Predictive Equations for Resting Energy Expenditure

Federal University of Minas Gerais30 enrolled

Overview

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).

Study Type

OBSERVATIONAL

Enrollment

Conditions

Polycystic Ovary Syndrome

Eligibility

Sex: FEMALEMin age: 18 YearsMax age: 45 Years

Medical Language ↔ Plain English

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.

Locations (1)

Outcomes

Primary Outcomes

Accuracy and agreement of predictive equations of resting energy expenditure

Time frame: Six month

Secondary Outcomes

Comparison and correlation between the resting energy expenditure measured by means of indirect calorimetry and predicted through equations.

Time frame: Six month