Prevalence and Predictors of Prolonged Cognitive and Psychological Symptoms Following COVID-19 in the United States
Background/ObjectivesLittle is known regarding the prevalence and predictors of prolonged cognitive and psychological symptoms of COVID-19 among community-dwellers. We aimed to quantitatively measure self-reported metrics of fatigue, cognitive dysfunction, anxiety, depression, and sleep and identify...
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Frontiers Media S.A.
2021-07-01
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Series: | Frontiers in Aging Neuroscience |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2021.690383/full |
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doaj-644f13aa975d449082dfa2f2102ce4cb |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jennifer A. Frontera Ariane Lewis Kara Melmed Jessica Lin Daniel Kondziella Daniel Kondziella Raimund Helbok Shadi Yaghi Sharon Meropol Thomas Wisniewski Laura Balcer Steven L. Galetta |
spellingShingle |
Jennifer A. Frontera Ariane Lewis Kara Melmed Jessica Lin Daniel Kondziella Daniel Kondziella Raimund Helbok Shadi Yaghi Sharon Meropol Thomas Wisniewski Laura Balcer Steven L. Galetta Prevalence and Predictors of Prolonged Cognitive and Psychological Symptoms Following COVID-19 in the United States Frontiers in Aging Neuroscience COVID-19 long-hauler cognitive stressors Community Dwellers post-acute sequelae of SARS-CoV-2 infection |
author_facet |
Jennifer A. Frontera Ariane Lewis Kara Melmed Jessica Lin Daniel Kondziella Daniel Kondziella Raimund Helbok Shadi Yaghi Sharon Meropol Thomas Wisniewski Laura Balcer Steven L. Galetta |
author_sort |
Jennifer A. Frontera |
title |
Prevalence and Predictors of Prolonged Cognitive and Psychological Symptoms Following COVID-19 in the United States |
title_short |
Prevalence and Predictors of Prolonged Cognitive and Psychological Symptoms Following COVID-19 in the United States |
title_full |
Prevalence and Predictors of Prolonged Cognitive and Psychological Symptoms Following COVID-19 in the United States |
title_fullStr |
Prevalence and Predictors of Prolonged Cognitive and Psychological Symptoms Following COVID-19 in the United States |
title_full_unstemmed |
Prevalence and Predictors of Prolonged Cognitive and Psychological Symptoms Following COVID-19 in the United States |
title_sort |
prevalence and predictors of prolonged cognitive and psychological symptoms following covid-19 in the united states |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Aging Neuroscience |
issn |
1663-4365 |
publishDate |
2021-07-01 |
description |
Background/ObjectivesLittle is known regarding the prevalence and predictors of prolonged cognitive and psychological symptoms of COVID-19 among community-dwellers. We aimed to quantitatively measure self-reported metrics of fatigue, cognitive dysfunction, anxiety, depression, and sleep and identify factors associated with these metrics among United States residents with or without COVID-19.MethodsWe solicited 1000 adult United States residents for an online survey conducted February 3–5, 2021 utilizing a commercial crowdsourcing community research platform. The platform curates eligible participants to approximate United States demographics by age, sex, and race proportions. COVID-19 was diagnosed by laboratory testing and/or by exposure to a known positive contact with subsequent typical symptoms. Prolonged COVID-19 was self-reported and coded for those with symptoms ≥ 1 month following initial diagnosis. The primary outcomes were NIH PROMIS/Neuro-QoL short-form T-scores for fatigue, cognitive dysfunction, anxiety, depression, and sleep compared among those with prolonged COVID-19 symptoms, COVID-19 without prolonged symptoms and COVID-19 negative subjects. Multivariable backwards step-wise logistic regression models were constructed to predict abnormal Neuro-QoL metrics.ResultsAmong 999 respondents, the average age was 45 years (range 18–84), 49% were male, 76 (7.6%) had a history of COVID-19 and 19/76 (25%) COVID-19 positive participants reported prolonged symptoms lasting a median of 4 months (range 1–13). Prolonged COVID-19 participants were more often younger, female, Hispanic, and had a history of depression/mood/thought disorder (all P < 0.05). They experienced significantly higher rates of unemployment and financial insecurity, and their symptoms created greater interference with work and household activities compared to other COVID-19 status groups (all P < 0.05). After adjusting for demographics, past medical history and stressor covariates in multivariable logistic regression analysis, COVID-19 status was independently predictive of worse Neuro-QoL cognitive dysfunction scores (adjusted OR 11.52, 95% CI 1.01–2.28, P = 0.047), but there were no significant differences in quantitative measures of anxiety, depression, fatigue, or sleep.ConclusionProlonged symptoms occurred in 25% of COVID-19 positive participants, and NeuroQoL cognitive dysfunction scores were significantly worse among COVID-19 positive subjects, even after accounting for demographic and stressor covariates. Fatigue, anxiety, depression, and sleep scores did not differ between COVID-19 positive and negative respondents. |
