428 related articles for article (PubMed ID: 31347209)
1. Accuracy of Resting Energy Expenditure Predictive Equations in Patients With Cancer.
Purcell SA; Elliott SA; Baracos VE; Chu QSC; Sawyer MB; Mourtzakis M; Easaw JC; Spratlin JL; Siervo M; Prado CM
Nutr Clin Pract; 2019 Dec; 34(6):922-934. PubMed ID: 31347209
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Ability to predict resting energy expenditure with six equations compared to indirect calorimetry in octogenarian men.
Karlsson M; Olsson E; Becker W; Karlström B; Cederholm T; Sjögren P
Exp Gerontol; 2017 Jun; 92():52-55. PubMed ID: 28323025
[TBL] [Abstract][Full Text] [Related]
4. Total energy expenditure in patients with colorectal cancer: associations with body composition, physical activity, and energy recommendations.
Purcell SA; Elliott SA; Walter PJ; Preston T; Cai H; Skipworth RJE; Sawyer MB; Prado CM
Am J Clin Nutr; 2019 Aug; 110(2):367-376. PubMed ID: 31225583
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Resting energy expenditure in malnourished older patients at hospital admission and three months after discharge: predictive equations versus measurements.
Neelemaat F; van Bokhorst-de van der Schueren MA; Thijs A; Seidell JC; Weijs PJ
Clin Nutr; 2012 Dec; 31(6):958-66. PubMed ID: 22658444
[TBL] [Abstract][Full Text] [Related]
8. Which equation best predicts energy expenditure in amyotrophic lateral sclerosis?
Ellis AC; Rosenfeld J
J Am Diet Assoc; 2011 Nov; 111(11):1680-7. PubMed ID: 22027050
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Predictive Equations Based on Body Composition for Resting Energy Expenditure Estimation in Adults with Obesity.
El Masri D; Itani L; Kreidieh D; Tannir H; El Ghoch M
Curr Diabetes Rev; 2020; 16(4):381-386. PubMed ID: 31663845
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. [Resting energy expenditure measured vs. estimated and this relationship with body composition in women].
Fett CA; Fett WC; Marchini JS
Arq Bras Endocrinol Metabol; 2006 Dec; 50(6):1050-8. PubMed ID: 17221111
[TBL] [Abstract][Full Text] [Related]
13. Influence of methods used in body composition analysis on the prediction of resting energy expenditure.
Korth O; Bosy-Westphal A; Zschoche P; Glüer CC; Heller M; Müller MJ
Eur J Clin Nutr; 2007 May; 61(5):582-9. PubMed ID: 17136038
[TBL] [Abstract][Full Text] [Related]
14. Prediction of resting energy expenditure in severely obese Italian males.
Lazzer S; Agosti F; Resnik M; Marazzi N; Mornati D; Sartorio A
J Endocrinol Invest; 2007 Oct; 30(9):754-61. PubMed ID: 17993767
[TBL] [Abstract][Full Text] [Related]
15. Predicted versus measured resting energy expenditure in patients requiring home parenteral nutrition.
Ławiński M; Singer P; Gradowski Ł; Gradowska A; Bzikowska A; Majewska K
Nutrition; 2015; 31(11-12):1328-32. PubMed ID: 26278135
[TBL] [Abstract][Full Text] [Related]
16. Validation of predictive equations for resting energy expenditure in obese adolescents.
Hofsteenge GH; Chinapaw MJ; Delemarre-van de Waal HA; Weijs PJ
Am J Clin Nutr; 2010 May; 91(5):1244-54. PubMed ID: 20237141
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Hand-held indirect calorimeter offers advantages compared with prediction equations, in a group of overweight women, to determine resting energy expenditures and estimated total energy expenditures during research screening.
Spears KE; Kim H; Behall KM; Conway JM
J Am Diet Assoc; 2009 May; 109(5):836-45. PubMed ID: 19394470
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]