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Quantifying a systems map: network analysis of a childhood obesity causal loop diagram

McGlashan, Jaimie, Johnstone, Michael, Creighton, Doug, de la Haye, Kayla and Allender, Steven 2016, Quantifying a systems map: network analysis of a childhood obesity causal loop diagram, PLoS One, vol. 11, no. 10, Article number: e0165459, pp. 1-14, doi: 10.1371/journal.pone.0165459.

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Title Quantifying a systems map: network analysis of a childhood obesity causal loop diagram
Author(s) McGlashan, JaimieORCID iD for McGlashan, Jaimie orcid.org/0000-0003-4543-7161
Johnstone, MichaelORCID iD for Johnstone, Michael orcid.org/0000-0002-3005-8911
Creighton, DougORCID iD for Creighton, Doug orcid.org/0000-0002-9217-1231
de la Haye, Kayla
Allender, StevenORCID iD for Allender, Steven orcid.org/0000-0002-4842-3294
Journal name PLoS One
Volume number 11
Issue number 10
Season Article number: e0165459
Start page 1
End page 14
Total pages 14
Publisher Public Library of Science
Place of publication San Francisco, Calif.
Publication date 2016
ISSN 1932-6203
Summary Causal loop diagrams developed by groups capture a shared understanding of complex problems and provide a visual tool to guide interventions. This paper explores the application of network analytic methods as a new way to gain quantitative insight into the structure of an obesity causal loop diagram to inform intervention design. Identification of the structural features of causal loop diagrams is likely to provide new insights into the emergent properties of complex systems and analysing central drivers has the potential to identify leverage points. The results found the structure of the obesity causal loop diagram to resemble commonly observed empirical networks known for efficient spread of information. Known drivers of obesity were found to be the most central variables along with others unique to obesity prevention in the community. While causal loop diagrams are often specific to single communities, the analytic methods provide means to contrast and compare multiple causal loop diagrams for complex problems.
Language eng
DOI 10.1371/journal.pone.0165459
Field of Research 111711 Health Information Systems (incl Surveillance)
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Grant ID NHMRC APP1045836
NHMRC APP1041020
Copyright notice ©2016, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30088866

Document type: Journal Article
Collections: Faculty of Health
Population Health
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.