助推戒烟的行为干预策略

烟草危害是人类所面临的重大公共健康挑战之一。传统的控烟策略主要依赖健康宣教、烟草税和控烟条例等手段,但是较少考虑到吸烟行为的“非理性因素”及其心理机制,因此仍不能有效帮助吸烟者成功戒烟。行为科学的发展为助推吸烟者成功戒烟提供了新视角。以实施主体和干预的影响机制为划分标准,可将助推戒烟的行为干预策略分为由政府和公共健康服务部门执行的情境型干预策略和认知型干预策略以及吸烟者可自主执行的情境型和认知型干预策略,一方面便于吸烟者和相关部门选取可执行的戒烟行为干预策略,另一方面为进一步开发和验证助推戒烟的行为干预策略提供参考。虽然基于行为科学的助推干预策略已经取得了一定的进展,未来研究仍有必要进一步在真实世界中验证和评估戒烟助推干预策略的效果。未来也有必要进一步将行为改变技术融入到数字化的戒烟服务或应用小程序中去以提升其效果。未来也需要考察如何应用戒烟助推干预策略防止电子烟产品的负面影响并减少这类策略的误用和滥用。     

The relationship of body image dissatisfaction to cigarette smoking in college students

This study examined the association of cigarette smoking status and body image dissatisfaction as measured by the Multidimensional Body-Self Relations Questionnaire (MBSRQ), in 1575 young adult college students, 18–24 years of age. Respondents were current cigarette smokers (N = 482) or never tobacco users (N = 1093). Smoking status was found to be significantly associated with 5 of the 10 MBSRQ subscales, with current smokers having lower scores on Fitness Orientation, Health Evaluation and Health Orientation (all p < 0.001) and higher scores on Appearance Orientation (p = 0.01) and Overweight Preoccupation (p = 0.03) compared with never tobacco users. Furthermore, among current smokers, a higher number of days smoked in the last 30 days were associated with lower scores on all MBSRQ subscales, except Self-Classified Weight. In terms of clinical implications, interventions for smoking cessation among college students might benefit from inclusion of components for addressing body image dissatisfaction and improving health beliefs.     

Obsessive-compulsive symptoms and cigarette smoking: an initial cross-sectional test of mechanisms of co-occurrence

ABSTRACT

Tobacco addiction and obsessive-compulsive symptoms (OCS; intrusive thoughts or impulses that cause distress and rituals) are both mediated by compulsivity and negative reinforcement. Little evidence exists to guide theory, research, treatment, and population-based prevention of this co-occurrence. We propose a conceptual model of OCS-smoking co-occurrence in which smokers with elevated OCS capitalize on smoking to assuage OCS. This secondary analysis examined associations between OCS levels and self-reported smoking motives that are model-concordant: i) negative reinforcement—smoking for relief; ii) sensorimotor—benefits of behaviors and sensations of the tobacco self-administration ritual; and iii) habitual—smoking without conscious control. A community sample of cigarette smokers enrolled in a cessation trial (N = 458; 47.2% female; M _age = 36.9; SD = 13.6) completed pre-quit self-report measures of OCS levels and smoking motives. Regression models adjusted for sociodemographic covariates and non-OCS psychopathologies indicated that OCS level was positively associated with each model-concordant motive. OCS level was also correlated with tobacco dependence severity and greater withdrawal symptom severity experienced during previous quit attempts. Those with higher OCS report greater motivation to smoke for negative reinforcement, sensorimotor behavioral-ritualistic, habit/automaticity, and stimulation reasons. Further examination of the proposed model of OCS-smoking co-occurrence is warranted to guide theory and intervention for this population.     

Prevalence and predictors of transitions in smoking behavior among college students.

The prevalence of smoking among college students is surprisingly high and represents a significant public health issue. However, there are few longitudinal studies of smoking in this population. This study examined the prevalence and predictors of transitions in smoking behavior among a cohort of 548 college students. Over the course of 4 years, 87% of daily smokers and almost 50% of occasional smokers continued to smoke. Among nonsmokers, 11.5% began smoking occasionally and none became daily smokers. In general, predictors of smoking behavior change were significant only among baseline occasional smokers and included gender, smoking outcome expectancies, and affect regulation expectations. Peer and parental smoking, demographics, affect, stress, and alcohol use were generally not predictive of change. Tobacco control interventions targeted at college students are clearly warranted.     

