Evidence map›Paper›PMID 41354797›Full record

ArticleBMC public health2025

Persistent poverty, glycemic control and adverse COVID-19 outcomes: a retrospective study using real-world data.

Shiori Tanaka, Shanquela Williams, Li Zhang, Nengjun Yi, W Timothy Garvey, Andrea L Cherrington, Carrie R Howell

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shiori TanakaDepartment of Medicine, Division of Internal General Medicine and Population Science, University of Alabama at Birmingham, 701 19th Street South, Birmingham, AL, 35294, USA.
Shanquela WilliamsDepartment of Health Behavior, School of Public Health, University of Alabama at Birmingham, 1665 University Blvd, AL, Birmingham, 35233, USA.
Li ZhangBiostatistics and Bioinformatics, Fox Chase Cancer Center, 333 Cottman Ave, PA, Philadelphia, 19111, USA.
Nengjun YiDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL, 35233, USA.
W Timothy GarveyDepartment of Nutrition Sciences, School of Health Professions, University of Alabama at Birmingham, 1675 University Blvd, Birmingham, AL, 35233, USA.
Andrea L CherringtonDepartment of Medicine, Division of Internal General Medicine and Population Science, University of Alabama at Birmingham, 701 19th Street South, Birmingham, AL, 35294, USA.
Carrie R HowellDepartment of Medicine, Division of Internal General Medicine and Population Science, University of Alabama at Birmingham, 701 19th Street South, Birmingham, AL, 35294, USA. chowell@uabmc.edu.

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Eric Andrew Ross · 1985 to 2026
$138.8M
Molecular and Soc. Determinants of Obesity and Metabolic Disorders in YouthU54MD008176 · NIMHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N. · 2012 to 2016
$13.7M
Harnessing social determinant of health data to identify and engage high risk, socially vulnerable populations for diabetes preventionK01MD017270 · NIMHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI HOWELL, CARRIE R. · 2022 to 2025
$513k
American Heart Association 931540American Heart Association-American Stroke Association 931540NCI NIH HHS P30 CA006927NIH NIMHD U54MD008176NIMHD NIH HHS K01 MD017270NIMHD NIH HHS U54 MD008176
6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic has highlighted the profound impact of diabetes and neighborhood environments on health outcomes. Persistent poverty areas, characterized by long-standing economic deprivation, may contribute to increased risk for severe COVID-19 outcomes, particularly among individuals with poor glycemic control. This study investigated the associations between persistent poverty, longitudinal glycemic control by diabetes status, and adverse COVID-19 outcomes using real world data.

methodsWe conducted a retrospective analysis using electronic health record (EHR) data from a large Academic health system. The sample included 3,681 adults diagnosed with COVID-19 between March 2020 and January 2021, with available HbA1c and neighborhood level data. Residence in census-tract level persistent poverty areas was categorized as yes vs. no while diabetes status and glycemic control were categorized into five groups based on history of diagnosis and HbA1c measured up to three years prior to infection. Bayesian multivariable logistic regression models assessed independent and multiplicative associations between living in a persistent poverty census tract, glycemic control by diabetes status, and adverse COVID-19 outcomes [e.g. hospitalization, intensive care unit (ICU) admission, and death during hospitalization], controlling for demographics and other social risk factors.

resultsAmong 3,681 patients (mean age 54 years; 60% female; 47% Black), 41.4% were hospitalized, 19.2% were admitted to the ICU, and 6.2% died. Overall, 18.0% resided in persistent poverty areas, 36.2% had diabetes [16.6% undiagnosed diabetes, and 11.1% poorly controlled T2DM]. Residing in persistent poverty areas was associated with an increased risk of hospitalization (OR 1.28, 95% CI: 1.02-1.61), ICU admission (OR 1.40, 95% CI: 1.08-1.80), and mortality (OR 1.50, 95% CI: 1.01-2.22). Patients with undiagnosed diabetes had an increased risk of hospitalization (OR 3.05, 95% CI 2.41-3.86) and mortality (OR 1.96, 95% CI: 1.30-2.97).

conclusionThis study highlights that residing in a persistent poverty census tract as well as poor glycemic control independently contribute to COVID-19 outcomes. Ongoing management of glycemic control and early preventive strategies in persistent poverty areas may mitigate adverse outcomes in COVID-19 infection and subsequent sequalae like Long COVID.

Indexed as

COVID-19Diabetes MellitusGlycemic ControlPovertyPoverty AreasAdultAgedFemaleGlycated HemoglobinHospitalizationHumansMaleMiddle AgedResidence CharacteristicsRetrospective StudiesRisk FactorsGlycated HemoglobinCOVID-19DiabetesElectronic health recordGlycemic controlHbA1cPersistent poverty

Identifiers

PMID41354797
PMCPMC12798015

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LicenceCC BY-NC-ND
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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.