Self-Reported Resilience During the COVID-19 Pandemic

被引:0
作者
Ogungbe, Oluwabunmi [1 ,2 ]
Wang, Tianyou [3 ]
Balte, Pallavi P. [3 ]
Slone, Sarah E. [1 ]
Meyer, Diane [2 ]
Allen, Norrina Bai [4 ]
Buhr, Russell G. [5 ,6 ,7 ]
Hirsch, Jana A. [8 ]
Hinckley Stukovsky, Karen [9 ]
Kucharska-Newton, Anna [10 ]
Gabriel, Kelley Pettee [11 ]
Regan, Elizabeth A. [12 ]
Xanthakis, Vanessa [13 ,14 ]
Isasi, Carmen R. [15 ]
Talavera, Gregory [16 ]
Daviglus, Martha [17 ]
Perreira, Krista M. [18 ]
Sims, Mario [19 ]
Contreras, Jose Gutierrez [3 ]
Kandula, Namratha R. [4 ,20 ]
Lee, Joyce S. [21 ]
Howard, Virginia J. [11 ]
Judd, Suzanne E. [22 ]
Woodruff, Prescott [23 ]
Ortega, Victor E. [24 ]
Fretts, Amanda M. [9 ]
Wenzel, Sally E. [25 ]
Phipatanakul, Wanda [26 ,27 ]
Putcha, Nirupama [28 ]
Hansel, Nadia [28 ]
Oelsner, Elizabeth [3 ]
Post, Wendy S. [2 ,28 ]
机构
[1] Johns Hopkins Sch Nursing, Baltimore, MD USA
[2] Johns Hopkins Bloomberg Sch Publ Hlth, Baltimore, MD USA
[3] Columbia Univ, Irving Med Ctr, Dept Med, Div Gen Med, New York, NY USA
[4] Northwestern Feinberg Sch Med, Ctr Epidemiol & Populat Hlth, Chicago, IL USA
[5] Univ Calif Los Angeles, David Geffen Sch Med, Los Angeles, CA USA
[6] Univ Calif Los Angeles, Fielding Sch Publ Hlth, Los Angeles, CA USA
[7] Greater Los Angeles Vet Affairs Healthcare Syst, Ctr Study Healthcare Innovat Implementat & Policy, Los Angeles, CA USA
[8] Drexel Univ, Dornsife Sch Publ Hlth, Philadelphia, PA USA
[9] Univ Washington, Sch Publ Hlth, Dept Biostat, Seattle, WA USA
[10] Univ North Carolina Chapel Hill, Dept Epidemiol, Chapel Hill, NC USA
[11] Univ Alabama Birmingham, Sch Publ Hlth, Dept Epidemiol, Birmingham, AL USA
[12] Natl Jewish Hlth, Div Rheumatol, Dept Med, Denver, CO USA
[13] Boston Univ, Sch Med, Dept Med, Sect Prevent Med & Epidemiol, Boston, MA USA
[14] Boston Univ, Sch Publ Hlth, Dept Biostat, Boston, MA USA
[15] Albert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Bronx, NY USA
[16] San Diego State Univ, Grad Sch Publ Hlth, San Diego, CA USA
[17] Univ Illinois, Coll Med, Inst Minor Hlth Res, Chicago, IL USA
[18] Univ North Carolina, Sch Med, Dept Social Med, Chapel Hill, NC USA
[19] Univ Calif Riverside, Sch Med, Dept Social Med Populat & Publ Hlth, Riverside, CA USA
[20] Northwestern Feinberg Sch Med, Dept Med, Chicago, IL USA
[21] Univ Colorado, Div Pulm Sci & Crit Care Med, Dept Med, Anschutz Med Campus, Aurora, CO USA
[22] Univ Alabama Birmingham, Sch Publ Hlth, Dept Hlth Behav, Birmingham, AL USA
[23] Univ Calif San Francisco, Dept Med, Div Pulm Crit Care Allergy & Sleep Med, San Francisco, CA USA
[24] Mayo Clin, Dept Med, Div Pulm Med, Phoenix, AZ USA
[25] Univ Pittsburgh, Sch Publ Hlth, Dept Environm & Occupat Hlth, Pittsburgh, PA USA
[26] Boston Childrens Hosp, Clin Res Ctr, Boston, MA USA
[27] Harvard Med Sch, Boston, MA USA
[28] Johns Hopkins Sch Med, Dept Med, Div Cardiol, Baltimore, MD USA
关键词
CARDIOVASCULAR-DISEASE; ATHEROSCLEROSIS RISK; AMERICAN-INDIANS; DESIGN; HEALTH; COMMUNITY; OBJECTIVES; DISPARITIES; STROKE; SCALE;
D O I
10.1001/jamanetworkopen.2025.20360
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
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