Background and Objectives: Previouse studies demonstRATEd inverse association between healthy eating index and alot of chronic diseases like cardiovascular disease and cancer and mortality. Since there are limited study about relation between healthy eating index and reting METABOLIC RATE. considering the results of some studies about the relation between weight, body composition and blood suger and considering the association between these factores and RMR, the aim of this study is to investigate this association. Methods: this study is a cross sectional study that was conducted on 256 subjects who were above 18 years old. Body composition, RESTING METABOLIC RATE, were evaluated. Dietary intakes including macronutrient and energy intake of participant were mentioned using a validated food frequency questionnaire 168 items. RESTING METABOLIC RATE was evaluated by inderect calorymetry(MetaLyzer 3B-R3) and body composition was assested by Multi-frequency bioelectrical impedance analyzer InBody 770 scanner (InBody co, Seoul, Korea). To evalute relation between healthy eating index with body composition and RESTING METABOLIC RATE, ANCOVA was used. Also curve estimation was performed to find linear association between RMR and HEI. Result: this study did not found significant relation between healthy eating index and RESTING METABOLIC RATE in both gender(men: p=0. 83, women: p= 0. 9). The score of healthy eating index in men was higher than women and with age increased, the score of healthy eating index increased. Conclusion: Current study did not demostRATE any significant differences between RESTING METABOLIC RATE and body composition in tertiles of healthy eating index.

Aim: The aim of this study was to investigate the association between circadian rhythm with RESTING METABOLIC RATE (RMR) in overweight\obese women Methods: This cross-sectional study included 232 obese and overweight women. Morningness-Eveningness Questionnaire (MEQ) was used to assess the level of circadian rhythm. RMR was measured by indirect calorimetry after a 10-12 hour overnight fasting period by a trained nutritionist. We assessed body composition using multi-frequency bioelectrical impedance analyzer (BIA). Results: The percentage of overweight and obese women were 48. 7% (113) and 51. 3% (119), respectively. The number of participants who were morningness, intermediate and eveningness was 28(12. 1%), 135(58. 2%) and 69(29. 7%) respectively. A significant relationship was found between MEQ and RMR. normal (p=0. 011). According to linear regression model non-eveningness participants had 81. 92 higher RMR compared to eveningness participants (p=0. 027). Conclusion: We found that non-eveningness participants had higher RMR compared to eveningness participants that can have protective effect against obesity, diabetes type2 and other health disorders.

Background: Although parental obesity is a well-established predisposing factor for the development of obesity, associations between regional body compositions, RESTING METABOLIC RATEs (RMR), and physical activity (PA) of parents and their pre-school children remain unknown. The objective of this study was to investigate parent-child correlations for total and regional body compositions, RESTING energy expenditures, and physical activity.Methods: Participants were 89 children aged 2-6 years and their parents, consisting of 61 families. RESTING METABOLIC RATE was assessed using indirect calorimetry. Total and regional body compositions were measured by both dual energy X-ray absorptiometry (DXA) and deuterium dilution. Physical activity was assessed by an accelerometer.Results: There was a significant parent-offspring regression for total fat free mass (FFM) between children and their mothers (P=0.02), fathers (P=0.02), and mid-parent (average of father and mother value) (P=0.002) when measured by DXA. The same was true for fat mass (FM) between children and mothers (P<0.01), fathers (P=0.02), and midparent (P=0.001). There was no significant association between children and parents for physical activity during the entire week, weekend, weekdays, and different parts of days, except for morning activity, which was positively related to the mothers’ morning activities (P<0.01) and mid-parent (P=0.009). No association was found between RMR of children and parents before and after correction for FFM and FM.Conclusion: These data suggest a familial resemblance for total body composition between children and their parents. Our data showed no familial resemblance for PA and RMR between children and their parents.

