José Luis Maté-Muñoz
Profesor Ayudante Doctor
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About
José Luis Maté-Muñoz is a Profesor Ayudante Doctor at Universidad Complutense de Madrid, Spain. His research interests include biomechanics in sports, exercise interventions for cancer survivors, and the assessment of physical activity in various populations. Recent publications highlight his work on wearable sensor technology in rugby, the impacts of supervised exercise on cancer-related fatigue, and the assessment of gait parameters in clinical settings.
Articles (22)
Year:
2025
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2025
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2025
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2025
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2025
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2025
Background: Sarcopenia is defined as a loss of muscle mass, strength, and physical function associated with aging. It is due to a combination of genetic, environmental, and physiological factors. It is also associated with an increased risk of health problems. Since there are many different researchers in the field, with their own algorithms and cut-off points, there is no single criterion for diagnosis. This review aims to compare the prevalence of sarcopenia according to these different diagnostic criteria in older adult populations by age group and sex. Methods: Different databases were searched: Web of Science, Pubmed, Dialnet, Scopus, and Cochrane. The keywords used were “sarcopenia”, “diagnosis”, “prevalence”, “assessment”, “aged”, “aging” and “older”. Studies conducted in a population aged ≥65 assessing the prevalence of sarcopenia were selected. Results: Nineteen articles met the inclusion criteria, with a total of 33,515 subjects, 38.08% female and 61.42% male, at a mean age of 74.52. The diagnostic algorithms used were 52.63% AWGS2, 21.05% EWGSOP2, 10.53% AWGS1 and EWGS1, and 5.26% FNIH. Prevalence ranged from 1.7% to 37.47%, but was higher in males and increased with age. Conclusions: The prevalence of sarcopenia varies depending on the diagnostic algorithm used, but it increases with age and is higher in men. The EWGSOP2 and AWGS2 are the most used diagnostic criteria and measure the same variables but have different cut-off points. Of these two diagnostic algorithms, the one with the highest prevalence of sarcopenia and severe sarcopenia is the AWGS2. These differences may be due to the use of different tools and cut-off points. Therefore, a universal diagnostic criterion should be developed to allow early diagnosis of sarcopenia.
Year:
2024
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2024
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2024
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2024
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2024
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2023
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2023
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2023
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2023
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2022
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2022
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2022
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2022
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2022
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2022
Year:
2022
Collaborators (18)
Diego Muriarte
Profesor Ayudante Doctor
Universidad Politécnica de Madrid
Ángela Aguilera
Universidad Rey Juan Carlos
Juan Pablo Hervás-Pérez
Universidad Camilo José Cela
Irene Zapata
Universidad Alfonso X el Sabio
Luis Maicas
Profesor
Universidad Internacional de La Rioja
Francisco Hermosilla Perona
Universidad Rey Juan Carlos Facultad de Ciencias de la Salud
Hugo Espinosa
Griffith University
Jose Javier López Marcos
Profesor Ayudante Doctor
Universidad Complutense de Madrid
Samuel Fernández-Carnero
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Juan Hernández-Lougedo
Universidad Camilo José Cela
Maria del Carmen Lozano Estevan
Universidad Complutense de Madrid Facultad de Medicina
JUAN RAMON HEREDIA ELVAR
Profesor
Universidad Alfonso X el Sabio
Teresa Carbonell
Assitant Professor
University of Barcelona
Norma Alva
Universitat de Barcelona Facultat de Biologia
Pablo García-Fernández
Universidad Complutense de Madrid
Patricia Martín-Casas
Professor
Universidad Complutense de Madrid
Juan José Ramos-Álvarez
Profesor Contratado Doctor
Universidad Complutense de Madrid
CRISTINA MARTÍNEZ ROLDÁN
Profesora
Universidad Camilo José Cela
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