Polycystic Ovary Syndrome
Conditions
Keywords
Resting energy expenditure, Predictive equations, Overweight
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).
Interventions
None listed
Sponsors
Federal University of Minas Gerais
Study design
Observational model
CASE_ONLY
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
FEMALE
Age
18 Years to 45 Years
Healthy volunteers
No
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.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Accuracy and agreement of predictive equations of resting energy expenditure | Six month |
Secondary
| Measure | Time frame |
|---|---|
| Comparison and correlation between the resting energy expenditure measured by means of indirect calorimetry and predicted through equations. | Six month |
Countries
Brazil
Outcome results
None listed