Evidence map›Paper›PMID 40668582›Full record

ArticleJAMA network open2025

Self-Reported Resilience During the COVID-19 Pandemic.

Oluwabunmi Ogungbe, Tianyou Wang, Pallavi P Balte, Sarah E Slone, Diane Meyer, Norrina Bai Allen, Russell G Buhr, Jana A Hirsch, Karen Hinckley Stukovsky, Anna Kucharska-Newton and 22 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Resilience at the Intersection of Race/Ethnicity, Sex, and Sexual Orientation among U.S. Adults.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
    Article
  2. Acculturation, resilience, and healthcare trust in migrant populations: an equity perspective.Archives of public health = Archives belges de sante publique · 2026
    Article
  3. 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

32 authors.

Oluwabunmi OgungbeJohns Hopkins School of Nursing, Baltimore, Maryland.
Tianyou WangDivision of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, New York.
Pallavi P BalteDivision of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, New York.
Sarah E SloneJohns Hopkins School of Nursing, Baltimore, Maryland.
Diane MeyerJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Norrina Bai AllenCenter for Epidemiology and Population Health, Northwestern Feinberg School of Medicine, Chicago, Illinois.
Russell G BuhrDavid Geffen School of Medicine, University of California, Los Angeles.
Jana A HirschDornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania.
Karen Hinckley StukovskyDepartment of Biostatistics, School of Public Health, University of Washington, Seattle.
Anna Kucharska-NewtonDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill.
Kelley Pettee GabrielDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham.
Elizabeth A ReganDivision of Rheumatology, Department of Medicine, National Jewish Health, Denver, Colorado.
Vanessa XanthakisSection of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.
Carmen R IsasiDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York.
Gregory TalaveraGraduate School of Public Health, San Diego State University, San Diego, California.
Martha DaviglusInstitute for Minority Health Research, University of Illinois College of Medicine, Chicago.
Krista M PerreiraDepartment of Social Medicine University of North Carolina School of Medicine, Chapel Hill.
Mario SimsDepartment of Social Medicine, Population and Public Health, School of Medicine, University of California, Riverside.
Jose Gutierrez ContrerasDivision of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, New York.
Namratha R KandulaCenter for Epidemiology and Population Health, Northwestern Feinberg School of Medicine, Chicago, Illinois.
Joyce S LeeDivision of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora.
Virginia J HowardDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham.
Suzanne E JuddDepartment of Health Behavior, School of Public Health, University of Alabama at Birmingham, Birmingham.
Prescott WoodruffDivision of Pulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of California, San Francisco.
Victor E OrtegaDivision of Pulmonary Medicine, Department of Medicine, Mayo Clinic, Phoenix, Arizona.
Amanda M FrettsDepartment of Biostatistics, School of Public Health, University of Washington, Seattle.
Sally E WenzelDeptartment of Environmental and Occupational Health, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Wanda PhipatanakulClinical Research Center, Boston Children's Hospital, Boston, Massachusetts.
Nirupama PutchaDivision of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland.
Nadia HanselDivision of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland.
Elizabeth OelsnerDivision of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, New York.
Wendy S PostJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

Funding

ACTIV Integration of Host-targeting Therapies for COVID-19 Administrative Coordinating CenterOT2HL156812 · NHLBI · RESEARCH TRIANGLE INSTITUTE · PI NOLEN, TRACY L, THOMAS, SONIA M · 2020 to 2024
$1270.7M
Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MILES Frome WILKINSON · 2003 to 2026
$40.4M
Subclinical Vascular Contributions to Alzheimer's Disease: The Multi-Ethnic Study of Atherosclerosis (MESA) Multisite Study of AD (Renewal)R01AG058969 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Timothy M. Hughes, YONGMEI LIU · 2018 to 2026
$33.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
SPIROMICS II: Biological underpinnings of COPD heterogeneity and progressionU01HL137880 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WOODRUFF, PRESCOTT G · 2017 to 2021
$27.9M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Intramural NIH HHS Z01 ES101947NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCRR NIH HHS UL1 RR024131NHGRI NIH HHS U54 HG003067NHLBI NIH HHS K23 HL130627NHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS OT2 HL156812NHLBI NIH HHS P01 HL092870NHLBI NIH HHS R01 HL064278NHLBI NIH HHS R01 HL077612NHLBI NIH HHS R01 HL093009NHLBI NIH HHS R01 HL093081NHLBI NIH HHS R01 HL095393NHLBI NIH HHS R01 HL097163NHLBI NIH HHS R01 HL098433NHLBI NIH HHS R01 HL101250NHLBI NIH HHS R01 HL109282NHLBI NIH HHS R01 HL109284NHLBI NIH HHS R01 HL109301NHLBI NIH HHS R01 HL109315NHLBI NIH HHS R01 HL109319NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL127028NHLBI NIH HHS R01 HL127659NHLBI NIH HHS R01 HL130506NHLBI NIH HHS R01 HL135009NHLBI NIH HHS R21 HL120770NHLBI NIH HHS R21 HL121457NHLBI NIH HHS R21 HL129924NHLBI NIH HHS R21 HL153700NHLBI NIH HHS R21 HL165405NHLBI NIH HHS RC2 HL101715NHLBI NIH HHS U01 HL041642NHLBI NIH HHS U01 HL041652NHLBI NIH HHS U01 HL041654NHLBI NIH HHS U01 HL065520NHLBI NIH HHS U01 HL065521NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897NHLBI NIH HHS U01 HL096812NHLBI NIH HHS U01 HL096814NHLBI NIH HHS U01 HL096899NHLBI NIH HHS U01 HL096902NHLBI NIH HHS U01 HL096917NHLBI NIH HHS U01 HL120393NHLBI NIH HHS U01 HL137880NHLBI NIH HHS U10 HL109086NHLBI NIH HHS U10 HL109146NHLBI NIH HHS U10 HL109152NHLBI NIH HHS U10 HL109164NHLBI NIH HHS U10 HL109168NHLBI NIH HHS U10 HL109172NHLBI NIH HHS U10 HL109250NHLBI NIH HHS U10 HL109257NHLBI NIH HHS U24 HL141762NHLBI NIH HHS UG3 HL151865NHLBI NIH HHS UH2 HL123442NHLBI NIH HHS ZO1 HL134585NIA NIH HHS R01 AG058969NIA NIH HHS R01 AG066162NIDDK NIH HHS P30 DK063491NIEHS NIH HHS P30 ES027792NINDS NIH HHS R01 NS029993NINDS NIH HHS R01 NS048134NINDS NIH HHS R01 NS102715NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

