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Relationship between sleep pattern and bone mineral density in patients with osteoporotic fracture

BACKGROUND: Evidence investigating sleep pattern in relation to bone health in elderly participants with osteoporosis remains sparse. We aimed to assess the relationship between sleep pattern incorporating five sleep characteristics (snoring, midnight waking up, insomnia, sleep duration, and daytime...

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Autores principales: Zeng, Haobin, Li, Likang, Zhang, Bo, Xu, Xu, Li, Guowei, Chen, Maoshui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9234824/
https://www.ncbi.nlm.nih.gov/pubmed/35770185
http://dx.doi.org/10.1177/20420188221106884
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author Zeng, Haobin
Li, Likang
Zhang, Bo
Xu, Xu
Li, Guowei
Chen, Maoshui
author_facet Zeng, Haobin
Li, Likang
Zhang, Bo
Xu, Xu
Li, Guowei
Chen, Maoshui
author_sort Zeng, Haobin
collection PubMed
description BACKGROUND: Evidence investigating sleep pattern in relation to bone health in elderly participants with osteoporosis remains sparse. We aimed to assess the relationship between sleep pattern incorporating five sleep characteristics (snoring, midnight waking up, insomnia, sleep duration, and daytime napping) and bone mineral density (BMD) in elderly participants with osteoporotic fracture. METHODS: A cross-sectional study was conducted to include eligible elderly patients from the Department of Orthopedics who were admitted to hospital due to an osteoporotic fracture. Sleep pattern was constructed based on total sleep scores and categorized into healthy, intermediate, and poor pattern groups. Multivariable logistic regression model was used to assess sleep pattern in relation to risk of low BMD. RESULTS: A total of 169 elderly patients with osteoporotic fracture were included in this study (mean age: 71.91 years; 87.57% females). There were 36 (21.30%), 107 (63.31%), and 26 (15.38%) patients with healthy, intermediate, and poor sleep pattern, respectively. Compared with healthy sleep pattern, no significant relationship between intermediate sleep pattern and BMD was detected [odds ratio (OR) = 1.72, 95% confidence interval (CI): 0.74, 3.97, p = 0.21), while poor pattern was significantly associated with decreased BMD (OR = 3.50, 95% CI: 1.10, 11.14, p = 0.034). CONCLUSION: The majority of elderly patients with osteoporotic fracture had unhealthy sleep pattern; poor sleep pattern was significantly related to reduced BMD when compared with healthy pattern. Further high-quality evidence is needed to assess and validate the relationship between sleep pattern and risk of low BMD in the elderly.
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spelling pubmed-92348242022-06-28 Relationship between sleep pattern and bone mineral density in patients with osteoporotic fracture Zeng, Haobin Li, Likang Zhang, Bo Xu, Xu Li, Guowei Chen, Maoshui Ther Adv Endocrinol Metab Original Research BACKGROUND: Evidence investigating sleep pattern in relation to bone health in elderly participants with osteoporosis remains sparse. We aimed to assess the relationship between sleep pattern incorporating five sleep characteristics (snoring, midnight waking up, insomnia, sleep duration, and daytime napping) and bone mineral density (BMD) in elderly participants with osteoporotic fracture. METHODS: A cross-sectional study was conducted to include eligible elderly patients from the Department of Orthopedics who were admitted to hospital due to an osteoporotic fracture. Sleep pattern was constructed based on total sleep scores and categorized into healthy, intermediate, and poor pattern groups. Multivariable logistic regression model was used to assess sleep pattern in relation to risk of low BMD. RESULTS: A total of 169 elderly patients with osteoporotic fracture were included in this study (mean age: 71.91 years; 87.57% females). There were 36 (21.30%), 107 (63.31%), and 26 (15.38%) patients with healthy, intermediate, and poor sleep pattern, respectively. Compared with healthy sleep pattern, no significant relationship between intermediate sleep pattern and BMD was detected [odds ratio (OR) = 1.72, 95% confidence interval (CI): 0.74, 3.97, p = 0.21), while poor pattern was significantly associated with decreased BMD (OR = 3.50, 95% CI: 1.10, 11.14, p = 0.034). CONCLUSION: The majority of elderly patients with osteoporotic fracture had unhealthy sleep pattern; poor sleep pattern was significantly related to reduced BMD when compared with healthy pattern. Further high-quality evidence is needed to assess and validate the relationship between sleep pattern and risk of low BMD in the elderly. SAGE Publications 2022-06-24 /pmc/articles/PMC9234824/ /pubmed/35770185 http://dx.doi.org/10.1177/20420188221106884 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Zeng, Haobin
Li, Likang
Zhang, Bo
Xu, Xu
Li, Guowei
Chen, Maoshui
Relationship between sleep pattern and bone mineral density in patients with osteoporotic fracture
title Relationship between sleep pattern and bone mineral density in patients with osteoporotic fracture
title_full Relationship between sleep pattern and bone mineral density in patients with osteoporotic fracture
title_fullStr Relationship between sleep pattern and bone mineral density in patients with osteoporotic fracture
title_full_unstemmed Relationship between sleep pattern and bone mineral density in patients with osteoporotic fracture
title_short Relationship between sleep pattern and bone mineral density in patients with osteoporotic fracture
title_sort relationship between sleep pattern and bone mineral density in patients with osteoporotic fracture
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9234824/
https://www.ncbi.nlm.nih.gov/pubmed/35770185
http://dx.doi.org/10.1177/20420188221106884
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