High-intensity functional exercise does not cause persistent elevations in augmentation index in young men and women
Bibliographic record
Abstract
Elevations in central augmentation index (AIx) are predictive of cardiovascular disease. The objective of this study was to examine AIx immediately and 24 h following an acute bout of high-intensity functional training (HIFT) in apparently healthy young adults. A second aim compared the exercise-induced AIx recovery response between men and women. Thirty-two recreationally active younger adults ( n = 16 men) were tested. Baseline central hemodynamic measures were assessed, followed by a single bout of bodyweight HIFT. The HIFT included 4 rounds of burpees, jump squats, split squats, and walking lunges. Assessments were repeated 5, 10, 15, and 24 h post-exercise. AIx was normalized to a heart rate of 75 bpm (AIx75). There was a significant main effect of time on AIx75 across all groups ( P < 0.001) with AIx75 increasing at all acute time points compared with baseline and returning to resting values 24 h post-exercise. When examining sex differences after covarying for height and body fat percentage, the authors found no time × sex interaction ( P = 0.62), or main effect for sex ( P = 0.41), but the significant main effect of time remained ( P < 0.001). The AIx75 response to HIFT follows a similar recovery pattern as previously studied modes of exercise with no residual effects 24 h later and no differences between men and women indicating no persistent cardiovascular strain in younger adults participating in this mode of exercise.
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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 | 0.001 |
| 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 | 0.001 |
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".