Effect of Inpatient versus Outpatient Measurement Protocol on Resting Metabolic Rate and Respiratory Exchange Ratio

1993 ◽  
Vol 37 (1) ◽  
pp. 24-32 ◽  
Author(s):  
Richard.C. Bullough ◽  
Christopher.L. Melby
Keyword(s):  
Metabolic Rate ◽  
Respiratory Exchange Ratio ◽  
Resting Metabolic Rate ◽  
Measurement Protocol

Effects of Training Status on the Metabolic Responses to High Carbohydrate and High Fat Meals

2000 ◽  
Vol 10 (1) ◽  
pp. 16-27 ◽  
Author(s):  
Victoria L. Bowden ◽  
Robert G. McMurray
Keyword(s):  
Metabolic Rate ◽  
Respiratory Exchange Ratio ◽  
Resting Metabolic Rate ◽  
Total Energy Expenditure ◽  
Training Status ◽  
High Fat ◽  
Trained Subjects ◽  
High Carbohydrate ◽  
Fat Meal ◽  
Aerobically Trained

The purpose of this study was to determine if there is a difference between the way in which aerobically trained and untrained women metabolize fats and carbohydrates at rest in response to either a high-fat or high-carbohydrate meal. Subjects, 6 per group, were fed a high CHO meal (2068 kJ, 76% CHO. 23% fat, 5% protein) and a high fat meal (2093 kJ, 21% CHO, 72% fat, 8% protein) in counterbalanced order. Resting metabolic rate (RMR) was measured every half-hour for 5 hours. RMR was similar between groups. Training status had no overall effect on postprandial metabolic rate or total energy expenditure. The high fat meal resulted in no significant differences in RMR or respiratory exchange ratio (RER) between groups. However, after ingesting a high CHO meal, trained subjects had a peak in metabolism at minute 60, not evident in the untrained subjects. In addition, postprandial RER from minutes 120-300 were lower and fat use was greater after the high CHO meal for the trained subjects. These results suggest that aerobically trained women have an accelerated CHO uptake and overall lower CHO oxidation following the ingestion of a high CHO meal.

scholarly journals Resting metabolic rate and its adjustments as  predictors of risk protein-energy wasting in  hemodialysis patients

2021 ◽  
Author(s):  
Jingjing Da ◽  
Yanjun Long ◽  
Qian Li ◽  
Xia Yang ◽  
Jing Yuan ◽  
...  
Keyword(s):  
Body Composition ◽  
Linear Regression ◽  
Metabolic Rate ◽  
Fat Mass ◽  
Linear Regression Analysis ◽  
Resting Metabolic Rate ◽  
Cell Mass ◽  
Hemodialysis Patients ◽  
Protein Energy Wasting ◽  
Measurement Protocol

Background: The purpose of the present study was to explore the association between resting metabolic rate (RMR) and PEW risk in Chinese hemodialysis patients by age and gender subgroup. Methods: RMR and body composition (body cell mass and fat mass) of 774 patients undergoing hemodialysis were estimated by bioelectrical impedance analysis (BIA). Anthropometric data were collected by a standard measurement protocol, and the upper arm muscle circumference (AMC) was calculated. Biochemical nutritional and dialysis parameters were obtained. Linear regression analysis was used to analyze the relationship between RMR, body composition and nutritional factors. Results: The mean age was 54.96±15.78 years. RMR level in patients was 1463.0 (1240.5, 1669.0) kcal/d. In multiple linear regression models, BCM, LCC, fat mass were the determinants association with RMR (P＜0.001). Among the patients in the sample, 133 (17.2%) had diagnosed PEW per ISRNM criteria and 363 (46.9%) were being at risk PEW. The AUC of RMR for predicting risk PEW was greater than RMR/BCM and RMR/BSA. When the cut-off of RMR was 1481 kcal/d had the higher sensitivity and specificity (82% and 42%), and the AUC was 0.68 in elderly MHD patients (P＜0.001). After adjustment for potential confounders, lowest RMR quartile level (<1239) increased the risk of PEW (OR= 4.71, 95% CI 1.33-16.64, P=0.016) in all patients. Conclusions: Older patients with PEW have a lower RMR reduction. RMR and RMR/BCM may play the role in objective screening to detect risk PEW in MHD patients, especially in male.

scholarly journals Inter-Day Reliability of Resting Metabolic Rate and Maximal Fat Oxidation during Exercise in Healthy Men Using the Ergostik Gas Analyzer

Nutrients ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 4308
Author(s):  
Lidia Robles-González ◽  
Jorge Gutiérrez-Hellín ◽  
Millán Aguilar-Navarro ◽  
Carlos Ruiz-Moreno ◽  
Alejandro Muñoz ◽  
...  
Keyword(s):  
Metabolic Rate ◽  
Repeated Measures ◽  
Respiratory Exchange Ratio ◽  
Resting Metabolic Rate ◽  
Fat Oxidation ◽  
Gas Analyzer ◽  
Healthy Men ◽  
Oxidation Rates ◽  
Maximal Fat Oxidation ◽  
Experimental Trials

