Evidence map›Paper›PMID 30574350›Full record

ArticleObesity science & practice2018

Comparing complex perspectives on obesity drivers: action-driven communities and evidence-oriented experts.

J McGlashan, J Hayward, A Brown, B Owen, L Millar, M Johnstone, D Creighton, S Allender

Abstract read
In one paragraph

Article in Obesity science & practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. The ENCOMPASS framework: a practical guide for the evaluation of public health programmes in complex adaptive systems.The international journal of behavioral nutrition and physical activity · 2022
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

J McGlashanGlobal Obesity Centre (GLOBE), School of Health and Social Development Deakin University Geelong Victoria Australia.ORCID 0000-0003-4543-7161
J HaywardGlobal Obesity Centre (GLOBE), School of Health and Social Development Deakin University Geelong Victoria Australia.
A BrownGlobal Obesity Centre (GLOBE), School of Health and Social Development Deakin University Geelong Victoria Australia.
B OwenGlobal Obesity Centre (GLOBE), School of Health and Social Development Deakin University Geelong Victoria Australia.
L MillarAustralian Health Policy Collaboration Victoria University Melbourne Victoria Australia.
M JohnstoneInstitute for Intelligent Systems Research and Innovation Deakin University Geelong Victoria Australia.
D CreightonInstitute for Intelligent Systems Research and Innovation Deakin University Geelong Victoria Australia.
S AllenderGlobal Obesity Centre (GLOBE), School of Health and Social Development Deakin University Geelong Victoria Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Foresight obesity map represents an expert-developed systems map describing the complex drivers of obesity. Recently, community-led causal loop diagrams have been developed to support community-based obesity prevention interventions. This paper presents a quantitative comparison between the Foresight obesity systems map and a community-developed map of the drivers of obesity.

methodsVariables from a community-developed map were coded against the thematic clusters defined in the Foresight map to allow comparison of their sizes and strength of adjoining causal relationships. Central variables were identified using techniques from network analysis. These properties were compared to understand the similarities and differences between the systems as defined by the two groups.

resultsThe community map focused on environmental influences, such as built physical activity environment (18% of variables) and social psychology (38%). The Foresight map's largest cluster was physiology (23%), a minimal focus in the community map (2%). Network analysis highlighted media and available time within both maps, but variables related to school and sporting club environments were unique to the community map.

conclusionCommunity stakeholders focus on modifiable social and environmental drivers of obesity. Capturing local perspectives is critical when using systems maps to guide community-based obesity prevention.

Indexed as

Community healthcomplexitynetwork analysisobesity preventionsystems science

Identifiers

PMID30574350
PMCPMC6298210

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.