Predictors of smoking cessation in Taiwan: using the theory of planned behavior

This study aimed to explore the factors predicting the intention to quit smoking and the subsequent behavior 6 months later using the theory of planned behavior (TPB). Data were obtained from 145 smokers who attended a smoking cessation clinic in a community hospital. All participants completed a questionnaire which included demographic information, TPB-based items, perceived susceptibility and previous attempts to quit. The actual quitting behavior was obtained by follow-up phone calls 6 months later. The TPB constructs explained 34% of the variance in intention to quit smoking. By adding perceived susceptibility, the explained variance was significantly improved to 40%. The most important predictors were perceived behavior control and perceived susceptibility, followed by attitude. Subjective norm did not contribute to the prediction of intention. Attitude and perceived behavior control contributed to the prediction of actual quitting behavior, but intention, subjective norm and perceived susceptibility did not. Our findings support that the TPB is generally a useful framework to predict the intention to quit smoking in Taiwan. The inclusion of perceived susceptibility improved the prediction of intention. With regards to successfully quitting, attitude and perceived behavior control played more crucial roles than other TPB constructs. Smoking cessation promotion initiatives focusing on reinforcing cessation belief, enhancing a smoker’s perception of their capability to quit smoking, and persuading smokers that they can overcome cessation barriers to cessation could make subsequent interventions more effective.     

Age and pre quit-day attrition during smoking cessation treatment

ABSTRACT

The present study aimed to replicate the finding that younger age predicts higher pre quit-day attrition. Our second aim was to explain this relation by examining empirically and theoretically informed age-related risk factors for low smoking cessation treatment engagement. 136 participants (M _age = 44.2 years, SD = 11.3 years; age = 22–64 years) were randomized to 15-weeks of either 1) an exercise intervention (n = 72) or 2) a wellness education control condition (n = 64). First, a logistic regression analysis was employed to test whether younger adults were more likely than older adults to drop prior to quit date. Next, we assessed whether smoking related health concerns, social expectancies, and/or perceived severity of craving affected the strength of the relation between age and attrition, by adding these three variables to the logistic regression along with age. The logistic regression model indicated that younger age and treatment condition were significantly related to the odds of dropping from treatment prior to the scheduled quit date. Further, health concerns, social expectancies, and/or perceived severity of cravings did not account for the effect of age on pre quit-day attrition. These findings highlight the importance of identifying empirically and theoretically informed variables associated with the pre quit-day attrition problem of young smokers.     

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.     

The effectiveness of smoking cessation programs: Determinants and outcomes

Abstract

In this review, smoking cessation is discussed from a stress and coping perspective. Nicotine has been found to produce potentially reinforcing effects. Smoking cessation is best characterized as a process with various stages, of which the stage of relapse remains a major area for intervention research. Mood and expectancies appear to be major determinants of behavior in this stage. Social support apparently still needs conceptual refinement before it may be applied effectively in interventions. Effects of multicomponent treatment has been found to be increased when combined with nicotine replacement therapy. Notwithstanding the sometimes modest quit rates, smoking cessation has been found to be cost-effective among high-risk groups, both from an economical and health perspective. New research should focus on emotional and cognitive processes involved in cessation, in particularly self-efficacy expectations. While public policies may be most efficient in reducing the number of smokers in our society, an increasing number of smokers will be confronted with the addictive character of their smoking.     

Anxiety, anxiety disorders, tobacco use, and nicotine: a critical review of interrelationships

Smoking is highly prevalent across most anxiety disorders. Tobacco use increases risk for the later development of certain anxiety disorders, and smokers with anxiety disorders have more severe withdrawal symptoms during smoking cessation than smokers without anxiety disorders. The authors critically examined the relationships among anxiety, anxiety disorders, tobacco use, and nicotine dependence and reviewed the existing empirical literature. Future research is needed to better understand the interrelationships among these variables, including predictors, moderators, and mechanisms of action. Increased knowledge in these areas should inform prevention efforts as well as the development and improvement of smoking cessation programs for those with anxiety and other psychiatric disorders.     

