With age, people experience a gradual loss of muscle mass and strength, known as sarcopenia (SP). The essential criteria for confirming an SP are low appendicular lean mass (ALM) or its index (ALMI), most commonly measured using dual-energy X-ray absorptiometry (DXA). The availability of DXA in Ukraine remains limited, creating an urgent need for simple and accessible screening methods for low ALM. The aim was to develop and cross-validate equations for estimating ALM based on the simple demographic and anthropometric parameters in the Ukrainian population to enhance SP' s diagnostic efficiency. This retrospective study analyzed data from 1,710 subjects (1,546 women and 164 men) aged 60 years or older. Skeletal muscle mass was measured using DXA (DISCOVERY Wi, Hologic, Inc., USA). The stepwise multiple linear regression method was used to develop the ALM equations, with ALM as the dependent variable and anthropometric and demographic indices as independent variables. The most optimal formulas for the Ukrainian population aged 60+ were the next: predicted ALM (men) = 0.191 × weight (kg) + 0.141 × height (cm) – 0.077 × age (years) – 9.406 (Coefficient of determination (R²) = 0.71, standard error of estimate (SEE) = 2.5 kg); ALM (women) = 0.161 × weight (kg) + 0.089 × height (cm) – 0.013 × age (years) – 7.067 (R² = 0.71, SEE = 1.68 kg). The developed equations are simple and do not require complicated measurements. They are highly informative and can be effectively used in primary healthcare settings for SP screening to identify patients at risk.