ArticleApplied geography (Sevenoaks, England)2017
Spatial spillover and the socio-ecological determinants of diabetes-related mortality across US counties.
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.
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.
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.
Who cites it
11 citing papers in PubMed.
- Google Places API-Based US Built Environment Retail (UBER) Index and Its Spatial Association With Diabetes Prevalence Across US Counties: Cross-Sectional Ecological Study.Journal of medical Internet research · 2026Observational
- The Burden of Diabetes Mortality by County, Race, and Ethnicity in the U.S., 2000-2019.Diabetes care · 2025Article
- Contextualization of Diabetes: A Review of Reviews from Organisation for Economic Co-operation and Development (OECD) Countries.Current diabetes reports · 2025Review
- Article
- Article
- Social Determinants of Diabetes-Related Preventable Hospitalization in Taiwan: A Spatial Analysis.International journal of environmental research and public health · 2021Article
- Spatiotemporal trends in diabetes-related mortality by school district in the state of Michigan, United States.Epidemiology and health · 2021Observational
- Using GIS and death records to inform statewide school-based diabetes prevention interventions in Michigan.Journal of public health research · 2020Article
- Using Census Data to Understand County-Level Differences in Overall Drug Mortality and Opioid-Related Mortality by Opioid Type.American journal of public health · 2019Article
- Spatio-Temporal Distribution, Spillover Effects and Influences of China's Two Levels of Public Healthcare Resources.International journal of environmental research and public health · 2019Article
- 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
2 authors.
Funding
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
Identifiers
What OpenQuestion holds
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.