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Posson PM, Hibbing PR, Damiot A, Carbuhn AF, White DA, Shakhnovich V, Sullivan D, Shook RP. Resting Energy Expenditure Equations Have Lower Accuracy for Adolescents with Overweight/Obesity Versus Healthy-Weight Adolescents. Child Obes 2024. [PMID: 39052506 DOI: 10.1089/chi.2024.0226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/27/2024]
Abstract
Objective: The objectives of the study were (1) to assess whether resting energy expenditure (REE) equations have comparable validity for adolescents with overweight/obesity vs. adolescents with healthy weight and (2) to examine determinants of measured REE in adolescents with overweight/obesity vs. adolescents with healthy weight. Methods: Ten equations were used to predict REE for 109 adolescents (70% males; 36.7% with overweight/obesity); 95% equivalence testing was used to assess how well each equation agreed with the criterion measure of indirect calorimetry. Linear regression models were fitted to examine how much REE variance was accounted for by age, sex, race, fat-free mass (FFM), and fat mass. Results: For adolescents with healthy weight, all ten equations were significantly equivalent to the criterion measure within ±8.4% (p < 0.05), whereas for participants with overweight/obesity, only three equations were equivalent within the same range (p < 0.05). Controlling for age, sex, race, fat mass, and FFM accounted for 74% of REE variance. FFM explained the greatest amount (26%) of variance in REE, while weight status itself explained an additional 22%. Conclusions: Prediction equations tend to be more accurate for adolescents with healthy weight than adolescents with overweight/obesity unless the original sample specifically included participants with overweight/obesity. Determinants of REE are similar regardless of weight status.
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Affiliation(s)
- Paige M Posson
- Center for Children's Healthy Lifestyles and Nutrition, Children's Mercy Kansas City, Kansas, Missouri, USA
| | - Paul R Hibbing
- Center for Children's Healthy Lifestyles and Nutrition, Children's Mercy Kansas City, Kansas, Missouri, USA
- Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, Illinois, USA
| | - Anthony Damiot
- Center for Children's Healthy Lifestyles and Nutrition, Children's Mercy Kansas City, Kansas, Missouri, USA
| | - Aaron F Carbuhn
- Department of Dietetics and Nutrition, University of Kansas Medical Center, Kansas city, Kansas, USA
| | - David A White
- Ward Family Heart Center, Children's Mercy Kansas City, Kansas, Missouri, USA
- School of Medicine, University of Missouri Kansas City, Kansas, Missouri, USA
| | | | - Debra Sullivan
- Department of Dietetics and Nutrition, University of Kansas Medical Center, Kansas city, Kansas, USA
| | - Robin P Shook
- Center for Children's Healthy Lifestyles and Nutrition, Children's Mercy Kansas City, Kansas, Missouri, USA
- School of Medicine, University of Missouri Kansas City, Kansas, Missouri, USA
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2
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Mezzomo TR, Dias MRMG, Vilela RM, Pereira RM. Accuracy of equations for estimating resting energy expenditure in children and adolescents living with phenylketonuria. J Hum Nutr Diet 2023; 36:1661-1674. [PMID: 37421197 DOI: 10.1111/jhn.13200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 06/12/2023] [Indexed: 07/10/2023]
Abstract
BACKGROUND Measuring resting energy expenditure (REE) in individuals living with phenylketonuria (PKU) using indirect calorimetry (IC) is unusual in healthcare facilities because it requires specific protocols and expensive equipment. Considering that determining REE is crucial for devising nutritional strategies for the management of PKU, the aim of this study was to identify the predictive equations that provide the best estimates of REE in children and adolescents living with PKU and to propose a predictive equation for determining REE in this population. METHODS An REE concordance study was conducted with children and adolescents living with PKU. Anthropometric and body composition assessments using bioimpedance and REE assessment using IC were performed. The results were compared to 29 predictive equations. RESULTS Fifty-four children and adolescents were evaluated. The REE obtained using IC differed from all estimated REE, except Henry's equation for male children (p = 0.058). Only this equation showed good agreement (0.900) with IC. Eight variables were associated with the REE obtained using IC with emphasis on fat-free mass (kg) (r = 0.786), weight (r = 0.775), height (r = 0.759) and blood phenylalanine (r = 0.503). With these variables, three REE equations were suggested, with R2 = 0.660, 0.635 and 0.618, respectively, and the third equation, which involves weight and height, showed adequate sample size for a statistical power of 0.942. CONCLUSION Most equations, not specific for individuals living with PKU, overestimate the REE of this population. We propose a predictive equation for assessing REE for children and adolescents living with PKU to be used in settings where IC is not available.
