Comprehensive application of a systems approach to obesity prevention: a scoping review of empirical evidence

Bai Li*, Mohammed Alharbi*, Steve Allender, Boyd Swinburn, Remco P J Peters, Charlie E M Foster

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

3 Citations (Scopus)

Abstract

A systems approach to obesity prevention is increasingly urged. However, confusion exists on what a systems approach entails in practice, and the empirical evidence on this new approach is unclear. This scoping review aimed to identify and synthesise studies/programmes that have comprehensively applied systems approach to obesity prevention in intervention development, delivery/implementation, and evaluation. By searching international databases and grey literature, only three studies (ten publications) met inclusion criteria, which might be explained partially by suboptimal reporting. No conclusion on the effectiveness of this approach can be drawn yet due to the limited evidence base. We identified common features shared by the included studies, such as measuring ongoing changes, in addition to endpoint outcomes, and supporting capacity building. Some facilitators and barriers to applying a comprehensive systems approach in practice were identified. More well-designed and reported studies are needed, especially from low- and middle-income countries.
Original languageEnglish
Article number1015492
Number of pages11
JournalFrontiers in Public Health
Volume11
DOIs
Publication statusPublished - 8 Aug 2023

Bibliographical note

Funding Information:
This paper was an output from the SYSTAM CHINA SEACS project funded by the UK Medical Research Council (grant number: MR/V004174/1).

Publisher Copyright:
Copyright © 2023 Li, Alharbi, Allender, Swinburn, Peters and Foster.

Research Groups and Themes

  • SPS Exercise, Nutrition and Health Sciences

Keywords

  • systems approach
  • systems-based approach
  • systems thinking
  • systems science
  • obesity
  • public health

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