The dataset contains anonymized cross-sectional data collected from 51 older adults (≥ 60 years) from Slovenia. The data were obtained within a cross-sectional study aimed at sarcopenia classification and the analysis of muscle characteristics.
The dataset includes demographic information (age, sex), anthropometric measurements, and results of assessments of muscle strength, physical performance, body composition, muscle architecture, muscle composition, and muscle contractile properties. Muscle strength was assessed using handgrip strength measurement and the five-times sit-to-stand test. Physical performance was evaluated by gait speed and the Timed Up and Go test. Data on body composition and muscle mass were obtained using electrical bioimpedance analysis and include lean body mass, skeletal muscle mass, appendicular skeletal muscle mass, and indices adjusted for body height.
Muscle architecture was assessed using ultrasound, measuring parameters of muscle thickness, pennation angle, and fascicle length. Magnetic resonance imaging provided data on muscle composition, specifically muscle volume and intramuscular fat fraction. Contractile properties of skeletal muscles were evaluated using tensiomyography of three lower-limb muscles, with recorded parameters including delay time, contraction time, radial displacement, and contraction velocity.
Participants were classified into sarcopenia groups according to the EWGSOP2 and SDOC criteria. Data were collected following standardized protocols, anonymized, and accompanied by metadata, enabling reuse in accordance with the FAIR principles.
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