Evening Superiority in Ventilatory—Metabolic Responses and Endurance Capacity During Maximal Incremental Cycling in Trained Young Men

Background: This study investigated the diurnal variation in endurance performance and the corresponding ventilatory/metabolic responses during a maximal incremental cycling test. Methods: Thirty physically active young men (age = 23.5 ± 2.2 years; weekly exercise volume: ≥6 h·wk−1) with regular daily routines were recruited for a randomized crossover study. Each participant completed two maximal incremental cycling tests to volitional exhaustion: one in the morning (07:00–09:00) and another in the evening (17:00–19:00). The two sessions were separated by a one-week washout period. Key ventilatory and metabolic variables, including maximal voluntary ventilation (MVV) and maximal oxygen uptake (VO2max), were continuously measured, and time to exhaustion (TTE) was monitored. Paired-samples t-tests were used to compare morning versus evening outcomes. Results: Key performance and physiological variables, including MVV (p < 0.01), VO2max (p < 0.01), and TTE (p < 0.01), were significantly improved in the evening as compared to the morning. Conclusions: Both ventilatory/metabolic function and endurance performance during a maximal incremental cycling test induce a pronounced diurnal rhythm in trained young men, with superior outcomes observed in the evening.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2026-02-21
DOI
https://doi.org/10.3390/app16042112
Primary Topic
Cardiovascular and exercise physiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evening Superiority in Ventilatory—Metabolic Responses and Endurance Capacity During Maximal Incremental Cycling in Trained Young Men

Junqi Wu, Chunlei Li, Wenzheng Zha, Yuying Su et al.
Applied Sciences
Cardiovascular and exercise physiology
article

Evening Superiority in Ventilatory—Metabolic Responses and Endurance Capacity During Maximal Incremental Cycling in Trained Young Men

Junqi Wu, Chunlei Li, Wenzheng Zha, Yuying Su, Limingfei Zhou
article en

Abstract

Background: This study investigated the diurnal variation in endurance performance and the corresponding ventilatory/metabolic responses during a maximal incremental cycling test. Methods: Thirty physically active young men (age = 23.5 ± 2.2 years; weekly exercise volume: ≥6 h·wk−1) with regular daily routines were recruited for a randomized crossover study. Each participant completed two maximal incremental cycling tests to volitional exhaustion: one in the morning (07:00–09:00) and another in the evening (17:00–19:00). The two sessions were separated by a one-week washout period. Key ventilatory and metabolic variables, including maximal voluntary ventilation (MVV) and maximal oxygen uptake (VO2max), were continuously measured, and time to exhaustion (TTE) was monitored. Paired-samples t-tests were used to compare morning versus evening outcomes. Results: Key performance and physiological variables, including MVV (p < 0.01), VO2max (p < 0.01), and TTE (p < 0.01), were significantly improved in the evening as compared to the morning. Conclusions: Both ventilatory/metabolic function and endurance performance during a maximal incremental cycling test induce a pronounced diurnal rhythm in trained young men, with superior outcomes observed in the evening.

Applied SciencesVol. 16(4)
General Administration of Sport of China (CN), Beijing Sport University (CN)
Openalex Percentile: Top 46%
Cardiovascular and exercise physiology
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.