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Gender and Regional Differences in Sleep Quality and Insomnia: A General Population-based Study in Hunan Province of China
Insomnia and the inability to sleep affect people’s health and well-being. However, its systematic estimates of prevalence and distribution in the general population in China are still lacking. A population-based cluster sampling survey was conducted in the rural and urban areas of Hunan, China. Sub...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5337959/ https://www.ncbi.nlm.nih.gov/pubmed/28262807 http://dx.doi.org/10.1038/srep43690 |
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author | Tang, Jinsong Liao, Yanhui Kelly, Brian C. Xie, Liqin Xiang, Yu-Tao Qi, Chang Pan, Chen Hao, Wei Liu, Tieqiao Zhang, Fengyu Chen, Xiaogang |
author_facet | Tang, Jinsong Liao, Yanhui Kelly, Brian C. Xie, Liqin Xiang, Yu-Tao Qi, Chang Pan, Chen Hao, Wei Liu, Tieqiao Zhang, Fengyu Chen, Xiaogang |
author_sort | Tang, Jinsong |
collection | PubMed |
description | Insomnia and the inability to sleep affect people’s health and well-being. However, its systematic estimates of prevalence and distribution in the general population in China are still lacking. A population-based cluster sampling survey was conducted in the rural and urban areas of Hunan, China. Subjects (n = 26,851) were sampled from the general population, with a follow-up using the Pittsburgh Sleep Quality Index (PSQI) for interview to assess quality of sleep and Insomnia (PSQI score >5). While the overall prevalence of insomnia was 26.6%, and little difference was found between males (26.3%) and females (27.0%); the mean PSQI score was 4.26 (±2.67), and significant higher in females (4.32 ± 2.70) than males (4.21 ± 2.64, p = 0.003). Individuals in the rural areas tended to report a higher PSQI score (4.45 ± 2.81) than urban residents did (4.18 ± 2.60) (p < 0.001) and the estimates of prevalence of insomnia was 29.4% in the rural areas, significant higher than 25.5% in the urban areas (p < 0.001). Multiple logistic regression analysis showed that female gender, older age, higher level of education, being unmarried, living in the rural area, cigarette smoking and alcohol drinking were associated with insomnia. Our study may provide important information for general and mental health research. |
format | Online Article Text |
id | pubmed-5337959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53379592017-03-08 Gender and Regional Differences in Sleep Quality and Insomnia: A General Population-based Study in Hunan Province of China Tang, Jinsong Liao, Yanhui Kelly, Brian C. Xie, Liqin Xiang, Yu-Tao Qi, Chang Pan, Chen Hao, Wei Liu, Tieqiao Zhang, Fengyu Chen, Xiaogang Sci Rep Article Insomnia and the inability to sleep affect people’s health and well-being. However, its systematic estimates of prevalence and distribution in the general population in China are still lacking. A population-based cluster sampling survey was conducted in the rural and urban areas of Hunan, China. Subjects (n = 26,851) were sampled from the general population, with a follow-up using the Pittsburgh Sleep Quality Index (PSQI) for interview to assess quality of sleep and Insomnia (PSQI score >5). While the overall prevalence of insomnia was 26.6%, and little difference was found between males (26.3%) and females (27.0%); the mean PSQI score was 4.26 (±2.67), and significant higher in females (4.32 ± 2.70) than males (4.21 ± 2.64, p = 0.003). Individuals in the rural areas tended to report a higher PSQI score (4.45 ± 2.81) than urban residents did (4.18 ± 2.60) (p < 0.001) and the estimates of prevalence of insomnia was 29.4% in the rural areas, significant higher than 25.5% in the urban areas (p < 0.001). Multiple logistic regression analysis showed that female gender, older age, higher level of education, being unmarried, living in the rural area, cigarette smoking and alcohol drinking were associated with insomnia. Our study may provide important information for general and mental health research. Nature Publishing Group 2017-03-06 /pmc/articles/PMC5337959/ /pubmed/28262807 http://dx.doi.org/10.1038/srep43690 Text en Copyright © 2017, 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 Tang, Jinsong Liao, Yanhui Kelly, Brian C. Xie, Liqin Xiang, Yu-Tao Qi, Chang Pan, Chen Hao, Wei Liu, Tieqiao Zhang, Fengyu Chen, Xiaogang Gender and Regional Differences in Sleep Quality and Insomnia: A General Population-based Study in Hunan Province of China |
title | Gender and Regional Differences in Sleep Quality and Insomnia: A General Population-based Study in Hunan Province of China |
title_full | Gender and Regional Differences in Sleep Quality and Insomnia: A General Population-based Study in Hunan Province of China |
title_fullStr | Gender and Regional Differences in Sleep Quality and Insomnia: A General Population-based Study in Hunan Province of China |
title_full_unstemmed | Gender and Regional Differences in Sleep Quality and Insomnia: A General Population-based Study in Hunan Province of China |
title_short | Gender and Regional Differences in Sleep Quality and Insomnia: A General Population-based Study in Hunan Province of China |
title_sort | gender and regional differences in sleep quality and insomnia: a general population-based study in hunan province of china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5337959/ https://www.ncbi.nlm.nih.gov/pubmed/28262807 http://dx.doi.org/10.1038/srep43690 |
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