Prevalence and Determinants of Fatigue after COVID-19 in Non-Hospitalized Subjects: A Population-Based Study

This study assessed the prevalence and determinants of fatigue in a population-based cohort of non-hospitalized subjects 1.5–6 months after COVID-19. It was a mixed postal/web survey of all non-hospitalized patients ≥18 years with a positive PCR for SARS-CoV-2 until 1 June 2020 in a geographically d...

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Published inInternational journal of environmental research and public health Vol. 18; no. 4; p. 2030
Main Authors Stavem, Knut, Ghanima, Waleed, Olsen, Magnus K., Gilboe, Hanne M., Einvik, Gunnar
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 19.02.2021
MDPI
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Online AccessGet full text
ISSN1660-4601
1661-7827
1660-4601
DOI10.3390/ijerph18042030

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Abstract This study assessed the prevalence and determinants of fatigue in a population-based cohort of non-hospitalized subjects 1.5–6 months after COVID-19. It was a mixed postal/web survey of all non-hospitalized patients ≥18 years with a positive PCR for SARS-CoV-2 until 1 June 2020 in a geographically defined area. In total, 938 subjects received a questionnaire including the Chalder fatigue scale (CFQ-11) and the energy/fatigue scale of the RAND-36 questionnaire. We estimated z scores for comparison with general population norms. Determinants were analyzed using multivariable logistic and linear regression analysis. In total, 458 subjects (49%) responded to the survey at median 117.5 days after COVID-19 onset, and 46% reported fatigue. The mean z scores of the CFQ-11 total was 0.70 (95% CI 0.58 to 0.82), CFQ-11 physical 0.66 (0.55 to 0.78), CFQ-11 mental 0.47 (0.35 to 0.59) and RAND-36 energy/fatigue −0.20 (−0.31 to −0.1); all CFQ-11 scores differed from those of the norm population (p < 0.001). Female sex, single/divorced/widowed, short time since symptom debut, high symptom load, and confusion during acute COVID-19 were associated with higher multivariable odds of fatigue. In conclusion, the burden of post-viral fatigue following COVID-19 was high, and higher than in a general norm population. Symptoms of fatigue were most prevalent among women, those having a high symptom load, or confusion during the acute phase.
AbstractList This study assessed the prevalence and determinants of fatigue in a population-based cohort of non-hospitalized subjects 1.5–6 months after COVID-19. It was a mixed postal/web survey of all non-hospitalized patients ≥18 years with a positive PCR for SARS-CoV-2 until 1 June 2020 in a geographically defined area. In total, 938 subjects received a questionnaire including the Chalder fatigue scale (CFQ-11) and the energy/fatigue scale of the RAND-36 questionnaire. We estimated z scores for comparison with general population norms. Determinants were analyzed using multivariable logistic and linear regression analysis. In total, 458 subjects (49%) responded to the survey at median 117.5 days after COVID-19 onset, and 46% reported fatigue. The mean z scores of the CFQ-11 total was 0.70 (95% CI 0.58 to 0.82), CFQ-11 physical 0.66 (0.55 to 0.78), CFQ-11 mental 0.47 (0.35 to 0.59) and RAND-36 energy/fatigue −0.20 (−0.31 to −0.1); all CFQ-11 scores differed from those of the norm population (p < 0.001). Female sex, single/divorced/widowed, short time since symptom debut, high symptom load, and confusion during acute COVID-19 were associated with higher multivariable odds of fatigue. In conclusion, the burden of post-viral fatigue following COVID-19 was high, and higher than in a general norm population. Symptoms of fatigue were most prevalent among women, those having a high symptom load, or confusion during the acute phase.