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Affiliation(s)
- Thais R Mezzomo
- Graduate Master's and Doctoral Program in Child and Adolescent Health, Federal University of Parana, Curitiba, Brazil
| | | | - Regina M Vilela
- Department of Nutrition and Graduate Program in Food and Nutrition, Federal University of Parana, Curitiba, Brazil
| | - Rosana Marques Pereira
- Graduate Master's and Doctoral Program in Child and Adolescent Health, Federal University of Parana, Curitiba, Brazil
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Wang X, Mao D, Xu Z, Wang Y, Yang X, Zhuo Q, Tian Y, Huan Y, Li Y. Predictive Equation for Basal Metabolic Rate in Normal-Weight Chinese Adults. Nutrients 2023; 15:4185. [PMID: 37836469 PMCID: PMC10574416 DOI: 10.3390/nu15194185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 09/20/2023] [Accepted: 09/26/2023] [Indexed: 10/15/2023] Open
Abstract
This study aimed to develop a predictive equation for basal metabolic rate (BMR) in normal-weight Chinese adults and provide a reference for establishing the national recommended dietary energy intake. A new equation for BMR was derived from a sample of 516 normal-weight Chinese adults (men = 253, women = 263), and this sample was collected from two previous studies. Furthermore, the accuracy of this new equation and eight other previous predictive equations was reviewed. The agreement and reliability were compared in terms of bias, accuracy, the intraclass correlation coefficient, and Bland-Altman plots between predictive equations. In addition, the newly developed equation was further verified using a small independent sample, which contained 41 healthy Chinese adults (men = 21, women = 20). The measured BMR (mBMR) of all participants, measured using indirect calorimetry, was 1346.2 ± 358.0 kcal/d. Thirty participants were excluded based on Cook's distance criteria (Cook's distance of ≥0.008). Previous equations developed by Henry, Schofield, Harris-Benedict (H-B), Yang, and Hong overestimated the BMR of healthy Chinese adults. The present equation displayed the smallest average bias (0.2 kcal/d) between the mBMR and predicted basal metabolic rate (pBMR). The limits of agreement of the present equation from Bland-Altman plots were -514.3 kcal/d and 513.9 kcal/d, which is the most narrow and balanced limit of agreement. Moreover, in the verification of the testing database, the pBMR of the new equation was not significantly different from the mBMR, and the accuracy was 75.6%. Compared with pre-existing equations, the present equation is more applicable to the prediction of BMR in healthy Chinese adults. However, further studies are required to verify the accuracy of this new equation.
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Affiliation(s)
- Xiaojing Wang
- Key Laboratory of Trace Element Nutrition of National Health Commission (NHC), National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.W.); (D.M.); (Y.W.); (X.Y.)
| | - Deqian Mao
- Key Laboratory of Trace Element Nutrition of National Health Commission (NHC), National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.W.); (D.M.); (Y.W.); (X.Y.)
| | - Zechao Xu
- Beijing Chaoyang District Center for Disease Control and Prevention, Beijing 100050, China;
| | - Yongjun Wang
- Key Laboratory of Trace Element Nutrition of National Health Commission (NHC), National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.W.); (D.M.); (Y.W.); (X.Y.)
- Department of Clinical Nutrition, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China
| | - Xiaoguang Yang
- Key Laboratory of Trace Element Nutrition of National Health Commission (NHC), National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.W.); (D.M.); (Y.W.); (X.Y.)
- China-DRIs Expert Committee on Macronutrients, Beijing 100050, China
| | - Qin Zhuo
- Key Laboratory of Trace Element Nutrition of National Health Commission (NHC), National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.W.); (D.M.); (Y.W.); (X.Y.)
- China-DRIs Expert Committee on Macronutrients, Beijing 100050, China
| | - Ying Tian
- Department of Nutrition and Food Hygiene, School of Public Health, Yangzhou University, Yangzhou 225009, China;
| | - Yuping Huan
- Department of Cuisine and Nutrition, School of Food Science and Engineering, Yangzhou University, Yangzhou 225127, China;
| | - Yajie Li
- Changzhi Medical College, Changzhi 046000, China;
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4
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Bittencourt VZ, Freire R, Alcantara JMA, Loureiro LL, de Oliveira TM, Cahuê FLC, Itaborahy A, Pierucci APTR. Effect of gas exchange data selection methods on resting metabolic rate estimation in young athletes. PLoS One 2023; 18:e0291511. [PMID: 37729178 PMCID: PMC10511082 DOI: 10.1371/journal.pone.0291511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 08/30/2023] [Indexed: 09/22/2023] Open
Abstract
This cross-sectional study analysed the effect of the gas exchange data selection methods on the resting metabolic rate (RMR) estimation and proposed a protocol shortening providing a suitable RMR estimation for young athletes. Sixty-six healthy young Brazilian athletes performed a 30-minute RMR assessment. Different methods of gas exchange data selection were applied: short and long-time intervals, steady-state (SSt), and filtering. A mixed one-way ANOVA was used to analyse the mean differences in gas exchange, RMR, respiratory exchange ratio (RER), and coefficients of variation across all methods. Additionally, paired Student's t-test were used to compare the first and best SSt RMR values for each SSt method (3, 4, and 5-min). The 5-min SSt method provided the lowest RMR estimate (1454 kcal.day-1). There was a statistical difference between methods (F = 2.607, p = 0.04), but they presented a clinically irrelevant absolute difference (~36 kcal.day-1). There were no differences in RER among methods. In addition, using the SSt method, 12 minutes of assessment were enough to obtain a valid estimation of RMR. The 5-min SSt method should be employed for assessing the RMR among young athletes, considering the possibility of obtaining a shortened assessment (~12 min) with an acceptable and low coefficient of variation.
