Metabolic Thresholds and Fat Utilization Points Correlation
MATDFP
New Methodological Approach to Metabolic Thresholds Detection; Examining Fat Utilization Points and Metabolic Thresholds Correlation Strength
1 other identifier
observational
250
1 country
1
Brief Summary
To examine existence of connection between fat utilization points, both maximal and minimal with individual metabolic thresholds in different subjects. As a consequence, this innovative approach could offer a supplementary method for both aerobic and anaerobic thresholds detection as well as useful and practical exercise intensity selection marker.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started May 2016
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 1, 2016
CompletedFirst Submitted
Initial submission to the registry
December 21, 2018
CompletedFirst Posted
Study publicly available on registry
December 28, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 30, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
December 30, 2022
CompletedJanuary 20, 2023
January 1, 2023
6.7 years
December 21, 2018
January 18, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Relationship between metabolic threshold and fat oxidation points (FATmax) matching %HRmax
Regular exercise at FATmax intensity has been proposed as a key factor to optimize the body's ability to oxidize lipids.Exercise intensity matching FATmax will be determined via indirect calorimetry and expressed by using %HRmax.In contrast to the %HRmax method, an individualized approach to exercise intensity prescription based on metabolic thresholds describes specific metabolic phases during exercise and intends to account for differences in the body's physiological and functional capacity.Metabolic thresholds will be determined via either gas analysis or/and lactate analysis and expressed in %HRmax.If connection between these two %HRmax exists,it would integrate the most relevant indices for planning and assessing an effective exercise program.Existence of connection between %HRmax matching both parameters will be evaluated by using correlation and levels of agreement by using MedCalc statistical software.
Each primary outcome measure (metabolic thresholds and fat oxidation points, is sampled continuously through the test. Test duration is 12-16 minutes.Existence of correlation will be evaluated immediately after test
Secondary Outcomes (1)
Relationship between metabolic threshold and fat oxidation points (FATmax) matching %VO2max
Each primary outcome measure (metabolic thresholds and fat oxidation points, is sampled continuously through the test. Test duration is 12-16 minutes. Existence of correlation will be evaluated immediately after test
Study Arms (3)
Obese men and women
Metabolic thresholds and fat oxidation points relationship in Obese males and females, age 18-60y, body fat \> 30%
Male and female athletes
Metabolic thresholds and fat oxidation points relationship in Athletic males and females, age 18-60y.
Sedentary females and males
Metabolic thresholds and fat oxidation points relationship in Sedentary females and males, age 18-60y,
Interventions
Investigators aim to determine exercise intensity at which metabolic thresholds and fat oxidation points occur by using non-invasive breath-by-breath gas analysis during either graded treadmill or cycle ergometry test (2min stages and 1km/h or 50 W load increase) till exhaustion to determine maximal oxygen uptake (VO2max), with gases being collected at the mouth level. The strength of the relationship between AeT and at FATmax will be assessed using the Pearson product moment (r) correlation coefficient with same being done for AnT and FATmin correlation. A coefficient of determination (R2) will be used to detect the proportion of existing variance. A paired t-test will be used to asses' differences between measured variables. Bland-altman will be used to determine levels of agreement.
Eligibility Criteria
Athletic, moderately trained, sedentary and obese males and females
You may qualify if:
- Healthy
- Non smokers
- No evidence of any metabolic, pulmonary or cardiovascular diseases possibly affecting substrates utilization.
- No presence of musculoskeletal injuries (Must be able to perform graded exercise test on a treadmill or a cycle ergometer).
- Males and females, age 18-60, divided in following 4 groups: obese, sedentary, moderately trained, athletes.
- For obese group of individuals, body fat \> 30%
- For sedentary group of individuals, no physical activity in last 3 years
- For athletic group of individuals, \> 12 h training per week
- For moderately trained individuals. \< 3 h per week of physical activity
- Willing to allow data publication.
You may not qualify if:
- Evidence of any metabolic, pulmonary or cardiovascular diseases possibly affecting substrates utilization.
- Smokers.
- High blood pressure.
- Using supplements possibly affecting substrates utilization.
- Non willing to allow data publication.
