Accuracy and Agreement of Predictive Equations for Resting Energy Expenditure Among Overweight Patients With Polycystic Ovary Syndrome
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 30
- 试验地点
- 1
- 主要终点
- Accuracy and agreement of predictive equations of resting energy expenditure
研究概览
简要总结
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).
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 45 Years(Adult)
- 性别
- Female
- 接受健康志愿者
- 否
入选标准
- •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
排除标准
- •Women who were pregnant,
- •were lactating,
- •had a diagnosis of hypothyroidism or hyperthyroidism or
- •had high physical activity levels were excluded from the sample.
结局指标
主要结局
Accuracy and agreement of predictive equations of resting energy expenditure
时间窗: Six month
次要结局
- Comparison and correlation between the resting energy expenditure measured by means of indirect calorimetry and predicted through equations.(Six month)
研究者
Maria Isabel Toulson Davisson Correia
Professor, Department of Surgery, School of Medicine
Federal University of Minas Gerais
