What is it about?
we used the multivariate longitudinal modeling and Generalized Estimating Equation (GEE) methodology with AR(1) correlation structure to have valid statistical inferences. With this model, in addition to the within-subject association, multivariate response association at a specific time point is also considered to assess the effects of endurance training and supplementation of L-Arg on multivariate repeated measurements of BMI, FBS and SIRT6 adjusting for the age of the participants. All analyses have been implemented in R-3.4.1
Featured Image
Why is it important?
we used the multivariate longitudinal modeling and Generalized Estimating Equation (GEE) methodology with AR(1) correlation structure to have valid statistical inferences. With this model, in addition to the within-subject association, multivariate response association at a specific time point is also considered to assess the effects of endurance training and supplementation of L-Arg on multivariate repeated measurements of BMI, FBS and SIRT6 adjusting for the age of the participants. All analyses have been implemented in R-3.4.1
Perspectives
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.
Rouhollah Haghshenas
Semnan University
Read the Original
This page is a summary of: Application of multivariate longitudinal models in SIRT6, FBS, and BMI analysis of the elderly, The Aging Male, June 2018, Taylor & Francis,
DOI: 10.1080/13685538.2018.1477933.
You can read the full text:
Resources
Contributors
The following have contributed to this page
