Analyzing the transtheoretical model using the framework of Weinstein, Rothman, and Sutton (1998): The example of smoking cessation.

Objective: To assess the transtheoretical model applied to smoking cessation using the framework of N. D. Weinstein, A. J. Rothman, and S. R. Sutton (1998), which is the general framework for designing and evaluating stage models of health behavior. Design: Systematic review. Results and Conclusion: The transtheoretical model applied to smoking cessation does not satisfy the criteria required of a valid stage model. Most significantly, the evidence indicates that the stages of change are not qualitatively distinct categories. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Are most precontemplators contemplating smoking cessation? Assessing the validity of the stages of change.

Objective: To assess the validity of the stages of change (SOC) algorithm for current smokers. Design: This study was a mail-based, cross-sectional survey study of 242 adult smokers. Main Outcome Measures: The main outcome measures were the SOC algorithm and a variety of alternative questionnaire items measuring motivation to quit smoking. Results and Conclusion: The results revealed that the SOC algorithm systematically underestimated motivation to quit smoking relative to a variety of other measures. Further, the stages of change do not appear to be qualitatively distinct categories. More than half the precontemplators were contemplating cessation, and many precontemplators intended to quit. Most contemplators were not merely contemplating cessation but rather were trying to quit currently. In summary, there is a divergence between the concepts underlying the SOC-precontemplation, contemplation, and preparation-and the operational definitions of these concepts. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A welcomed and overdue debate.

Replies to comments by J. Prochaska (see record 2010-00152-002) to the author's original critique (see record 2008-13168-006) on the transtheoretical model and smoking cessation. Herzog is disappointed that Prochaska elected not to address the central point of the critique: that the stages of change (SOC) are not qualitatively distinct categories, and that the SOC algorithm systematically underestimates motivation to quit among smokers. All major hypotheses of the TTM depend on the subsidiary hypothesis that the SOC algorithm is a valid measure of motivation to quit smoking. If the SOC is not a valid measure, then the TTM can be expected to produce unsatisfactory results. As for the issues that Prochaska does raise, most of these already are refuted in the critique itself. Herzog did not, as Prochaska suggests, attempt to “prove the null hypothesis.” Rather, his straightforward position is that the TTM as a stage model is not well supported by empirical evidence. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The effect of five smoking cessation pharmacotherapies on smoking cessation milestones.

Objective: Most smoking cessation studies have used long-term abstinence as their primary outcome measure. Recent research has suggested that long-term abstinence may be an insensitive index of important smoking cessation mechanisms. The goal of the current study was to examine the effects of 5 smoking cessation pharmacotherapies using Shiffman et al.'s (2006) approach of examining the effect of smoking cessation medications on 3 process markers of cessation or smoking cessation milestones: initial abstinence, lapse, and the lapse–relapse transition. Method: The current study (N = 1,504; 58.2% female and 41.8% male; 83.9% Caucasian, 13.6% African American, 2.5% other races) examined the effect of 5 smoking cessation pharmacotherapy treatments versus placebo (bupropion, nicotine lozenge, nicotine patch, bupropion + lozenge, patch + lozenge) on Shiffman et al.'s smoking cessation milestones over 8 weeks following a quit attempt. Results: Results show that all 5 medication conditions decreased rates of failure to achieve initial abstinence and most (with the exception of the nicotine lozenge) decreased lapse risk; however, only the nicotine patch and bupropion + lozenge conditions affected the lapse–relapse transition. Conclusions: These findings demonstrate that medications are effective at aiding initial abstinence and decreasing lapse risk but that they generally do not decrease relapse risk following a lapse. The analysis of cessation milestones sheds light on important impediments to long-term smoking abstinence, suggests potential mechanisms of action of smoking cessation pharmacotherapies, and identifies targets for future treatment development. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

What Is the Right Thing at the Right Time? Interactions Between Stages and Processes of Change Among Smokers Who Make a Quit Attempt.

C. A. Perz, C. C. DiClemente, and J. P. Carbonari (1996) claim support for the transtheoretical model notion that success in smoking cessation involves doing the right thing at the right time: emphasising experiential change processes during the contemplation and preparation stages and shifting to behavioral process activities during action. A key methodological limitation of Perz et al. was their failure to control for stage of change, a measure that has been shown to be predictive of cessation. This study replicates the prospective findings of Perz et al. in a different data set, then controls for stage of change when it is predictive of cessation, and finds that the measures of "appropriate" change process use developed by Perz et al. no longer predict cessation. The authors conclude that stage of change, in particular the distinction between smoking and not smoking, is more important than change process use in predicting cessation outcomes. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Are the stages of change for smokers qualitatively distinct? An analysis using an adolescent sample.

