Assessing outcome in smoking cessation studies.

Outcome measures for smoking cessation are reviewed and evaluated, including 3 self-report measures and 3 biochemical validation measures. Point prevalence reflects the percentage of participants taking action, prolonged abstinence reflects those in the maintenance stage, and continuous abstinence reflects those who progress from action to maintenance without lapsing or relapsing. Biochemical assessments are primarily measures of point prevalence abstinence. The desirability of biochemical validation is a particularly controversial and critical issue. Three factors affect the accuracy of self-report: Type of Population, Type of Intervention, and Demand Characteristics. False-negative rates are generally low. Three broad issues impact on decisions to use biochemical validation: (a) alternative explanations for false positives, (b) refusal rate problems, and (c) the effect of inaccuracy on intervention assessment.     

Characteristics of exiled smoking from workplaces

Abstract

This paper explores factors influencing the extent of exiled smoking from workplaces: that is leaving work so as to smoke a cigarette. Exiled smoking may be disruptive to work practices and it is a means by which smokers minimise the effects of workplace smoking bans on their daily consumption. As such it reduces possible health benefits that might have resulted from a greater decrease in consumption. Smokers (n = 145) were recruited while engaging in exiled smoking. The results indicate that among this group (of largely regular exiled smokers), indices of addiction were only loosely related to the extent of exiled smoking, and it did not appear to be primarily driven by social benefits. While most preferred taking breaks with company, the lack of company would only inhibit a minority. Perceived improvements in capacity to work was a common reason, as was the opportunity to discuss work related problems. Enjoyment of the cigarette and the opportunity to break up the day were also important. It appears exiled smoking is multiply determined. To the extent addiction is involved, it is not through strongly felt urges to smoke, but is more due to minor irritation such as reduced ability to concentrate. It is suggested that such experiences provide the extra motivation to take a break that non-smokers may think about but rarely feel sufficiently motivated to do.     

Behavior analysis of cigarette smoking

Patterns of cigarette smoking, treated as series of discrete events in time, were investigated with a variety of quantitative techniques designed to characterize individual subject smoking series and to illuminate the relationship between cigarette smoking and environmental events. Data were collected from a total of 35 subjects who were either participants in residential laboratory studies or in a smoking cessation program. Cigarette smoking events were found to be fairly irregularly distributed with respect to time within individual subject series. However, strong dependencies were found between the occurrence in time of individual acts of cigarette smoking and coffee drinking. In addition, the distribution and frequency of smoking events throughout one-hour activity sequences were found to be dependent upon the nature of the activity, and the temporal scheduling of activities was found to affect several quantitative indices of smoking patterns.     

An application of the stress-diathesis model: A review about the association between smoking tobacco,smoking cessation,and mental health

BackgroundWorldwide, approximately 24% of all adults smoke, but smoking is up to twice as prevalent in people with mental ill-health. There is growing evidence that smoking may be a causal risk factor in the development of mental illness, and that smoking cessation leads to improved mental health.MethodsIn this scholarly review we have: (1) used a modern adaptation of the Bradford-Hill criteria to bolster the argument that smoking could cause mental ill-health and that smoking cessation could reverse these effects, and (2) by considering psychological, biological, and environmental factors, we have structured the evidence to-date into a stress-diathesis model.ResultsOur model suggests that smoking is a psychobiological stressor, but that the magnitude of this effect is mediated and modulated by the individual's diathesis to develop mental ill-health and other vulnerability and protective factors. We explore biological mechanisms that underpin the model, such as tobacco induced damage to neurological systems and oxidative stress pathways. Furthermore, we discuss evidence indicating that it is likely that these systems repair after smoking cessation, leading to better mental health.ConclusionBased on a large body of literature including experimental, observational, and novel causal inference studies, there is consistent evidence showing that smoking can negatively affect the brain and mental health, and that smoking cessation could reverse the mental ill-health caused by smoking. Our model suggests that smoking prevention and treatment strategies have a role in preventing and treating mental illness as well as physical illness.     

