The contribution of musculoskeletal factors to physical frailty: a cross-sectional study.
Ageing
Frailty
Lean mass
Osteoporosis
Osteosarcopenia
Physical performance
Sarcopenia
Journal
BMC musculoskeletal disorders
ISSN: 1471-2474
Titre abrégé: BMC Musculoskelet Disord
Pays: England
ID NLM: 100968565
Informations de publication
Date de publication:
01 Nov 2021
01 Nov 2021
Historique:
received:
26
01
2021
accepted:
11
10
2021
entrez:
2
11
2021
pubmed:
3
11
2021
medline:
4
11
2021
Statut:
epublish
Résumé
Musculoskeletal conditions and physical frailty have overlapping constructs. We aimed to quantify individual contributions of musculoskeletal factors to frailty. Participants included 347 men and 360 women aged ≥60 yr (median ages; 70.8 (66.1-78.6) and 71.0 (65.2-77.5), respectively) from the Geelong Osteoporosis Study. Frailty was defined as ≥3, pre-frail 1-2, and robust 0, of the following; unintentional weight loss, weakness, low physical activity, exhaustion, and slowness. Measures were made of femoral neck BMD, appendicular lean mass index (ALMI, kg/m Overall, 54(15.6%) men and 62(17.2%) women were frail. In adjusted-binary logistic models, SI, ALMI and HGS were associated with frailty in men (OR = 0.73, 95%CI 0.53-1.01; OR=0.48, 0.34-0.68; and OR = 0.11, 0.06-0.22; respectively). Muscle measures (ALMI and HGS) contributed more to this association than did bone (SI) (AUROCs 0.77, 0.85 vs 0.71, respectively). In women, only HGS was associated with frailty in adjusted models (OR = 0.30 95%CI 0.20-0.45, AUROC = 0.83). In adjusted ordinal models, similar results were observed in men; for women, HGS and ALMI were associated with frailty (ordered OR = 0.30 95%CI 0.20-0.45; OR = 0.56, 0.40-0.80, respectively). Muscle deficits appeared to contribute more than bone deficits to frailty. This may have implications for identifying potential musculoskeletal targets for preventing or managing the progression of frailty.
Sections du résumé
BACKGROUND
BACKGROUND
Musculoskeletal conditions and physical frailty have overlapping constructs. We aimed to quantify individual contributions of musculoskeletal factors to frailty.
METHODS
METHODS
Participants included 347 men and 360 women aged ≥60 yr (median ages; 70.8 (66.1-78.6) and 71.0 (65.2-77.5), respectively) from the Geelong Osteoporosis Study. Frailty was defined as ≥3, pre-frail 1-2, and robust 0, of the following; unintentional weight loss, weakness, low physical activity, exhaustion, and slowness. Measures were made of femoral neck BMD, appendicular lean mass index (ALMI, kg/m
RESULTS
RESULTS
Overall, 54(15.6%) men and 62(17.2%) women were frail. In adjusted-binary logistic models, SI, ALMI and HGS were associated with frailty in men (OR = 0.73, 95%CI 0.53-1.01; OR=0.48, 0.34-0.68; and OR = 0.11, 0.06-0.22; respectively). Muscle measures (ALMI and HGS) contributed more to this association than did bone (SI) (AUROCs 0.77, 0.85 vs 0.71, respectively). In women, only HGS was associated with frailty in adjusted models (OR = 0.30 95%CI 0.20-0.45, AUROC = 0.83). In adjusted ordinal models, similar results were observed in men; for women, HGS and ALMI were associated with frailty (ordered OR = 0.30 95%CI 0.20-0.45; OR = 0.56, 0.40-0.80, respectively).
CONCLUSION
CONCLUSIONS
Muscle deficits appeared to contribute more than bone deficits to frailty. This may have implications for identifying potential musculoskeletal targets for preventing or managing the progression of frailty.
Identifiants
pubmed: 34724934
doi: 10.1186/s12891-021-04795-4
pii: 10.1186/s12891-021-04795-4
pmc: PMC8561908
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
921Informations de copyright
© 2021. The Author(s).
Références
Osteoporos Int. 2013 Apr;24(4):1369-77
pubmed: 22814945
J Am Geriatr Soc. 2006 Jun;54(6):991-1001
pubmed: 16776798
J Am Geriatr Soc. 1991 Feb;39(2):142-8
pubmed: 1991946
J Gerontol A Biol Sci Med Sci. 2013 Apr;68(4):441-6
pubmed: 22987796
J Cachexia Sarcopenia Muscle. 2020 Jun;11(3):690-697
pubmed: 32061063
Calcif Tissue Int. 2015 Dec;97(6):568-76
pubmed: 26319674
Front Endocrinol (Lausanne). 2019 Apr 24;10:255
pubmed: 31068903
Osteoporos Int. 2018 Oct;29(10):2191-2199
pubmed: 29947868
J Gerontol A Biol Sci Med Sci. 2007 Jul;62(7):722-7
pubmed: 17634318
Nestle Nutr Inst Workshop Ser. 2015;83:65-9
pubmed: 26484770
Calcif Tissue Int. 2020 Sep;107(3):220-229
pubmed: 32617612
BMC Musculoskelet Disord. 2017 Jan 26;18(1):46
pubmed: 28125982
Australas Radiol. 2004 Dec;48(4):473-5
pubmed: 15601326
Lancet. 2013 Mar 2;381(9868):752-62
pubmed: 23395245
Med Sci Sports Exerc. 1991 Aug;23(8):974-9
pubmed: 1956274
J Cachexia Sarcopenia Muscle. 2015 Dec;6(4):278-86
pubmed: 26675566
Front Aging Neurosci. 2014 Jul 28;6:192
pubmed: 25120482
J Chronic Dis. 1987;40(5):373-83
pubmed: 3558716
Br Med Bull. 2010;95:139-59
pubmed: 20200012
Best Pract Res Clin Rheumatol. 2014 Jun;28(3):395-410
pubmed: 25481423
Age Ageing. 2010 Jul;39(4):412-23
pubmed: 20392703
J Am Med Dir Assoc. 2013 Jun;14(6):392-7
pubmed: 23764209
Osteoporos Int. 2014 Feb;25(2):763-8
pubmed: 24002542
Int J Epidemiol. 2012 Dec;41(6):1565-75
pubmed: 23283714
Bone. 2011 Apr 1;48(4):952-7
pubmed: 21195216
Aust N Z J Med. 1999 Apr;29(2):203-6
pubmed: 10342018
J Clin Densitom. 2006 Jul-Sep;9(3):309-14
pubmed: 16931349
J Gerontol A Biol Sci Med Sci. 2001 Mar;56(3):M146-56
pubmed: 11253156
Age Ageing. 2017 Jul 1;46(4):635-641
pubmed: 27852598
Osteoporos Int. 2009 Nov;20(11):1837-46
pubmed: 19294329
Geriatr Nurs. 2009 Jan-Feb;30(1):64-70
pubmed: 19226689
Aging Clin Exp Res. 2017 Aug;29(4):721-728
pubmed: 27568018
BMC Geriatr. 2020 Jun 5;20(1):196
pubmed: 32503454
Osteoporos Int. 2010 Jun;21(6):909-17
pubmed: 19707703
J Gerontol. 1990 May;45(3):M82-8
pubmed: 2335723
Aust Fam Physician. 2017 Nov;46(11):849-853
pubmed: 29101922
Nephrol Dial Transplant. 1999 Aug;14(8):1917-21
pubmed: 10462271
Calcif Tissue Int. 2014 Apr;94(4):363-72
pubmed: 24390582