Quality of life after quitting smoking and initiating aerobic exercise

Quitting smoking and aerobic exercise each improve health. Although smokers may be concerned that quitting smoking will reduce their quality of life (QOL), recent research has shown that cessation is associated with QOL benefits. Elements of smoking cessation interventions, such as exercise, may contribute to changes in QOL. However, it is unknown whether initiating exercise in the context of smoking cessation is associated with greater or different effects on QOL than smoking cessation alone. The current study is a secondary analysis of data from a randomized trial (n = 61) of an exercise intervention for smoking cessation. We hypothesized that smoking abstinence and engagement in exercise would have positive, additive effects on QOL at end-of-treatment, 6- and, 12-month follow-ups. Sedentary adult smokers were randomized to the exercise intervention or a health education control (HEC) group. Additionally, all participants received smoking cessation counseling and nicotine patches. Data were analyzed using actual engagement in exercise, rather than group assignment as a proxy for exercise engagement, because some HEC participants also began exercising. Abstinence was positively associated with higher total and physical health QOL at follow-up. Exercise was not associated with total QOL and only marginally associated with physical health QOL, but was positively related to overall sense of well-being. Emphasizing that smoking cessation is associated with higher QOL may help motivate smokers to initiate quit attempts.     

Implicit associations between smoking and social consequences among smokers in cessation treatment

Explicit expectations of the negative and positive social consequences of smoking are likely to have substantial influence on decisions regarding smoking. However, among smokers trying to quit, success in smoking cessation may be related not only to the content of expectancies about smoking's social effects but also to the ease with which these cognitive contents come to mind when confronted with smoking stimuli. To examine this possibility, we used the implicit association test (IAT) [Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998). Measuring individual differences in implicit cognition: The implicit association test. Journal of Personality and Social Psychology, 74, 1464-1480] to assess implicit cognitive associations between smoking and negative vs. positive social consequences among 67 heavy social drinkers seeking smoking cessation treatment in a randomized clinical trial. Results showed that the relative strength of implicit, negative, social associations with smoking at baseline predicted higher odds of smoking abstinence during treatment over and above the effects of relevant explicit measures. The only variable that significantly correlated with IAT scores was the density of smokers in participants' social environment; those with more smoking in their social environment showed weaker negative social associations with smoking. Results suggest implicit cognition regarding the social consequences of smoking may be a relevant predictor of smoking cessation outcome.     

Predicting Relationship of Smoking Behavior Among Male Saudi Arabian College Students Related to Their Religious Practice

This study describes the relationships of smoking behavior among a sample of male college students in Kingdom of Saudi Arabia (KSA) to their religious practice, parents’ smoking behaviors and attitudes, peers’ smoking behaviors and attitudes, and knowledge about the dangers of smoking. A 49-item questionnaire was developed and pilot tested in KSA. This questionnaire was completed during the academic year 2013 by 715 undergraduate male students at the King Saud University in Riyadh. 29.8 % of the students were smokers (13.8 % cigarette smokers, 7.3 % sheesha smokers, and 27 % cigarette and sheesha smokers). Students in the College of Education were much more likely to be smokers than the students in the College of Science. The differences between the College of Education and the College of Science was statistically significant (χ² = 16.864. df = 1, p = .001). Logistic regression analysis suggested that students who were more faithful in their practice of Islam were 15 % less likely to smoke. Students who were more knowledgeable about the dangers of smoking were 8 % less likely to smoke. The logistic analysis identified peers (friends) as the most powerful factor in predicting smoking. The four-factor model had an overall classification accuracy of 78 %. The need to understand more fully the dynamics of peer relations among Saudi Arabian males as a basis for developing tobacco education/prevention programs. Prevention programs will need to include education and changes in the college level or earlier in KSA.     

Evaluating the role of anxiety sensitivity in barriers to cessation and reasons for quitting among smokers with asthma

The aim of the present study was to examine the unique predictive ability of anxiety sensitivity (AS) in terms of perceived barriers to cessation and smoking cessation motives among daily smokers with asthma (n = 125, 54% male, M_age = 37.7 years, SD = 12.1). As hypothesized, after controlling for the effects of race, asthma control, negative affect, and smoking rate, AS significantly predicted greater barriers to cessation, and reasons for quitting related to health concerns and self-control. Contrary to hypotheses, AS did not significantly predict external reasons for quitting. These findings suggest that smokers with asthma who are fearful of physiological arousal may be a particularly ‘at-risk’ population for smoking cessation difficulties due, in part, to greater perceived barriers to cessation. Interventions focused on enhancing intrinsic motivation for quitting and reducing AS may be most effective for this population.     

