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Overview of a Sleep Monitoring Protocol for a Large Natural Population

A standard operating procedure for studying the sleep phenotypes in a large population cohort is proposed. It is intended for academic researchers in investigating the sleep phenotypes in conjunction with the clinical sleep disorders assessment guidelines. The protocol refers to the definitive Ameri...

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Detalles Bibliográficos
Autores principales: Liu, Minghui, Zhu, Hangyu, Tang, Jinbu, Chen, Hongyu, Chen, Chen, Luo, Jingchun, Chen, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163293/
https://www.ncbi.nlm.nih.gov/pubmed/37362222
http://dx.doi.org/10.1007/s43657-023-00102-4
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author Liu, Minghui
Zhu, Hangyu
Tang, Jinbu
Chen, Hongyu
Chen, Chen
Luo, Jingchun
Chen, Wei
author_facet Liu, Minghui
Zhu, Hangyu
Tang, Jinbu
Chen, Hongyu
Chen, Chen
Luo, Jingchun
Chen, Wei
author_sort Liu, Minghui
collection PubMed
description A standard operating procedure for studying the sleep phenotypes in a large population cohort is proposed. It is intended for academic researchers in investigating the sleep phenotypes in conjunction with the clinical sleep disorders assessment guidelines. The protocol refers to the definitive American Academy of Sleep Medicine (AASM) manual for setting polysomnography (PSG) technical specifications, scoring of sleep and associated events, etc. On this basis, it not only provides a standardized procedure of sleep interview, sleep-relevant questionnaires, and laboratory-based PSG test, but also offers a comprehensive process of sleep data analysis, phenotype extraction, and data storage. Both the objective sleep data recorded by PSG test and subjective sleep information obtained by the sleep interview and sleep questionnaires are involved in the data acquisition procedure. Subsequently, sleep phenotypes can be characterized by observable/inconspicuous physiological patterns during sleep from PSG test or can be marked by sleeping habits like sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, daytime dysfunction, etc., from sleep interview or questionnaires derived. In addition, solutions to the problems that may be encountered during the protocol are summarized and addressed. With the protocol, it can significantly improve scientific research efficiency and reduce unnecessary workload in large population cohort studies. Moreover, it is also expected to provide a valuable reference for researchers to conduct systematic sleep research.
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spelling pubmed-101632932023-05-09 Overview of a Sleep Monitoring Protocol for a Large Natural Population Liu, Minghui Zhu, Hangyu Tang, Jinbu Chen, Hongyu Chen, Chen Luo, Jingchun Chen, Wei Phenomics Protocol A standard operating procedure for studying the sleep phenotypes in a large population cohort is proposed. It is intended for academic researchers in investigating the sleep phenotypes in conjunction with the clinical sleep disorders assessment guidelines. The protocol refers to the definitive American Academy of Sleep Medicine (AASM) manual for setting polysomnography (PSG) technical specifications, scoring of sleep and associated events, etc. On this basis, it not only provides a standardized procedure of sleep interview, sleep-relevant questionnaires, and laboratory-based PSG test, but also offers a comprehensive process of sleep data analysis, phenotype extraction, and data storage. Both the objective sleep data recorded by PSG test and subjective sleep information obtained by the sleep interview and sleep questionnaires are involved in the data acquisition procedure. Subsequently, sleep phenotypes can be characterized by observable/inconspicuous physiological patterns during sleep from PSG test or can be marked by sleeping habits like sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, daytime dysfunction, etc., from sleep interview or questionnaires derived. In addition, solutions to the problems that may be encountered during the protocol are summarized and addressed. With the protocol, it can significantly improve scientific research efficiency and reduce unnecessary workload in large population cohort studies. Moreover, it is also expected to provide a valuable reference for researchers to conduct systematic sleep research. Springer Nature Singapore 2023-05-06 /pmc/articles/PMC10163293/ /pubmed/37362222 http://dx.doi.org/10.1007/s43657-023-00102-4 Text en © International Human Phenome Institutes (Shanghai) 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
spellingShingle Protocol
Liu, Minghui
Zhu, Hangyu
Tang, Jinbu
Chen, Hongyu
Chen, Chen
Luo, Jingchun
Chen, Wei
Overview of a Sleep Monitoring Protocol for a Large Natural Population
title Overview of a Sleep Monitoring Protocol for a Large Natural Population
title_full Overview of a Sleep Monitoring Protocol for a Large Natural Population
title_fullStr Overview of a Sleep Monitoring Protocol for a Large Natural Population
title_full_unstemmed Overview of a Sleep Monitoring Protocol for a Large Natural Population
title_short Overview of a Sleep Monitoring Protocol for a Large Natural Population
title_sort overview of a sleep monitoring protocol for a large natural population
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163293/
https://www.ncbi.nlm.nih.gov/pubmed/37362222
http://dx.doi.org/10.1007/s43657-023-00102-4
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