The Reliability Of Using NIRS To Determine The Power Associated With Maximal Metabolic Steady State

PURPOSE: Investigate the reliability of using muscle oxygen saturation (%SmO2) measured with near-infrared spectroscopy to determine the power associated with the maximal metabolic steady state. METHODS: Twenty-five endurance-trained participants (12 women, Age: 29 ± 7 years, V̇O2MAX: 53.2 ± 6.9 ml·kg-1·min-1, Peak Power: 342 ± 64 W) completed six visits. Maximal oxygen uptake and gas exchange parameters were determined via a graded exercise test on a cycle ergometer. Participants then completed four weekly cycling protocols consisting of four, 4-minute stages spanning from moderate to severe exercise intensity domains. Menstrual cycle phase did not dictate visit order for women participants. During each stage, %SmO2 was measured using near-infrared spectroscopy on the rectus femoris. The %SmO2 zero-slope, which corresponds to a balanced oxygen supply with utilization, determined the power associated with the maximal metabolic steady state (MMSS) for each visit. Specifically, a linear regression between stage power (x-axis) and the slope of the %SmO2 response during each stage (y-axis) was used to calculate the power at a slope of zero. Differences in power at MMSS across visits were examined via one-way ANOVA, and reliability was assessed using the intraclass correlation coefficient (ICC 2,1 - two-way random effects, single rater, absolute agreement) as well as the standard error of measurement (SEM) and coefficient of variation (CV). RESULTS: The main effect of visit was not significant for power at MMSS (p = 0.111). The ICC across visits was 0.953 (95%CI: 0.917-0.978) indicating excellent reliability with a SEM of 9.2 W and CV of 4.2%. CONCLUSIONS: These results demonstrate the %SmO2 zero-slope method can reliability estimate the power at MMSS using NIRS Supported by: Wu Tsai Human Performance Alliance at the University of Oregon

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2025-09-16
DOI
https://doi.org/10.1249/01.mss.0001158260.87243.73
Primary Topic
Infrared Thermography in Medicine
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Reliability Of Using NIRS To Determine The Power Associated With Maximal Metabolic Steady State

Brad W. Wilkins, Jake H. Hudgins, Mira I. Schoeberlein
Medicine & Science in Sports & Exercise
Infrared Thermography in Medicine
article

The Reliability Of Using NIRS To Determine The Power Associated With Maximal Metabolic Steady State

Brad W. Wilkins, Jake H. Hudgins, Mira I. Schoeberlein
article en

Abstract

PURPOSE: Investigate the reliability of using muscle oxygen saturation (%SmO2) measured with near-infrared spectroscopy to determine the power associated with the maximal metabolic steady state. METHODS: Twenty-five endurance-trained participants (12 women, Age: 29 ± 7 years, V̇O2MAX: 53.2 ± 6.9 ml·kg-1·min-1, Peak Power: 342 ± 64 W) completed six visits. Maximal oxygen uptake and gas exchange parameters were determined via a graded exercise test on a cycle ergometer. Participants then completed four weekly cycling protocols consisting of four, 4-minute stages spanning from moderate to severe exercise intensity domains. Menstrual cycle phase did not dictate visit order for women participants. During each stage, %SmO2 was measured using near-infrared spectroscopy on the rectus femoris. The %SmO2 zero-slope, which corresponds to a balanced oxygen supply with utilization, determined the power associated with the maximal metabolic steady state (MMSS) for each visit. Specifically, a linear regression between stage power (x-axis) and the slope of the %SmO2 response during each stage (y-axis) was used to calculate the power at a slope of zero. Differences in power at MMSS across visits were examined via one-way ANOVA, and reliability was assessed using the intraclass correlation coefficient (ICC 2,1 - two-way random effects, single rater, absolute agreement) as well as the standard error of measurement (SEM) and coefficient of variation (CV). RESULTS: The main effect of visit was not significant for power at MMSS (p = 0.111). The ICC across visits was 0.953 (95%CI: 0.917-0.978) indicating excellent reliability with a SEM of 9.2 W and CV of 4.2%. CONCLUSIONS: These results demonstrate the %SmO2 zero-slope method can reliability estimate the power at MMSS using NIRS Supported by: Wu Tsai Human Performance Alliance at the University of Oregon

Medicine & Science in Sports & ExerciseVol. 57(10S)
University of Oregon (US)
Openalex Percentile: Top 63%
Infrared Thermography in Medicine
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.