This study assessed the prevalence and determinants of fatigue in a population-based cohort of non-hospitalized subjects 1.5-6 months after COVID-19. It was a mixed postal/web survey of all non-hospitalized patients ≥18 years with a positive PCR for SARS-CoV-2 until 1 June 2020 in a geographically defined area. In total, 938 subjects received a questionnaire including the Chalder fatigue scale (CFQ-11) and the energy/fatigue scale of the RAND-36 questionnaire. We estimated z scores for comparison with general population norms. Determinants were analyzed using multivariable logistic and linear regression analysis. In total, 458 subjects (49%) responded to the survey at median 117.5 days after COVID-19 onset, and 46% reported fatigue. The mean z scores of the CFQ-11 total was 0.70 (95% CI 0.58 to 0.82), CFQ-11 physical 0.66 (0.55 to 0.78), CFQ-11 mental 0.47 (0.35 to 0.59) and RAND-36 energy/fatigue -0.20 (-0.31 to -0.1); all CFQ-11 scores differed from those of the norm population (p < 0.001). Female sex, single/divorced/widowed, short time since symptom debut, high symptom load, and confusion during acute COVID-19 were associated with higher multivariable odds of fatigue. In conclusion, the burden of post-viral fatigue following COVID-19 was high, and higher than in a general norm population. Symptoms of fatigue were most prevalent among women, those having a high symptom load, or confusion during the acute phase.This study assessed the prevalence and determinants of fatigue in a population-based cohort of non-hospitalized subjects 1.5-6 months after COVID-19. It was a mixed postal/web survey of all non-hospitalized patients ≥18 years with a positive PCR for SARS-CoV-2 until 1 June 2020 in a geographically defined area. In total, 938 subjects received a questionnaire including the Chalder fatigue scale (CFQ-11) and the energy/fatigue scale of the RAND-36 questionnaire. We estimated z scores for comparison with general population norms. Determinants were analyzed using multivariable logistic and linear regression analysis. In total, 458 subjects (49%) responded to the survey at median 117.5 days after COVID-19 onset, and 46% reported fatigue. The mean z scores of the CFQ-11 total was 0.70 (95% CI 0.58 to 0.82), CFQ-11 physical 0.66 (0.55 to 0.78), CFQ-11 mental 0.47 (0.35 to 0.59) and RAND-36 energy/fatigue -0.20 (-0.31 to -0.1); all CFQ-11 scores differed from those of the norm population (p < 0.001). Female sex, single/divorced/widowed, short time since symptom debut, high symptom load, and confusion during acute COVID-19 were associated with higher multivariable odds of fatigue. In conclusion, the burden of post-viral fatigue following COVID-19 was high, and higher than in a general norm population. Symptoms of fatigue were most prevalent among women, those having a high symptom load, or confusion during the acute phase.
This study assessed the prevalence and determinants of fatigue in a population-based cohort of non-hospitalized subjects 1.5-6 months after COVID-19. It was a mixed postal/web survey of all non-hospitalized patients ≥18 years with a positive PCR for SARS-CoV-2 until 1 June 2020 in a geographically defined area. In total, 938 subjects received a questionnaire including the Chalder fatigue scale (CFQ-11) and the energy/fatigue scale of the RAND-36 questionnaire. We estimated z scores for comparison with general population norms. Determinants were analyzed using multivariable logistic and linear regression analysis. In total, 458 subjects (49%) responded to the survey at median 117.5 days after COVID-19 onset, and 46% reported fatigue. The mean z scores of the CFQ-11 total was 0.70 (95% CI 0.58 to 0.82), CFQ-11 physical 0.66 (0.55 to 0.78), CFQ-11 mental 0.47 (0.35 to 0.59) and RAND-36 energy/fatigue -0.20 (-0.31 to -0.1); all CFQ-11 scores differed from those of the norm population ( < 0.001). Female sex, single/divorced/widowed, short time since symptom debut, high symptom load, and confusion during acute COVID-19 were associated with higher multivariable odds of fatigue. In conclusion, the burden of post-viral fatigue following COVID-19 was high, and higher than in a general norm population. Symptoms of fatigue were most prevalent among women, those having a high symptom load, or confusion during the acute phase.
