IDEAS home Printed from https://ideas.repec.org/a/sae/clnure/v32y2023i8p1071-1080.html
   My bibliography  Save this article

Symptom Clusters in Adults with Post-COVID-19: A Cross-Sectional Survey

Author

Listed:
  • Janet L. Larson
  • Weijiao Zhou
  • Philip T. Veliz
  • Sheree Smith

Abstract

More than 100 symptoms have been reported for post-coronavirus disease 2019 (COVID-19) and this study aimed to organize self-reported symptoms by identifying symptom clusters. We used a cross-sectional survey with a convenience sample of 491 adults who reported experiencing prolonged symptoms of COVID. A list of 25 symptoms of post-COVID-19 was used to measure the symptoms, and exploratory factor analysis was undertaken to identify symptom clusters for people with symptoms lasting 5 to 8 weeks and 9 weeks or longer. Six symptom clusters were identified for each of the two groups, and five clusters were similar across both groups: respiratory, general viral, smell/taste, cognitive cardiac, and mental health. The >9-week group reported symptoms primarily from two factors: respiratory-muscular and mental health. Post-COVID-19 symptom clusters differ across timeframes. Symptom clusters were useful in establishing coherent patterns of multiple complex symptoms.

Suggested Citation

  • Janet L. Larson & Weijiao Zhou & Philip T. Veliz & Sheree Smith, 2023. "Symptom Clusters in Adults with Post-COVID-19: A Cross-Sectional Survey," Clinical Nursing Research, , vol. 32(8), pages 1071-1080, November.
    • Handle: RePEc:sae:clnure:v:32:y:2023:i:8:p:1071-1080
    DOI: 10.1177/10547738231191655
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/10547738231191655
    Download Restriction: no
    File URL: https://libkey.io/10.1177/10547738231191655?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Viet-Thi Tran & Raphaël Porcher & Isabelle Pane & Philippe Ravaud, 2022. "Course of post COVID-19 disease symptoms over time in the ComPaRe long COVID prospective e-cohort," Nature Communications, Nature, vol. 13(1), pages 1-6, December.
    2. Nicole H. Goldhaber & Jordan N. Kohn & William Scott Ogan & Amy Sitapati & Christopher A. Longhurst & Angela Wang & Susan Lee & Suzi Hong & Lucy E. Horton, 2022. "Deep Dive into the Long Haul: Analysis of Symptom Clusters and Risk Factors for Post-Acute Sequelae of COVID-19 to Inform Clinical Care," IJERPH, MDPI, vol. 19(24), pages 1-13, December.
    3. Peng Gao & Jue Liu & Min Liu, 2022. "Effect of COVID-19 Vaccines on Reducing the Risk of Long COVID in the Real World: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 19(19), pages 1-12, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mateusz Ciski & Krzysztof Rząsa, 2023. "Multiscale Geographically Weighted Regression in the Investigation of Local COVID-19 Anomalies Based on Population Age Structure in Poland," IJERPH, MDPI, vol. 20(10), pages 1-23, May.
    2. Denis Mongin & Nils Bürgisser & Gustavo Laurie & Guillaume Schimmel & Diem-Lan Vu & Stephane Cullati & Delphine Sophie Courvoisier, 2023. "Effect of SARS-CoV-2 prior infection and mRNA vaccination on contagiousness and susceptibility to infection," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    3. Radha Ambalavanan & R Sterling Snead & Julia Marczika & Karina Kozinsky & Edris Aman, 2023. "Advancing the Management of Long COVID by Integrating into Health Informatics Domain: Current and Future Perspectives," IJERPH, MDPI, vol. 20(19), pages 1-21, September.
    4. Lucrezia Ginevra Lulli & Antonio Baldassarre & Annarita Chiarelli & Antonella Mariniello & Diana Paolini & Maddalena Grazzini & Nicola Mucci & Giulio Arcangeli, 2023. "Physical Impact of SARS-CoV-2 Infection in a Population of Italian Healthcare Workers," IJERPH, MDPI, vol. 20(5), pages 1-14, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:clnure:v:32:y:2023:i:8:p:1071-1080. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.