Understanding smoking after acute illness: An application of the sentinel event method

The sentinel event theory provides a stepwise approach for building models to understand how negative events can spark health behaviour change. This study tested a preliminary model using the sentinel events method in a sample (N = 300) of smokers who sought care for acute cardiac symptoms. Patients completed measures on: smoking-related causal attribution, perceived severity of the acute illness event, illness-related fear and intentions to quit smoking. Patients were followed up one week after the health event and a seven-day timeline follow back was completed to determine abstinence from tobacco. Structural equation models were performed using average predictor scale scores at baseline, as well as three different time anchors for ratings of illness severity and illness-related fear. Quit intentions, actual illness severity and age were the consistent, positive and independent predictors of seven-day point prevalence abstinence. Additional research on the influences of perceptions and emotional reactions is warranted.     

Outcome expectations and use of smokeless tobacco (snus): A cross‐sectional study among young Norwegian snus users

Wiium, N. & Aarø, L.E. (2011). Outcome expectations and use of smokeless tobacco (snus): A cross‐sectional study among young Norwegian snus users. Scandinavian Journal of Psychology 52, 64–70. In this study, measures of outcome expectancies related to use of snus (wet snuff) were used to predict reported frequency of snus use. Data stem from a nation‐wide survey in Norway among 16‐ to 20‐year‐olds. Only users of snus were included in the statistical analyses (n = 589). The main outcome measure, frequency of snus use, was measured as a categorical variable – occasional, weekly and daily use. Four dimensions of outcome expectancies (mood regulation, smoking control, weight control and negative health outcomes) were measured and confirmed in a confirmatory factor analysis. Informants tended to believe that snus use is harmful to health, but still they supported the idea of snus as a way to control own cigarette smoking. In a SEM model, two of the four dimensions of outcome expectancies turned out to be particularly significant predictors of frequency of snus use – mood regulation and smoking control. No significant interactions with gender were found. Males scored higher than females on “mood regulation”, and “smoking control”, while females scored higher than males on “negative health outcomes”. If more smokers were convinced that snus use is a less harmful alternative, more of them might start using snus, not only because there is some association between health outcome expectancies and snus use, but also because snus use by many is perceived as a remedy to stop smoking and as a way to gain some of the mood regulation benefits which are usually associated with smoking.     

Perceived Health: A Test of Incremental Validity in Relation to Smoking Outcome Expectancies,Motivation to Smoke and Desire to Quit Smoking

This study examined the role of perceived health in predicting theoretically‐relevant aspects of smoking behavior among 161 young adult regular smokers (67 females; mean age = 21.9 years (SD = 7.2), cigarettes per day (M) = 12.2 (SD = 5.7)) recruited from the general community. Consistent with prediction, results indicated that relative to anxiety sensitivity, gender, number of cigarettes smoked per day and nicotine dependence, perceived physical health uniquely and significantly predicted expectancies for negative affect reduction and expectancies that smoking would lead to negative personal consequences. Additionally, perceived health incrementally predicted motivation to smoke to reduce negative affect. In contrast to expectation, perceived health was unrelated to motivation to quit smoking. Results are discussed in relation to the role of perceived health as a cognitive vulnerability factor for specific types of smoking patterns.     

Pain as a motivator of smoking: effects of pain induction on smoking urge and behavior

Tobacco smoking has been associated with the development and exacerbation of chronically painful conditions. Conversely, there is reason to believe that smokers may be motivated to use tobacco as a means of coping with their pain. To date, no controlled, experimental studies have tested for a causal relationship between pain and smoking motivation. The primary aim of the current study was to test the hypothesis that laboratory-induced cold pressor pain would enhance smoking motivation, as measured by self-reported urge to smoke and observation of immediate smoking behavior. Smokers (N=132) were randomly assigned to either pain or no pain conditions. Results indicated that situational pain increased urge ratings and produced shorter latencies to smoke. The relationship between pain and increased urge to smoke was partially mediated by pain-induced negative affect. The relationship between pain and shorter latency to smoke was fully mediated by pain-induced urge to smoke. This study provides the 1st experimental evidence that situational pain can be a potent motivator of smoking.     

