Weight gain following smoking cessation.

Smoking generally suppresses body weight below "normal," and smoking cessation allows weight to return to normal. This weight gain following cessation appears to be due to a transient increase in eating coupled with the removal of acute metabolic effects of each cigarette, with no change in physical activity. Nevertheless, tobacco smoke (and specifically nicotine) does not appear to be simply either an anorectic or a thermogenic agent. Although there may be no easy explanation for the effects of smoking on energy balance, the most parsimonious explanation may be that smoking lowers body weight "set point" and cessation raises set point. The transient changes in eating are therefore secondary to the changes in body weight set point. This notion is supported by animal research with nicotine as well as with other drugs, and it is also supported less directly by the pattern of changes observed with changes in smoking status among humans. A set-point explanation for weight gain after smoking cessation may also help explain the lack of success of interventions designed to prevent this weight gain. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A longitudinal analysis of unaided smoking cessation.

A sample of 153 smokers who attempted to quit smoking without treatment was followed for 2 years. Follow-up assessment occurred at 1 month, 4 months, 1 year, and 2 years postquit. A subsample of 69 individuals was also interviewed prior to their quit date. The majority of participants (77%) achieved at least 24 hr of abstinence by the 1-month follow-up. However, subsequent relapse rates were high: Only 13% of the sample was abstinent at 1 year, and 19% reported abstinence at the 2-year follow-up. Variables related to short-term outcome were generally unrelated to long-term outcome. Individuals who succeeded at initial cessation were more likely to be men and to be lighter smokers. Among those who initially quit, abstainers at 1 month were less likely to have participated in prior treatment, to report smokers among their friends, and to live with other smokers. At 2 years, abstainers were younger and had smoked for fewer years. The use of multiple strategies for cessation was associated with abstinence at the 2-year follow-up. A strong motivation to quit was found to be important for both initial success and long-term maintenance. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

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) 2010 APA, all rights reserved)     

Predictors of weight change following smoking cessation

Smoking behavior and weight change over a 5-year period were studied in 1,749 adult males of the Normative Aging Study. While men who quit smoking generally gained more weight than those in other smoking categories, 36% either lost weight or maintained the same weight after quitting. The major research focus was to predict the direction of weight change after smoking cessation. Among the characteristics most related to weight gain after quitting were heavier tar consumption, younger age, and leanness of body build. Conversely, traits related to weight loss were lighter smoking, older age, and stoutness of build.     

Changes in energy balance following smoking cessation and resumption of smoking in women.

Caloric intake, resting metabolic rate (RMR), leisure-time physical activity, and sensitivity and preference for sweet taste were prospectively examined in 7 female smokers across 3 weeks during periods of normal smoking (Week 1), complete cessation (Week 2), and resumption of smoking (Week 3). Energy balance changed significantly across weeks, as caloric intake increased (largely as a result of alcohol consumption) and RMR decreased during cessation, followed by decreased caloric intake and increased RMR with resumption of smoking. Activity and taste sensitivity and preference remained unchanged. Smoking cessation may thus cause rapid change in energy balance, which is quickly reversed on resumption of smoking. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Are weight concerns predictive of smoking cessation? A prospective analysis.

Participants in an 8-session, community-based smoking cessation intervention rated whether they would stay quit if they experienced weight gain. The majority reported that they would not relapse to smoking, even after a 20-lb. (9.07-kg) weight gain. Those who were weight concerned were more likely to be female, to weigh less and be normal or underweight, and to report chronic dieting. This group was also significantly less likely to be abstinent posttreatment, and at the 1-, 6- and 12-month follow-ups. Individuals presenting for formal smoking cessation interventions may be less weight concerned than the general population of smokers. However, weight-concerned smokers who do present for treatment are less likely to quit smoking. Implications for recruitment and intervention are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Motivational interviewing for smoking cessation: A meta-analytic review.

