A body composition measurement is commonly used as a health promotion tool for residents. This study analyzed the patterns of regional skeletal muscle distribution among participants in a body composition measurement event. A total of 618 participants (74.1% women, mean age: 64.5 years) provided skeletal muscle data using Tanita MC 980-MA Plus, a multi-frequency bioelectrical impedance analysis device. The skeletal muscle score (SMS) for different body regions (right arm, left arm, trunk, right leg, and left leg) was used to categorize participants into groups based on their muscle distribution patterns. The latent class analysis identified four classes: Class 1 (19.4%) with low SMS in all body regions; Class 2 (25.9%) with low SMS in the upper body; Class 3 (39.8%) with normal SMS in all body regions; and Class 4 (14.4%) with high SMS in all body regions. This information has guided us in refining the handouts introducing exercises to be used in the body composition measurement.
