Evidence map›Paper›PMID 32723715›Full record

ArticleJMIR public health and surveillance2020

Text Mining of United States Obesity-Related Public Policies: Systematic Document Search.

Caroline Spanhol-Finocchio, Mariana de Freitas Dewes, Giana de Vargas Mores, Homero Dewes

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Caroline Spanhol-Finocchio *Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.ORCID 0000-0002-0979-4594
Mariana de Freitas Dewes *Federal University of Health Sciences of Porto Alegre , Porto Alegre, Rio Grande do Sul, Brazil.ORCID 0000-0002-6576-1287
Giana de Vargas Mores *IMED Business School, Passo Fundo, Rio Grande do Sul, Brazil.ORCID 0000-0003-3733-2220
Homero Dewes *Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.ORCID 0000-0003-4043-6434

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity has become a worldwide health problem, caused by multiple and complex factors. To face this challenge, governments have played a central role in combating its rise. Considering this, public policies are introduced or enacted for the benefit of whole populations, taking into account the perspective of multiverse social stakeholders based on solid scientific fundamentals.

objectiveThe aim of this study was to examine obesity-related public policies in the United States and the District of Columbia, in order to understand their scientific basis.

methodsWe analyzed the public policies implemented in the United States from 2003 to 2013, during which time the largest number of obesity-related public policies were introduced, using text mining.

resultsIn total, 1592 obesity-related public policies were retrieved from the Centers for Disease Control and Prevention. Multidisciplinary policies were predominant in the documents analyzed (533/1592, 33.5%), followed by health sciences (454/1592, 28.5%), social sciences (330/1592, 20.7%), life sciences (240/1592, 15.1%), and physical sciences (35/1592, 2.2%). Throughout the country, most policies were community oriented (1082/1865, 58.0%) and many of them were related to school and family environments (447/1865, 24.0%), early care and education (75/1865, 4.0%), hospitals (63/1865, 3.4%), and workplaces (47/1865, 2.5%).

conclusionsThe contents of obesity-related public policies were generally uniformly framed across the United States. They were generally based on scientific references, in which there was a predominance of multidisciplinary research. These findings are consistent with what is known about the multiple factors causing obesity and about the methods being developed to control the epidemic.

Indexed as

ObesityData MiningHealth PromotionHumansLegislation as TopicPublic PolicyUnited Statesdata mininggovernmenthealth policyschool

Identifiers

PMID32723715
PMCPMC7424466

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.