Evidence map›Paper›PMID 34343109›Full record

ArticleEndocrine connections2021

Diabetes control is associated with environmental quality in the USA.

Jyotsna S Jagai, Alison K Krajewski, Kyla N Price, Danelle T Lobdell, Robert M Sargis

Abstract read
In one paragraph

Article in Endocrine connections, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Stress and human health in diabetes: A report from the 19Journal of clinical and translational science · 2023
    Article
  4. 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

5 authors.

Jyotsna S JagaiDivision of Environmental and Occupational Health Sciences School of Public Health, University of Illinois at Chicago, Chicago, Illinois, USA.ORCID 0000-0002-4692-2583
Alison K KrajewskiOak Ridge Institute for Science and Education, U.S. Environmental Protection Agency, Center for Public Health and Environmental Assessment, Public Health and Environmental Systems Division, Chapel Hill, North Carolina, USA.
Kyla N PriceDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
Danelle T LobdellU.S. Environmental Protection Agency, Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina, USA.
Robert M SargisDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.ORCID 0000-0001-7061-2983

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Selenoproteins in Arsenic-Induced Metabolic DysfunctionR01ES028879 · NIEHS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SARGIS, ROBERT M · 2018 to 2022
$2.7M
Protection against Arsenic-Induced Neurologic Defects by Brain DHA EnrichmentR21ES030884 · NIEHS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SARGIS, ROBERT M · 2019 to 2020
$440k
NIEHS NIH HHS P30 ES027792NIEHS NIH HHS R01 ES028879
6 · The paper itself

Abstract

Environmental parameters, including built and sociodemographic environments, can impact diabetes control (DC). Epidemiological studies have associated specific environmental factors with DC; however, the impact of multidimensional environmental status has not been assessed. The Environmental Quality Index (EQI), a comprehensive quantitative metric capturing five environmental domains, was considered as an exposure. Age-adjusted rates of DC prevalence for each county in the United States were used as an outcome. DC was defined as the proportion of adults aged 20+ years with a previous diabetes diagnosis who currently do not have high fasting blood glucose (≥126 mg/dL) or elevated HbA1c (≥6.5). We conducted county-level analyses of DC prevalence rates for the years 2004-2012 in association with EQI for 2006-2010 and domain-specific indices using random intercept multilevel linear regression models clustered by state and controlled for county-level rates of obesity and physical inactivity. Analyses were stratified by rural-urban strata, and results are reported as prevalence rate differences (PRD) with 95% CIs comparing highest quintile/worst environmental quality to lowest quintile/best environmental quality. The association of DC with cumulative environmental quality was negative after control for all counties (PRD -0.32, 95% CI: -0.38, -0.27); suggesting that rates of DC worsen as environmental quality declines. While overall environmental quality exerts effects on DC that vary across the rural-urban spectrum, poor sociodemographic, and built environmental factors are associated with decreased DC nationally. These data suggest improvements in environmental quality mediated by larger-scale policy and practice interventions may improve glycemic control and reduce the morbidity and mortality arising from hyperglycemia.

Indexed as

airbuiltcumulative environmental exposuresdiabetes controllandsociodemographicwater

Identifiers

PMID34343109
PMCPMC8428089

What OpenQuestion holds

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Registered trials

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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.