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The impact of socioeconomic status and sleep quality on the prevalence of multimorbidity in older adults
INTRODUCTION: Multimorbidity has become a global public health concern that can cause serious damage to the health status of older adults. This study aimed to investigate the impact of socioeconomic status (SES) and sleep quality on the prevalence of multimorbidity in older adults, thus providing a...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548700/ https://www.ncbi.nlm.nih.gov/pubmed/36225792 http://dx.doi.org/10.3389/fpubh.2022.959700 |
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author | Xue, Benli Xue, Yaqing Dong, Fang Zheng, Xiao Shi, Lei Xiao, Shujuan Zhang, Jiachi Ou, Weiyan Wang, Qi Zhang, Chichen |
author_facet | Xue, Benli Xue, Yaqing Dong, Fang Zheng, Xiao Shi, Lei Xiao, Shujuan Zhang, Jiachi Ou, Weiyan Wang, Qi Zhang, Chichen |
author_sort | Xue, Benli |
collection | PubMed |
description | INTRODUCTION: Multimorbidity has become a global public health concern that can cause serious damage to the health status of older adults. This study aimed to investigate the impact of socioeconomic status (SES) and sleep quality on the prevalence of multimorbidity in older adults, thus providing a reference for reducing the risk of the prevalence of multimorbidity and improving the health of older adults. METHODS: A multi-stage random sampling method was used to conduct a questionnaire survey on 3,250 older adults aged 60 years and above in Shanxi Province, China. The chi-square test and multiple logistic regression models were used to analyze the association of SES and sleep quality with the prevalence of multimorbidity of older adults. RESULTS: The prevalence of multimorbidity was 30.31% in older adults aged 60 years and above in Shanxi Province, China. After adjusting for confounders, very low SES (OR = 1.440, 95% CI: 1.083–1.913) and poor sleep quality (OR = 2.445, 95% CI: 2.043–2.927) were associated with the prevalence of multimorbidity. Older adults with low SES and poor sleep quality had the highest risk of the prevalence of multimorbidity (OR = 3.139, 95% CI: 2.288–4.307). CONCLUSIONS: SES and sleep quality are associated with the prevalence of multimorbidity in older adults, and older adults with lower SES and poorer sleep quality are at higher risk for the prevalence of multimorbidity. |
format | Online Article Text |
id | pubmed-9548700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95487002022-10-11 The impact of socioeconomic status and sleep quality on the prevalence of multimorbidity in older adults Xue, Benli Xue, Yaqing Dong, Fang Zheng, Xiao Shi, Lei Xiao, Shujuan Zhang, Jiachi Ou, Weiyan Wang, Qi Zhang, Chichen Front Public Health Public Health INTRODUCTION: Multimorbidity has become a global public health concern that can cause serious damage to the health status of older adults. This study aimed to investigate the impact of socioeconomic status (SES) and sleep quality on the prevalence of multimorbidity in older adults, thus providing a reference for reducing the risk of the prevalence of multimorbidity and improving the health of older adults. METHODS: A multi-stage random sampling method was used to conduct a questionnaire survey on 3,250 older adults aged 60 years and above in Shanxi Province, China. The chi-square test and multiple logistic regression models were used to analyze the association of SES and sleep quality with the prevalence of multimorbidity of older adults. RESULTS: The prevalence of multimorbidity was 30.31% in older adults aged 60 years and above in Shanxi Province, China. After adjusting for confounders, very low SES (OR = 1.440, 95% CI: 1.083–1.913) and poor sleep quality (OR = 2.445, 95% CI: 2.043–2.927) were associated with the prevalence of multimorbidity. Older adults with low SES and poor sleep quality had the highest risk of the prevalence of multimorbidity (OR = 3.139, 95% CI: 2.288–4.307). CONCLUSIONS: SES and sleep quality are associated with the prevalence of multimorbidity in older adults, and older adults with lower SES and poorer sleep quality are at higher risk for the prevalence of multimorbidity. Frontiers Media S.A. 2022-09-26 /pmc/articles/PMC9548700/ /pubmed/36225792 http://dx.doi.org/10.3389/fpubh.2022.959700 Text en Copyright © 2022 Xue, Xue, Dong, Zheng, Shi, Xiao, Zhang, Ou, Wang and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Xue, Benli Xue, Yaqing Dong, Fang Zheng, Xiao Shi, Lei Xiao, Shujuan Zhang, Jiachi Ou, Weiyan Wang, Qi Zhang, Chichen The impact of socioeconomic status and sleep quality on the prevalence of multimorbidity in older adults |
title | The impact of socioeconomic status and sleep quality on the prevalence of multimorbidity in older adults |
title_full | The impact of socioeconomic status and sleep quality on the prevalence of multimorbidity in older adults |
title_fullStr | The impact of socioeconomic status and sleep quality on the prevalence of multimorbidity in older adults |
title_full_unstemmed | The impact of socioeconomic status and sleep quality on the prevalence of multimorbidity in older adults |
title_short | The impact of socioeconomic status and sleep quality on the prevalence of multimorbidity in older adults |
title_sort | impact of socioeconomic status and sleep quality on the prevalence of multimorbidity in older adults |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548700/ https://www.ncbi.nlm.nih.gov/pubmed/36225792 http://dx.doi.org/10.3389/fpubh.2022.959700 |
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