Variability in results from predicted resting energy needs as compared to measured resting energy expenditure in Korean children

2009 ◽  
Vol 29 (11) ◽  
pp. 777-783 ◽  
Author(s):  
Jeannine C. Lawrence ◽  
Hyun-Mi Lee ◽  
Jae-Hee Kim ◽  
Eun-Kyung Kim
2004 ◽  
Vol 65 (3) ◽  
pp. 124-130 ◽  
Author(s):  
S. Eileen Hogan

Energy requirements of children and adolescents with cerebral palsy appear to be disease-specific and different from the current recommendations for healthy children, varying depending upon functional capacity, degree of mobility, severity of disease, and level of altered metabolism. Feeding problems are prevalent in many of these children, and can result in inadequate energy intake. Wasting of voluntary muscles, a common symptom of cerebral palsy, contributes to reduced resting energy needs; nevertheless, the location of the central nervous system lesion may also influence energy requirements. To guarantee individualized, accurate, and optimal energy recommendations for this population, resting energy expenditure should preferentially be measured by indirect calorimetry. Equations and formulae to predict healthy people's resting energy expenditure are available, but tend to overestimate these children's energy needs. Future studies should address the role of the central nervous system in regulating energy metabolism in this population. When adequately nourished, children and adolescents with cerebral palsy appear more tranquil and require decreased feeding time, which gives caregivers time to develop the child's functional independence and character. Understanding energy requirements of this population will provide caregivers and health professionals with guidelines for providing optimal nutritional status.


1997 ◽  
Vol 12 (1) ◽  
pp. 45-49 ◽  
Author(s):  
R. Sheridan ◽  
K. Prelack ◽  
L. Yin ◽  
Vincent Riggi

Changes in energy expenditure with age have been described, but this physiology is not routinely considered when managing critically ill elderly patients. To allow us to avoid the potential problems associated with underfeeding or overfeeding the critically ill elderly population, with approval of the human studies committee and appropriate consent from legal guardians, 25 critically ill patients over 65 years of age requiring mechanical ventilation underwent expired gas indirect calorimetry. If they had a pulmonary artery catheter in place for clinical reasons, reverse-Fick indirect calorimetry was also performed. Data obtained by indirect calorimetry was compared with commonly applied equations for predicting energy expenditure by statistical methods of correlation and limits of agreement. These 25 patients had an average age of 74 ± 1.23 (standard error of the mean) and an average APACHE II score of 15. Predictive equations correlated poorly with measured resting energy expenditure, and although they showed reasonable bias, they were imprecise in their estimation of resting energy expenditure. These data suggest that energy expenditure in critically ill, mechanically ventilated elderly patients is highly variable. Although generally overestimating energy needs, currently available equations for predicting energy expenditure in this population are associated with significant bias and imprecision, which may lead to both overfeeding and underfeeding. Although these equations may be suitable as a basis of initiating nutritional support, energy provisions should ideally be guided by indirect calorimetry.


Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 340
Author(s):  
Edyta Łuszczki ◽  
Anna Bartosiewicz ◽  
Katarzyna Dereń ◽  
Maciej Kuchciak ◽  
Łukasz Oleksy ◽  
...  

Establishing the amount of energy needed to cover the energy demand of children doing sport training and thus ensuring they achieve an even energy balance requires the resting energy expenditure (REE) to be estimated. One of the methods that measures REE is the indirect calorimetry method, which may be influenced by many factors, including body composition, gender, age, height or blood pressure. The aim of the study was to assess the correlation between the resting energy expenditure of children regularly playing football and selected factors that influence the REE in this group. The study was conducted among 219 children aged 9 to 17 using a calorimeter, a device used to assess body composition by the electrical bioimpedance method by means of segment analyzer and a blood pressure monitor. The results of REE obtained by indirect calorimetry were compared with the results calculated using the ready-to-use formula, the Harris Benedict formula. The results showed a significant correlation of girls’ resting energy expenditure with muscle mass and body height, while boys’ resting energy expenditure was correlated with muscle mass and body water content. The value of the REE was significantly higher (p ≤ 0.001) than the value of the basal metabolic rate calculated by means of Harris Benedict formula. The obtained results can be a worthwhile suggestion for specialists dealing with energy demand planning in children, especially among those who are physically active to achieve optimal sporting successes ensuring proper functioning of their body.


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