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Using systems science to understand the determinants of inequities in healthy eating
INTRODUCTION: Systems thinking has emerged in recent years as a promising approach to understanding and acting on the prevention and amelioration of non-communicable disease. However, the evidence on inequities in non-communicable diseases and their risks factors, particularly diet, has not been exa...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708780/ https://www.ncbi.nlm.nih.gov/pubmed/29190662 http://dx.doi.org/10.1371/journal.pone.0188872 |
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author | Friel, Sharon Pescud, Melanie Malbon, Eleanor Lee, Amanda Carter, Robert Greenfield, Joanne Cobcroft, Megan Potter, Jane Rychetnik, Lucie Meertens, Beth |
author_facet | Friel, Sharon Pescud, Melanie Malbon, Eleanor Lee, Amanda Carter, Robert Greenfield, Joanne Cobcroft, Megan Potter, Jane Rychetnik, Lucie Meertens, Beth |
author_sort | Friel, Sharon |
collection | PubMed |
description | INTRODUCTION: Systems thinking has emerged in recent years as a promising approach to understanding and acting on the prevention and amelioration of non-communicable disease. However, the evidence on inequities in non-communicable diseases and their risks factors, particularly diet, has not been examined from a systems perspective. We report on an approach to developing a system oriented policy actor perspective on the multiple causes of inequities in healthy eating. METHODS: Collaborative conceptual modelling workshops were held in 2015 with an expert group of representatives from government, non-government health organisations and academia in Australia. The expert group built a systems model using a system dynamics theoretical perspective. The model developed from individual mind maps to pair blended maps, before being finalised as a causal loop diagram. RESULTS: The work of the expert stakeholders generated a comprehensive causal loop diagram of the determinants of inequity in healthy eating (the HE(2) Diagram). This complex dynamic system has seven sub-systems: (1) food supply and environment; (2) transport; (3) housing and the built environment; (4) employment; (5) social protection; (6) health literacy; and (7) food preferences. DISCUSSION: The HE(2) causal loop diagram illustrates the complexity of determinants of inequities in healthy eating. This approach, both the process of construction and the final visualisation, can provide the basis for planning the prevention and amelioration of inequities in healthy eating that engages with multiple levels of causes and existing policies and programs. |
format | Online Article Text |
id | pubmed-5708780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57087802017-12-15 Using systems science to understand the determinants of inequities in healthy eating Friel, Sharon Pescud, Melanie Malbon, Eleanor Lee, Amanda Carter, Robert Greenfield, Joanne Cobcroft, Megan Potter, Jane Rychetnik, Lucie Meertens, Beth PLoS One Research Article INTRODUCTION: Systems thinking has emerged in recent years as a promising approach to understanding and acting on the prevention and amelioration of non-communicable disease. However, the evidence on inequities in non-communicable diseases and their risks factors, particularly diet, has not been examined from a systems perspective. We report on an approach to developing a system oriented policy actor perspective on the multiple causes of inequities in healthy eating. METHODS: Collaborative conceptual modelling workshops were held in 2015 with an expert group of representatives from government, non-government health organisations and academia in Australia. The expert group built a systems model using a system dynamics theoretical perspective. The model developed from individual mind maps to pair blended maps, before being finalised as a causal loop diagram. RESULTS: The work of the expert stakeholders generated a comprehensive causal loop diagram of the determinants of inequity in healthy eating (the HE(2) Diagram). This complex dynamic system has seven sub-systems: (1) food supply and environment; (2) transport; (3) housing and the built environment; (4) employment; (5) social protection; (6) health literacy; and (7) food preferences. DISCUSSION: The HE(2) causal loop diagram illustrates the complexity of determinants of inequities in healthy eating. This approach, both the process of construction and the final visualisation, can provide the basis for planning the prevention and amelioration of inequities in healthy eating that engages with multiple levels of causes and existing policies and programs. Public Library of Science 2017-11-30 /pmc/articles/PMC5708780/ /pubmed/29190662 http://dx.doi.org/10.1371/journal.pone.0188872 Text en © 2017 Friel et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Friel, Sharon Pescud, Melanie Malbon, Eleanor Lee, Amanda Carter, Robert Greenfield, Joanne Cobcroft, Megan Potter, Jane Rychetnik, Lucie Meertens, Beth Using systems science to understand the determinants of inequities in healthy eating |
title | Using systems science to understand the determinants of inequities in healthy eating |
title_full | Using systems science to understand the determinants of inequities in healthy eating |
title_fullStr | Using systems science to understand the determinants of inequities in healthy eating |
title_full_unstemmed | Using systems science to understand the determinants of inequities in healthy eating |
title_short | Using systems science to understand the determinants of inequities in healthy eating |
title_sort | using systems science to understand the determinants of inequities in healthy eating |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708780/ https://www.ncbi.nlm.nih.gov/pubmed/29190662 http://dx.doi.org/10.1371/journal.pone.0188872 |
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