Jacob Mota

Assistant Professor

Texas Tech University
Country flagUnited States

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

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

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Collaborators (9)

Michael Fedewa

Associate Professor

The University of Alabama

UNITED STATES
View details

Lee Winchester

The University of Alabama

UNITED STATES
View details

Eric Ryan

University of North Carolina at Chapel Hill

UNITED STATES
View details

Jay Dawes

Associate Professor of Applied Exercise Science

Oklahoma State University

UNITED STATES
View details

Sam R. Moore

University of North Carolina at Chapel Hill

UNITED STATES
View details

Todd Freeborn

Associate Professor

The University of Alabama

UNITED STATES
View details

Steven Martin

Clinical Assoicate Professor

Texas A&M University

UNITED STATES
View details

Christian Rodriguez

Texas Tech University

UNITED STATES
View details

Grant M. Tinsley

-

UNITED STATES
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.