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Affiliation(s)
- Victor Zaban Bittencourt
- DAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Raul Freire
- Olympic Laboratory, Brazil Olympic Committee, Rio de Janeiro, Brazil
| | - Juan M. A. Alcantara
- Institute for Innovation & Sustainable Food Chain Development, Department of Health Sciences, Public University of Navarre, Campus Arrosadía, Pamplona, Spain
- Navarra Institute for Health Research, IdiSNA, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Luiz Lannes Loureiro
- DAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Taillan Martins de Oliveira
- DAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Fábio Luiz Candido Cahuê
- DAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Alex Itaborahy
- DAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Anna Paola Trindade Rocha Pierucci
- DAFEE Laboratory, Graduate Program in Nutrition, Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
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Juriaans AF, Trueba-Timmermans DJ, Kerkhof GF, Grootjen LN, Walet S, Sas TCJ, Rotteveel J, Zwaveling-Soonawala N, Verrijn Stuart AA, Hokken-Koelega ACS. The Effects of 5 Years of Growth Hormone Treatment on Growth and Body Composition in Patients with Temple Syndrome. Horm Res Paediatr 2023; 96:483-494. [PMID: 36977395 DOI: 10.1159/000530420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/20/2023] [Indexed: 03/30/2023] Open
Abstract
INTRODUCTION Temple syndrome (TS14) is a rare imprinting disorder caused by maternal uniparental disomy of chromosome 14, paternal deletion of 14q32.2, or an isolated methylation defect. Most patients with TS14 develop precocious puberty. Some patients with TS14 are treated with growth hormone (GH). However, evidence for the effectiveness of GH treatment in patients with TS14 is limited. METHODS This study describes the effect of GH treatment in 13 children and provides a subgroup analysis of 5 prepubertal children with TS14. We studied height, weight, body composition by dual-energy X-ray absorptiometry, resting energy expenditure (REE), and laboratory parameters during 5 years of GH treatment. RESULTS In the entire group, mean (95% CI) height SDS increased significantly during 5 years of GH treatment from -1.78 (-2.52; -1.04) to 0.11 (-0.66; 0.87). Fat mass percentage SDS decreased significantly during the first year of GH, and lean body mass (LBM) SDS and LBM index increased significantly during 5 years of treatment. IGF-1 and IGF-BP3 levels rose rapidly during GH treatment, and the IGF-1/IGF-BP3 molar ratio remained relatively low. Thyroid hormone levels, fasting serum glucose, and insulin levels remained normal. In the prepubertal group, median (interquartile range [IQR]) height SDS, LBM SDS, and LBM index also increased. REE was normal at start and did not change during 1 year of treatment. Five patients reached adult height and their median (IQR) height SDS was 0.67 (-1.83; -0.01). CONCLUSION GH treatment in patients with TS14 normalizes height SDS and improves body composition. There were no adverse effects or safety concerns during GH treatment.
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Affiliation(s)
- Alicia F Juriaans
- Dutch Reference Center for Prader-Willi Syndrome/Prader-Willi-like, Rotterdam, The Netherlands
- Department of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
- Dutch Growth Research Foundation, Rotterdam, The Netherlands
| | - Demi J Trueba-Timmermans
- Dutch Reference Center for Prader-Willi Syndrome/Prader-Willi-like, Rotterdam, The Netherlands
- Department of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
- Dutch Growth Research Foundation, Rotterdam, The Netherlands
| | - Gerthe F Kerkhof
- Dutch Reference Center for Prader-Willi Syndrome/Prader-Willi-like, Rotterdam, The Netherlands
- Department of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Lionne N Grootjen
- Dutch Reference Center for Prader-Willi Syndrome/Prader-Willi-like, Rotterdam, The Netherlands
- Department of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
- Dutch Growth Research Foundation, Rotterdam, The Netherlands
| | - Sylvia Walet
- Dutch Reference Center for Prader-Willi Syndrome/Prader-Willi-like, Rotterdam, The Netherlands
- Department of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Theo C J Sas
- Department of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
- Diabeter, Center for Pediatric and Adult Diabetes Care and Research, Rotterdam, The Netherlands
| | - Joost Rotteveel
- Department of Pediatric Endocrinology, Emma Children's Hospital, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Nitash Zwaveling-Soonawala
- Department of Pediatric Endocrinology, Emma Children's Hospital, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Annemarie A Verrijn Stuart
- Department of Pediatrics, Subdivision of Endocrinology, Wilhelmina Children's Hospital, Utrecht University Medical Center, Utrecht, The Netherlands
| | - Anita C S Hokken-Koelega
- Dutch Reference Center for Prader-Willi Syndrome/Prader-Willi-like, Rotterdam, The Netherlands
- Department of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
- Dutch Growth Research Foundation, Rotterdam, The Netherlands
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Łuszczki E, Jagielski P, Bartosiewicz A, Dereń K, Matłosz P, Kuchciak M, Oleksy Ł, Stolarczyk A, Mazur A. Development and validation of new predictive equations for resting energy expenditure in physically active boys. Sci Rep 2023; 13:4527. [PMID: 36941327 PMCID: PMC10027683 DOI: 10.1038/s41598-023-31661-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 03/15/2023] [Indexed: 03/23/2023] Open
Abstract
