Using systems science to understand the determinants of inequities in healthy eating
dc.contributor.author | Friel, S. | |
dc.contributor.author | Pescud, M. | |
dc.contributor.author | Malbon, E. | |
dc.contributor.author | Lee, Andy | |
dc.contributor.author | Carter, R. | |
dc.contributor.author | Greenfield, J. | |
dc.contributor.author | Cobcroft, M. | |
dc.contributor.author | Potter, J. | |
dc.contributor.author | Rychetnik, L. | |
dc.contributor.author | Meertens, B. | |
dc.date.accessioned | 2018-08-08T04:42:25Z | |
dc.date.available | 2018-08-08T04:42:25Z | |
dc.date.created | 2018-08-08T03:50:37Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Friel, S. and Pescud, M. and Malbon, E. and Lee, A. and Carter, R. and Greenfield, J. and Cobcroft, M. et al. 2017. Using systems science to understand the determinants of inequities in healthy eating. PLoS ONE. 12 (11): Article ID e0188872. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/69828 | |
dc.identifier.doi | 10.1371/journal.pone.0188872 | |
dc.description.abstract |
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 HE2Diagram). 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 HE2causal 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. | |
dc.publisher | Public Library of Science | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.title | Using systems science to understand the determinants of inequities in healthy eating | |
dc.type | Journal Article | |
dcterms.source.volume | 12 | |
dcterms.source.number | 11 | |
dcterms.source.issn | 1932-6203 | |
dcterms.source.title | PLoS ONE | |
curtin.department | School of Public Health | |
curtin.accessStatus | Open access |