Dynamic self-efficacy and outcome expectancies: prediction of smoking lapse and relapse

Decay of impact after self-management education for people with chronic illnesses: changes in anxiety and depression over one year

BACKGROUND

In people with chronic illnesses, self-management education can reduce anxiety and depression. Those benefits, however, decay over time. Efforts have been made to prevent or minimize that "decay of impact", but they have not been based on information about the decay's characteristics, and they have failed. Here we show how the decay's basic characteristics (prevalence, timing, and magnitude) can be quantified. Regarding anxiety and depression, we also report the prevalence, timing, and magnitude of the decay.

METHODS

Adults with various chronic conditions participated in a self-management educational program (n = 369). Data were collected with the Hospital Anxiety and Depression Scale four times over one year. Using within-person effect sizes, we defined decay of impact as a decline of ≥0.5 standard deviations after improvement by at least the same amount. We also interpret the results using previously-set criteria for non-cases, possible cases, and probable cases.

RESULTS

Prevalence: On anxiety, decay occurred in 19% of the participants (70/369), and on depression it occurred in 24% (90/369). Timing: In about one third of those with decay, it began 3 months after the baseline measurement (6 weeks after the educational program ended). Magnitude: The median magnitudes of decay on anxiety and on depression were both 4 points, which was about 1 standard deviation. Early in the follow-up year, many participants with decay moved into less severe clinical categories (e.g., becoming non-cases). Later, many of them moved into more severe categories (e.g., becoming probable cases).

CONCLUSIONS

Decay of impact can be identified and quantified from within-person effect sizes. This decay occurs in about one fifth or more of this program's participants. It can start soon after the program ends, and it is large enough to be clinically important. These findings can be used to plan interventions aimed at preventing or minimizing the decay of impact.

Weekly variability in outcome expectations: examining associations with related physical activity experiences during physical activity initiation

Little is known about how outcome expectations change after physical activity initiation and whether changes are associated with physical activity experiences. In a diary study, physically inactive adults (N = 102) initiated an exercise regimen and reported their experiences daily (e.g. progress toward goals) and corresponding outcome expectations weekly (e.g. how much progress they expect this week). Average levels (between-person effects) for eight experiences (ps < .01) and deviations from the average levels (within-person effects) for three experiences (ps < .05) were associated with changes in outcome expectations. The findings demonstrate that outcome expectations for exercise vary over time and are associated with people's subjective experiences.

Neighborhood vigilance, health locus of control, and smoking abstinence

OBJECTIVES

To examine whether health locus of control mediated relations of self-reported neighborhood vigilance and biochemically verified, continuous short-term smoking abstinence among 200 smokers enrolled in a cohort study.

METHODS

A nonparametric bootstrapping procedure was used to assess mediation.

RESULTS

Health locus of control-chance mediated relations between neighborhood vigilance and smoking abstinence in analyses adjusted for sociodemographics and tobacco dependence (p < .05). Greater vigilance was associated with greater attributions that health was affected by chance, which was associated with a lower likelihood of smoking abstinence.

CONCLUSIONS

Results suggest that neighborhood perceptions influence residents' attributions for health outcomes, which can affect smoking abstinence.

Ecological momentary assessment in alcohol, tobacco, cannabis and opiate dependence: a comparison of feasibility and validity

BACKGROUND

Despite growing use of computerized ambulatory monitoring in substance dependence research, little is known about the comparative feasibility and validity of these novel methods by substance type. This study compares the feasibility and validity of computerized ambulatory monitoring in outpatients seeking treatment for alcohol, tobacco, cannabis or opiate dependence.

METHODS

A total of 109 participants were recruited from an outpatient treatment center and completed standard clinical instruments followed by 2 weeks of computerized ambulatory monitoring of daily life experiences and substance use.

RESULTS

Individuals with cannabis dependence had the lowest rates of study acceptance (31%) as well as compliance with the repeated electronic interviews (79.9%), while those with tobacco dependence had the highest rates (62% and 91.0%, respectively). Concurrent validity was found between scores from standard clinical instruments and similar constructs assessed in daily life, with no difference by substance group. While no fatigue effects were detected, change in some variables was observed as a function of time in the study.

CONCLUSIONS

Computerized ambulatory protocols are feasible and provide valid data in individuals with diverse forms of dependence, but compliance to repeated sampling methodology may vary by substance type.

Using the time-varying effect model (TVEM) to examine dynamic associations between negative affect and self confidence on smoking urges: differences between successful quitters and relapsers

With technological advances, collection of intensive longitudinal data (ILD), such as ecological momentary assessments, becomes more widespread in prevention science. In ILD studies, researchers are often interested in the effects of time-varying covariates (TVCs) on a time-varying outcome to discover correlates and triggers of target behaviors (e.g., how momentary changes in affect relate to momentary smoking urges). Traditional analytical methods, however, impose important constraints, assuming a constant effect of the TVC on the outcome. In the current paper, we describe a time-varying effect model (TVEM) and its applications to data collected as part of a smoking-cessation study. Differentiating between groups of short-term successful quitters (N = 207) and relapsers (N = 40), we examine the effects of momentary negative affect and abstinence self-efficacy on the intensity of smoking urges in each subgroup in the 2 weeks following a quit attempt. Successful quitters demonstrated a rapid reduction in smoking urges over time, a gradual decoupling of the association between negative affect and smoking urges, and a consistently strong negative effect of self-efficacy on smoking urges. In comparison, relapsers exhibited a high level of smoking urges throughout the post-quit period, a time-varying and, generally, weak effect of self-efficacy on smoking urges, and a gradual reduction in the strength of the association between negative affect and smoking urges. Implications of these findings are discussed. The TVEM is made available to applied prevention researchers through a SAS macro.

Predictive value of readiness, importance, and confidence in ability to change drinking and smoking

Background

Visual analog scales (VAS) are sometimes used to assess change constructs that are often considered critical for change. Aims of Study: 1.) To determine the association of readiness to change, importance of changing and confidence in ability to change alcohol and tobacco use at baseline with the risk for drinking (more than 21 drinks per week/6 drinks or more on a single occasion more than once per month) and smoking (one or more cigarettes per day) six months later. 2.) To determine the association of readiness, importance and confidence with alcohol (number of drinks/week, number of binge drinking episodes/month) and tobacco (number of cigarettes/day) use at six months.

Methods

This is a secondary analysis of data from a multi-substance brief intervention randomized trial. A sample of 461 Swiss young men was analyzed as a prospective cohort. Participants were assessed at baseline and six months later on alcohol and tobacco use, and at baseline on readiness to change, importance of changing and confidence in ability to change constructs, using visual analog scales ranging from 1–10 for drinking and smoking behaviors. Regression models controlling for receipt of brief intervention were employed for each change construct. The lowest level (1–4) of each scale was the reference group that was compared to the medium (5–7) and high (8–10) levels.