According to the transtheoretical model (J. O. Prochaska & C. C. DiClemente, 1983), current smokers can be usefully divided into three distinct stages. Questionnaire items needed for staging smokers contain questions about intentions to quit within fixed time frames (30 days and 6 months) and require "Yes" or "No" responses. However, some smokers might not think of quitting in terms of fixed time frames. If this were the case, these smokers would select "Yes" or "No" arbitrarily and be assigned to stages on the basis of arbitrary responses. This research employed a sample of high school smokers (n = 775) to address this issue by expanding the available responses to the stages of change (SOC) questionnaire items. In addition to "Yes" and "No," smokers were given the option of "Don't know/Undecided." When responding to the 30-day and 6-month questions, 33.1% and 35.8% of smokers, respectively, chose "Don't know/ Undecided." These results suggest that the SOC questionnaire items do not capture qualitative distinctions among adolescent smokers. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Hostility and smoking cessation treatment outcome in heavy social drinkers.

Hostility is a multifaceted construct encompassing affective, behavioral, and cognitive aspects. There is preliminary evidence linking hostility to poorer outcomes in smoking cessation treatment; however, it is unclear which components of hostility are most important in cessation. In this study, the authors examined multiple aspects of trait hostility in 92 heavy social drinkers who were seeking smoking cessation treatment. Consistent with their hypothesis, the authors found that the cognitive component of hostility was most relevant to smoking cessation outcome. Specifically, those who expressed bitterness about their lives and tended to believe that they had poor luck and had gotten a raw deal out of life had poor smoking cessation outcomes. Cognitive measures of hostility also predicted greater nicotine withdrawal symptoms 1 week after quitting smoking. Other components of hostility including anger and both physical and verbal aggression did not significantly predict smoking outcome or nicotine withdrawal. Further examination of how a hostile worldview contributes to smoking cessation failure is warranted, as this facet of hostility may prove a valuable target for smoking cessation interventions. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Attentional bias predicts outcome in smoking cessation.

Most attempts to quit smoking end in failure, with many quitters relapsing in the first few days. Responses to smoking-related cues may precipitate relapse. A modified emotional Stroop task-which measures the extent to which smoking-related words disrupt performance on a reaction time (RT) task-was used to index the distracting effects of smoking-related cues. Smokers (N=158) randomized to a high-dose nicotine patch (35 mg) or placebo patch completed the Stroop task on the 1st day of a quit attempt. Smokers using an active patch exhibited less attentional bias, making fewer errors on smoking related words. Smokers who showed greater attentional bias (slowed RT on the first block of smoking words) were significantly more likely to lapse in the short-term, even when controlling for self-reported urges at the test session. Attentional bias measures may tap an important component of dependence. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Concurrent brief versus intensive smoking intervention during alcohol dependence treatment.

Alcohol dependent smokers (N=118) enrolled in an intensive outpatient substance abuse treatment program were randomized to a concurrent brief or intensive smoking cessation intervention. Brief treatment consisted of a 15-min counseling session with 5 min of follow-up. Intensive intervention consisted of three 1-hr counseling sessions plus 8 weeks of nicotine patch therapy. The cigarette abstinence rate, verified by breath carbon monoxide, was significantly higher for the intensive treatment group (27.5%) versus the rate for the brief treatment group (6.6%) at 1 month after the quit date but not at 6 months, when abstinence rates fell to 9.1% for the intensive treatment group and 2.1% for the brief treatment group. Smoking treatment assignment did not significantly impact alcohol outcomes. Although intensive smoking treatment was associated with higher rates of short-term tobacco abstinence, other, perhaps more intensive, smoking interventions are needed to produce lasting smoking cessation in alcohol dependent smokers. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Evidence for clinical smoking cessation for adolescents.

Objective: This report reviews the evidence that informs the role of health and mental health care providers in addressing youth smoking cessation. Design: Qualitative literature review. Results: Physicians do not consistently screen adolescents for tobacco use and fail to provide recommended cessation advice. Challenges to addressing smoking cessation include the need for procedures to ensure confidentiality and the existence of competing demands to provide other services. Few published studies have specifically addressed the effectiveness of clinical interventions. Interventions that require return visits or follow-up phone contacts are technically difficult to implement in this population. Successful interventions may require resources not available in nonresearch settings. Most studies have used brief clinical intervention as a control condition, making it impossible to evaluate its effectiveness. Conclusion: There is little evidence that supports current clinical smoking cessation guidelines for adolescents. More research is needed to develop inexpensive, efficient clinical interventions that can provide youths access to smoking cessation help. Future challenges include reorganizing clinical systems to offer greater counseling by support staff or in electronic formats and to provide effective booster messages and follow-up care in a population that is difficult to track. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Effect of night smoking, sleep disturbance, and their co-occurrence on smoking outcomes.

