Predictive equations for energy expenditure in adult humans: From resting to free-living conditions

被引:11
作者
Fernandez-Verdejo, Rodrigo [1 ,2 ]
Galgani, Jose E. [1 ,3 ]
机构
[1] Pontificia Univ Catolica Chile, Fac Med, Dept Ciencias Salud, Carrera Nutr & Dietet, Santiago, Chile
[2] Univ Finis Terrae, Fac Med, Escuela Kinesiol, Lab Fisiol Ejercicio & Metab LABFEM, Santiago, Chile
[3] Pontificia Univ Catolica Chile, Fac Med, Dept Nutr Diabet & Metab, Avda Libertador Bernardo OHiggins 340, Santiago, Chile
关键词
MEASURED PHYSICAL-ACTIVITY; BASAL METABOLIC-RATE; FAT-FREE MASS; INDIRECT CALORIMETRY; BODY-COMPOSITION; REQUIREMENTS; OBESE; NONOBESE; DETERMINANTS; ASSOCIATIONS;
D O I
10.1002/oby.23469
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Humans acquire energy from the environment for survival. A central question for nutritional sciences is how much energy is required to sustain cellular work while maintaining an adequate body mass. Because human energy balance is not exempt from thermodynamic principles, the energy requirement can be approached from the energy expenditure. Conceptual and technological advances have allowed understanding of the physiological determinants of energy expenditure. Body mass, sex, and age are the main factors determining energy expenditure. These factors constitute the basis for predictive equations for resting (REE) and total (TEE) energy expenditure in healthy adults. These equations yield predictions that differ up to similar to 400 kcal/d for REE and similar to 550 kcal/d for TEE. Identifying additional factors accounting for such variability and the most valid equations appears relevant. This review used novel approaches based on mathematical modeling of REE and analyses of the data from which REE predictive equations were generated. As for TEE, R-2 and SE were considered because only a few predictive equations are available. From these analyses, Oxford's and Plucker's equations appear valid for predicting REE and TEE in adults, respectively.
引用
收藏
页码:1537 / 1548
页数:12
相关论文
共 50 条
  • [1] Accuracy of Resting Energy Expenditure Predictive Equations in Patients With Cancer
    Purcell, Sarah A.
    Elliott, Sarah A.
    Baracos, Vickie E.
    Chu, Quincy S. C.
    Sawyer, Michael B.
    Mourtzakis, Marina
    Easaw, Jacob C.
    Spratlin, Jennifer L.
    Siervo, Mario
    Prado, Carla M.
    NUTRITION IN CLINICAL PRACTICE, 2019, 34 (06) : 922 - 934
  • [2] Congruent Validity of Resting Energy Expenditure Predictive Equations in Young Adults
    Amaro-Gahete, Francisco J.
    Sanchez-Delgado, Guillermo
    Alcantara, Juan M. A.
    Martinez-Tellez, Borja
    Munoz-Hernandez, Victoria
    Merchan-Ramirez, Elisa
    Lof, Marie
    Labayen, Idoia
    Ruiz, Jonatan R.
    NUTRIENTS, 2019, 11 (02):
  • [3] Validation of the BIOPAC indirect calorimeter for determining resting energy expenditure in healthy free-living older people
    Khalaj-Hedayati, Kerstin
    Bosy-Westphal, Anja
    Mueller, Manfred J.
    Dittmar, Manuela
    NUTRITION RESEARCH, 2009, 29 (08) : 531 - 541
  • [4] Accuracy of equations for estimating resting energy expenditure in children and adolescents living with phenylketonuria
    Mezzomo, Thais R.
    Dias, Marcia Regina Messaggi G.
    Vilela, Regina M.
    Pereira, Rosana Marques
    JOURNAL OF HUMAN NUTRITION AND DIETETICS, 2023, 36 (05) : 1661 - 1674
  • [5] Validation of predictive equations for resting energy expenditure in adult outpatients and inpatients
    Weijs, Peter J. M.
    Kruizenga, Hinke M.
    van Dijk, Aimee E.
    van der Meij, Barbara S.
    Langius, Jacqueline A. E.
    Knol, Dirk L.
    van Schijndel, Robert J. M. Strack
    van Bokhorst-de van der Schueren, Marian A. E.
    CLINICAL NUTRITION, 2008, 27 (01) : 150 - 157
  • [6] Predictive Equations Based on Body Composition for Resting Energy Expenditure Estimation in Adults with Obesity
    El Masri, Dana
    Itani, Leila
    Kreidieh, Dima
    Tannir, Hana
    El Ghoch, Marwan
    CURRENT DIABETES REVIEWS, 2020, 16 (04) : 381 - 386
  • [7] New predictive equations for estimating resting energy expenditure in subjects with normal weight and overweight
    Marra, Maurizio
    Sammarco, Rosa
    Cioffi, Iolanda
    Morlino, Delia
    Di Vincenzo, Olivia
    Speranza, Enza
    Pasanisi, Fabrizio
    NUTRITION, 2021, 84
  • [8] Validity of predictive equations for resting energy expenditure among Iranian women
    Shaneshin, Mahboubeh
    Rezazadeh, Arezoo
    Jessri, Mahsa
    Neyestani, Tirang
    Rashidkhani, Bahram
    ASIA PACIFIC JOURNAL OF CLINICAL NUTRITION, 2011, 20 (04) : 646 - 653
  • [9] Accuracy of predictive equations for the measurement of resting energy expenditure in older subjects
    Siervo, M.
    Bertoli, S.
    Battezzati, A.
    Wells, J. C.
    Lara, J.
    Ferraris, C.
    Tagliabue, A.
    CLINICAL NUTRITION, 2014, 33 (04) : 613 - 619
  • [10] Poor performance of predictive equations to estimate resting energy expenditure in patients with Crohn's disease
    Karachaliou, Alexandra
    Anastasiou, Costas A.
    Bletsa, Maria
    Mantzaris, Gerassimos J.
    Archavlis, Emmanuel
    Karampekos, George
    Tzouvala, Maria
    Zacharopoulou, Eirini
    Veimou, Chrysoula
    Bamias, Giorgos
    Kontogianni, Meropi D.
    BRITISH JOURNAL OF NUTRITION, 2023, 129 (02) : 272 - 282