Results

Among the 377 subjects reporting unhealthy alcohol use at baseline, mean (SD) readiness, importance and confidence to change drinking scores were 3.9 (3.0), 2.7 (2.2) and 7.2 (3.0), respectively. At follow-up, 108 (29%) reported no unhealthy alcohol use. Readiness was not associated with being risk-free at follow-up, but high importance (OR 2.94; 1.15, 7.50) and high confidence (OR 2.88; 1.46, 5.68) were. Among the 255 smokers at baseline, mean readiness, importance and confidence to change smoking scores were 4.6 (2.6), 5.3 (2.6) and 5.9 (2.7), respectively. At follow-up, 13% (33) reported no longer smoking. Neither readiness nor importance was associated with being a non-smoker, whereas high confidence (OR 3.29; 1.12, 9.62) was.

Conclusions

High confidence in ability to change was associated with favorable outcomes for both drinking and smoking, whereas high importance was associated only with a favorable drinking outcome. This study points to the value of confidence as an important predictor of successful change for both drinking and smoking, and shows the value of importance in predicting successful changes in alcohol use.

Trial registration number

ISRCTN78822107

Preventing smoking relapse via Web-based computer-tailored feedback: a randomized controlled trial

Background

Web-based computer-tailored approaches have the potential to be successful in supporting smoking cessation. However, the potential effects of such approaches for relapse prevention and the value of incorporating action planning strategies to effectively prevent smoking relapse have not been fully explored. The Stay Quit for You (SQ4U) study compared two Web-based computer-tailored smoking relapse prevention programs with different types of planning strategies versus a control group.

Objectives

To assess the efficacy of two Web-based computer-tailored programs in preventing smoking relapse compared with a control group. The action planning (AP) program provided tailored feedback at baseline and invited respondents to do 6 preparatory and coping planning assignments (the first 3 assignments prior to quit date and the final 3 assignments after quit date). The action planning plus (AP+) program was an extended version of the AP program that also provided tailored feedback at 11 time points after the quit attempt. Respondents in the control group only filled out questionnaires. The study also assessed possible dose–response relationships between abstinence and adherence to the programs.

Methods

The study was a randomized controlled trial with three conditions: the control group, the AP program, and the AP+ program. Respondents were daily smokers (N = 2031), aged 18 to 65 years, who were motivated and willing to quit smoking within 1 month. The primary outcome was self-reported continued abstinence 12 months after baseline. Logistic regression analyses were conducted using three samples: (1) all respondents as randomly assigned, (2) a modified sample that excluded respondents who did not make a quit attempt in conformance with the program protocol, and (3) a minimum dose sample that also excluded respondents who did not adhere to at least one of the intervention elements. Observed case analyses and conservative analyses were conducted.

Results

In the observed case analysis of the randomized sample, abstinence rates were 22% (45/202) in the control group versus 33% (63/190) in the AP program and 31% (53/174) in the AP+ program. The AP program (odds ratio 1.95, P = .005) and the AP+ program (odds ratio 1.61, P = .049) were significantly more effective than the control condition. Abstinence rates and effects differed per sample. Finally, the results suggest a dose–response relationship between abstinence and the number of program elements completed by the respondents.

Conclusion

Despite the differences in results caused by the variation in our analysis approaches, we can conclude that Web-based computer-tailored programs combined with planning strategy assignments and feedback after the quit attempt can be effective in preventing relapse 12 months after baseline. However, adherence to the intervention seems critical for effectiveness. Finally, our results also suggest that more research is needed to assess the optimum intervention dose.

Trial Registration

Dutch Trial Register: NTR1892; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1892 (Archived by WebCite at http://www.webcitation.org/693S6uuPM)

Effectiveness of a Web-based multiple tailored smoking cessation program: a randomized controlled trial among Dutch adult smokers

Background

Distributing a multiple computer-tailored smoking cessation intervention through the Internet has several advantages for both provider and receiver. Most important, a large audience of smokers can be reached while a highly individualized and personal form of feedback can be maintained. However, such a smoking cessation program has yet to be developed and implemented in the Netherlands.

Objective

To investigate the effects of a Web-based multiple computer-tailored smoking cessation program on smoking cessation outcomes in a sample of Dutch adult smokers.

Methods

Smokers were recruited from December 2009 to June 2010 by advertising our study in the mass media and on the Internet. Those interested and motivated to quit smoking within 6 months (N = 1123) were randomly assigned to either the experimental (n = 552) or control group (n = 571). Respondents in the experimental group received the fully automated Web-based smoking cessation program, while respondents in the control group received no intervention. After 6 weeks and after 6 months, we assessed the effect of the intervention on self-reported 24-hour point prevalence abstinence, 7-day point prevalence abstinence, and prolonged abstinence using logistic regression analyses.

Results

Of the 1123 respondents, 449 (40.0%) completed the 6-week follow-up questionnaire and 291 (25.9%) completed the 6-month follow-up questionnaire. We used a negative scenario to replace missing values. That is, we considered respondents lost to follow-up to still be smoking. The computer-tailored program appeared to have significantly increased 24-hour point prevalence abstinence (odds ratio [OR] 1.85, 95% confidence interval [CI] 1.30–2.65), 7-day point prevalence abstinence (OR 2.17, 95% CI 1.44–3.27), and prolonged abstinence (OR 1.99, 95% CI 1.28–3.09) rates reported after 6 weeks. After 6 months, however, no intervention effects could be identified. Results from complete-case analyses were similar.

Conclusions

The results presented suggest that the Web-based computer-tailored smoking cessation program had a significant effect on abstinence reported after a 6-week period. At the 6-month follow-up, however, no intervention effects could be identified. This might be explained by the replacement of missing values on the primary outcome measures due to attrition using a negative scenario. While results were similar when using a less conservative scenario (ie, complete-case analyses), the results should still be interpreted with caution. Further research should aim at identifying strategies that will prevent high attrition in the first place and, subsequently, to identify the best strategies for dealing with missing data when studies have high attrition rates.

Trial Registration

Dutch Trial Register NTR1351; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1351 (Archived by WebCite at http://www.webcitation.org/67egSTWrz)

Modeling the activation of tobacco smoking expectancies in memory in relation to use patterns

Methodology that has led to successful strategies to reduce alcohol use was applied to tobacco smoking expectancies. Individual differences scaling was used to empirically model a semantic network of associations stored in memory and preference mapping was used to model likely paths of expectancy activation for groups with different smoking histories. Smokers emphasized an external appearance-internal experience dimension and were more likely to activate expectancies of negative affect reduction. Nonsmokers emphasized a positive-negative dimension and were more likely to activate expectancies of health risks and reduced physical attractiveness. Proportionate frequencies of first associates' validated findings of the MDS-based solutions. Future efforts to alter likely activation patterns may successfully reduce the onset of smoking, enhance quit rates, and reduce relapse.

