Literature DB >> 29101542

Routine resting energy expenditure measurement increases effectiveness of dietary intervention in obesity.

Stefano Massarini1, Anna Ferrulli1, Federico Ambrogi2, Concetta Macrì1, Ileana Terruzzi3, Stefano Benedini1,4, Livio Luzi5,6.   

Abstract

AIMS: Primary outcome of this observational study was to compare weight changes in two groups of overweight and obese individuals: subjects who had a diet prescribed on the base of resting energy expenditure (REE) measured by indirect calorimetry and subjects whose REE was estimated by a predictive equation. In addition, we analyzed differences in weight and metabolic parameter variation in subjects with and without an adequate to predicted REE.
METHODS: We retrospectively analyzed data of 355 overweight and obese patients: 215 on a diet based on REE measured by indirect calorimetry and 140 following a diet based on REE estimated by the Harris-Benedict equation. Anthropometric and metabolic parameters were evaluated for 18 months from baseline. Propensity score adjustment was used to adjust for known differences between the groups being compared.
RESULTS: A significant greater decrease in body weight was observed in the group that underwent indirect calorimetry compared to the group that did not undergo it (p < 0.001). No significant differences were observed between patients with not adequate to predicted REE compared to patients with adequate to predicted REE.
CONCLUSIONS: A weight reduction program based on REE measurement appears more effective than a dietary program based on predictive formulas. This study suggests the routine use of indirect calorimetry in all weight reduction procedures.

Entities:  

Keywords:  BMI; Harris–Benedict equation; Indirect calorimetry; Obesity; Overweight; Weight loss

Mesh:

Year:  2017        PMID: 29101542     DOI: 10.1007/s00592-017-1064-0

Source DB:  PubMed          Journal:  Acta Diabetol        ISSN: 0940-5429            Impact factor:   4.280


  6 in total

1.  Deep Transcranial Magnetic Stimulation Affects Gut Microbiota Composition in Obesity: Results of Randomized Clinical Trial.

Authors:  Anna Ferrulli; Lorenzo Drago; Sara Gandini; Stefano Massarini; Federica Bellerba; Pamela Senesi; Ileana Terruzzi; Livio Luzi
Journal:  Int J Mol Sci       Date:  2021-04-29       Impact factor: 5.923

2.  Accuracy of the Resting Energy Expenditure Estimation Equations for Healthy Women.

Authors:  Rafael Molina-Luque; Fernanda Carrasco-Marín; Constanza Márquez-Urrizola; Natalia Ulloa; Manuel Romero-Saldaña; Guillermo Molina-Recio
Journal:  Nutrients       Date:  2021-01-24       Impact factor: 5.717

3.  Analysis of Predictive Equations for Estimating Resting Energy Expenditure in a Large Cohort of Morbidly Obese Patients.

Authors:  Raffaella Cancello; Davide Soranna; Amelia Brunani; Massimo Scacchi; Antonella Tagliaferri; Stefania Mai; Paolo Marzullo; Antonella Zambon; Cecilia Invitti
Journal:  Front Endocrinol (Lausanne)       Date:  2018-07-25       Impact factor: 5.555

4.  Telemedicine and urban diabetes during COVID-19 pandemic in Milano, Italy during lock-down: epidemiological and sociodemographic picture.

Authors:  Livio Luzi; Michele Carruba; Roberta Crialesi; Stefano Da Empoli; Regina Dagani; Elisabetta Lovati; Antonio Nicolucci; Cesare C Berra; Elisa Cipponeri; Ketty Vaccaro; Andrea Lenzi
Journal:  Acta Diabetol       Date:  2021-03-19       Impact factor: 4.280

5.  Evaluation of Measured Resting Metabolic Rate for Dietary Prescription in Ageing Adults with Overweight and Adiposity-Based Chronic Disease.

Authors:  Ciara Cooney; Ed Daly; Maria McDonagh; Lisa Ryan
Journal:  Nutrients       Date:  2021-04-08       Impact factor: 5.717

6.  The use of a portable metabolic monitoring device for measuring RMR in healthy adults.

Authors:  Suey S Y Yeung; Marijke C Trappenburg; Carel G M Meskers; Andrea B Maier; Esmee M Reijnierse
Journal:  Br J Nutr       Date:  2020-03-16       Impact factor: 3.718

  6 in total

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