Objective: Motivational interviewing (MI) is a treatment approach that has been widely examined as an intervention for tobacco dependence and is recommended in clinical practice guidelines. Previous reviews evaluating the efficacy of MI for smoking cessation noted effects that were modest in magnitude but included few studies. The current study is a comprehensive meta-analysis of MI for smoking cessation. Method: The meta-analysis included 31 controlled trials with an abstinence outcome variable. Studies with nonpregnant (N = 23) and pregnant samples (N = 8) were analyzed separately. Results: For nonpregnant samples, combined results suggest that MI significantly outperformed comparison conditions at long-term follow-up points (dc = .17). The magnitudes of this result represented a 2.3% difference in abstinence rates between MI and comparison groups. All analyses investigating the impact of moderating participant, intervention, and study design characteristics on outcome were nonsignificant, with the exception of studies including international, non-U.S. samples, which had larger effects overall. Several subgroups of studies had significant combined effect sizes, pointing to potentially promising applications of MI, including studies that had participants with young age, medical comorbidities, low tobacco dependence, and, consistent with clinical practice guidelines, low motivation or intent to quit. Effects were smaller among pregnant samples. In addition, significant combined effect sizes were observed among subgroups of studies that administered less than 1 hr of MI and among studies that reported high levels of treatment fidelity. Conclusions: The results are interpreted in light of other behavioral approaches to smoking cessation, and the public health implications of the findings are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Stress and unaided smoking cessation: A prospective investigation.

A prospective design was used to determine the outcomes associated with unaided smoking cessation and the influence of stress on cessation. Heavy smokers (N?=?308) completed stress-related measures and were then recontacted at 1, 6, and 12 mo. At each follow-up, they indicated their smoking status (which was confirmed by collateral report and biochemical tests) and completed several stress-related questionnaires. Results indicate that 33% of Ss smoked continuously throughout the year, 39% quit briefly but subsequently relapsed, and 15% quit (confirmed biochemically). An additional 7% reported they had quit, but this could not be confirmed, and 6% were lost to follow-up. Compared with nonquitters, quitters reported less perceived stress, greater self-efficacy, greater use of problem solving and cognitive restructuring, and less reliance on wishful thinking, self-criticism, and social withdrawal. A model to forecast quitting was built and cross-validated. (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)     

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)     

Longitudinal analysis of abstinence-specific social support and smoking cessation.

Objectives: (1) To replicate previous research finding that abstinence-specific social support during the active phase of quitting predicts short- and long-term smoking cessation treatment outcome. (2) To describe time-related changes in abstinence-specific support, including how support provided during middle and later phases of the quitting process is associated with treatment outcome. Design: Combined data from three randomized clinical trials of smoking cessation treatment (N = 739) were analyzed using logistic regression and analysis of variance. Main Outcome Measures: Measures included the Partner Interaction Questionnaire (PIQ; Cohen & Lichtenstein, 1990), a measure of smoking-related social support, and smoking status according to 7-day point-prevalence abstinence. Results: Longitudinal analyses found that positive support peaked at week 12, decreasing thereafter. Positive support provided after week 12 did not differentiate between those who never quit smoking, those who quit and relapsed, and those who maintained abstinence. In contrast, negative support was monotonic and was useful at follow-up points for distinguishing between outcome groups. Conclusion: These results suggest that positive and negative support are both important factors in the early phase of quitting, but it is the continued minimization of negative support that best predicts maintenance of nonsmoking. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A controlled smoking cessation trial for substance-dependent inpatients.

Smoking treatment for newly recovering drug and alcohol-dependent smokers in a residential rehabilitation program was examined. The randomly assigned conditions (n?=?50 each) were multicomponent smoking treatment (MST), MST plus generalization training of smoking cessation to drug and alcohol cessation (MST+G), or usual care (UC). Fifty participants who declined smoking treatment (treatment refusers) also were studied. Both treatment conditions achieved continuous smoking abstinence rates (MST: 12%. MST+G: 10%, at 12-month follow-up) that were significantly higher than in the UC condition (0%). The MST condition had a continuous drug and alcohol abstinence rate that was significantly higher than that of the MST+G condition (40% vs. 20% at 12-month follow-up) although neither differed significantly from that of the UC condition (33%). These results support the feasibility of smoking treatment for this population and provide information regarding appropriate treatment components. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Self-efficacy and relapse in smoking cessation: A replication and extension.

In an effort to replicate and extend findings by M. M. Condiotte and E. Lichtenstein (see record 1982-01877-001), the relationship of a measure of self-efficacy—the Confidence Questionnaire—to posttreatment smoking status was assessed. Ss were 74 smokers (mean age 37 yrs). End-of-treatment self-efficacy scores were significantly correlated with follow-up smoking status at 3-mo and 6-mo follow-up, but not at 1 yr. When only Ss who were abstinent at termination were considered, self-efficacy still correlated significantly with 3-mo follow-up but not with 6-mo or 1-yr smoking status. Smoking during treatment was associated with lower end-of-treatment efficacy scores. (3 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Self-help interventions for smoking cessation.