Affective reactivity during smoking cessation of never-quitters as compared with that of abstainers, relapsers, and continuing smokers

Much effort has been devoted to examining the differences in postcessation affective experience between smoking abstainers and relapsers. However, little attention has been given to the affective changes of smokers who, despite their motivation to quit, fail to achieve even a brief period of abstinence. Using affect-modulated startle response and self-report questionnaires, we measured the postcessation affective changes of 115 smokers (60 men, 55 women) who participated in a laboratory investigation of affective reactivity during smoking cessation. Among our participants, 34 were abstainers (16 men, 18 women), 16 were never-quitters (8 men, 8 women), 19 were relapsers (8 men, 11 women), and 46 were controls (28 men, 18 women). We found a significant Stimulus Valence × Session × Group interaction effect on startle responses, which suggested that while abstainers, relapsers, and control exhibited the prototypical affect-modulated startle response across postcessation sessions, never-quitters displayed an atypical response pattern in which emotional pictures no longer modulated the startle response. Never-quitters also reported increasingly higher negative and lower positive affect across postcessation sessions. Using affect-modulated startle response and self-report questionnaires, this study found a significant difference in the affective reactivity between smokers who could and smokers who could not establish an initial abstinence of 24 hours.

Mediators of the association of major depressive syndrome and anxiety syndrome with postpartum smoking relapse

OBJECTIVE

Based on conceptual models of addiction and affect regulation, this study examined the mechanisms linking current major depressive syndrome (MDS) and anxiety syndrome (AS) to postpartum smoking relapse.

METHOD

Data were collected in a randomized clinical trial from 251 women who quit smoking during pregnancy. Simple and multiple mediation models of the relations of MDS and AS with postpartum relapse were examined using linear regression, continuation ratio logit models, and a bootstrapping procedure to test the indirect effects.

RESULTS

Both MDS and AS significantly predicted postpartum smoking relapse. After adjusting for MDS, AS significantly predicted relapse. However, after adjusting for AS, MDS no longer predicted relapse. Situationally based self-efficacy, expectancies of controlling negative affect by means other than smoking, and various dimensions of primary and secondary tobacco dependence individually mediated the effect of both MDS and AS on relapse. In multiple mediation models, self-efficacy in negative/affective situations significantly mediated the effect of MDS and AS on relapse.

CONCLUSIONS

The findings underscore the negative impact of depression and anxiety on postpartum smoking relapse and suggest that the effects of MDS on postpartum relapse may be largely explained by comorbid AS. The current investigation provided mixed support for affect regulation models of addiction. Cognitive and tobacco dependence-related aspects of negative and positive reinforcement significantly mediated the relationship of depression and anxiety with relapse, whereas affect and stress did not. The findings emphasize the unique role of low agency with respect to abstaining from smoking in negative affective situations as a key predictor of postpartum smoking relapse.

Motivation, Cognitive, and Affective Factors that Predict Smoking Relapse: A Cross-Sectional Study in a Filipino Sample

In the plethora of international research on smoking relapse there are findings that suggest distinct ethnocultural differences in relapse predictors. This study aimed to uncover cognitive and affective factors that contribute to relapse in a sample of Filipino adult smokers (N = 115). Using discriminant function analysis, results suggest that self-efficacy, outcome expectancy, craving and the subdomains of motivation to change contemplation and action are accurate relapse predictors, whereas negative emotional states are not. An integrative framework was used in the discussion to account for inconsistencies in the results. Implications for understanding the relapse cycle, the connection between smoking relapse and substance use, as well as suggestions for future studies on smoking relapse, are also discussed.

Why two smoking cessation agents work better than one: role of craving suppression

OBJECTIVE

This research examined why smokers receiving combination medication for smoking cessation are more likely to quit smoking than are those who receive either single agent (monotherapy) or placebo.

METHOD

Data were collected from 1,504 current smokers (58.2% women, 83.9% White; mean age = 44.67 years, SD = 11.08) participating in a cessation clinical trial who were randomized to 1 of 6 cessation pharmacotherapy conditions (placebo, nicotine patch, nicotine lozenge, bupropion, nicotine patch + nicotine lozenge, and bupropion + nicotine lozenge). Participants completed ecological momentary assessments 4 times a day, concerning 5 hypothesized mediators (negative affect, positive affect, craving, smoking expectations, and withdrawal) of pharmacotherapy effects. Medications were provided for 8-12 weeks post-quit along with 6 individual counseling sessions. Mediational paths were estimated via a novel Bayesian approach with estimation of multiple mediator models.

RESULTS

Biochemically confirmed 8-week abstinence was the outcome variable, with the monotherapy and combination pharmacotherapy composites producing 45% (n = 689) and 54% (n = 478) abstinence rates, respectively. The univariate models suggested that the combination treatments produced higher abstinence rates than the monotherapies because of greater suppression of withdrawal, craving, and smoking expectations. However, multiple mediator models showed that the suppression of craving on the quit day produced the strongest mediational effects and could account for the mediational effects of other tested variables.

CONCLUSION

Suppression of craving on the quit day significantly mediates the clinical effects of monotherapies and combination smoking pharmacotherapies, and the higher abstinence rates for combination therapy versus monotherapies appear primarily due to greater craving suppression.

Smoking outcome expectancies in military veteran smokers with posttraumatic stress disorder

INTRODUCTION

Smoking outcome expectancies were investigated in treatment-seeking military Veteran smokers with posttraumatic stress disorder (PTSD). The investigation of smoking outcome expectancies may enhance our understanding of the relationship between PTSD and cigarette smoking.

METHODS

Participants were 943 military Veterans with a diagnosis of PTSD who were current smokers enrolled in a randomized multisite effectiveness trial to test whether the integration of smoking cessation treatment into mental health care (integrated care) improves prolonged abstinence rates compared with referral to specialized smoking cessation clinics (usual care). Using confirmatory factor analysis (CFA), we evaluated the conceptual model of smoking outcome expectancies measured on the Smoking Consequences Questionnaire-Adult (SCQ-A) version. The Kraemer method of mediation analysis was used to investigate the role of smoking outcome expectancies in mediating relationships between PTSD symptoms and smoking behavior, tobacco dependence, and abstinence self-efficacy.

RESULTS

The CFA supported the 10-factor structure of the SCQ-A in smokers with PTSD. Relationships between measures of PTSD symptoms and tobacco dependence were mediated by the smoking outcome expectancy regarding negative affect reduction. This same smoking outcome expectancy mediated relationships between PTSD symptoms and smoking abstinence self-efficacy.

CONCLUSIONS

The findings support the use of the SCQ-A as a valid measure of smoking outcome expectancies in military Veteran smokers with PTSD. Moreover, they suggest that smoking outcome expectancies may play an important role in explaining the relationship between PTSD and cigarette smoking.

Predictors of attempts to stop smoking and their success in adult general population samples: a systematic review

AIMS

To identify the predictors of attempts to stop smoking and the predictors of quit attempt success in adult general population samples.

METHODS

We performed an electronic search of EMBASE, Pubmed, Web of Science, PsychINFO and the Cochrane Tobacco Addiction Group specialized register for articles that examined, in prospective adult general population samples, predictors of quit attempts and the success of quit attempts. Experts were contacted for knowledge of other relevant studies. Eight studies met the inclusion criteria and results were extracted independently by two researchers.

RESULTS

There was considerable methodological heterogeneity between studies. Motivational factors dominated the prediction of quit attempts, whereas only cigarette dependence consistently predicted success after an attempt had been made. Social grade also appeared to predict success but was only examined in two studies. None of the other socio-demographic factors consistently predicted making a quit attempt or success.

