Comparison Of Measured To Predicted Resting Metabolism

NCT ID: NCT06350253

Last Updated: 2025-07-30

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

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Recruitment Status

COMPLETED

Total Enrollment

90 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-03-14

Study Completion Date

2024-12-31

Brief Summary

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The purpose of this study is to compare RMR values from the BIA, predicted equations, and indirect calorimetry.

Detailed Description

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Resting metabolic rate (RMR) describes the number of calories a person utilizes while at rest. The gold standard measurement is via inspired and expired air using a metabolic cart. However, researchers have established estimation equations and the use of body composition analysis to predict RMR when a metabolic cart is unavailable. The accuracy of the predicted equations and whole-body bioelectrical impedance (BIA) machines that produce this data is unknown. Therefore, the purpose of this study is to compare RMR values from the BIA, predicted equations, and indirect calorimetry.

Aim 1: to compare measured RMR from indirect calorimetry to values provided by the InBody 770 BIA machine and to established gender and age-appropriate prediction equations.

Aim 2: to compare RMR measured from indirect calorimetry using a metabolic cart (Gold Standard) to the Medgem handheld indirect calorimeter (FDA approved device).

Conditions

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Body Weight

Study Design

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Observational Model Type

COHORT

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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18-24 years old

18-24 years old

Metabolic cart

Intervention Type DIAGNOSTIC_TEST

RMR measurement via metabolic cart

MedGem

Intervention Type DIAGNOSTIC_TEST

RMR measurement via MedGem

BIA

Intervention Type DIAGNOSTIC_TEST

RMR estimation from BIA analysis

24-29 years old

Metabolic cart

Intervention Type DIAGNOSTIC_TEST

RMR measurement via metabolic cart

MedGem

Intervention Type DIAGNOSTIC_TEST

RMR measurement via MedGem

BIA

Intervention Type DIAGNOSTIC_TEST

RMR estimation from BIA analysis

30-39 years old

Metabolic cart

Intervention Type DIAGNOSTIC_TEST

RMR measurement via metabolic cart

MedGem

Intervention Type DIAGNOSTIC_TEST

RMR measurement via MedGem

BIA

Intervention Type DIAGNOSTIC_TEST

RMR estimation from BIA analysis

40-49 years old

Metabolic cart

Intervention Type DIAGNOSTIC_TEST

RMR measurement via metabolic cart

MedGem

Intervention Type DIAGNOSTIC_TEST

RMR measurement via MedGem

BIA

Intervention Type DIAGNOSTIC_TEST

RMR estimation from BIA analysis

50-60 years old

Metabolic cart

Intervention Type DIAGNOSTIC_TEST

RMR measurement via metabolic cart

MedGem

Intervention Type DIAGNOSTIC_TEST

RMR measurement via MedGem

BIA

Intervention Type DIAGNOSTIC_TEST

RMR estimation from BIA analysis

Interventions

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Metabolic cart

RMR measurement via metabolic cart

Intervention Type DIAGNOSTIC_TEST

MedGem

RMR measurement via MedGem

Intervention Type DIAGNOSTIC_TEST

BIA

RMR estimation from BIA analysis

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Men \& women, aged 18-60

Exclusion Criteria

* Have any known or suspected metabolic diseases such as diabetes, thyroid disorder, or high cholesterol
* Have any known or suspected cardiovascular or pulmonary diseases such as hypertension
* Are currently on beta blockers, taking antihypertensives, or antidepressants
* Current smoker or quit less than a year ago
* Unwilling to provide finger stick and urine sample
Minimum Eligible Age

18 Years

Maximum Eligible Age

60 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Ohio University

OTHER

Sponsor Role lead

Responsible Party

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Angela Hillman

Assistant Professor, Exercise Physiology

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Ohio University Exercise Physiology Lab

Athens, Ohio, United States

Site Status

Countries

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United States

Other Identifiers

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22-X-187

Identifier Type: -

Identifier Source: org_study_id

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