The hazards of starting and quitting smoking: some Australian evidence

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.

Descriptive evaluation of smoking cessation

Introduction: The Northern Alliance HARP smoking cessation program provides support to chronic disease participants who desired to quit smoking. This is an individualised program with pharmacotherapy and behavioural support, delivered by specialist clinicians.

Aims: The aims of this descriptive evaluation were to explore factors that affect abstinence rates, record those rates, and describe the impact of anxiety, depression, self-efficacy, quality of life and motivation on quit rates at three months.

Methods: Data was collected prospectively from clients enrolled in the service. Participants were assessed for abstinence at three months, six months and one year by carbon monoxide (CO) monitoring and self-reporting. Factors predictive of quitting were analysed using logistic regression; factors with a p value < 0.05 and 95% CI not containing one were considered statistically significant.

Results: 103 clients were assessed and 86 were enrolled in the program. The odds of successful quitting at three months CO verified was higher amongst completers of the program compared to non-completers (OR = 6.6, 95% CI = 2.03–21.57, p = 0.002). The probability of sustained quitting at one year was over 18 times higher in the group who completed the program (n = 16/21 completers and n = 1/4 non-completers) (OR 18.5, 95% CI, 2.32–147.34, p = 0.006). No other factors predicted quitting.

The rate of quitting was 28.7% at three months, 19.5% at six months and 10.3% at one year, CO verified. Measures of anxiety and depression, self-efficacy, quality of life and motivation did not influence either the quit rate or the likelihood of completing the course of treatment at three months.

Identifying the energy gap: magnitude and determinants of 5-year weight gain in midage women

Objective: The aims of this study were to estimate average yearly weight gain in midage women and to identify the determinants of weight gain and gaining weight at double the average rate.
Research Methods and Procedures: The study sample comprised 8071 participants (45 to 55 years old) in the Australian Longitudinal Study on Women's Health who completed mailed surveys in 1996, 1998, and 2001.
Results: On average, the women gained almost 0.5 kg per year [average 2.42 kg (95% confidence interval, 2.29 to 2.54) over 5 years]. In multivariate analyses, variables associated with energy balance (physical activity, sitting time, and energy intake), as well as quitting smoking, menopause/hysterectomy, and baseline BMI category were significantly associated with weight gain, but other behavioral and demographic characteristics were not. After adjustment for all of the other biological and behavioral variables, the odds of gaining weight at about twice the average rate (>5 kg over 5 years) were highest for women who quit smoking (odds ratio = 2.94; 95% confidence interval, 2.17, 3.96). There were also independent relationships between the odds of gaining >5 kg and lower levels of habitual physical activity, more time spent sitting, energy intake (but only in women with BMI > 25 at baseline), menopause transition, and hysterectomy.
Discussion: The average weight gain equates with an energy imbalance of only about 10 kcal or 40 kJ per day, which suggests that small sustained changes in the modifiable behavioral variables could prevent further weight gain.

N-acetylcysteine for therapy-resistant tobacco use disorder: a pilot study

Introduction N-Acetylcysteine (NAC) may have efficacy in treating tobacco use disorder (TUD) by reducing craving and smoking reward. This study examines whether treatment with NAC may have a clinical efficacy in the treatment of TUD. Methods A 12-week double blind randomized controlled trial was conducted to compare the clinical efficacy of NAC 3 g/day versus placebo. We recruited 34 outpatients with therapy resistant TUD concurrently treated with smoking-focused group behavioral therapy. Participants had assessments of daily cigarette use (primary outcome), exhaled carbon monoxide (COEXH) (secondary outcome), and quit rates as defined by COEXH<6 ppm. Depression was measured with the Hamilton Depression Rating Scale (HDRS). Data were analyzed using conventional and modified intention-to-treat endpoint analyses. Results NAC treatment significantly reduced the daily number of cigarettes used (Δ mean±SD = -10.9 ± 7.9 in the NAC-treated versus -3.2 ± 6.1 in the placebo group) and COEXH (Δ mean± SD = -10.4 ± 8.6 ppm in the NAC-treated versus -1.5 ± 4.5 ppm in the placebo group); 47.1% of those treated with NAC versus 21.4% of placebo-treated patients were able to quit smoking as defined by COEXH<6 ppm. NAC treatment significantly reduced the HDRS score in patients with tobacco use disorder. Conclusions These data show that treatment with NAC may have a clinical efficacy in TUD. NAC combined with appropriate psychotherapy appears to be an efficient treatment option for TUD.

The effectiveness of callback counselling for smoking cessation: a randomized trial

Aims. The development of acceptable, widely available and effective smoking cessation methods is central to public health strategy for tobacco control. We examined the effectiveness of a telephone callback counselling intervention, compared to the provision of self-help resources alone.

Methods. Participants were 998 smokers calling a state-wide "Quitline" service randomly allocated to either callback counselling or ordinary care. The callback condition consisted of a series of brief counselling calls at strategic times in addition to ordinary care. The number of calls varied according to caller needs, and most occurred generally just before the person's quit day and in the week or two after it. The service was delivered by trained telephone counsellors.

