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 Comparison of the accuracy of resting metabolic rate in children with simple obesity using calculation formulas and indirect respiratory calorimetry

2019 ◽  
Vol 16 (2) ◽  
pp. 54-59
Author(s):  
Pavel L. Okorokov ◽  
Olga V. Vasyukova ◽  
Tatiana Y. Shiryaeva
Keyword(s):  
Metabolic Rate ◽  
Gold Standard ◽  
Accurate Result ◽  
Resting Metabolic Rate ◽  
Mean Difference ◽  
Labor Intensity ◽  
Wide Spread ◽  
Obese Children ◽  
Daily Energy ◽  
Simple Obesity

BACKGROUND: A prerequisite for planning a diet for weight loss in obese children is to determine the level of resting metabolic rate (RMR). The gold standard for estimating the daily energy consumption of rest is indirect respiratory calorimetry. However, given its high cost and labor intensity, various calculation formulas are widely used in clinical practice. AIMS: to determine the accuracy of resting metabolic rate estimated by calculation formulas and indirect respiratory calorimetry in children with simple obesity. MATERIALS AND METHODS: The study included 100 children aged 9 to 18 years, with a simple constitutional-exogenous obesity, which assessed the resting metabolic rate estimated by calculation formulas and indirect respiratory calorimetry. RESULTS: The Molnar formula most accurately estimates resting metabolic rate, comparable to the results of indirect respiratory calorimetry in 64% of cases. The Harris-Benedict and IOM formulas yield an accurate result in 53 and 51% of the cases, respectively. The least accurate result is shown by WHO formula (22%). The minimum mean difference between the calculated and actual basal metabolic rate in obese boys for the Molnar formula is 18 kcal (CI: -53 to 90, 95% LOA from -490 to 527), in girls: -0.7 kcal (CI) : -65 - 63, 95% LOA from -435 to 434). Attention is drawn to the large mean difference and wide spread of the boundaries of the agreement of the studied indicators in obese children. In the evaluation, depending on the degree of obesity, it is shown that the formula Molnar has the highest accuracy, however, in children with morbid obesity, the accuracy of the evaluation is significantly reduced. CONCLUSIONS: Indirect respiratory calorimetry is the preferred method of assessing resting metabolic rate in children with simple obesity.

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 Context-dependent correlation between resting metabolic rate and daily energy expenditure in wild chipmunks

2012 ◽  
Vol 216 (3) ◽  
pp. 418-426 ◽  
Author(s):  
V. Careau ◽  
D. Reale ◽  
D. Garant ◽  
F. Pelletier ◽  
J. R. Speakman ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Daily Energy Expenditure ◽  
Daily Energy ◽  
Context Dependent ◽  
Dependent Correlation

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

Energy Expenditure During Acute Periods of Sitting, Standing, and Walking

2016 ◽  
Vol 13 (6) ◽  
pp. 573-578 ◽  
Author(s):  
Seth A. Creasy ◽  
Renee J. Rogers ◽  
Thomas D. Byard ◽  
Robert J. Kowalsky ◽  
John M. Jakicic
Keyword(s):  
Energy Expenditure ◽  
Sedentary Behavior ◽  
Indirect Calorimetry ◽  
Transition Period ◽  
Laptop Computer ◽  
Experimental Conditions ◽  
Increase Energy Expenditure ◽  
Potential Benefits ◽  
Harmful Effects

Background:Identifying strategies to increase energy expenditure (EE) may help combat the harmful effects of sedentary behavior. This study examined EE during sitting, standing, and walking.Methods:Participants (N = 74) were randomized to 2 of the following activities: sitting using a laptop computer (SIT-C), sitting watching television (SIT-T), standing watching television (STAND), and walking at a self-selected pace ≤3.0 (mph) (WALK). Each activity lasted 15 minutes with a 3-minute transition period between activities. The experimental conditions were: SIT-C to STAND (N = 18), SIT-T to WALK (N = 18), STAND to SIT-C (N = 20), and WALK to SIT-T (N = 18). EE was measured using indirect calorimetry.Results:Based on the first activity performed, EE during WALK (55.92 ± 14.19 kcal) was significantly greater than SIT-C (19.63 ± 6.90 kcal), SIT-T (18.66 ± 4.01 kcal), and STAND (21.92 ± 5.08 kcal) (P < .001). Cumulative EE in SIT-T to WALK (74.50 ± 17.88 kcal) and WALK to SIT-T (82.72 ± 21.70 kcal) was significantly greater than EE in SIT-C to STAND (45.38 ± 14.78 kcal) and STAND to SIT-C (45.64 ± 9.69 kcal) (P < .001).Conclusions:Conclusion: Substituting periods of sitting or standing with walking significantly increases EE, but substituting periods of sitting with standing may not affect EE. Thus, the potential benefits of standing as opposed to sitting need further investigation beyond the role of EE.

Winter energy expenditure and the distribution of southern flying squirrels

1991 ◽  
Vol 69 (10) ◽  
pp. 2548-2555 ◽  
Author(s):  
Paul Stapp ◽  
Peter J. Pekins ◽  
William W. Mautz
Keyword(s):  
Energy Expenditure ◽  
Heat Loss ◽  
Current Distribution ◽  
Basal Metabolism ◽  
Energy Budgets ◽  
Late Winter ◽  
Daily Energy Expenditure ◽  
Flying Squirrels ◽  
Tree Cavities ◽  
Daily Energy

The southern flying squirrel (Glaucomys volans) forms large aggregations inside nest-lined tree cavities to reduce exposure to winter temperatures. We measured oxygen consumption of individuals and grouped flying squirrels in Plexiglas and nest-box chambers in New Hampshire to determine savings provided by huddling and nest construction. Because G. volans breeds during late winter, we also measured energy expenditure of females during gestation and lactation. These data were used to construct daily energy budgets for flying squirrels during winter and to investigate the relationship between this species' cold tolerance and its current distribution. Flying squirrels had lower basal metabolism (0.95 cm3 O2∙g−1∙h−1) and rate of heat loss (0.11 cm3 O2∙g−1∙h−1∙ °C−1) than predicted according to mass. Peak reproductive costs (1 week postparturition) were 170% of nonbreeding requirements. At 9 °C, huddling in groups of three and six reduced energy expenditure by 27 and 36%, respectively. Compared with individuals without nests, nest insulation decreased heat loss by 37% for single squirrels and reduced lower critical temperature from 26.5 to 12.2 °C for groups of six. As estimated from our budget, aggregating reduces winter daily energy expenditure by 26–33%. At the northern range boundary, daily expenditure for squirrels using both aggregations and nests (2.5 times basal metabolism) and for females during peak lactation (3.9 times basal metabolism) was similar to estimates of maximal daily energy expenditure in the literature. We speculate that additional thermoregulatory costs and the decreased abundance of hard mast for winter caches prevent G. volans from occupying areas north of its current distribution.

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.

Sign in / Sign up

Export Citation Format

Share Document