Relationship between sleep pattern and bone mineral density in patients with osteoporotic fracture.
bone health
elderly
osteoporosis
sleep pattern
Journal
Therapeutic advances in endocrinology and metabolism
ISSN: 2042-0188
Titre abrégé: Ther Adv Endocrinol Metab
Pays: United States
ID NLM: 101532143
Informations de publication
Date de publication:
2022
2022
Historique:
received:
09
12
2021
accepted:
25
05
2022
entrez:
30
6
2022
pubmed:
1
7
2022
medline:
1
7
2022
Statut:
epublish
Résumé
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. 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. 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, 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.
Sections du résumé
Background
UNASSIGNED
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
UNASSIGNED
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
UNASSIGNED
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,
Conclusion
UNASSIGNED
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.
Identifiants
pubmed: 35770185
doi: 10.1177/20420188221106884
pii: 10.1177_20420188221106884
pmc: PMC9234824
doi:
Types de publication
Journal Article
Langues
eng
Pagination
20420188221106884Informations de copyright
© The Author(s), 2022.
Déclaration de conflit d'intérêts
Conflict of interest statement: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Références
J Am Coll Cardiol. 2021 Sep 21;78(12):1197-1207
pubmed: 34531019
Arch Osteoporos. 2018 Mar 5;13(1):19
pubmed: 29508086
Sleep Med Rev. 2019 Aug;46:87-96
pubmed: 31100467
J Clin Sleep Med. 2006 Jul 15;2(3):333-42
pubmed: 17561549
Endocrine. 2015 Jun;49(2):538-48
pubmed: 25449993
PLoS One. 2017 May 1;12(5):e0176685
pubmed: 28459884
J Pediatr. 2017 Mar;182:137-143
pubmed: 27939122
Sleep Med. 2019 Sep;61:31-36
pubmed: 31300205
Diabetes Care. 2020 Nov;43(11):2776-2784
pubmed: 32847829
Endocr Rev. 2016 Dec;37(6):584-608
pubmed: 27763782
Eur Heart J. 2020 Mar 14;41(11):1182-1189
pubmed: 31848595
Psychiatry Res. 1989 May;28(2):193-213
pubmed: 2748771
Intern Emerg Med. 2019 Jan;14(1):85-102
pubmed: 29948835
J Bone Miner Res. 2020 Feb;35(2):261-268
pubmed: 31692127
Arch Gerontol Geriatr. 2017 May - Jun;70:201-208
pubmed: 28214401
Psychoneuroendocrinology. 2016 Jun;68:91-9
pubmed: 26963375
Sci Rep. 2018 Jul 3;8(1):10016
pubmed: 29968782
Biol Psychiatry. 2016 Jul 1;80(1):40-52
pubmed: 26140821
Int J Environ Res Public Health. 2016 Aug 18;13(8):
pubmed: 27548196
J Clin Endocrinol Metab. 2014 Aug;99(8):2869-77
pubmed: 24848706
Sleep Med. 2016 Sep;25:73-77
pubmed: 27823720
J Bone Miner Res. 2020 Nov;35(11):2143-2150
pubmed: 32909307
Lancet Healthy Longev. 2021 Sep;2(9):e580-e592
pubmed: 34723233
J Clin Endocrinol Metab. 2020 Mar 1;105(3):
pubmed: 32068863
JAMA. 2012 Jun 6;307(21):2295-304
pubmed: 22706835
Osteoporos Int. 2021 May;32(5):853-863
pubmed: 33245373
J Clin Epidemiol. 1996 Dec;49(12):1373-9
pubmed: 8970487
Bone. 2011 Nov;49(5):1062-6
pubmed: 21864732