Fiona Dobbie

Beginning gambling: The role of social networks and environment

This article reports findings from the first phase of a longitudinal, qualitative study based on a cohort of 50 gamblers. The overall study is designed to explore the development of ‘gambling careers’. Within it, this first phase of analysis examines the ways that individuals begin gambling, focusing on the role of social relationships and environmental context in this process. Drawing on theories of social learning and cultural capital, we argue that gambling is a fundamentally social behaviour that is embedded in specific environmental and cultural settings. Our findings reveal the importance of social networks, such as family, friends and colleagues, as well as geographical-cultural environment, social class, age and gender, in the initiation of gambling behaviour. They also suggest that those who begin gambling at an early age within family networks are more likely to develop problems than those who begin later, amongst friends and colleagues. However, we caution against simplistic interpretations, as a variety of inter-dependent social factors interact in complex ways here.

Gambling careers: a longitudinal, qualitative study of gambling behaviour

This article presents findings from a five year study of ‘gambling careers’ designed to explore the ways that individuals move in and out of problematic behaviour over time. A longitudinal qualitative methodology was used to investigate patterns of stability and change in a cohort of 50 problem and recreational gamblers. The study found that change, rather than stability, was the norm in gambling behaviour and identified four different trajectories of behaviour: progression, reduction, consistency and non-linearity. Drawing on rich narrative accounts of respondents’ gambling behaviour, the study begins to suggest reasons for these different types of movement, highlighting the role of material factors such as employment, environment and social context in each. It concludes that gambling behaviour is highly variable over time, and recommends that future research focus on patterns of behaviour rather than on ‘types’ of gamblers.

Evaluating Long-term Outcomes of NHS Stop Smoking Services (ELONS): a prospective cohort study

BACKGROUND NHS Stop Smoking Services (SSSs) provide free at the point of use treatment for smokers who would like to stop. Since their inception in 1999 they have evolved to offer a variety of support options. Given the changes that have happened in the provision of services and the ongoing need for evidence on effectiveness, the Evaluating Long-term Outcomes for NHS Stop Smoking Services (ELONS) study was commissioned. OBJECTIVES The main aim of the study was to explore the factors that determine longer-term abstinence from smoking following intervention by SSSs. There were also a number of additional objectives. DESIGN The ELONS study was an observational study with two main stages: secondary analysis of routine data collected by SSSs and a prospective cohort study of service clients. The prospective study had additional elements on client satisfaction, well-being and longer-term nicotine replacement therapy (NRT) use. SETTING The setting for the study was SSSs in England. For the secondary analysis, routine data from 49 services were obtained. For the prospective study and its added elements, nine services were involved. The target population was clients of these services. PARTICIPANTS There were 202,804 cases included in secondary analysis and 3075 in the prospective study. INTERVENTIONS A combination of behavioural support and stop smoking medication delivered by SSS practitioners. MAIN OUTCOME MEASURES Abstinence from smoking at 4 and 52 weeks after setting a quit date, validated by a carbon monoxide (CO) breath test. RESULTS Just over 4 in 10 smokers (41%) recruited to the prospective study were biochemically validated as abstinent from smoking at 4 weeks (which was broadly comparable with findings from the secondary analysis of routine service data, where self-reported 4-week quit rates were 48%, falling to 34% when biochemical validation had occurred). At the 1-year follow-up, 8% of prospective study clients were CO validated as abstinent from smoking. Clients who received specialist one-to-one behavioural support were twice as likely to have remained abstinent than those who were seen by a general practitioner (GP) practice and pharmacy providers [odds ratio (OR) 2.3, 95% confidence interval (CI) 1.2 to 4.6]. Clients who received group behavioural support (either closed or rolling groups) were three times more likely to stop smoking than those who were seen by a GP practice or pharmacy providers (OR 3.4, 95% CI 1.7 to 6.7). Satisfaction with services was high and well-being at baseline was found to be a predictor of abstinence from smoking at longer-term follow-up. Continued use of NRT at 1 year was rare, but no evidence of harm from longer-term use was identified from the data collected. CONCLUSIONS Stop Smoking Services in England are effective in helping smokers to move away from tobacco use. Using the 52-week CO-validated quit rate of 8% found in this study, we estimate that in the year 2012-13 the services supported 36,249 clients to become non-smokers for the remainder of their lives. This is a substantial figure and provides one indicator of the ongoing value of the treatment that the services provide. The study raises a number of issues for future research including (1) examining the role of electronic cigarettes (e-cigarettes) in smoking cessation for service clients [this study did not look at e-cigarette use (except briefly in the longer-term NRT study) but this is a priority for future studies]; (2) more detailed comparisons of rolling groups with other forms of behavioural support; (3) further exploration of the role of practitioner knowledge, skills and use of effective behaviour change techniques in supporting service clients to stop smoking; (4) surveillance of the impact of structural and funding changes on the future development and sustainability of SSSs; and (5) more detailed analysis of well-being over time between those who successfully stop smoking and those who relapse. Further research on longer-term use of non-combustible nicotine products that measures a wider array of biomarkers of smoking-related harm such as lung function tests or carcinogen metabolites. FUNDING The National Institute for Health Research Health Technology Assessment programme. The UK Centre for Tobacco and Alcohol Studies provided funding for the longer-term NRT study.

