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https://hdl.handle.net/10216/175757| Author(s): | de Oliveira, GB Fernandes, L Amaral, Teresa Vasques, AC Corona, LP |
| Title: | Association Between Lower-Limb Lean Soft Tissue Assessed by DXA and A-Mode Ultrasound and the Functional Performance of Older Adults |
| Issue Date: | 2026 |
| Abstract: | <title>Abstract</title> <p> <bold>Background/Objectives:</bold> Sarcopenia is a public health concern linked to frailty. Accurate assessment is essential, yet standardization remains a challenge. This study assessed the agreement between Dual-energy X-ray Absorptiometry (DXA) and A-mode Ultrasound (US), evaluating their independent capacity to explain functional performance in community-dwelling older adults. <bold>Subjects/Methods</bold> : This cross-sectional study included 136 adults (60 years). Body composition was measured via DXA (Appendicular Lean Soft Tissue Index, ALST/h²) and A-mode US (Anterior Thigh Muscle Thickness, MT). Functional performance was assessed using the Sit-to-Stand (STS) test (low performance: 15 seconds). Multiple linear regression models, adjusted for age, BMI, and sex, identified predictors of STS time. <bold>Results</bold> : ALST/h² and anterior thigh MT were correlated with STS time (rho=0.317, =<0.001;rho=0.293, =0.002) but weakly correlated with each other (r=0.088, =0.310). The adjusted model explained 25.5% of STS variance (R² Adjusted=0.255, p<0.001). Age was the strongest independent predictor (ß=0.405,p<0.001). The independent contribution of morphological measures was attenuated when age was included in the model. No significant interaction was found between age and ALST/h² (p=0.465) or age and MT (p=0.859). <bold>Conclusion</bold> : Chronological age associates more strongly with functional performance than muscle quantity. Weak agreement between DXA and A-mode US suggests these methods are not interchangeable. While muscle mass and thickness explain little functionality (25%), morphology alone is insufficient to predict performance, likely due to age-related declines in muscle quality (e.g., myosteatosis) that A-mode US cannot distinguish. </p> |
| Subject: | Ciências da Saúde, Ciências médicas e da saúde Health sciences, Medical and Health sciences |
| Scientific areas: | Ciências médicas e da saúde Medical and Health sciences |
| DOI: | 10.21203/rs.3.rs-9161236/v1 |
| URI: | https://hdl.handle.net/10216/175757 |
| Document Type: | Outras Publicações |
| Rights: | restrictedAccess |
| Appears in Collections: | FCNAUP - Outras Publicações |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 786802.pdf Restricted Access | preprint 2026 | 447.86 kB | Adobe PDF | View/Open |
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