Relationships between muscle parameters and history of falls and fractures in the Hertfordshire Cohort Study: do all muscle components relate equally to clinical outcomes?
Relationships between muscle parameters and history of falls and fractures in the Hertfordshire Cohort Study: do all muscle components relate equally to clinical outcomes?
In previous work, relationships between muscle and bone size and strength have been demonstrated and were stronger in females, suggesting possible sexual dimorphism. Here we examine sex-specific associations between individual muscle sarcopenia components with clinical outcomes (falls and fractures). 641 participants were recruited. Muscle mass was assessed as cross-sectional area (CSA) by peripheral quantitative computed tomography of the calf, grip strength (GpS) by Jamar dynamometry and function by gait speed (GtS). Falls and fractures were self-reported. Ordinal and logistic regression were used to examine the associations between muscle measurements and outcomes with and without adjustment for confounders. Mean (SD) age was 69.3 (2.6) years. CSA, GpS, and GtS were greater among males (p < 0.002). A higher proportion of females had fallen since age 45 (61.3% vs 40.2%, p < 0.001); in the last year (19.9% vs 14.1%, p = 0.053); and reported a previous fracture since age 45 (21.8% vs 18.5%, p = 0.302), than males. Among females, greater CSA was related to reduced risk of falling and fewer falls in the previous year in fully adjusted analysis only (p < 0.05); higher GpS was related to lower risk of falls since age 45 in unadjusted analysis (p = 0.045) and lower risk of fracture since age 45 in both unadjusted and fully adjusted analysis (p < 0.045). No statistically significant associations were observed for GtS among either sex for any relationships between muscle measurements and clinical outcomes studied. We observed relationships between muscle mass and strength but not function with falls and fractures in females only; further longitudinal studies are required to reproduce these results.
Falls, Fractures, Gait speed, Muscle mass, Muscle strength, Sarcopenia
242-247
Laskou, Faidra
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Westbury, Leo
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Fuggle, Nicholas
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Edwards, Mark
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Cooper, Cyrus
e05f5612-b493-4273-9b71-9e0ce32bdad6
Dennison, Elaine
ee647287-edb4-4392-8361-e59fd505b1d1
September 2022
Laskou, Faidra
3959d6e2-ccfa-4d97-8311-16f27b893365
Westbury, Leo
5ed45df3-3df7-4bf9-bbad-07b63cd4b281
Fuggle, Nicholas
9ab0c81a-ac67-41c4-8860-23e0fdb1a900
Edwards, Mark
06c1db44-4341-455e-8812-0ab4a1043828
Cooper, Cyrus
e05f5612-b493-4273-9b71-9e0ce32bdad6
Dennison, Elaine
ee647287-edb4-4392-8361-e59fd505b1d1
Laskou, Faidra, Westbury, Leo, Fuggle, Nicholas, Edwards, Mark, Cooper, Cyrus and Dennison, Elaine
(2022)
Relationships between muscle parameters and history of falls and fractures in the Hertfordshire Cohort Study: do all muscle components relate equally to clinical outcomes?
Calcified Tissue International, 111 (3), .
(doi:10.1007/s00223-022-00986-w).
Abstract
In previous work, relationships between muscle and bone size and strength have been demonstrated and were stronger in females, suggesting possible sexual dimorphism. Here we examine sex-specific associations between individual muscle sarcopenia components with clinical outcomes (falls and fractures). 641 participants were recruited. Muscle mass was assessed as cross-sectional area (CSA) by peripheral quantitative computed tomography of the calf, grip strength (GpS) by Jamar dynamometry and function by gait speed (GtS). Falls and fractures were self-reported. Ordinal and logistic regression were used to examine the associations between muscle measurements and outcomes with and without adjustment for confounders. Mean (SD) age was 69.3 (2.6) years. CSA, GpS, and GtS were greater among males (p < 0.002). A higher proportion of females had fallen since age 45 (61.3% vs 40.2%, p < 0.001); in the last year (19.9% vs 14.1%, p = 0.053); and reported a previous fracture since age 45 (21.8% vs 18.5%, p = 0.302), than males. Among females, greater CSA was related to reduced risk of falling and fewer falls in the previous year in fully adjusted analysis only (p < 0.05); higher GpS was related to lower risk of falls since age 45 in unadjusted analysis (p = 0.045) and lower risk of fracture since age 45 in both unadjusted and fully adjusted analysis (p < 0.045). No statistically significant associations were observed for GtS among either sex for any relationships between muscle measurements and clinical outcomes studied. We observed relationships between muscle mass and strength but not function with falls and fractures in females only; further longitudinal studies are required to reproduce these results.
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Muscle parameters_falls_fractures_revised_final
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Accepted/In Press date: 26 April 2022
Published date: September 2022
Additional Information:
Funding Information:
FL is supported by the NIHR Southampton Biomedical Research Centre, and the University of Southampton. This report is independent research and the views expressed in this publication are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health. These funding bodies had no role in writing of the manuscript or decision to submit for publication.
Funding Information:
EMD declares consultancy and speaker fees from Pfizer, UCB, Viatris and Lilly. CC has received lecture fees and honoraria from Amgen, Danone, Eli Lilly, GSK, Kyowa Kirin, Medtronic, Merck, Nestlé, Novartis, Pfizer, Roche, Servier, Shire, Takeda and UCB outside of the submitted work. MHE declares conference and course attendance funding from Eli Lilly, other from UCB, other from Pfizer, other from Chugai, other from AbbVie and an unrestricted project grant from Servier. NRF declares travel bursaries from Pfizer and Eli Lilly. LDW and LF declare no conflicts of interest.
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© 2022, The Author(s).
Keywords:
Falls, Fractures, Gait speed, Muscle mass, Muscle strength, Sarcopenia
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Local EPrints ID: 457084
URI: http://eprints.soton.ac.uk/id/eprint/457084
ISSN: 0171-967X
PURE UUID: bc2fabb5-4570-4b63-8f42-7cce941b597a
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Date deposited: 23 May 2022 17:01
Last modified: 12 Nov 2024 05:05
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Author:
Faidra Laskou
Author:
Mark Edwards
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