Predictive Equations for Resting Energy Expenditure

NCT ID: NCT02435888

Last Updated: 2015-05-06

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

30 participants

Study Classification

OBSERVATIONAL

Study Start Date

2012-12-31

Study Completion Date

2013-06-30

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

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).

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Polycystic Ovary Syndrome

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_ONLY

Study Time Perspective

CROSS_SECTIONAL

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Polycystic ovary syndrome

No interventions assigned to this group

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

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.
Minimum Eligible Age

18 Years

Maximum Eligible Age

45 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Federal University of Minas Gerais

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Maria Isabel Toulson Davisson Correia

Professor, Department of Surgery, School of Medicine

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Adaliene VM Ferreira, PhD

Role: PRINCIPAL_INVESTIGATOR

Federal University of Minas Gerais

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

UFMG Hospital

Belo Horizonte, Minas Gerais, Brazil

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Brazil

References

Explore related publications, articles, or registry entries linked to this study.

Rodrigues AMDS, Costa ABP, Campos DL, Silva MPS, Candido AL, Santos LCD, Ferreira AVM. Low validity of predictive equations for calculating resting energy expenditure in overweight and obese women with polycystic ovary syndrome. J Hum Nutr Diet. 2018 Apr;31(2):266-275. doi: 10.1111/jhn.12498. Epub 2017 Aug 8.

Reference Type DERIVED
PMID: 28791776 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

ETIC 0244.0.0203.000-10

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.