Measurement or estimation of resting energy expenditure (REE) should be the first step in determining energy demand in physically active boys. The purpose of this study was to develop and validate new equations for resting energy expenditure in male children and adolescents practicing soccer. The cross-sectional studywas carried out among 184 boys in the derivation group and 148 boys in the validation group (mean age 13.20 ± 2.16 years and 13.24 ± 1.75 years, respectively). The calorimeter and device for assessing body composition by bioelectrical impedance analysis (BIA) were used. Model of multiple regression showed that REE can be predicted in this population with Eq. (1) (with height and weight data) or Eq. (2) (with age, height, and fat free mass data). Predictive Eq. (1) had an average error of 51 ± 199 kcal and predictive Eq. (2) - 39 ± 193 kcal. Cohen's d coefficient was 0.2, which confirms the small difference. The bias was 4.7% and 3.9%, respectively. The accuracy was 61.2% in the population for predictive Eq. (1) and 66.2% for predictive Eq. (2). Therefore, the new equations developed and validated in this study are recommended for the estimation of REE in physically active boys, when the use of IC is not feasible or available.
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Affiliation(s)
- Edyta Łuszczki
- Institute of Health Sciences, Medical College of Rzeszów University, Rzeszow, Poland.
| | - Paweł Jagielski
- Department of Nutrition and Drug Research, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Anna Bartosiewicz
- Institute of Health Sciences, Medical College of Rzeszów University, Rzeszow, Poland
| | - Katarzyna Dereń
- Institute of Health Sciences, Medical College of Rzeszów University, Rzeszow, Poland
| | - Piotr Matłosz
- Institute of Physical Culture Sciences, Medical College of Rzeszów University, Rzeszow, Poland
| | - Maciej Kuchciak
- Institute of Physical Culture Sciences, Medical College of Rzeszów University, Rzeszow, Poland
| | - Łukasz Oleksy
- Faculty of Health Sciences, Department of Physiotherapy, Jagiellonian University Medical College, Kraków, Poland
| | - Artur Stolarczyk
- Orthopedic and Rehabilitation Department, Medical University of Warsaw, Warsaw, Poland
| | - Artur Mazur
- Institute of Medical Sciences, Medical College of Rzeszow University, Rzeszow, Poland
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7
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Annan SF, Higgins LA, Jelleryd E, Hannon T, Rose S, Salis S, Baptista J, Chinchilla P, Marcovecchio ML. ISPAD Clinical Practice Consensus Guidelines 2022: Nutritional management in children and adolescents with diabetes. Pediatr Diabetes 2022; 23:1297-1321. [PMID: 36468223 DOI: 10.1111/pedi.13429] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 09/30/2022] [Indexed: 12/07/2022] Open
Affiliation(s)
- S Francesca Annan
- Paediatric Division, University College London Hospitals, London, UK
| | - Laurie A Higgins
- Pediatric, Adolescent and Young Adult Section, Joslin Diabetes Center, Boston, Massachusetts, USA
| | - Elisabeth Jelleryd
- Medical Unit Clinical Nutrition, Karolinska University Hospital, Stockholm, Sweden
| | - Tamara Hannon
- School of Medicine, Indiana University, Indianapolis, Indiana, USA
| | - Shelley Rose
- Diabetes & Endocrinology Service, MidCentral District Health Board, Palmerston North, New Zealand
| | - Sheryl Salis
- Department of Nutrition, Nurture Health Solutions, Mumbai, India
| | | | - Paula Chinchilla
- Women's and Children's Department, London North West Healthcare NHS Trust, London, UK
| | - Maria Loredana Marcovecchio
- Department of Paediatrics, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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8
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Van Schaik J, Burghard M, Lequin MH, van Maren EA, van Dijk AM, Takken T, Rehorst-Kleinlugtenbelt LB, Bakker B, Meijer L, Hoving EW, Fiocco M, Schouten-van Meeteren AYN, Tissing WJE, van Santen HM. Resting energy expenditure in children at risk of hypothalamic dysfunction. Endocr Connect 2022; 11:e220276. [PMID: 35904233 PMCID: PMC9346331 DOI: 10.1530/ec-22-0276] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 06/27/2022] [Indexed: 12/27/2022]
Abstract
Objective Children with suprasellar brain damage are at risk of hypothalamic dysfunction (HD). HD may lead to decreased resting energy expenditure (REE). Decreased REE, however, is not present in all children with HD. Our aim was to assess which children suspect for HD have low REE, and its association with clinical severity of HD or radiological hypothalamic damage. Patients and methods A retrospective cohort study was performed. Measured REE (mREE) of children at risk of HD was compared to predicted REE (pREE). Low REE was defined as mREE <90% of predicted. The mREE/pREE quotient was associated to a clinical score for HD symptoms and to radiological hypothalamic damage. Results In total, 67 children at risk of HD (96% brain tumor diagnosis) with a mean BMI SDS of +2.3 ± 1.0 were included. Of these, 45 (67.2%) had low mREE. Children with severe HD had a significant lower mean mREE/pREE quotient compared to children with no, mild, or moderate HD. Mean mREE/pREE quotient of children with posterior hypothalamic damage was significantly lower compared to children with no or anterior damage. Tumor progression or tumor recurrence, severe clinical HD, and panhypopituitarism with diabetes insipidus (DI) were significant risk factors for reduced REE. Conclusion REE may be lowered in children with hypothalamic damage and is associated to the degree of clinical HD. REE is, however, not lowered in all children suspect for HD. For children with mild or moderate clinical HD symptoms, REE measurements may be useful to distinguish between those who may benefit from obesity treatment that increases REE from those who would be better helped using other obesity interventions.
