scholarly journals Energy Expenditure and Body Composition in Preterm Newborns with Bronchopulmonary Dysplasia at Term Age

2021 ◽  
Author(s):  
Paola Azara Tabicas Lima ◽  
Maria Dalva Barbosa Baker Méio ◽  
Maria Elisabeth Lopes Moreira ◽  
Andrea Dunshee de Abranches ◽  
Bruna Grazziotti Milanesi ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Bronchopulmonary Dysplasia ◽  
Resting Energy Expenditure ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Air Displacement Plethysmography ◽  
Z Scores ◽  
Preterm Newborns ◽  
Resting Energy

Abstract A cross-sectional study was carried out in a cohort of newborns with less than 32 weeks of gestational age. We aimed to evaluate and compare resting energy expenditure (REE) and body composition between newborns who did or did not develop bronchopulmonary dysplasia. The resting energy expenditure and body composition were assessed at the corrected term age using air displacement plethysmography. Anthropometric measurements (weight, head circumference, and length) were performed and transformed into Z-scores per the Fenton curve (2013) at birth and corrected term age. Forty-two newborns were included, of which 26.2% developed bronchopulmonary dysplasia. Newborns with bronchopulmonary dysplasia (BPD) had significantly higher energy expenditure at corrected term age, with no differences in body composition between the two groups. Conclusion: Newborns with bronchopulmonary dysplasia had higher resting energy expenditure at the corrected term, with no difference in body composition compared to those who did not develop bronchopulmonary dysplasia.

scholarly journals Predictive equations for evaluation for resting energy expenditure in Brazilian patients with type 2 diabetes: What can we use?

2020 ◽  
Author(s):  
Thaiciane Grassi ◽  
Francesco Pinto Boeno ◽  
Mauren Minuzzo de Freitas ◽  
Tatiana Pedroso de Paula ◽  
Luciana Vercoza Viana ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Energy Expenditure ◽  
Correlation Coefficients ◽  
Reference Method ◽  
Resting Energy Expenditure ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Predictive Equations ◽  
Resting Energy

Abstract Background: Evaluation of the resting energy expenditure (REE) is essential to ensure an appropriate dietary prescription for patients with type 2 diabetes. The aim of this record was to evaluate the accuracy of predictive equations for REE estimation in patients with type 2 diabetes, considering indirect calorimetry (IC) as the reference method.Methods: A cross-sectional study was performed in outpatients with type 2 diabetes. Clinical, body composition by electrical bioimpedance and laboratory variables were evaluated. The REE was measured by IC (QUARK RMR, Cosmed, Rome, Italy) and estimated by eleven predictive equations. Data were analyzed using Bland–Altman plots, paired t-tests, and Pearson’s correlation coefficients.Results: 62 patients were evaluated [50% female; mean age 63.1 ± 5.2 years; diabetes duration of 11 (1-36) years, and mean A1C of 7.6 ± 1.2%]. There was a wide variation in the accuracy of REE values predicted by equations when compared to IC REE measurement. In all patients, Ikeda and Mifflin St-Jeor equations were that most underestimated REE. And, the equations that overestimated the REE were proposed by Dietary Reference Intakes and Huang. The most accurate equations were FAO/WHO/UNO in women (-1.8% difference) and Oxford in men (-1.3% difference).Conclusion: In patients with type 2 diabetes, in the absence of IC, FAO/WHO/UNO and Oxford equations provide the best REE prediction in comparison to measured REE for women and men, respectively.

scholarly journals External Validation of Equations to Estimate Resting Energy Expenditure in 2037 Children and Adolescents with and 389 without Obesity: A Cross-Sectional Study

Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1421 ◽  
Author(s):  
Giorgio Bedogni ◽  
Simona Bertoli ◽  
Ramona De Amicis ◽  
Andrea Foppiani ◽  
Alessandra De Col ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Cross Validation ◽  
External Validation ◽  
Resting Energy Expenditure ◽  
Prediction Equation ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Inclusion Criteria ◽  
Cross Sectional ◽  
Resting Energy

We performed an external cross-validation study of 10 equations to estimate resting energy expenditure (REE) in 2037 children with and 389 without obesity. Inclusion criteria were Caucasian ethnicity, age ≤ 18 years, and availability of REE. REE was measured using indirect calorimetry. The correct classification fraction (CCF) of an equation was defined as the fraction of subjects whose estimated REE was within 10% of measured REE. The Molnár equation was the most accurate REE prediction equation with CCFs of 0.70 (95% CI 0.65 to 0.76) in girls without obesity, 0.64 (95% CI 0.61 to 0.66) in girls with obesity, 0.76 (95% CI 0.67 to 0.83) in boys without obesity, and 0.66 (95% CI 0.63 to 0.69) in boys with obesity. The Mifflin equation was the second most accurate equation with CCFs of 0.67 (95% CI 0.61 to 0.73) in girls without obesity, 0.61 (95% CI 0.58 to 0.64) in girls with obesity, 0.75 (95% CI 0.66 to 0.82) in boys without obesity, and 0.66 (95% CI 0.63 to 0.69) in boys with obesity.

scholarly journals Predictive equations for evaluation for resting energy expenditure in Brazilian patients with type 2 diabetes: what can we use?

