Predictive Equations for Resting Energy Expenditure

Completed

• Conditions: Polycystic Ovary Syndrome

• Registration Number: NCT02435888
• Lead Sponsor: Federal University of Minas Gerais

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

Not available

Study Timeline

• Study Start: 2012-12
• Primary Completion: 2013-06
• Study Completion: 2013-06
• Status Verified: 2015-05
• Study First Submitted: 2015-05-03
• Study First Submitted QC: 2015-05-05
• Last Update Submitted: 2015-05-05
• Study First Posted: 2015-05-06
• Last Update Posted: 2015-05-06

Recruitment & Eligibility

• Status: COMPLETED
• Sex: Female
• Target Recruitment: 30

Inclusion Criteria

• Women treated in an endocrinology centre specialising in hyperandrogenism at the university hospital of University Federal of Minas Gerais (Belo Horizonte, Minas Gerais, Brazil)
• The patients were of reproductive age (range: 18-45 years)
• were overweight or obese (Body mass index ≥ 25.0 kg/m2) and
• signed an informed consent statement

Exclusion Criteria

• Women who were pregnant,
• were lactating,
• had a diagnosis of hypothyroidism or hyperthyroidism or
• had high physical activity levels were excluded from the sample.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Accuracy and agreement of predictive equations of resting energy expenditure	Six month

Secondary Outcome Measures

Name	Time	Method
Comparison and correlation between the resting energy expenditure measured by means of indirect calorimetry and predicted through equations.	Six month

Trial Locations

Locations (1)

UFMG Hospital; 🇧🇷 Belo horizonte, Minas Gerais, Brazil