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Understanding a successful obesity prevention initiative in children under 5 from a systems perspective

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  • Brynle Owen
  • Andrew D Brown
  • Jill Kuhlberg
  • Lynne Millar
  • Melanie Nichols
  • Christina Economos
  • Steven Allender

Abstract

Introduction/Background: Systems thinking represents an innovative and logical approach to understanding complexity in community-based obesity prevention interventions. We report on an approach to apply systems thinking to understand the complexity of a successful obesity prevention intervention in early childhood (children aged up to 5 years) conducted in a regional city in Victoria, Australia. Methods: A causal loop diagram (CLD) was developed to represent system elements related to a successful childhood obesity prevention intervention in early childhood. Key stakeholder interviews (n = 16) were examined retrospectively to generate purposive text data, create microstructures, and form a CLD. Results: A CLD representing key stakeholder perceptions of a successful intervention comprised six key feedback loops explaining changes in project implementation over time. The loops described the dynamics of collaboration, network formation, community awareness, human resources, project clarity, and innovation. Conclusion: The CLD developed provides a replicable means to capture, evaluate and disseminate a description of the dynamic elements of a successful obesity prevention intervention in early childhood.

Suggested Citation

  • Brynle Owen & Andrew D Brown & Jill Kuhlberg & Lynne Millar & Melanie Nichols & Christina Economos & Steven Allender, 2018. "Understanding a successful obesity prevention initiative in children under 5 from a systems perspective," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-10, March.
    • Handle: RePEc:plo:pone00:0195141
    DOI: 10.1371/journal.pone.0195141
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    References listed on IDEAS

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    1. Sterman, J.D., 2006. "Learning from evidence in a complex world," American Journal of Public Health, American Public Health Association, vol. 96(3), pages 505-514.
    2. Homer, J.B. & Hirsch, G.B., 2006. "System dynamics modeling for public health: Background and opportunities," American Journal of Public Health, American Public Health Association, vol. 96(3), pages 452-458.
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    Cited by:

    1. Brydie Clarke & Janelle Kwon & Boyd Swinburn & Gary Sacks, 2021. "Understanding the dynamics of obesity prevention policy decision-making using a systems perspective: A case study of Healthy Together Victoria," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-23, January.
    2. Boelsen-Robinson, Tara & Blake, Miranda R. & Brown, Andrew D. & Huse, Oliver & Palermo, Claire & George, Neetu A. & Peeters, Anna, 2021. "Mapping factors associated with a successful shift towards healthier food retail in community-based organisations: A systems approach," Food Policy, Elsevier, vol. 101(C).

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