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Non-invasive biomarkers of musculoskeletal health with high discriminant ability for age and gender

Non-invasive biomarkers of musculoskeletal health with high discriminant ability for age and gender
Non-invasive biomarkers of musculoskeletal health with high discriminant ability for age and gender
A novel approach to ageing studies assessed the discriminatory ability of a combination of routine physical function tests and novel measures, notably muscle mechanical properties and thigh composition (ultrasound imaging) to classify healthy individuals according to age and gender. The cross-sectional study included 138 community-dwelling, self-reported healthy males and females (65 young, mean age ± SD = 25.7 ± 4.8 years; 73 older, 74.9 ± 5.9 years). Handgrip strength; quadriceps strength; respiratory peak flow; timed up and go; stair climbing time; anterior thigh tissue thickness; muscle stiffness, tone, elasticity (Myoton technology), and self-reported health related quality of life (SF36) were assessed. Stepwise feature selection using cross-validation with linear discriminant analysis was used to classify cases based on criterion variable derived from known effects of age on physical function. A model was trained and features selected using 126 cases with 0.92 accuracy (95% CI = 0.86–0.96; Kappa = 0.89). The final model included five features (peak flow, timed up and go, biceps brachii elasticity, anterior thigh muscle thickness, and percentage thigh muscle) with high sensitivity (0.82–0.96) and specificity (0.94–0.99). The most sensitive novel biomarkers require no volition, highlighting potentially useful tests for screening and monitoring effects of interventions on musculoskeletal health for vulnerable older people with pain or cognitive impairment.
Ageing, Musculoskeletal health, Physical frailty, Physical function, Screening
Agyapong-Badu, Sandra
8a3f8a11-e4b7-48fe-8730-1bc966eba816
Warner, Martin
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Samuel, Dinesh
03b00738-9b9c-4c0a-a85a-cf43fc0932fc
Koutra, Vasiliki
6144ae2e-5f25-4713-900b-bdf34af7a7c2
Stokes, Maria
71730503-70ce-4e67-b7ea-a3e54579717f
Agyapong-Badu, Sandra
8a3f8a11-e4b7-48fe-8730-1bc966eba816
Warner, Martin
f4dce73d-fb87-4f71-a3f0-078123aa040c
Samuel, Dinesh
03b00738-9b9c-4c0a-a85a-cf43fc0932fc
Koutra, Vasiliki
6144ae2e-5f25-4713-900b-bdf34af7a7c2
Stokes, Maria
71730503-70ce-4e67-b7ea-a3e54579717f

Agyapong-Badu, Sandra, Warner, Martin, Samuel, Dinesh, Koutra, Vasiliki and Stokes, Maria (2021) Non-invasive biomarkers of musculoskeletal health with high discriminant ability for age and gender. Journal of Clinical Medicine, 10 (7), [1352]. (doi:10.3390/jcm10071352).

Record type: Article

Abstract

A novel approach to ageing studies assessed the discriminatory ability of a combination of routine physical function tests and novel measures, notably muscle mechanical properties and thigh composition (ultrasound imaging) to classify healthy individuals according to age and gender. The cross-sectional study included 138 community-dwelling, self-reported healthy males and females (65 young, mean age ± SD = 25.7 ± 4.8 years; 73 older, 74.9 ± 5.9 years). Handgrip strength; quadriceps strength; respiratory peak flow; timed up and go; stair climbing time; anterior thigh tissue thickness; muscle stiffness, tone, elasticity (Myoton technology), and self-reported health related quality of life (SF36) were assessed. Stepwise feature selection using cross-validation with linear discriminant analysis was used to classify cases based on criterion variable derived from known effects of age on physical function. A model was trained and features selected using 126 cases with 0.92 accuracy (95% CI = 0.86–0.96; Kappa = 0.89). The final model included five features (peak flow, timed up and go, biceps brachii elasticity, anterior thigh muscle thickness, and percentage thigh muscle) with high sensitivity (0.82–0.96) and specificity (0.94–0.99). The most sensitive novel biomarkers require no volition, highlighting potentially useful tests for screening and monitoring effects of interventions on musculoskeletal health for vulnerable older people with pain or cognitive impairment.

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Non-invasive biomarkers of musculoskeletal health with high discriminant ability for age and gender - Accepted Manuscript
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More information

Accepted/In Press date: 19 March 2021
e-pub ahead of print date: 25 March 2021
Published date: 25 March 2021
Additional Information: Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
Keywords: Ageing, Musculoskeletal health, Physical frailty, Physical function, Screening

Identifiers

Local EPrints ID: 448041
URI: http://eprints.soton.ac.uk/id/eprint/448041
PURE UUID: 370bc614-573f-47e3-b27e-86b745f28f74
ORCID for Martin Warner: ORCID iD orcid.org/0000-0002-1483-0561
ORCID for Maria Stokes: ORCID iD orcid.org/0000-0002-4204-0890

Catalogue record

Date deposited: 30 Mar 2021 16:37
Last modified: 26 Nov 2021 02:48

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Contributors

Author: Sandra Agyapong-Badu
Author: Martin Warner ORCID iD
Author: Dinesh Samuel
Author: Vasiliki Koutra
Author: Maria Stokes ORCID iD

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