To estimate overall and racial/ethnic-specific associations between COVID-19 infection status and sleep health. We analyzed online survey data collected from December 2020 to February 2021 among Asian, Black, Latino (English- and Spanish-speaking), and White adults (n = 1,000 each), along with American Indian/Alaska Native, Native Hawaiian/Pacific Islander, and multiracial adults (n = 500). COVID-19 infection (confirmed, probable, suspected), based on self-reported data on symptoms and infected contacts, was classified using World Health Organization definitions. Sleep disturbances were categorized as “yes” (mild/moderate/severe) vs “no” (normal). Weighted analyses were used to generate nationally representative estimates within each racial/ethnic group. Adjusting for sociodemographic and health behaviors, Poisson regression with robust variance estimated prevalence ratios and confidence intervals for sleep disturbances among individuals with vs without a COVID-19 infection in the overall population and by gender, ability to get health care, and race/ethnicity. Among 5,359 eligible participants, 24
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COVID-19,minority groups,sleep,sleep initiation and maintenance disorders,delayed diagnosis,delivery of health care