Cargando…

COVID‐19‐related fears and information frequency predict sleep behavior in bipolar disorder

INTRODUCTION: The coronavirus disease (COVID‐19) pandemic and consequent restrictions including social distancing had a great impact on everyday life. To date, little is known about how the restrictions affected sleep, which is commonly disturbed in bipolar disorder (BD). The aim of this study was t...

Descripción completa

Detalles Bibliográficos
Autores principales: Fellendorf, Frederike T., Reininghaus, Eva Z., Ratzenhofer, Michaela, Lenger, Melanie, Maget, Alexander, Platzer, Martina, Bengesser, Susanne A., Birner, Armin, Queissner, Robert, Hamm, Carlo, Pilz, Rene, Dalkner, Nina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420206/
https://www.ncbi.nlm.nih.gov/pubmed/34409763
http://dx.doi.org/10.1002/brb3.2182
_version_ 1783748898920071168
author Fellendorf, Frederike T.
Reininghaus, Eva Z.
Ratzenhofer, Michaela
Lenger, Melanie
Maget, Alexander
Platzer, Martina
Bengesser, Susanne A.
Birner, Armin
Queissner, Robert
Hamm, Carlo
Pilz, Rene
Dalkner, Nina
author_facet Fellendorf, Frederike T.
Reininghaus, Eva Z.
Ratzenhofer, Michaela
Lenger, Melanie
Maget, Alexander
Platzer, Martina
Bengesser, Susanne A.
Birner, Armin
Queissner, Robert
Hamm, Carlo
Pilz, Rene
Dalkner, Nina
author_sort Fellendorf, Frederike T.
collection PubMed
description INTRODUCTION: The coronavirus disease (COVID‐19) pandemic and consequent restrictions including social distancing had a great impact on everyday life. To date, little is known about how the restrictions affected sleep, which is commonly disturbed in bipolar disorder (BD). The aim of this study was to elucidate sleep patterns during the pandemic in Austrian BD individuals. METHODS: An online survey assessed sleep with the Pittsburgh Sleep Quality Index (PSQI) and COVID‐19‐associated attitudes, fears, and emotional distress of 20 BD individuals and 19 controls (HC) during the pandemic. The survey was conducted in April 2020, when very strict regulations were declared, and repeated in May, when they were loosened. RESULTS: Individuals with BD reported overall poor sleep according to PSQI sum at both time points. Subjective sleep quality, sleep latency, daytime sleepiness, and PSQI sum were worse in individuals with BD than in HC. Individuals with BD informed themselves more frequently about pandemic‐related topics. Higher information frequency and more COVID‐19 fears (about the virus, own infection, contracting others) correlated with worse PSQI values. Regression models found in BD group that higher information frequency as well as higher COVID‐19 fears in April predicted worse sleep characteristics in May, in particular subjective sleep quality, sleep duration, sleep efficiency, and daytime sleepiness. CONCLUSION: As sufficient sleep duration and quality are essential for well‐being and particularly important for vulnerable BD individuals, it is important that information about the pandemic is gathered to a reasonable extent and mental health professionals include COVID‐19‐related fears when currently treating BD.
format Online
Article
Text
id pubmed-8420206
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-84202062021-09-07 COVID‐19‐related fears and information frequency predict sleep behavior in bipolar disorder Fellendorf, Frederike T. Reininghaus, Eva Z. Ratzenhofer, Michaela Lenger, Melanie Maget, Alexander Platzer, Martina Bengesser, Susanne A. Birner, Armin Queissner, Robert Hamm, Carlo Pilz, Rene Dalkner, Nina Brain Behav Original Research INTRODUCTION: The coronavirus disease (COVID‐19) pandemic and consequent restrictions including social distancing had a great impact on everyday life. To date, little is known about how the restrictions affected sleep, which is commonly disturbed in bipolar disorder (BD). The aim of this study was to elucidate sleep patterns during the pandemic in