An acute bout of endurance exercise but not sprint interval exercise enhances insulin sensitivity
Bibliographic record
Abstract
An acute bout of endurance exercise (EE) enhances insulin sensitivity, but the effects of sprint interval exercise (SIE) have not yet been described. We sought to compare insulin sensitivity at baseline and after an acute bout of EE and SIE in healthy men (n = 8) and women (n = 5) (age, 20.7 +/- 0.3 years; peak oxygen consumption (VO2 peak), 42.6 +/- 1.7 mL.kg(-1).min(-1); <1.5 days.week(-1) structured exercise; body fat, 21.1 +/- 1.9%). Subjects underwent 3 oral glucose tolerance tests (OGTT(s)) the day after each of the following 3 conditions: no exercise, baseline (OGTT(B)); SIE at approximately 125% VO(2 peak) (OGTT(SIE)); and EE at approximately 75% VO(2 peak )(OGTT(EE)). SIE and EE sessions were randomized for each subject. Subjects consumed identical meals the day preceding each OGTT. Two insulin sensitivity indices - composite whole-body insulin sensitivity index (ISI-COMP) and ISI-hepatic insulin sensitivity (HOMA) - were calculated, using previously validated formulas (ISI-COMP = 10 000/ radical(glucose(fasting)) x insulin(fasting) x glucose(mean OGTT) x insulin(mean OGTT)); ISI-HOMA = 22.5/(insulin(fasting) x glucose(fasting)), and the plasma concentrations of cytokines interleukin-6 and tumor necrosis factor-alpha were measured. There were no differences by sex for any condition (men vs. women, p > 0.05). Pearson's correlation coefficients between ISI-COMP and ISI-HOMA for each condition were highly correlated (p < 0.01), and followed similar patterns of response. ISI-COMP(EE) was 71.4% higher than ISI-COMP(B) (8.4 +/- 1.4 vs. 4.9 +/- 1.0; p < 0.01) and 40.0% higher than ISI-COMPSIE (8.4 +/- 1.4 vs. 6.0 +/- 1.5; p < 0.05), but there was no difference between ISI-COMP(B) and ISI-COMP(SIE) (p = 0.182). VO(2 peak) was highly correlated with both ISI-COMP and ISI-HOMA during baseline and SIE test conditions (p < 0.02). These findings demonstrate that an acute bout of EE, but not SIE, increases insulin sensitivity relative to a no-exercise control condition in healthy males and females. While these findings underscore the use of regular EE as an effective intervention strategy against insulin resistance, additional research examining repeated sessions of SIE on insulin sensitivity is warranted.
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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) | 0.001 | 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".