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The Differential Experience of COVID-19 on Asian American Subgroups: The Los Angeles Pandemic Surveillance Cohort Study.
Lam, Chun Nok; Tam, Benjamin; Kawaguchi, Eric S; Unger, Jennifer B; Hur, Kevin.
Affiliation
  • Lam CN; Department 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.
  • Tam B; Department of Population and Public Health Sciences, Keck School of Medicine of USC, 1845 N Soto Street, Los Angeles, CA, 90032, USA. chunnok.lam@med.usc.edu.
  • Kawaguchi ES; Caruso Department of Otolaryngology - Head and Neck Surgery, Keck School of Medicine of USC, Los Angeles, USA.
  • Unger JB; Department of Population and Public Health Sciences, Keck School of Medicine of USC, 1845 N Soto Street, Los Angeles, CA, 90032, USA.
  • Hur K; Department of Population and Public Health Sciences, Keck School of Medicine of USC, 1845 N Soto Street, Los Angeles, CA, 90032, USA.
Article in En | MEDLINE | ID: mdl-37819411
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Observational_studies / Risk_factors_studies / Screening_studies Aspects: Patient_preference Language: En Journal: J Racial Ethn Health Disparities Year: 2023 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Observational_studies / Risk_factors_studies / Screening_studies Aspects: Patient_preference Language: En Journal: J Racial Ethn Health Disparities Year: 2023 Document type: Article Affiliation country: United States