Evidence map›Paper›PMID 36962372›Full record

ArticlePLOS global public health2022

Exploring ways to respond to rising obesity and diabetes in the Caribbean using a system dynamics model.

Leonor Guariguata, Leandro Garcia, Natasha Sobers, Trevor S Ferguson, James Woodcock, T Alafia Samuels, Cornelia Guell, Nigel Unwin

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 18% of its field
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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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 at 6 institutions in 3 countries.

Leonor GuariguataGeorge Alleyne Chronic Disease Research Centre, University of the West Indies, Cave Hill, Barbados.ORCID https://orcid.org/0000-0003-1682-7160
Leandro GarciaCentre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, United Kingdom.ORCID https://orcid.org/0000-0001-5947-2617
Natasha SobersGeorge Alleyne Chronic Disease Research Centre, University of the West Indies, Cave Hill, Barbados.ORCID https://orcid.org/0000-0002-9444-0706
Trevor S FergusonEpidemiology Research Unit, Caribbean Institute for Health Research, University of the West Indies, Mona, Jamaica.ORCID https://orcid.org/0000-0002-2393-1452
James WoodcockMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-4769-5375
T Alafia SamuelsCaribbean Institute for Health Research, University of the West Indies, Mona, Jamaica.ORCID https://orcid.org/0000-0001-6047-189X
Cornelia GuellEuropean Centre for Environment and Human Health, University of Exeter Medical School, Cornwall, United Kingdom.ORCID https://orcid.org/0000-0003-0105-410X
Nigel UnwinGeorge Alleyne Chronic Disease Research Centre, University of the West Indies, Cave Hill, Barbados.ORCID https://orcid.org/0000-0002-1368-1648
University of Exeter · GBUniversity of the West Indies · BBQueen's University Belfast · GBUniversity of Cambridge · GBUniversity of the West Indies · JMUniversity of the West Indies System · JM

Funding

Medical Research Council MR/N005384/1Wellcome Trust
6 · The paper itself

Abstract

Diabetes and obesity present a high and increasing burden of disease in the Caribbean that have failed to respond to prevention policies and interventions. These conditions are the result of a complex system of drivers and determinants that can make it difficult to predict the impact of interventions. In partnership with stakeholders, we developed a system dynamics simulation model to map the system driving diabetes and obesity prevalence in the Caribbean using Jamaica as a test case. The study aims to use the model to assess the magnitude changes necessary in physical activity and dietary intake to achieve global targets set by the WHO Global Action plan and to test scenarios for interventions to reduce the burden of diabetes and obesity. Continuing current trends in diet, physical activity, and demographics, the model predicts diabetes in Jamaican adults (20+ years) to rise from 12% in 2018 to 15.4% in 2030 and 20.9% by 2050. For obesity, it predicts prevalence to rise from 28.6% in 2018 to 32.1% by 2030 and 39.2% by 2050. The magnitude change necessary to achieve the global targets set by the World Health Organization is so great as to be unachievable. However, a combination of measures both upstream (including reducing the consumption of sugar sweetened beverages and ultra processed foods, increasing fruit and vegetable intake, and increasing moderate-to-vigorous activity) at the population level, and downstream (targeting people at high risk and with diabetes) can significantly reduce the future burden of diabetes and obesity in the region. No single intervention reduces the prevalence of these conditions as much as a combination of interventions. Thus, the findings of this model strongly support adopting a sustained and coordinated approach across various sectors to synergistically maximise the benefits of interventions.

Identifiers

PMID36962372
PMCPMC10021196
OpenAlexW4280580028

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read165
identifiers read8
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.