横断面研究
2019年冠状病毒病(COVID-19)
医学
探索性因素分析
星团(航天器)
心理健康
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
冠状病毒
2019-20冠状病毒爆发
疾病
临床心理学
精神科
心理测量学
内科学
病理
传染病(医学专业)
爆发
计算机科学
程序设计语言
作者
Janet L. Larson,Weijiao Zhou,Philip Veliz,Sheree Smith
标识
DOI:10.1177/10547738231191655
摘要
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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