BMC Nutrition ◽  
2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Thaiciane Grassi ◽  
Francesco Pinto Boeno ◽  
Mauren Minuzzo de Freitas ◽  
Tatiana Pedroso de Paula ◽  
Luciana Vercoza Viana ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Energy Expenditure ◽  
Correlation Coefficients ◽  
Reference Method ◽  
Resting Energy Expenditure ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Predictive Equations ◽  
Resting Energy

Abstract Background Evaluation of the resting energy expenditure (REE) is essential to ensure an appropriate dietary prescription for patients with type 2 diabetes. The aim of this record was to evaluate the accuracy of predictive equations for REE estimation in patients with type 2 diabetes, considering indirect calorimetry (IC) as the reference method. Methods A cross-sectional study was performed in outpatients with type 2 diabetes. Clinical, body composition by electrical bioimpedance and laboratory variables were evaluated. The REE was measured by IC (QUARK RMR, Cosmed, Rome, Italy) and estimated by eleven predictive equations. Data were analyzed using Bland–Altman plots, paired t-tests, and Pearson’s correlation coefficients. Results Sixty-two patients were evaluated [50% female; mean age 63.1 ± 5.2 years; diabetes duration of 11 (1–36) years, and mean A1C of 7.6 ± 1.2%]. There was a wide variation in the accuracy of REE values predicted by equations when compared to IC REE measurement. In all patients, Ikeda and Mifflin St-Jeor equations were that most underestimated REE. And, the equations that overestimated the REE were proposed by Dietary Reference Intakes and Huang. The most accurate equations were FAO/WHO/UNO in women (− 1.8% difference) and Oxford in men (− 1.3% difference). Conclusion In patients with type 2 diabetes, in the absence of IC, FAO/WHO/UNO and Oxford equations provide the best REE prediction in comparison to measured REE for women and men, respectively.

Effects of HIV and Antiretroviral Therapy on Resting Energy Expenditure in Adult HIV-Infected Women—A Matched, Prospective, Cross-Sectional Study

2013 ◽  
Vol 113 (8) ◽  
pp. 1037-1043 ◽  
Author(s):  
Alison L. Mittelsteadt ◽  
Corrilynn O. Hileman ◽  
Stephanie R. Harris ◽  
Kelly M. Payne ◽  
Barbara M. Gripshover ◽  
...  
Keyword(s):  
Antiretroviral Therapy ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Resting Energy

Resting energy expenditure from DXA: A Cross-Sectional Study

2020 ◽  
Author(s):  
Ana Claudia Rossini Venturini ◽  
Analiza Mónica Silva ◽  
Pedro Pugliesi Abdalla ◽  
André Pereira Santos ◽  
Franciane Goes Borges ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Cross Sectional Study ◽  
Fat Free Mass ◽  
Whole Body ◽  
Sectional Study ◽  
Bias Analysis ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Resting Energy

Abstract Background: The traditional methods used to estimate Resting Energy Expenditure (REE) is bases of the indirect calorimetry (IC) is a global approach, and does not consider the different metabolic activities of organs (heart, kidney and liver), bone tissue (BT), adipose tissue (AT) and skeletal muscle tissue (SMT). Then, our objective is to validate a 3C approach model of REE measured by dual-energy x-ray absorptiometry (DXA) based on IC. Methods: Participated in this cross-sectional study 155 college students, both sexes (18 to 30 years old). Anthropometric measures, REEs estimated via IC and whole-body DXA-scan (3C approach) were determined. The REE of each component was determined after transforming the DXA components at the molecular level to the organ tissue level. Bland-Altman and proportional bias analysis were used to verify agreement between methods (IC and DXA). Results: The results show significant ( p<0.05 ) higher fat-free mass index (FFMI), cranial area and residual tissue (RT) in men. And they have smaller amounts of fat mass (FM) and AT in comparison to women. Also higher REEs ( p <0.001) were found among men for all components in comparison to women, except for AT expenditure ( p <0.001). Conclusions: This approach has important implications for the interpretation of multicomponent energy metabolism, considering interpersonal differences in terms of heat production. It is a strategy applicable in the health and sports contexts to prescribe exercises and diets because it shows the REE magnitude of each body component.

scholarly journals Accuracy of predictive equations for evaluation of resting energy expenditure in Brazilian patients with type 2 diabetes.

