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The contribution of musculoskeletal factors to physical frailty: a cross-sectional study
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), respecti...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8561908/ https://www.ncbi.nlm.nih.gov/pubmed/34724934 http://dx.doi.org/10.1186/s12891-021-04795-4 |
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author | Tembo, Monica C. Mohebbi, Mohammadreza Holloway-Kew, Kara L. Gaston, James Sui, Sophia X. Brennan-Olsen, Sharon L. Williams, Lana J. Kotowicz, Mark A. Pasco, Julie A. |
author_facet | Tembo, Monica C. Mohebbi, Mohammadreza Holloway-Kew, Kara L. Gaston, James Sui, Sophia X. Brennan-Olsen, Sharon L. Williams, Lana J. Kotowicz, Mark A. Pasco, Julie A. |
author_sort | Tembo, Monica C. |
collection | PubMed |
description | 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/m(2)) and whole-body fat mass index (FMI, kg/m(2)) 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-021-04795-4. |
format | Online Article Text |
id | pubmed-8561908 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85619082021-11-03 The contribution of musculoskeletal factors to physical frailty: a cross-sectional study Tembo, Monica C. Mohebbi, Mohammadreza Holloway-Kew, Kara L. Gaston, James Sui, Sophia X. Brennan-Olsen, Sharon L. Williams, Lana J. Kotowicz, Mark A. Pasco, Julie A. BMC Musculoskelet Disord Research 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/m(2)) and whole-body fat mass index (FMI, kg/m(2)) 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-021-04795-4. BioMed Central 2021-11-01 /pmc/articles/PMC8561908/ /pubmed/34724934 http://dx.doi.org/10.1186/s12891-021-04795-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Tembo, Monica C. Mohebbi, Mohammadreza Holloway-Kew, Kara L. Gaston, James Sui, Sophia X. Brennan-Olsen, Sharon L. Williams, Lana J. Kotowicz, Mark A. Pasco, Julie A. The contribution of musculoskeletal factors to physical frailty: a cross-sectional study |
title | 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_short | 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 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8561908/ https://www.ncbi.nlm.nih.gov/pubmed/34724934 http://dx.doi.org/10.1186/s12891-021-04795-4 |
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