Recent evidence suggests that smoking during the night is an indicator of nicotine dependence and predicts smoking cessation failure. Night smokers are likely to experience disturbance to their sleep cycle when they wake to smoke, but we are not aware of the prevalence of night smokers' self-reported sleep disturbance. Because sleep disturbance also predicts smoking cessation failure, we examined how the pre-cessation risk factors of night smoking and sleep disturbance, and their co-occurrence, predict smoking cessation failure in a 6-week double-blind randomized controlled trial examining whether naltrexone augments the efficacy of the nicotine patch (O'Malley et al., 2006). Smokers (N = 385) completed the Pittsburgh Sleep Quality Index (Buysse, Reynolds, Monk, Berman, & Kupfer, 1989) and a single item of waking at night to smoke pre-cessation. Smoking status was determined at weeks 1, 6, 24, and 48 weeks after quitting. The two main findings were: (a) night smokers reported significantly greater sleep disturbance than nonnight smokers; and (b) smokers with co-occurring night smoking and sleep disturbance experienced significantly greater risk for smoking than smokers with neither risk factor. Results suggest that individuals who both wake during the night to smoke and report clinically-significant sleep disturbance represent a high-risk group of smokers. Future smoking cessation treatment might incorporate strategies related to managing these smokers' sleep habits and physiological dependence on nicotine in order to bolster their cessation outcomes. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Pretreatment task persistence predicts smoking cessation outcome.

R. Eisenberger's (1992) learned industriousness theory states that individuals display differing degrees of persistence depending on their history of reinforcement for effortful behavior. These differences may influence the development, maintenance, and cessation of addictive behaviors. In cross-sectional studies, E. P. Quinn, T. H. Brandon, and A. L. Copeland (1996) found that cigarette smokers were less persistent than nonsmokers, and R. A. Brown, C. W. Lejuez, C. W. Kahler, and D. R. Strong (2002) found that smokers who had previously abstained for 3 months were more persistent than those who had never quit. The present study extended these findings by using a prospective design. A pretreatment measure of task persistence (mirror tracing) completed by 144 smokers predicted sustained abstinence throughout 12 months of follow-up. Moreover, persistence predicted outcome independent of other significant predictors: gender, nicotine dependence, negative affect, and self-efficacy. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

History of depression and smoking cessation outcome: A meta-analysis.

The authors conducted a meta-analysis of published studies to (a) evaluate the premise that a history of major depression is associated with failure to quit smoking and (b) identify factors that moderate the relationship between history of depression and cessation outcome. Fifteen studies met the selection requirements and were coded for various study methodology and treatment characteristics. DSTAT was used to calculate individual study effect sizes, determine the mean effect size across studies. and test for moderator effects. No differences in either short-term (≤ 3 months) or long-term abstinence rates (≥ 6 months) were observed between smokers positive versus negative for history of depression. Lifetime history of major depression does not appear to be an independent risk factor for cessation failure in smoking cessation treatment. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Need for cognition as a predictor and a moderator of outcome in a tailored letters smoking cessation intervention.

Objective: To analyze whether baseline need for cognition (NFC) was a predictor or a moderator of treatment outcome in a tailored letters intervention for smoking cessation. Design: A total of 1,499 daily smokers were recruited from general medical practices in Germany within a quasi-randomized trial testing the efficacies of two brief interventions for smoking cessation: (a) computer-generated tailored letters and (b) physician-delivered brief counseling versus assessment-only. For this study, we used data from 1,097 daily smokers who were assigned to the tailored letters or the assessment-only condition. Main Outcome Measures: self-reported 6-month prolonged abstinence from tobacco smoking assessed at 12-, 18-, and 24-month follow-ups, and smoking cessation self-efficacy assessed at 6- and 24-month follow-ups. Results: Baseline NFC predicted 6-month prolonged smoking abstinence (p = .01) and smoking cessation self-efficacy (p .05) but on smoking cessation self-efficacy (p = .05). Tailored letters resulted in higher smoking cessation self-efficacy only for persons with higher NFC. Conclusion: Higher levels of NFC are required to increase smoking cessation self-efficacy in computer-tailored interventions for smoking cessation. Considering an individual's NFC might improve the efficacy of written interventions for smoking cessation. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Evaluating three theory-based interventions to increase physicians' recommendations of smoking cessation services.

