Evidence map›Paper›PMID 36238660›Full record

ArticleApplied geography (Sevenoaks, England)2017

Spatial spillover and the socio-ecological determinants of diabetes-related mortality across US counties.

Kedir N Turi, Diana S Grigsby-Toussaint

Abstract read
In one paragraph

Article in Applied geography (Sevenoaks, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
  4. Article
  5. Article
  6. Social Determinants of Diabetes-Related Preventable Hospitalization in Taiwan: A Spatial Analysis.International journal of environmental research and public health · 2021
    Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. 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

2 authors.

Kedir N TuriDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Diana S Grigsby-ToussaintDepartment of Kinesiology and Community Health, Division of Nutritional Sciences, University of Illinois-Urbana Champaign, Champaign, IL, USA.

Funding

Clinical and Translational Training Program in Pulmonary MedicineT32HL087738 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Lorraine B Ware · 2007 to 2026
$7.0M
NHLBI NIH HHS T32 HL087738
6 · The paper itself

Abstract

The spatial structure of diabetes-related mortality in US counties is evident from previous studies. However, it is not clear if spatial variation in diabetes-related mortality is associated with spatial variation in socioecological factors. We analyze the spatial spillover effect of changes in socioeconomic gradients (education, employment, household income), retail food environments, and access to health care, on diabetes-related mortality rates across the United States. Seven-year aggregates of multiple cause mortality data from the CDC WONDER compressed mortality database were merged with several sources of county-level data to examine mortality clusters, factors associated with the clusters, and spatial spillover effects in 3109 continuous US counties. The results suggest that high diabetes-related mortality cluster counties are located throughout the Southern Plains, Southeastern, and Appalachian regions. Lower socioeconomic status, a high density of fast food restaurants, a lack of access to grocery stores, a high proportion of Blacks, and low physical activity characterize high diabetes-related mortality rates clusters. The impacts from improvements in socioeconomic gradients and the retail food environment in neighboring counties spill over, and reduce the diabetes-related mortality rate in a particular county. This result implies that improvements in socioeconomic status and access to healthy food would significantly reduce diabetes-related mortality rates in contiguous US counties.

Indexed as

Built environmentDiabetesMortalitySocial capitalSocioeconomic gradients

Identifiers

PMID36238660
PMCPMC9555791

What OpenQuestion holds

Textmetadata
LicenceTDM
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.