2020 ◽  
Author(s):  
Thaiciane Grassi ◽  
Francesco Pinto Boeno ◽  
Mauren Minuzzo de Freitas ◽  
Tatiana Pedroso de Paula ◽  
Luciana Vercoza Viana ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Composition ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Composition Analysis ◽  
Cross Sectional ◽  
Predictive Equations ◽  
Resting Energy

Abstract Background Evaluation of the resting energy expenditure (REE) is essential to ensure an appropriate dietary prescription for patients with type 2 diabetes. The aim of this study was to evaluate the accuracy of predictive equations for REE estimation in patients with type 2 diabetes, considering indirect calorimetry (IC) as the reference method.Methods A cross-sectional study was conducted in 62 patients (31 men and 31 women) with type 2 diabetes. Clinical and laboratory variables were evaluated, as well as body composition by electrical bioimpedance. The REE was measured by IC (QUARK RMR, Cosmed, Rome, Italy) and estimated by predictive equations. Data were analyzed using Bland–Altman plots, paired t-tests, and Pearson’s correlation coefficients.Results Patients in the sample had a mean age of 63.1 ± 5.2 years, median diabetes duration of 11 (1–36) years, and mean A1C of 7.6 ± 1.2%. Body composition analysis revealed a mean fat free mass of 35.2 ± 11.8 kg and fat mass of 29.1 ± 8.8 kg. There was wide variation in the accuracy of REE values predicted by equations when compared to those measured by IC. For women, the FAO/WHO/UNO equation provided the best REE prediction in comparison to measured REE (-1.8% difference). For men, the Oxford equation yielded values closest to those measured by IC (-1.3% difference).Conclusions In this sample of the patients with type 2 diabetes, the best predictive equations to estimate REE were FAO/WHO/UNO and Oxford for women and men, respectively.

scholarly journals Predictive equations for evaluation for resting energy expenditure in Brazilian patients with type 2 diabetes: What can we use?

2020 ◽  
Author(s):  
Thaiciane Grassi ◽  
Francesco Pinto Boeno ◽  
Mauren Minuzzo de Freitas ◽  
Tatiana Pedroso de Paula ◽  
Luciana Vercoza Viana ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Energy Expenditure ◽  
Correlation Coefficients ◽  
Reference Method ◽  
Resting Energy Expenditure ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Predictive Equations ◽  
Resting Energy

Abstract Background: Evaluation of the resting energy expenditure (REE) is essential to ensure an appropriate dietary prescription for patients with type 2 diabetes. The aim of this record was to evaluate the accuracy of predictive equations for REE estimation in patients with type 2 diabetes, considering indirect calorimetry (IC) as the reference method.Methods: A cross-sectional study was performed in outpatients with type 2 diabetes. Clinical, body composition by electrical bioimpedance and laboratory variables were evaluated. The REE was measured by IC (QUARK RMR, Cosmed, Rome, Italy) and estimated by eleven predictive equations. Data were analyzed using Bland–Altman plots, paired t-tests, and Pearson’s correlation coefficients.Results: 62 patients were evaluated [50% female; mean age 63.1 ± 5.2 years; diabetes duration of 11 (1-36) years, and mean A1C of 7.6 ± 1.2%]. There was a wide variation in the accuracy of REE values predicted by equations when compared to IC REE measurement. In all patients, Ikeda and Mifflin St-Jeor equations were that most underestimated REE. And, the equations that overestimated the REE were proposed by Dietary Reference Intakes and Huang. The most accurate equations were FAO/WHO/UNO in women (-1.8% difference) and Oxford in men (-1.3% difference).Conclusion: In patients with type 2 diabetes, in the absence of IC, FAO/WHO/UNO and Oxford equations provide the best REE prediction in comparison to measured REE for women and men, respectively.

scholarly journals Resting Energy Expenditure, Body Composition and Phase Angle in Anorectic, Ballet Dancers and Constitutionally Lean Males

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 502 ◽  
Author(s):  
Maurizio Marra ◽  
Rosa Sammarco ◽  
Emilia De Filippo ◽  
Carmela De Caprio ◽  
Enza Speranza ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Phase Angle ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
The Other ◽  
Cross Sectional ◽  
Ballet Dancers ◽  
Qualitative Changes ◽  
Resting Energy

Background: The prevalence of anorexia nervosa among males is increasing but few data are available in the literature. This cross sectional study aims to evaluate resting energy expenditure (REE) and phase angle as a marker of qualitative changes of fat free mass (FFM) in three leanness groups as compared with control subjects. Methods: 17 anorectic (AN) males, 15 constitutionally lean (CL) individuals, 12 ballet dancers (DC), and 18 control (CTR) subjects were evaluated. REE was measured by indirect calorimetry (V max29- Sensormedics), and body composition was evaluated by bioimpedance analysis (BIA) at 50 kHz (DS Medica). Phase angle (a bioimpedance variable related to nutritional status) was used to evaluate differences in FFM characteristics between these three types of leanness. Results: REE, adjusted for FFM and fat mass (FM), were significantly higher in CL and lower in AN individuals (1783 ± 47 vs. 1291 ± 58 kcal, p < 0.05) compared to the other groups. Body composition was similar in AN and CL whereas dancers had the highest FFM (58.9 ± 4.8 kg, p < 0.05); anorectic males showed the lowest phase angle (5.8 ± 1.2 degrees vs. other groups, p < 0.05) and dancers the highest phase angle (7.9 ± 0.7 degree vs. other group, p < 0.05). Conclusions: Our findings confirm that phase angle could be a useful marker of qualitative changes, above all in the field of sport activities. On the other hand, there is the need to further evaluate the relationship between resting energy expenditure, body composition and endocrine status in different conditions of physical activity and dietary intake.

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