CONCLUSIONS

Population-level studies from a number of countries show that past quit attempts and measures of motivation to stop are highly predictive of quit attempts, whereas only measures of dependence are consistently predictive of success of those attempts. Gender, age and marital status and educational level are not related consistently to quit attempts or quit success across countries.

The role of self-efficacy in the treatment of substance use disorders

Self-efficacy is the belief that one has the ability to implement the behaviors needed to produce a desired effect. There has been growing interest in the role of self-efficacy as a predictor and/or mediator of treatment outcome in a number of domains. The present paper reviews the recent literature on self-efficacy in the substance abuse field. In numerous studies of substance abuse treatment, self-efficacy has emerged as an important predictor of outcome, or as a mediator of treatment effects. Despite these repeated positive findings, the self-efficacy concept has had little impact on the design of treatments. Since the concept was first introduced, there have been numerous suggestions regarding the means by which self-efficacy may be enhanced in clinical settings, but very little by way of empirical tests of those suggestions. This review concludes with a number of recommendations for further research to improve understanding of this potentially valuable concept and its interactions with other variables, and to develop effective strategies for enhancing self-efficacy.

Study protocol of a Dutch smoking cessation e-health program

BACKGROUND

The study aims to test the differential effects of a web-based text and a web-based video-driven computer-tailored approach for lower socio-economic status (LSES) and higher socio-economic status (HSES) smokers which incorporate multiple computer-tailored feedback moments. The two programs differ only in the mode of delivery (video- versus text-based messages). The paper aims to describe the development and design of the two computer-tailored programs.

METHODS/DESIGN

Respondents who smoked at the time of the study inclusion, who were motivated to quit within the following six months and who were aged 18 or older were included in the program. The study is a randomized control trial with a 2 (video/text) * 2(LSES/HSES) design. Respondents were assigned either to one of the intervention groups (text versus video tailored feedback) or to the control group (non-tailored generic advice). In all three conditions participants were asked to fill in the baseline questionnaire based on the I-Change model. The questionnaire assessed socio-demographics, attitude towards smoking, knowledge, self-efficacy, social influence, depression, level of addiction, action planning, goal actions, intention to quit smoking, seven-day point prevalence and continued abstinence. Follow-up measurements were conducted at six and twelve months after baseline.

DISCUSSION

The present paper describes the development of the two computer-tailored smoking cessation programs, their components and the design of the study. The study results reveal different working mechanisms of multiple tailored smoking cessation interventions and will help us to gain more insight into effective strategies to target different subgroups, especially smokers with a lower socio-economic status.

TRIAL REGISTRATION

Dutch Trial Register NTR3102.

A randomized clinical trial of a palmtop computer-delivered treatment for smoking relapse prevention among women

Relapse is the rule rather than the exception among smokers attempting to quit, and compared to men, women may have higher relapse rates. The current study was a randomized clinical trial testing a palmtop computer-delivered treatment (CDT) for smoking relapse prevention among women. The intervention was individualized based on key theoretical constructs that were measured using ecological momentary assessment (EMA). All participants (N = 302) received standard smoking cessation treatment consisting of nicotine replacement therapy and group counseling, and completed EMA procedures for one week after quitting. At the completion of the group counseling sessions and EMA procedures, participants were randomized to either CDT or no further computer-delivered treatment or assessment (EMA-Only). CDT participants received a palmtop computer-delivered relapse prevention treatment for one additional month. CDT did not improve abstinence rates relative to EMA-Only. Process analyses suggested that heavier smokers were more likely to use CDT and that greater use among CDT participants may be associated with more positive outcomes. The rapid pace of technological advances in mobile computer technology and the ubiquity of such devices provide a novel platform for developing new and potentially innovative treatments. However, the current study did not demonstrate the efficacy of such technology in improving treatment outcomes.

Prospective analysis of early lapse to drinking and smoking among individuals in concurrent alcohol and tobacco treatment

The aims of the current study were to examine, prospectively, (a) dynamic changes in affective state, self-efficacy, and urge in the hours before initial smoking and drinking lapses among individuals in concurrent alcohol and smoking treatment, and (b) the extent to which self-efficacy, urge to use, and/or the use of one substance predicted lapse to the other substance. Ninety-six men and women recruited for a clinical trial of concurrent alcohol and tobacco treatment were eligible for inclusion. Only data from those who experienced an initial lapse to drinking (n=29) or smoking (n=32) were included. Two outpatient substance abuse clinics provided concurrent alcohol and smoking treatment on a weekly basis for three months. Ecological Momentary Assessment (EMA) methods were employed over a 28-day monitoring period to assess antecedents to first drink, and a 14-day monitoring period was examined for initial smoking lapses. Baseline and EMA measures of positive and negative affect, alcohol/smoking urge, alcohol/smoking abstinence self-efficacy, nicotine withdrawal, and quantity/frequency of alcohol and tobacco use were examined as lapse predictors. Analyses of EMA ratings controlled for the corresponding baseline measure. Smoking lapse among individuals in concurrent alcohol and tobacco treatment was foreshadowed by higher urges to smoke, lower positive mood, and lower confidence to resist smoking. Drinking lapse was preceded by lower confidence to resist smoking, but only among individuals who reported recent smoking. Concurrent alcohol and smoking treatment should focus on the enhancement of abstinence self-efficacy, positive mood, and the curbing of urges in order to offset lapse risk.

Lapse-induced surges in craving influence relapse in adult smokers: an experimental investigation

OBJECTIVES

Nearly all smokers who lapse experience a full-blown relapse, but the mediating mechanisms that contribute to this relationship are not well understood. A better understanding of these mechanisms would help to advance more effective relapse prevention treatments for smokers. The purpose of this study is to experimentally evaluate the effects of a programmed smoking lapse on smoking relapse and the effects of postlapse changes in craving on relapse.

METHOD

Adult smokers (n = 63) who quit smoking with a brief cognitive-behavioral intervention and self-help materials were randomly assigned to one of two experimental conditions after 48 h of abstinence: No lapse (a no-smoking control/30-min waiting period) or lapse (smoking two cigarettes of their favored brand during a 30-min period). All participants were then followed daily for 14 days. Craving and biochemically verified self-reported abstinence were assessed on each follow-up day. Time (days) to relapse (7 consecutive days of smoking) was the main dependent measure.

RESULTS

Results of Cox regression analysis revealed that participants in the lapse condition relapsed more quickly than participants in the no-lapse condition (hazard ratio [HR] = 2.12, 95% confidence interval [CI] = [1.03, 4.35]). These effects were attributable, in part, to episodic increases in craving among participants in the lapse condition only (HR = 12.42, 95% CI = [2.00, 77.1]).

CONCLUSIONS

Previously abstinent smokers who lapse are at risk for increased cigarette cravings and consequently, full-blown relapse. These results have implications for both cognitive-behavioral treatments for relapse prevention and for medications designed to help smokers manage cravings.

Using SMS text messaging to assess moderators of smoking reduction: Validating a new tool for ecological measurement of health behaviors

OBJECTIVE

Understanding the psychological processes that contribute to smoking reduction will yield population health benefits. Negative mood may moderate smoking lapse during cessation, but this relationship has been difficult to measure in ongoing daily experience. We used a novel form of ecological momentary assessment to test a self-control model of negative mood and craving leading to smoking lapse.

