Metabolic intensity and exercise tolerance during heart rate reserve–calibrated uphill walking in young adults with lower and higher fitness

Published: 29 September 2026| Version 1 | DOI: 10.17632/g74385yvjf.1
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Description

This dataset supports Figures 2–4 of the manuscript “Metabolic intensity and exercise tolerance during heart rate reserve–calibrated uphill walking in young adults with lower and higher fitness.” It contains de-identified participant-level data from 35 young adults (lower fitness, n = 15; higher fitness, n = 20). The Excel workbook includes time to exhaustion, heart rate reserve, oxygen uptake reserve, baseline-referenced muscle oxygen saturation, and EMG root mean square values, together with figure summaries and reported statistical results. Missing observations are left blank. Time-to-exhaustion values in min.ss format represent minutes and seconds; decimal-minute values are also provided.

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The workbook contains participant-level data for the lower-fitness (LF, n = 15) and higher-fitness (HF, n = 20) groups. Participant identifiers are consistent across the time points within each panel. For Figure 2A, convert time to exhaustion recorded as min.ss to decimal minutes using minutes + seconds/60. For Figure 2B, calculate predicted maximal heart rate as 220 − age and reconstruct Visit 1 resting heart rate as (target heart rate − 0.59 × predicted maximal heart rate)/0.41. Calculate exercise HRR (%) as 100 × (exercise heart rate − resting heart rate)/(predicted maximal heart rate − resting heart rate). For Figure 2C, calculate VO₂R (%) as 100 × (exercise VO₂ − seated baseline VO₂)/(measured VO₂max − seated baseline VO₂). For Figure 3, calculate ΔSmO₂ as exercise SmO₂ minus the same participant’s seated baseline SmO₂; the unit is percentage points. For Figure 4, use the EMG RMS (%MVC) values as provided, without additional normalization to 0% TTE. Keep missing observations blank rather than replacing them with zero. For each group and time point, calculate the mean, sample standard deviation, and 95% confidence interval as mean ± t(0.975, n − 1) × SD/√n. The Statistics worksheet contains the reported inferential results used for figure annotations.

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Exercise Physiology

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