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Sleep duration, daytime napping, markers of obstructive sleep apnea and stroke in a population of southern China
Sleep habits are associated with stroke in western populations, but this relation has been rarely investigated in China. Moreover, the differences among stroke subtypes remain unclear. This study aimed to explore the associations of total stroke, including ischemic and hemorrhagic type, with sleep h...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048149/ https://www.ncbi.nlm.nih.gov/pubmed/27698374 http://dx.doi.org/10.1038/srep34689 |
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author | Wen, Ye Pi, Fu-Hua Guo, Pi Dong, Wen-Ya Xie, Yu-Qing Wang, Xiang-Yu Xia, Fang-Fang Pang, Shao-Jie Wu, Yan-Chun Wang, Yuan-Yuan Zhang, Qing-Ying |
author_facet | Wen, Ye Pi, Fu-Hua Guo, Pi Dong, Wen-Ya Xie, Yu-Qing Wang, Xiang-Yu Xia, Fang-Fang Pang, Shao-Jie Wu, Yan-Chun Wang, Yuan-Yuan Zhang, Qing-Ying |
author_sort | Wen, Ye |
collection | PubMed |
description | Sleep habits are associated with stroke in western populations, but this relation has been rarely investigated in China. Moreover, the differences among stroke subtypes remain unclear. This study aimed to explore the associations of total stroke, including ischemic and hemorrhagic type, with sleep habits of a population in southern China. We performed a case-control study in patients admitted to the hospital with first stroke and community control subjects. A total of 333 patients (n = 223, 67.0%, with ischemic stroke; n = 110, 23.0%, with hemorrhagic stroke) and 547 controls were enrolled in the study. Participants completed a structured questionnaire to identify sleep habits and other stroke risk factors. Least absolute shrinkage and selection operator (Lasso) and multiple logistic regression were performed to identify risk factors of disease. Incidence of stroke, and its subtypes, was significantly associated with snorting/gasping, snoring, sleep duration, and daytime napping. Snorting/gasping was identified as an important risk factor in the Lasso logistic regression model (Lasso’ β = 0.84), and the result was proven to be robust. This study showed the association between stroke and sleep habits in the southern Chinese population and might help in better detecting important sleep-related factors for stroke risk. |
format | Online Article Text |
id | pubmed-5048149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50481492016-10-11 Sleep duration, daytime napping, markers of obstructive sleep apnea and stroke in a population of southern China Wen, Ye Pi, Fu-Hua Guo, Pi Dong, Wen-Ya Xie, Yu-Qing Wang, Xiang-Yu Xia, Fang-Fang Pang, Shao-Jie Wu, Yan-Chun Wang, Yuan-Yuan Zhang, Qing-Ying Sci Rep Article Sleep habits are associated with stroke in western populations, but this relation has been rarely investigated in China. Moreover, the differences among stroke subtypes remain unclear. This study aimed to explore the associations of total stroke, including ischemic and hemorrhagic type, with sleep habits of a population in southern China. We performed a case-control study in patients admitted to the hospital with first stroke and community control subjects. A total of 333 patients (n = 223, 67.0%, with ischemic stroke; n = 110, 23.0%, with hemorrhagic stroke) and 547 controls were enrolled in the study. Participants completed a structured questionnaire to identify sleep habits and other stroke risk factors. Least absolute shrinkage and selection operator (Lasso) and multiple logistic regression were performed to identify risk factors of disease. Incidence of stroke, and its subtypes, was significantly associated with snorting/gasping, snoring, sleep duration, and daytime napping. Snorting/gasping was identified as an important risk factor in the Lasso logistic regression model (Lasso’ β = 0.84), and the result was proven to be robust. This study showed the association between stroke and sleep habits in the southern Chinese population and might help in better detecting important sleep-related factors for stroke risk. Nature Publishing Group 2016-10-04 /pmc/articles/PMC5048149/ /pubmed/27698374 http://dx.doi.org/10.1038/srep34689 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Wen, Ye Pi, Fu-Hua Guo, Pi Dong, Wen-Ya Xie, Yu-Qing Wang, Xiang-Yu Xia, Fang-Fang Pang, Shao-Jie Wu, Yan-Chun Wang, Yuan-Yuan Zhang, Qing-Ying Sleep duration, daytime napping, markers of obstructive sleep apnea and stroke in a population of southern China |
title | Sleep duration, daytime napping, markers of obstructive sleep apnea and stroke in a population of southern China |
title_full | Sleep duration, daytime napping, markers of obstructive sleep apnea and stroke in a population of southern China |
title_fullStr | Sleep duration, daytime napping, markers of obstructive sleep apnea and stroke in a population of southern China |
title_full_unstemmed | Sleep duration, daytime napping, markers of obstructive sleep apnea and stroke in a population of southern China |
title_short | Sleep duration, daytime napping, markers of obstructive sleep apnea and stroke in a population of southern China |
title_sort | sleep duration, daytime napping, markers of obstructive sleep apnea and stroke in a population of southern china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048149/ https://www.ncbi.nlm.nih.gov/pubmed/27698374 http://dx.doi.org/10.1038/srep34689 |
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