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- Kavya M Shah, Rishi M Shah, Mitsuaki Sawano, Yixuan Wu, Pamela Bishop, Akiko Iwasaki, and Harlan M Krumholz.
- Department of Clinical Neurosciences, University of Cambridge, United Kingdom.
- Am. J. Med. 2024 Sep 1; 137 (9): 896899896-899.
BackgroundWhile factors associated with long COVID (LC) continue to be illuminated, little is known about recovery. This study used national survey data to assess factors associated with recovery from LC.MethodsWe used data from the 2022 National Health Interview Survey, a cross-sectional sample of noninstitutionalized US adults. Survey analysis was used to account for oversampling and nonresponse bias and to obtain nationally representative estimates. A multivariable logistic regression model was used to identify potential predictors of LC recovery.ResultsAmong those reporting ever having COVID-19, 17.7% or an estimated 17.5 million American adults reported ever having LC, and among those with LC, 48.5% or an estimated 8.5 million reported having recovered. Multivariable logistic regression analysis showed that Hispanic adults were significantly more likely than White adults to report recovery from LC. At the same time, those with severe COVID-19 symptoms and those who had more than a high school degree, were aged 40 years or older, or were female were less likely to report recovery.ConclusionSignificant variations in LC recovery were noted across age, sex, race and ethnicity, education, and severity of COVID-19 symptoms. Further work is needed to elucidate the causes of these differences and identify strategies to increase recovery rates.Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.
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