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 estimation

        1.4 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

   

        CHAPTER 2

        SAMPLE OF GREEK ATHLETES

        2.1 Introduction
        2.2 Predictive equations to estimate REE of adults
        2.3 Predictive equations to estimate REE of athletes

        2.4 Established equations for predicting REE

        2.5 Sample description and Statistics

        2.6 REE explanatory variables

        2.7 REE Prediction

 

        CHAPTER 3
        SIMPLE REGRESSION MODELS FOR REE-COMPARISONS

        3.1 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

 

        CHAPTER 4
        FINAL REGRESSION - APPLICATION GUIDE

        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

        APPENDIX

        REFERENCES