Demonstration of an Integrated Treatment for Smoking Cessation and Anxiety Symptoms in People With HIV: A Clinical Case Study

Despite high rates of co-occurring tobacco use and anxiety symptoms and disorders among persons with HIV, evidence-based interventions for these individuals are not yet available. The present study sought to evaluate an integrated treatment model addressing smoking cessation and anxiety sypmtoms among HIV-positive smokers. Treatment was an 8-week intervention integrating a standard smoking cessation protocol (i.e., cognitive-behavioral therapy [CBT], nicotine replacement therapy) with CBT for anxiety. Inclusion criteria were 18–65 years of age, ≥ 10 cigarettes/day, State–Trait Anxiety Inventory [STAI-T] score of > 39, and moderate motivation (i.e., ≥ 5 out of 10 on a 10-point Likert scale) to quit smoking. Primary outcomes included scores on the Anxiety Sensitivity Index (ASI) and cigarettes smoked per day. Self-reported abstinence was biochemically verified by carbon monoxide breath analysis. Three male participants (mean age 49.3, SD = 9.1) completed through 2-month follow-up. At baseline all participants reported smoking an average of 20 cigarettes per day. Two participants quit smoking and maintained abstinence by the 2-month follow-up, and demonstrated a reduction in ASI scores. Participant 3 continued to smoke but at a reduced rate. Participants’ response to cognitive and behavioral strategies (e.g., creating balanced thoughts, interoceptive exposures) will be discussed. Clinical lessons learned include use of a flexible approach to cognitive restructuring, use of imaginal and in vivo exposures in session to better prepare patients for homework practice, and flexibility in delivering the treatment in an individual or group format. This clinical presentation provides preliminary support for the feasibility and initial effectiveness of an integrated treatment to reduce anxiety symptoms and aid in smoking cessation in anxious, HIV-positive smokers.     

Emotional distress and tobacco demand during the menstrual cycle in female smokers

Fluctuations in ovarian hormones over the menstrual cycle contribute to cigarette reward, however less is known about menstrual cycle influences on emotional distress in female smokers. We examined between-group differences in emotional distress (negative affectivity, emotion dysregulation, distress intolerance) and hypothetical cigarette purchasing (i.e. tobacco demand) among female smokers at three different menstrual stages. Women (n = 32) were non-treatment seeking daily smokers not on hormonal contraceptive, and were currently in their follicular (estradiol-dominant; n = 10), early-mid luteal (progesterone-dominant; n = 15), and late-luteal phase (decreasing progesterone/estradiol; n = 7). Effect sizes are reported given the small sample. Women in the late-luteal phase, relative to the follicular and early-mid luteal phases, reported higher levels of negative affectivity (d = 0.69), emotion dysregulation (d = 1.03), and distress intolerance (d = ?0.86). Compared to the early-mid luteal and late-luteal phases, women in the follicular phase reported the highest hypothetical cigarette consumption when cigarettes were free (d = 0.71) and made the largest maximum expenditures on cigarettes (d = 0.74). Findings offer preliminary evidence that the late-luteal phase is characterized by emotional distress, and the follicular phase is associated with elevated tobacco demand, which if replicated could implicate ovarian hormones in emotion-focused smoking.     

Young adult e-cigarette users’ reasons for liking and not liking e-cigarettes: A qualitative study

Objective: To gain an in-depth understanding of what young adult electronic- or e-cigarette users like or dislike about e-cigarettes. We aimed to determine the reasons that may encourage young adults to use e-cigarettes or discourage them from using e-cigarettes.

Design: Twelve focus group discussions were conducted with 62 current daily e-cigarette users (63% men) of mean age = 25.1 years (standard deviation = 5.5). Data were analysed following principles of inductive content analysis.

Results: Results indicated 12 categories of reasons for liking e-cigarettes (e.g. recreation, smoking cessation) and 6 categories of reasons for not liking e-cigarettes (e.g. poor product quality, poor smoking experience).

Conclusions: Young adults’ motives for using or not using e-cigarettes appear to be varied and their relative importance in terms of predicting e-cigarette use initiation, dependence, and cigarette/e-cigarette dual use needs to be carefully studied in population-based, empirical studies. The current findings suggest that e-cigarettes may serve social, recreational, and sensory expectancies that are unique relative to cigarettes and not dependent on nicotine. Further, successful use of e-cigarettes in smoking cessation will likely need higher standards of product quality control, better nicotine delivery efficiency and a counselling component that would teach smokers how to manage e-cigarette devices while trying to quit smoking cigarettes.