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Affiliation(s)
- J Van Schaik
- Division of Pediatric Endocrinology, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
- Division of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - M Burghard
- Division of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Department of Exercise Physiology, Child Development & Exercise Center, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M H Lequin
- Division of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Department of Radiology, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - E A van Maren
- Division of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Department of Radiology, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - A M van Dijk
- Department of Dietetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - T Takken
- Division of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Department of Exercise Physiology, Child Development & Exercise Center, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - B Bakker
- Division of Pediatric Endocrinology, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
- Division of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - L Meijer
- Division of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - E W Hoving
- Division of Neurosurgery, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - M Fiocco
- Division of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Institute of Mathematics, Leiden University, Leiden, The Netherlands
| | | | - W J E Tissing
- Division of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Division of Pediatric Oncology, University Medical Centre Groningen, Groningen, The Netherlands
| | - H M van Santen
- Division of Pediatric Endocrinology, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
- Division of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
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9
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Bou Khalil R, Sultan A, Seneque M, Richa S, Lefebvre P, Renard E, Courtet P, Maimoun L, Guillaume S. Clinical Correlates of Measured and Predicted Resting Energy Expenditure in Patients with Anorexia Nervosa: A Retrospective Cohort Study. Nutrients 2022; 14:2727. [PMID: 35807906 PMCID: PMC9269154 DOI: 10.3390/nu14132727] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/24/2022] [Accepted: 06/27/2022] [Indexed: 11/24/2022] Open
Abstract
Resting energy expenditure (REE; i.e., the calorie amount required for 24 h during a non-active period) is an important parameter in nutritional rehabilitation of patients with anorexia nervosa (AN). This study determined whether age, body mass index, AN duration/subtype/specific symptoms/clinical severity, cognitive function alterations, and psychiatric comorbidities influenced REE or the difference between the calculated and estimated REE. Patients with AN who were followed at a daycare treatment facility between May 2017 and January 2020 (n = 138) underwent a complete assessment that included the MINI, Eating Disorder Examination Questionnaire, d2 test of attention, body fat composition by bioelectrical impedance analysis (BIA) and REE measurement by indirect calorimetry (REEIC). AN subtype (N = 66 for restrictive subtype and N = 69 for non-restrictive subtype; p = 0.005), free-fat mass (<0.001), and fat mass (<0.001) were associated with REEIC. Age (p < 0.001), height (p = 0.003), and AN duration (N = 46 for <3 years and N = 82 for ≥3 years; p = 0.012) were associated with the difference between estimated REE (using the Schebendach equation) and measured REEIC. Therefore, the Schebendach equation was adjusted differently in the two patients’ subgroups (AN duration ≤ or >3 years). Overall, REE was higher in patients with restrictive than non-restrictive AN. In the absence of BIA measures, REE-estimating equations should take into account AN duration.
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Affiliation(s)
- Rami Bou Khalil
- Department of Psychiatry, Saint Joseph University-Hôtel Dieu de France Hospital, Mar Mikhael, Beirut 17-5208, Lebanon;
- PSNREC, University of Montpellier, INSERM, CHU de Montpellier, 34295 Montpellier, France; (M.S.); (P.C.); (S.G.)
- UMR CNRS 5203, Institute of Functional Genomics, University of Montpellier, INSERM U1191, 34295 Montpellier, France;
- Department of Psychiatric Emergency and Acute Care, Lapeyronie Hospital, CHRU, 34295 Montpellier, France
| | - Ariane Sultan
- UMR CNRS 5203, Institute of Functional Genomics, University of Montpellier, INSERM U1191, 34295 Montpellier, France;
- Department of Psychiatric Emergency and Acute Care, Lapeyronie Hospital, CHRU, 34295 Montpellier, France
| | - Maude Seneque
- PSNREC, University of Montpellier, INSERM, CHU de Montpellier, 34295 Montpellier, France; (M.S.); (P.C.); (S.G.)
