from the local tobacco consumption tax. We investigated the process of the local tobacco consumption tax being approved as the main source of financing for the local Healthy City project. We also examined the sustainability and sufficiency of the funding by looking at the pricing policies instituted for cigarettes, smoking prevalence, cigarette consumption and revenues from local tobacco consumption as well as the budgetary allocations among programs in the city. The strong initiative of the mayor of Wonju was one of the factors that enabled the earmarking of the local tobacco consumption tax for the Healthy City Wonju project. He consulted academic counselors and persuaded the municipal government and the City Council to approve the bill. Despite the increasing price of cigarettes in Korea, adequate funding can be sustained to cover the short-term and mid-term programs in Wonju for at least 5 years of the mayor's term, because the smoking rate is persistently high. Analyzing the effects of strong leadership on the part of local authorities and the balance between revenues from the tobacco tax and the prevalence of smoking in the face of anti-smoking policies would be helpful for other countries and communities interested in developing sustainable Healthy Cities projects.

The economic burden of ill health due to diet, physical inactivity, smoking, alcohol and obesity in the UK : an update to 2006-07 NHS costs

Background: Estimates of the economic cost of risk factors for chronic disease to the NHS provide evidence for prioritization of resources for prevention and public health. Previous comparable estimates of the economic costs of poor diet, physical inactivity, smoking, alcohol and overweight/obesity were based on economic data from 1992–93.

Methods: Diseases associated with poor diet, physical inactivity, smoking, alcohol and overweight/obesity were identified. Risk factor-specific population attributable fractions for these diseases were applied to disease-specific estimates of the economic cost to the NHS in the UK in 2006–07.

Results: In 2006–07, poor diet-related ill health cost the NHS in the UK £5.8 billion. The cost of physical inactivity was £0.9 billion. Smoking cost was £3.3 billion, alcohol cost £3.3 billion, overweight and obesity cost £5.1 billion.

Conclusion: The estimates of the economic cost of risk factors for chronic disease presented here are based on recent financial data and are directly comparable. They suggest that poor diet is a behavioural risk factor that has the highest impact on the budget of the NHS, followed by alcohol consumption, smoking and physical inactivity.

Extreme response bias in measuring susceptibility to smoking.

Pierce, Choi, Gilpin, Farkas, and Berry (1998) were the first to claim that they could provide causal evidence that tobacco industry advertising and promotion caused adolescent smoking. This claim continues to significantly influence the theory and conceptualization of how youth react to tobacco marketing. The Pierce et al. (1998) methodology has been used by many researchers to establish the influence of tobacco marketing on adolescent smoking (Goldberg, 2003; NCI, 2006; Sargent, Dalton, & Beach, 2000). Pierce et al. (1998) selected respondents for only the second of their two survey longitudinal study because they chose the extreme-negative response. This choice could be the result of the tendency of some significant number of sample members exhibiting extreme-response bias. The results from an analysis of several questions from the original data used by Pierce et al. (1998) has suggested that there is a significant extreme-response style pattern in the Pierce et al. data. This unaccounted for bias in the responses of their sample was due to the procedure used by Pierce et al. (1998) in the selection of their respondents. The Pierce et al. (1998) sample selection procedure requires more research before the causal link can be claimed.

Questioning the construct of 'susceptibility' in the causal link between tobacco industry promotion and adolescent smoking

The first article to report on a causal connection between tobacco industry promotion and adolescent smoking (Pierce et al. 1998) had, and continues to have, a significant influence on the marketing of cigarettes in many parts of the world. A key construct in determining causality was the ability to identify the respondents’ “susceptibility to smoke”. Through an analysis of the questions, and reanalysis of the original data used by Pierce et al. (1998), it is shown that the construct is flawed, and needs revision before a causal link can be claimed with the original data.

The influence of parents, siblings and peers on pre- and early-teen smoking : a multilevel model

Introduction and Aims. Despite considerable success in tobacco control, many teenagers in Australia and other industrialised countries still smoke tobacco. There is mixed evidence on the relative influence of proximal social networks (parents/siblings/peers) on pre- and early-teen smoking, and no research has examined how these influences compare after accounting for school- and community-level effects.The aim of this study was to compare the relative influences of parents, siblings and peers, after accounting for school- and community-level variation in smoking.

Design and Methods. A cross-sectional fixed and random effects model of smoking prevalence was used, with individuals (n = 7314) nested within schools (n = 231) nested within communities (n = 30). Grade 6 and 8 students (modal ages 11 and 13 years) completed an on-line survey. Key variables included parent/sibling/peer use. Controls included alcohol involvement, sensation seeking, pro-social beliefs, laws/norms about substance use and school commitment.

Results.There was significant variation in smoking at both the school and community levels, supporting the need for a multilevel model. Individual-level predictors accounted for much of the variance at higher levels. The strongest effects were for number of friends who smoke, sibling smoking and alcohol involvement. Smaller significant effects were found for parent smoking. At the community level, socioeconomic disadvantage was significant, but community-level variance in pro-social and drug-related laws/norms was not related to smoking.

Discussion and Conclusions. Cross-level interactions were generally non-significant. Early teenage smoking was best explained by sibling and peer smoking, and individual risks largely accounted for the substantial variation observed across schools and communities. In terms of future tobacco control, findings point to the utility of targeting families in disadvantaged communities.[Kelly AB, O'Flaherty M, Connor JP, Homel R, Toumbourou JW, Patton GC, Williams J. The influence of parents, siblings and peers on pre- and early-teen smoking: A multilevel model.