Energy expenditure in European roe deer fawns during the suckling period and its relationship with maternal reproductive cost

1999 ◽  
Vol 77 (3) ◽  
pp. 389-396 ◽  
Author(s):  
Christiane Mauget ◽  
Robert Mauget ◽  
Antoine Sempéré
Keyword(s):  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Roe Deer ◽  
Resting Metabolic Rate ◽  
Capreolus Capreolus ◽  
Reproductive Cost ◽  
Suckling Period ◽  
The Third ◽  
Lactating Females ◽  
Peak Value

We measured energy expenditure by means of indirect calorimetry in European roe deer (Capreolus capreolus) fawns at frequent intervals from birth to 45 days of age. Mean resting metabolic rate (RMR) and body mass (BM) did not differ significantly between males (N = 9) and females (N = 14). RMR significantly increased with the fawn age following the equation RMR (kJ·d-1) = 956 + 31.4 age (days). Growth in BM was linear: BM (kg) = 1.565 + 0.135 age (days). Mass-specific RMR decreased from a peak value of ca. 500 kJ·kg-1·d-1 in the first week to 290.4 ± 10.0 kJ·kg-1·d-1 in the sixth week. Concomitant metabolic trials performed with 14 lactating females and their 19 fawns indicated that metabolic weaning began in the third week, when the fawn's energy expenditure became markedly higher than could be compensated for by the mother's milk. Comparison of the energy expenditure of singletons and twins showed that female roe deer are energetically well adapted to nurse two fawns.

Metabolic rate in female European roe deer (Capreolus capreolus): incidence of reproduction

1997 ◽  
Vol 75 (5) ◽  
pp. 731-739 ◽  
Author(s):  
Christiane Mauget ◽  
Robert Mauget ◽  
Antoine Sempéré
Keyword(s):  
Metabolic Rate ◽  
Body Mass ◽  
Roe Deer ◽  
Post Partum ◽  
Resting Metabolic Rate ◽  
Capreolus Capreolus ◽  
First Year ◽  
Lactating Females ◽  
Reproduction Costs ◽  
Ad Libitum Feeding

Indirect calorimetry measurements were made continuously over a 2-year period in 10 adult female roe deer (Capreolus capreolus) maintained in outdoor enclosures on ad libitum feeding. Results from adult nonpregnant does revealed no endogenous seasonal rhythm in resting metabolic rate (RMR), in contrast to most cervid species. Throughout the 2 years of our study, RMR (overall mean 4695 ± 65 kJ∙d−1) fluctuated in parallel with variations in body mass. The mass-specific RMR ranged from 221.2 ± 4.8 to 230.7 ± 4.0 kJ∙kg−1∙d−1 (466.0 ± 10.8 to 495.5 ± 9.7 kJ∙kg−0.75∙d−1). Results from pregnant females (five in the first year, four in the second) showed that their energy expenditure increased by 15% during the last 2 months of gestation, in step with the increase in body mass. A 27% increase in RMR was recorded in lactating females during the first month post partum. These results show that in a small-bodied cervid such as the roe deer, reproduction costs are no higher than in other wild herbivores.

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 Indirect Calorimetry Protocol Development for Measuring Resting Metabolic Rate as a Component of Total Energy Expenditure in Free-Living Postmenopausal Women

2001 ◽  
Vol 131 (8) ◽  
pp. 2215-2218 ◽  
Author(s):  
Neilann K. Horner ◽  
Johanna W. Lampe ◽  
Ruth E. Patterson ◽  
Marian L. Neuhouser ◽  
Shirley A. Beresford ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Metabolic Rate ◽  
Total Energy ◽  
Postmenopausal Women ◽  
Indirect Calorimetry ◽  
Resting Metabolic Rate ◽  
Total Energy Expenditure ◽  
Free Living ◽  
Protocol Development

scholarly journals The Energy Expenditure of Free-Living Physical Activities in Primary Schoolchildren

2016 ◽  
Vol 13 (s1) ◽  
pp. S57-S61 ◽  
Author(s):  
Alison L. Innerd ◽  
Liane B. Azevedo
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Metabolic Rate ◽  
Indirect Calorimetry ◽  
Resting Metabolic Rate ◽  
Physical Activities ◽  
Free Living ◽  
Metabolic Equivalent ◽  
Primary Schoolchildren ◽  
Vigorous Intensity

Background:The aim of this study is to establish the energy expenditure (EE) of a range of child-relevant activities and to compare different methods of estimating activity MET.Methods:27 children (17 boys) aged 9 to 11 years participated. Participants were randomly assigned to 1 of 2 routines of 6 activities ranging from sedentary to vigorous intensity. Indirect calorimetry was used to estimate resting and physical activity EE. Activity metabolic equivalent (MET) was determined using individual resting metabolic rate (RMR), the Harrell-MET and the Schofield equation.Results:Activity EE ranges from 123.7± 35.7 J/min/Kg (playing cards) to 823.1 ± 177.8 J/min/kg (basketball). Individual RMR, the Harrell-MET and the Schofield equation MET prediction were relatively similar at light and moderate but not at vigorous intensity. Schofield equation provided a better comparison with the Compendium of Energy Expenditure for Youth.Conclusion:This information might be advantageous to support the development of a new Compendium of Energy Expenditure for Youth.

scholarly journals Comparison of Conventional and Individualized 1-MET Values for Expressing Maximum Aerobic Metabolic Rate and Habitual Activity Related Energy Expenditure