- Department of Psychiatric Emergency and Acute Care, Lapeyronie Hospital, CHRU, 34295 Montpellier, France
| | - Sami Richa
- Department of Psychiatry, Saint Joseph University-Hôtel Dieu de France Hospital, Mar Mikhael, Beirut 17-5208, Lebanon;
| | - Patrick Lefebvre
- Department of Endocrinology, Diabetes and Nutrition, CHRU, 34295 Montpellier, France; (P.L.); (E.R.); (L.M.)
| | - Eric Renard
- Department of Endocrinology, Diabetes and Nutrition, CHRU, 34295 Montpellier, France; (P.L.); (E.R.); (L.M.)
- Institute of Functional Genomics, University of Montpellier, INSERM, CNRS, 34295 Montpellier, France
| | - Philippe Courtet
- PSNREC, University of Montpellier, INSERM, CHU de Montpellier, 34295 Montpellier, France; (M.S.); (P.C.); (S.G.)
- UMR CNRS 5203, Institute of Functional Genomics, University of Montpellier, INSERM U1191, 34295 Montpellier, France;
- Department of Psychiatric Emergency and Acute Care, Lapeyronie Hospital, CHRU, 34295 Montpellier, France
| | - Laurent Maimoun
- Department of Endocrinology, Diabetes and Nutrition, CHRU, 34295 Montpellier, France; (P.L.); (E.R.); (L.M.)
- Département de Médecine Nucléaire, Hôpital Lapeyronie, Centre Hospitalier Régional Universitaire (CHRU) Montpellier, 34295 Montpellier, France
| | - Sebastien Guillaume
- PSNREC, University of Montpellier, INSERM, CHU de Montpellier, 34295 Montpellier, France; (M.S.); (P.C.); (S.G.)
- UMR CNRS 5203, Institute of Functional Genomics, University of Montpellier, INSERM U1191, 34295 Montpellier, France;
- Department of Psychiatric Emergency and Acute Care, Lapeyronie Hospital, CHRU, 34295 Montpellier, France
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Adamczyk P, Siwacki S, Ponikowska I, Juszczak K. Calculation of basal metabolic rate in patients with morbid obesity treated in spa conditions. J Hum Nutr Diet 2022; 35:919-923. [PMID: 35137998 DOI: 10.1111/jhn.12996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 02/01/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND The purpose of this study is to calculate the basal metabolic rate with the Mifflin equation based on the expected body mass for normal body mass index values in obese patients treated in spa conditions. METHODS Authors recruited patients with morbid obesity (body mass index>40 kg/m2 ) and non-obese controls (body mass index<30 kg/m2 ). Authors included 104 patients with morbid obesity (mean body mass index ±standard deviation, 46.9 ± 2.1) treated in spa conditions, and 90 non-obese controls (mean body mass index 28 ± 1.3). RESULTS The mean basal metabolic rate calculated based on actual body mass was 2088 ± 303 kcal in patients with morbid obesity, and it was 1424 ± 268 kcal in non-obese controls. Basal metabolic rate calculated based on expected body mass for normal body mass index decreased significantly in patients with morbid obesity (p<0.01), but not in non-obese controls. Accordingly, energy expenditure and planned caloric intake was significantly lower when basal metabolic rate was calculated based on expected body mass than actual body mass in patients with morbid obesity, but not in non-obese controls (p<0.01). CONCLUSIONS Expected body mass for normal body mass index, should be used to calculate basal metabolic rate in patients with morbid obesity. This article is protected by copyright. All rights reserved.
