Symptom clusters in adults with post-COVID-19 : a cross-sectional survey

Janet L. Larson; Weijiao Zhou; Philip T. Veliz; Sheere Smith

doi:10.1177/10547738231191655

Symptom clusters in adults with post-COVID-19 : a cross-sectional survey

Janet L. Larson, Weijiao Zhou, Philip T. Veliz, Sheere Smith

Western Sydney University

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1071-1080
Number of pages	10
Journal	Clinical Nursing Research
Volume	32
Issue number	8
DOIs	https://doi.org/10.1177/10547738231191655
Publication status	Published - Nov 2023

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© The Author(s) 2023.

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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.",

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AB - 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.

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Symptom clusters in adults with post-COVID-19 : a cross-sectional survey

Abstract

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