DESIGN

We validated short message service (SMS) text as a user-friendly and low-cost option for ecologically measuring real-time health behaviors. We sent text messages to cigarette smokers attempting to quit eight times daily for the first 21 days of cessation (N-obs = 3,811).

MAIN OUTCOME MEASURES

Approximately every two hours, we assessed cigarette count, mood, and cravings, and examined between- and within-day patterns and time-lagged relationships among these variables. Exhaled carbon monoxide was assessed pre- and posttreatment.

RESULTS

Negative mood and craving predicted smoking two hours later, but craving mediated the mood-smoking relationship. Also, this mediation relationship predicted smoking over the next two, but not four, hours.

CONCLUSION

Results clarify conflicting previous findings on the relation between affect and smoking, validate a new low-cost and user-friendly method for collecting fine-grained health behavior assessments, and emphasize the importance of rapid, real-time measurement of smoking moderators.

Relapse prevention for addictive behaviors

The Relapse Prevention (RP) model has been a mainstay of addictions theory and treatment since its introduction three decades ago. This paper provides an overview and update of RP for addictive behaviors with a focus on developments over the last decade (2000-2010). Major treatment outcome studies and meta-analyses are summarized, as are selected empirical findings relevant to the tenets of the RP model. Notable advances in RP in the last decade include the introduction of a reformulated cognitive-behavioral model of relapse, the application of advanced statistical methods to model relapse in large randomized trials, and the development of mindfulness-based relapse prevention. We also review the emergent literature on genetic correlates of relapse following pharmacological and behavioral treatments. The continued influence of RP is evidenced by its integration in most cognitive-behavioral substance use interventions. However, the tendency to subsume RP within other treatment modalities has posed a barrier to systematic evaluation of the RP model. Overall, RP remains an influential cognitive-behavioral framework that can inform both theoretical and clinical approaches to understanding and facilitating behavior change.

The role of self-efficacy, recovery self-efficacy, and preparatory planning in predicting short-term smoking relapse

OBJECTIVES

This study aims to identify the role of self-efficacy, recovery self-efficacy, and preparatory planning with regard to short-term smoking relapse. We also assessed whether the importance of these variables differed for smokers quitting individually and without help (self-quitters) and smokers quitting with the help of a smoking cessation course (group quitters).

DESIGN

A longitudinal quasi-experimental study with follow-ups at 1 and 3 months after the quit attempt was conducted in order to assess the role of baseline self-efficacy, recovery self-efficacy, and preparatory planning on short-term relapse.

METHODS

The recruitment included adult daily smokers (N= 121), quitting in a smoking cessation course (N= 57) and self-quitters (N= 64). Respondents received internet-based questionnaires 2 weeks before quitting (baseline) and 1 and 3 months after the quit attempt. Predictors of relapse were analysed using logistic regression analyses.

RESULTS

Relapse at 1 and 3 months after the quit attempt was predicted by low levels of baseline self-efficacy. Simple slope analyses revealed that less preparatory planning significantly predicted relapse at 1 month after the quit attempt among group quitters, but not among self-quitters. Recovery self-efficacy was only predictive of relapse after 1 month when self-efficacy was excluded from the analyses. Moreover, among group quitters, the results indicated a borderline significant curved relation between recovery self-efficacy and relapse after 1 month.

CONCLUSIONS

Our results suggest that more research is needed on the role of preparatory planning and recovery self-efficacy. Moreover, we recommend incorporating self-efficacy increasing techniques in relapse-prevention interventions.

The Smoking Abstinence Questionnaire: measurement of smokers' abstinence-related expectancies

AIMS

To develop and validate a measure of smokers' expectancies for the abstinence process upon quitting smoking: the Smoking Abstinence Questionnaire (SAQ).

DESIGN

Principal component analysis and other psychometric analyses of self-report data.

SETTING

San Francisco, California.

PARTICIPANTS

A total of 507 adult smokers of at least 10 cigarettes per day diverse in gender, sexual orientation and ethnoracial status.

MEASUREMENTS

The primary measure was a draft version of the SAQ. Additional measures assessed a variety of other smoking-related constructs.

FINDINGS

Analyses yielded 10 scales of the SAQ: Withdrawal, Social Improvement/Non-smoker Identity, Adverse Outcomes, Treatment Effectiveness, Common Reasons, Barriers to Treatment, Social Support, Optimistic Outcomes, Coffee Use and Weight Gain. The SAQ scales demonstrated internal consistencies ranging from 0.62 to 0.85 and were associated with tobacco dependence, motivation to quit, abstinence self-efficacy, withdrawal symptoms, dietary restraint, shape and weight concern and tobacco use expectancies. The SAQ predicted smoking-related constructs above and beyond tobacco use expectancies, suggesting that abstinence-related expectancies and tobacco use expectancies are distinct from one another.

CONCLUSIONS

A newly developed questionnaire, the Smoking Abstinence Questionnaire, appears to capture reliably smokers' expectancies for abstinence (Withdrawal, Social Improvement/Non-smoker Identity, Adverse Outcomes, Common Reasons, Optimistic Outcomes, Coffee Use, and Weight Gain) and expectancies related to the success of a quit attempt (Treatment Effectiveness, Barriers to Treatment and Social Support). It remains to be seen how far any of these expectancies predict attempts to quit, withdrawal, treatment utilization and response and quitting success above and beyond existing measures.

New methods for tobacco dependence treatment research

INTRODUCTION

Despite advances in tobacco dependence treatment in the past two decades, progress has been inconsistent and slow. This paper reviews pervasive methodological issues that may contribute to the lack of timely progress in tobacco treatment science including the lack of a dynamic model or framework of the cessation process, inefficient study designs, and the use of distal outcome measures that poorly index treatment effects. The authors then present a phase-based cessation framework that partitions the cessation process into four discrete phases based on current theories of cessation and empirical data. These phases include: (1) Motivation, (2) Precessation, (3) Cessation, and (4) Maintenance.

DISCUSSION

Within this framework, it is possible to identify phase-specific challenges that a smoker would encounter while quitting smoking, intervention components that would address these phase-specific challenges, mechanisms via which such interventions would exert their effects, and optimal outcome measures linked to these phase-specific interventions. Investigation of phase-based interventions can be accelerated by using efficient study designs that would permit more timely development of an optimal smoking cessation treatment package.

Explicating an evidence-based, theoretically informed, mobile technology-based system to improve outcomes for people in recovery for alcohol dependence

Post-treatment relapse to uncontrolled alcohol use is common. Currently available communication technology can use existing models for relapse prevention to cost-effectively improve long-term relapse prevention. This paper describes: (1) research-based elements of alcohol consumption-related relapse prevention and how they can be encompassed in self-determination theory (SDT) and Marlatt's cognitive behavioral relapse prevention model, (2) how technology could help address the needs of people seeking recovery, (3) a technology-based prototype, organized around sexual transmitted disease and Marlatt's model, and (4) how we are testing a system based on the ideas in this article and related ethical and operational considerations.

