Application of multivariate longitudinal models in SIRT6, FBS, and BMI analysis of the elderly.

SIRT6 is a main regulator of metabolism and lifespan and its importance has been implicated in the prevention against aging-related diseases. The objective of this study was to examine the application of multivariate longitudinal models in SIRT6, FBS, and BMI analysis in the elderly men after eight weeks concurrent training with supplementation of l-arginine (l-Arg). Thirty two elderly men with mean age of 63.09 ± 3.71 years were randomly divided into four equal-sized groups (each  = 8); Exercise + supplement (ES) group; exercise + placebo (EP) group; supplement (S) group and control (C) group. The ES and EP groups performed the eight weeks of concurrent training, three sessions per week. Group ES and group S consumed 1000 mg of l-Arg per day at 8:00 pm. Measurements of biochemical variables were done by ELISA Reader method. For analytical purposes, we used the paired sample -test and multivariate longitudinal modeling with generalized estimating equation (GEE) methodology. All analyses have been implemented in R-3.4.1. Values less than .05 were considered statistically significant. With respect to significant association between sirt6, FBS, and BMI, this study showed that synergy effect of training and supplementation was greater than the sum of their individual effects on SIRT6 ( = 0.79,  < .001), FBS ( = -5.56,  = .022), and BMI ( = -3.89;  = .041). Also exercise alone had a significantly larger effect than supplementation alone on responses. It can be concluded that the joint usage of concurrent training and supplement of l-Arg for elderly men could improve the metabolism and body composition.