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-sectio...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Journal of Clinical Medicine |
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| Online Access: | https://www.mdpi.com/2077-0383/10/7/1352 |
| _version_ | 1797540100208328704 |
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| author | Sandra Agyapong-Badu Martin B. Warner Dinesh Samuel Vasiliki Koutra Maria Stokes |
| author_facet | Sandra Agyapong-Badu Martin B. Warner Dinesh Samuel Vasiliki Koutra Maria Stokes |
| author_sort | Sandra Agyapong-Badu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T12:55:18Z |
| format | Article |
| id | doaj.art-94d4fd6d6eef457b8748cf9dd8e29671 |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-10T12:55:18Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-94d4fd6d6eef457b8748cf9dd8e296712023-11-21T11:56:15ZengMDPI AGJournal of Clinical Medicine2077-03832021-03-01107135210.3390/jcm10071352Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and GenderSandra Agyapong-Badu0Martin B. Warner1Dinesh Samuel2Vasiliki Koutra3Maria Stokes4School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham B15 2TT, UKSchool of Health Sciences, University of Southampton, Southampton SO17 1BJ, UKSchool of Health Sciences, University of Southampton, Southampton SO17 1BJ, UKSchool of Health Sciences, University of Southampton, Southampton SO17 1BJ, UKSchool of Health Sciences, University of Southampton, Southampton SO17 1BJ, UKA 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.https://www.mdpi.com/2077-0383/10/7/1352ageingmusculoskeletal healthphysical functionphysical frailtyscreening |
| spellingShingle | Sandra Agyapong-Badu Martin B. Warner Dinesh Samuel Vasiliki Koutra Maria Stokes Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender Journal of Clinical Medicine ageing musculoskeletal health physical function physical frailty screening |
| title | Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender |
| title_full | Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender |
| title_fullStr | Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender |
| title_full_unstemmed | Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender |
| title_short | Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender |
| title_sort | non invasive biomarkers of musculoskeletal health with high discriminant ability for age and gender |
| topic | ageing musculoskeletal health physical function physical frailty screening |
| url | https://www.mdpi.com/2077-0383/10/7/1352 |
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