This dataset contains anonymized data collected from older adult participants and supports research on skeletal muscle health, muscle quality, physical function, and related functional and behavioral outcomes. The dataset integrates demographic, anthropometric, functional, neuromuscular, nutritional, cognitive, and physical activity variables, enabling comprehensive analyses of age-related changes in muscle and physical performance.
Participant characteristics include biological sex, age at assessment, body height, body mass, and body mass index. Physical performance is evaluated using standardized functional tests such as the Five Times Sit-to-Stand test, Timed Up and Go test, habitual gait speed, and hand grip strength. Anthropometric indicators relevant to sarcopenia screening, including calf circumference, are also provided, together with validated screening tools (SARC-F and SARC-CalF).
Muscle contractile properties of the biceps femoris, gastrocnemius medialis, and vastus lateralis are assessed using tensiomyography, including delay time, contraction time, and peak radial displacement parameters, which reflect muscle mechanical and neuromuscular characteristics. Body composition and muscle mass are estimated using bioelectrical impedance analysis, providing measures of resistance, reactance, skeletal muscle mass, skeletal muscle index, and appendicular muscle mass indices.
Additional variables include nutritional status assessed by the Mini Nutritional Assessment, cognitive performance measured using the Trail Making Test (Parts A and B), and self-reported physical activity and sedentary behavior across daily and recreational contexts. Together, these data enable multidimensional investigations of muscle quality and functional health in older populations.