Importance: Identifying factors associated with resilience during the COVID-19 pandemic can inform targeted interventions and resource allocation for groups disproportionately affected by systemic inequities. Objective: To examine factors associated with self-reported resilience during the COVID-19 pandemic in racially and ethnically diverse, community-dwelling US adults. Design, Setting, and Participants: This cross-sectional study was conducted as part of the Collaborative Cohort of Cohorts for COVID-19 Research (C4R) study, which assessed the associations of the pandemic with self-reported resilience of participants from 14 established US prospective cohorts since January 2021. This report includes participants who responded to the self-reported resilience question on C4R questionnaires. Data was initially analyzed from October 2023 to May 2024, with updated analyses performed from August 2024 to April 2025. Exposure: Race and ethnicity, behavior factors, health conditions, and social determinants of health measurements accessed before and during the COVID-19 pandemic through cohort visits and C4R questionnaires. Main Outcomes and Measures: Self-reported resilience was collected via 1 question (from the Brief Resilience Scale) in C4R questionnaires, "I tend to bounce back quickly after hard times." Participants who answered agree or strongly agree were classified as resilient, and those who reported neutral, disagree, or strongly disagree were classified as not resilient. Modified Poisson regression was performed to estimate prevalence ratios (PRs) and access multivariable-adjusted associations with resilience. Results: Of 31 045 participants (18 672 [60%] women; 10 746 [34.6%] aged <65 years), 1185 (3.8%) identified as American Indian, 6728 (21.7%) as Black, 293 (0.9%) as East Asian, 6311 (20.3%) as Hispanic, 565 (1.8%) as South Asian, and 15 961 (51.3%) as White; a total of 23 103 participants (74.4%) self-identified as resilient. Compared with White participants, Black and Hispanic participants had higher prevalence of self-reported resilience (adjusted PR [aPR], 1.04; 95% CI, 1.02-1.06; aPR, 1.08; 95% CI, 1.06-1.11; respectively) and American Indian and East Asian participants had lower prevalence (aPR, 0.90; 95% CI, 0.86-0.94; aPR, 0.76; 95% CI, 0.68-0.84; respectively). Higher education, being married or living as married, higher income, and overweight were also associated with higher prevalence of resilience. Being female, having diabetes, and being unemployed were associated with lower prevalence of self-reported resilience. Compared with participants with public insurance only, participants with private insurance had higher prevalence of resilience (aPR, 1.07; 95% CI, 1.03-1.10). COVID-19 vaccination and infection statuses were not significantly associated with resilience. Modification analyses showed important racial and ethnic differences in how factors such as hypertension, marital status, and insurance status were associated with resilience. Conclusions and Relevance: In this cross-sectional study of 31 045 adults, self-reported resilience varied by race, ethnicity, and sociodemographic factors. These findings highlight the complex interplay of individual and social factors in shaping the perception of resilience.

Indexed as

COVID-19Resilience, PsychologicalAdultAgedCross-Sectional StudiesEthnicityFemaleHumansMaleMiddle AgedPandemicsProspective StudiesRacial GroupsSelf ReportSurveys and QuestionnairesUnited States

Identifiers

PMID40668582
PMCPMC12268485

What OpenQuestion holds

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Registered trials

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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.