Brain Behavior and Immunity · 2023 · 26 citations · 48 references
MedicineInfectious DiseasesPsychiatryClinical EpidemiologySleep MedicineSleep NeurologyInsomnia DisordersSleep AssessmentSleep DisturbanceSleep HealthSleep-related FactorsSleep-wake DisordersInfection Risk FactorsInsomnia Symptom AssessmentInsomnia SymptomsSars-cov-2 InfectionSleep QualitySleep Quality AssessmentSleep Symptom AssessmentSubjective Sleep Quality
BACKGROUND: Millions of COVID-19 survivors experience a wide range of long-term symptoms after acute infection, giving rise to serious public health concerns. To date, few risk factors for post-COVID-19 conditions have been determined. This study evaluated the role of pre-infection sleep quality/duration and insomnia severity in the incidence of long-term symptoms after COVID-19. MATERIAL AND METHODS: This prospective study involved two assessments (April 2020 and 2022). At the baseline (April 2020), sleep quality/duration and insomnia symptoms in participants without current/prior SARS-CoV-2 infection were measured using the Pittsburgh Sleep Quality Index (PSQI) and the Insomnia Severity Index (ISI). At the follow-up (April 2022), we asked a group of COVID-19 survivors to retrospectively evaluate the presence of twenty-one symptoms (psychiatric, neurological, cognitive, bodily, and respiratory) that have been experienced one month (n = 713, infection in April 2020-February 2022) and three months after COVID-19 (n = 333, infection in April 2020-December 2021). In April 2022, participants also reported how many weeks passed to fully recover from COVID-19. Zero-inflated negative binomial models were used to estimate the effect of previous sleep on the number of long-term symptoms. Binomial logistic regressions were performed to evaluate the association between sleep variables, the incidence of each post-COVID-19 symptom, and the odds of recovery four/twelve weeks after infection. RESULTS: Analyses highlighted a significant effect of pre-infection sleep on the number of symptoms one/three months after COVID-19. Previous higher PSQI and ISI scores, and shorter sleep duration significantly increased the risk of almost every long-term symptom at one/three months from COVID-19. Baseline sleep problems were also associated with longer recovery times to return to the pre-infection daily functioning level after COVID-19. CONCLUSIONS: This study suggested a prospective dose-dependent association of pre-infection sleep quality/quantity and insomnia severity with the manifestation of post-COVID-19 symptoms. Further research is warranted to determine whether preventively promoting sleep health may mitigate the COVID-19 sequelae, with substantial public health and societal implications.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Attributes and predictors of long COVID
Carole H. Sudre, Benjamin Murray, Thomas Varsavsky et al. · Nature Medicine · 2021 · 2.6K citations · Full text
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Achim Zeileis, Christian Kleiber, Simon Jackman · Journal of Statistical Software · 2008 · 2.4K citations · Full text