Evidence map›Paper›PMID 21362176›Full record

ArticleInternational journal of health geographics2011

Diabetes and the socioeconomic and built environment: geovisualization of disease prevalence and potential contextual associations using ring maps.

John E Stewart, Sarah E Battersby, Ana Lopez-De Fede, Kevin C Remington, James W Hardin, Kathy Mayfield-Smith

Open access · goldAbstract readComparative Study
In one paragraph

Article in International journal of health geographics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Environmental Risk Factors for Developing Type 2 Diabetes Mellitus: A Systematic Review.International journal of environmental research and public health · 2018
    Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Comparing Global and Spatial Composite Measures of Neighborhood Socioeconomic Status Across US Counties.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Built environment and elderly population health: a comprehensive literature review.Clinical practice and epidemiology in mental health : CP & EMH · 2014
    Article
  12. Review
  13. Article
  14. Article
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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

6 authors at 1 institution in 1 country.

John E StewartInstitute for Families in Society, University of South Carolina, Columbia, South Carolina, USA.
Sarah E Battersby
Ana Lopez-De Fede
Kevin C Remington
James W Hardin
Kathy Mayfield-Smith
University of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEfforts to stem the diabetes epidemic in the United States and other countries must take into account a complex array of individual, social, economic, and built environmental factors. Increasingly, scientists use information visualization tools to "make sense" of large multivariate data sets. Recently, ring map visualization has been explored as a means of depicting spatially referenced, multivariate data in a single information graphic. A ring map shows multiple attribute data sets as separate rings of information surrounding a base map of a particular geographic region of interest. In this study, ring maps were used to evaluate diabetes prevalence among adult South Carolina Medicaid recipients. In particular, county-level ring maps were used to evaluate disparities in diabetes prevalence among adult African Americans and Whites and to explore potential county-level associations between diabetes prevalence among adult African Americans and five measures of the socioeconomic and built environment--persistent poverty, unemployment, rurality, number of fast food restaurants per capita, and number of convenience stores per capita. Although Medicaid pays for the health care of approximately 15 percent of all diabetics, few studies have examined diabetes in adult Medicaid recipients at the county level. The present study thus addresses a critical information gap, while illustrating the utility of ring maps in multivariate investigations of population health and environmental context.

resultsRing maps showed substantial racial disparity in diabetes prevalence among adult Medicaid recipients and suggested an association between adult African American diabetes prevalence and rurality. Rurality was significantly positively associated with diabetes prevalence among adult African American Medicaid recipients in a multivariate statistical model.

conclusionsEfforts to reduce diabetes among adult African American Medicaid recipients must extend to rural African Americans. Ring maps can be used to integrate diverse data sets, explore attribute associations, and achieve insights critical to the promotion of population health.

Indexed as

EnvironmentMaps as TopicAdolescentAdultBlack or African AmericanDiabetes MellitusFemaleHumansMaleMiddle AgedPrevalenceSouth CarolinaWhite PeopleYoung Adult

Identifiers

PMID21362176
PMCPMC3066107
OpenAlexW2095761295

What OpenQuestion 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 OpenQuestion graph.