A measure of perceived pain and tobacco smoking interrelations: pilot validation of the pain and smoking inventory

Mounting evidence indicates that pain can motivate cigarette smoking behavior, smokers have reliably endorsed the use of tobacco to cope with pain, and there is reason to suspect that pain may impede smoking cessation. Smoking-related outcome expectancies are among the best predictors of cigarette consumption and relapse, and the goal of this pilot study was to develop a standardized measure of how tobacco smokers perceive their pain and smoking behavior to be interrelated (i.e. pain as a motivator of smoking, expectancies for smoking as a means of coping with pain, and pain as a barrier to quitting). Participants (N = 75) completed an online survey that was designed to assess interrelations between pain and tobacco smoking. The nine-item Pain and Smoking Inventory (PSI) demonstrated excellent internal consistency (α = .95). As expected, PSI scores were higher among smokers with chronic pain (vs. no pain), and were positively associated with established indices of both pain and tobacco smoking dependence. These results corroborate the notion that smokers can effectively communicate perceptions of interrelations between their pain and smoking behavior. Future research is needed to establish reliability and validity of the PSI among larger, more diverse samples of smokers with varying levels of pain. Future work should also examine PSI scores as predictors of smoking cessation outcomes, and whether PSI data may usefully inform the development of tailored interventions for smokers in pain.     

Evaluation of salivary thiocyanate as an indicator of smoking behavior

Salivary samples from three placement sites and under stimulated and unstimulated flow-rate conditions were collected from 36 participants (18 smokers, 18 nonsmokers) on each of 3 days. These samples were used to determine the best collection methodology for discriminating smokers from nonsmokers, the reliability of salivary thiocyanate (SCN) over days, and the stability of SCN given varying storage treatments. Results showed that SCN levels were significantly higher in smokers than in nonsmokers, in parotid site collections than either sublingual or mixed collections, and in unstimulated collections. Stimulated, mixed samples were reliable across days and were the best discriminator of smokers and nonsmokers. SCN levels did not differ under varying storage treatments. It is recommended that a standard methodology for collecting stimulated, mixed saliva be used when measuring SCN levels.     

The motivational effects of thinking and worrying about the effects of smoking cigarettes

We tested a strategy to encourage cigarette smokers to think more frequently about the negative consequences of smoking, reasoning that increased thought might lead to greater worry and motivation to quit. College students who smoked daily were randomly assigned to one of three conditions in which they wore watches for one week that sounded an alarm randomly four times each day. When alerted, the students read one of eight cards that either had a written statement about studying (control condition), a statement about the negative effects of smoking behaviour (text condition), or a negative smoking statement accompanied by a picture (e.g., a blackened lung; image condition). Measures collected at week's end revealed that the smoking cards had no effects on perceived risk, but they increased worry and reports of intrusive thoughts, and had a small but reliable effect on plans to quit. Correlational data also supported the relationship between worry and motivation to quit, and we discuss the possible benefits of “normal” worrying and strategies for capitalising on the worry–motivation relationship to encourage smokers to abandon cigarettes.     

Parental communication appears not to be an effective strategy to reduce smoking in a sample of Dutch adolescents

This longitudinal study examined the reciprocal effects of the frequency of parent–adolescent communication on tobacco-related issues (smoking-specific communication), and adolescents’ smoking. Participants were 428 Dutch older and younger siblings between 13 and 16 years old. Smoking-specific communication did not affect youth smoking in general; however, among younger, but not older, siblings, smoking-specific communication was associated with a higher likelihood of smoking over time. In addition, when adolescents already smoked parents started to talk more frequently about smoking-related issues with their older and younger adolescents later on. Neither the quality of smoking-specific communication, the quality of parent–adolescent relationship, nor parental smoking moderated these reciprocal effects. In conclusion, prevention campaigns encouraging parents to undertake smoking-specific communication might not be desirable.     

Quitting smoking: The importance of non-smoker identity in predicting smoking behaviour and responses to a smoking ban

Objective: We examined how ‘smoker’ and ‘non-smoker’ self- and group-identities and socio-economic status (SES) may predict smoking behaviour and responses to antismoking measures (i.e. the Dutch smoking ban in hospitality venues). We validated a measure of responses to the smoking ban.

Design: Longitudinal online survey study with one-year follow-up (N = 623 at T1 in 2011; N = 188 at T2 in 2012) among daily smokers.

Main outcome measures: Intention to quit, quit attempts and ‘rejecting’, ‘victimizing’, ‘socially conscious smoking’ and ‘active quitting’ responses to the smoking ban.

Results: Non-smoker identities are more important than smoker identities in predicting intention to quit, quit attempts and responses to the smoking ban, even when controlling for other important predictors such as nicotine dependence. Smokers with stronger non-smoker identities had stronger intentions to quit, were more likely to attempt to quit between measurements, and showed less negative and more positive responses to the smoking ban. The association between non-smoker self-identity and intention to quit was stronger among smokers with lower than higher SES.

Conclusion: Antismoking measures might be more effective if they would focus also on the identity of smokers, and help smokers to increase identification with non-smoking and non-smokers.     