Results. At the 3-month follow-up, significantly more participants in the callback group (24%) reported that they were quit, compared to those in the usual care comparison group (13%). The difference in point prevalence of smoking declined to 6% by the 12-month follow-up. Using sustained abstinence there was a significant benefit of callback counselling at 12-month follow-up. Treating dropouts as smokers reduced the overall magnitude of the effects somewhat. The benefit of callbacks was to marginally increase quit attempts and to significantly reduce relapse.

Conclusion. Our findings are consistent with those of other studies demonstrating benefits of callback telephone counselling to facilitate cessation. Such counselling provides a flexible, relatively inexpensive and widely available form of cessation service. It appears to encourage a greater proportion of quit attempts and to reduce the rate of relapse among those quitting. Further research is required to determine ways to enhance effectiveness, particularly studies of how to reduce relapse.

The effectiveness of personalized smoking cessation strategies for callers to a Quitline service

Aim To assess the effectiveness of a program of computer-generated tailored advice for callers to a telephone helpline, and to assess whether it enhanced a series of callback telephone counselling sessions in aiding smoking cessation.

Design Randomized controlled trial comparing: (1) untailored self-help materials; (2) computer-generated tailored advice only, and (3) computer-generated tailored advice plus callback telephone counselling. Assessment surveys were conducted at baseline, 3, 6 and 12 months.

Setting Victoria, Australia.

Participants A total of 1578 smokers who called the Quitline service and agreed to participate.

Measurements Smoking status at follow-up; duration of cessation, if quit; use of nicotine replacement therapy; and extent of participation in the callback service.

Findings At the 3-month follow-up, significantly more (χ2(2) = 16.9; P < 0.001) participants in the computer-generated tailored advice plus telephone counselling condition were not smoking (21%) than in either the computer-generated advice only (12%) or the control condition (12%). Proportions reporting not smoking at the 12-month follow-up were 26%, 23% and 22%, respectively (NS) for point prevalence, and for 9 months sustained abstinence; 8.2, 6.0, and 5.0 (NS). In the telephone counselling group, those receiving callbacks were more likely than those who did not to have sustained abstinence at 12 months (10.2 compared with 4.0, P < 0.05). Logistic regression on 3-month data showed significant independent effects on cessation of telephone counselling and use of NRT, but not of computer-generated tailored advice.

Conclusion Computer-generated tailored advice did not enhance telephone counselling, nor have any independent effect on cessation. This may be due to poor timing of the computer-generated tailored advice and poor integration of the two modes of advice.

Adaptation to mandated restrictions on smoking in dining areas : results of an Internet survey

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.

Age at quitting smoking as a predictor of risk of cardiovascular disease incidence independent of smoking status, time since quitting and pack-years

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.

A strategy for involving general practitioners in smoking control

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.

A theory-based video messaging mobile phone intervention for smoking cessation: randomized controlled trial

BACKGROUND: Advances in technology allowed the development of a novel smoking cessation program delivered by video messages sent to mobile phones. This social cognitive theory-based intervention (called "STUB IT") used observational learning via short video diary messages from role models going through the quitting process to teach behavioral change techniques.

OBJECTIVE: The objective of our study was to assess the effectiveness of a multimedia mobile phone intervention for smoking cessation.

METHODS: A randomized controlled trial was conducted with 6-month follow-up. Participants had to be 16 years of age or over, be current daily smokers, be ready to quit, and have a video message-capable phone. Recruitment targeted younger adults predominantly through radio and online advertising. Registration and data collection were completed online, prompted by text messages. The intervention group received an automated package of video and text messages over 6 months that was tailored to self-selected quit date, role model, and timing of messages. Extra messages were available on demand to beat cravings and address lapses. The control group also set a quit date and received a general health video message sent to their phone every 2 weeks.

RESULTS: The target sample size was not achieved due to difficulty recruiting young adult quitters. Of the 226 randomized participants, 47% (107/226) were female and 24% (54/226) were Maori (indigenous population of New Zealand). Their mean age was 27 years (SD 8.7), and there was a high level of nicotine addiction. Continuous abstinence at 6 months was 26.4% (29/110) in the intervention group and 27.6% (32/116) in the control group (P = .8). Feedback from participants indicated that the support provided by the video role models was important and appreciated.

CONCLUSIONS: This study was not able to demonstrate a statistically significant effect of the complex video messaging mobile phone intervention compared with simple general health video messages via mobile phone. However, there was sufficient positive feedback about the ease of use of this novel intervention, and the support obtained by observing the role model video messages, to warrant further investigation.

