Psychology, Health & Medicine

2022

DOI: 10.1080/13548506.2022.2159457

|View full text |Cite

|

Sign up to set email alerts

|

Different sleep patterns during the COVID-19 pandemic: association with mood, exercise and light exposure

Mírian Celly Medeiros Miranda David

¹

,

Gilberto Ramos Vieira

²

,

Lívia Maria de Lima Leôncio

³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Main Characteristics Of the Studies Included In The Review1

Introduction1

Citation Types

Supporting

0

Mentioning

2

Contrasting

0

Year Published

2023

2023

2023

2023

Publication Types

Select...

Article4

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

(2 citation statements)

References 41 publications

Supporting

0

Mentioning

2

Contrasting

0

Order By: Relevance

“…4 PLMS: periodic limb movement in sleep. 5 SDB: sleep-disordered breathing. 6 Inclusion of nighttime sleep data only.…”

Section: Main Characteristics Of the Studies Included In The Reviewmentioning

confidence: 99%

“…Sleep is an important indicator when analyzing fatigue [ 1 , 2 ], working performance [ 3 , 4 ], mood [ 5 , 6 ], circadian entrainment [ 7 , 8 ], etc. Some human experiments om large samples have been conducted in the field, with sleep monitoring performed at home [ 6 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of the Accuracy of Contactless Consumer Sleep-Tracking Devices Application in Human Experiment: A Systematic Review and Meta-Analysis

¹

,

²

,

³

et al. 2023

View full text Add to dashboard Cite

Compared with the gold standard, polysomnography (PSG), and silver standard, actigraphy, contactless consumer sleep-tracking devices (CCSTDs) are more advantageous for implementing large-sample and long-period experiments in the field and out of the laboratory due to their low price, convenience, and unobtrusiveness. This review aimed to examine the effectiveness of CCSTDs application in human experiments. A systematic review and meta-analysis (PRISMA) of their performance in monitoring sleep parameters were conducted (PROSPERO: CRD42022342378). PubMed, EMBASE, Cochrane CENTRALE, and Web of Science were searched, and 26 articles were qualified for systematic review, of which 22 provided quantitative data for meta-analysis. The findings show that CCSTDs had a better accuracy in the experimental group of healthy participants who wore mattress-based devices with piezoelectric sensors. CCSTDs’ performance in distinguishing waking from sleeping epochs is as good as that of actigraphy. Moreover, CCSTDs provide data on sleep stages that are not available when actigraphy is used. Therefore, CCSTDs could be an effective alternative tool to PSG and actigraphy in human experiments.

“…4 PLMS: periodic limb movement in sleep. 5 SDB: sleep-disordered breathing. 6 Inclusion of nighttime sleep data only.…”

Section: Main Characteristics Of the Studies Included In The Reviewmentioning

confidence: 99%

“…Sleep is an important indicator when analyzing fatigue [ 1 , 2 ], working performance [ 3 , 4 ], mood [ 5 , 6 ], circadian entrainment [ 7 , 8 ], etc. Some human experiments om large samples have been conducted in the field, with sleep monitoring performed at home [ 6 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Accuracy of Contactless Consumer Sleep-Tracking Devices Application in Human Experiment: A Systematic Review and Meta-Analysis

¹

,

²

,

³

et al. 2023

View full text Add to dashboard Cite

Compared with the gold standard, polysomnography (PSG), and silver standard, actigraphy, contactless consumer sleep-tracking devices (CCSTDs) are more advantageous for implementing large-sample and long-period experiments in the field and out of the laboratory due to their low price, convenience, and unobtrusiveness. This review aimed to examine the effectiveness of CCSTDs application in human experiments. A systematic review and meta-analysis (PRISMA) of their performance in monitoring sleep parameters were conducted (PROSPERO: CRD42022342378). PubMed, EMBASE, Cochrane CENTRALE, and Web of Science were searched, and 26 articles were qualified for systematic review, of which 22 provided quantitative data for meta-analysis. The findings show that CCSTDs had a better accuracy in the experimental group of healthy participants who wore mattress-based devices with piezoelectric sensors. CCSTDs’ performance in distinguishing waking from sleeping epochs is as good as that of actigraphy. Moreover, CCSTDs provide data on sleep stages that are not available when actigraphy is used. Therefore, CCSTDs could be an effective alternative tool to PSG and actigraphy in human experiments.

College students became more morning in the second year of the COVID-19 pandemic: impacts on sleep, mood, sunlight exposure and physical activity

¹

,

²

,

³

et al. 2023

Biological Rhythm Research

View full text Add to dashboard Cite

No abstract

Impact of the COVID-19 pandemic on the sleep quality of students: A meta-analysis and meta-regression

¹

,

²

,

³

et al. 2023

Behavioral Sleep Medicine

View full text Add to dashboard Cite

No abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Product

Browser Extension Assistant by scite Citation Statement Search Reference Check Visualizations Dashboards Explore Journals Explore Organizations Explore Funders Embedding Badge Embedding Citation Search Pricing

Resources

Blog Help & FAQ Accessibility Statement API Terms For Universities & Governments For Researchers For Publishers For Corporate, Pharma & Enterprise Author Marketing Become an Affiliate Get an organization trial or quote scite Data & Services

About

News & Press Careers Read our Paper Coverage

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Copyright © 2024 scite LLC. All rights reserved.

Made with 💙 for researchers

Part of the Research Solutions Family.