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Systems Science and Obesity Policy

A Novel Framework for Analyzing and Rethinking Population-Level Planning

Bibliographic Data

ID11031607
AuthorsLee M Johnston (0000-0002-9003-193X, Lee M. Johnston is with the Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada. Carrie L. Matteson and Diane T. Finegood are with the Chronic Disease Systems Modeling Laboratory, Department of Biomedical Physiology and Kinesiology, Simon Fraser University.), Carrie L Matteson (Lee M. Johnston is with the Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada. Carrie L. Matteson and Diane T. Finegood are with the Chronic Disease Systems Modeling Laboratory, Department of Biomedical Physiology and Kinesiology, Simon Fraser University.), Carrie Matteson (Simon Fraser University), Diane T Finegood (0000-0002-0568-0522, Lee M. Johnston is with the Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada. Carrie L. Matteson and Diane T. Finegood are with the Chronic Disease Systems Modeling Laboratory, Department of Biomedical Physiology and Kinesiology, Simon Fraser University.)
Year2014
Volume104
Issue7
Pages1270-1278
Publication date2014-07-01
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2014.301884
PMID24832406
PMCIDPMC4056198
OpenAlexW2169825945
LanguageEN
Citations received39
References cited24

Objectives. We demonstrate the use of a systems-based framework to assess solutions to complex health problems such as obesity. Methods. We coded 12 documents published between 2004 and 2013 aimed at influencing obesity planning for complex systems design (9 reports from US and Canadian governmental or health authorities, 1 Cochrane review, and 2 Institute of Medicine reports). We sorted data using the intervention-level framework (ILF), a novel solutions-oriented approach to complex problems. An in-depth comparison of 3 documents provides further insight into complexity and systems design in obesity policy. Results. The majority of strategies focused mainly on changing the determinants of energy imbalance (food intake and physical activity). ILF analysis brings to the surface actions aimed at higher levels of system function and points to a need for more innovative policy design. Conclusions. Although many policymakers acknowledge obesity as a complex problem, many strategies stem from the paradigm of individual choice and are limited in scope. The ILF provides a template to encourage natural systems thinking and more strategic policy design grounded in complexity science

Environmental health · Obesity · Political science · Population · Global Public Health Policies and Epidemiology · Health Policy Implementation Science · Medicine · Obesity, Physical Activity, Diet · Gerontology

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Citations per year3.55
Citation span2015 - 2026 (12)
Highly citedNo

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