Background: Underweight as a public health problem in young women is associated with nutritional deficiencies, menstrual irregularity, eating disorders, reduced fertility, etc. Since RESTING METABOLIC RATE (RMR) is a necessary component in the development of nutrition support therapy, therefore we determined the accuracy of commonly used predictive equations against RMR measured by indirect calorimetry among healthy young underweight females.Methods: This cross-sectional study was conducted on 104 underweight females aged 18-30 years old with body mass index (BMI)<18.5 kg/m2 in 2013. After collecting anthropometric data, body composition was measured by bioelectric impedance analysis (BIA). RMR was measured by using indirect calorimetry (FitMateTM) and was estimated by 10 commonly used predictive equations. Comparisons were conducted using paired t-test. The accuracy of the RMR equations was evaluated on the basis of the percentage of subjects’ predicted RMR within 10% of measured RMR.Results: The mean BMI of subjects was 17.3±1.3 kg/m2. The measured RMR ranged 736-1490 kcal/day (mean 1084.7±175 kcal/day). Findings indicated that except Muller and Abbreviation, other equations significantly over estimated RMR, compared to measured value (P<0.05). As an individual prediction accuracy, these predictive equations showed poor performance with the highest accuracy RATE of 54.8% for Muller equation (22.1% under and 23.1% over-prediction) and 43.3% for Abbreviation equation (31.7% under and 25% over-prediction), the percentage bias was 1.8% and 0.63% and RMSE was 162 and 173 kcal/d, respectively.Conclusion: Although Muller equation gave fairly acceptable prediction, more suitable new equations are needed to be developed to help better management of nutritional plans in young underweight people.

Background: Inconsistent results have been reported about the relationship between low RMR and obesity. The purpose of this study was to investigate the relationship between RESTING METABOLIC RATE and body composition factors in obese and normal weight gymnastics children. Materials and Methods: 20 obese and 21 normal-weight boys, aged 8-12 years, participated in this study. In the first session, data regarding the participants’ anthropometrical (weight, height, waist to hip ratio (WHR)) and body composition (body fat percentage (BF%), body fat weight (BFW), and lean body weight (LBW)) measurements were recorded. In the next session, at first, subjects rested for 15 min and then performed a modified Bulk exhausting test. The subjects were connected to the mouthpiece of gas analyzer throughout the rest and exhausting test and VO2max, RER, and RMR were conducted in both groups. Results: Significant difference was observed for a mean of VO2max, weight, BF%, BFW, LBW, and WHR between the two groups (P=0/001). The mean of RMR per kg body weight was significantly lower in the obese group than in the normal-weight group (P<0/05). There was no significant difference in the RER variable between the two groups (P>0. 05). There was a significant linear relationship between RMR with weight, WHR, BFW, LBW, and VO2max in the obese group (P≤ 0/05). Conclusion: Based on the results of the present study it can be concluded that the difference between the weight of obese and normal-weight beginner gymnast children is partly due to low RMR; and the lower RMR in obese children might be due to their low cardiorespiratory fitness.

Background and Objective: Knowledge of RESTING METABOLIC RATE and body composition is important for defining appropriate nutritional, energy balance and weight control. The purpose of this study was to compare RESTING METABOLIC RATE (RMR) and body composition in young sedentary males after aerobic and resistance exercise training.Materials and Methods: Twenty eight sedentary male students were randomly assigned to participate in one of the following groups: endurance program (n=8), resistance program (n=10) and control group (n=10). The exercise training programs consisted of 6 weeks and 3 sessions of aerobic (running, by intensity 65% to 85% of HRmax) and resistance (11 exercises, 3 sets, 10 to 12 repetitions, 65% of 1RM) training per week. Before and after training, RESTING METABOLIC RATE, body composition and VO2max were determined for each participant. Within- group differences were analyzed by using student t-test. One way ANOVA was used for between -group differences.Results: Results demonstRATEd that RMR increased significantly in resistance training while decreased significantly in endurance training. There was not any significant difference in RMR of the control group (p£0.05). When RMR was normalized to FFM (kcal.kg FFM-1day-1), there were no significant improvement in RMR for any of the three groups. Total factors involved in body composition decreased significantly at the end of aerobic training. With resistance training, there was a significant decrease in FFM and BMI (p£0.05).Conclusion: This study indicates that weight loss programs are more dependent on the amount of energy expenditure during the exercises than on the type of training. The findings support that there is not much difference in using aerobic or resistance training to increase RESTING METABOLIC RATE and weight loss.