Conceptualizing and Estimating Process Speed in Studies Employing Ecological Momentary Assessment Designs: A Multilevel Variance Decomposition Approach

Researchers have been making use of ecological momentary assessment (EMA) and other study designs that sample feelings and behaviors in real time and in naturalistic settings to study temporal dynamics and contextual factors of a wide variety of psychological, physiological, and behavioral processes. As EMA designs become more widespread, questions are arising about the frequency of data sampling, with direct implications for participants' burden and researchers' ability to capture and study dynamic processes. Traditionally, spectral analytic techniques are used for time series data to identify process speed. However, the nature of EMA data, often collected with fewer than 100 measurements per person, sampled at randomly spaced intervals, and replete with planned and unplanned missingness, precludes application of traditional spectral analytic techniques. Building on principles of variance partitioning used in the generalizability theory of measurement and spectral analysis, we illustrate the utility of multilevel variance decompositions for isolating process speed in EMA-type data. Simulation and empirical data from a smoking-cessation study are used to demonstrate the method and to evaluate the process speed of smoking urges and quitting self-efficacy. Results of the multilevel variance decomposition approach can inform process-oriented theory and future EMA study designs.

A multi-level analysis of non-significant counseling effects in a randomized smoking cessation trial

AIMS

To determine, in the context of a trial in which counseling did not improve smoking cessation outcomes, whether this was due to a failure of the conceptual theory identifying treatment targets or the action theory specifying interventions.

DESIGN

Data from a randomized clinical trial of smoking cessation counseling and bupropion SR were submitted to multi-level modeling to test whether counseling influenced real-time reports of cognitions, emotions and behaviors, and whether these targets predicted abstinence.

SETTING

Center for Tobacco Research and Intervention, Madison, WI.

PARTICIPANTS

A total of 403 adult, daily smokers without contraindications to bupropion SR use. Participants were assigned randomly to receive individual counseling or no counseling and a 9-week course of bupropion SR or placebo pill. Cessation counseling was delivered in eight 10-minute sessions focused on bolstering social support, motivation, problem-solving and coping skills.

MEASUREMENTS

Pre- and post-quit ecological momentary assessments of smoking behavior, smoking triggers, active prevention and coping strategies, motivation to quit, difficulty quitting and reactions to initial lapses.

FINDINGS

Counseling prompted avoidance of access to cigarettes, improved quitting self-efficacy, reduced perceived difficulty of quitting over time and protected against guilt and demoralization following lapses. Results also supported the importance of limiting cigarette access, receiving social support, strong motivation and confidence and easing withdrawal distress during cessation efforts. Quitting self-efficacy and perceived difficulty quitting may partially mediate counseling effects on abstinence.

CONCLUSIONS

Smoking cessation counseling may work by supporting confidence about quitting and reducing perceived difficulty quitting. Counseling did not affect other targets that protect against relapse.

Factors underlying smoking relapse prevention: results of an international Delphi study

No definitive picture of the factors determining smoking relapse exists, and many smoking relapse prevention programmes have only modest behavioural effects. This study aims to identify the level of consensus among and compare the opinions of two groups of experts (researchers and coaches who provide smoking cessation courses) regarding factors already studied in relation to smoking relapse, factors that have not yet been addressed and ideas on how to improve prevention programmes. A three-round Delphi method was employed. In the first round, 15 researchers completed an electronic questionnaire on factors associated with relapse. The results were used to develop a structured questionnaire for the second round, which was completed by 47 researchers and 61 coaches. The second-round results were then presented to the same experts in the third round, enabling them to re-rate their answers. Results revealed high consensus on some factors already identified as predicting relapse (e.g. self-efficacy), new factors (e.g. action planning) and several methods to improve prevention programmes. Generally speaking, the researchers and coaches provided similar suggestions. The results paint a picture of the current state of knowledge on relapse-related factors and point the way to areas for further research.

Evaluating a cognitive model of ALDH2 and drinking behavior

BACKGROUND

Despite evidence for genetic influences on alcohol use and alcohol-related cognitions, genetic factors and endophenotypes are rarely incorporated in cognitive models of drinking behavior. This study evaluated a model of ALDH2 and drinking behavior stipulating cognitive factors and alcohol sensitivity as accounting for genetic influences on drinking outcomes.

METHODS

Participants were Asian-American young adults (n = 171) who completed measures of alcohol cognitions (drinking motives, drinking refusal self-efficacy, and alcohol expectancies), alcohol sensitivity, drinking behavior, and alcohol-related problems as part of a prospective study. Structural equation modeling (SEM) evaluated a model of drinking behavior that stipulated indirect effects of ALDH2 on drinking outcomes through cognitive variables and alcohol sensitivity.

RESULTS

The full model provided an adequate fit to the observed data, with the measurement model explaining 63% of the variance in baseline heavy drinking and 50% of the variance in alcohol-related problems at follow-up. Associations of ALDH2 with cognitive factors and alcohol sensitivity were significant, whereas the association of ALDH2 with drinking was not significant with these factors included in the model. Mediation tests indicated significant indirect effects of ALDH2 through drinking motives, drinking refusal self-efficacy, and alcohol sensitivity.

CONCLUSIONS

Results are consistent with the perspective that genetic influences on drinking behavior can be partly explained by learning mechanisms and implicate cognitive factors as important for characterizing associations of ALDH2 with drinking.

Changes in smoking expectancies in abstinent, reducing, and non-abstinent participants during a pharmacological trial for smoking cessation

INTRODUCTION

Smoking expectancies are related to smoking consumption and predict smoking cessation. Little is known about whether expectancies change during smoking treatments, consistent with changes in smoking behavior. This study examined reported changes in smoking beliefs during an 8-week smoking cessation trial, which evaluated the safety and efficacy of the monoamine oxidase B inhibitor selegiline hydrochloride versus placebo.

METHODS

Participants were classified as "Quit" (n = 18), "Reduced" (n = 34), or "Not Quit" (n = 49) by 7-day point prevalence abstinence at the end of treatment. Expectancies were assessed at randomization, 1 week after the target quit date, and at the end of treatment.

RESULTS

Beliefs about smoking assessed prior to the quit attempt were not associated with cessation outcomes. Participants who quit smoking reported a reduction in expectations that smoking would reduce negative affect, boredom, and cravings, and facilitate social interactions, while participants who did not quit smoking reported an increase in Negative Social Impression beliefs. There were gender differences in beliefs related to Negative Affect Reduction, Negative Physical Feelings, Social Facilitation, and Cravings and significant Gender X Smoking Status interactions for Health Risk and Weight Control beliefs. There were no significant effects of medication on expectancies.

DISCUSSION

Baseline expectancies were not associated with abstinence outcomes; however, expectancies changed over time with changes in smoking, and the greatest changes were seen with smoking abstinence. Information about the relationship between smoking beliefs and behaviors may be used to enhance or tailor smoking cessation treatments.

Mechanisms of change in extended cognitive behavioral treatment for tobacco dependence

AIM

To evaluate potential mediators of an extended cognitive behavioral smoking cessation intervention.

DESIGN

Analysis of data from a randomized clinical trial of smoking cessation.

