What drives task performance in fluency tasks in people who had COVID-19?

Adrià Rofes , Marta Almeria , Barbara Sampedro , Roel Jonkers , Joan Deus , Jerzy Krupinski
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Abstract

Background

Some people who had COVID-19 have been shown to perform below a normative sample on fluency tasks. Unveiling the factors driving performance in this population can explain their underlying impairments. In this article we assess (1) whether people who had COVID-19 are impaired in animal or letter fluency relative to a normative sample; and (2) whether performance (total correct word count) can be explained by demographic factors, common COVID-19 symptoms, number of switches, mean cluster size, and word properties of fluency tasks.

Methods

Eighty-four Spanish-speaking people who had COVID-19 responded to an animal and a letter fluency task, 10–35 days after hospital discharge or self-quarantining. We obtained demographic, common symptom/factors, and calculated number of switches, mean cluster size and eight word properties for each correct word. A comparison of correct words with a normative sample was used to address Aim 1, and Random forests/Conditional inference trees for Aim 2. The last method is not affected by multicollinearity.

Results

People who had COVID-19 were not impaired in fluency tasks compared to normative data collected before the pandemic. Number of switches predicted total number of correct words in both fluency tasks. In addition, frequency, age of acquisition, and familiarity predicted animal fluency scores; and concreteness predicted letter fluency scores. No other measure showed as important.

Conclusion

Number of switches and word properties predicted the performance in fluency tasks of people who had COVID-19. Concreteness was not expected to predict letter fluency and may indicate a specific linguistic pattern in people who had COVID-19.
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是什么促使 COVID-19 患者在流畅性任务中表现出色?
背景一些患有 COVID-19 的人在流畅性任务中的表现低于常模样本。揭示导致这些人的表现的因素可以解释他们的潜在障碍。在本文中,我们将评估:(1)与常模样本相比,COVID-19 患者在动物或字母流利性方面是否存在障碍;(2)人口统计学因素、COVID-19 常见症状、切换次数、平均群组大小以及流利性任务的单词属性是否可以解释患者的表现(总正确单词数)。我们了解了他们的人口统计学特征、常见症状/因素,并计算了每个正确单词的转换次数、平均群组大小和八个单词属性。针对目标 1,我们使用了正确单词与常模样本的比较;针对目标 2,我们使用了随机森林/条件推理树。最后一种方法不受多重共线性的影响。结果与大流行前收集的常模数据相比,患有 COVID-19 的人在流畅性任务中没有受损。在两项流利性任务中,切换次数可预测正确单词总数。此外,频率、习得年龄和熟悉程度可预测动物流利度得分;具体程度可预测字母流利度得分。结论转换次数和单词属性可预测 COVID-19 患者在流利性任务中的表现。具体程度预计不会预测字母流利程度,这可能表明 COVID-19 患者的语言模式有其特殊性。
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