Austrian BD individuals. METHODS: An online survey assessed sleep with the Pittsburgh Sleep Quality Index (PSQI) and COVID‐19‐associated attitudes, fears, and emotional distress of 20 BD individuals and 19 controls (HC) during the pandemic. The survey was conducted in April 2020, when very strict regulations were declared, and repeated in May, when they were loosened. RESULTS: Individuals with BD reported overall poor sleep according to PSQI sum at both time points. Subjective sleep quality, sleep latency, daytime sleepiness, and PSQI sum were worse in individuals with BD than in HC. Individuals with BD informed themselves more frequently about pandemic‐related topics. Higher information frequency and more COVID‐19 fears (about the virus, own infection, contracting others) correlated with worse PSQI values. Regression models found in BD group that higher information frequency as well as higher COVID‐19 fears in April predicted worse sleep characteristics in May, in particular subjective sleep quality, sleep duration, sleep efficiency, and daytime sleepiness. CONCLUSION: As sufficient sleep duration and quality are essential for well‐being and particularly important for vulnerable BD individuals, it is important that information about the pandemic is gathered to a reasonable extent and mental health professionals include COVID‐19‐related fears when currently treating BD. John Wiley and Sons Inc. 2021-08-19 /pmc/articles/PMC8420206/ /pubmed/34409763 http://dx.doi.org/10.1002/brb3.2182 Text en © 2021 The Authors. Brain and Behavior published by Wiley Periodicals LLC https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Fellendorf, Frederike T.
Reininghaus, Eva Z.
Ratzenhofer, Michaela
Lenger, Melanie
Maget, Alexander
Platzer, Martina
Bengesser, Susanne A.
Birner, Armin
Queissner, Robert
Hamm, Carlo
Pilz, Rene
Dalkner, Nina
COVID‐19‐related fears and information frequency predict sleep behavior in bipolar disorder
title COVID‐19‐related fears and information frequency predict sleep behavior in bipolar disorder
title_full COVID‐19‐related fears and information frequency predict sleep behavior in bipolar disorder
title_fullStr COVID‐19‐related fears and information frequency predict sleep behavior in bipolar disorder
title_full_unstemmed COVID‐19‐related fears and information frequency predict sleep behavior in bipolar disorder
title_short COVID‐19‐related fears and information frequency predict sleep behavior in bipolar disorder
title_sort covid‐19‐related fears and information frequency predict sleep behavior in bipolar disorder
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420206/
https://www.ncbi.nlm.nih.gov/pubmed/34409763
http://dx.doi.org/10.1002/brb3.2182
work_keys_str_mv AT fellendorffrederiket covid19relatedfearsandinformationfrequencypredictsleepbehaviorinbipolardisorder
AT reininghausevaz covid19relatedfearsandinformationfrequencypredictsleepbehaviorinbipolardisorder
AT ratzenhofermichaela covid19relatedfearsandinformationfrequencypredictsleepbehaviorinbipolardisorder
AT lengermelanie covid19relatedfearsandinformationfrequencypredictsleepbehaviorinbipolardisorder
AT magetalexander covid19relatedfearsandinformationfrequencypredictsleepbehaviorinbipolardisorder
AT platzermartina covid19relatedfearsandinformationfrequencypredictsleepbehaviorinbipolardisorder
AT bengessersusannea covid19relatedfearsandinformationfrequencypredictsleepbehaviorinbipolardisorder
AT birnerarmin covid19relatedfearsandinformationfrequencypredictsleepbehaviorinbipolardisorder
AT queissnerrobert covid19relatedfearsandinformationfrequencypredictsleepbehaviorinbipolardisorder
AT hammcarlo covid19relatedfearsandinformationfrequencypredictsleepbehaviorinbipolardisorder
AT pilzrene covid19relatedfearsandinformationfrequencypredictsleepbehaviorinbipolardisorder
AT dalknernina covid19relatedfearsandinformationfrequencypredictsleepbehaviorinbipolardisorder