Evidence map›Paper›PMID 41450499›Full record

ArticleFrontiers in public health2025

Socioeconomic status and risk of COVID-19 hospitalization in the

Angela Choi, Andrew Craver, Jiajun Luo, Yuqing Yang, Briseis Aschebrook-Kilfoy

Abstract read
In one paragraph

Article in Frontiers in 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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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Angela ChoiDepartment of Earth, Environmental, and Planetary Sciences, Northwestern University, Evanston, IL, United States.
Andrew CraverInstitute for Population and Precision Health, University of Chicago, Chicago, IL, United States.
Jiajun LuoInstitute for Population and Precision Health, University of Chicago, Chicago, IL, United States.
Yuqing YangInstitute for Population and Precision Health, University of Chicago, Chicago, IL, United States.
Briseis Aschebrook-KilfoyInstitute for Population and Precision Health, University of Chicago, Chicago, IL, United States.

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

Introduction: The relationship between socioeconomic status and COVID-19 related hospitalization has been widely examined, although findings differ across study settings and populations. This study used data from the NIH Methods: This cross-sectional analysis included 25,650 adults with confirmed COVID-19 between 2021 and 2023, including 662 hospitalized for COVID-19. Covariates were age, sex at birth, race/ethnicity, annual household income, education, and deprivation index score. Our analysis controlled for the following risk factors: BMI, smoking status at enrollment, COVID-19 vaccination status, and history of cancer, chronic kidney disease, chronic obstructive pulmonary disease, diabetes, and hypertension. Logistic regression was used to estimate odds ratios. Results: Increased hospitalization risk was observed among participants aged 66-95 (OR: 1.81, 95% CI: 1.27, 2.58) and aged 51-65 (OR: 1.73, 95% CI: 1.24, 2.43), as well as Non-Hispanic Black/African American participants (OR: 2.48, 95% CI: 1.99, 3.10), and Hispanic participants (OR: 1.47, 95% CI: 1.15, 1.88). Increased risk was also observed among participants living in the highest deprivation areas (OR: 2.60, 95% CI: 2.04, 3.31), those with an annual income less than $25,000 (OR: 1.67, 95% CI: 1.15, 2.44), and those with an annual income of $25,000 to $50,000 (OR: 1.45, 95% CI: 1.06, 1.99). Conclusion: Our findings indicate meaningful associations between the risk of COVID-19-associated hospitalization and socioeconomic factors including age, racial/ethnic minority status, lower income, and higher area deprivation.

Indexed as

COVID-19HospitalizationSocial ClassAdultAgedAged, 80 and overCross-Sectional StudiesEthnicityFemaleHumansIncomeMaleMiddle AgedRacial GroupsRisk FactorsSARS-CoV-2All of Us Research ProgramCOVID-19COVID-19 vaccinationdeprivation indexsocioeconomic disparitiessocioeconomic statusUnited States

Identifiers

PMID41450499
PMCPMC12728030

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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.