Evidence map›Paper›PMID 40576870›Full record

ArticleJournal of racial and ethnic health disparities2026

Patterns of Social, Economic, And Health Challenges Due to the COVID-19 Pandemic Experienced by Latino Communities: A Latent Class Analysis.

Gabriel Ramirez, Yinzhou Ou, Ronald Saxton, Alejandra F Miller, Melissa M Cuesta, Ana O Meza, Suzanne Grieb, Kathleen R Page, Cui Yang

Abstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

9 authors.

Gabriel RamirezDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Yinzhou OuDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Ronald SaxtonDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Alejandra F MillerDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Melissa M CuestaDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Ana O MezaDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Suzanne GriebDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kathleen R PageDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Cui YangDepartment of Health Behavior, Society and Policy, Rutgers School of Public Health, Piscataway, NJ, USA. cui.yang@rutgers.edu.ORCID http://orcid.org/0000-0003-0144-2575

Funding

Juntos (Together): A community led approach to enhance to Covid-19 testing among vulnerable LatinosR01DA045556 · NIDA · JOHNS HOPKINS UNIVERSITY · PI LUCAS, GREGORY M, PAGE, KATHLEEN R · 2017 to 2022
$6.8M
REDES: a peer network and mobile health (mHealth) enhanced CHW model to maximize COVID-19 vaccination among low income LatinosR01MD017364 · NIMHD · JOHNS HOPKINS UNIVERSITY · PI PAGE, KATHLEEN R, YANG, CUI · 2022 to 2025
$2.9M
Sin Duda: a community-driven approach to expand reach, access and uptake of COVID-19 home-based tests for at risk LatinosU01MD017412 · NIMHD · JOHNS HOPKINS UNIVERSITY · PI PAGE, KATHLEEN R, YANG, CUI · 2022 to 2023
$2.4M
Mentoring in Community-engaged Research to Promote Outcomes for LatinosK24NR020508 · NINR · JOHNS HOPKINS UNIVERSITY · PI Kathleen R Page · 2022 to 2026
$942k
National institute of Health U01MD017412NIDA NIH HHS R01 DA045556NIMHD NIH HHS R01 MD017364NIMHD NIH HHS U01 MD017412NINR NIH HHS K24 NR020508
6 · The paper itself

Abstract

objectiveLatino communities are diverse and necessitate in-depth knowledge of the heterogeneity of Latinos beyond a singular race or ethnicity. Each subgroup may have been impacted by the COVID-19 pandemic differently. This study examined the patterns of challenges that Latinos faced due to the COVID-19 pandemic, identified subgroups with diverse needs, and explored the association between these subgroups and health outcomes.

methodsA total of 720 participants enrolled between August 2022 and August 2023 as part of the Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) initiative in Maryland. Latent class analysis (LCA) was employed to identify subgroups of participants based on self-reported indicators of challenges related to the COVID-19 pandemic, including access to health care, housing, food security, access to clean water, medication, and transportation. Health outcomes included self-report health, anxiety, and depression screening. Logistic regressions were conducted to examine the relationships between class membership, sociodemographic characteristics, and various health outcomes.

resultsA four-class latent class model was identified: Class 1 (31.67%) reported no challenge across all indicators; Class 2 (32.62%) reported minor challenges in accessing health care and medicine and food security; Class 3 (35.72%) reported minor challenge in all indicators, and Class 4 (22.28%) reported major challenges across all indicators. Not having health insurance, fewer years of living in the US, and not being proficient in English were associated with belonging to a group that faced increased challenges due to the COVID-19 pandemic. Class memberships were associated with health outcomes, including depression and anxiety.

conclusionsThis study found that pandemic-associated challenges were highly heterogeneous among Latinos, which were variably associated with health outcomes, including depression and anxiety. Findings from the current research can inform post-pandemic resource allocation and future pandemic preparedness to address longstanding structural inequities. Continued investments are needed to address long-lasting social and economic hardship and public health issues, such as mental health, among the most vulnerable communities.

Indexed as

COVID-19Hispanic or LatinoAdultDepressionFemaleHealth Services AccessibilityHumansLatent Class AnalysisMarylandMiddle AgedSocioeconomic Disparities in HealthCOVID-19Health inequityLatent class analysisLatinoMental health

Identifiers

PMID40576870
PMCPMC13153997

What OpenQuestion holds

Textmetadata
LicenceTDM
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.