Lost in the game: Narratives of addiction and identity in recovery from problem gambling

This article explores the ways that individuals experience recovery from gambling problems. Arguing against reductive, bio-medical models of addiction, we adopt a broadly interpretive epistemology to analyse gamblers’ narratives of recovery. Using data from a longitudinal qualitative study of ‘gambling careers’ we suggest that processes of behaviour change are embedded in wider social relations and revolve around shifting concepts of self-identity. This involves processes of biographical and temporal reconstruction which are grounded in material circumstances, particularly those relating to money and social relationships. Various configurations of recovery exist, but common to all is a dynamic temporal reorientation and an increased sense of agency and authenticity as individuals move into a future that they feel they have some control over. These narratives suggest that experiences of gambling addiction and recovery, and the self-concepts that accompany them, are fluid and contextual and that ‘managing’ gambling is about re-shaping the self in culturally appropriate ways. It is hoped that aspects of this analysis may be of relevance for understanding the narrative dimensions of addiction and recovery more generally.

Behavioural therapy for smoking cessation: the effectiveness of different intervention types for disadvantaged and affluent smokers.

Background Disadvantaged smokers are less likely to be successful when trying to stop smoking than more affluent smokers. In the UK, NHS Stop Smoking Services (SSS) provide a range of pharmacotherapy and behavioural support, delivered by advisors with a range of backgrounds. Whether the types of support provided and who provides it influence differences in quit rates amongst low SES smokers compared with high SES smokers has not previously been examined. Methods 202,084 records of smokers in England who attended a NHS Stop Smoking Service between July 2010 and June 2011 were acquired. Smokers were followed-up by services at four weeks post quit date. Multilevel logistic regression models of CO validated quits were employed. Disadvantage was explored through the National Statistics Socio-Economic Classification (NS-SEC) and by eligibility for free prescriptions, an indicator of low income amongst adults aged between 19 and 59 in England. Results Affluent smokers were more likely to quit than disadvantaged smokers (OR 1.38 (1.35 to 1.42) for clients who paid for prescriptions compared to those eligible for free prescriptions). 80% of service clients received one-to-one counselling but open group forms of behavioural therapy were more successful (main effect OR 1.26 (1.12 to 1.41)) except amongst some of the most disadvantaged clients (long-term unemployed and prisoners). Closed groups were little deployed and they were not significantly more successful than one-to-one behavioural therapy after controls. Who delivered treatment did make a difference for some clients, with all but the most affluent less likely to be successful if they had been treated by a nurse compared with other types of advisers, including smoking cessation specialists (main effect OR 0.73 (0.65 to 0.83)). Conclusion This study provides further evidence that disadvantaged smokers find quitting more difficult even when they have attended a smoking cessation programme. The findings suggest that open groups should be promoted, although they may not be as effective as other forms of behavioural therapy for the long-term unemployed or prisoners. Further research is required to explore why most groups of smokers who attended services staffed by nurses were less likely to quit than those who received treatment from other types of advisors.

English stop-smoking services:one-year outcomes

The UK is a global leader in stop-smoking support—providing free behavioral support and cessation medication via stop smoking services (SSS) without charge to smokers. This study aimed to explore the client and service characteristics associated with abstinence 52 weeks after quitting. A prospective cohort study of 3057 SSS clients in nine different areas of England who began their quit attempt between March 2012 and March 2013 was conducted. Important determinants of long-term quitting were assessed through quit rates and multivariable logistic regression. Our results showed that the overall weighted carbon monoxide validated quit rate for clients at 52 weeks was 7.7% (95% confidence interval (CI) 6.6–9.0). The clients of advisors, whose main role was providing stop-smoking support, were more likely to quit long-term than advisors who had a generalist role in pharmacies or general practices (odds ratio (OR) 2.3 (95% CI 1.2–4.6)). Clients were more likely to achieve abstinence through group support than one-to-one support (OR 3.4 (95% CI 1.7–6.7)). Overall, one in thirteen people who set a quit date with the National Health Service (NHS) Stop-Smoking Service maintain abstinence for a year. Improving abstinence is likely to require a greater emphasis on providing specialist smoking cessation support. Results from this study suggest that over 18,000 premature deaths were prevented through longer-term smoking cessation achieved by smokers who accessed SSS in England from March 2012 to April 2013, but outcomes varied by client characteristic and the type of support provided.

Smoking cessation and socioeconomic status: An update of existing evidence from a national evaluation of english stop smoking services

Smokers from lower socioeconomic groups are less likely to be successful in stopping smoking than more affluent smokers, even after accessing cessation programmes. Data were analysed from 3057 clients of nine services. Routine monitoring data were expanded with CO validated smoking status at 52-week follow-up. Backwards logistic regression modelling was used to consider which factors were most important in explaining the relationship between SES and quitting. The odds ratio of stopping smoking among more affluent clients, compared with more disadvantaged clients, after taking into account design variables only, was 1.85 (95% CI 1.44 to 2.37) which declined to 1.44 (1.11 to 1.87) when all controls were included. The factors that explained more than 10% of the decline in the odds ratio were age, proportion of friends and family who smoked, nicotine dependence, and taking varenicline. A range of factors contribute to lower cessation rates for disadvantaged smokers. Some of these can be modified by improved smoking cessation service provision, but others require contributions from wider efforts to improve material, human, and social capital.