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Affiliation(s)
| | - Szymon Siwacki
- Department of Balneology and Physical Medicine, Ludwik Rydygier Collegium Medicum in Bydgoszcz of the Nicolaus Copernicus University in Torun, Bydgoszcz, Poland
| | | | - Kajetan Juszczak
- Clinic of General and Oncological Urology, Ludwik Rydygier Collegium Medicum in Bydgoszcz of the Nicolaus Copernicus University in Torun, Bydgoszcz, Poland
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Abawi O, Koster EC, Welling MS, Boeters SC, van Rossum EFC, van Haelst MM, van der Voorn B, de Groot CJ, van den Akker ELT. Resting Energy Expenditure and Body Composition in Children and Adolescents With Genetic, Hypothalamic, Medication-Induced or Multifactorial Severe Obesity. Front Endocrinol (Lausanne) 2022; 13:862817. [PMID: 35898454 PMCID: PMC9309560 DOI: 10.3389/fendo.2022.862817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 06/08/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Pediatric obesity is a multifactorial disease which can be caused by underlying medical disorders arising from disruptions in the hypothalamic leptin-melanocortin pathway, which regulates satiety and energy expenditure. AIM To investigate and compare resting energy expenditure (REE) and body composition characteristics of children and adolescents with severe obesity with or without underlying medical causes. METHODS This prospective observational study included pediatric patients who underwent an extensive diagnostic workup in our academic centre that evaluated endocrine, non-syndromic and syndromic genetic, hypothalamic, and medication-induced causes of obesity. REE was assessed by indirect calorimetry; body composition by air displacement plethysmography. The ratio between measured REE (mREE) and predicted REE (Schofield equations), REE%, was calculated, with decreased mREE defined as REE% ≤90% and elevated mREE ≥110%. Additionally, the influence of fat-free-mass (FFM) on mREE was evaluated using multiple linear regression. RESULTS We included 292 patients (146 [50%] with body composition measurements), of which 218 (75%) patients had multifactorial obesity and 74 (25%) an underlying medical cause: non-syndromic and syndromic genetic (n= 29 and 28, respectively), hypothalamic (n= 10), and medication-induced (n= 7) obesity. Mean age was 10.8 ± 4.3 years, 59% were female, mean BMI SDS was 3.8 ± 1.1, indicating severe obesity. Mean REE% was higher in children with non-syndromic genetic obesity (107.4% ± 12.7) and lower in children with hypothalamic obesity (87.6% ± 14.2) compared to multifactorial obesity (100.5% ± 12.6, both p<0.01). In 9 children with pseudohypoparathyroidism type 1a, mean REE% was similar (100.4 ± 5.1). Across all patients, mREE was decreased in 60 (21%) patients and elevated in 69 (24%) patients. After adjustment for FFM, mREE did not differ between patients within each of the subgroups of underlying medical causes compared to multifactorial obesity (all p>0.05). CONCLUSIONS In this cohort of children with severe obesity due to various etiologies, large inter-individual differences in mREE were found. Consistent with previous studies, almost half of patients had decreased or elevated mREE. This knowledge is important for patient-tailored treatment, e.g. personalized dietary and physical activity interventions and consideration of pharmacotherapy affecting central energy expenditure regulation in children with decreased mREE.
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Affiliation(s)
- Ozair Abawi
- Dept. of Pediatrics, div. of Endocrinology, Erasmus MC-Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Emma C. Koster
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Dept. of Dietetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Mila S. Welling
- Dept. of Pediatrics, div. of Endocrinology, Erasmus MC-Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Dept. of Internal Medicine, div. of Endocrinology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Sanne C.M. Boeters
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Dept. of Dietetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Elisabeth F. C. van Rossum
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Dept. of Internal Medicine, div. of Endocrinology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Mieke M. van Haelst
- Dept. of Human Genetics, Amsterdam University Medical Center, Location AMC, University of Amsterdam & Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Bibian van der Voorn
- Dept. of Pediatrics, div. of Endocrinology, Erasmus MC-Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Dept. of Internal Medicine, div. of Endocrinology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Cornelis J. de Groot
- Dept. of Pediatrics, div. of Endocrinology, Erasmus MC-Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Dept. of Pediatrics, Willem-Alexander Children’s Hospital, Leiden University Medical Center, Leiden, Netherlands
| | - Erica L. T. van den Akker
- Dept. of Pediatrics, div. of Endocrinology, Erasmus MC-Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- *Correspondence: Erica L. T. van den Akker,
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13
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Cioffi I, Marra M, Pasanisi F, Scalfi L. Prediction of resting energy expenditure in healthy older adults: A systematic review. Clin Nutr 2021; 40:3094-3103. [PMID: 33288302 DOI: 10.1016/j.clnu.2020.11.027] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/06/2020] [Accepted: 11/20/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND & AIMS Estimates of energy requirements, based on measured or predicted resting energy expenditure (REE), are needed to avoid undernutrition or overnutrition (and their clinical consequences) in elderly subjects. The aims of this systematic review were to evaluate the prediction accuracy of REE in healthy elderly subjects and to ascertain which equation is more reliable at group level and/or individual level. METHODS Studies assessing prediction of REE in general elderly population were systematically searched using PubMed, EMBASE, Web of Science and CINAHL until March 2020. Prediction accuracy of REE was assessed at both group (bias) and individual (precision) level for each equation. RESULTS Fourteen studies met the inclusion criteria of this systematic review. Bias was reported in 8 papers and calculated in another 5 from absolute values. There was a prevalent tendency towards an overestimation of REE across the studies. The least bias was observed for the Mifflin (-0.3%) and Harris-Benedict (+2.6%) equations, with values above 5% for the FAO/WHO/UNU, Fredrix and Muller equations. Precision widely varied between studies for the same equation. The higher precision was observed using the Harris-Benedict equation (~70%), while the Henry and Mifflin equations provided estimates within 10% of measured values in 65% and 61% of elderly individuals, respectively. CONCLUSIONS None of the prediction equations considered provides accurate and precise REE estimates in healthy older adults. However, the best prediction is given by the Mifflin equation at group level and by the Harris-Benedict equation at individual level. Further studies with strong quality design are needed to evaluate the variability and accuracy of REE in the elderly general population.
