High-intensity Interval Training Versus Moderate-intensity Continuous Training For Improving Cardiometabolic Measures
Bibliographic record
Abstract
Recent evidence suggests that high-intensity interval training (HIIT) may result in superior cardiometabolic benefits compared to traditional moderate-intensity continuous training (MICT), but comparisons of these adaptations being sustained independently has not been adequately studied. PURPOSE: To investigate maintenance of cardiometabolic adaptations to HIIT or MICT in inactive adults with prediabetes over six months of independent exercise. METHODS: 30 females and 6 males with prediabetes (age = 51 ± 10 yr) were randomly assigned to a 10 d progressive HIIT (n= 18, 4-10 X 1-min @ ∼85% peak oxygen uptake [VO2peak]) or MICT (n=18, 20-50 min @ ∼60% VO2peak) supervised training program. Fasting glucose and insulin, anthropometrics, and VO2peak were assessed before and after training. Individuals were then prescribed to maintain, on their own, thrice weekly sessions of 10 x 1 min @ ∼85% VO2peak (HIIT) or 50 min @ ∼60% VO2peak (MICT), returning for testing at 1 and 6 months. RESULTS: 10 d of both HIIT and MICT led to improvements in VO2peak (P < 0.001, ∼6.1%; 1.80 ± .4 vs. 1.91 ± .5 L/min, pre vs. post), which was maintained at 1 (P = .002, ∼5%; 1.89 ± .5 L/min) but not 6 months. However, one-way RM ANOVA indicated a trend towards the improvement being maintained at 6 months in HIIT (P = .052) but not MICT (P = .817). Results for relative VO2peak and peak workload were similar. There were no significant changes in plasma glucose, insulin or HOMA-IR after HIIT but both fasting insulin (P = .027) and HOMA-IR (P = .017) increased at 1 (∼37%) and 6 months (∼44%) compared to pre training levels in MICT. No significant differences in free fatty acids, waist circumference, or body mass were noted in either group over time. CONCLUSIONS: The significant improvement in aerobic fitness achieved from 10 d supervised training was maintained after 1, but not 6 months of independent exercise performed as either HIIT or MICT. However, HIIT was able to prevent the apparent deterioration in fasting insulin and HOMA-IR experienced by individuals with prediabetes who were attempting to maintain MICT independently. This study provides preliminary evidence that HIIT may be more effective in preventing the worsening of metabolic function in independently exercising individuals at elevated risk of type 2 diabetes.
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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) | 0.003 | 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".