scholarly journals Evolution of Resting Energy Expenditure, Respiratory Quotient, and Adiposity in Infants Recovering from Corrective Surgery of Major Congenital Gastrointestinal Tract Anomalies: A Cohort Study

Nutrients ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 3093
Author(s):  
Luís Pereira-da-Silva ◽  
Susana Barradas ◽  
Ana Catarina Moreira ◽  
Marta Alves ◽  
Ana Luisa Papoila ◽  
...  
Keyword(s):  
Cohort Study ◽  
Gastrointestinal Tract ◽  
Energy Expenditure ◽  
Preterm Infants ◽  
Respiratory Quotient ◽  
Linear Regression Analysis ◽  
Resting Energy Expenditure ◽  
Explanatory Models ◽  
Corrective Surgery ◽  
Resting Energy

This cohort study describes the evolution of resting energy expenditure (REE), respiratory quotient (RQ), and adiposity in infants recovering from corrective surgery of major congenital gastrointestinal tract anomalies. Energy and macronutrient intakes were assessed. The REE and RQ were assessed by indirect calorimetry, and fat mass index (FMI) was assessed by air displacement plethysmography. Longitudinal variations over time are described. Explanatory models for REE, RQ, and adiposity were obtained by multiple linear regression analysis. Twenty-nine infants were included, 15 born preterm and 14 at term, with median gestational age of 35.3 and 38.1 weeks and birth weight of 2304 g and 2935 g, respectively. In preterm infants, median REE varied between 55.7 and 67.4 Kcal/kg/d and median RQ increased from 0.70 to 0.86–0.92. In term infants, median REE varied between 57.3 and 67.9 Kcal/kg/d and median RQ increased from 0.63 to 0.84–0.88. Weight gain velocity was slower in term than preterm infants. FMI, assessed in a subset of 15 infants, varied between a median of 1.7 and 1.8 kg/m2 at term age. This low adiposity may be related to poor energy balance, low fat intakes, and low RQ¸ that were frequently recorded in several follow-up periods.

scholarly journals Bach music in preterm infants: no ‘Mozart effect’ on resting energy expenditure

2013 ◽  
Vol 34 (2) ◽  
pp. 153-155 ◽  
Author(s):  
H Rosenfeld Keidar ◽  
D Mandel ◽  
F B Mimouni ◽  
R Lubetzky
Keyword(s):  
Energy Expenditure ◽  
Preterm Infants ◽  
Resting Energy Expenditure ◽  
Mozart Effect ◽  
Resting Energy

scholarly journals New Predictive Equations for Resting Energy Expenditure in Normal to Overweight and Obese Population (P16-048-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Ali Almajwal ◽  
Mahmoud Abulmeaty
Keyword(s):  
Regression Analysis ◽  
Energy Expenditure ◽  
Linear Regression Analysis ◽  
Resting Energy Expenditure ◽  
Accurate Prediction ◽  
Future Research ◽  
Predictive Equations ◽  
Men And Women ◽  
New Equation ◽  
Resting Energy

Abstract Objectives The unique demographic and dietary characteristics of our population require the development of a new equation to estimate the resting energy expenditure (REE). This study presented new equations characteristic to our population. Methods A set of predictive equations for REE was derived for 427 healthy male and female subjects (aged 18–57 ± 14 years). Measurement of REE (REEm) was done by the indirect calorimetry (IC) and its prediction (REEp) by using nine equations. REEp was compared with REEm to determine the predictive accuracy of these equations. Using IC and anthropometrics for stepwise linear regression analysis, a new equation to predict REE of Saudi men and women was developed. Results Using a number of parameters (bias, underprediction, overprediction, % accurate prediction), our results suggested that almost all (9/9 in men and 7/9 in women) equations either underpredicted or overpredicted (2/9) REE. None of the already existing equations showed an acceptable REEp/REEm difference as low as 5%, and an accurate prediction (∼55%) at the individual level. Based on these findings, a new prediction equation (hereafter referred to as Almajwal–Abulmeaty [AA] equation) was developed using this study's data, after a rigorous stepwise regression analysis using the following formula: REE = 3832.955 + BW [Kg] × 48.037 − Ht [Cm] × 30.642 + gender × 141.268 − age [years] × 4.525. The regression model accounted for about 70% of the variance in REEm (R2 = 0.702). Conclusions Previous equations likely over- or underpredicted REE. Therefore, the new predictive “AA equation” developed in this study is recommended for the estimation of REE in young to middle-aged Saudi men and women with different body mass index. Future research is also required for further clinical and cross-validation of this new equation. Funding Sources This study was supported by the King Abdulaziz City for Science and Technology (grant number 11 – MED 1966 – 02). Supporting Tables, Images and/or Graphs

The validity of resting energy expenditure predictive equations in adults with central obesity: A sub-sample of the RaNCD cohort study

