Dataset Information

A Pilot Randomized Controlled Trial of Distress Tolerance Treatment for Weight Concern in Smoking Cessation Among Women.

ABSTRACT:

Introduction

The majority of women who smoke cigarettes report that concern about weight gain is a barrier to quitting. We developed an intervention incorporating distress tolerance, appetite awareness, and mindful eating skills to target concerns about post-cessation weight gain and emotional eating (DT-W). In the current study, we conducted a pilot randomized controlled trial of DT-W versus a smoking health education (HE) intervention.

Methods

Participants (N = 69 adult female, weight-concerned smokers) were recruited in cohorts of 4-11. Cohorts were randomized to DT-W or HE. DT-W and HE were matched on format (single individual session followed by eight group sessions), inclusion of cognitive behavioral therapy for smoking cessation (CBT) content, and pharmacotherapy (nicotine patches). Follow-up assessments occurred at 1-, 3-, and 6-months post-treatment.

Results

The recruitment goal was met; 61 of the 69 participants attended at least one group session. There were no significant differences between DT-W and HE in the number of group sessions attended (DT-W adjusted M = 5.09, HE adjusted M = 5.03, p = .92), ratings of treatment effectiveness or usefulness of skills, or retention at 6-month follow-up (79% in DT-W vs. 78% in HE) (ps > .05), but comprehension ratings were lower in DT-W than in HE (p = .02).

Conclusions

Overall, these results suggest that the study procedures and interventions were feasible and acceptable, but changes to the DT-W intervention content to improve comprehension should be considered prior to conducting a fully powered trial.

Implications

A distress tolerance-based treatment targeting fear of weight gain after smoking cessation and post-cessation emotional eating was feasible and acceptable relative to a smoking HE comparison condition, but changes should be considered before conducting a larger trial. Continued innovation in treatment development for weight-concerned smokers is needed.

SUBMITTER: Bloom EL

PROVIDER: S-EPMC7443582 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Publications

A Pilot Randomized Controlled Trial of Distress Tolerance Treatment for Weight Concern in Smoking Cessation Among Women.

Bloom Erika Litvin EL Ramsey Susan E SE Abrantes Ana M AM Hunt Laura L Wing Rena R RR Kahler Christopher W CW Molino Janine J Brown Richard A RA

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco 20200801 9

<h4>Introduction</h4>The majority of women who smoke cigarettes report that concern about weight gain is a barrier to quitting. We developed an intervention incorporating distress tolerance, appetite awareness, and mindful eating skills to target concerns about post-cessation weight gain and emotional eating (DT-W). In the current study, we conducted a pilot randomized controlled trial of DT-W versus a smoking health education (HE) intervention.<h4>Methods</h4>Participants (N = 69 adult female, ...[more]

PMID: 31993658

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Project description:BackgroundPostmenopausal smokers have difficulty quitting smoking and experience considerable weight gain with smoking cessation. We examined whether adjunctive smoking treatment with exercise, compared to a relaxation control condition, could improve cigarette abstinence, decrease cigarettes smoked per day (CPD), and ameliorate changes in body mass index (BMI) in postmenopausal smokers.MethodsWomen (N = 301) signed informed consent and were randomized to treatment at two sites (Universities of Connecticut and Minnesota). We randomized groups of participants to a comprehensive group treatment program that included 12 weeks of varenicline and either a moderate exercise or relaxation component for 6 months. Participants were followed for a year after medication treatment.ResultsOverall, 17.3% of patients reported carbon monoxide-verified continuous abstinence for the 9- to 12-week period, and 11.6% reported prolonged abstinence at 1 year, with no significant differences between treatment conditions. CPD reported at study visits showed significant main effects for time in weeks, for site, and for treatment. The Exercise condition reported smoking fewer CPD over time, and that advantage widened over time. In terms of BMI, significant effects for time in weeks, and for the interaction of Week × Treatment condition, reflected gradually increasing BMI in these women over time, but with the increase in BMI slower in the Exercise condition.ConclusionsExercise, compared to relaxation, was associated with a reduced BMI and CPD in postmenopausal women, but did not increase end of treatment or prolonged abstinence. Further research is needed to devise exercise programs that increase smoking cessation rates in postmenopausal women.ImplicationsThis study adds to the literature on the effectiveness of a moderate exercise intervention compared to a relaxation control condition as an adjunctive treatment for smoking cessation in postmenopausal women. Our exercise program did not increase end of treatment or prolonged abstinence rates in postmenopausal women; however, there was a beneficial effect on smoking reduction and reduced body mass index. Additional research is needed to devise exercise programs that increase smoking cessation rates in postmenopausal women.

Project description:BackgroundHeavy drinking (HD) is far more common among smokers compared with nonsmokers and interferes with successful smoking cessation. Alcohol-focused smoking cessation interventions delivered by counselors have shown promise, but digital versions of these interventions-which could have far greater population reach-have not yet been tested.ObjectiveThis pilot randomized controlled trial aimed to examine the feasibility, acceptability, and effect sizes of an automated digital smoking cessation program that specifically addresses HD using an interactive web-based intervention with an optional text messaging component.MethodsParticipants (83/119, 69.7% female; 98/119, 82.4% white; mean age 38.0 years) were daily smokers recruited on the web from a free automated digital smoking cessation program (BecomeAnEX.org, EX) who met the criteria for HD: women drinking 8+ drinks/week or 4+ drinks on any day and men drinking 15+ drinks/week or 5+ drinks on any day. Participants were randomized to receive EX with standard content (EX-S) or an EX with additional content specific to HD (EX-HD). Outcomes were assessed by web-based surveys at 1 and 6 months.ResultsParticipants reported high satisfaction with the website and the optional text messaging component. Total engagement with both EX-S and EX-HD was modest, with participants visiting the website a median of 2 times, and 52.9% of the participants enrolled to receive text messages. Participants in both the conditions showed substantial, significant reductions in drinking across 6 months of follow-up, with no condition effects observed. Although smoking outcomes tended to favor EX-HD, the condition effects were small and nonsignificant. A significantly smaller proportion of participants in EX-HD reported having a lapse back to smoking when drinking alcohol (7/58, 16%) compared with those in EX-S (18/61, 41%; χ21=6.2; P=.01).ConclusionsThis is the first trial to examine a digital smoking cessation program tailored to HD smokers. The results provide some initial evidence that delivering such a program is feasible and may reduce the risk of alcohol-involved smoking lapses. However, increasing engagement in this and other web-based interventions is a crucial challenge to address in future work.Trial registrationClinicalTrials.gov NCT03068611; https://clinicaltrials.gov/ct2/show/NCT03068611.

Dataset Information

A Pilot Randomized Controlled Trial of Distress Tolerance Treatment for Weight Concern in Smoking Cessation Among Women.

Introduction

Methods

Results

Conclusions

Implications

Publications

A Pilot Randomized Controlled Trial of Distress Tolerance Treatment for Weight Concern in Smoking Cessation Among Women.

Similar Datasets

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