Dynamic systems modeling to identify a cohort of problem drinkers with similar mechanisms of behavior change

One challenge to understanding mechanisms of behavior change (MOBC) completely among individuals with alcohol use disorder is that processes of change are theorized to be complex, dynamic (time varying), and at times non-linear, and they interact with each other to influence alcohol consumption. We...

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Bibliographic Details
Published inJournal for person-oriented research Vol. 3; no. 2
Main Authors Kidist Bekele-Maxwell, R. A. Everett, Sijing Shao, Alexis Kuerbis, Lyric Stephenson, H. T. Banks, Jon Morgenstern
Format Journal Article
LanguageEnglish
Published Lund University Library 30.03.2018
Subjects
behavior change
dynamical modeling
ecological momentary assessment data
inverse problems
Mathematical psychology
personalized medicine
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Summary:One challenge to understanding mechanisms of behavior change (MOBC) completely among individuals with alcohol use disorder is that processes of change are theorized to be complex, dynamic (time varying), and at times non-linear, and they interact with each other to influence alcohol consumption. We used dynamical systems modeling to better understand MOBC within a cohort of problem drinkers undergoing treatment. We fit a mathematical model to ecological momentary assessment data from individual patients who successfully reduced their drinking by the end of the treatment. The model solutions agreed with the trend of the data reasonably well, suggesting the cohort patients have similar MOBC. This work demonstrates using a personalized approach to psychological research, which complements standard statistical approaches that are often applied at the population level.
ISSN:2002-0244
2003-0177
DOI:10.17505/jpor.2017.09