Estimation of energy expenditure using prediction equations in overweight and obese adults: a systematic review

Posted on 08 April 2016, Indirect Calorimetry, Scientific

indirect calorimetry

The usefulness of predictive equations of REE in healthy obese subjects has been analysed in this literature review published in the Journal of Human Nutrition and Dietetics from the British Dietetic Association.

Minimum Time to Achieve the Steady State and Optimum Abbreviated Period to Estimate the Resting Energy Expenditure by Indirect Calorimetry in Healthy Young Adults

Posted on 18 March 2016, Indirect Calorimetry, Scientific

indirect calorimetry

The Nutrition in Clinical Practice Journal published an interesting article on the optimum abbreviated period for measurement of indirect calorimetry.

Resting energy expenditures in chronic kidney disease patients before, during, and after hemodialysis

Posted on 29 February 2016, Indirect Calorimetry, Scientific

indirect calorimetry

A study in the Journal of Medical Technology and Physical Therapy investigates the variability of Resting Energy Expenditure in hemodialysis patients.

Resting energy expenditure in a cohort of female patients with bipolar disorder: indirect calorimetry vs Harris-Benedict, Mifflin-St. Jeor, LARN Equations

Posted on 25 February 2016, Indirect Calorimetry, Scientific

indirect calorimetry

The role of predicitve equations versus indirect calorimetry in patients treated for bipolar disorder has been investigated in this study published on the Official Journal of the Italian Society of Psychopathology.

Measure or estimate energy expenditure in spinal cord injury patients? A comparison of indirect calorimetry and commonly used predictive equations

Posted on 23 February 2016, Indirect Calorimetry, Scientific

indirect calorimetry

A new study published on the Proceedings of the Nutrition Society focuses on energy expenditure after spinal cord injury (SCI) and how commonly used predictive equations tend to overestimate resting metabolic rate (RMR) by 5–32 %.

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