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Sleep Quality among the Elderly in 21st Century Shandong Province, China: A Ten-Year Comparative Study
Background: Despite the enormous changes observed in China since entering the 21st century, little is known about changes in sleep quality among older adults. Aims: The purpose of this study is to explore the changes, features, and influence factors of sleep quality among the elderly in a ten-year p...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656170/ https://www.ncbi.nlm.nih.gov/pubmed/36361172 http://dx.doi.org/10.3390/ijerph192114296 |
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author | Yue, Zenghe Zhang, Yi Cheng, Xiaojing Zhang, Jingxuan |
author_facet | Yue, Zenghe Zhang, Yi Cheng, Xiaojing Zhang, Jingxuan |
author_sort | Yue, Zenghe |
collection | PubMed |
description | Background: Despite the enormous changes observed in China since entering the 21st century, little is known about changes in sleep quality among older adults. Aims: The purpose of this study is to explore the changes, features, and influence factors of sleep quality among the elderly in a ten-year period, providing evidence for sleep-quality enhancement. Methods: The data were obtained from the data of epidemiological sampling surveys on mental disorders in Shandong province in 2004 and 2015. A total of 4451 subjects (aged ≥ 60 years) in 2004 and 10,894 subjects (aged ≥ 60 years) in 2015 were selected by the multistage stratified sampling method. The demographic information and Pittsburgh Sleep Quality Index (PSQI) were collected. Results: The adjusted 1-month prevalence of poor sleep in 2015 was 22.5% (95% CI:21.7–23.3), which is lower than that in 2004 (24.8%) (95% CI:23.5–26.0, p = 0.002). The total score of the PSQI in 2015 (4.74 ± 3.96) was lower than that in 2004 (4.97 ± 4.18, p = 0.002). In 2015, a binary multi-factor logistic and stepwise regression analysis showed that being female, living in a rural area, living alone, being older, spending less years in school, and being jobless/unemployed made the participants more likely to develop poor sleep (p < 0.05, p < 0.01). Conclusions: In 2015, the overall sleep quality of the elderly (aged ≥ 60) in Shandong province was significantly improved compared to 2004. After more than 10 years, the characteristics of the elderly with sleep disturbances in Shandong province has changed. Therefore, more attention should be paid to gender, location of residence (rural or urban), living arrangement, age, education, occupation, and other factors to improve the sleep quality of the elderly. |
format | Online Article Text |
id | pubmed-9656170 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96561702022-11-15 Sleep Quality among the Elderly in 21st Century Shandong Province, China: A Ten-Year Comparative Study Yue, Zenghe Zhang, Yi Cheng, Xiaojing Zhang, Jingxuan Int J Environ Res Public Health Article Background: Despite the enormous changes observed in China since entering the 21st century, little is known about changes in sleep quality among older adults. Aims: The purpose of this study is to explore the changes, features, and influence factors of sleep quality among the elderly in a ten-year period, providing evidence for sleep-quality enhancement. Methods: The data were obtained from the data of epidemiological sampling surveys on mental disorders in Shandong province in 2004 and 2015. A total of 4451 subjects (aged ≥ 60 years) in 2004 and 10,894 subjects (aged ≥ 60 years) in 2015 were selected by the multistage stratified sampling method. The demographic information and Pittsburgh Sleep Quality Index (PSQI) were collected. Results: The adjusted 1-month prevalence of poor sleep in 2015 was 22.5% (95% CI:21.7–23.3), which is lower than that in 2004 (24.8%) (95% CI:23.5–26.0, p = 0.002). The total score of the PSQI in 2015 (4.74 ± 3.96) was lower than that in 2004 (4.97 ± 4.18, p = 0.002). In 2015, a binary multi-factor logistic and stepwise regression analysis showed that being female, living in a rural area, living alone, being older, spending less years in school, and being jobless/unemployed made the participants more likely to develop poor sleep (p < 0.05, p < 0.01). Conclusions: In 2015, the overall sleep quality of the elderly (aged ≥ 60) in Shandong province was significantly improved compared to 2004. After more than 10 years, the characteristics of the elderly with sleep disturbances in Shandong province has changed. Therefore, more attention should be paid to gender, location of residence (rural or urban), living arrangement, age, education, occupation, and other factors to improve the sleep quality of the elderly. MDPI 2022-11-01 /pmc/articles/PMC9656170/ /pubmed/36361172 http://dx.doi.org/10.3390/ijerph192114296 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yue, Zenghe Zhang, Yi Cheng, Xiaojing Zhang, Jingxuan Sleep Quality among the Elderly in 21st Century Shandong Province, China: A Ten-Year Comparative Study |
title | Sleep Quality among the Elderly in 21st Century Shandong Province, China: A Ten-Year Comparative Study |
title_full | Sleep Quality among the Elderly in 21st Century Shandong Province, China: A Ten-Year Comparative Study |
title_fullStr | Sleep Quality among the Elderly in 21st Century Shandong Province, China: A Ten-Year Comparative Study |
title_full_unstemmed | Sleep Quality among the Elderly in 21st Century Shandong Province, China: A Ten-Year Comparative Study |
title_short | Sleep Quality among the Elderly in 21st Century Shandong Province, China: A Ten-Year Comparative Study |
title_sort | sleep quality among the elderly in 21st century shandong province, china: a ten-year comparative study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656170/ https://www.ncbi.nlm.nih.gov/pubmed/36361172 http://dx.doi.org/10.3390/ijerph192114296 |
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