Stages of readiness to quit smoking: population prevalence and correlates.

We examined the population prevalence and correlates of stages in smokers' readiness to quit, using data from 1,048 smokers recruited in a self-weighting, multistage, systematic clustered area sample from 0.44% of South Australian dwellings, with an 89% response rate. Smokers in the precontemplation stage comprised 24.1% of the sample, smokers in the contemplation stage comprised 47.2%, and smokers in the preparation stage comprised 28.7%. No sociodemographic variables (i.e., age, sex, marital status, educational level) were found to be significant independent predictors of membership in the different stages. The five significant independent predictors of being in the precontemplation stage (vs. the contemplation stage) were (a) having a higher confidence of quitting, (b) seeing fewer health risks associated with smoking, (c) not having made an attempt to quit, (d) seeing quitting as more difficult, and (e) smoking 25 or more cigarettes a day. The two significant independent predictors of being in the contemplation stage (vs. the preparation stage) were (a) having lower confidence of quitting and (b) not having tried to quit. We discuss implications for the understanding of smoking behavior in populations and also consider how cessation campaigns might address the factors associated with different stages of readiness to quit.     

The natural history of cigarette smoking: predicting young-adult smoking outcomes from adolescent smoking patterns

Assessed the magnitude of risk that adolescent cigarette smoking carries for adult smoking. Using a longitudinal, prospective design, results indicate that even infrequent experimentation in adolescence significantly raises the risk for adult smoking and that regular (at least monthly) adolescent smoking raises the risk for adult smoking by a factor of 16 compared to nonsmoking adolescents. Relative risk was also increased by an early onset of smoking and by a stable, uninterrupted course from experimentation to regular smoking. Relative risk did not significantly vary by age or sex. The continuity of smoking behavior between adolescence and adulthood supports the importance of primary prevention programs directed at adolescent populations.     

Smoking, body weight, and their effects on smoking behavior: a comprehensive review of the literature

This article provides a comprehensive review of the research on smoking and body weight. The relationships between smoking and body weight are evaluated in 70 cross-sectional and longitudinal investigations. The mechanisms responsible for differences in body weight are discussed, the weight-related issues that promote smoking behavior are reviewed, methods for reducing postcessation weight gain are summarized, and future research directions are proposed. A proposed working research model for studying the relationship between smoking, energy balance, and weight gain is offered. It is concluded that smoking and body weight relationships are closely related and pose significant challenges for smoking researchers.     

Smoking in movies, implicit associations of smoking with the self, and intentions to smoke

We examined whether identifying with a film character who smokes increases implicit associations of the self with smoking. Undergraduate men were randomly assigned to view film clips in which the male protagonist either smoked or did not smoke. We measured subsequent levels of self-smoking associations using a reaction time task, as well as self-reported beliefs about smoking and smokers. Greater identification with the smoking protagonist predicted stronger implicit associations between the self and smoking (for both smokers and nonsmokers) and increased intention to smoke (among the smokers). Stronger implicit self-smoking associations uniquely predicted increases in smokers' intentions to smoke, over and above the effects of explicit beliefs about smoking. The results provide evidence that exposure to smoking in movies is causally related to changes in smoking-related thoughts, that identification with protagonists is an important feature of narrative influence, and that implicit measures may be useful in predicting deliberative behavior.     

Immediate antecedents of cigarette smoking: an analysis of unrestricted smoking patterns

Theory suggests that cigarette smoking is under stimulus control and that affect is a key trigger for smoking. A previous study (S. Shiftman et al., 2002) showed little relationship between affect and smoking, but this relationship could have been suppressed by the impact of smoking restrictions. The study evaluated these associations in a 1988 sample that was subject to few smoking restrictions. Smokers (N = 28) not seeking treatment used palmtop computers to record context and affect prior to smoking (n = 2217 observations) and also at random times when not smoking (n = 2,380). Comparisons showed little relationship between smoking and affect. Smoking was associated with particular activities and locations. Urge to smoke was the strongest predictor of smoking. The results replicated the findings of S. Shiffman et al. (2002).     

The effects of beliefs about smoking and health on smoking cessation

The purpose of this study was to examine whether beliefs of an American sample about smoking and health, as defined by cognitive orientation theory, would determine those smoking cessation program participants who would become abstainers and those who would not. Although the smoking cessation program was not designed to influence the specific kinds of beliefs studied, subscales measuring two of the four types of beliefs differentiated participants who would become abstainers from those who would not. Abstainers tended to have stronger goal beliefs about their desire to quit smoking, and stronger beliefs about the health-related implications of smoking. Participants' beliefs that they could resist an urge to smoke, which implied the use of coping skills, were more important in determining who would abstain from smoking than was their confidence that they could quit smoking, which implied the use of willpower.     