topic |
COVID-19 long-hauler cognitive stressors Community Dwellers post-acute sequelae of SARS-CoV-2 infection |
url |
https://www.frontiersin.org/articles/10.3389/fnagi.2021.690383/full |
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doaj-644f13aa975d449082dfa2f2102ce4cb2021-07-19T09:44:55ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652021-07-011310.3389/fnagi.2021.690383690383Prevalence and Predictors of Prolonged Cognitive and Psychological Symptoms Following COVID-19 in the United StatesJennifer A. Frontera0Ariane Lewis1Kara Melmed2Jessica Lin3Daniel Kondziella4Daniel Kondziella5Raimund Helbok6Shadi Yaghi7Sharon Meropol8Thomas Wisniewski9Laura Balcer10Steven L. Galetta11Department of Neurology, New York University Grossman School of Medicine, New York, NY, United StatesDepartment of Neurology, New York University Grossman School of Medicine, New York, NY, United StatesDepartment of Neurology, New York University Grossman School of Medicine, New York, NY, United StatesDepartment of Neurology, New York University Grossman School of Medicine, New York, NY, United StatesRigshospitalet, Department of Neurology, Copenhagen University Hospital, Copenhagen, DenmarkDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, DenmarkDepartment of Neurology, University of Innsbruck, Innsbruck, AustriaDepartment of Neurology, School of Medicine, Brown University, Providence, RI, United StatesDepartment of Neurology, New York University Grossman School of Medicine, New York, NY, United StatesDepartment of Neurology, New York University Grossman School of Medicine, New York, NY, United StatesDepartment of Neurology, New York University Grossman School of Medicine, New York, NY, United StatesDepartment of Neurology, New York University Grossman School of Medicine, New York, NY, United StatesBackground/ObjectivesLittle is known regarding the prevalence and predictors of prolonged cognitive and psychological symptoms of COVID-19 among community-dwellers. We aimed to quantitatively measure self-reported metrics of fatigue, cognitive dysfunction, anxiety, depression, and sleep and identify factors associated with these metrics among United States residents with or without COVID-19.MethodsWe solicited 1000 adult United States residents for an online survey conducted February 3–5, 2021 utilizing a commercial crowdsourcing community research platform. The platform curates eligible participants to approximate United States demographics by age, sex, and race proportions. COVID-19 was diagnosed by laboratory testing and/or by exposure to a known positive contact with subsequent typical symptoms. Prolonged COVID-19 was self-reported and coded for those with symptoms ≥ 1 month following initial diagnosis. The primary outcomes were NIH PROMIS/Neuro-QoL short-form T-scores for fatigue, cognitive dysfunction, anxiety, depression, and sleep compared among those with prolonged COVID-19 symptoms, COVID-19 without prolonged symptoms and COVID-19 negative subjects. Multivariable backwards step-wise logistic regression models were constructed to predict abnormal Neuro-QoL metrics.ResultsAmong 999 respondents, the average age was 45 years (range 18–84), 49% were male, 76 (7.6%) had a history of COVID-19 and 19/76 (25%) COVID-19 positive participants reported prolonged symptoms lasting a median of 4 months (range 1–13). Prolonged COVID-19 participants were more often younger, female, Hispanic, and had a history of depression/mood/thought disorder (all P < 0.05). They experienced significantly higher rates of unemployment and financial insecurity, and their symptoms created greater interference with work and household activities compared to other COVID-19 status groups (all P < 0.05). After adjusting for demographics, past medical history and stressor covariates in multivariable logistic regression analysis, COVID-19 status was independently predictive of worse Neuro-QoL cognitive dysfunction scores (adjusted OR 11.52, 95% CI 1.01–2.28, P = 0.047), but there were no significant differences in quantitative measures of anxiety, depression, fatigue, or sleep.ConclusionProlonged symptoms occurred in 25% of COVID-19 positive participants, and NeuroQoL cognitive dysfunction scores were significantly worse among COVID-19 positive subjects, even after accounting for demographic and stressor covariates. Fatigue, anxiety, depression, and sleep scores did not differ between COVID-19 positive and negative respondents.https://www.frontiersin.org/articles/10.3389/fnagi.2021.690383/fullCOVID-19long-haulercognitivestressorsCommunity Dwellerspost-acute sequelae of SARS-CoV-2 infection |