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Journal of Zhejiang University SCIENCE B 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/jzus.B2300831


Association between post-COVID-19 sleep disturbance and neurocognitive function: A comparative study based on propensity score matching


Author(s):  Shixu DU, Leqin FANG, Yuanhui LI, Shuai LIU, Xue LUO, Shufei ZENG, Shuqiong ZHENG, Hangyi YANG, Yan XU, Dai LI, Bin ZHANG

Affiliation(s):  Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; more

Corresponding email(s):   zhang73bin@hotmail.com

Key Words:  Post-COVID-19, Sleep disturbance, Neurocognitive function, Digital assessment


Shixu DU, Leqin FANG, Yuanhui LI, Shuai LIU, Xue LUO, Shufei ZENG, Shuqiong ZHENG, Hangyi YANG, Yan XU, Dai LI, Bin ZHANG. Association between post-COVID-19 sleep disturbance and neurocognitive function: A comparative study based on propensity score matching[J]. Journal of Zhejiang University Science B, 1998, -1(-1): .

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%T Association between post-COVID-19 sleep disturbance and neurocognitive function: A comparative study based on propensity score matching
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%A Xue LUO
%A Shufei ZENG
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A1 - Xue LUO
A1 - Shufei ZENG
A1 - Shuqiong ZHENG
A1 - Hangyi YANG
A1 - Yan XU
A1 - Dai LI
A1 - Bin ZHANG
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DOI - 10.1631/jzus.B2300831


Abstract: 
Despite that sleep disturbance and poor neurocognitive performance are common complaints among coronavirus disease 2019 (COVID-19) survivors, few studies have focused on the effect of post-COVID-19 sleep disturbance (PCSD) on cognitive function.This study aimed to identify the impact of PCSD on neurocognitive function and explore the associated risk factors for the worsening of this condition.This cross-sectional study was conducted via the web-based assessment in mainland China. neurocognitive function was evaluated by the modified online Integrated Cognitive Assessment (ICA) and the Number Ordering Test (NOT). Propensity score matching (PSM) was utilized to match the confounding factors between individuals with and without PCSD. Univariate analyses were performed to evaluate the effect of PCSD on neurocognitive function. The risk factors associated with worsened neurocognitive performance in PCSD individuals were explored using binary logistic regression.A total of 8692 individuals with COVID-19 diagnosis were selected for this study. Nearly half (48.80%) of the COVID-19 survivors reported sleep disturbance. After matching by PSM, a total of 3977 pairs (7954 individuals in total) were obtained. Univariate analyses revealed that PCSD was related to worse ICA and NOT performance (P<0.050). Underlying disease, upper respiratory infection, loss of smell or taste, severe pneumonia, and self-reported cognitive complaints were associated with worsened neurocognitive performance among PCSD individuals (p <0.050). Furthermore, aging, ethnicity (minority), and lower education level were found to be independent risk factors for worsened neurocognitive performance in PCSD individuals (P<0.050). PCSD was related to impaired neurocognitive performance. Therefore, appropriate prevention and intervention measures should be taken to minimize or prevent PCSD and eliminate its potential adverse effect on neurocognitive function.

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