- Not finishing grade exercise test protocol till exhaustion to determine VO2max.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Sport Studio Banja Lukalead
- Aspire Medicalcollaborator
- Appalachian State Universitycollaborator
- University of South Australiacollaborator
- University Ghentcollaborator
- University of Birminghamcollaborator
- Stanford Universitycollaborator
- Cosmed USA, Inc.collaborator
- University Hospital of Splitcollaborator
- University of Urbino "Carlo Bo"collaborator
- Universidad de Granadacollaborator
- Autonomous University of Ciudad Juarezcollaborator
Study Sites (1)
Sport Studio Banja Luka
Banja Luka, 78000, Bosnia and Herzegovina
Related Publications (9)
Peric R, DI Pietro A, Myers J, Nikolovski Z. A systematic comparison of commonly used stoichiometric equations to estimate fat oxidation during exercise in athletes. J Sports Med Phys Fitness. 2021 Oct;61(10):1354-1361. doi: 10.23736/S0022-4707.20.11747-X. Epub 2020 Dec 14.
PMID: 33314884BACKGROUNDPeric R, Meucci M, Nikolovski Z. Fat Utilization During High-Intensity Exercise: When Does It End? Sports Med Open. 2016 Dec;2(1):35. doi: 10.1186/s40798-016-0060-1. Epub 2016 Aug 31.
PMID: 27747790RESULTPeric R, Meucci M, Bourdon PC, Nikolovski Z. Does the aerobic threshold correlate with the maximal fat oxidation rate in short stage treadmill tests? J Sports Med Phys Fitness. 2018 Oct;58(10):1412-1417. doi: 10.23736/S0022-4707.17.07555-7. Epub 2017 Jul 25.
PMID: 28745473RESULTMeucci M, Peric R. Correlation Between Aerobic Threshold And Point Of Maximal Fat Utilization In Male Runners: 1678 Board #331 June 2, 8: 00 AM - 9: 30 AM. Med Sci Sports Exerc. 2016 May;48(5 Suppl 1):466-7. doi: 10.1249/01.mss.0000486403.83644.7e.
RESULTPeric R, Nikolovski Z. Can metabolic thresholds be used as exercise intensity markers in adult men with obesity - fat burn points used as an exercise marker. Comparative Exercise Physiology: 16 (2)- Pages: 113 - 119. https://doi.org/10.3920/CEP190035
RESULTNikolovski Z, Barbaresi S, Cable T, Peric R. Evaluating the influence of differences in methodological approach on metabolic thresholds and fat oxidation points relationship. Eur J Sport Sci. 2021 Jan;21(1):61-68. doi: 10.1080/17461391.2020.1717640. Epub 2020 Jan 31.
PMID: 31944160RESULTMeucci M, Nandagiri V, Kavirayuni VS, Whang A, Collier SR. Correlation Between Heart Rate at Maximal Fat Oxidation and Aerobic Threshold in Healthy Adolescent Boys and Girls. Pediatr Exerc Sci. 2021 May 6;33(3):139-143. doi: 10.1123/pes.2020-0210.
PMID: 33958504RESULTPeric R, Nikolovski Z, Meucci M, Tadger P, Ferri Marini C, Amaro-Gahete FJ. A Systematic Review and Meta-Analysis on the Association and Differences between Aerobic Threshold and Point of Optimal Fat Oxidation. Int J Environ Res Public Health. 2022 May 26;19(11):6479. doi: 10.3390/ijerph19116479.
PMID: 35682065RESULTFerri Marini C, Tadger P, Chavez-Guevara IA, Tipton E, Meucci M, Nikolovski Z, Amaro-Gahete FJ, Peric R. Factors Determining the Agreement between Aerobic Threshold and Point of Maximal Fat Oxidation: Follow-Up on a Systematic Review and Meta-Analysis on Association. Int J Environ Res Public Health. 2022 Dec 27;20(1):453. doi: 10.3390/ijerph20010453.
PMID: 36612784RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ratko Peric, Doctorate
Sport Studio Banja Luka
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Exercise Physiologist PhD
Study Record Dates
First Submitted
December 21, 2018
First Posted
December 28, 2018
Study Start
May 1, 2016
Primary Completion
December 30, 2022
Study Completion
December 30, 2022
Last Updated
January 20, 2023
Record last verified: 2023-01