Top-rated British business research: has the emperor got any clothes?

Business schools have great prestige and charge large amounts of money for their courses. But how good is the science on which they base their prescriptions for action? To find out we examined the published output from the only three British business schools with the highest (5*) research assessment ranking at the time the articles were published. We conclude that theory development and model construction are often elegant. However, the methods used to obtain primary empirical information to confirm or refute the theories or populate models are poor, at least from a positivist or pragmatic ontological perspective. Large scale comparative studies made up only a small proportion of research output from the business schools. Literature reviews were not systematic. The sampling frame and rationale for selection of cases for study are inadequately described. The methods of data collection were frequently not given in sufficient detail to enable the study to be replicated and the conclusions tended to go far beyond what the data by themselves could support. However, this does not have to be the case-there are excellent examples of research in social sciences. We conclude, therefore, that top-rated British business research is a scantily clad emperor.

Prevalence and Impact of Long-term Use of Nicotine Replacement Therapy in UK Stop-Smoking Services: Findings From the ELONS Study

Abstract Background Nicotine replacement therapy (NRT) was licensed for harm reduction in the United Kingdom in 2005, and guidance to UK Stop-Smoking Services (SSS) to include long-term partial or complete substitution of cigarettes with NRT was issued in 2013. Yet, NRT prevalence data and data on changes in biomarkers associated with long-term NRT use among SSS clients are scarce. Methods SSS clients abstinent 4 weeks postquit date were followed up at 12 months. At baseline standard sociodemographic, smoking and SSS use characteristics were collected and of those eligible, 60.6% (1047/1728) provided data on smoking status and NRT use at follow-up. A subsample also provided saliva samples at baseline and of those eligible, 36.2% (258/712) provided follow-up samples. Saliva was analyzed for cotinine (a metabolite of nicotine) and alpha-amylase (a stress biomarker). Results Among those who had used NRT during their initial quit attempt (61.5%, 95% CI 58.4%–64.6%), 6.0% (95% CI 4.3%–8.3%) were still using NRT at 1 year, significantly more ex-smokers than relapsed smokers (9.5% vs. 3.7%; p = .005). In adjusted analysis, NRT use interacted with smoking status to determine change in cotinine, but not alpha-amylase, levels (Wald χ2 (1) = 13.0, p < .001): cotinine levels remained unchanged in relapsed smokers and ex-smokers with long-term NRT use but decreased in ex-smokers without long-term NRT use. Conclusions Long-term NRT use is uncommon in SSS clients, particularly among relapsed smokers. Its use is associated with continued high intake of nicotine among ex-smokers but does not increase nicotine intake in smokers. It does not appear to affect stress response. Implications Little is known about the long-term effects of NRT. Given an increasing shift towards harm reduction in tobacco control, reducing the harm from combustible products by partial or complete substitution with noncombustible products, more data on long-term use are needed. This study shows that in the context of SSS, clients rarely use products for up to a year and that NRT use does not affect users’ stress response. Ex-smokers using NRT long-term can completely replace nicotine from cigarettes with nicotine from NRT; long-term NRT use by continuing smokers does not increase nicotine intake. Long-term NRT appears to be a safe and effective way to reduce exposure to combustible nicotine.

Public attitudes towards alcohol control policies in Scotland and England: Results from a mixed-methods study

The harmful effects of heavy drinking on health have been widely reported, yet public opinion on governmental responsibility for alcohol control remains divided. This study examines UK public attitudes towards alcohol policies, identifies underlying dimensions that inform these, and relationships with perceived effectiveness. A cross-sectional mixed methods study involving a telephone survey of 3477 adult drinkers aged 16–65 and sixteen focus groups with 89 adult drinkers in Scotland and England was conducted between September 2012 and February 2013. Principal components analysis (PCA) was used to reduce twelve policy statements into underlying dimensions. These dimensions were used in linear regression models examining alcohol policy support by demographics, drinking behaviour and perceptions of UK drinking and government responsibility. Findings were supplemented with a thematic analysis of focus group transcripts. A majority of survey respondents supported all alcohol policies, although the level of support varied by type of policy. Greater enforcement of laws on under-age sales and more police patrolling the streets were strongly supported while support for pricing policies and restricting access to alcohol was more divided. PCA identified four main dimensions underlying support on policies: alcohol availability, provision of health information and treatment services, alcohol pricing, and greater law enforcement. Being female, older, a moderate drinker, and holding a belief that government should do more to reduce alcohol harms were associated with higher support on all policy dimensions. Focus group data revealed findings from the survey may have presented an overly positive level of support on all policies due to differences in perceived policy effectiveness. Perceived effectiveness can help inform underlying patterns of policy support and should be considered in conjunction with standard measures of support in future research on alcohol control policies.