Network analysis reveals the associations of past quit experiences on current smoking behavior and motivation to quit.

INTRODUCTION: Smoking is a leading cause of morbidity and mortality in the United States. While most smokers endorse a desire to quit, achieving abstinence is notoriously difficult. Network analysis is a method for understanding the complex relationships of factors that maintain smoking behavior and impact motivation to quit. METHODS: This study examined self-report prescreen data from treatment-seeking smokers (N = 3913). The number of prior quit attempts and withdrawal symptoms experienced, as well as current smoking behavior and motivation to quit were modeled as interconnected nodes in a network. Two key network metrics were examined: 1) edge weights, which quantify the strength and direction of the associations of interest, and 2) the sum of each node's edge weights, which quantifies the expected influence of a node on the overall network. RESULTS: The withdrawal symptom of craving, r = 0.10, 95% CI [0.07, 0.13] and digestive problems, r = -0.06, 95% CI [-0.09, -0.03], had the strongest positive and negative association with daily cigarettes, respectively. The number of prior quit attempts, r = 0.17, 95% CI [0.14, 0.20], concentration problems, r = -0.04, 95% CI [-0.027, -0.01], showed the strongest positive and negative associations, respectively, with current motivation to quit. Nodes with significant links to current smoking and motivation to quit were also among the most influential in the overall network. CONCLUSIONS: Findings suggest prior quit experiences and consequences associated with withdrawal symptoms may differentially relate to maintenance of smoking behavior and motivation to quit in treatment-seeking smokers. Interventions targeting key withdrawal symptoms may enhance motivation to quit.

Isradipine enhancement of virtual reality cue exposure for smoking cessation: Rationale and study protocol for a double-blind randomized controlled trial.

Cigarette smoking remains a leading cause of preventable death in the United States, contributing to over 480,000 deaths each year. Although significant strides have been made in the development of effective smoking cessation treatments, most established interventions are associated with high relapse rates. One avenue for increasing the effectiveness of smoking cessation interventions is to design focused, efficient, and rigorous experiments testing engagement of well-defined mechanistic targets. Toward this aim, the current protocol will apply a pharmacologic augmentation strategy informed by basic research in animal models of addiction. Our goal is to evaluate the enhancing effect of isradipine, an FDA-approved calcium channel blocker, on the extinction of craving-a key mechanism of drug relapse after periods of abstinence. To activate craving robustly in human participants, we will use multimodal smoking cues including novel 360° video environments developed for this project and delivered through consumer virtual reality headsets. Adult smokers will take either isradipine or placebo and complete the cue exposure protocol in a double-blind randomized control trial. In order to test the hypothesis that isradipine will enhance retention of craving extinction, participants will repeat cue exposure 24 h later without the administration of isradipine or placebo. The study will be implemented in a primary care setting where adult smokers receive healthcare, and smoking behavior will be tracked throughout the trial with ecological momentary assessment.