scholarly journals The effect of alcohol on resting metabolic rate

1978 ◽  
Vol 40 (2) ◽  
pp. 293-298 ◽  
Author(s):  
Kathryn Rosenberg ◽  
J. V. G. A. Durnin
Keyword(s):  
Oxygen Consumption ◽  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Average Increase ◽  
Postprandial Period ◽  
Significant Difference

1. There was a significant increase in oxygen consumption in ten women after small intakes of alcohol.2. No significant difference was found between the average increase in metabolic rate over 3 h after an isoenergetic meal of food or of food plus alcohol. However, during the last half of the 3 h postprandial period, the increased O2 consumption was significantly greater after the meal including alcohol.3. Possible explanations for the contradictory results in the literature are discussed.

The Relationship of Mode and Intensity of Training on Resting Metabolic Rate in Women

2001 ◽  
Vol 11 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Heidi K. Byrne ◽  
Jack H. Wilmore
Keyword(s):  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Women Subjects ◽  
Present Cross Sectional Study ◽  
Significant Difference ◽  
Level Of Training ◽  
The Relationship ◽  
Aerobically Trained

The present cross-sectional study was designed to investigate the relationship between exercise training and resting metabolic rate (RMR). The focus of this investigation was to compare RMR in aerobically trained (AT), resistance trained (RT), and untrained (UNT) women. Subjects were also classified as highly trained (HT), moderately trained (MT), or untrained (UNT) in order to examine the relationship between RMR and level of training. Sixty-one women between the ages of 18 and 46 years volunteered to serve as subjects in this study. Each subject completed measurements of body composition, maximal oxygen uptake (V̇O2max), and two consecutive measurements of RMR. The data presented show that there was no significant difference in resting metabolic rate between resistance-trained, aerobically trained, and control subjects. However, when grouped by intensity of training, there was a trend for an increased resting metabolic rate (kcal/day) in the highly trained subjects, regardless of mode of training.

Oxygen consumption and resting metabolic rate in sepsis, sepsis syndrome, and septic shock

1993 ◽  
Vol 21 (7) ◽  
pp. 1012-1019 ◽  
Author(s):  
GEORG KREYMANN ◽  
SEBASTIAN GROSSER ◽  
PETER BUGGISCH ◽  
CLAUS GOTTSCHALL ◽  
STEPHAN MATTHAEI ◽  
...  
Keyword(s):  
Septic Shock ◽  
Oxygen Consumption ◽  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Sepsis Syndrome

Percent relative cumulative frequency analysis in indirect calorimetry: application to studies of transgenic mice

2004 ◽  
Vol 82 (12) ◽  
pp. 1075-1083 ◽  
Author(s):  
Marc Riachi ◽  
Jean Himms-Hagen ◽  
Mary-Ellen Harper
Keyword(s):  
Oxygen Consumption ◽  
Energy Expenditure ◽  
Metabolic Rate ◽  
Indirect Calorimetry ◽  
Uncoupling Protein ◽  
Resting Metabolic Rate ◽  
Large Data ◽  
Cumulative Frequency ◽  
And Control ◽  
Deficient Mice

Indirect calorimetry is commonly used in research and clinical settings to assess characteristics of energy expenditure. Respiration chambers in indirect calorimetry allow measurements over long periods of time (e.g., hours to days) and thus the collection of large sets of data. Current methods of data analysis usually involve the extraction of only a selected small proportion of data, most commonly the data that reflects resting metabolic rate. Here, we describe a simple quantitative approach for the analysis of large data sets that is capable of detecting small differences in energy metabolism. We refer to it as the percent relative cumulative frequency (PRCF) approach and have applied it to the study of uncoupling protein-1 (UCP1) deficient and control mice. The approach involves sorting data in ascending order, calculating their cumulative frequency, and expressing the frequencies in the form of percentile curves. Results demonstrate the sensitivity of the PRCF approach for analyses of oxygen consumption ([Formula: see text]02) as well as respiratory exchange ratio data. Statistical comparisons of PRCF curves are based on the 50th percentile values and curve slopes (H values). The application of the PRCF approach revealed that energy expenditure in UCP1-deficient mice housed and studied at room temperature (24 °C) is on average 10% lower (p < 0.0001) than in littermate controls. The gradual acclimation of mice to 12 °C caused a near-doubling of [Formula: see text] in both UCP1-deficient and control mice. At this lower environmental temperature, there were no differences in [Formula: see text] between groups. The latter is likely due to augmented shivering thermogenesis in UCP1-deficient mice compared with controls. With the increased availability of murine models of metabolic disease, indirect calorimetry is increasingly used, and the PRCF approach provides a novel and powerful means for data analysis.Key words: thermogenesis, oxygen consumption, metabolic rate, uncoupling protein, UCP.