2019 ◽  
Vol 25 (3) ◽  
pp. 217-224 ◽  
Author(s):  
Yahya Pasdar ◽  
Shima Moradi ◽  
Behrooz Hamzeh ◽  
Farid Najafi ◽  
Seyed Mostafa Nachvak ◽  
...  
Keyword(s):  
Cohort Study ◽  
Energy Expenditure ◽  
Central Obesity ◽  
Pearson Correlation ◽  
Resting Energy Expenditure ◽  
World Health ◽  
Predictive Equations ◽  
Significant Difference ◽  
Health Organization ◽  
Resting Energy

Background: There are different equations for estimating Resting Energy Expenditure (REE). However, these equations were mainly developed based on populations of western countries. Aim: The present study was conducted to determine the validity of REE predictive equations in adults with central obesity. Methods: This study was conducted with 129 adults with central obesity aged 35–65 years, a sub-sample from a large cohort study (Western Iran), Kurdish population. REE was measured by indirect calorimetry (IC) and REE predictive equations. Data were analysed using Pearson correlation, paired t-test, concordance correlation coefficient (CCC), mean squared deviation (MSD), level of agreement (LOA) and Bland-Altman plot. Results: All REE predictive equations had low CCC and high LOA. Although there was no statistically significant difference in the REE measured with IC and the REE predicted with the Food and Agriculture Organization/World Health Organization/United Nations University (FAO/WHO/UNU), FAO/WHO/UNU (Height), Muller and revised Harris-Benedict equations ( P = 0.874, 0.113, 0.619, 0.143 and P = 0.121), other equations had statistically significant differences with IC ( P<0.001). In addition, the highest correlation was found between the IC (r = 0.682). The least difference was related to the FAO/WHO/UNU equation, with an agreement limit of -507.96 to 500.79 Kcal/day, with a 95% confidence interval. Conclusions: The results of this study showed that the FAO/WHO/UNU, Muller, revised Harris-Benedict equations and Mifflin St Jeor equations are relatively acceptable for estimating REE. However, these prediction equations are not good at predicting REE; more precise equations are needed to apply for different ethnic groups.

Effects Of Submaximal Exercise On Resting Energy Expenditure And Respiratory Quotient In Young Women

2006 ◽  
Vol 38 (Supplement) ◽  
pp. S458
Author(s):  
Lidia G. De Leon ◽  
Maria Jesus de Muñoz ◽  
Graciela Rodriguez ◽  
Jorge A. Jimenez
Keyword(s):  
Energy Expenditure ◽  
Young Women ◽  
Respiratory Quotient ◽  
Resting Energy Expenditure ◽  
Submaximal Exercise ◽  
Resting Energy

scholarly journals Increased energy expenditure in hemodialysis patients.

1996 ◽  
Vol 7 (12) ◽  
pp. 2646-2653
Author(s):  
T A Ikizler ◽  
R L Wingard ◽  
M Sun ◽  
J Harvell ◽  
R A Parker ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Respiratory Quotient ◽  
Resting Energy Expenditure ◽  
Hemodialysis Patients ◽  
Chronic Hemodialysis ◽  
Multiple Factors ◽  
Control Subjects ◽  
Protein Calorie Malnutrition ◽  
Resting Energy

Malnutrition is prevalent in chronic hemodialysis patients and is related to multiple factors; the hemodialysis procedure itself has been suggested as a catabolic factor. To examine the possible role of hemodialysis on energy metabolism, resting energy expenditure and respiratory quotient in ten chronic hemodialysis patients was measured in this study, using a whole-room indirect calorimeter. Measurements were done continuously: for 2 h before hemodialysis, during 4 h of hemodialysis, for 2 h after hemodialysis, and separately on a nondialysis day after 12 h of fasting. Age-, sex-, and body mass index-matched healthy volunteers were used as control subjects. Chronic hemodialysis patients have a significantly higher resting energy expenditure on a nondialysis day (1.18 +/- 0.15 kcal/min; P < 0.01) as compared with control subjects (1.10 +/- 0.16 kcal/ min). Resting energy expenditure further increased significantly during the hemodialysis procedure (1.32 +/- 0.18 kcal/min, averaged over the 4 h of hemodialysis; P < 0.01 versus predialysis) and was also significantly higher compared with the postdialysis period and nondialysis day resting energy expenditure (P < 0.001 for both). This effect was most pronounced during the first (1.37 +/- 0.19 kcal/min) and second (1.33 +/- 0.18 kcal/min) hours of hemodialysis (P < 0.001 for both). Respiratory quotient was not significantly affected by hemodialysis. It was concluded that chronic hemodialysis patients have higher than normal resting energy expenditure levels, which is further increased during hemodialysis. This process may significantly potentiate the protein-calorie malnutrition seen in this patient population.

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