Design and conduct of a pragmatic randomized controlled trial to enhance smoking-cessation outcomes with exercise: The Fit2Quit study

Background: Most smokers want to stop smoking and many try to quit. However abstinence rates are low and most smokers do not manage to abstain for even a week. Relapse to smoking can be related to the occurrence of tobacco withdrawal symptoms (e.g., sleep disturbance, irritability, and craving) and weight gain. If regular exercise mitigates these effects it could have potential as an aid to smoking cessation. The aim of the Fit2Quit study is to determine the effects of a home and community-based exercise intervention on smoking abstinence at six months when used as an adjunct to usual care (telephone smoking-cessation counseling and nicotine replacement therapy; NRT). Methods/design: A prospective parallel two-arm randomized controlled trial. Participants (n = 1400, 700 per arm) will be randomized to a structured home and community-based exercise program plus usual care (behavioral counseling and NRT) or to usual-care alone. It is targeted that at least 25% of the sample will be of Mori ethnicity (New Zealand indigenous). Outcomes to be measured using intention-to-treat analysis include: seven-day point prevalence of smoking abstinence verified by salivary cotinine (primary outcome); 6 months continuous abstinence; body mass index (BMI); cardio-respiratory fitness; physical activity levels; and cost effectiveness. Discussion: The Fit2Quit study is an example of a large, pragmatic randomized controlled trial in a community setting. Specific components of the exercise intervention are outlined in detail. Trial registration: Australian New Zealand Clinical Trials Registry ACTRN12609000637246.

A multimedia mobile phone-based youth smoking cessation intervention: findings from content development and piloting studies

BACKGROUND: While most young people who smoke want to quit, few access cessation support services. Mobile phone-based cessation programs are ideal for young people: mobile phones are the most common means of peer communication, and messages can be delivered in an anonymous manner, anywhere, anytime. Following the success of our text messaging smoking cessation program, we developed an innovative multimedia mobile phone smoking cessation intervention.

OBJECTIVE: The aim of the study was to develop and pilot test a youth-oriented multimedia smoking cessation intervention delivered solely by mobile phone.

METHODS: Development included creating content and building the technology platform. Content development was overseen by an expert group who advised on youth development principles, observational learning (from social cognitive theory), effective smoking cessation interventions, and social marketing. Young people participated in three content development phases (consultation via focus groups and an online survey, content pre-testing, and selection of role models). Video and text messages were then developed, incorporating the findings from this research. Information technology systems were established to support the delivery of the multimedia messages by mobile phone. A pilot study using an abbreviated 4-week program of video and text content tested the reliability of the systems and the acceptability of the intervention.

RESULTS: Approximately 180 young people participated in the consultation phase. There was a high priority placed on music for relaxation (75%) and an interest in interacting with others in the program (40% would read messages, 36% would read a blog). Findings from the pre-testing phase (n = 41) included the importance of selecting "real" and "honest" role models with believable stories, and an interest in animations (37%). Of the 15 participants who took part in the pilot study, 13 (87%) were available for follow-up interviews at 4 weeks: 12 participants liked the program or liked it most of the time and found the role model to be believable; 7 liked the role model video messages (5 were unsure); 8 used the extra assistance for cravings; and 9 were happy with two messages per day. Nine participants (60%) stopped smoking during the program. Some technical challenges were encountered during the pilot study.

CONCLUSIONS: A multimedia mobile phone smoking cessation program is technically feasible, and the content developed is appropriate for this medium and is acceptable to our target population. These results have informed the design of a 6-month intervention currently being evaluated for its effectiveness in increasing smoking cessation rates in young people.

Preventing tobacco use and harm: what is evidence based policy?

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.

Prediction intention to quit in the call centre industry: does the retail model fit?

Purpose – Models of workplace turnover are rarely assessed in contexts other than that in which they were developed. This reduces their generalizability and their usefulness in providing managers with guidance as to what they might do to reduce workers intentions to quit. The purpose of this study is to test a model derived from a study of shop floor retail salespeople in the call centre environment.

Design/methodology/approach – A questionnaire measuring the variables in the model was completed by 126 call centre representatives recruited from 11 call centres in Melbourne, Australia.

Findings – Although the model was supported, the interactions among the variables differed. In particular, stressors played a bigger, albeit indirect, role in the intention to quit.

Practical implications – Call centre managers need to consider carefully the aspects of the work environment that may be stressful. If appropriately addressed, turnover may be reduced, and productivity increased.

Originality/value – This paper demonstrates that the model of turnover derived from shop floor salespeople is generally robust in the call centre setting. It provides management of call centres with some guidance as to the factors associated with turnover and areas that can be addressed to reduce it.

Predictors of job strain and intention to quit in a reorganised Australian workforce

This study examined the role of working conditions in predicting the psychological health, job satisfaction, organisational commitment and intention to quit of employees working in an industry sector that had undergone large-scale organisational change. The working conditions were assessed using an augmented job strain model- whereby job demand, job control and social support had been augmented by industry-specific stressors - and the psychological contract model. The results of regression analyses indicate that social support was predictive of all of the outcome measures. Job control and the honouring of psychological contracts were both predictive of job satisfaction and commitment, Furthermore, job satisfaction and organisational commitment were found to mediate the relationship between working conditions and intention to quit. Collectively, these findings suggest that strategies aimed at combating the negative effects of organisational change could be enhanced by addressing several variables represented in the models - particularly social support, job control and psychological contracts.