Objective: To evaluate three theory-based interventions aimed at increasing the rate at which primary care physicians recommend smoking cessation services to smokers. Design: Primary care physicians (n = 251) were randomized to one of four conditions: (a) information based on social cognitive theory (SCT) targeting outcome expectations, (b) information based on SCT + elaboration likelihood model, (c) feedback based on self-perception theory, or (d) control. Main Outcome Measures: Intentions to recommend and self-reported recommendations of smoking cessation services 1 week postintervention. Results: Data were analyzed using covariance and mean structure analysis. Compared with the control group, only the SCT group reported more frequently recommending services (mean difference = 1.1 recommendations per week, Cohen's d = 0.46) and higher intentions. Mediation analysis was consistent with increased intentions resulting from changes in outcome expectations. There was no evidence that changes in intentions explained self-reported behavior change. Conclusion: The study provides preliminary “proof of principle” for further studies incorporating more robust outcome measures. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Addressing heavy drinking in smoking cessation treatment: A randomized clinical trial.

Heavy alcohol use frequently co-occurs with cigarette smoking and may impede smoking cessation. This clinical trial examined whether smoking cessation treatment that incorporates brief alcohol intervention can improve smoking cessation outcomes (7-day verified point prevalence abstinence) and reduce drinks consumed per week. Heavy drinkers seeking smoking cessation treatment were assigned by urn randomization to receive, along with 8 weeks of nicotine replacement therapy, either a 4-session standard smoking cessation treatment (ST, n = 119) or standard treatment of equal intensity that incorporated brief alcohol intervention (ST-BI, n = 117). Across follow-ups over 26 weeks, participants in ST-BI reported approximately 20% fewer drinks per week (p     

Smoking, stress, and negative affect: Correlation, causation, and context across stages of smoking.

This transdisciplinary review of the literature addresses the questions, Do stress and negative affect (NA) promote smoking? and Does smoking genuinely relieve stress and NA? Drawing on both human and animal literatures, the authors examine these questions across three developmental stages of smoking--initiation, maintenance, and relapse. Methodological and conceptual distinctions relating to within- and between-subjects levels of analyses are emphasized throughout the review. Potential mechanisms underlying links between stress and NA and smoking are also reviewed. Relative to direct-effect explanations, the authors argue that contextual mediator-moderator approaches hold greater potential for elucidating complex associations between NA and stress and smoking. The authors conclude with recommendations for research initiatives that draw on more sophisticated theories and methodologies. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Rated helpfulness and partner-reported smoking cessation support across the pregnancy-postpartum continuum.

Support interventions have not changed smoking cessation rates significantly. The pregnancy-postpartum continuum presents a unique opportunity to examine patterns of support. Expectant couples (N = 477) were surveyed twice during pregnancy and 3 times postpartum. Partners reported positive and negative smoking-specific support; women reported the helpfulness of partner support. Linear trends suggest that women viewed support as more helpful during pregnancy than during postpartum. Partners' provision of positive support across the continuum depended on their smoking; provision of negative support depended on women's smoking. Partners who smoked provided lower levels of both positive and negative support, especially postpartum. Women who smoked throughout the pregnancy perceived their partner's negative support as helpful. Implications are that partners who smoke may need help staying engaged in the support process. Partners may provide negative support in response to women's smoking cues. Women who are struggling with cessation may not view negative support as negative. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Baseline reaction time predicts 12-month smoking cessation outcome in formerly depressed smokers.

Burgeoning evidence points to a positive association between cigarette smoking and depression. Moreover, depressive symptomatology, whether historical, current, or subsyndromal, appears to negatively influence smoking cessation efforts. Whereas depression is typically assessed via clinical interview or self-report, rarely are the known neurocognitive deficits linked to depression (e.g., global slowing) assessed in the context of smoking cessation research. Hence, this study examined whether simple reaction time--color naming of affectively neutral words--is predictive of 12-month smoking cessation outcome among a sample of formerly depressed smokers (N = 28). Results revealed a significant, positive correlation between reaction time and depressive symptoms such that those who exhibited slower reaction times were at heightened risk to relapse. Baseline depressive symptoms, as assessed via self-report, neither correlated with nor predicted smoking cessation outcome. Results from logistic regression analyses further showed that reaction time added incremental variance to the prediction of smoking cessation outcome. Therefore, simple reaction time may capture aspects of depression not typically assessed in self-report questionnaires. These results are discussed in terms of their theoretical and clinical implications for smoking cessation research. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Herzog’s (2008) criteria for evaluating TTM.

Comments on an article by T. A. Herzog (see record 2008-13168-006). Herzog applied 14 criteria to transtheoretical model (TTM)-based smoking cessation studies, and concluded that no study in the existing smoking cessation literature provides a true and full test of the TTM. But a few examples are provided that show how his list of unvalidated criteria can be fundamentally flawed. Herzog’s conclusion in the abstract is “The transtheoretical model applied to smoking cessation does not satisfy the criteria required of a valid stage model.” But, Herzog concluded that the studies were not adequate to test TTM. Does he believe his review proved the null hypothesis based on inadequate studies? Did all researchers apply TTM inadequately or are his criteria inadequate? (PsycINFO Database Record (c) 2010 APA, all rights reserved)