Self-help interventions for smoking cessation are an important bridge between the clinical and public health approaches to smoking cessation. The current literature on self-help interventions is encouraging but incomplete. Although their quit rates are lower than those of more intensive programs, self-help interventions could have a large public health impact because of their potential for widespread distribution. Studies comparing self-help to more intensive treatment suggest that long-term cessation rates for self-help programs are potentially as high as rates for face-to-face interventions, with lower quit rates for self-help programs that are likely due to differences in program adherence. Tailored materials and personalized adjuncts (e.g., written feedback or telephone counseling) that promote program adherence may increase cessation rates. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Absentminded lapses during smoking cessation.

Although it is widely believed that drug cravings are responsible for drug use and relapse, S. T. Tiffany (1990) has proposed a cognitive model in which drug use is triggered not by craving but by the cuing of automatized action plans. The purpose of this study was to examine the lapse episodes from an ecological momentary assessment (EMA) study of smokers attempting to quit for evidence of automatic, or absentminded, lapses with slight or no urges to smoke, in keeping with S. T. Tiffany's (1990) model. Qualitative analysis of 270 EMA reports made by 41 smokers during the first 14 days of quitting identified 15 (6%) absentminded lapses. Quantitative urge levels were significantly lower during absentminded lapses compared with nonabsentminded lapses; however, urges were not very low. Results indicate that absentminded lapses may occur but are probably relatively rare. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Smoker networks and the "typical smoker": A prospective analysis of smoking cessation.

Perceptions of the typical smoker (i.e., prototype) were assessed in a sample of 174 adult smokers when they first joined a cessation clinic and were used to predict smoking status at 6-month follow-up. As predicted, consistent with a prototype-based model of health risk behavior (F. X. Gibbons & M. Gerrard; see record 83-01291, in press), smokers with more favorable perceptions were more likely to have relapsed at follow-up. Also as predicted, this prospective effect was moderated by smokers' social networks: Prototypes did not predict status among those who had a lot of friends and family members who smoked, suggesting that these other smokers were inhibiting smokers' attempts to distance themselves psychologically from the prototype. Implications of the results for interventions that use prototypes to discourage smoking are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Gender differences in smoking cessation.

Gender differences in smoking quit rates are frequently reported and are the subject of much speculation. This study examined the generalizability of gender differences in abstinence across study sites, treatments, and time of relapse, as well as potential mediators and moderators of gender effects. Participants were smokers who participated in 3 randomized clinical trials of the nicotine patch (N?=?632). Men had higher cessation rates than women at all follow-ups. The impact of gender on abstinence was unaffected by controlling for study site, treatment. or time of relapse. There was little evidence for mediation or moderation of this relation by any of a host of predictor variables. The magnitude and consistency of the gender differential, coupled with an inability to account for it, highlights a compelling need for additional research specifically aimed at elucidating the relation between gender and abstinence. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A volitional help sheet to encourage smoking cessation: A randomized exploratory trial.

Objective: The volitional help sheet draws on Gollwitzer's (1993) concept of implementation intentions by encouraging smokers to link temptations to smoke with appropriate behavioral responses derived from Prochaska and DiClemente's (1983) transtheoretical model. Design: There were 193 smokers who were randomly allocated to receive questionnaires, planning instruction, and a volitional help sheet or one of three control conditions: Questionnaire-only; questionnaire plus planning instruction; or questionnaire, planning instruction plus volitional help sheet without the explicit instruction to link temptations to smoke with appropriate behavioral responses. Main Outcome Measures: Nicotine dependence, number of cigarettes smoked and quit status. Results: Findings revealed significant decreases in nicotine dependence, number of cigarettes smoked, and increases in quitting in the volitional help sheet condition, relative to the control conditions, Fs(3, 189) = 7.48 to 10.78, ps ps = .11 to .15. This pattern of findings did not hold for social?cognitive variables, with few differences between the volitional help sheet (standard instructions) group and the other conditions. Conclusion: The findings provide support for the use of implementation intentions to protect against health risk behaviors and are congruent with laboratory research showing that implementation intentions are a case of strategic automaticity. (PsycINFO Database Record (c) 2010 APA, all rights reserved)