Data driven mixed effects modeling of the dual process framework of addiction among individuals with alcohol use disorder.

ABSTRACT: Alcohol use disorder (AUD) comprises a continuum of symptoms and associated problems that has led AUD to be a leading cause of morbidity and mortality across the globe. Given the heterogeneity of AUD from mild to severe, consideration is being given to providing a spectrum of interventions that offer goal choice to match this heterogeneity, including helping individuals with AUD to moderate or control their drinking at low-risk levels. Because so much remains unknown about the factors that contribute to successful moderated drinking, we use dynamical systems modeling to identify mechanisms of behavior change. Daily alcohol consumption and daily desire (i.e., craving) are modeled using a system of delayed difference equations. Employing a mixed effects implementation of this system allows u

SUBMITTER: Everett RA 

PROVIDER: S-EPMC10406226 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature