Predictive Equations for Resting Energy Expenditure

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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Key information

Conditions

Polycystic Ovary Syndrome Adnexal Diseases Body Weight Cysts Endocrine System Diseases Female Urogenital Diseases Female Urogenital Diseases and Pregnancy Complications Genital Diseases Genital Diseases, Female Gonadal Disorders Neoplasms Nutrition Disorders Nutritional and Metabolic Diseases Ovarian Cysts Ovarian Diseases Overnutrition Overweight Pathological Conditions, Signs and Symptoms Signs and Symptoms Urogenital Diseases

Age range

18 year–45 year

Sex eligibility

Female

Study type

Observational

Primary location

UFMG Hospital

Belo Horizonte, Minas Gerais, 30640100, Brazil

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

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

Sponsors and collaborators

Lead sponsor

Federal University of Minas Gerais

Other

Registry information

Official study title

Accuracy and Agreement of Predictive Equations for Resting Energy Expenditure Among Overweight Patients With Polycystic Ovary Syndrome

Important dates

Study start: 2012
Primary completion: 2013
Study completion: 2013
First posted: May 6, 2015
Registry last updated: May 6, 2015

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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Completed