SETTING

The Habit Abatement Clinic, University of California, San Francisco.

PARTICIPANTS

Participants were older cigarette smokers (>/=50 years old). Those receiving Standard Treatment (N=100) were compared to those receiving extended cognitive behavioral treatment (N=99).

MEASUREMENTS

Negative affect was measured with the Profile of Mood States (POMS), the Medical Outcome Studies 36-item Short-Form Health Survey (SF-36), and the Perceived Stress Scale (PSS). Abstinence-specific social support was measured with the Partner Interaction Questionnaire (PIQ). Motivation to quit and abstinence self-efficacy were measured on 1-10 scales with the Thoughts about Abstinence Questionnaire. All were measured at the beginning of treatment and week 52.

RESULTS

Analyses revealed that extended CBT increased abstinence self-efficacy over the first 52 weeks postcessation. This effect, in turn, was positively associated with 7-day point prevalence abstinence at week 64 while controlling for treatment condition, and eliminated the independent effect of treatment condition on abstinence. The test of mediation indicated a significant effect, and abstinence self-efficacy accounted for 61% to 83% of the total effect of treatment condition on smoking abstinence. Results failed to support a mediational role of negative affect, abstinence-specific social support, or motivation to quit.

CONCLUSIONS

The results of the present study are consistent with theories of relapse and studies of more time-limited interventions, and underscore the importance of abstinence self-efficacy in achieving long-term abstinence from cigarettes.

Mechanisms linking socioeconomic status to smoking cessation: a structural equation modeling approach

OBJECTIVE

Although there has been a socioeconomic gradient in smoking prevalence, cessation, and disease burden for decades, these disparities have become even more pronounced over time. The aim of the current study was to develop and test a conceptual model of the mechanisms linking socioeconomic status (SES) to smoking cessation.

DESIGN

The conceptual model was evaluated using a latent variable modeling approach in a sample of 424 smokers seeking treatment (34% African American; 33% Latino; 33% White). Hypothesized mechanisms included social support, neighborhood disadvantage, negative affect/stress, agency, and craving.

MAIN OUTCOME MEASURE

The primary outcome was Week 4 smoking status.

RESULTS

As was hypothesized, SES had significant direct and indirect effects on cessation. Specifically, neighborhood disadvantage, social support, negative affect/stress, and agency mediated the relation between SES and smoking cessation. A multiple group analysis indicated that the model was a good fit across racial/ethnic groups.

CONCLUSION

The present study yielded one of the more comprehensive models illuminating the specific mechanisms that link SES and smoking cessation. Policy, community, and individual-level interventions that target low SES smokers and address the specific pathways identified in the current model could potentially attenuate the impact of SES on cessation.

Acculturation differentially predicts smoking cessation among Latino men and women

OBJECTIVES

The current study examined the influence of gender, acculturation indicators, and their interaction on smoking cessation among Latinos.

METHODS

Logistic regression analysis was used to examine the main effects of gender, acculturation indicators, and their interactions on self-reported 7-day abstinence at 12-week follow-up among 271 Latino smokers seeking cessation counseling.

RESULTS

Analyses revealed significant main effects for several acculturation indicators and significant interactions of gender with number of years lived in the United States, proportion of life lived in the United States, and preferred media language (all P values <0.05). Follow-up analyses indicated no significant relationships between abstinence and acculturation indicators among women. Among men, abstinence rates increased with years in the United States, proportion of life in the United States, and preferred media language of English.

CONCLUSIONS

Greater acculturation predicted higher abstinence rates, but this relationship was restricted to men. This study is among the first to examine the effects of gender and acculturation on smoking abstinence among Latinos. Findings highlight the need for research focused on mechanisms underlying these relationships.

The multiple facets of cigarette addiction and what they mean for encouraging and helping smokers to stop

Addiction involves powerful motivation to engage in an activity repeatedly to an extent that is harmful often accompanied by impaired capacity for self-control. To effectively combat addiction to cigarettes requires an understanding that there are several mechanisms underlying it. The PRIME Theory of motivation aims to provide a model that can encapsulate these mechanisms. It recognises that evolution has led to multiple levels of motivation from basic impulses and inhibitions, through 'motives' (feelings of want and need), to 'evaluations' (beliefs about what is good or bad), and plans (intentions regarding future actions). Self-control involves self-consciously generating motives from evaluations or plans; it requires and depletes mental energy. Nicotine from cigarettes generates the motivation to smoke and undermines self-control by interacting with all of the level of motivation. It: creates stimulus-impulse associations resulting in cue-driven urges; impairs inhibitory control; gives enjoyment resulting in 'wanting' to smoke; it leads to 'nicotine hunger', withdrawal symptoms and beliefs about benefits of smoking (e.g. stress relief) all of which can result in a 'need' to smoke. Evidence is emerging that wanting to smoke (because of enjoyment) is a major deterrent to making quit attempts but does not influence success, while cue-driven impulses to smoke, nicotine hunger and adverse mood and beliefs about the benefits of smoking are important in relapse. Combating cigarette addiction requires attention to all of these factors.

The natural history of quitting smoking: findings from the International Tobacco Control (ITC) Four Country Survey

AIMS

To describe the long-term natural history of a range of potential determinants of relapse from quitting smoking.

DESIGN, SETTING AND PARTICIPANTS

A survey of 2502 ex-smokers of varying lengths of time quit recruited as part of the International Tobacco Control (ITC) Four Country Survey (Australia, Canada, United Kingdom, United States) across five annual waves of surveying.

MEASUREMENTS

Quitters were interviewed by telephone at varying durations of abstinence, ranging from 1 to 1472 days (about 4 years) post-quitting. Smoking-related beliefs and experiences (i.e. urges to smoke; outcome expectancies of smoking and quitting; and abstinence self-efficacy) were included in the survey.

FINDINGS

Most theorized determinants of relapse changed over time in a manner theoretically associated with reduced risk of relapse, except most notably the belief that smoking controls weight, which strengthened. Change in these determinants changed at different rates: from a rapidly asymptoting log function to a less rapidly asymptoting square-root function.

CONCLUSIONS

Variation in patterns of change across time suggests that the relative importance of each factor to maintaining abstinence may similarly vary.

Smoking expectancies and intention to quit in smokers with schizophrenia, schizoaffective disorder and non-psychiatric controls

Cigarette smoking expectancies are systematically related to intention to quit smoking in adult smokers without psychiatric illness, but little is known about these relationships in smokers with serious mental illness. In this study, we compared positive and negative smoking expectancies, and examined relationships between expectancies and intention to quit smoking, in smokers with schizophrenia (n=46), smokers with schizoaffective disorder (n=35), and smokers without psychiatric illness (n=71). In all three groups, reduction of negative affect was rated as the most important smoking expectancy and intention to quit smoking was systematically related to concerns about the health effects and social consequences of smoking. Compared to the other groups of smokers, those with schizoaffective disorder were more concerned with social expectancies and with the immediate negative physical effects of smoking. Results of this study suggest that challenging positive smoking expectancies and providing more tailored information about the negative consequences of smoking might increase motivation to quit smoking in smokers with schizophrenia and schizoaffective disorder, as has been found with non-psychiatric smokers.

