Premium
A System Dynamic Model of Drinking Events: Multi‐Level Ecological Approach
Author(s) -
Clapp John D.,
Madden Danielle R.,
Gonzalez Villasanti Hugo,
Giraldo Luis Felipe,
Passino Kevin M.,
Reed Mark B.,
Fernandez Puentes Isabel
Publication year - 2018
Publication title -
systems research and behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 1092-7026
DOI - 10.1002/sres.2478
Subject(s) - causal loop diagram , system dynamics , computer science , conceptual model , causal model , process (computing) , identification (biology) , diagram , operations research , ecology , artificial intelligence , engineering , mathematics , statistics , database , biology , operating system
Drinking events are dynamic. The interactions of individuals, groups, and the environment as they relate to drinking behaviour are overwhelmingly complex. This paper presents an empirically grounded dynamic conceptual model to better understand drinking events. Using a collaborative mixed‐methods approach, we developed an aggregated system dynamic model of drinking events. The process began with identification of system elements and boundaries. Once the first aspects of the model were completed, we constructed a causal loop diagram, an aggregated causal loop diagram, and stock and flow diagrams. Finally, we developed and ran computer simulations of the dynamical models. The model presented here can be used to guide future agent‐based, system dynamics, or differential equation‐based models. Such models can help inform future empirical work and modelling to increase the understanding of drinking events and provide solutions to the problems that happen proximal to these events. Copyright © 2018 John Wiley & Sons, Ltd.