This study assessed the prevalence and determinants of fatigue in a population-based cohort of non-hospitalized subjects 1.5–6 months after COVID-19. It was a mixed postal/web survey of all non-hospitalized patients ≥18 years with a positive PCR for SARS-CoV-2 until 1 June 2020 in a geographically defined area. In total, 938 subjects received a questionnaire including the Chalder fatigue scale (CFQ-11) and the energy/fatigue scale of the RAND-36 questionnaire. We estimated z scores for comparison with general population norms. Determinants were analyzed using multivariable logistic and linear regression analysis. In total, 458 subjects (49%) responded to the survey at median 117.5 days after COVID-19 onset, and 46% reported fatigue. The mean z scores of the CFQ-11 total was 0.70 (95% CI 0.58 to 0.82), CFQ-11 physical 0.66 (0.55 to 0.78), CFQ-11 mental 0.47 (0.35 to 0.59) and RAND-36 energy/fatigue −0.20 (−0.31 to −0.1); all CFQ-11 scores differed from those of the norm population ( p < 0.001). Female sex, single/divorced/widowed, short time since symptom debut, high symptom load, and confusion during acute COVID-19 were associated with higher multivariable odds of fatigue. In conclusion, the burden of post-viral fatigue following COVID-19 was high, and higher than in a general norm population. Symptoms of fatigue were most prevalent among women, those having a high symptom load, or confusion during the acute phase.
Author Olsen, Magnus K.
Gilboe, Hanne M.
Einvik, Gunnar
Ghanima, Waleed
Stavem, Knut
AuthorAffiliation 3 Department of Pulmonary Medicine, Division of Medicine, Akershus University Hospital, 1478 Lørenskog, Norway
4 Department of Medicine, Østfold Hospital Trust, 1714 Grålum, Norway
1 Institute of Clinical Medicine, University of Oslo, 0450 Oslo, Norway; waleed.ghanima@so-hf.no (W.G.); gunnar.einvik@medisin.uio.no (G.E.)
2 Health Services Research Unit, Akershus University Hospital, 1478 Lørenskog, Norway
5 Department of Research, Østfold Hospital Trust, 1714 Grålum, Norway; magnus.kringstad.olsen@so-hf.no
6 Fürst Medical Laboratory, 1051 Oslo, Norway; hmgilboe@furst.no
AuthorAffiliation_xml – name: 6 Fürst Medical Laboratory, 1051 Oslo, Norway; hmgilboe@furst.no
– name: 3 Department of Pulmonary Medicine, Division of Medicine, Akershus University Hospital, 1478 Lørenskog, Norway
– name: 5 Department of Research, Østfold Hospital Trust, 1714 Grålum, Norway; magnus.kringstad.olsen@so-hf.no
– name: 1 Institute of Clinical Medicine, University of Oslo, 0450 Oslo, Norway; waleed.ghanima@so-hf.no (W.G.); gunnar.einvik@medisin.uio.no (G.E.)
– name: 2 Health Services Research Unit, Akershus University Hospital, 1478 Lørenskog, Norway
– name: 4 Department of Medicine, Østfold Hospital Trust, 1714 Grålum, Norway
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  surname: Olsen
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  givenname: Hanne M.
  surname: Gilboe
  fullname: Gilboe, Hanne M.
– sequence: 5
  givenname: Gunnar
  surname: Einvik
  fullname: Einvik, Gunnar
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33669714$$D View this record in MEDLINE/PubMed
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2021 by the authors. 2021
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Issue 4
Keywords COVID-19
prevalence
post-infectious fatigue
fatigue
CFQ-11
Language English
License https://creativecommons.org/licenses/by/4.0
Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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Snippet This study assessed the prevalence and determinants of fatigue in a population-based cohort of non-hospitalized subjects 1.5–6 months after COVID-19. It was a...
This study assessed the prevalence and determinants of fatigue in a population-based cohort of non-hospitalized subjects 1.5-6 months after COVID-19. It was a...
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SubjectTerms Adolescent
Adult
Aged
Aged, 80 and over
Comorbidity
Coronaviruses
COVID-19
COVID-19 - complications
Dyspnea
Fatigue
Fatigue - epidemiology
Female
Hospitalization
Hospitals
Humans
Laboratories
Male
Middle Aged
Population
Population-based studies
Prevalence
Questionnaires
Regression analysis
Respiratory diseases
Severe acute respiratory syndrome coronavirus 2
Surveys and Questionnaires
Survivors
Variables
Womens health
Young Adult
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Title Prevalence and Determinants of Fatigue after COVID-19 in Non-Hospitalized Subjects: A Population-Based Study
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