Predictive Equations for Resting Energy Expenditure
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ClinicalTrials.gov Identifier: NCT02435888
Recruitment Status :
First Posted : May 6, 2015
Last Update Posted : May 6, 2015
Federal University of Minas Gerais
Information provided by (Responsible Party):
Maria Isabel Toulson Davisson Correia, Federal University of Minas Gerais
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).
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Layout table for eligibility information
Ages Eligible for Study:
18 Years to 45 Years (Adult)
Sexes Eligible for Study:
Accepts Healthy Volunteers:
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;
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
Women who were pregnant,
had a diagnosis of hypothyroidism or hyperthyroidism or
had high physical activity levels were excluded from the sample.