IDEAS home Printed from https://ideas.repec.org/a/bla/srbeha/v35y2018i3p265-281.html
   My bibliography  Save this article

A System Dynamic Model of Drinking Events: Multi†Level Ecological Approach

Author

Listed:
  • John D. Clapp
  • Danielle R. Madden
  • Hugo Gonzalez Villasanti
  • Luis Felipe Giraldo
  • Kevin M. Passino
  • Mark B. Reed
  • Isabel Fernandez Puentes

Abstract

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.

Suggested Citation

  • John D. Clapp & Danielle R. Madden & Hugo Gonzalez Villasanti & Luis Felipe Giraldo & Kevin M. Passino & Mark B. Reed & Isabel Fernandez Puentes, 2018. "A System Dynamic Model of Drinking Events: Multi†Level Ecological Approach," Systems Research and Behavioral Science, Wiley Blackwell, vol. 35(3), pages 265-281, May.
  • Handle: RePEc:bla:srbeha:v:35:y:2018:i:3:p:265-281
    DOI: 10.1002/sres.2478
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sres.2478
    Download Restriction: no

    File URL: https://libkey.io/10.1002/sres.2478?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hugo Gonzalez Villasanti & Danielle Madden & Kevin Passino & John Clapp, 2021. "A dynamic multilevel ecological approach to drinking event modelling and intervention," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(4), pages 473-487, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:srbeha:v:35:y:2018:i:3:p:265-281. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/1092-7026 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.