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Investigating sleep quality and sleep hygiene awareness among Chinese adults: an association and network analysis study

PURPOSE: The relationships between sleep quality and sleep hygiene awareness in the Chinese population were unclear. We aimed to investigate the associations and related factors between sleep quality and sleep hygiene awareness in adults and to identify the most central domain for sleep quality usin...

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Autores principales: Qi, Han, Liu, Rui, Zhou, Jia, Feng, Yuan, Feng, Lei, Feng, Zizhao, Yan, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984285/
https://www.ncbi.nlm.nih.gov/pubmed/36869169
http://dx.doi.org/10.1007/s11325-023-02798-0
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author Qi, Han
Liu, Rui
Zhou, Jia
Feng, Yuan
Feng, Lei
Feng, Zizhao
Yan, Fang
author_facet Qi, Han
Liu, Rui
Zhou, Jia
Feng, Yuan
Feng, Lei
Feng, Zizhao
Yan, Fang
author_sort Qi, Han
collection PubMed
description PURPOSE: The relationships between sleep quality and sleep hygiene awareness in the Chinese population were unclear. We aimed to investigate the associations and related factors between sleep quality and sleep hygiene awareness in adults and to identify the most central domain for sleep quality using network analysis. METHODS: A cross-sectional survey was conducted from April 22 to May 5, 2020. Adults (18 years old or above) who had access to smartphones were invited to participate in this survey. The Pittsburg Sleep Quality Index (PSQI) and the Sleep Hygiene Awareness and Practice Scale (SHAPS) were used to evaluate the sleep quality and sleep hygiene awareness of the participants. Propensity score matching (PSM) was used as sensitivity analysis to reduce the confounding effects. Multiple logistic regression was performed to evaluate the associations. The R packages “bootnet” and “qgraph” were used to estimate the connection and calculate the network centrality indices between good and poor sleepers. RESULTS: In total, 939 respondents were included in the analysis. Of them, 48.8% (95% CI: 45.6–52.0%) were identified as poor sleepers. Participants with nervous system diseases, psychiatric diseases, and psychological problems were more likely to have poor sleep quality. The notion that using sleep medication regularly was beneficial to sleep was associated with poor sleep quality. Similarly, the notion that waking up at the same time each day disrupted sleep was also associated with poor sleep quality. The findings were consistent before and after PSM. Subjective sleep quality was the most central domain for sleep quality in good and poor sleepers. CONCLUSION: Poor sleep quality was positively associated with certain sleep hygiene notions in Chinese adults. Effective measures such as self-relief, sleep hygiene education, and cognitive behavioral treatment may have been needed to improve sleep quality, especially during the COVID-19 outbreak. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11325-023-02798-0.
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spelling pubmed-99842852023-03-06 Investigating sleep quality and sleep hygiene awareness among Chinese adults: an association and network analysis study Qi, Han Liu, Rui Zhou, Jia Feng, Yuan Feng, Lei Feng, Zizhao Yan, Fang Sleep Breath Epidemiology • Original Article PURPOSE: The relationships between sleep quality and sleep hygiene awareness in the Chinese population were unclear. We aimed to investigate the associations and related factors between sleep quality and sleep hygiene awareness in adults and to identify the most central domain for sleep quality using network analysis. METHODS: A cross-sectional survey was conducted from April 22 to May 5, 2020. Adults (18 years old or above) who had access to smartphones were invited to participate in this survey. The Pittsburg Sleep Quality Index (PSQI) and the Sleep Hygiene Awareness and Practice Scale (SHAPS) were used to evaluate the sleep quality and sleep hygiene awareness of the participants. Propensity score matching (PSM) was used as sensitivity analysis to reduce the confounding effects. Multiple logistic regression was performed to evaluate the associations. The R packages “bootnet” and “qgraph” were used to estimate the connection and calculate the network centrality indices between good and poor sleepers. RESULTS: In total, 939 respondents were included in the analysis. Of them, 48.8% (95% CI: 45.6–52.0%) were identified as poor sleepers. Participants with nervous system diseases, psychiatric diseases, and psychological problems were more likely to have poor sleep quality. The notion that using sleep medication regularly was beneficial to sleep was associated with poor sleep quality. Similarly, the notion that waking up at the same time each day disrupted sleep was also associated with poor sleep quality. The findings were consistent before and after PSM. Subjective sleep quality was the most central domain for sleep quality in good and poor sleepers. CONCLUSION: Poor sleep quality was positively associated with certain sleep hygiene notions in Chinese adults. Effective measures such as self-relief, sleep hygiene education, and cognitive behavioral treatment may have been needed to improve sleep quality, especially during the COVID-19 outbreak. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11325-023-02798-0. Springer International Publishing 2023-03-04 /pmc/articles/PMC9984285/ /pubmed/36869169 http://dx.doi.org/10.1007/s11325-023-02798-0 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 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. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Epidemiology • Original Article
Qi, Han
Liu, Rui
Zhou, Jia
Feng, Yuan
Feng, Lei
Feng, Zizhao
Yan, Fang
Investigating sleep quality and sleep hygiene awareness among Chinese adults: an association and network analysis study
title Investigating sleep quality and sleep hygiene awareness among Chinese adults: an association and network analysis study
title_full Investigating sleep quality and sleep hygiene awareness among Chinese adults: an association and network analysis study
title_fullStr Investigating sleep quality and sleep hygiene awareness among Chinese adults: an association and network analysis study
title_full_unstemmed Investigating sleep quality and sleep hygiene awareness among Chinese adults: an association and network analysis study
title_short Investigating sleep quality and sleep hygiene awareness among Chinese adults: an association and network analysis study
title_sort investigating sleep quality and sleep hygiene awareness among chinese adults: an association and network analysis study
topic Epidemiology • Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984285/
https://www.ncbi.nlm.nih.gov/pubmed/36869169
http://dx.doi.org/10.1007/s11325-023-02798-0
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