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Understanding quit patterns from a randomized clinical trial: Latent classes, predictors, and long-term abstinence
Lorra Garey1, Kara Manning1, Danielle E McCarthy2
1Department of Psychology, University of Houston, United States of America.
Addictive Behaviors
|February 27, 2019
Summary
Understanding smoking trajectories during the critical Cessation phase is key to successful quitting. This study identified four distinct quit behavior patterns, informing tailored smoking cessation treatments for better long-term abstinence.
Area of Science:
- Addiction research
- Behavioral psychology
- Public health
Background:
- Tobacco dependence treatment is a chronic process with a critical Cessation phase.
- Smoking trajectories during cessation are not well understood.
- This study examines quit behavior during the Cessation phase of integrated smoking treatment.
Purpose of the Study:
- To evaluate quit behavior patterns during the Cessation phase of integrated smoking treatment.
- To identify predictors of different quit trajectories.
- To understand the relationship between quit behavior patterns and long-term abstinence.
Main Methods:
- Included 267 treatment-seeking smokers in a clinical trial.
- Employed repeated-measure latent class analysis to assess quit patterns from quit day to 14 days post-quit.
Main Results:
- Identified four distinct classes of quit behavior: Consistent Quitters, Non-Quitters, Relapsers, and Delayed Quitters.
- Predictors of class membership included age, prior quit attempts, motivation to quit, and smoking urges on quit day.
- Class membership was significantly associated with 6-month abstinence.
Conclusions:
- Four relevant classes of quit behavior exist, each with unique predictors.
- These classes are linked to long-term smoking abstinence.
- Findings can inform manualized smoking cessation interventions tailored to specific quit behavior subgroups.
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