Obesity Treatment of Three Categories: Influence of Combined Dieting and Exercise Training on Selected Physical, Biochemical and Metabolic Parameters

The purpose of this study is to examine the effectiveness of 8 weeks of combined dieting and exercise training on selected physical, biochemical and metabolic parameters among three categories of obese males using optimal body mass (OBM) as a tool for calculating the energy requirement and to be compared with actual required food intake for measuring energy balance. Thirty obese, sedentary males from Dhahran and the surrounding area aged between 18 to 23 years will be the subjects for the study. The selection of subjects will be based on the body mass index (BMI) and medical examination. The subjects will be divided into three an equal training groups (n = 10 each), severely obese group 1 (SOG1, BMI = 40 49.9 kg / m2), medium obese group 2 (MOG2, BMI = 35-39.9 kg / m2) and light obese group 3 (LOG3, BMI = 30-34.9 kg / m2). The participants will be tested before and after the training period in body composition {age, body mass (BM), height (H), body mass index (BMI), percent body fat (%BF), fat free mass (FFM), total body water (TBW), optimal body mass (OBM) and maximum power output (MPO)}, biochemical variables {Tri-iodothyronine (T3), Thyroxine (T4), Thyroid Stimulating Hormone (TSH), Low Density Lipoprotein (LDL), cortisol, testosterone and insulin} and metabolic parameters {resting metabolic rate (RMR), total daily energy expenditure (TDEE), total daily food intake (TDFI) and total daily energy requirement (TDER)}. The high intensity interval training (HIIT) program will be administered for 8 weeks, twice per week for 30 min per session. The training protocol will be performed by using cycle Ergometer with an intensity of 60% of maximum power output (MPO). The data will be analyzed using SPSS version 16.0 software. Mean and standard deviation will be calculated for all subjects. The paired t - test will be applied to find out the significant differences within each group independently. One way analysis of variance (ANOVA) will be utilized to compare the mean differences between groups (Post-tests minus Pre-tests). The level of significance will be 0.05.