Evaluating the effect of smoking cessation treatment on a complex dynamical system.

ABSTRACT:

Objective

To understand the dynamic relations among tobacco withdrawal symptoms to inform the development of effective smoking cessation treatments. Dynamical system models from control engineering are introduced and utilized to evaluate complex treatment effects. We demonstrate how dynamical models can be used to examine how distinct withdrawal-related processes are related over time and how treatment influences these relations.

Method

Intensive longitudinal data from a randomized placebo-controlled smoking cessation trial (N=1504) are used to estimate a dynamical model of withdrawal-related processes including momentary craving, negative affect, quitting self-efficacy, and cessation fatigue for each of six treatment conditions (nicotine patch, nicotine lozenge, bupropion,

SUBMITTER: Bekiroglu K 

PROVIDER: S-EPMC5901658 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature