Luis Maicas
Profesor
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About
Professor Luis Maicas is a faculty member at Universidad Internacional De La Rioja in Spain. His research focuses on the impact of physical activity and nutrition on health outcomes, particularly for individuals with disabilities and older adults. Recent publications include studies on dual-career support systems for student-athletes with disabilities and the efficacy of various strength training protocols. His work also addresses the prevalence of sarcopenia and the effects of creatine supplementation on exercise performance.
Articles (8)
Year:
2025
Year:
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
Year:
2024
Year:
2023
Year:
2022
Year:
2022
Year:
2022
Collaborators (9)
JUAN ALFONSO GARCIA ROCA
Profesor / Doctor
Universidad Católica San Antonio de Murcia
Francisco Hermosilla Perona
Universidad Rey Juan Carlos Facultad de Ciencias de la Salud
Antonino Pereira
Coordinator Professor with Aggregation
Polytechnic Institute of Viseu
Juan Hernández-Lougedo
Universidad Camilo José Cela
Maria del Carmen Lozano Estevan
Universidad Complutense de Madrid Facultad de Medicina
Raquel Vaquero-Cristóbal
Universidad de Murcia
JUAN RAMON HEREDIA ELVAR
Profesor
Universidad Alfonso X el Sabio
Pablo García-Fernández
Universidad Complutense de Madrid
José Luis Maté-Muñoz
Profesor Ayudante Doctor
Universidad Complutense de Madrid
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