Pain, nicotine, and smoking: research findings and mechanistic considerations

Tobacco addiction and chronic pain represent 2 highly prevalent and comorbid conditions that engender substantial burdens upon individuals and systems. Interrelations between pain and smoking have been of clinical and empirical interest for decades, and research in this area has increased dramatically over the past 5 years. We conceptualize the interaction of pain and smoking as a prototypical example of the biopsychosocial model. Accordingly, we extrapolated from behavioral, cognitive, affective, biomedical, and social perspectives to propose causal mechanisms that may contribute to the observed comorbidity between these 2 conditions. The extant literature was 1st dichotomized into investigations of either effects of smoking on pain or effects of pain on smoking. We then integrated these findings to present a reciprocal model of pain and smoking that is hypothesized to interact in the manner of a positive feedback loop, resulting in greater pain and increased smoking. Finally, we proposed directions for future research and discussed clinical implications for smokers with comorbid pain disorders. We observed modest evidence that smoking may be a risk factor in the multifactorial etiology of some chronically painful conditions and that pain may come to serve as a potent motivator of smoking. We also found that whereas animal studies yielded consistent support for direct pain-inhibitory effects of nicotine and tobacco, results from human studies were much less consistent. Future research in the emerging area of pain and smoking has the potential to inform theoretical and clinical applications with respect to tobacco smoking, chronic pain, and their comorbid presentation. (PsycINFO Database Record (c) 2011 APA, all rights reserved).     

Debunking myths about self-quitting. Evidence from 10 prospective studies of persons who attempt to quit smoking by themselves

This article examines data from 10 longterm prospective studies (N greater than 5,000) in relation to key issues about the self-quitting of smoking, especially those discussed by Schachter. When a single attempt to quit was evaluated, self-quitters' success rates were no better than those reported for formal treatment programs. Light smokers (20 or less cigarettes per day) were 2.2 times more likely to quit than heavy smokers. The cyclical nature of quitting was also examined. There was a moderate rate (mdn = 2.7%) of long-term quitting initiated after the early months (expected quitting window) of these studies, but also a high rate (mdn = 24%) of relapsing for persons abstinent for six months. The number of previous unsuccessful quit attempts was unrelated to success in quitting. Finally, there were few occasional smokers (slips) among successful long-term quitters. We argue that quitting smoking is a dynamic process, not a discrete event.     

同伴、父母对青少年吸烟认识、吸烟行为的相对影响力

以1042名初一至高三学生为被试,考察了最要好同伴、父母对青少年吸烟认识和吸烟行为的相对影响力,以及同伴和父母对青少年吸烟行为的影响方式和影响途径。结果发现:(1)与父母作用相比,最要好同伴吸烟行为和态度对青少年吸烟认识的作用力要更大。但在不同的群体上,父母的影响力加强了;(2)与青少年吸烟认识相比,父母对青少年吸烟行为的作用力加大了,这种影响力同样表现在不同的群体上;(3)青少年的吸烟认识可以显著地预测其吸烟行为;(4)最要好同伴吸烟行为和态度、父母吸烟行为、青少年对吸烟的认识可以直接影响青少年的吸烟行为,而且最要好同伴吸烟行为和态度又通过青少年的吸烟认识对其吸烟行为产生间接的作用;(5)最要好同伴吸烟行为对青少年吸烟行为的影响力要大于父母的影响力。     

Passive smoking is associated with cognitive and emotional impairment in adolescent girls

It is well established that smoking is associated with impaired mental health and sleep problems. However, the possible effects of passive smoking on cognitive and emotional characteristics have not previously been evaluated in adolescents. We investigated the association between passive smoking and cognitive and emotional function, and sleep patterns in 940 adolescent girls. The girls were divided into two groups [305 exposed subjects and 635 non-exposed subjects (the controls)]. The passive smokers had a significantly lower cognitive function and higher depression, aggression, and insomnia scores compared to the control group (P?<?0.05). No significant difference was detected with respect to day-time sleepiness and sleep apnea. Logistic regression analyses showed that the passive smokers were more likely than the controls to have cognitive impairments, depressive mood, aggressive behavior, and insomnia. Adolescent passive smokers had significant differences in their cognitive abilities and emotional function.