Asosiy kontentga oʻtish
Maqola

Combined Assessment of Body Composition and Neuromuscular Performance in Clinical Practice

Marco A. MinettoDepartment of Surgical Sciences, University of Turin; [email protected]Marta BoccardoDepartment of Surgical Sciences, University of TurinChiara BussoDepartment of Surgical Sciences, University of TurinMarco TruccoAlberto BotterLaboratory for Engineering of the Neuromuscular System (LISiN), Department of Electronics and Telecommunication, Polytechnic of TurinSteven B. HeymsfieldPennington Biomedical Research CentreAngelo PietrobelliPennington Biomedical Research Centre; Department of Surgical Sciences, Dentistry, Gynaecology and Paediatrics, University of Verona
2026en

Ochiq kirish: yoʻq

ABI

Annotatsiya

The assessment of body composition and neuromuscular performance provides valuable information for the clinical management of athletes and diverse patient populations. This protocol describes the combined use of a multifrequency bioelectrical impedance analyzer and a force analyzer to obtain biomarkers of muscle mass and function. The bioelectrical impedance analyzer measures the body's impedance to alternating electrical currents at selected frequencies, enabling the estimation of body composition parameters. The force analyzer detects vertically applied forces during sit-to-stand movements, including single, two-times, or three-times chair stand tests, allowing the evaluation of neuromuscular performance. Both assessments are simple to perform, noninvasive, and provide results quickly through automatically generated reports. The combined analysis of body composition and neuromuscular performance offers a practical approach for characterizing physical performance in athletes and functional and health status in clinical populations. This protocol may facilitate routine monitoring and support individualized training, rehabilitation, and clinical management strategies and outcomes.

Hali tarjima qilinmagan

Identifikatorlar

Iqtiboslar va manbalar

0 ta iqtibos0 ta foydalanilgan manba