Multiple Regression Analysis in Greek Athletes' Resting Energy Expenditure
Tsiptsis
Kostas G.
Supervisor: I. Panaretos
CHAPTER
1
INFORMATION ABOUT NUTRITION AND ENERGY EXPENDITURE
1.1 Introduction
1.2 REE (BMR)
1.3 REE estimation1.4 Factors tha affect REE
1.5 Body composition
1.6 Total energy expenditure and physical activity levels
1.7 TEE - Calculation for athletes
1.8 Objectives
SAMPLE OF GREEK ATHLETES
SIMPLE REGRESSION MODELS FOR REE-COMPARISONS2.1 Introduction
2.2 Predictive equations to estimate REE of adults
2.3 Predictive equations to estimate REE of athletes2.4 Established equations for predicting REE
2.5 Sample description and Statistics
2.6 REE explanatory variables
2.7 REE Prediction
FINAL REGRESSION - APPLICATION GUIDE3.1 Introduction
3.2 REE VS weihgt - Regression
3.3 Assumptions of linear model
3.4 REE VS weight, height and age - Regression
3.5 Regression models using fat free body mass information
3.6 Comparisons between different equations
3.7 Conclusions
4.1 Introduction
4.2 Derivation of new variables
4.3 Derived equation with interactive variables
4.4 Conclusions
4.5 Application Guide
4.6 Summary