Evidence map›Paper›PMID 37819411›Full record

ArticleJournal of racial and ethnic health disparities2024

The Differential Experience of COVID-19 on Asian American Subgroups: The Los Angeles Pandemic Surveillance Cohort Study.

Chun Nok Lam, Benjamin Tam, Eric S Kawaguchi, Jennifer B Unger, Kevin Hur

Abstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2024. 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

5 authors.

Chun Nok LamDepartment of Emergency Medicine, Keck School of Medicine of USC, 1200 N State Street, Room 1011, Los Angeles, CA, 90033, USA. chunnok.lam@med.usc.edu.ORCID 0000-0002-8646-9664
Benjamin TamCaruso Department of Otolaryngology - Head and Neck Surgery, Keck School of Medicine of USC, Los Angeles, USA.
Eric S KawaguchiDepartment of Population and Public Health Sciences, Keck School of Medicine of USC, 1845 N Soto Street, Los Angeles, CA, 90032, USA.
Jennifer B UngerDepartment of Population and Public Health Sciences, Keck School of Medicine of USC, 1845 N Soto Street, Los Angeles, CA, 90032, USA.
Kevin HurCaruso Department of Otolaryngology - Head and Neck Surgery, Keck School of Medicine of USC, Los Angeles, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data from Asian Americans (AsA) are commonly aggregated in research studies and reporting, obscuring the significant differences across AsA subgroups. We investigated the differential experience of AsA subgroups in COVID-19 testing, vaccination, engagement in risky and protective behaviors and mental health status against this infectious disease. We surveyed a representative sample of the Los Angeles County population (N = 5500) in April 2021 as part of the Los Angeles Pandemic Surveillance Cohort Study and focused on participants who self-identified as AsA (N = 756). There were significant differences across the AsA subgroups, with Koreans, Asian Indians, and Other Asians living in areas with higher COVID-19 mortality rates, and Asian Indians demonstrating the lowest proportion of COVID-19 vaccination. Vietnamese and Koreans had a higher proportion of becoming unemployed during the pandemic. Although the AsA sample on average demonstrated better outcomes than other racial and ethnic groups, the apparent advantages were heterogenous and due to specific subgroups of AsAs rather than AsAs as a whole. The observed differences in COVID-19 measures across AsA subgroups underscore the need to disaggregate AsA data to identify and reduce existing disparities.

Indexed as

AsianCOVID-19AdultAgedCohort StudiesCOVID-19 TestingFemaleHumansLos AngelesMaleMiddle AgedPandemicsYoung AdultAsian AmericanCOVID-19DisparitiesHealth behaviorsTestingVaccination

Identifiers

PMID37819411
PMCPMC11480163

What OpenQuestion holds

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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.