The attainment of high inter-day reliability is crucial to determine changes in resting metabolic rate (RMR), respiratory exchange ratio (RER), maximal fat oxidation during exercise (MFO) and the intensity that elicits MFO (Fatmax) after an intervention. This study aimed to analyze the inter-day reliability of RMR, RER, MFO and Fatmax in healthy adults using the Ergostik gas analyzer. Fourteen healthy men (age: 24.4 ± 5.0 years, maximum oxygen uptake (VO2max): 47.5 ± 11.9 mL/kg/min) participated in a repeated-measures study. The study consisted of two identical experimental trials (Day 1 and Day 2) in which the participants underwent an indirect calorimetry assessment at resting and during an incremental exercise test. Stoichiometric equations were used to calculate energy expenditure and substrate oxidation rates. There were no significant differences when comparing RMR (1999.3 ± 273.9 vs. 1955.7 ± 362.6 kcal/day, p = 0.389), RER (0.87 ± 0.05 vs. 0.89 ± 0.05, p = 0.143), MFO (0.32 ± 0.20 vs. 0.31 ± 0.20 g/min, p = 0.776) and Fatmax (45.0 ± 8.6 vs. 46.4 ± 8.4% VO2max, p = 0.435) values in Day 1 vs. Day 2. The inter-day coefficient of variation for RMR, RER, MFO and Fatmax were 4.85 ± 5.48%, 3.22 ± 3.14%, 7.78 ± 5.51%, and 6.51 ± 8.04%, respectively. In summary, the current results show a good inter-day reliability when RMR, RER, MFO and Fatmax are determined in healthy men using the Ergostik gas analyzer.

Nutrient pattern of unsaturated fatty acids and vitamin E increase resting metabolic rate of overweight and obese women

2020 ◽  
pp. 1-9
Author(s):  
Habib Yarizadeh ◽  
Leila Setayesh ◽  
Caroline Roberts ◽  
Mir Saeed Yekaninejad ◽  
Khadijeh Mirzaei
Keyword(s):  
Vitamin E ◽  
Metabolic Rate ◽  
Unsaturated Fatty Acids ◽  
Resting Metabolic Rate ◽  
Blood Parameters ◽  
Cross Sectional Study ◽  
Obese Women ◽  
Cross Sectional ◽  
Dietary Nutrients ◽  
Nutrient Patterns

Abstract. Objectives: Obesity plays an important role in the development of chronic diseases including cardiovascular disease and diabetes. A low resting metabolic rate (RMR) for a given body size and composition is a risk factor for obesity, however, there is limited evidence available regarding the association of nutrient patterns and RMR. The aim of this study was to determine the association of nutrient patterns and RMR in overweight and obese women. Study design: This cross-sectional study was conducted on 360 women who were overweight or obese. Method: Dietary intake was assessed using a semi-quantitative standard food frequency questionnaire (FFQ). Nutrient patterns were also extracted by principal components analysis (PCA). All participants were evaluated for their body composition, RMR, and blood parameters. Result: Three nutrient patterns explaining 64% of the variance in dietary nutrients consumption were identified as B-complex-mineral, antioxidant, and unsaturated fatty acid and vitamin E (USFA-vit E) respectively. Participants were categorized into two groups based on the nutrient patterns. High scores of USFA-vit E pattern was significantly associated with the increase of RMR (β = 0.13, 95% CI = 0.79 to 68.16, p = 0.04). No significant associations were found among B-complex-mineral pattern (β = −0.00, 95% CI = −49.67 to 46.03, p = 0.94) and antioxidant pattern (β = 0.03, 95% CI −41.42 to 22.59, p = 0.56) with RMR. Conclusion: Our results suggested that the “USFA-vit E” pattern (such as PUFA, oleic, linoleic, vit.E, α-tocopherol and EPA) was associated with increased RMR.

Validation of Equations for the Prediction of Resting Metabolic Rate in Sri Lankan Adults

2019 ◽  
Vol 9 (10) ◽  
pp. p9462
Author(s):  
Pathima Fairoosa ◽  
Indu Waidyatilaka ◽  
Maduka de Lanerolle-Dias ◽  
Pujitha Wickramasinghe ◽  
Pulani Lanerolle
Keyword(s):  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Sri Lankan

The Metabolic Theory of Ecology

2017 ◽  
Author(s):  
Andrew Clarke
Keyword(s):  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Effect Of Temperature ◽  
Thermal Ecology ◽  
Model Data ◽  
Metabolic Theory ◽  
Physical Explanation ◽  
Boltzmann Factor ◽  
Scaling Exponents ◽  
Metabolic Theory Of Ecology

The model of West, Brown & Enquist (WBE) is built on the assumption that the metabolic rate of cells is determined by the architecture of the vascular network that supplies them with oxygen and nutrients. For a fractal-like network, and assuming that evolution has minimised cardiovascular costs, the WBE model predicts that s=metabolism should scale with mass with an exponent, b, of 0.75 at infinite size, and ~ 0.8 at realistic larger sizes. Scaling exponents ~ 0.75 for standard or resting metabolic rate are observed widely, but far from universally, including in some invertebrates with cardiovascular systems very different from that assumed in the WBE model. Data for field metabolic rate in vertebrates typically exhibit b ~ 0.8, which matches the WBE prediction. Addition of a simple Boltzmann factor to capture the effects of body temperature on metabolic rate yields the central equation of the Metabolic Theory of Ecology (MTE). The MTE has become an important strand in ecology, and the WBE model is the most widely accepted physical explanation for the scaling of metabolic rate with body mass. Capturing the effect of temperature through a Boltzmann factor is a useful statistical description but too simple to qualify as a complete physical theory of thermal ecology.

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