José Luis Maté-Muñoz

Profesor Ayudante Doctor

Universidad Complutense de Madrid
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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

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (18)

Diego Muriarte

Profesor Ayudante Doctor

Universidad Politécnica de Madrid

SPAIN
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Ángela Aguilera

Universidad Rey Juan Carlos

SPAIN
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Juan Pablo Hervás-Pérez

Universidad Camilo José Cela

SPAIN
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Irene Zapata

Universidad Alfonso X el Sabio

SPAIN
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Luis Maicas

Profesor

Universidad Internacional de La Rioja

SPAIN
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Francisco Hermosilla Perona

Universidad Rey Juan Carlos Facultad de Ciencias de la Salud

SPAIN
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Hugo Espinosa

Griffith University

AUSTRALIA
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Jose Javier López Marcos

Profesor Ayudante Doctor

Universidad Complutense de Madrid

SPAIN
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Samuel Fernández-Carnero

-

SPAIN
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Juan Hernández-Lougedo

Universidad Camilo José Cela

SPAIN
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Maria del Carmen Lozano Estevan

Universidad Complutense de Madrid Facultad de Medicina

SPAIN
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JUAN RAMON HEREDIA ELVAR

Profesor

Universidad Alfonso X el Sabio

SPAIN
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Teresa Carbonell

Assitant Professor

University of Barcelona

SPAIN
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Norma Alva

Universitat de Barcelona Facultat de Biologia

SPAIN
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Pablo García-Fernández

Universidad Complutense de Madrid

SPAIN
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Patricia Martín-Casas

Professor

Universidad Complutense de Madrid

SPAIN
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Juan José Ramos-Álvarez

Profesor Contratado Doctor

Universidad Complutense de Madrid

SPAIN
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CRISTINA MARTÍNEZ ROLDÁN

Profesora

Universidad Camilo José Cela

SPAIN
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