NCT02435888|Completed
Predictive Equations for Resting Energy Expenditure
Accuracy and Agreement of Predictive Equations for Resting Energy Expenditure Among Overweight Patients With Polycystic Ovary Syndrome
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Accuracy and Agreement of Predictive Equations for Resting Energy Expenditure Among Overweight Patients With Polycystic Ovary Syndrome
Sponsor study identifier
observational
30
1 country
1
Study Start
December 2012
Date type not reportedThis date has not been verified as actual or estimated.
Primary Completion
June 2013
Actual (reported)Study Completion
June 2013
Actual (reported)Predictive equations are the main clinical tool for determining resting energy expenditure (REE). Thus, it is important to investigate the accuracy and agreement of these equations in different populations and context of diseases. The purpose of this study is to investigate the accuracy and agreement of predictive equations of REE in overweight women with polycystic ovary syndrome (PCOS). The REE of all participants was measured (mREE) by means of indirect calorimetry and predicted (pREE) through ten equations basing on the anthropometric parameters (Harris \& Benedict, WHO/FAO/UNU including weight, WHO/FAO/UNU including weight and height, Owen, Mifflin-St. Jeor, Institute of Medicine, Ireton-Jones, Müeller, De Luis and Lazzer).
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
June 2013
Actual (reported)Click on a node to explore related trials.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
December 2012
Date type not reportedThis date has not been verified as actual or estimated.
June 2013
Actual (reported)June 2013
Actual (reported)May 3, 2015
Actual (reported)May 6, 2015
Actual (reported)Accuracy and agreement of predictive equations of resting energy expenditure
Six month
Comparison and correlation between the resting energy expenditure measured by means of indirect calorimetry and predicted through equations.
Six month
Polycystic ovary syndrome patients, as defined according to the Rotterdam criteria (ESHRE/ASMR, 2004): the presence of at least two of the following factors: chronic anovulation, clinical or biochemical signs of hyperandrogenism and presence of polycystic ovaries;
UFMG Hospital
Belo Horizonte, Minas Gerais, 30640100, Brazil
Rodrigues AMDS, Costa ABP, Campos DL, Silva MPS, Candido AL, Santos LCD, Ferreira AVM. Low validity of predictive equations for calculating resting energy expenditure in overweight and obese women with polycystic ovary syndrome. J Hum Nutr Diet. 2018 Apr;31(2):266-275. doi: 10.1111/jhn.12498. Epub 2017 Aug 8.
Adaliene VM Ferreira, PhD
Federal University of Minas Gerais
30 participants (actual enrollment reported by the registry).
First Submitted
May 3, 2015
First Posted
May 6, 2015
Study Start
December 2012
Date type not reportedThis date has not been verified as actual or estimated.
Comparison Between Mediterranean Diet and High Protein Diet in Women With Polycystic Ovary Syndrome (PCOS)
Contact the study team to confirm eligibility.
Primary Completion
June 2013
Actual (reported)Study Completion
June 2013
Actual (reported)Last Updated
May 6, 2015
Record last verified: 2015-05
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