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Affiliation(s)
- Iolanda Cioffi
- Department of Clinical Medicine and Surgery, Federico II University Hospital, Pansini 5, 80131 Naples, Italy.
| | - Maurizio Marra
- Department of Clinical Medicine and Surgery, Federico II University Hospital, Pansini 5, 80131 Naples, Italy
| | - Fabrizio Pasanisi
- Department of Clinical Medicine and Surgery, Federico II University Hospital, Pansini 5, 80131 Naples, Italy
| | - Luca Scalfi
- Department of Public Health, Federico II University Hospital, Naples, Pansini 5, 80131 Italy
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Fuentes-Servín J, Avila-Nava A, González-Salazar LE, Pérez-González OA, Servín-Rodas MDC, Serralde-Zuñiga AE, Medina-Vera I, Guevara-Cruz M. Resting Energy Expenditure Prediction Equations in the Pediatric Population: A Systematic Review. Front Pediatr 2021; 9:795364. [PMID: 34938700 PMCID: PMC8685418 DOI: 10.3389/fped.2021.795364] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 11/11/2021] [Indexed: 11/18/2022] Open
Abstract
Background and Aims: The determination of energy requirements is necessary to promote adequate growth and nutritional status in pediatric populations. Currently, several predictive equations have been designed and modified to estimate energy expenditure at rest. Our objectives were (1) to identify the equations designed for energy expenditure prediction and (2) to identify the anthropometric and demographic variables used in the design of the equations for pediatric patients who are healthy and have illness. Methods: A systematic search in the Medline/PubMed, EMBASE and LILACS databases for observational studies published up to January 2021 that reported the design of predictive equations to estimate basal or resting energy expenditure in pediatric populations was carried out. Studies were excluded if the study population included athletes, adult patients, or any patients taking medications that altered energy expenditure. Risk of bias was assessed using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Results: Of the 769 studies identified in the search, 39 met the inclusion criteria and were analyzed. Predictive equations were established for three pediatric populations: those who were healthy (n = 8), those who had overweight or obesity (n = 17), and those with a specific clinical situation (n = 14). In the healthy pediatric population, the FAO/WHO and Schofield equations had the highest R 2 values, while in the population with obesity, the Molnár and Dietz equations had the highest R 2 values for both boys and girls. Conclusions: Many different predictive equations for energy expenditure in pediatric patients have been published. This review is a compendium of most of these equations; this information will enable clinicians to critically evaluate their use in clinical practice. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=226270, PROSPERO [CRD42021226270].
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Affiliation(s)
- Jimena Fuentes-Servín
- Departamento de Metodología de la Investigación, Instituto Nacional de Pediatría, Ciudad de México, Mexico
| | - Azalia Avila-Nava
- Hospital Regional de Alta Especialidad Península de Yucatán, Mérida, Mexico
| | - Luis E González-Salazar
- Servicio de Nutrición Clínica, Instituto Nacional de Nutrición y Ciencias Médicas Salvador Zubirán, Ciudad de México, Mexico.,Sección de estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Ciudad de México, Mexico
| | - Oscar A Pérez-González
- Laboratorio de Oncología Experimental, Instituto Nacional de Pediatría, Ciudad de México, Mexico
| | | | - Aurora E Serralde-Zuñiga
- Servicio de Nutrición Clínica, Instituto Nacional de Nutrición y Ciencias Médicas Salvador Zubirán, Ciudad de México, Mexico.,Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Ciudad de México, Mexico
| | - Isabel Medina-Vera
- Departamento de Metodología de la Investigación, Instituto Nacional de Pediatría, Ciudad de México, Mexico.,Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Ciudad de México, Mexico
| | - Martha Guevara-Cruz
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Ciudad de México, Mexico.,Departamento de Fisiología de la Nutrición, Instituto Nacional de Nutrición y Ciencias Médicas Salvador Zubirán, Ciudad de México, Mexico
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Resting Energy Expenditure of Physically Active Boys in Southeastern Poland-The Accuracy and Validity of Predictive Equations. Metabolites 2020; 10:metabo10120493. [PMID: 33271803 PMCID: PMC7760554 DOI: 10.3390/metabo10120493] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 11/26/2020] [Accepted: 11/29/2020] [Indexed: 02/08/2023] Open
Abstract
Optimization of energy intake in the diet of young athletes is of primary importance. In addition to the energy expenditure associated with their body development, the demand resulting from intensive physical activity also increases. The aim of this study was to compare the accuracy of formulas commonly used for resting energy expenditure (REE) calculations with values obtained from measurements using indirect calorimetry among male children and adolescents practicing football. The study was conducted among 184 boys aged 9 to 17 using a calorimeter and a device for assessing body composition by means of electrical bioimpedance using a segment analyzer. The mean error ranged from −477 kcal/d by the Maffeis formula to −182 kcal/d for the Institute of Medicine of the National Academies (IMNA) formula. A statistically significant difference was found for all formulas in the calculated value in relation to the measured REE value (p < 0.0001). Most “ready-to-use” formulas underestimate REE, which can be a risk in determining the total energy demand in a group that requires more calories, especially when due to intensive growth and development and the expenditure associated with regular training and increased physical activity.
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