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Predictive Equations for Resting Energy Expenditure

NCT02435888 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 30

Last updated 2015-05-06

No results posted yet for this study

Summary

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).

Conditions

  • Polycystic Ovary Syndrome

Sponsors & Collaborators

  • Federal University of Minas Gerais

    lead OTHER

Principal Investigators

  • Adaliene VM Ferreira, PhD · Federal University of Minas Gerais

Eligibility

Min Age
18 Years
Max Age
45 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2012-12-31
Primary Completion
2013-06-30
Completion
2013-06-30

Countries

  • Brazil

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02435888 on ClinicalTrials.gov