Worry and insomnia as risk factors for depression during initial stages of COVID-19 pandemic in India.

The biggest nationwide COVID-19 pandemic lockdown worldwide was enforced in India for an initial period of 21-days. Emerging evidence suggests that pandemic situations and associated lockdowns have an adverse impact on sleep and mental health. However, prediction of sleep health from sociodemographi...

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Main Authors: Sahil Bajaj, Karina S Blair, Amanda Schwartz, Matthew Dobbertin, R James R Blair
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0243527
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spelling doaj-6ebf590682f14561a2226cd76c9e8c4e2021-03-04T12:27:45ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-011512e024352710.1371/journal.pone.0243527Worry and insomnia as risk factors for depression during initial stages of COVID-19 pandemic in India.Sahil BajajKarina S BlairAmanda SchwartzMatthew DobbertinR James R BlairThe biggest nationwide COVID-19 pandemic lockdown worldwide was enforced in India for an initial period of 21-days. Emerging evidence suggests that pandemic situations and associated lockdowns have an adverse impact on sleep and mental health. However, prediction of sleep health from sociodemographic characteristics and the public's worry during the initial stages of the COVID-19 pandemic has not been extensively explored so far. It's also unclear whether sleep outcomes mediate the association between worry and mental health during pandemic situations. A web-survey (N = 391) on sociodemographic characteristics, COVID-19 related worry, sleep health (insomnia and daytime sleepiness), and depression was conducted during the initial 21-days of the COVID-19 stringent lockdown in India. Multiple regression analyses showed that variables, including sex, age, income level, and worry score, contributed to the significant regression equation for insomnia but not for daytime sleepiness. Specifically, the female, younger, lower income, and highly worried populations contributed significantly more than the male, elderly, higher income, and less worried populations, respectively, to the prediction of insomnia. Mediation analyses showed that insomnia, but not daytime sleepiness, fully mediated the relationship between worry score and severity of depressive symptoms. We provide evidence that the female, younger, lower income, and worried populations may be at higher risk for insomnia during pandemic situations. Current evidence gives hope that improving sleep may reduce depressive symptoms during a pandemic situation. This underscores the importance of the implementation of effective public health policies in conjunction with strategical responses to the COVID-19 pandemic.https://doi.org/10.1371/journal.pone.0243527
collection DOAJ
language English
format Article
sources DOAJ
author Sahil Bajaj
Karina S Blair
Amanda Schwartz
Matthew Dobbertin
R James R Blair
spellingShingle Sahil Bajaj
Karina S Blair
Amanda Schwartz
Matthew Dobbertin
R James R Blair
Worry and insomnia as risk factors for depression during initial stages of COVID-19 pandemic in India.
PLoS ONE
author_facet Sahil Bajaj
Karina S Blair
Amanda Schwartz
Matthew Dobbertin
R James R Blair
author_sort Sahil Bajaj
title Worry and insomnia as risk factors for depression during initial stages of COVID-19 pandemic in India.
title_short Worry and insomnia as risk factors for depression during initial stages of COVID-19 pandemic in India.
title_full Worry and insomnia as risk factors for depression during initial stages of COVID-19 pandemic in India.
title_fullStr Worry and insomnia as risk factors for depression during initial stages of COVID-19 pandemic in India.
title_full_unstemmed Worry and insomnia as risk factors for depression during initial stages of COVID-19 pandemic in India.
title_sort worry and insomnia as risk factors for depression during initial stages of covid-19 pandemic in india.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description The biggest nationwide COVID-19 pandemic lockdown worldwide was enforced in India for an initial period of 21-days. Emerging evidence suggests that pandemic situations and associated lockdowns have an adverse impact on sleep and mental health. However, prediction of sleep health from sociodemographic characteristics and the public's worry during the initial stages of the COVID-19 pandemic has not been extensively explored so far. It's also unclear whether sleep outcomes mediate the association between worry and mental health during pandemic situations. A web-survey (N = 391) on sociodemographic characteristics, COVID-19 related worry, sleep health (insomnia and daytime sleepiness), and depression was conducted during the initial 21-days of the COVID-19 stringent lockdown in India. Multiple regression analyses showed that variables, including sex, age, income level, and worry score, contributed to the significant regression equation for insomnia but not for daytime sleepiness. Specifically, the female, younger, lower income, and highly worried populations contributed significantly more than the male, elderly, higher income, and less worried populations, respectively, to the prediction of insomnia. Mediation analyses showed that insomnia, but not daytime sleepiness, fully mediated the relationship between worry score and severity of depressive symptoms. We provide evidence that the female, younger, lower income, and worried populations may be at higher risk for insomnia during pandemic situations. Current evidence gives hope that improving sleep may reduce depressive symptoms during a pandemic situation. This underscores the importance of the implementation of effective public health policies in conjunction with strategical responses to the COVID-19 pandemic.
url https://doi.org/10.1371/journal.pone.0243527
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