Nutrients ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 458 ◽  
Author(s):  
Juliane Heydenreich ◽  
Yves Schutz ◽  
Katarina Melzer ◽  
Bengt Kayser
Keyword(s):  
Energy Expenditure ◽  
Metabolic Rate ◽  
Indirect Calorimetry ◽  
Resting Metabolic Rate ◽  
Healthy Controls ◽  
Metabolic Capacity ◽  
Men And Women ◽  
Habitual Activity ◽  
The Individual ◽  
Activity Energy

The maximum aerobic metabolic rate can be expressed in multiple metabolically equivalent tasks (MET), i.e., METmax. The purpose was to quantify the error when the conventional (3.5 mL∙kg−1∙min−1) compared to an individualized 1-MET-value is used for calculating METmax and estimating activity energy expenditure (AEE) in endurance-trained athletes (END) and active healthy controls (CON). The resting metabolic rate (RMR, indirect calorimetry) and aerobic metabolic capacity (spiroergometry) were assessed in 52 END (46% male, 27.9 ± 5.7 years) and 53 CON (45% male, 27.3 ± 4.6 years). METmax was calculated as the ratio of VO2max over VO2 during RMR (METmax_ind), and VO2max over the conventional 1-MET-value (METmax_fix). AEE was estimated by multiplying published MET values with the individual and conventional 1-MET-values. Dependent t-tests were used to compare the different modes for calculating METmax and AEE (α = 0.05). In women and men CON, men END METmax_fix was significantly higher than METmax_ind (p < 0.01), whereas, in women END, no difference was found (p > 0.05). The conventional 1-MET-value significantly underestimated AEE in men and women CON, and men END (p < 0.05), but not in women END (p > 0.05). The conventional 1-MET-value appears inappropriate for determining the aerobic metabolic capacity and AEE in active and endurance-trained persons.

scholarly journals Estimation of Activity Related Energy Expenditure and Resting Metabolic Rate in Freely Moving Mice from Indirect Calorimetry Data

PLoS ONE ◽  
2012 ◽  
Vol 7 (5) ◽  
pp. e36162 ◽  
Author(s):  
Jan Bert Van Klinken ◽  
Sjoerd A. A. van den Berg ◽  
Louis M. Havekes ◽  
Ko Willems Van Dijk
Keyword(s):  
Energy Expenditure ◽  
Metabolic Rate ◽  
Indirect Calorimetry ◽  
Resting Metabolic Rate ◽  
Related Energy ◽  
Freely Moving ◽  
Calorimetry Data

scholarly journals The role of indirect calorimetry in assessing of resting metabolic rate in obese children

2018 ◽  
Vol 64 (2) ◽  
pp. 130-136 ◽  
Author(s):  
Pavel L. Okorokov
Keyword(s):  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Gold Standard ◽  
Resting Metabolic Rate ◽  
High Variability ◽  
Basal Metabolism ◽  
Obese Children ◽  
New Techniques ◽  
Daily Energy

Basal metabolism accounts for more than half of daily energy expenditure and characterizes energy expenditure necessary to maintain the vital body functions at rest. The lean body mass makes the greatest contribution to the formation of basal metabolism. The «gold standard» for assessing basal metabolism is indirect respiratory calorimetry. This technique also evaluates, apart from basal metabolism, the rate of macronutrient oxidation, which is an important component of a personalized diet. In clinical practice, formulas for calculating basal metabolism are widely used, but their accuracy in children should be verified. Indirect calorimetry is characterized by a high variability of the measured parameters, which is related to the experimental peculiarities. This review briefly describes the main techniques for assessing basal metabolism and the methodology of indirect respiratory calorimetry in adults and its use in the child population. Also, we provide the literature data on the accuracy of assessing basal metabolism in obese children based on the most commonly used calculation formulas. Investigation of the energy metabolism features is necessary to elucidate the mechanisms of obesity pathogenesis and develop new techniques for its prevention and treatment.

scholarly journals Intra- and inter-individual variations in energy expenditure of 14–15-year-old schoolgirls as determined by indirect calorimetry

1993 ◽  
Vol 69 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Hannelore Rieper ◽  
H. Karst ◽  
R. Noack ◽  
D. Johnsen
Keyword(s):  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Resting Metabolic Rate ◽  
Bicycle Ergometer ◽  
Individual Variability ◽  
Metabolic Rates ◽  
Individual Variations ◽  
Within Subjects ◽  
Vacuum Cleaning ◽  
The Mean

Eleven 14–15-year-old schoolgirls were investigated four times within 1 year to determine variations in energy expenditure between individuals (inter-individual variability) and within subjects (intra-individual variability). Indirect calorimetry was used to determine metabolic rates in the fasting and resting state (RMR), and during physical activities which were grouped into standardized and non-standardized activities. Analyses of variance supplied information about intra- and inter-individual variabilities of rates of energy expenditure. The mean resting metabolic rate in adolescent girls was 4.41 (SD 0.40) kJ/min. The overall coefficient of variation (9.1 %) was approximately twice as high as the mean coefficient within subjects (4.3%). The reproducibility of the RMR of the girls was high (significant F value of variance analysis), even over a prolonged investigation of 1 year. This seemed to depend primarily on the constant body weight during the period of investigation. A workload of 30 W on a bicycle ergometer and walking at an individually chosen speed did not reveal significant differences between inter- and intra-individual variabilities of energy metabolic rates. However, in most non- standardized activities, e.g. relaxation at home, washing dishes and vacuum cleaning, inter-individual variability was significantly higher than intra-individual variability. There are true differences in energy expenditure rates between subjects which may be demonstrated by duplicated measurements. Conclusions on future experimental design were drawn, where differences between groups rather than between individuals are to be studied.

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