Introducción. Sarcopenia es la disminución de masa muscular asociado a reducción del rendimiento y función física, siendo predictor de desenlaces adversos en ancianos. Su diagnóstico requiere datos de composición corporal de población joven sana para establecer valores de referencia de baja masa muscular.Objetivo. Establecer puntos de corte provisionales para sarcopenia en ancianos Caldenses a partir de datos de composición muscular esquelética de jóvenes usando bioimpedancia eléctrica.Materiales y métodos. Se utilizaron datos de composición corporal de jóvenes sanos entre 18 y 35 años medidos por bioimpedancia eléctrica. Se derivaron de allí los datos de índice de masa muscular esquelética. Se aplicó la prueba de Kolmogorov Smirnov para evaluar normalidad de los datos y luego se estableció el promedio de índice de masa muscular con sus desviaciones estándar, tanto para hombres como para mujeres.Resultados. A partir de estos datos se estableció como baja masa muscular un índice de masa muscular esquelética 2 desviaciones estándar por debajo de la media del índice de masa muscular en jóvenes, correspondiendo en mujeres a un valor de 6,42 kg/m2 y en hombres de 8,39 kg/m2.Conclusión. Estos valores son similares a los propuestos por algunos autores asiáticos, lo que muestra que la población de esta región tiene características de composición corporal similares a la asiática. Este es el primer estudio que ofrece una descripción de composición corporal muscular esquelética en jóvenes colombianos, y aporta puntos de corte para diagnóstico de sarcopenia en ancianos en región centroandina.

No abstract

Skeletal muscle mass index (SMMI) is a component in sarcopenia. There is no universal cut-off point and therefore each population should have its own reference values. This study aimed comparing SMMI cut-off points derived from a young population with those obtained directly from an elderly population. 237 older adult community-dwelling older than 60 years were evaluated. The skeletal muscle mass (SMM) was evaluated by bioelectrical impedance analysis (BIA). SMMI was calculated as SMM/height squared. The young population consisted of 255 participants from the same locality. The cut-off points from older person for moderate low muscle mass were 6.70 (women) and 9.20 kg/m2 (men). In this case, they were higher than those estimated from the young population (6.42 and 8.40 kg/m2for women and men). A similar trend was obtained when the cut-off points were set below the 20th percentile. When two standard deviations were used to determine the cut-off points, the values for older women were lower (5.90 kg/m2) than those obtained from young adults. There were no differences in the case of men. SMMI reference values from elderly persons is an option to diagnose sarcopenia, however prospective studies are necessary to stablish the capacity to predict functional outcomes.

No abstract

Bioelectrical impedance analysis (BIA) directly measures the phase angle (PA). PA has been associated with nutritional parameters, strength, and muscle mass, emerging as a possible and novel diagnostic marker of sarcopenia. The aim of this study was to establish PA cut off points for diagnosing sarcopenia in functional elderly from Colombia. 255 volunteers were analyzed. PA measurements taken by BIA were used, and the level of correlation with hand grip strength (HGS) and skeletal muscle mass index (SMMI) was established. In men and women, PA had a direct correlation with SMMI (p=0.010; r=0.252) (p=0.003; r=0.237) and with HGS (p=0.038; r=0.206,) (p=0.019; r=0.190) respectively. We used different statistical approach to stablish various cut off points with their sensitivities and specificities. The ROC curves and areas under curve were elaborated (0.91 in men and 0.56 in women). 6.12 ° in men and 5.74 ° in women are proposed as cut off points to diagnose sarcopenia, with good performance in men and less adequate performance in women, demonstrating the differences in body composition according to sex even within the same population and the need for further studies to relate these cut-off points with functional outcomes.