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.
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.
Export
Data
Open_Access … 2019-11-06.xlsx
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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 … 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
University of Bath
https://doi.org/10.13039/501100000835
University Research Studentship
University of Bath Alumni Fund
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 papers and books
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, 120(8), 1745-1759. 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
Faculty of Humanities & Social Sciences
Health