Predictors of smoking relapse by duration of abstinence: findings from the International Tobacco Control (ITC) Four Country Survey

AIM

To explore predictors of smoking relapse and how predictors vary according to duration of abstinence.

DESIGN, SETTING AND PARTICIPANTS

A longitudinal survey of 1296 ex-smokers recruited as part of the International Tobacco Control (ITC) Four Country Survey (Australia, Canada, United Kingdom and United States). Measurements Quitters were interviewed by telephone at varying durations of abstinence (from 1 day to approximately 3 years) and then followed-up approximately 1 year later. Theorized predictors of relapse (i.e. urges to smoke; outcome expectancies of smoking and quitting; and abstinence self-efficacy) and nicotine dependence were measured in the survey.

FINDINGS

Relapse was associated with lower abstinence self-efficacy and a higher frequency of urges to smoke, but only after the first month or so of quitting. Both these measures mediated relationships between perceived benefits of smoking and relapse. Perceived costs of smoking and benefits of quitting were unrelated to relapse.

CONCLUSIONS

Challenging perceived benefits of smoking may be an effective way to increase abstinence self-efficacy and reduce frequency of urges to smoke (particularly after the initial weeks of quitting), in order to reduce subsequent relapse risk.

Smokers' expectancies for abstinence: preliminary results from focus groups

Smokers' expectancies regarding the effects of cigarette use are powerful predictors of smoking motivation and behavior. However, studies have not investigated the consequences that smokers expect when they attempt to quit smoking: abstinence-related expectancies. The primary goal of this qualitative study was to gain initial insight into smokers' expectancies for abstinence. Eight focus groups were conducted with 30 smokers diverse with respect to age, gender, and ethnoracial background. Content analyses indicated that smokers anticipate a variety of outcomes from abstinence. The most frequently reported expectancies included pharmacologic withdrawal symptoms, behavioral withdrawal symptoms, decreased monetary expense, and immediate improvement of certain aspects of physical functioning and health. Additional expectancies concerned weight gain, improved attractiveness, enhanced social functioning/self-esteem, long-term health outcomes, and loss of relationships. Finally, a number of relatively unheralded expectancies were revealed. These involved nicotine replacement therapy effectiveness, alcohol and other drug use, cue reactivity, cessation-related social support, aversion to smoking, and "political process" implications. This study provides a preliminary step in understanding smokers' expectancies for abstinence from cigarettes.

The Smoking Consequences Questionnaire: Factor structure and predictive validity among Spanish-speaking Latino smokers in the United States

INTRODUCTION

Much of the existing research on smoking outcome expectancies has been guided by the Smoking Consequences Questionnaire (SCQ ). Although the original version of the SCQ has been modified over time for use in different populations, none of the existing versions have been evaluated for use among Spanish-speaking Latino smokers in the United States.

METHODS

The present study evaluated the factor structure and predictive validity of the 3 previously validated versions of the SCQ--the original, the SCQ-Adult, and the SCQ-Spanish, which was developed with Spanish-speaking smokers in Spain--among Spanish-speaking Latino smokers in Texas.

RESULTS

The SCQ-Spanish represented the least complex solution. Each of the SCQ-Spanish scales had good internal consistency, and the predictive validity of the SCQ-Spanish was partially supported. Nearly all the SCQ-Spanish scales predicted withdrawal severity even after controlling for demographics and dependence. Boredom Reduction predicted smoking relapse across the 5- and 12-week follow-up assessments in a multivariate model that also controlled for demographics and dependence.

DISCUSSION

Our results support use of the SCQ-Spanish with Spanish-speaking Latino smokers in the United States.

Self-efficacy and smoking cessation: a meta-analysis

According to relapse models, self-efficacy (SE), or confidence in one's ability to abstain, should predict the outcome of an attempt to quit smoking. We reviewed 54 studies that prospectively examined this relationship. The relationship between SE and future smoking depended upon the population studied and the timing of the SE assessment. The relationship between SE and future smoking was modest when SE was assessed prior to a quit attempt; SE scores were .21 standard deviation units (SD) higher for those not smoking at follow-up than for those who were smoking. The relationship was stronger (.47 SD) when SE was assessed post-quit. However, this effect was diminished when only abstainers at the time of the SE assessment were included in analysis (.28 SD). Controlling for smoking status at the time of SE assessment substantially reduced the relationship between SE and future smoking. Although SE has a reliable association with future abstinence, it is less robust than expected. Many studies may overestimate the relationship by failing to appropriately control for smoking behavior at the time of the SE assessment. (PsycINFO Database Record (c) 2009 APA, all rights reserved).

The Wisconsin Predicting Patients' Relapse questionnaire

INTRODUCTION

Relapse is the most common smoking cessation outcome. Accurate prediction of relapse likelihood could be an important clinical tool used to influence treatment selection or duration. The aim of this research was to develop a brief clinical relapse proneness questionnaire to be used with smokers interested in quitting in a clinical setting where time is at a premium.

METHODS

Diverse items assessing constructs shown in previous research to be related to relapse risk, such as nicotine dependence and self-efficacy, were evaluated to determine their independent contributions to relapse prediction. In an exploratory dataset, candidate items were assessed among smokers motivated to quit smoking who enrolled in one of three randomized controlled smoking cessation trials. A cross-validation dataset was used to compare the relative predictive power of the new instrument against the Fagerström Test for Nicotine Dependence (FTND) at 1-week, 8-week, and 6-month postquit assessments.

RESULTS

We selected seven items with relatively nonoverlapping content for the Wisconsin Predicting Patient's Relapse (WI-PREPARE) measure, a brief, seven-item questionnaire that taps physical dependence, environmental factors, and individual difference characteristics. Cross-validation analyses suggested that the WI-PREPARE demonstrated a stronger prediction of relapse at 1-week and 8-week postquit assessments than the FTND and comparable prediction to the FTND at a 6-month postquit assessment.

DISCUSSION

The WI-PREPARE is easy to score, suggests the nature of a patient's relapse risk, and predicts short- and medium-term relapse better than the FTND.

Testing Social Cognitive Theory as a theoretical framework to predict smoking relapse among daily smoking adolescents

Predictors of adolescent smoking relapse are largely unknown, since studies either focus on relapse among adults, or address (long-term) smoking cessation but not relapse. In the present study, Social Cognitive Theory (SCT) was used as a theoretical framework to examine the first and second lapses, as well as mild and heavy relapse into smoking among 135 daily smoking adolescents who embarked on a serious quit attempt. Baseline predictors were pros of smoking, pros of quitting, self-efficacy, and intensity of smoking. Using an ecological momentary assessment (EMA) study design, participants were monitored three times a day during 4 weeks. A follow-up was administered 2 months after the monitoring period. Perceiving many pros of smoking, reporting a low self-efficacy to quit, and high levels of baseline smoking significantly predicted relapse within 3 weeks after quitting. The effects of pros of smoking and self-efficacy on relapse, however, appeared to be accounted for by differences in intensity of smoking. Besides that pros of quitting showed a marginal effect on abstinence at the 2-month follow-up, no long-term effects were detected.