Evidence map›Paper›PMID 40963661›Full record

ArticleFrontiers in public health2025

Sliding down the socioeconomic health gradient of COVID-19 in New York City: multinomial regression analyses of disproportionate financial hardship for Black, Latino, and Asian residents and households with children.

Rose Jimenez, Sheena Dorvil, Jennifer Pierre, Christina Nieves, Lauren J Shiman, Tanzia Shaheen, Rachel Dannefer, Shale Maulana, Nika Norvila

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Rose JimenezBureau of Brooklyn Neighborhood Health, Center for Health Equity and Community Wellness, New York City Department of Health and Mental Hygiene, New York, NY, United States.
Sheena DorvilBureau of Brooklyn Neighborhood Health, Center for Health Equity and Community Wellness, New York City Department of Health and Mental Hygiene, New York, NY, United States.
Jennifer PierreBureau of Brooklyn Neighborhood Health, Center for Health Equity and Community Wellness, New York City Department of Health and Mental Hygiene, New York, NY, United States.
Christina NievesBureau of Harlem Neighborhood Health, Center for Health Equity and Community Wellness, New York City Department of Health and Mental Hygiene, New York, NY, United States.
Lauren J ShimanBureau of Bronx Neighborhood Health, Center for Health Equity and Community Wellness, New York City Department of Health and Mental Hygiene, New York, NY, United States.
Tanzia ShaheenBureau of Chronic Disease Prevention, Center for Health Equity and Community Wellness, New York City Department of Health and Mental Hygiene, New York, NY, United States.
Rachel DanneferBureau of Harlem Neighborhood Health, Center for Health Equity and Community Wellness, New York City Department of Health and Mental Hygiene, New York, NY, United States.
Shale MaulanaBureau of Brooklyn Neighborhood Health, Center for Health Equity and Community Wellness, New York City Department of Health and Mental Hygiene, New York, NY, United States.
Nika NorvilaNYC Health Panel, Center for Health Equity and Community Wellness, New York City Department of Health and Mental Hygiene, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Distinct socioeconomic gradients in COVID-19 outcomes were observed across the United States, so an evaluation of individual resident characteristics related to economic deprivation (race or ethnicity, precarious employment, children in the household) was conducted to inform neighborhood reach strategies by the NYC Department of Health and Mental Hygiene. Methods: A cross-sectional survey was fielded to participants from a probability-based sample of South Bronx, North and Central Brooklyn, and East and Central Harlem residents. Responses rates for financial difficulty experienced since the pandemic onset were organized into three categories: "never" experiencing financial difficulty, or experiencing "short-term" or "prolonged" financial difficulty. Controlling for age, gender, birthplace, educational attainment, income level, employment, and financial assistance received, two multinomial logistic regression analyses were used to examine the prevalent association between race-ethnicity or household composition and the type of financial difficulty experienced. Results: We found that Black residents, Latino residents, residents with children in their household, and people living ≥200% below the poverty threshold were most likely to experience financial difficulty. Compared to non-Latino White residents, all other racial and ethnic groups were twice as likely to experience prolonged financial difficulty. Households with children were 40% less likely to avoid financial difficulty and 52% more likely to experience prolonged financial difficulty compared to those without. Conclusions: Delays and premature discontinuation of benefits were correlated to avoidable hardship to those in need. Government policy fosters the inequitable distribution of resources in the U.S. those policies continue to predispose vulnerable groups to harm through economic deprivation and racial residential segregation.

Indexed as

AsianCOVID-19EthnicityHealth Status DisparitiesHispanic or LatinoPovertyAdultBlack or African AmericanChildCross-Sectional StudiesFamily CharacteristicsFemaleHumansMaleMiddle AgedNew York CityCOVID-19economic deprivationhealth equityhealth geographyhouseholds with childrenNew York Cityprecarious employmentsocioeconomic health gradients

Identifiers

PMID40963661
PMCPMC12436406

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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.