Dataset for the day-to-day reliability of peak fat oxidation and FATMAX

Dataset for the day-to-day reliability of peak fat oxidation and FATMAX

The aims of this study were to characterise the day-to-day reliability of peak fat oxidation rates (PFO), and the exercise intensity it occurs at (i.e. FATMAX), in a diverse cohort of healthy men and women. Additionally, this study explored the level of agreement between three different data analysis approaches [the measured values approach, polynomial second order (P2) and the SINE model (SIN)] to determine PFO and FATMAX. This study was a cross-sectional study that recruited n = 115 adults (aged 18 – 65 years) who had varying levels of cardiorespiratory fitness, habitual physical activity levels and body composition. Participants completed three trials (Trial A, Trial B and Trial C) alongside the assessment of habitual physical activity levels (via a chest worn monitor) and dietary intake (self-reported diet record).

The dataset includes demographic data of the participants (n=115) and data from the three trials they participated in. Types of data that were collected during the trials are as follows - Trial A and Trial B followed identical protocols that involved anthropometric measurements, resting metabolic rate, a resting venous blood sample and the completion of a graded exercise test to determine PFO and FATMAX by indirect calorimetry. At Trial C, body composition was assessed (via a dual energy x-ray absorptiometry scan) and optional adipose tissue and/or skeletal muscle biopsies were obtained. All trials were completed in an overnight fasted-state.

Keywords:
exercise metabolism, fat oxidation, reliability
Subjects:
Biomolecules and biochemistry

Cite this dataset as:
Chrzanowski-Smith, O., Edinburgh, R., Gonzalez, J., 2020. Dataset for the day-to-day reliability of peak fat oxidation and FATMAX. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00723.

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Data

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Dataset that contains individual participant data that statistical analysis was performed on for this study.

Creators

Oliver Chrzanowski-Smith
University of Bath

Rob Edinburgh
University of Bath

Javier Gonzalez
University of Bath

Contributors

Mark Thomas
Data Collector
University of Bath

Nicos Haralabidis
Data Collector
University of Bath

Sean Williams
Supervisor
University of Bath

James Betts
Supervisor
University of Bath

University of Bath
Rights Holder

Coverage

Collection date(s):

From 8 January 2018 to 28 May 2019

Documentation

Data collection method:

Please see attached readme file.

Documentation Files

readme_file_dat ... 2019-11-06.docx
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Creative Commons: Attribution 4.0

This document outlines the methodology employed and includes technical details such as the equipment used. Additionally, it outlines deviances from the study protocol and the sensitivity analyses that were performed.

Funders

Understanding sex differences, nutrition and exercise as determinants of human substrate oxidation

University of Bath Alumni fund

Understanding sex differences, nutrition and exercise as determinants of human substrate oxidation

Publication details

Publication date: 13 May 2020
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00723

URL for this record: https://researchdata.bath.ac.uk/id/eprint/723

Related articles

Chrzanowski-Smith, O. J., Edinburgh, R. M., Thomas, M. P., Haralabidis, N., Williams, S., Betts, J. A. and Gonzalez, J. T., 2020. The day-to-day reliability of peak fat oxidation and FATMAX. European Journal of Applied Physiology. Available from: https://doi.org/10.1007/s00421-020-04397-3.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Oliver Chrzanowski-Smith

Departments:

Faculty of Humanities & Social Sciences
Health