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

ABSTRACT:

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, whic

SUBMITTER: Dutcher CD 

PROVIDER: S-EPMC7736500 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature