Assessment of Energy Expenditure by Indirect Calorimetry for a Daily 10,000 Steps Goal

NCT ID: NCT00995579

Last Updated: 2009-10-15

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

20 participants

Study Classification

OBSERVATIONAL

Study Start Date

2008-11-30

Study Completion Date

2009-02-28

Brief Summary

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

The purpose of this study was to measure the actual energy expenditure (EE) using indirect calorimetry for the 10,000 steps goal, and compared to the estimated EE using predictive equation.

Detailed Description

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

Physical inactivity is considered a major risk factor for a number of adverse health outcomes such as obesity, hypertension, cardiovascular disease, diabetes mellitus, and all-cause mortality. Certain guidelines specifically recommend taking 10,000 steps per day for a goal. Some of pedometers have a function of energy expenditure estimation in addition to counting steps. However, the EE derived from pedometers is the indirect estimation calculated from metabolic calculations instead of direct measurement.The purpose of this study was to measure the actual energy expenditure (EE) using indirect calorimetry for the 10,000 steps goal, and compared to the estimated EE using predictive equation.

Twenty healthy college volunteers were recruited. First, height and weight were measured from each subject. Body mass index (BMI) was calculated as the ratio of weight to height in meters squared. We used BioScan 920 to get all subjects' body composition data including fat mass and fat-free mass. Followed by measurements of basic characteristics, all subjects wore the pedometer and walked 10,000 steps on the treadmill. The walking speeds ranged from 3.0 to 4.0 miles per hour (mph) according to different gender. The speed of 4.0 mph was set for male and 3.0 mph was set for female. If the subject could'nt follow the pre-set speed, he/she could walk with self-comfortable speed but the speed should be in the range of 3.0 to 4.0 mph defined as moderate intensity of ACSM's recommendation. Subjects rested on the chair with back support for 3 minutes and then completed the 10,000 steps goal. After recovery for 3 minutes, the data collection was finished. The stopping criteria of the test were as follows: dizziness, nausea, dyspnea, or leg fatigue which leads subjects unable to continue. Expired gas was collected using the Cosmed K4b2 portable indirect calorimetry system, and EE was monitored breath-by-breath according to the following formula:

EE (Kcal/min)= 3.781×VO2+1.237×VCO2

where VO2 represents the standardized oxygen consumption per minute, and VCO2 is the carbon dioxide production per minute. Estimated EE was calculated by the predictive equation published by ACSM:

VO2 (ml/kg/min)= 0.1×S (m/min)+1.8×S×G (%)+3.5

where S represents the walking speed, and G is the walking grade.

The total walking duration and distance for taking 10,000 steps were also recorded. Pulmonary function tests were performed on the other day to get each subject's functional vital capacity (FVC). We used this parameter to estimate subject's predicted maximal minute ventilation (predicted max VE) according to the equation provided in the guidelines of American Thoracic Society (ATS) for cardiopulmonary exercise testing:

VE (L/min)= 26.3×VC-34

where VC represents vital capacity. The ratio of averaged VE during walking and predicted maximal VE was calculated to determine the level of exercise intensity for taking 10,000 steps.

Conditions

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

Physical Activity Energy Expenditure

Study Design

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

Observational Model Type

COHORT

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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

Healthy college volunteers

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

* Aged 18-30 y/o

Exclusion Criteria

* Unstable systemic disease, respiratory diseases, cardiac diseases or other clinical diagnosis which would affect outcome measure
* Subjects who answered yes to any of the PAR-Q questions or who were not physically able to complete the test
Minimum Eligible Age

18 Years

Maximum Eligible Age

30 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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

National Taiwan University Hospital

OTHER

Sponsor Role lead

Responsible Party

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

School and Graduate Institute of Physical Therapy, National Taiwan University

Principal Investigators

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

Liying Wang, Ph.D.

Role: PRINCIPAL_INVESTIGATOR

chool and Graduate Institute of Physical Therapy, National Taiwan University

Locations

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

School and Graduate Institute of Physical Therapy, National Taiwan University

Taipei, , Taiwan

Site Status

Countries

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

Taiwan

Other Identifiers

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

200809081R

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

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