The contribution of musculoskeletal factors to physical frailty: a cross-sectional study

Abstract Background Musculoskeletal conditions and physical frailty have overlapping constructs. We aimed to quantify individual contributions of musculoskeletal factors to frailty. 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), r...

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Autores principales:	Monica C. Tembo, Mohammadreza Mohebbi, Kara L. Holloway-Kew, James Gaston, Sophia X. Sui, Sharon L. Brennan-Olsen, Lana J. Williams, Mark A. Kotowicz, Julie A. Pasco
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Ageing Frailty Lean mass Osteoporosis Osteosarcopenia Physical performance Diseases of the musculoskeletal system RC925-935
Acceso en línea:	https://doaj.org/article/9aef25558f7949908545b3c4737976e7
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spelling	oai:doaj.org-article:9aef25558f7949908545b3c4737976e72021-11-08T10:58:28ZThe contribution of musculoskeletal factors to physical frailty: a cross-sectional study10.1186/s12891-021-04795-41471-2474https://doaj.org/article/9aef25558f7949908545b3c4737976e72021-11-01T00:00:00Zhttps://doi.org/10.1186/s12891-021-04795-4https://doaj.org/toc/1471-2474Abstract Background Musculoskeletal conditions and physical frailty have overlapping constructs. We aimed to quantify individual contributions of musculoskeletal factors to frailty. 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/m2) and whole-body fat mass index (FMI, kg/m2) by DXA (Lunar), SOS, BUA and SI at the calcaneus (Lunar Achilles Insight) and handgrip strength by dynamometers. Binary and ordinal logistic regression models and AUROC curves were used to quantify the contribution of musculoskeletal parameters to frailty. Potential confounders included anthropometry, smoking, alcohol, prior fracture, FMI, SES and comorbidities. 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 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.Monica C. TemboMohammadreza MohebbiKara L. Holloway-KewJames GastonSophia X. SuiSharon L. Brennan-OlsenLana J. WilliamsMark A. KotowiczJulie A. PascoBMCarticleAgeingFrailtyLean massOsteoporosisOsteosarcopeniaPhysical performanceDiseases of the musculoskeletal systemRC925-935ENBMC Musculoskeletal Disorders, Vol 22, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Ageing Frailty Lean mass Osteoporosis Osteosarcopenia Physical performance Diseases of the musculoskeletal system RC925-935
spellingShingle	Ageing Frailty Lean mass Osteoporosis Osteosarcopenia Physical performance Diseases of the musculoskeletal system RC925-935 Monica C. Tembo Mohammadreza Mohebbi Kara L. Holloway-Kew James Gaston Sophia X. Sui Sharon L. Brennan-Olsen Lana J. Williams Mark A. Kotowicz Julie A. Pasco The contribution of musculoskeletal factors to physical frailty: a cross-sectional study
description	Abstract Background Musculoskeletal conditions and physical frailty have overlapping constructs. We aimed to quantify individual contributions of musculoskeletal factors to frailty. 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/m2) and whole-body fat mass index (FMI, kg/m2) by DXA (Lunar), SOS, BUA and SI at the calcaneus (Lunar Achilles Insight) and handgrip strength by dynamometers. Binary and ordinal logistic regression models and AUROC curves were used to quantify the contribution of musculoskeletal parameters to frailty. Potential confounders included anthropometry, smoking, alcohol, prior fracture, FMI, SES and comorbidities. 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 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.
format	article
author	Monica C. Tembo Mohammadreza Mohebbi Kara L. Holloway-Kew James Gaston Sophia X. Sui Sharon L. Brennan-Olsen Lana J. Williams Mark A. Kotowicz Julie A. Pasco
author_facet	Monica C. Tembo Mohammadreza Mohebbi Kara L. Holloway-Kew James Gaston Sophia X. Sui Sharon L. Brennan-Olsen Lana J. Williams Mark A. Kotowicz Julie A. Pasco
author_sort	Monica C. Tembo
title	The contribution of musculoskeletal factors to physical frailty: a cross-sectional study
title_short	The contribution of musculoskeletal factors to physical frailty: a cross-sectional study
title_full	The contribution of musculoskeletal factors to physical frailty: a cross-sectional study
title_fullStr	The contribution of musculoskeletal factors to physical frailty: a cross-sectional study
title_full_unstemmed	The contribution of musculoskeletal factors to physical frailty: a cross-sectional study
title_sort	contribution of musculoskeletal factors to physical frailty: a cross-sectional study
publisher	BMC
publishDate	2021
url	https://doaj.org/article/9aef25558f7949908545b3c4737976e7
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The contribution of musculoskeletal factors to physical frailty: a cross-sectional study

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