Fatigue Etiology At Exhaustion When Cycling Above Vs At Or Below Maximal Lactate Steady-state Threshold.
Bibliographic record
Abstract
Exercising above maximal lactate steady state (MLSS) has detrimental effects compared to exercising at MLSS. However, neuromuscular fatigue (NMF) to exercise above MLSS is unknown. PURPOSE: To evaluate NMF during exercise slightly below, at and above MLSS. METHODS: Nine men (24±3 yrs.; 76±7 kg; V̇O2max, 3.55±0.19 L·min-1) exercised to exhaustion at MLSS, 10 W below (-10W) and above (+10W) MLSS. NMF was evaluated before (B), at min 10 (10’), 30 (30’) and at exhaustion, by maximal voluntary contractions (MVC). Voluntary activation (VA) and contractile function of knee extensors [peak twitch torque (TwPt)] were tested using electrically-evoked contractions. Oxygen uptake (V̇O2) and blood lactate concentration ([Lac]) were measured. RESULTS: Time to exhaustion (TTE) for -10W (66±14 min) and +10W (44±8 min) were longer and shorter than MLSS (53±9 min) (p<0.05). V̇O2 was stable for -10W (10’, 2.9±0.19; 30’, 2.9±0.28; TTE, 2.9±0.25 L·min-1) and MLSS (10’, 3.0±0.21; 30’, 3.0±0.29; TTE, 3.1±0.23 L·min-1) (p>0.05), but increased at +10W (10’, 3.0±0.21; 30’, 3.2±0.32; TTE, 3.3±0.39 L·min-1; p<0.05). [Lac] was stable for -10W (10’, 4.1±1.1; 30’, 4.4±1.2; TTE, 4.0±1.0 mM; p>0.05). MLSS showed an increase at TTE (10’, 5.3±1.4; 30’, 5.8±1.4; TTE, 6.1±1.8 mM; p<0.05). +10W showed a constant increase (10’, 5.3±1.2; 30’, 8.0±1.6; TTE, 8.6±1.6 mM; p<0.05). MVC dropped from baseline for -10W (B, 561±178; 10’, 436±128; 30’, 420±131; TTE, 395±120 N; p<0.05), MLSS (B, 518±130; 10’, 405±96; 30’, 361±75; TTE, 344±73 N; p<0.05) and +10W (B, 517±172; 10’, 392±124; 30’, 384±146; TTE, 349±88 N; p<0.05), and was not different amongst conditions. VA dropped from baseline for -10W (B, 98±2; 10’, 90±6; 30’, 89±6; TTE, 89±6 %; p<0.05), MLSS (B, 97±2; 10’, 91±5; 30’, 91±5; TTE, 88±5 N; p<0.05) and +10W (B, 98±2; 10’, 94±5; 30’, 90±7; TTE, 87±7 %; p<0.05), and was not different amongst conditions. TwPt dropped from baseline for -10W (B, 173±30; 10’, 129±22; 30’, 119±17; TTE, 112±17 N; p<0.05), MLSS (B, 172±31; 10’, 129±28; 30’, 119±24; TTE, 111±22 N; p<0.05) and +10W (B, 167±33; 10’, 113±25; 30’, 103±27; TTE, 97±26 N; p<0.05). +10W showed greater decline throughout the bout compared to the other conditions. CONCLUSION: Despite different TTE amongst conditions, peripheral NMF was only different exercising slightly above MLSS compared to the other conditions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".