Evidence map›Paper›PMID 42004215›Full record

ArticleTranslational issues in psychological science2026

Psychological Agency Attenuates the Link Between Discrimination and COVID-19 Burnout in Latine-Serving Community Health Workers.

Daniela Arcos, Olivia Jensen, Christina Rowley, Elayne Zhou, Graciela Espejo, Dariela Espinoza Lopez, Veronica Naranjo, Lyric N Russo, Kelly Kazmierski, Jessica L Borelli

Abstract read
In one paragraph

Article in Translational issues in psychological science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

10 authors.

Daniela ArcosDepartment of Psychology, University of California Irvine, Irvine, CA.
Olivia JensenDepartment of Psychology, University of California Irvine, Irvine, CA.
Christina RowleyDepartment of Psychology, University of California Irvine, Irvine, CA.
Elayne ZhouDepartment of Psychology, University of Southern California, Los Angeles, CA.
Graciela EspejoDepartment of Psychology, University of California Irvine, Irvine, CA.
Dariela Espinoza LopezDepartment of Psychology, University of California Irvine, Irvine, CA.
Veronica NaranjoDepartment of Psychology, University of California Irvine, Irvine, CA.
Lyric N RussoDepartment of Psychology, University of California Irvine, Irvine, CA.
Kelly KazmierskiDepartment of Psychology, University of California Irvine, Irvine, CA.
Jessica L BorelliDepartment of Psychology, University of California Irvine, Irvine, CA.

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Institute for Clinical and Translational ScienceUL1TR000153 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M · 2012 to 2015
$12.1M
NCATS NIH HHS UL1 TR000153NCATS NIH HHS UL1 TR001414NCIPC CDC HHS R01 CE002907
6 · The paper itself

Abstract

Community health workers that serve low income Latine families (Latine-serving CHWs) play a crucial role in reducing health disparities, yet frequently encounter discrimination, which may elevate their risk for burnout. Burnout not only harms these CHWs' wellbeing but also deprives communities of the full benefit of CHWs' service. Identifying factors that buffer against these effects, such as psychological agency, can offer valuable insights for supporting CHWs. This study examines (1) the association between discrimination and burnout among Latine-serving CHWs and (2) the role of agency as a potential buffer in the link between discrimination and burnout. Data were collected in a context of pronounced stress for CHWs: the aftermath of the acute phase of the COVID-19 pandemic. Participants (

Indexed as

burnoutcommunity health workerCOVID-19discriminationLatinePsychological agency

Identifiers

PMID42004215
PMCPMC13089964

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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.