481 related articles for article (PubMed ID: 28893410)
1. An artificial neural network to predict resting energy expenditure in obesity.
Disse E; Ledoux S; Bétry C; Caussy C; Maitrepierre C; Coupaye M; Laville M; Simon C
Clin Nutr; 2018 Oct; 37(5):1661-1669. PubMed ID: 28893410
[TBL] [Abstract][Full Text] [Related]
2. Accurate determination of energy needs in hospitalized patients.
Boullata J; Williams J; Cottrell F; Hudson L; Compher C
J Am Diet Assoc; 2007 Mar; 107(3):393-401. PubMed ID: 17324656
[TBL] [Abstract][Full Text] [Related]
3. Prediction equation of resting energy expenditure in an adult Spanish population of obese adult population.
de Luis DA; Aller R; Izaola O; Romero E
Ann Nutr Metab; 2006; 50(3):193-6. PubMed ID: 16407645
[TBL] [Abstract][Full Text] [Related]
4. Resting energy expenditure in obese women: comparison between measured and estimated values.
Poli VF; Sanches RB; Moraes AD; Fidalgo JP; Nascimento MA; Andrade-Silva SG; Clemente JC; Yi LC; Caranti DA
Br J Nutr; 2016 Oct; 116(7):1306-1313. PubMed ID: 27641466
[TBL] [Abstract][Full Text] [Related]
5. Low validity of predictive equations for calculating resting energy expenditure in overweight and obese women with polycystic ovary syndrome.
Rodrigues AMDS; Costa ABP; Campos DL; Silva MPS; Cândido AL; Santos LCD; Ferreira AVM
J Hum Nutr Diet; 2018 Apr; 31(2):266-275. PubMed ID: 28791776
[TBL] [Abstract][Full Text] [Related]
6. Accuracy of predictive equations for the measurement of resting energy expenditure in older subjects.
Siervo M; Bertoli S; Battezzati A; Wells JC; Lara J; Ferraris C; Tagliabue A
Clin Nutr; 2014 Aug; 33(4):613-9. PubMed ID: 24094813
[TBL] [Abstract][Full Text] [Related]
7. Validity of predictive equations for resting energy expenditure according to the body mass index in a population of 1726 patients followed in a Nutrition Unit.
Jésus P; Achamrah N; Grigioni S; Charles J; Rimbert A; Folope V; Petit A; Déchelotte P; Coëffier M
Clin Nutr; 2015 Jun; 34(3):529-35. PubMed ID: 25016971
[TBL] [Abstract][Full Text] [Related]
8. [Resting energy expenditure in obese and non-obese Chilean subjects: comparison with predictive equations for the Chilean population].
Carrasco F; Reyes E; Núñez C; Riedemann K; Rimler O; Sánchez G; Sarrat G
Rev Med Chil; 2002 Jan; 130(1):51-60. PubMed ID: 11961961
[TBL] [Abstract][Full Text] [Related]
9. Reliability of energy expenditure prediction equations in the weight management clinic.
O'Riordan CF; Metcalf BS; Perkins JM; Wilkin TJ
J Hum Nutr Diet; 2010 Apr; 23(2):169-75. PubMed ID: 20082662
[TBL] [Abstract][Full Text] [Related]
10. Determining the accuracy of predictive energy expenditure (PREE) equations in severely obese adolescents.
Steinberg A; Manlhiot C; Cordeiro K; Chapman K; Pencharz PB; McCrindle BW; Hamilton JK
Clin Nutr; 2017 Aug; 36(4):1158-1164. PubMed ID: 27612920
[TBL] [Abstract][Full Text] [Related]
11. How accurate are resting energy expenditure prediction equations in obese trauma and burn patients?
Stucky CC; Moncure M; Hise M; Gossage CM; Northrop D
JPEN J Parenter Enteral Nutr; 2008; 32(4):420-6. PubMed ID: 18596313
[TBL] [Abstract][Full Text] [Related]
12. Validity of predictive equations for resting energy expenditure in Belgian normal weight to morbid obese women.
Weijs PJ; Vansant GA
Clin Nutr; 2010 Jun; 29(3):347-51. PubMed ID: 19853980
[TBL] [Abstract][Full Text] [Related]
13. Energy prediction equations are inadequate for obese Hispanic youth.
Klein CJ; Villavicencio SA; Schweitzer A; Bethepu JS; Hoffman HJ; Mirza NM
J Am Diet Assoc; 2011 Aug; 111(8):1204-10. PubMed ID: 21802568
[TBL] [Abstract][Full Text] [Related]
14. Predicting resting energy expenditure in young adults.
Willis EA; Herrmann SD; Ptomey LT; Honas JJ; Bessmer CT; Donnelly JE; Washburn RA
Obes Res Clin Pract; 2016; 10(3):304-14. PubMed ID: 26210376
[TBL] [Abstract][Full Text] [Related]
15. Validity of Predictive Equations for Resting Energy Expenditure Developed for Obese Patients: Impact of Body Composition Method.
Achamrah N; Jésus P; Grigioni S; Rimbert A; Petit A; Déchelotte P; Folope V; Coëffier M
Nutrients; 2018 Jan; 10(1):. PubMed ID: 29320432
[TBL] [Abstract][Full Text] [Related]
16. Predicting energy expenditure in extremely obese women.
Dobratz JR; Sibley SD; Beckman TR; Valentine BJ; Kellogg TA; Ikramuddin S; Earthman CP
JPEN J Parenter Enteral Nutr; 2007; 31(3):217-27. PubMed ID: 17463148
[TBL] [Abstract][Full Text] [Related]
17. Accuracy of predictive equations for estimating resting energy expenditure in obese adolescents.
Marra M; Montagnese C; Sammarco R; Amato V; Della Valle E; Franzese A; Contaldo F; Pasanisi F
J Pediatr; 2015 Jun; 166(6):1390-6.e1. PubMed ID: 25872963
[TBL] [Abstract][Full Text] [Related]
18. Resting energy expenditure in children and adolescents: agreement between calorimetry and prediction equations.
Rodríguez G; Moreno LA; Sarría A; Fleta J; Bueno M
Clin Nutr; 2002 Jun; 21(3):255-60. PubMed ID: 12127936
[TBL] [Abstract][Full Text] [Related]
19. Comparison of energy prediction equations with measured resting energy expenditure in children with sickle cell anemia.
Williams R; Olivi S; Mackert P; Fletcher L; Tian GL; Wang W
J Am Diet Assoc; 2002 Jul; 102(7):956-61. PubMed ID: 12146559
[TBL] [Abstract][Full Text] [Related]
20. Prediction of resting energy expenditure in a large population of obese children.
Derumeaux-Burel H; Meyer M; Morin L; Boirie Y
Am J Clin Nutr; 2004 Dec; 80(6):1544-50. PubMed ID: 15585766
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]