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

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 COV...

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Bibliographic Details
Published in:Clinical nursing research 2023-11, Vol.32 (8), p.10547738231191655-1080
Main Authors: Larson, Janet L., Zhou, Weijiao, Veliz, Philip T., Smith, Sheere
Format: Article
Language:English
Subjects:
Clustering
COVID-19
Cross-sectional studies
Exploratory factor analysis
Mental health
Multiple symptoms
Polls & surveys
Symptoms
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Summary: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.
ISSN:1054-7738
1552-3799
1552-3799
DOI:10.1177/10547738231191655