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Sleep characteristic profiles and the correlation with spectrum of metabolic syndrome among older adult: a cross-sectional study

BACKGROUND: Metabolic Syndrome (MetS) is a common health problem among older adults. Previous studies have revealed the relationship between sleep duration as well as global sleep status and MetS. OBJECTIVES: This study aims to examine the association between the specific sleep characteristic and Me...

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Autores principales: Liu, Xin, Huang, Limei, Wu, Qiang, Chen, Yingwei, Chen, Xiuqin, Chen, Hao, Gao, Junling, Xiao, Qianyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097235/
https://www.ncbi.nlm.nih.gov/pubmed/35546663
http://dx.doi.org/10.1186/s12877-022-03074-8
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author Liu, Xin
Huang, Limei
Wu, Qiang
Chen, Yingwei
Chen, Xiuqin
Chen, Hao
Gao, Junling
Xiao, Qianyi
author_facet Liu, Xin
Huang, Limei
Wu, Qiang
Chen, Yingwei
Chen, Xiuqin
Chen, Hao
Gao, Junling
Xiao, Qianyi
author_sort Liu, Xin
collection PubMed
description BACKGROUND: Metabolic Syndrome (MetS) is a common health problem among older adults. Previous studies have revealed the relationship between sleep duration as well as global sleep status and MetS. OBJECTIVES: This study aims to examine the association between the specific sleep characteristic and MetS as well as MetS components among community-dwelling old adults. METHODS: This cross-sectional study included 1499 community residents aged ≥ 60 years. Sleep characteristics were assessed using the Pittsburgh Sleep Quality Index (PSQI) and bed/rise time of the residents. Logistic regression analysis and multiple linear regression analysis were used to examine the associations between sleep characteristics and MetS as well as MetS components. A generalized additive model was built to assess the smooth relationship between triglyceride (TG) levels and sleep duration. RESULTS: Of the 1499 participants, 449 (30.0%) had MetS, and 443 (29.6%) had poor sleep quality. The rise time was found to be associated with MetS (> 6:00 vs. 5:00 ~ 6:00: adjusted OR (95%) = 1.77 (1.17–2.69), P = 0.007). For the MetS components, a U-shaped relationship was first revealed for sleep duration and TG levels (EDF = 1.85, P < 0.001). Furthermore, significant associations also included the associations of subjective sleep quality and daytime dysfunction with hypertension, the associations of sleep efficiency and rise time with hyperglycemia, the associations of rise time with TG levels, and the association of bedtime with waist circumference. CONCLUSIONS: The different sleep characteristics were associated with different MetS components. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03074-8.
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spelling pubmed-90972352022-05-13 Sleep characteristic profiles and the correlation with spectrum of metabolic syndrome among older adult: a cross-sectional study Liu, Xin Huang, Limei Wu, Qiang Chen, Yingwei Chen, Xiuqin Chen, Hao Gao, Junling Xiao, Qianyi BMC Geriatr Research BACKGROUND: Metabolic Syndrome (MetS) is a common health problem among older adults. Previous studies have revealed the relationship between sleep duration as well as global sleep status and MetS. OBJECTIVES: This study aims to examine the association between the specific sleep characteristic and MetS as well as MetS components among community-dwelling old adults. METHODS: This cross-sectional study included 1499 community residents aged ≥ 60 years. Sleep characteristics were assessed using the Pittsburgh Sleep Quality Index (PSQI) and bed/rise time of the residents. Logistic regression analysis and multiple linear regression analysis were used to examine the associations between sleep characteristics and MetS as well as MetS components. A generalized additive model was built to assess the smooth relationship between triglyceride (TG) levels and sleep duration. RESULTS: Of the 1499 participants, 449 (30.0%) had MetS, and 443 (29.6%) had poor sleep quality. The rise time was found to be associated with MetS (> 6:00 vs. 5:00 ~ 6:00: adjusted OR (95%) = 1.77 (1.17–2.69), P = 0.007). For the MetS components, a U-shaped relationship was first revealed for sleep duration and TG levels (EDF = 1.85, P < 0.001). Furthermore, significant associations also included the associations of subjective sleep quality and daytime dysfunction with hypertension, the associations of sleep efficiency and rise time with hyperglycemia, the associations of rise time with TG levels, and the association of bedtime with waist circumference. CONCLUSIONS: The different sleep characteristics were associated with different MetS components. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03074-8. BioMed Central 2022-05-11 /pmc/articles/PMC9097235/ /pubmed/35546663 http://dx.doi.org/10.1186/s12877-022-03074-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liu, Xin
Huang, Limei
Wu, Qiang
Chen, Yingwei
Chen, Xiuqin
Chen, Hao
Gao, Junling
Xiao, Qianyi
Sleep characteristic profiles and the correlation with spectrum of metabolic syndrome among older adult: a cross-sectional study
title Sleep characteristic profiles and the correlation with spectrum of metabolic syndrome among older adult: a cross-sectional study
title_full Sleep characteristic profiles and the correlation with spectrum of metabolic syndrome among older adult: a cross-sectional study
title_fullStr Sleep characteristic profiles and the correlation with spectrum of metabolic syndrome among older adult: a cross-sectional study
title_full_unstemmed Sleep characteristic profiles and the correlation with spectrum of metabolic syndrome among older adult: a cross-sectional study
title_short Sleep characteristic profiles and the correlation with spectrum of metabolic syndrome among older adult: a cross-sectional study
title_sort sleep characteristic profiles and the correlation with spectrum of metabolic syndrome among older adult: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097235/
https://www.ncbi.nlm.nih.gov/pubmed/35546663
http://dx.doi.org/10.1186/s12877-022-03074-8
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