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The Epidemiology of Long Coronavirus Disease in US Adults.
Robertson, McKaylee M; Qasmieh, Saba A; Kulkarni, Sarah G; Teasdale, Chloe A; Jones, Heidi E; McNairy, Margaret; Borrell, Luisa N; Nash, Denis.
  • Robertson MM; Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, New York, USA.
  • Qasmieh SA; Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, New York, USA.
  • Kulkarni SG; Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, New York, USA.
  • Teasdale CA; Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, New York, USA.
  • Jones HE; Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, New York, USA.
  • McNairy M; Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, New York, USA.
  • Borrell LN; Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, New York, USA.
  • Nash D; Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY), New York, New York, USA.
Clin Infect Dis ; 76(9): 1636-1645, 2023 05 03.
Article in English | MEDLINE | ID: covidwho-20242032
ABSTRACT

BACKGROUND:

We estimated the prevalence of long COVID and impact on daily living among a representative sample of adults in the United States.

METHODS:

We conducted a population-representative survey, 30 June-2 July 2022, of a random sample of 3042 US adults aged 18 years or older and weighted to the 2020 US population. Using questions developed by the UK's Office of National Statistics, we estimated the prevalence of long COVID, by sociodemographics, adjusting for gender and age.

RESULTS:

An estimated 7.3% (95% confidence interval 6.1-8.5%) of all respondents reported long COVID, corresponding to approximately 18 828 696 adults. One-quarter (25.3% [18.2-32.4%]) of respondents with long COVID reported their day-to-day activities were impacted "a lot" and 28.9% had severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection more than 12 months ago. The prevalence of long COVID was higher among respondents who were female (adjusted prevalence ratio [aPR] 1.84 [1.40-2.42]), had comorbidities (aPR 1.55 [1.19-2.00]), or were not (vs were) boosted (aPR 1.67 [1.19-2.34]) or not vaccinated (vs boosted) (aPR 1.41 [1.05-1.91]).

CONCLUSIONS:

We observed a high burden of long COVID, substantial variability in prevalence of SARS-CoV-2, and risk factors unique from SARS-CoV-2 risk, suggesting areas for future research. Population-based surveys are an important surveillance tool and supplement to ongoing efforts to monitor long COVID.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid / Vaccines Limits: Adult / Female / Humans / Male Country/Region as subject: North America Language: English Journal: Clin Infect Dis Journal subject: Communicable Diseases Year: 2023 Document Type: Article Affiliation country: Cid

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid / Vaccines Limits: Adult / Female / Humans / Male Country/Region as subject: North America Language: English Journal: Clin Infect Dis Journal subject: Communicable Diseases Year: 2023 Document Type: Article Affiliation country: Cid