Jacob Mota
Assistant Professor
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About
Jacob Mota is an Assistant Professor at Texas Tech University in the United States. His research focuses on firefighter health and performance, examining topics such as body composition, exercise testing, and recovery strategies. Recent articles by Dr. Mota delve into the impact of age and service duration on firefighter performance, as well as methods for assessing muscle size and quality. He contributes to enhancing the fitness standards and health strategies for professionals in the fire service.
Articles (16)
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Quantifying skeletal muscle size is necessary to identify those at risk for conditions that increase frailty, morbidity, and mortality, as well as decrease quality of life. Although muscle strength, muscle quality, and physical performance have been suggested as important assessments in the screening, prevention, and management of sarcopenic and cachexic individuals, skeletal muscle size is still a critical objective marker. Several techniques exist for estimating skeletal muscle size; however, each technique presents with unique characteristics regarding simplicity/complexity, cost, radiation dose, accessibility, and portability that are important factors for assessors to consider before applying these modalities in practice. This narrative review presents a discussion centred on the theory and applications of current non‐invasive techniques for estimating skeletal muscle size in diverse populations. Common instruments for skeletal muscle assessment include imaging techniques such as computed tomography, magnetic resonance imaging, peripheral quantitative computed tomography, dual‐energy X‐ray absorptiometry, and Brightness‐mode ultrasound, and non‐imaging techniques like bioelectrical impedance analysis and anthropometry. Skeletal muscle size can be acquired from these methods using whole‐body and/or regional assessments, as well as prediction equations. Notable concerns when conducting assessments include the absence of standardised image acquisition/processing protocols and the variation in cut‐off thresholds used to define low skeletal muscle size by clinicians and researchers, which could affect the accuracy and prevalence of diagnoses. Given the importance of evaluating skeletal muscle size, it is imperative practitioners are informed of each technique and their respective strengths and weaknesses.
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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2024
Year:
2023
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2023
Year:
2022
Year:
2022
Collaborators (9)
Michael Fedewa
Associate Professor
The University of Alabama
Lee Winchester
The University of Alabama
Eric Ryan
University of North Carolina at Chapel Hill
Jay Dawes
Associate Professor of Applied Exercise Science
Oklahoma State University
Sam R. Moore
University of North Carolina at Chapel Hill
Todd Freeborn
Associate Professor
The University of Alabama
Steven Martin
Clinical Assoicate Professor
Texas A&M University
Christian Rodriguez
Texas Tech University
Grant M. Tinsley
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