ArticleInternational journal of health geographics2011
Diabetes and the socioeconomic and built environment: geovisualization of disease prevalence and potential contextual associations using ring maps.
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.
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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.
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.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.
- Environmental Risk Factors for Developing Type 2 Diabetes Mellitus: A Systematic Review.International journal of environmental research and public health · 2018Pooled it
- Risk models and scores for type 2 diabetes: systematic review.BMJ (Clinical research ed.) · 2011Pooled it
- Behavioral health coaching for rural-living older adults with diabetes and depression: an open pilot of the HOPE Study.BMC geriatrics · 2012Trial
- Geospatial Analysis of the Social Determinants of Health of Participants of a Diabetes Management Program to Evaluate Enrollment of Vulnerable Populations.Preventing chronic disease · 2024Article
- 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 · 2022Article
- Integrating Culture and History to Promote Health and Help Prevent Type 2 Diabetes in American Indian/Alaska Native Communities: Traditional Foods Have Become a Way to Talk About Health.Preventing chronic disease · 2020Article
- Diagnosed Diabetes Prevalence and Risk Factor Rankings, by State, 2014-2016: A Ring Map Visualization.Preventing chronic disease · 2019Article
- Identifying Geographic Disparities in Diabetes Prevalence Among Adults and Children Using Emergency Claims Data.Journal of the Endocrine Society · 2018Article
- Diabetes prevalence is associated with different community factors in the diabetes belt versus the rest of the United States.Obesity (Silver Spring, Md.) · 2017Article
- Matching the Genotype in Resolution: Innovative Ways of Phenotype Capture.Seminars in nephrology · 2015Review
- Built environment and elderly population health: a comprehensive literature review.Clinical practice and epidemiology in mental health : CP & EMH · 2014Article
- Scientific statement: Socioecological determinants of prediabetes and type 2 diabetes.Diabetes care · 2013Review
- The impact of built environment on diabetic patients: the case of Eastern Province, KIngdom of Saudi Arabia.Global journal of health science · 2012Article
- An Introduction to Macro- Level Spatial Nonstationarity: a Geographically Weighted Regression Analysis of Diabetes and Poverty.Human geographies · 2012Article
- Feasibility study of geospatial mapping of chronic disease risk to inform public health commissioning.BMJ open · 2012Article
- Spatial visualization of multivariate datasets: an analysis of STD and HIV/AIDS diagnosis rates and socioeconomic context using ring maps.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.