Evidence map›Paper›PMID 36178630›Full record

ArticleJournal of racial and ethnic health disparities2023

Racial/Ethnic Differences in Non-Discretionary Risk Factors for COVID-19 Among Patients in an Early COVID-19 Hotspot.

Erika H Newton, Rolando G Valenzuela, Priscilla M Cruz-Menoyo, Kimberly Feliberti, Timothy D Shub, Cadence Z M Trapini, Santiago Espinosa de Los Reyes, Christina M Melian, Leslie D Peralta, Héctor E Alcalá

Open access · bronzeAbstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

10 authors at 4 institutions in 1 country.

Erika H NewtonDepartment of Emergency Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, HSC L4-050, New York, NY, 11794-8350, USA. Erika.Newton@stonybrookmedicine.edu.
Rolando G ValenzuelaDepartment of Emergency Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, HSC L4-050, New York, NY, 11794-8350, USA.
Priscilla M Cruz-MenoyoDepartment of Emergency Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, HSC L4-050, New York, NY, 11794-8350, USA.
Kimberly FelibertiDepartment of Emergency Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, HSC L4-050, New York, NY, 11794-8350, USA.
Timothy D ShubDepartment of Emergency Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, HSC L4-050, New York, NY, 11794-8350, USA.
Cadence Z M TrapiniRenaissance School of Medicine at Stony, Brook University, Stony Brook, New York, NY, USA.
Santiago Espinosa de Los ReyesRenaissance School of Medicine at Stony, Brook University, Stony Brook, New York, NY, USA.
Christina M MelianRenaissance School of Medicine at Stony, Brook University, Stony Brook, New York, NY, USA.
Leslie D PeraltaRenaissance School of Medicine at Stony, Brook University, Stony Brook, New York, NY, USA.
Héctor E AlcaláDepartment of Family, Population and Preventive Medicine, Program in Public Health, Stony Brook University, Stony Brook, New York, NY, USA.
Stony Brook University · USStony Brook School · USAdventHealth Celebration · USUniversity of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBaseline disparities in non-discretionary risk factors, i.e., those not readily altered, like family size and work environment, appear to underlie the disproportionate COVID-19 infection rates seen among Hispanic persons and, at surge onsets, Black persons. No study has systematically compared such risk factors by race/ethnicity among infected individuals.

methodsUsing a cross-sectional survey, we compared household, job, and socioeconomic characteristics among 260 Hispanic, non-Hispanic Black, and non-Hispanic White adults with confirmed or probable COVID-19 in New York from March to May 2020. We used logistic regression to identify independent relationships.

resultsIn bivariate analysis, we found significant differences by race/ethnicity in the following: (1) rates of household crowding (p < 0.001), which were highest for Hispanic patients (45.1%) and lowest for White patients (0.9%); (2) rates of non-healthcare frontline work (p < 0.001), which were highest for Hispanic patients (71.0% of those employed) and lowest for White patients (31.4%); (3) rates of working close to people (p < 0.001), which were highest for Black patients (69.4%) and lowest for Hispanic patients (32.3%); and (4) rates of frontline healthcare work (p = 0.004), which were higher for Black (44.9%) and White (44.3%) patients than Hispanic patients (19.4%). Adjusting for covariates eliminated most differences but not that for household crowding.

conclusionsNon-discretionary COVID-19 risk factors among patients in the initial surge differed substantially by race/ethnicity. Socioeconomic factors explained most differences, but household crowding was independently associated with Hispanic ethnicity. Our findings highlight the ongoing need for universal safeguards for US frontline workers, including mandated paid sick leave and expanded affordable housing options.

Indexed as

COVID-19CrowdingAdultCross-Sectional StudiesFamily CharacteristicsHumansRisk FactorsCOVID-19DisparitiesEthnicityRaceSocial determinants

Identifiers

PMID36178630
PMCPMC9524304
OpenAlexW4298086409

What OpenQuestion holds

Textmetadata
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.