COVID-19, Long COVID, and Sleep Disturbances
Author Information
Author(s): Heng Shao, Hui Chen, Kewang Xu, Quan Gan, Meiling Chen, Yanyu Zhao, Shun Yu, Yutong Kelly Li, Lihua Chen, Bibo Cai
Primary Institution: The First People’s Hospital of Yunnan Province, Kunming, China
Hypothesis
This study aims to investigate the associations between COVID-19, long COVID, and sleep disturbances, focusing on demographic, socioeconomic, and psychological factors among a Chinese population.
Conclusion
Long COVID is strongly associated with significant sleep disturbances, while initial COVID-19 infection shows a more moderate association with sleep issues.
Supporting Evidence
- COVID-19 infection was confirmed in 857 participants, with 273 developing long COVID.
- Age was significantly associated with both infection rates and long COVID.
- Participants aged 60-70 years were particularly vulnerable to both outcomes.
- Sleep latency was significantly longer in the infected group compared to the uninfected group.
- Long COVID participants had significantly worse sleep outcomes across all metrics.
Takeaway
People who had COVID-19 for a long time have a lot of trouble sleeping, especially older adults and those with less money.
Methodology
This cross-sectional study included 1062 participants from China, using web-based questionnaires to collect demographic, socioeconomic, and clinical data, and assessing sleep quality with the Pittsburgh Sleep Quality Index.
Potential Biases
Potential selection bias due to recruitment methods and reliance on self-reported data.
Limitations
The study's cross-sectional design limits causal conclusions, and self-reported data may introduce bias.
Participant Demographics
62.4% male and 37.6% female, with a significant portion aged 60-70 years.
Statistical Information
P-Value
P<0.001 for age association with infection and long COVID.
Confidence Interval
95% CI for various associations reported in the study.
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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