Comparing complex perspectives on obesity drivers: action‐driven communities and evidence‐oriented experts

Summary Introduction The Foresight obesity map represents an expert‐developed systems map describing the complex drivers of obesity. Recently, community‐led causal loop diagrams have been developed to support community‐based obesity prevention interventions. This paper presents a quantitative compar...

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Main Authors: J. McGlashan, J. Hayward, A. Brown, B. Owen, L. Millar, M. Johnstone, D. Creighton, S. Allender
Format: Article
Language:English
Published: Wiley 2018-12-01
Series:Obesity Science & Practice
Subjects:
Online Access:https://doi.org/10.1002/osp4.306
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author J. McGlashan
J. Hayward
A. Brown
B. Owen
L. Millar
M. Johnstone
D. Creighton
S. Allender
author_facet J. McGlashan
J. Hayward
A. Brown
B. Owen
L. Millar
M. Johnstone
D. Creighton
S. Allender
author_sort J. McGlashan
collection DOAJ
description Summary Introduction The Foresight obesity map represents an expert‐developed systems map describing the complex drivers of obesity. Recently, community‐led causal loop diagrams have been developed to support community‐based obesity prevention interventions. This paper presents a quantitative comparison between the Foresight obesity systems map and a community‐developed map of the drivers of obesity. Methods Variables from a community‐developed map were coded against the thematic clusters defined in the Foresight map to allow comparison of their sizes and strength of adjoining causal relationships. Central variables were identified using techniques from network analysis. These properties were compared to understand the similarities and differences between the systems as defined by the two groups. Results The community map focused on environmental influences, such as built physical activity environment (18% of variables) and social psychology (38%). The Foresight map's largest cluster was physiology (23%), a minimal focus in the community map (2%). Network analysis highlighted media and available time within both maps, but variables related to school and sporting club environments were unique to the community map. Conclusion Community stakeholders focus on modifiable social and environmental drivers of obesity. Capturing local perspectives is critical when using systems maps to guide community‐based obesity prevention.
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spelling doaj.art-8ba1943416f2403586b500394c3ab7bd2022-12-21T17:49:11ZengWileyObesity Science & Practice2055-22382018-12-014657558110.1002/osp4.306Comparing complex perspectives on obesity drivers: action‐driven communities and evidence‐oriented expertsJ. McGlashan0J. Hayward1A. Brown2B. Owen3L. Millar4M. Johnstone5D. Creighton6S. Allender7Global Obesity Centre (GLOBE), School of Health and Social Development Deakin University Geelong Victoria AustraliaGlobal Obesity Centre (GLOBE), School of Health and Social Development Deakin University Geelong Victoria AustraliaGlobal Obesity Centre (GLOBE), School of Health and Social Development Deakin University Geelong Victoria AustraliaGlobal Obesity Centre (GLOBE), School of Health and Social Development Deakin University Geelong Victoria AustraliaAustralian Health Policy Collaboration Victoria University Melbourne Victoria AustraliaInstitute for Intelligent Systems Research and Innovation Deakin University Geelong Victoria AustraliaInstitute for Intelligent Systems Research and Innovation Deakin University Geelong Victoria AustraliaGlobal Obesity Centre (GLOBE), School of Health and Social Development Deakin University Geelong Victoria AustraliaSummary Introduction The Foresight obesity map represents an expert‐developed systems map describing the complex drivers of obesity. Recently, community‐led causal loop diagrams have been developed to support community‐based obesity prevention interventions. This paper presents a quantitative comparison between the Foresight obesity systems map and a community‐developed map of the drivers of obesity. Methods Variables from a community‐developed map were coded against the thematic clusters defined in the Foresight map to allow comparison of their sizes and strength of adjoining causal relationships. Central variables were identified using techniques from network analysis. These properties were compared to understand the similarities and differences between the systems as defined by the two groups. Results The community map focused on environmental influences, such as built physical activity environment (18% of variables) and social psychology (38%). The Foresight map's largest cluster was physiology (23%), a minimal focus in the community map (2%). Network analysis highlighted media and available time within both maps, but variables related to school and sporting club environments were unique to the community map. Conclusion Community stakeholders focus on modifiable social and environmental drivers of obesity. Capturing local perspectives is critical when using systems maps to guide community‐based obesity prevention.https://doi.org/10.1002/osp4.306Community healthcomplexitynetwork analysisobesity preventionsystems science
spellingShingle J. McGlashan
J. Hayward
A. Brown
B. Owen
L. Millar
M. Johnstone
D. Creighton
S. Allender
Comparing complex perspectives on obesity drivers: action‐driven communities and evidence‐oriented experts
Obesity Science & Practice
Community health
complexity
network analysis
obesity prevention
systems science
title Comparing complex perspectives on obesity drivers: action‐driven communities and evidence‐oriented experts
title_full Comparing complex perspectives on obesity drivers: action‐driven communities and evidence‐oriented experts
title_fullStr Comparing complex perspectives on obesity drivers: action‐driven communities and evidence‐oriented experts
title_full_unstemmed Comparing complex perspectives on obesity drivers: action‐driven communities and evidence‐oriented experts
title_short Comparing complex perspectives on obesity drivers: action‐driven communities and evidence‐oriented experts
title_sort comparing complex perspectives on obesity drivers action driven communities and evidence oriented experts
topic Community health
complexity
network analysis
obesity prevention
systems science
url https://doi.org/10.1002/osp4.306
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