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Cluster analysis of insomnia symptoms during COVID-19 pandemic: a general population web-based survey in Iran

OBJECTIVE: To investigate the prevalence of insomnia and its different phenotypes as well as their association with fear of COVID-19 in the general population. MATERIAL AND METHODS: This was a cross-sectional study conducted using an online survey (e-poll). All available participants who completed t...

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Autores principales: Sadeghniiat-Haghighi, Khosro, Mehrabinejad, Mohammad-Mehdi, Najafi, Arezu, Shabani, Mahya, Akbarpour, Samaneh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Brazilian Association of Sleep and Latin American Federation of Sleep 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663724/
https://www.ncbi.nlm.nih.gov/pubmed/34917275
http://dx.doi.org/10.5935/1984-0063.20200087
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author Sadeghniiat-Haghighi, Khosro
Mehrabinejad, Mohammad-Mehdi
Najafi, Arezu
Shabani, Mahya
Akbarpour, Samaneh
author_facet Sadeghniiat-Haghighi, Khosro
Mehrabinejad, Mohammad-Mehdi
Najafi, Arezu
Shabani, Mahya
Akbarpour, Samaneh
author_sort Sadeghniiat-Haghighi, Khosro
collection PubMed
description OBJECTIVE: To investigate the prevalence of insomnia and its different phenotypes as well as their association with fear of COVID-19 in the general population. MATERIAL AND METHODS: This was a cross-sectional study conducted using an online survey (e-poll). All available participants who completed the online survey form were included in the current study. All individuals with a history of sleep problems were excluded. A questionnaire package consisted of insomnia severity index (ISI), and FCV-19 for corona fear was administered for all participants. Insomnia was defined as ISI≥8. Insomnia phenotypes were considered as: (a) DIS: difficulty initiating sleep; (b) DMS: difficulty maintaining sleep; (c) EMA: early morning awakening; and (d) combined insomnia. RESULTS: A total of 1,223 participants [827 (67.6%) female, mean age=39.82±10.75 years old], enrolled in the current survey. Based on ISI, 675 (55.2% [95%CI=52.40-57.98]) were categorized into the insomnia group. Insomnia was more prevalent in females (p=0.006), participants with 50 years old or higher (p=0.04), or high fear of COVID-19 (p<0.0001). Totally, 67.4%, 66.4%, and 55% of all participants had DIS, DMS, and EMA, respectively, in the current outbreak. Besides, 79% had impaired daily functioning, 51.6% had impaired quality of life, and 62% were worried about their sleep problem. Notably that a considerable percentage of individuals with normal ISI scores had at least one insomnia phenotype or impaired daily functioning and quality of life. Further analyses revealed a significant increasing trend in all four insomnia phenotypes prevalence with an increase in fear of COVID-19 (all p-values<0.0001). CONCLUSION: Individuals with higher age, female gender, or higher fear of COVID-19 are at higher risk of all types of insomnia as well as impaired daytime performance or quality of life.
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spelling pubmed-86637242021-12-15 Cluster analysis of insomnia symptoms during COVID-19 pandemic: a general population web-based survey in Iran Sadeghniiat-Haghighi, Khosro Mehrabinejad, Mohammad-Mehdi Najafi, Arezu Shabani, Mahya Akbarpour, Samaneh Sleep Sci Original Article OBJECTIVE: To investigate the prevalence of insomnia and its different phenotypes as well as their association with fear of COVID-19 in the general population. MATERIAL AND METHODS: This was a cross-sectional study conducted using an online survey (e-poll). All available participants who completed the online survey form were included in the current study. All individuals with a history of sleep problems were excluded. A questionnaire package consisted of insomnia severity index (ISI), and FCV-19 for corona fear was administered for all participants. Insomnia was defined as ISI≥8. Insomnia phenotypes were considered as: (a) DIS: difficulty initiating sleep; (b) DMS: difficulty maintaining sleep; (c) EMA: early morning awakening; and (d) combined insomnia. RESULTS: A total of 1,223 participants [827 (67.6%) female, mean age=39.82±10.75 years old], enrolled in the current survey. Based on ISI, 675 (55.2% [95%CI=52.40-57.98]) were categorized into the insomnia group. Insomnia was more prevalent in females (p=0.006), participants with 50 years old or higher (p=0.04), or high fear of COVID-19 (p<0.0001). Totally, 67.4%, 66.4%, and 55% of all participants had DIS, DMS, and EMA, respectively, in the current outbreak. Besides, 79% had impaired daily functioning, 51.6% had impaired quality of life, and 62% were worried about their sleep problem. Notably that a considerable percentage of individuals with normal ISI scores had at least one insomnia phenotype or impaired daily functioning and quality of life. Further analyses revealed a significant increasing trend in all four insomnia phenotypes prevalence with an increase in fear of COVID-19 (all p-values<0.0001). CONCLUSION: Individuals with higher age, female gender, or higher fear of COVID-19 are at higher risk of all types of insomnia as well as impaired daytime performance or quality of life. Brazilian Association of Sleep and Latin American Federation of Sleep 2021 /pmc/articles/PMC8663724/ /pubmed/34917275 http://dx.doi.org/10.5935/1984-0063.20200087 Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Sadeghniiat-Haghighi, Khosro
Mehrabinejad, Mohammad-Mehdi
Najafi, Arezu
Shabani, Mahya
Akbarpour, Samaneh
Cluster analysis of insomnia symptoms during COVID-19 pandemic: a general population web-based survey in Iran
title Cluster analysis of insomnia symptoms during COVID-19 pandemic: a general population web-based survey in Iran
title_full Cluster analysis of insomnia symptoms during COVID-19 pandemic: a general population web-based survey in Iran
title_fullStr Cluster analysis of insomnia symptoms during COVID-19 pandemic: a general population web-based survey in Iran
title_full_unstemmed Cluster analysis of insomnia symptoms during COVID-19 pandemic: a general population web-based survey in Iran
title_short Cluster analysis of insomnia symptoms during COVID-19 pandemic: a general population web-based survey in Iran
title_sort cluster analysis of insomnia symptoms during covid-19 pandemic: a general population web-based survey in iran
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663724/
https://www.ncbi.nlm.nih.gov/pubmed/34917275
http://dx.doi.org/10.5935/1984-0063.20200087
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