Spots Global Cancer Trial Database for Predictive Equations for Resting Energy Expenditure
The following info and data is provided "as is" to help patients around the globe.
We do not endorse or review these studies in any way.
Trial Identification
Brief Title: Predictive Equations for Resting Energy Expenditure
Official Title: Accuracy and Agreement of Predictive Equations for Resting Energy Expenditure Among Overweight Patients With Polycystic Ovary Syndrome
Study ID: NCT02435888
Conditions
Interventions
Study Description
Brief 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).
Detailed Description:
Eligibility
Minimum Age: 18 Years
Eligible Ages: ADULT
Sex: FEMALE
Healthy Volunteers: No
Locations
UFMG Hospital, Belo horizonte, Minas Gerais, Brazil
Contact Details
Name: Adaliene VM Ferreira, PhD
Affiliation: Federal University of Minas Gerais
Role: PRINCIPAL_INVESTIGATOR
Take Control of Your Skin and Body Changes Today.
Try out Spots for free, set up only takes 2 mins.
Join others from around the world:
