Evidence map›Paper›PMID 36692660›Full record

ArticleJournal of racial and ethnic health disparities2024

Profiles of a COVID-19 Syndemic: Anti-Asian Racism, Economic Challenges, and Mental and Physical Health.

Rebecca McGarity-Palmer, Anne Saw, Aggie J Yellow Horse, Stella S Yi, Janice Tsoh, David Takeuchi

Open access · bronzeAbstract 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. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
11.6field-weighted citation impact, top 2% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Anti-Asian Racism: Developing a Brief, Reliable, and Valid Measure.Journal of racial and ethnic health disparities · 2026
    Article
  3. Article
  4. Article
  5. Observational
  6. Racism Counterfactuals in Health Research.Journal of racial and ethnic health disparities · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

6 authors at 5 institutions in 1 country.

Rebecca McGarity-PalmerDepartment of Psychology, DePaul University, 2219 N. Kenmore Ave., Byrne Hall 560, Chicago, IL, 60614, USA.ORCID http://orcid.org/0000-0002-8229-481X
Anne SawDepartment of Psychology, DePaul University, 2219 N. Kenmore Ave., Byrne Hall 560, Chicago, IL, 60614, USA. asaw@depaul.edu.ORCID http://orcid.org/0000-0002-3214-0345
Aggie J Yellow HorseSchool of Social Transformation, Arizona State University, Tempe, AZ, USA.ORCID http://orcid.org/0000-0001-8253-7968
Stella S YiDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-9943-2609
Janice TsohDepartment of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-0989-7187
David TakeuchiSchool of Social Work, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-2315-1373
DePaul University · USArizona State University · USNew York University · USUniversity of California, San Francisco · USUniversity of Washington · US

Funding

Scaling Community-Clinical Linkage Models to Address Diabetes and Hypertension Disparities in the Southeastern U.S.U54MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI TRINH-SHEVRIN, CHAU · 2017 to 2022
$11.3M
Getting Asian Americans INFORMED to Facilitate COVID-19 Testing and VaccinationR01DA036749 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TSOH, JANICE Y · 2014 to 2022
$4.4M
CDC HHS 1NH23IP922639-01-00CDC HHS CFDA number 93.185CDC HHS CFDA number 93.421CDC HHS NU38OT2020001477NIDA NIH HHS 3R01DA036749 - 05S1NIDA NIH HHS R01 DA036749NIMHD NIH HHS U54 MD000538NIMHD NIH HHS U54MD000538
6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, Asians/Asian Americans have experienced co-occurring threats of anti-Asian racism, economic challenges, and negative mental and physical health symptoms.

objectivesWe examined the co-occurrence of COVID-19-related anti-Asian discrimination and collective racism, economic stressors, and mental and physical health challenges for Asians/Asian Americans during the COVID-19 pandemic. We also examined Asian/Asian American subgroups associated with these threats.

methodsNationally representative data from the 2021 Asian American and Native Hawaiian/Pacific Islander COVID-19 Needs Assessment Project (unweighted N = 3,508) were used to conduct a latent profile analysis to identify unique typologies of the co-occurrence of these threats. We also conducted chi-square analyses to investigate subgroup differences by latent profile.

resultsWe identified five distinct latent profiles: multi-threat impact, low impact, collective racism, health challenges, and economic/health challenges. Forty percent of Asians/Asian Americans were in the multi-threat impact profile, indicating high levels across COVID-19-related threats. Subgroup analyses revealed significant differences in profile membership. East Asians, US-born Asians/Asian Americans, and those aged 25-44 seemed to be particularly affected by the proposed syndemic; results also differed by income.

conclusionAsians/Asian Americans have experienced co-occurring and interrelated threats during COVID-19 that suggest the presence of a syndemic. Results from our study point to vulnerable Asian/Asian American subgroups and the need for targeted public health efforts to address racism, health challenges, and economic challenges in the context of COVID-19.

Indexed as

COVID-19RacismAsianHumansPandemicsSyndemicAsian AmericansCOVID-19Financial burdenHealth statusRacismSyndemic

Identifiers

PMID36692660
PMCPMC9872729
OpenAlexW4317840224

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.