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Optimizing Metabolic Assessment: Maximal Fat Metabolism, Lactate Dynamics, and Cardiorespiratory Determinants at Different Pedaling Frequencies

  • Ahmad Alkhatib* (Corresponding / Lead Author)
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Aims/Objectives

Accurate metabolic exercise testing is essential for assessing cardiometabolic health in both athletes and clinical populations with prediabetes and diabetes. This study investigated whether and how fat, carbohydrates and lactate diagnostics are influenced by ergometry testing pedaling frequency.

Methods

This randomized cross-over repeated-measures trial, examined human participants for cardiorespiratory oxygen uptake (mathematical equation) and carbon dioxide production (mathematical equation), and blood lactate concentration (BLC), using two separate incremental load ergometry exercise tests until exhaustion, at higher versus lower cycling pedaling frequencies of 100 and 50 revolution per minute (RPM). Metabolic diagnostics of fatty acid oxidation (FAO), carbohydrates oxidation (CHO), maximal FAO (MFO) and associated MFO intensity (Fatmax) were estimated by stoichiometric equations and compared at 100 versus 50 RPM.

Results

Higher mathematical equation, mathematical equation, BLC and CHO and lower FAO were found for all submaximal intensities at 100 RPM than at 50 RPM (all p < 0.01). Fatmax power output was significantly lower (83.7 ± 20.3 vs. 99.8 ± 25.8 W, p < 0.05, effect size d = 0.70) at 100 than at 50 RPM. However, pedaling frequency-dependent effects reflected nonsignificant changes in MFO (0.58 ± 0.16 vs. 0.52 ± 0.15 g.min−1, p = 0.12, d = 0.39), and also in the corresponding BLC at MFO (1.70 ± 0.45 vs. 1.30 ± 0.39  mmol.L−1, p = 0.06, d = 0.9).

Conclusions

Metabolic assessments should prioritize absolute MFO and BLC dynamical changes over Fatmax intensities, when interpreting fat-oxidation capacity, particularly under varying pedaling frequencies. By jointly characterizing blood-based and respiratory-based diagnostics under different exercise assessment conditions, this study helps improve the reliability of diagnosing the metabolic status in both healthy individuals and patients with metabolic disease.
Original languageEnglish
Article number2259315
JournalJournal of Diabetes Research
DOIs
Publication statusPublished (VoR) - 25 Feb 2026

Keywords

  • cardiorespiratory
  • cycling
  • exercise intensity
  • fat oxidation
  • indirect calorimetry
  • metabolism
  • pedal rate
  • weight loss

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