Evidence map›Paper›PMID 31673982›Full record

ReviewCurrent obesity reports2019

Global Implementation of Obesity Prevention Policies: a Review of Progress, Politics, and the Path Forward.

Rodney Lyn, Erica Heath, Janhavi Dubhashi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current obesity reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

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  14. Obesogens in Foods.Biomolecules · 2022
    Review
  15. Article
  16. Article
  17. The unparalleled rise of obesity in China: a call to action.International journal of obesity (2005) · 2021
    Article
  18. Review
  19. Article
  20. Review
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

3 authors.

Rodney LynSchool of Public Health, Georgia State University, P.O. Box 3995, Atlanta, GA, 30302-3995, USA. RLyn1@gsu.edu.
Erica HeathSchool of Public Health, Georgia State University, P.O. Box 3995, Atlanta, GA, 30302-3995, USA.
Janhavi DubhashiSchool of Public Health, Georgia State University, P.O. Box 3995, Atlanta, GA, 30302-3995, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis review describes policy and regulatory strategies to prevent obesity and summarizes worldwide progress and impediments to scaling up strategies globally. RECENT

findingsWhile there is considerable variation in the breadth and depth of uptake of recommended strategies, the adoption of effective obesity prevention policies has been slow and inconsistent. There is broad consensus that strong government, corporate, and consumer actions, including regulatory measures, are needed to advance obesity prevention policies. Governments have lacked sufficient will to take necessary action, the food industry has actively worked to thwart policies to protect its commercial interests, and consumers have not exerted sufficient influence or demand to produce change. Advancing obesity prevention will require the use of effective strategies to shape and influence the information environments and political environments towards messages and actions to support public health. Greater emphasis is needed on reducing the influence of commercial interests, mobilizing civil society, and targeting vulnerable populations through equity-focused frameworks.

Indexed as

Health PolicyBuilt EnvironmentCommunications MediaFood IndustryFood LabelingHumansMarketingNutrition PolicyObesityPublic HealthPublic Health AdministrationSchoolsBuilt environmentFood systemsNutritionObesity preventionPhysical activityPolicy approaches

Identifiers

What OpenQuestion holds

Textmetadata
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.