Statistical index for the diagnosis of sarcopenia in physically active women over 60 years old: a cross-sectional study

ABSTRACT: Objective: The detection and classification of sarcopenia involves the analysis of many variables (50 to 60), which increases the time and costs required to diagnose and manage this condition. The objective of the study was to develop a synthetic statistical index to diagnose and classify...

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Autores:
Ramírez Villada, Jhon Fredy
Arango Paternina, Carlos Mario
Zea Castro, José Fernando
Tibaduiza Romero, Annie Alejandra
Tipo de recurso:
Article of investigation
Fecha de publicación:
2024
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/44425
Acceso en línea:
https://hdl.handle.net/10495/44425
Palabra clave:
Composición Corporal
Body Composition
Fuerza de la Mano
Hand Strength
Dynapenia
Explosive strength
https://id.nlm.nih.gov/mesh/D001823
https://id.nlm.nih.gov/mesh/D018737
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-sa/4.0/
Description
Summary:ABSTRACT: Objective: The detection and classification of sarcopenia involves the analysis of many variables (50 to 60), which increases the time and costs required to diagnose and manage this condition. The objective of the study was to develop a synthetic statistical index to diagnose and classify sarcopenia in physically active women over 60 years old. Methodology: We conducted a cross-sectional study on 100 physically active women (64.88 ±4.4 years) on whom body composition measurements, muscle strength, and gait tests were performed. One thousand random selections of both training and test sets (80% and 20%, respectively) were made, logistic regression was fitted, and the regularization procedure (Elastic net regression) was performed. Results: the skeletal appendicular mass index (kg/m2), muscle mass (kg/m2) and SAMI (kg/m2) are highly correlated (0.93) and slow gait speed (m/sec) were the variables that contributed the most to the diagnosis of sarcopenia with a visibly high correlation, (94%). Conclusion: appendicular lean mass, gait speed, and explosive strength sufficiently describe the state of muscle and functional deterioration (sarcopenia) in physically active older women. Also, the precise identification and classification of this condition facilitates comprehensive multidisciplinary intervention, increasing the positive impact of health promotion and disease prevention programs