scholarly journals The Allometric Relationship between Resting Metabolic Rate and Body Mass in Wild Waterfowl (Anatidae) and an Application to Estimation of Winter Habitat Requirements

The Condor ◽  
2006 ◽  
Vol 108 (1) ◽  
pp. 166-177 ◽  
Author(s):  
Michael R. Miller ◽  
John McA. Eadie
Keyword(s):  
Metabolic Rate ◽  
Body Mass ◽  
Resting Metabolic Rate ◽  
Allometric Relationship ◽  
Daily Cycle ◽  
Winter Habitat ◽  
Wintering Waterfowl ◽  
Significant Difference ◽  
Daily Energy ◽  
Wild Waterfowl

AbstractWe examined the allometric relationship between resting metabolic rate (RMR; kJ day−1) and body mass (kg) in wild waterfowl (Anatidae) by regressing RMR on body mass using species means from data obtained from published literature (18 sources, 54 measurements, 24 species; all data from captive birds). There was no significant difference among measurements from the rest (night; n = 37), active (day; n = 14), and unspecified (n = 3) phases of the daily cycle (P > 0.10), and we pooled these measurements for analysis. The resulting power function (aMassb) for all waterfowl (swans, geese, and ducks) had an exponent (b; slope of the regression) of 0.74, indistinguishable from that determined with commonly used general equations for nonpasserine birds (0.72–0.73). In contrast, the mass proportionality coefficient (b; y-intercept at mass = 1 kg) of 422 exceeded that obtained from the nonpasserine equations by 29%–37%. Analyses using independent contrasts correcting for phylogeny did not substantially alter the equation. Our results suggest the waterfowl equation provides a more appropriate estimate of RMR for bioenergetics analyses of waterfowl than do the general nonpasserine equations. When adjusted with a multiple to account for energy costs of free living, the waterfowl equation better estimates daily energy expenditure. Using this equation, we estimated that the extent of wetland habitat required to support wintering waterfowl populations could be 37%–50% higher than previously predicted using general nonpasserine equations.

Validation of Cosmed’s FitMate™ in Measuring Oxygen Consumption and Estimating Resting Metabolic Rate

2006 ◽  
Vol 14 (2) ◽  
pp. 89-96 ◽  
Author(s):  
David C. Nieman ◽  
Melanie D. Austin ◽  
Laura Benezra ◽  
Steven Pearce ◽  
Tim McInnis ◽  
...  
Keyword(s):  
Oxygen Consumption ◽  
Metabolic Rate ◽  
Resting Metabolic Rate

Energy expenditure in non-insulin dependent diabetic subjects on metformin or sulphonylurea therapy

1987 ◽  
Vol 73 (1) ◽  
pp. 41-45 ◽  
Author(s):  
P. Leslie ◽  
R. T. Jung ◽  
T. E. Isles ◽  
J. Baty
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Energy Expenditure ◽  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Confidence Limits ◽  
Significant Difference ◽  
Insulin Dependent ◽  
Predicted Values ◽  
Insulin Dependent Diabetic

1. In the management of the non-insulin dependent diabetic patient, metformin often facilitates weight loss whereas sulphonylurea may predispose to weight gain. To investigate whether this is due to alterations in energy expenditure we have studied energy expenditure in seven non-insulin dependent diabetic subjects while on metformin or sulphonylurea therapy. 2. Three components of energy expenditure were measured by indirect calorimetry, namely resting metabolic rate and the thermic responses to infused noradrenaline and to a mixed constituent meal. 3. There was no significant difference in the resting metabolic rate on metformin (5.29 ± 0.41 kJ/min; mean ± se) compared with sulphonylurea (5.34 ± 0.34 kJ/min). The resting metabolic rate was also similar to predicted values for non-diabetic subjects (r = 0.96). 4. The thermic response to infused noradrenaline was similar on metformin (23.14 ± 1.87 kJ) and sulphonylurea (21.40 ± 2.98 kJ). 5. There was no significant difference in the thermic response to the meal on sulphonylurea (75.8 ± 7.5 kJ) or on metformin (86.8 ± 10.8 kJ; 95% confidence limits − 17 to + 39 kJ). 6. We conclude that in non-insulin dependent diabetic subjects metformin does not enhance energy expenditure overall, compared with sulphonylurea.

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