Body composition and insulin sensitivity after high‐intensity interval training in overweight/obese patients
Bibliographic record
Abstract
We have read with a great interest the article of Gillen et al. (1) recently published in Obesity on the short-term effects of high-intensity interval training (HIIT) in obese women. They reported similar skeletal muscle adaptations (increased mitochondrial capacity) and similar (but modest) body composition improvement after short-term HIIT (6 weeks) in fasted or fed state obese women. Surprisingly, insulin sensitivity was not improved after 6 week of HIIT in both groups probably due to potential influence of patient's diet (not reported in the article) and/or short-term training period. We would like to underlie the importance of patient's diet and nutritional aspects (with exercise intervention) for body composition and insulin sensitivity improvements in obese population. Previous studies demonstrated that HIIT combined with Mediterranean diet (diet focused on nutrient quality, satiety, and palatability) optimally improved body composition and insulin sensitivity in obese patients (2-5). Those studies have found an improved body composition after shorter and longer term HIIT combined with Mediterranean diet (2-5), as well as an improved insulin sensitivity in obese patients (4, 5). We have also developed an optimized, time efficient model of HIIT in obese patients (2, 3, 5), and HIIT combined with Mediterranean diet have superior effects on body composition and insulin sensitivity improvement compared to moderate intensity continuous exercise (3) or mediterranean diet alone (4). As the authors stated (1), compared to sprint interval training, HIIT is more adapted to obese population that often present comorbidities and low levels of fitness. We demonstrated that two 10-min sets of repeated bouts of 15-30 s at 80% of maximal aerobic power interspersed by 15-30 s passive recovery periods (representing 10 min of real exercise), 2-3 time/week are enough to improve body composition, insulin sensitivity, and cardiometabolic risk factors in obese patients. Regarding potential sex differences adaptations to HIIT, we showed similar improvement in body composition, fitness, and cardiometabolic risk factors in obese men and women (metabolically healthy or not) after 9 months of HIIT combined with Mediterranean diet (5). Similarly, we found that insulin sensitivity was similarly improved after the same intervention in obese men and women (Figure 1). In conclusion, intensive exercise intervention such as HIIT combined with Mediterranean diet can optimize health benefits (body composition, insulin sensitivity, and cardiometabolic risk factors) in obese patients, independently of their gender and/or obesity phenotype.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".